Experts Are Divided Over Future Of Artificial Intelligence But Agree On Its Growing Impact – Outlook India

As humans, we love contrast. It is no wonder that experts, while defining the impact of Artificial Intelligence (AI) on the future of humankind, are at two ends of the spectrum. One is a happy scenario of human beings and artificially intelligent machines coexisting in perfect harmony. Another is an Orwellian dystopia of AI dominance over human intelligence and civilization. While there may be disagreements about the future, everyone agrees on the impact and growing ubiquity of AI.

Let us look at the potential impact of AI on our society. Algorithms have been generally successful in predicting almost all the weather calamities (except, of course, earthquakes) with reasonable accuracies. Since we started using AI, global death share from natural disasters since 2010 has reduced from 0.47% of all world deaths to 0.02% in 2017. AI worked wonders in healthcare by increasing the accuracy and timeliness of disease detection. Using a combination of big data and machine learning algorithms, we can predict machine part failures better. Stability of electricity grids, metal productions and commodity prices are predicted with astonishing precisions.

Enterprises were quick to jump on the AI bandwagon. Big four tech companies are seen to have made most of it. In the midst of the pandemic, global news media on June 9 reported an all-time high share prices for these companieswith a combined market capitalisation of almost $5 trillion. These companies are changing the way we live, do business and relax. We navigate lot more smoothly now with maps on our phone and do not need a translator to understand another language. We have super-efficient digital assistants to manage our schedules intelligently and can buy essential items from our phones.

Consumer packed goods companies have started using big data and machine learning to determine which of the retail stores should get what commodity and at what price. Many of the manufacturing organisations worldwide have started using predictive analytics to analyse their planning efficiency. Using AI techniques, logistics and transportation companies have started planning significant route optimisation, reducing cost and delivering faster to ports. Banks, stock markets and insurance companies use data, machine learning techniques and natural language processing techniques to provide the precise stocks and other financial products recommendations to their customers. Transformative aspects of AI seem to be going beyond delivering powerful use cases and outcomes. It seems to be changing the model of business itself. Organisations are no longer getting measured by the number of employees, assets and real estate they hold. Classic adage of David killing a Goliath is not a fable anymore. AI seems to have the potential to take a powerful business opportunity, analyse a lot of data with powerful algorithms and present the outcome through multiple channels to bring transformation right at the doorsteps (or screens) of consumers. Possibly, that is where it is getting a bit worrisome.

In his 2018 best seller Factfulness, Dr. Hans Rosling points out five global risks that should worry the human race. He could not have been more prophetic. First of them was global pandemic; others being financial collapse, World War III, climate change and extreme poverty. In the middle of a significant disruption, AI is seen to present a real disturbing proposition. Can the enterprise bring in more automation to replace the severely depleted job markets? Can the potential of AI create a situation where powerful corporations and states with the power of algorithm, processing capability of big data get into a position of more unassailable lead - where they have absolute power and society? Would we be left with the intent and resources to focus on most important challenge in post COVID world - more people than ever in the state of extreme hunger?

German philosopher Arthur Schopenhauer wrote, Talent hits a target that no one else can hit, Genius hits the target no one else can see. Human geniuses have their limited time to shape the future as clock ticks on.

(The author is partner, Deloitte India. Views expressed are personal.)

See more here:

Experts Are Divided Over Future Of Artificial Intelligence But Agree On Its Growing Impact - Outlook India

"Artificial Intelligence Will Make Medicine Better in the Long Run" – Biophotonics.World

Image source: Leibniz IPHT

By: Sven Dring

Leibniz IPHT is increasingly focusing on artificial intelligence and learning systems. Thomas Bocklitz is heading the new research department "Photonic Data Science". We asked him how AI could help shape the future of diagnostics

What new possibilities does Photonic Data Science open up for diagnostics?

Photonic Data Science is a potpourri combining mathematical and statistical methods with algorithms and domain knowledge to translate measurement data into useful information. We usually translate photonic data into biomedical for example diagnostic information. By translating with the computer, robust diagnostic information can be extracted. Tiny details in complex data can be made useful for diagnostics. This opens up new possibilities for diagnostics.

Artificial intelligence (AI) then helps to evaluate this data. Which technologies researched at the institute are based on AI?

In the laser-based rapid test of infectious pathogens, machine learning methods and algorithms for data pre-treatment are used to translate Raman spectra of bacteria into a resistance prediction i.e. to predict pathogens and antibiotic resistances on the basis of the spectroscopically recorded data. For the compact microscope Medicars we use deep and machine learning techniques to translate multimodal image data into a tissue prediction for the detection of tumor margins. In smartphone microscopy, which is being researched by Rainer Heintzmann's team, image enhancement is achieved by means of deep learning procedures.

Where do the data sets come from that are currently mainly used? Can they be applied equally to all patients?

The data sets are generated within clinical studies, which we supervise from the beginning. The studies are still too small to exclude a gender bias, but we are working on the experimental design so that there is no gender bias in the training data set and we hope that the models will not generate any bias.

Does the automated analysis of medical control data also carry a risk? A loss of control?

Of course, every technology has risks, although these are manageable here. Artificial intelligence or machine learning processes only work well if the new test data is similar to the training data. We try to tackle this problem by creating the necessary similarity through standardization and model transfer in order to im- prove the predictions. There is a loss of control when the models are applied fully automatically. But in the medium term the models will only represent a second opinion, so there will be no loss of control.

Can physicians improve the learning systems? Is the procedure of AI applications comprehensible for them?

Physicians can increase the database or reduce the uncertainty of the metadata i.e. labels by pooling or voting, which leads to better models. The traceability of AI models is a major topic in current machine learning research Keyword "Explainable AI". The aim is to decipher these models in order to make it clearly understandable how mass-based learning methods and deep learning systems achieve their results.

Can AI be perfected to the point where it can eventually make better diagnoses than a human?

I think so, if the data is highly standardized. Another challenge is to demonstrate that improvement. This requires quite long clinical trials and is ethically problematic.

Could AI ever replace doctors instead of just to supporting them? For example, could operations be performed by AI-controlled robots at some point?

I don't think so, because there are many uncertainties in an operation that must be reacted to flexibly. This is not a prominent feature of current AI procedures. It's more likely that the surgical robots will do very specific things directly on the operator's instructions.

Will AI make medicine better?

In the long run, I think so. But first, it will make diagnostics more comparable and it will also allow data to be used not only sequentially, but in combination.

Artificial Intelligence, Machine Learning, Deep Learning

Decision making, problem solving, learning these are actions that we commonly associate with human thinking. We call their automation artificial intelligence (AI). An important part of AI is machine learning (ML). Scientists are researching algorithms andstatistical or mathematical methods with which computer systems can solve specific tasks.

For this purpose, machine learning methods construct a statistical-mathematical model from an example data set, the training data. On this basis, ML methods can make predictions or make decisions without having been explicitly programmed for it. ML techniques are used, for example, for spam detection in e-mail accounts, in image processing, and for the analysis of spectroscopic data. Deep learning is a method of machine learning that is similar to the way the human brain processes visual and other stimuli. Artificial neurons receive input, process it and pass it on to other neurons.Starting from a first, visible layer, the characteristics in the subsequent, hidden intermediate layers become increasingly abstract. The result is output in the last, again visible layer.

Making Tumor Tissue Visible with AI

Did the surgeon remove the entire tumor during surgery? In order to find out, researchers are combining optical methods with artificial intelligence (AI) and data pre-processing methods. AI is behind the compact Medicars microscope, for example, which enables rapid cancer diagnosis during surgery. Here, patterns and molecular details of a tissue sample irradiated with laser light are automatically evaluated and translated into classical images of standard diagnostics. Thus, tumor margins become visible.

"For this purpose, we train AI algorithms together with pathologists," explains Thomas Bocklitz. We take multimodal images of a tissue sample with our laser-based multi- modal microscope. In pathology, the tissue section is then embedded, stained, and an image of the HE- stained tissue section is taken (HE = haematoxylin-eosin). This enables the pathologist to recognize tumor tissue. Then we put the multimodal and the HE image side by side."

Based on the pathologist's analysis of the tissue structure and morphology, the research team teaches the algorithm which tissue is healthy and which is sick. "In this supervised approach, the algorithm learns to distinguish successive, healthy and diseased areas." With success: The accuracy of the predictions is more than 90 percent according to tests on a small group of patients.

Source: Leibniz IPHT

Continued here:

"Artificial Intelligence Will Make Medicine Better in the Long Run" - Biophotonics.World

How machine learning and artificial intelligence can drive clinical innovation – PharmaLive

By:

Dr. Basheer Hawwash, Principal Data Scientist

Amanda Coogan, Risk-Based Monitoring Senior Product Manager

Rhonda Roberts, Senior Data Scientist

Remarque Systems Inc.

Everyone knows the terms machine learning and artificial intelligence. Few can define them, much less explain their inestimable value to clinical trials. So, its not surprising that, despite their ability to minimize risk, improve safety, condense timelines, and save costs, these technology tools are not widely used by the clinical trial industry.

Basheer Hawwash

There are lots of reasons for resistance: It seems complicated. Those who are not statistically savvy may find the thought of algorithms overwhelming. Adopting new technology requires a change in the status quo.

Yet, there are more compelling reasons for adoption especially as the global pandemic has accelerated a trend toward patient-centricity and decentralized trials, and an accompanying need for remote monitoring.

Machine learning vs. artificial intelligence. Whats the difference?

Lets start by understanding what the two terms mean. While many people seem to use them interchangeably, they are distinct: machine learning can be used independently or to inform artificial intelligence; artificial intelligence cannot happen without machine learning.

Machine learning is a series of algorithms that analyze data in various ways. These algorithms search for patterns and trends, which can then be used to make more informed decisions. Supervised machine learning starts with a specific type of data for instance, a particular adverse event. By analyzing the records of all the patients who have had that specific adverse event, the algorithm can predict whether a new patient is also likely to suffer from it. Conversely, unsupervised machine learning applies analysis such as clustering to a group of data; the algorithm sorts the data into groups which researchers can then examine more closely to discern similarities they may not have considered previously.

In either case, artificial intelligence applies those data insights to mimic human problem-solving behavior. Speech recognition, self-driving cars, even forms that auto-populate all exist because of artificial intelligence. In each case, it is the vast amounts of data that have been ingested and analyzed by machine learning that make the artificial intelligence application possible.

Physicians, for instance, can use a combination of machine learning and artificial intelligence to enhance diagnostic abilities. In this way, given a set of data, machine learning tools can analyze images to find patterns of chronic obstructive pulmonary disease (COPD); artificial intelligence may be able to further identify that some patients have idiopathic pulmonary fibrosis (IPF) as well as COPD, something their physicians may neither have thought to look for, nor found unaided.

Amanda Coogan

Now, researchers are harnessing both machine learning and artificial intelligence in their clinical trial work, introducing new efficiencies while enhancing patient safety and trial outcomes.

The case of the missing data

Data is at the core of every clinical trial. If those data are not complete, then researchers are proceeding on false assumptions, which can jeopardize patient safety and even the entire trial.

Traditionally, researchers have guarded against this possibility by doing painstaking manual verification, examining every data point in the electronic data capture system to ensure that it is both accurate and complete. More automated systems may provide reports that researchers can look through but that still requires a lot of human involvement. The reports are static and must be reviewed on an ongoing basis and every review has the potential for human error.

Using machine learning, this process happens continually in the background throughout the trial, automatically notifying researchers when data are missing. This can make a material difference in a trials management and outcomes.

Consider, if you will, a study in which patients are tested for a specific metric every two weeks. Six weeks into the study, 95 percent of the patients show a value for that metric; 5 percent dont. Those values are missing. The system will alert researchers, enabling them to act promptly to remedy the situation. They may be able to contact the patients in the 5 percent and get their values, or they may need to adjust those patients out of the study. The choice is left to the research team but because they have the information in near-real time, they have a choice.

As clinical trials move to new models, with greater decentralization and greater reliance on patient-reported data, missing data may become a larger issue. To counteract that possibility, researchers will need to move away from manual methods and embrace both the ease and accuracy of machine-learning-based systems.

The importance of the outlier

In research studies, not every patient nor even every site reacts the same way. There are patients whose vital signs are off the charts. Sites with results that are too perfect. Outliers.

Rhonda Roberts

Often researchers discover these anomalies deep into the trial, during the process of cleaning the data in preparation for regulatory submission. That may be too late for a patient who is having a serious reaction to a study drug. It also may mean that the patients data are not valid and cannot be included in the end analysis. Caught earlier, there would be the possibility of a course correction. The patient might have been able to stay in the study, to continue to provide data; alternatively, they could be removed promptly along with their associated data.

Again, machine learning simplifies the process. By running an algorithm that continually searches for outliers, those irregularities are instantly identified. Researchers can then quickly drill down to ascertain whether there is an issue and, if so, determine an appropriate response.

Of course, an anomaly doesnt necessarily flag a safety issue. In a recent case, one of the primary endpoints involved a six-minute walk test. One site showed strikingly different results; as it happened, they were using a different measurement gauge, something that would have skewed the study results, but, having been flagged, was easily modified.

In another case, all the patients at a site were rated with maximum quality of life scores and all their blood pressure readings were whole numbers. Machine learning algorithms flagged these results because they varied dramatically from the readings at the other sites. On examination, researchers found that the site was submitting fraudulent reports. While that was disturbing to learn, the knowledge gave the trial team power to act, before the entire study was rendered invalid.

A changing landscape demands a changing approach

As quality management is increasingly focusing on risk-based strategies, harnessing machine learning algorithms simplifies and strengthens the process. Setting parameters based on study endpoints and study-specific risks, machine learning systems can run in the background throughout a study, providing alerts and triggers to help researchers avoid risks.

The need for such risk-based monitoring has accelerated in response to the COVID-19 pandemic. With both researchers and patients unable or unwilling to visit sites, studies have rapidly become decentralized. This has coincided with the emergence and growing importance of patient-centricity and further propelled the rise of remote monitoring. Processes are being forced online. Manual methods are increasingly insufficient and automated methods that incorporate machine learning and artificial intelligence are gaining primacy.

Marrying in-depth statistical thinking with critical analysis

The trend towards electronic systems does not replace either the need for or the value of clinical trial monitors and other research personnel; they are simply able to do their jobs more effectively. A machine-learning-based system runs unique algorithms, each analyzing data in a different way to produce visualizations, alerts, or workflows, which CROs and sponsors can use to improve patient safety and trial efficiency. Each algorithm is tailored to the specific trial, keyed to endpoints, known risks, or other relevant factors. While the algorithms offer guidance, the platform does not make any changes to the data or the trial process; it merely alerts researchers to examine the data and determine whether a flagged value is clinically significant. Trial personnel are relieved of much tedious, reproducible, manual work, and are able to use their qualifications to advance the trial in other meaningful ways.

The imperative to embrace change

Machine learning and artificial intelligence have long been buzzwords in the clinical trial industry yet these technologies have only haltingly been put to use. Its time for that pendulum to swing. We can move more quickly and more precisely than manual data verification, and data cleaning allow. We can work more efficiently if we harness data to drive trial performance rather than simply to prove that the study endpoints were achieved. We can operate more safely if we are programmed for risk management from the outset. All this can be achieved easily, with the application of machine learning and artificial intelligence. Now is the time to move forward.

Continue reading here:

How machine learning and artificial intelligence can drive clinical innovation - PharmaLive

Top Artificial Intelligence and Robotics Investments in July 2020 – Analytics Insight

Artificial Intelligence is growing at a faster pace. Despite the unprecedented situation of coronavirus, 2020 till date has witnessed sustained momentum. Funding has increased by 51% to $8.4B from the previous quarter. With this faster pace, it is also attracting a series of funding and financial investments. Lets go through some of the important investments in artificial intelligence and robotics companies in July 2020.

Amount Funded: $6 million

Transaction Name: Seed Round

Lead Investors: Kindred Capital and Capnamic Ventures

BotsAnduS creates robots that work with people in shopping centers, retail stores, office buildings, airports etc. They aim at digitising the full customer journey by automating the collection of onsite data and providing 24/7 customer service.

BotsAnduS has reported that it has raised a $6m seed funding, which was co-driven by Kindred Capital and Capnamic Ventures, along with angel investors participating in the round.

Amount Funded: $225 million

Transaction Name: Seed E Funding

Lead Investors: Alkeon Capital Management

UiPath, a leading RPA company has brought $225 million up in Seed E funding. The round was driven by Alkeon Capital Management. Other investors participating in the round are Accel, Coatue, Dragoneer, IVP, Madrona Venture Group, Sequoia Capital, Tencent, Tiger Global, Wellington. The funding will be utilized for developing automation solutions in order to mitigate the risks posed on productivity and supply of human workers.

Amount Funded: $100 million

Transaction Name: Series C Funding

Lead Investors: Next47

Skydio is a leader in autonomous flight technology and a U.S. drone manufacturer. Skydio raised $100 million in Series C funding. The round was driven by Next47 along with Levitate Capital, NTT DOCOMO Ventures, and existing investors including Andreessen Horowitz, IVP, and Playground participating in the round. The organization will utilize the funding to grow its operations in public sector markets and accelerate product development.

Amount Funded: $56.2 million

Transaction Name: Series A Funding

Lead Investors: Lightspeed Venture Partners

The Bay Area-based robotics startup , has raised $56.2 million up in Series A funding led by Kleiner Perkins, Lightspeed Venture Partners, Obvious Ventures, Pacific West Bank, B37 Ventures, Presidio (Sumitomo) Ventures, Blackhorn Ventures, Liquid 2 Ventures and Stanford StartX.

Dexterity offers robots for warehousing, logistics and supply chain operations. It has already seen a boost from the push for essential services during the COVID-19 pandemic.

Amount Funded: $13m

Transaction Name: Series A Funding

Lead Investors: Index Ventures

Abacus.AI, a San Francisco, CA-based AI research and AI cloud services company, has as of late brought $13m up in Series A funding driven by Index Ventures, with participation from Eric Schmidt, Ram Shriram, Decibel Ventures, Jerry Yang, Mariam Naficy, Erica Shultz, Neha Narkhede, Xuezhao Lan, and Jeannette Furstenberg.

The company will use the funding to grow its research team and scale its operations.

Amount Funded:

Transaction Name: Series A

Lead Investors: ETP Ventures

Deep Longevity, a biotechnology company transforming longevity R&D through AI-discovered biomarkers of aging, has raised Series A funding of an undisclosed amount. The round was led by ETP Ventures and different prominent investors like BOLD Capital Partners, Longevity Vision Fund, Oculus, Formic Ventures, and LongeVCalso participated.

Amount Funded:

Transaction Name: Seed funding

Lead Investors: Y Combinator

The company raised an undisclosed amount of Seed funding. Nana is building the Guild for the eventual future of work. A distributed workforce of tradespeople, starting with the $4B Appliance Repair industry. Nana is an on-demand home maintenance marketplace. A marketplace meets modern trade school, showing new aptitudes and associating the 10M+ Americans who will be affected via automation to more compelling jobs in the home services space.

Nana is a place for consumers to complete things, and AI and a learning management system for skilled professionals.

Amount Funded: $53m

Transaction Name: Series B

Lead Investors: DCVC

Caption Health, the Calif.-based medical artificial intelligence (AI) company, has raised a $53m Series B funding driven by existing investor DCVC. Other investors which participated in the round are Atlantic Bridge, Edwards Lifesciences, along with existing investor Khosla Ventures. . The company plans to scale up its operations and develop its AI technology platform.

Amount Funded: $6.5m

Transaction Name: Series A

Lead Investors: Debiopharm

Computational biology startup Nucleai raised $6.5m Series A funding led by Debiopharm a Swiss biopharmaceutical company. Previous investors Vertex Ventures and Grove Ventures also participated in the round.

Nucleai offers an AI-powered precision oncology platform that offers biomarker discovery and treatment decisions for cancer treatments. It combines machine learning and computer vision to model the characteristics of both the tumour and the patients immune system.

Amount Funded: 2.5m

Transaction Name: Seed Funding

Lead Investors: NPIF and XTX Ventures

Logicaly, a UK-based dtech startup declared that it has raised 2.5m seed funding from NPIF and XTX Ventures. The company aims to use the funding to continue developing its product in time for the US election.

The startup deploys AI to detect fake and news and misinformation as well as provide fact-checking service to combat fake news.

Read the original here:

Top Artificial Intelligence and Robotics Investments in July 2020 - Analytics Insight

Job interviews: Recruiters are using artificial intelligence to analyse what you say to find the right hire – TechRepublic

Harqen's AI platform analyses language to determine a candidate's suitability for a role, potentially making it less prone to bias than video-based recruitment technology.

Artificial-intelligence-based hiring tools are already transforming the recruitment process by allowing businesses to vastly speed up the time it takes to identify top talent. With algorithms able to scour applications databases in the fraction of a time it would take a human hiring manager, AI-assisted hiring has the potential not only to give precious time back to businesses, but also draw in candidates from wider and more diverse talent pools.

AI-assisted hiring is also posited as a potential solution for reducing human bias whether subconscious or otherwise in the hiring process.

SEE: Robotic process automation: A cheat sheet (free PDF) (TechRepublic)

US company Harqen has been offering hiring technologies to some of the world's biggest companies for years, partnering with the likes of Walmart, FedEx and American Airlines to streamline and improve their hiring processes. Originating as an on-demand interviewing provider, the company has now expanded into AI with a new platform that it says offers a more dependable and bias-free means of matching employers with employees.

The solution, simply called the Harqen Machine Learning Platform, analyses candidate's answers to interview questions and assesses the type of words and language used in their responses. According to Harqen, this allows it to put together a profile of psychological traits that can be used to help determine a candidate's suitability for a role.

Combined with a resume analysis, which provides a more straightforward determiner of whether a candidate's professional and educational background fits with the requirements of the job, Harqen says its machine-learning platform is capable of making the same hiring decision as human recruiters 95% of the time. In one campaign that assessed approximately 3,500 job applications with "a very large US diagnostic firm" in early 2020, Harqen's machine-learning platform successfully predicted 2,193 of the candidate applications that were accepted, and 1,292 that were declined.

Key to Harqen's offering is what the company's chief technology officer Mark Unak describes as the platform's linguistic analysis, which can identify word clusters that are specific to certain job types but also offers a personality analysis based on the so-called "big five" traits, also known as the OCEAN model (openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism), which can help hiring managers determine a candidate's enthusiasm for the position.

"We have a dictionary of terms where most positive words are ranked as a +5 and most negative words are ranked as a -5, so we can determine how enthusiastic you are in the answers that you're giving," Unak tells TechRepublic.

"We can also use a linguistic analysis to analyse the grammar," he adds, noting that about 60% of our vocabulary consists of just 80 words. Those are the pronouns, the propositions, the articles and the intransigent verbs. "The remaining 10,000 words in the English language fill in that 40%. By the analysis of how you use that, we can get a psychological trait analysis."

Harqen's machine-learning tool analyses word clusters to help determine candidates' personality traits, such as enthusiasm.

Source: Harqen.ai

According to Unak, using a machine-learning system that determines a candidate's suitability based on linguistic analysis is a more accurate and impartial method than those that rely on facial-scanning or vocal-inflection algorithms. Such machine-learning techniques within hiring are on the rise and are increasingly being adopted by major companies around the world.

"That's kind of problematic," says Unak. "Not everybody expresses emotions in the same way, with the same facial expressions, and not everybody expresses the same emotion that's expected. Different cultures and different races might have different problems in expressing those facial expressions and having the computer recognise them."

SEE:Diversity and Inclusion policy (TechRepublic Premium)

By only analysing the linguistic content that has been transcribed from recorded interviews, Harqen's algorithm never factors in appearance, facial expressions, or other self-reported personality traits that could be unreliable. Unak says the company will also retrain its models on a regular basis as new data comes in, which will help ensure that algorithms don't get stuck in their old ways if candidates begin giving new answers to questions that are equally relevant.

"If our customer evolves and they start to hire people who are either more diverse, or come up with different answers to the questions that are just as relevant, our models will pick that up," Unak adds.

Diversity whether based on gender, race, age or otherwise has been show to play a significant role in the success or failure of workplace productivity and collaboration. Whether AI-based hiring tools can help here remains to be seen, and ultimately depends on whether they can be implemented in a fair and impartial way.

Beyond diversity, Harqen is exploring how its machine-learning tool could help businesses get the best return on investment form their hiring choices. The magic word here is delayed gratification: the ability to accurately identify employees who can resist the temptation for immediate rewards and instead persevere for an even greater payoff in the future.

"It's grit, it's persistence, it's the ability to imagine a future and it's the ability to develop and execute a plan to get there," says Unak. "Isn't that what hope and delayed gratification mean? I hope for a better future, I can imagine it, my hope is realistic and that there's a plan or a way to get there, and I'm going to work towards it."

Learn the latest news and best practices about data science, big data analytics, and artificial intelligence. Delivered Mondays

Continued here:

Job interviews: Recruiters are using artificial intelligence to analyse what you say to find the right hire - TechRepublic

Unusual four-stranded configuration of DNA plays a vital role in breast cancer – Tech Explorist

Four stranded DNA structures known as G-quadruplexes, form in regions of DNA that are rich in one of its building blocks, guanine (G).

In a new study, scientists from the University of Cambridge discovered that G-quadruplexes form in preserved tumor tissue/biopsies of breast cancer.

Scientists used their quantitative sequencing technology to study G-quadruplex DNA structures in 22 model tumors. The models were generated by taking biopsies from patients at Addenbrookes Hospital, Cambridge University Hospital NHS Foundation Trust, then transplanting and growing the tumors in mice.

During the procedure of DNA replication and cell division that happens in cancer, large regions of the genome can be erroneously duplicated a few times, prompting alleged copy number aberrations (CNAs). The analysts found that G-quadruplexes are common inside these CNAs, especially inside genes and genetic regions that assume a vital job in transcription and, thus, in driving the tumors growth.

Professor Sir Shankar Balasubramanian said,Were all familiar with the idea of DNAs two-stranded, double helix structure, but over the past decade its become increasingly clear that DNA can also exist in four-stranded structures and that these play an important role in human biology. They are found in particularly high levels in cells that are rapidly dividing, such as cancer cells. This study is the first time that weve found them in breast cancer cells.

Dr. Robert Hnsel-Hertsch, who is now at the Center for Molecular Medicine Cologne, University of Cologne, said,The abundance and location of G-quadruplexes in these biopsies gives us a clue to their importance in cancer biology and the heterogeneity of these breast cancers.

Importantly, it highlights another potential weak spot that we might use against the breast tumor to develop better treatments for our patients.

Professor Carlos Caldas from the Cancer Research UK Cambridge Institute said:While we often think of breast cancer as one disease, there are actually at least 11 known subtypes, each of which may respond in different ways to different drugs.

Identifying a tumors particular pattern of G-quadruplexes could help us pinpoint a womans breast cancer subtype, enabling us to offer her a more personalized, targeted treatment.

By targeting the G-quadruplexes with synthetic molecules, it may be possible to prevent cells from replicating their DNA and so block cell division, halting the runaway cell proliferation at the root of cancer. Scientists identified two such molecules one known as pyridostatin and a second compound, CX-5461, which has previously been tested in a phase I trial against BRCA2-deficient breast cancer.

Continued here:

Unusual four-stranded configuration of DNA plays a vital role in breast cancer - Tech Explorist

T-knife Completes 66 Million Series A Financing to Develop Next-Generation T-Cell Therapies – GlobeNewswire

BERLIN, Aug. 06, 2020 (GLOBE NEWSWIRE) -- T-knife GmbH, a next-generation adoptive T-cell company using its proprietary humanized T-cell receptor (HuTCR) mouse platform to treat solid tumors, announced today the closing of a 66 million Series A round of financing. The round was led by Versant Ventures and RA Capital Management, with significant participation from existing investors Andera Partners and Boehringer Ingelheim Venture Fund (BIVF).

The Company was spun out of Max-Delbruck Center for Molecular Medicine with support of Charit University Hospital in Berlin in 2018, where its proprietary HuTCR transgenic mouse platform carrying the entire human TCR gene loci was established by the pioneering work of Prof. Thomas Blankenstein, T-knifes co-founder. Due to its natural in vivo selection of high-affinity TCRs, T-knifes TCR-T-cell platform has the potential to be a marked improvement over existing TCR technologies in treating solid tumors.

Having worked in stealth mode to create a powerful humanized mouse platform bearing the human TCR loci,it is especially gratifying to now receive the validation from esteemed healthcare dedicated funds like Versant Ventures and RA Capital, commented Elisa Kieback, Chief Executive Officer and scientific co-founder of T-knife. We are equally grateful for the continued support of our founding shareholders, Andera Partners andBoehringer Ingelheim Venture Fund, two top-tier healthcare investors who have been our true partners since inception. Going forward, our goal is to become a transatlantic company by establishing a U.S. presence and expanding our management team accordingly.

T-knifes proprietary HuTCR mouse expresses only human TCRs that are restricted to human HLA. Due to their natural generation in mice without negative thymic selection, these TCRs are of high specificity and high affinity. The Company has generated a pipeline of patented, unique TCR candidates for clinical development. Proceeds from the Series A round will be allocated to advancing at least four programs into the clinic, ramping-up preclinical work for additional selected proprietary pipeline candidates and discovering TCRs against novel targets.

Moving forward, T-knifes Board of Directors will be comprised of Josh Resnick (RA Capital), Alex Mayweg (Versant Ventures), Olivier Litzka (Andera Partners), Frank Kalkbrenner (BIVF), Thomas Blankenstein and Elisa Kieback. The Company was advised by Blueprint Life Science Group on the fundraising and by CMS on all legal aspects of the transaction. The new investors were advised by Goodwin Procter. The transaction will close upon governmental and anti-trust clearance.

Alex Mayweg of Versant Ventures commented, While CAR-T-based therapieshave already demonstrated their power in the treatment of hematological cancers, their foray into solid tumors has proven to be less successful. T-knife has developed an exciting technology as its TCR-T cell therapy targets tumor antigens in an MHC-restricted manner, allowing it to be one of the few platforms that is able to target solid tumors. We are consequently thrilled to co-lead this round with RA Capital, a preeminent healthcare dedicated fund, as their investment mandate mirrors our own mission to identify and support game-changing therapies with curative intent.

We are delighted thatT-knife is now an RA Capital portfolio company and are especially pleased to partner with Versant Ventures on leading this financing round, commented Josh Resnick of RA Capital Management. With the Companys financial and strategic support now in place, we look forward to working alongside management and fellow investors bring T-knifes potentially transformative T-cell therapies to solid tumor patients.

Olivier Litzka of Andera Partners added, Together with our seed round co-investor BIVF and their representative Detlev Mennerich, who also served as the Companys Chairman over the past two years, we are extremely proud of T-knifes progress, culminating in this transformational, top quality Series A round. We commend Elisa, Thomas and the team for their accomplishments, and welcome our new partners who share the vision of making T-knife the premier leader in the cell therapy field.

About T-knife GmbHT-knife is a next-generation adoptive T-cell company utilizing its proprietary humanized T-cell receptor (HuTCR) mouse platform technology to treat solid tumors. It was founded as a spin-off from Max-Delbruck Center for Molecular Medicine with support of Charit University Hospital in Berlin in 2018. Ascenion GmbH, technology transfer partner of MDC and Charit, accompanied the scientists from the beginning, continuously expanded the patent base, supported the acquisition of pre-seed funding and the negotiation of collaboration and license agreements in coordination with MDC and Charit.

T-knifes mission is to use its unique technology to bring highly effective and safe T-cell receptor-based therapeutics to market. Based on the unparalleled T-cell immunology expertise of its founders and the unique and proprietary HuTCR platform, the Company develops fully human TCRs which are expected to set new technology standards and to provide superior safety and efficacy. The Company has demonstrated pre-clinical proof-of-concept and its lead TCR has entered clinical development. In addition, T-knife has validated the platform for over 90 undisclosed cancer targets, with several follow-on drug candidates being already in preclinical development. The Company expects to bring three additional TCRs into the clinic by 2022. T-knife is executing a two-pronged corporate growth strategy: developing an internalpipeline of best-in-class therapeutics and in parallel,establishing external partnerships by out-licensing already patentedTCRs and/or providing the Company's HuTCR mouse for unbiased discovery of new epitopes. T-knife is backed by top tier investors Versant Ventures, RA Capital, Andera Partners, and Boehringer Ingelheim Venture Fund.

Contact T-knifeT-knife GmbHElisa Kieback, CEORobert-Roessle-Str. 1013125 Berlin, GermanyTel.: +49 30 94892433info@t-knife.com

Media InquiriesakampionDr. Ludger Wess / Ines-Regina Buth Managing Partnersinfo@akampion.comTel. +49 40 88 16 59 64Tel. +49 30 23 63 27 68

Blueprint Life Science GroupJason WongJwong@bplifescience.comTel.: +1.415.375.3340 Ext. 4

Continue reading here:

T-knife Completes 66 Million Series A Financing to Develop Next-Generation T-Cell Therapies - GlobeNewswire

New study published in the Journal of the National Cancer Institute concludes that Epi proColon is the test of choice for the millions of individuals…

BERLIN and SAN DIEGO, Aug. 10, 2020 (GLOBE NEWSWIRE) -- Epigenomics AG (Frankfurt Prime Standard: ECX, OTCQX: EPGNY; the "Company") announces that a study published by the NCI-sponsored cancer intervention and surveillance modeling network (CISNET) in the Journal of the National Cancer Institute reported that by comparing the incremental cost-effectiveness of CTC, PillCam, mtSDNA (Cologuard) and mSEPT9 (Epi proColon), the study revealed that of these CRC screening alternatives annual screening with Epi proColon is cost-effective. Annual screening with Epi proColon had an incremental cost-effectiveness ratio (ICER) of $63,253 per QALYG. Other efficient strategies were CTC screening every 5 years (ICER: $1,092 per QALYG) and annual (but not every three years) mtSDNA screening (ICER: $214,974 per QALYG), which were not optimal given the willingness-to-pay threshold ($100,000 per QALYG).

Jorge Garces, President and CSO of Epigenomics AG: CISNET microsimulation models are the gold-standard by which the American Cancer Society (ACS), United States Preventative Services Task Force (USPSTF), and other clinical societies base their guideline recommendations for CRC screening. This study supports the findings from another recent study published in Cancer Medicine and adds to the mounting evidence indicating that Epi proColon administered annually can reduce the incidence and mortality of colorectal cancer as effectively or better than other approved methods and most importantly highlights the opportunity for the Epi proColon blood test to serve as the test of choice for those currently resistant to colonoscopy and stool-based screening methods.

The JNCI publication analyzed the clinical effectiveness and performance of various screening strategies under five different scenarios:

Under all scenarios examined, annual Epi proColon was more cost-effective than Cologuard. The authors also conclude that ultimately, the best test is the one that gets done.

Greg Hamilton, CEO of Epigenomics AG: "This is an important publication as it further validates the clinical and cost-effectiveness of Epi proColon. It is also timely as we await the preliminary National Coverage Determination (NCD) from CMS later this month.

As the JNCI authors clearly state: A well-established microsimulation model demonstrates that for people who are unwilling to be screened with FIT or colonoscopy, annual screening with the mSEPT9 is the test of choice given its cost-effectiveness profile compared to CTC, PillCam and mtSDNA.

Epigenomics will hold a conference call on Tuesday August 11, 2020 at 9:30am ET (3:30pm CET) to discuss the publication in more detail and answer questions. Please use the link in the Financial Calendar on the Epigenomics.com website to join the conference call.

About Epigenomics

Epigenomics is a molecular diagnostics company focused on blood-based detection of cancers using its proprietary DNA methylation biomarker technology. The company develops and commercializes diagnostic products across multiple cancer indications with high medical need. Epigenomics' lead product, Epi proColon, is a blood-based screening test for the detection of colorectal cancer. Epi proColon has received approval from the U.S. Food and Drug Administration (FDA) and is currently marketed in the United States, Europe, and China and selected other countries. Epi proLung, a blood-based test for lung cancer detection, and HCCBloodTest, a blood-based test for liver cancer detection in cirrhoticpatients, have received CE mark in Europe.

For more information, visit http://www.epigenomics.com.

Contact:CompanyEpigenomics AG, Geneststrasse 5, 10829 Berlin, Tel +49 (0) 30 24345 0, Fax +49 (0) 30 24345 555, E-Mail: contact@epigenomics.com

Investor RelationsIR.on AG, Frederic Hilke, Tel +49 221 9140 970, E-Mail: ir@epigenomics.com24345 386, Fax +49 (0) 30 24345 555, E-Mail: ir@epigenomics.com

Epigenomics legal disclaimer

This communication expressly or implicitly contains certain forward-looking statements concerning Epigenomics AG and its business. Such statements involve certain known and unknown risks, uncertainties and other factors which could cause the actual results, financial condition, performance or achievements of Epigenomics AG to be materially different from any expected results, performance or achievements expressed or implied by such forward-looking statements. Epigenomics AG is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.

Read the original:

New study published in the Journal of the National Cancer Institute concludes that Epi proColon is the test of choice for the millions of individuals...

Denmark’s 300-year-old homes of the future – BBC News

Most summer days on the Danish island of Ls, youll find Henning Johansen at work. A native islander, Johansen is a thatcher. But on Ls, a thatchers job is unlike anywhere else.

Nineteen kilometres off the north-east coast of Jutland, the island appears in Norse mythology as the home of the giant gir, and, surrounded by shipwrecks, is mentioned throughout Danish naval history. Lss most unique characteristic, however, is its houses, which are thatched with thick, heavy bundles of silvery seaweed.

Seaweed thatching began on Ls in the 17th Century and is largely unique to the island, though seaweed roofs were later reported to have been seen on Scotlands Orkney Islands. Ls, which had a thriving saltworks industry, had been deforested trees were burned to feed the salt kilns so islanders needed to find an alternative roofing material. The island itself has scant resources and, consisting largely of mud flats and sand banks, is difficult to cultivate, so instead residents looked to the sea.

People are always surprised because they're expecting it to smell or be slimy

Driftwood was salvaged from shipwrecks to be used as timber and abundant eelgrass (zostera marina) was dragged from the shore and harvested for the roofs. By the beginning of the 20th Century, most of the islands homes were roofed with seaweed. But, after a fungal disease wiped out much of the eelgrass in the 1920s, knowledge of the technique slowly vanished. Today, only 36 seaweed-roofed houses remain on the 1,800-person island.

Since 2012, Johansen has been reviving the technique as he replaces the roofs, the first in a generation to do so. It's one of the greatest things in Lss history, so its very important for the island, he told me by phone from a roof he was working on. It was women's work, he added, explaining that since the male islanders were often out at sea, the women were left to look after the farms and houses. They were alone on this island and taking care of themselves. They found a way to make these roofs, which is not seen elsewhere in the world. So, of course we are very proud of the heritage.

Around 40 to 50 women would work on the roofs together. They would gather the seaweed after autumn storms, then spread it out on a field to dry for around six months, which would remove micro algae and make it rot resistant. When building began, theyd treat the eelgrass almost as if it were wool by twisting it into large vasks (ropes) then tying them to the rafters to serve as the base. More seaweed would be piled on top and weighed down with peat: the average roof was more than 1m thick and weighed 35 to 40 tonnes. The women would take chairs up onto the completed roofs, where they would sit and scan the treeless horizon for shipwrecks (and possible salvaging opportunities) and move around, even dance, on the seaweed to compress it.

You may also be interested in: The secret to Danish happiness? Is this Europe's most livable city? Exploring Germany's northernmost island

They could make a roof in one day, said Johansen. For his team of five local thatchers, it takes around 21. Because I dont have 50 women.

But its not only for the sake of heritage that Johansen is reviving seaweed thatching. [Eelgrass] is a very interesting material, he said, because it won't burn; theres so much salt in the straw.

While eelgrass is commonly referred to as seaweed, it is actually a type of seagrass, which has long leaves and can grow up to 2m in length. Its found all around the world, though largely in the northern hemisphere. Not only is eelgrass naturally fire-, rot- and pest-resistant, it also absorbs CO2, and as it doesnt require heat to produce, is carbon neutral when harvested and used locally. Eelgrass becomes fully waterproof after about a year and has insulation properties comparable to those of mineral wool, a dense, fibrous material made from molten glass, stone or industrial waste. A roof can last hundreds of years one of islands remaining seaweed roofs dates more than 300 years for comparison, a concrete tile roof typically lasts around 50.

This combination of sustainability and heritage caught the eye of Copenhagen-based American architect Kathryn Larsen, who is currently researching how Lss traditionalseaweedthatching could be updated into a sustainable contemporary buildingmaterial around the world.

While studying at KEA Copenhagen School of Design and Technology, Larsen focused her thesis on Lss seaweed roofs, a subject with few English-language resources. It became this big mystery for me because almost all the information was in Danish, she said. I was really consumed by that for a few years: I would learn more Danish and then I would learn more about this and go back and forth. It became a real obsession.

After discovering that her school had a supply of eelgrass, which it had received from local seaweed farmers, Larsen started experimenting for fun. She developed prefabricated panels to be used on facades and roofs to act as supplementary, sustainable insulation, and installed the panels on the roof of her school to study how eelgrass reacts over time to the elements.

In 50 years all the knowledge about eelgrass disappeared

She soon realised, however, that she needed to create a more public installation. A lot of people were really sceptical, she said about the use of eelgrass. In late 2019 she started work on The Seaweed Pavilion, an installation incorporating her panels into a wooden structure in a courtyard at KEA. I wanted people to be able to sit underneath it and experience this material in person. People are always surprised because they're expecting it to smell or be slimy, so by having a more positive interaction with it, I was hoping to change that perception.

What I really wanted to drive home was that this is a really good form of natural installation, she said, explaining that with this type of installation you don't need a vapour barrier, which is not air permeable. You can use a lot of it and air will go through your building and not get blocked, so the whole construction will breathe and the air quality will be a lot higher.

Larsen wants to change the way the building industry looks at older techniques, which were not only better for our environment, by using natural renewable resources, but were also creating buildings that were a lot healthier for us. Basically, we figured it out, [then] we lost all this knowledge and [now] were building ourselves into a bigger hole where buildings are getting worse and worse in air quality.

Because eelgrass grows worldwide, she sees a huge global potential for it to be used as a sustainable building material, as long as its harvested and used locally.

The eelgrass that she used in The Seaweed Pavilion was harvested and prepared by Kurt Schierup, who uses the same farming and drying technique as those of Lss women, albeit with a machine rather than by hand. Although he established his eelgrass harvesting business Mn Tang in 2016, Schierup has been doing this work since his childhood in the 1950s on the Danish island of Tr, when eelgrass was exported internationally for use in upholstery, insulation and mattresses. Its a nugget of history that underscores how common a material eelgrass used to be.

When I was a kid, 50 years ago, said Johansen, everybody was sleeping on eelgrass in Denmark. But then then the plastic came, very cheap. So, in 50 years all the knowledge about eelgrass disappeared.

On Ls, Johansen still has 10 more roofs to replace. Its been a long project, but one that he says he doesnt want to finish because it's much easier to tell you the history when you come and see me repair old houses. Visitors to Ls are invited to watch him at work on weekdays during the summer where they can see first-hand the way it works, the material, and how interesting it is.

Eelgrass is part of the worlds heritage, he said. You can come to Ls and I can show you your own history from your country because it was once commonly used around the world everywhere from the Dutch Wadden Sea where it was used for building sea walls to New England where homes were insulated with Cabots Quilt, a thermal and sound insulator made of dried eelgrass.

It has a big history, which was very quickly forgotten and now I'm starting to tell it again. It's very easy to tell when you stand beside a very old roof, looking at it, and people say, what a funny material.

Future of Travelis a series from BBC Travelthat investigates what the world might look like to travellers in the coming years and meets the people living on the frontlines of change.

Join more than three million BBC Travel fans by liking us onFacebook, or follow us onTwitterandInstagram.

If you liked this story,sign up for the weekly bbc.com features newslettercalled "The Essential List". A handpicked selection of stories from BBC Future, Culture, Worklife and Travel, delivered to your inbox every Friday.

Go here to read the rest:

Denmark's 300-year-old homes of the future - BBC News

NSA Reports on New Cyber Vulnerability in Computers – ExecutiveGov

NSA

The National Security Agency (NSA) has issued a report on a new cyber vulnerability that threatens certain systems present within theDepartment of Defense and other organizations.

TheBootHole vulnerability allows cyber actors to get through the Secure Boot security standard that makes devices boot only with software trusted by original manufacturers, NSA said Thursday.

Cyber terrorists may use this vulnerability to tamper with a device's boot process. Devices running on Linux orWindows 8 and above may be affected by this vulnerability.

NSA provided two mitigation options in theMitigate the GRUB2 BootHole Vulnerability" report for users of Linux, an operating system that uses the Grand Unified Bootloader 2 or GRUB2 affected byBootHole.

For the standard mitigation, the report advises Linux users to update the boot components ofendpoints. The agency will soon release another report for users of Windows and other systems based on the Unified Extensible Firmware Interface.

Read more:

NSA Reports on New Cyber Vulnerability in Computers - ExecutiveGov

Posted in NSA

The Trump administration reportedly quashed an intelligence report that showed Russia is helping him win the 2020 election – MSN Money

Reuters Russian President Vladimir Putin in a meeting with President Donald Trump. Reuters

Last year, President Donald Trump's administration tried to pressure intelligence agencies to delete part of a classified report that found Russia was trying to help him win the 2020 election, according to an investigation by The New York Times Magazine.

The report, known as a National Intelligence Estimate, was compiled by the Office of the Director of National Intelligence (ODNI) in July 2019 and made several "key judgments" about matters of national security. "Key Judgement 2" in the report concluded that Russia aimed to interfere in the 2020 election to help Trump, unnamed national security sources told Times reporter Robert Draper.

Trump was reportedly unhappy with that finding. He has repeatedly denied the assertion that Russia tried to help his campaign in 2016 despite reports from the FBI, CIA, NSA, Justice Department, and Republican-led Senate Intelligence Committee that supported that conclusion. Russian President Vladimir Putin has similarly denied interfering in the 2016 election, but has also said he wanted Trump to win.

When the ODNI was finalizing last year's report, Trump administration staffers requested that it remove language in "Key Judgement 2" that detailed Russia's attempts to help Trump in 2020, former director of national intelligence Dan Coats told the Times.

"I can affirm that one of my staffers who was aware of the controversy requested that I modify that assessment," Coats said. "But I said, 'No, we need to stick to what the analysts have said.'"

Shortly after that exchange, Coats was surprised to learn that Trump was forcing him into early retirement. He was first made aware of the news when Trump tweeted that Coats' last day as DNI would be August 15 months before Coats planned to retire.

After Coats' departure, the National Intelligence Estimate was published with softer language describing Russia's potential motivation for interfering in the 2020 election. Instead of directly concluding that Russia wanted Trump to win in 2020, the report was updated to state that "Russian leaders probably assess that chances to improve relations with the US will diminish under a different US president."

The changes were made, according to an email reviewed by the Times, following edits by Beth Sanner, an ODNI official who presents President Donald Trump's daily national intelligence briefings.

The episode is part of a broader conflict between Trump and US intelligence communities, Draper reported. After a yearslong FBI probe into possible ties between the Trump campaign and Russia, Trump's Republican allies in Congress are now pushing an investigation into whether the FBI overstepped its authority.

See the rest here:

The Trump administration reportedly quashed an intelligence report that showed Russia is helping him win the 2020 election - MSN Money

Posted in NSA

What and how are you thinking? Anything is possible – Martins Ferry Times Leader

I just finished an interview for the First Light Show airing nationally on Westwood One next week. We talked about how and why we need to bring manufacturing back to the USA creating high wage jobs. Our Region is advantaged because of our proximity to markets, abundant natural gas and natural gas liquids. It was a great opportunity to tell our story to the nation. Shale Crescent USAs thought leadership made this possible.

Dr. Clay Marsh, West Virginia Covid-19 Czar said something profound this week I havent heard anyone in the medical community say directly. We are entering a new time period of learning to live with the virus. I might not have the quote exactly but my understanding is, Covid-19 isnt going away anytime soon even though we are working on vaccines and possible cures. If the virus isnt going away we need to live our lives in a way that protects us and others as we move to normal activities.

Going back to lockdown isnt the answer. We may find extended lockdown was deadlier than the virus because of depression, stress, increased suicide, domestic abuse, substance abuse and deaths from other diseases like cancer, high blood pressure and heart disease that went untreated. One doctor said he has only diagnosed about 1/3 of the cancer cases he normally does. Cancer doesnt take vacations. People chose not to go to the doctor out of fear.

When I had cancer over 30 years ago, my wife pushed me to see a doctor and made the appointment. It was serious enough for me to have surgery the next day. Fortunately, the cancer was found early. My type of cancer spreads quickly. A delay could have been deadly. How many cancer cases have spread into something incurable during Covid-19?

Industries like trucking, healthcare, petrochemicals and others learn to successfully deal with risks every day. Driving to the store, church or the beach is a risk most of us are willing to take. In industry following common sense rules like wearing PPE or seatbelts lowers the risk. Wearing a mask, social distancing and washing our hands does the same for us when dealing with Covid-19. The question isnt if we can get back to business, school or athletics it is, How can we? This question assumes we can, will and must.

We know how we can bring manufacturing back to the USA. I got a new crown from my dentist this week. It was made in the USA out of ceramic and zirconium on a 3D printer instead of by hand in China. My dentist said it wont crack or chip. We are using high tech computerized 3D printing capabilities to make critical healthcare PPE, essential medical equipment, products like Covid-19 tests and parts we are currently getting overseas. Small and medium manufacturing companies in our Region have the ability to change quickly and adopt new technology or change product lines quicker than large companies. This helps to keep current jobs and bring in new manufacturing jobs which are really important now.

Lynnda and I attended Influence 2020 the annual National Speakers Association (NSA) Conference last weekend. It was virtual. NSA is an ethnically and physically diverse association of professional speakers, trainers, coaches, business thought leaders and entertainers. NSA members were hurt by Covid-19 when meetings cancelled. I have a friend with a very successful business who lost 6 months of income in a week when meetings went away.

In addition to the mainstage presentations at Influence, we attended small virtual breakout sessions with the most successful people in the business. These individuals have seven figure businesses. They also have staffs and overhead a business like mine does not have. One individual lost over $1 Million in business almost immediately when meetings and live events began to cancel. I wanted to see how they were thinking in challenging times. These successful people responded honestly and openly to our questions. Their mindsets were surprisingly consistent. The approach they have to this pandemic is something I believe we can all learn from. Here are some thoughts;

The biggest challenge we have living with Covid-19 is our thinking, Hall of Fame Speaker Willie Jolley told us. When we change our thinking, we change our life. The late speaker and radio personality, Earl Nightingale said, We become what we think about. Willie added, Our thinking and attitude are formed by the people we spend time with and the things we read.

One thing all of these successful people did was to give first without any expectation of receiving anything. They knew everyone was hurting in some way. They began by calling their customers and offering to help at no charge. Some had weekly Zoom sessions where they brainstormed solutions or just listened.

Successful people are experts and thought leaders in their space. They are trusted advisors who share their expertise. These individuals challenge people to think. They get paid for their ability to think and to go beyond the obvious. They believe certainty is an illusion. They dont panic in a crisis. They lead.

They know how to refocus and evolve. When the old way is doesnt work find a new way. Their businesses are growing again. Successful people are;

Positive thinkers

Readers

Givers, who give first without expecting something in return

See opportunity even in a crisis. They believe there is always opportunity if we look.

Dont blame. They know that is a waste of time.

Experts in their space and thought leaders.

Exceptional communicators

We are each capable of all of these qualities, if we change our thinking and believe we are capable. How are you thinking? Anything is possible.

Greg Kozera, gkozera@shalecrescentusa.com is the director of marketing and sales for Shale Crescent USA. He is a professional engineer with a masters in environmental engineering who has over 40 years experience in the energy industry. He is the author of four books and numerous published articles.

Today's breaking news and more in your inbox

See more here:

What and how are you thinking? Anything is possible - Martins Ferry Times Leader

Posted in NSA

There Will Be Blowback – Forbes

Caption from US State Dept. "Announcement"

The publication of the Expansion of the Clean Network to Safeguard Americas Assets coming from the Secretary of States office yesterday is an example of posturing and saber rattling that will result in zero impact on intellectual property theft, potentially massive wasted expenditure, and more government encroachment on free markets. It will not end well.

Do not let anyone forget that the new era of digital mercantilism was kicked off in 2013 due to the activities of the National Security Agency. Thanks to Edward Snowden we learned that the NSA, for years, had been tapping undersea cables, forcing major US companies like Apple, Microsoft, Yahoo, Youtube, Skype and AOL (See PRISM slides.) to secretly funnel data to them, tapping communications in major telecom hubs, and developing exploits for HP, Dell, Cisco, Fortinet, Juniper, and Huawei gear.

The reaction from around the world was swift. Trust in US technology products was degraded. The EU reacted strongly with condemnations coming from world leaders whose cell phones had been compromised by the NSA. The EU passed GDPR in part as a reaction. The EU is also attempting to build an alternative cloud platform, Gaia X., to counter the dominance of AWS, Azure, and Google for modern computing infrastructure, despite forcing all of those platforms to build data centers in Europe to keep data in Europe (and, incidentally, give law enforcement and intelligence agencies their own jurisdiction to control and possibly monitor data.)

There has always been an effort on the part of governments to gain control of the means of production, apart from a short period post-Adam Smith, and pre-WWII, when capitalism had a brief moment in the sun. In those days governments were happy to tax output but did not create Soviet style command economies and industrial policies. During the late 90s there were some that thought the internet would free us from national boundaries and restrictions on trade. Any manufacturer of any good could launch a website with a shopping cart and sell anywhere in the world. If the product was digital, like a blog post, ebook, or video, it could be transferred over the internet free of taxes, import duties, or censorship. Those days and that dream are long gone.

Mercantilism according to the Wikipedia entry is:

Mercantilism is an economic policy that is designed to maximize the exports and minimize the imports for an economy. It promotes imperialism, tariffs and subsidies on traded goods to achieve that goal.

Each new administration in the US tries its hand at protecting US industry sectors, from wheat, to sugar, to textiles, to manufacturing. This turns into votes for the politicians and gives the manufactures the ability to raise prices without investing in efficiency and quality.

There is one industrial sector that the US dominatestechnology. Cisco, Juniper, Arista, and others completely own the market for networking gear while engaging in healthy competition with each other. The positions of Google, Apple, Microsoft, Facebook, and Amazon, are demonstrated by their market caps. With a few exceptions software is dominated by US tech companies.

Keep in mind that practically all technology hardware is produced in China for American companies. There is no need for an industrial policy to protect these companies and massive harm could come from anti-China posturing.

The Stick it to China memo has five bullet points and I am just going to assume there are no plans behind them:

-Clean Carriers. This bullet point seeks to bar Chinese telecom providers from the US. Would it be a bad thing if they did move into the US? What if a Chinese carrier delivered 10 gig internet for $10 a month? Sign me up. I dont trust any carrier and everyone should protect themselves from the monitoring of your activity that they engage in by using end-to-end encryption and proxies.

-Clean Store: To remove un-trusted applications from U.S. mobile app stores. This is transparently a policy to back Trumps tweets about TikTok and would be a massive encroachment on Apple and Googles ability to continue to dominate the market for apps.

-Clean Apps: To prevent untrusted PRC smartphone manufacturers from pre-installing or otherwise making available for download trusted apps on their apps store. Leaving aside the internal contradiction, this is aimed squarely at Huawei which sells some of the lowest cost smart phones in the world. I dont trust any app from any store and neither should you.

-Clean Cloud: This section is meant to bar US organization from storing data in Chinese cloud providers, specifically calling out Alibaba, Baidu, and Tencent. That could be disastrous for companies that sell into the single biggest market in the world, China. Once again, never trust any cloud provider. Encrypt all of your data all of the time.

-Clean Cable. To ensure the undersea cables connecting our country to the global internet are not subverted for intelligence gathering by the PRC. We know this is done all the time by the NSA to everyones undersea cables. Other countries do this too. It is completely impossible to protect tens of thousands of miles of cables that lie deep in the ocean. The simple solution to undersea tapping of cables is, you guessed it, encrypt all the data all the time.

Thankfully this ridiculous posturing by the State Department will be short lived. On January 20, 2021, a new Secretary of State will be sworn in and we will return to sane policies. But we must push back whenever we can against the rise of digital mercantilism.

Continued here:

There Will Be Blowback - Forbes

Posted in NSA

TikTok and National Security: The Need for a Comprehensive U.S. Privacy Law – Security Boulevard

Last week, President Donald Trump threatened to ban the popular social media platform TikTok, whose corporate owner is a Chinese company with alleged ties to the Chinese Communist Party. Trumps stated grounds for seeking to ban the popular application was that the app threatens U.S. national security. But exactly how?

I must confess Im not a regular user of TikTok, but my adult children are. TikTok, which has several billion subscribers, allows users to create and share short videospeople impersonating president Trump, dog and cat videos, etc.ranging from the benign to the puerile. So how is it that the application threatens national security?

The short answer is dataor more significantly, data privacy. Or, even more significantly, the unenforceability of data privacy policies.

Tik Tok, like almost every other social media and internet application, collects data on massive numbers of subscribers. It knows who they are, what they like, what they dislike, what they post and what they view. It also knows where they are when they are using the app (and often when they are not), what their IP address is, what kind of browser or phone they are using and a host of other details. Its customers are its product.

Like every other social media platform, TikTok has a privacy policy that purports to set out what data the company may collect, with whom it may share the data and how it can use the data. Nothing in the Tik Tok privacy policy says it can share, give or analyze subscribers data for the benefit of the Chinese Communist Party. It doesnt say, We may give any and all of your information to our Chinese Army overlords, who may use this to target you and your family as an American imperialist pig-dog It doesnt say, By using TikTok you agree that the Chinese Communist Party can know your sexual orientation and may use this and other knowledge to blackmail you should you ever pose a threat to the great leader But then again, nothing in the privacy policy says that TikTok cant. At least not explicitly.

As a result, a number of privacy class action lawsuits alleging that TikTok violates the federal Childrens Online Privacy Protection Act (COPPA) have been recently consolidated into one single class action suit in the Northern District of California. The lawsuits allege that TikTok sends users data (including those of minors) to China. TikTok says that its servers are in the U.S., but also notes that the company can transfer data to Beijing, if it so chooses, without breaking any laws. As TikToks responsive pleading in the class action case noted, [t]he Apps privacy policy also fully discloses that user data will be shared with TikToks corporate affiliates and third-party business partners and service providers, as is standard with free social networking apps that have a business model based on advertising.

In fact, TikToks privacy policy is similar to those of Facebook, Twitter, WeChat and other social media outlets or short content providers. It provides general platitudes about only sharing data with business partners and only to help provide services and enhancements and to customize content and to infer information about you Like other providers, TikTok says, We may disclose your information to respond to subpoenas, court orders, legal process, law enforcement requests, legal claims, or government inquiries, and to protect and defend the rights, interests, safety, and security of TikTok Inc., the Platform, our affiliates, users, or the public. We may also share your information to enforce any terms applicable to the Platform, to exercise or defend any legal claims, and comply with any applicable law.

Again, on the surface, its pretty anodyne stuff. So why the national security tag? I mean, does information about dogs in pajamas really threaten to bring down the worlds longest-lasting democracy?

The short answer has little to do with the fact that TikToks parent company is Chinese-owned and has more to do with the power of informationparticularly personal information. Information about peoples likes and dislikes, members of their family, facial recognition, travel, location, politics, finances, sexual orientation, friends, education, employment, search history and intimate connections are the kinds of things that used to take months or years for spies to collect and cultivate. Now its a few mouse clicks away. It is rife with potential for misuse and abuse. In fact, its often impossible to tell the difference between appropriate and inappropriate use of such data. Lets face it, you are being surveilledmaybe by Facebook, maybe by Proctor & Gamble, maybe by the Coca-Cola Co., maybe by the Chinese Communist Party. And you are making it very easy to be surveilled. You post on Facebook, you share on LinkedIn and you tweet. And, if you are below a certain age, you use TikTok.

What distinguishes TikTok, at least in the opinion of the U.S. government, is not the information the company collects, stores, processes or shares. Its not the aggregation, analysis and slicing and dicing of that information. Its not the intimate profiling and use of the analyzed data or even the sharing of that data. And, its not that there is not something called a privacy policy that governs the collection and use of that data.

Its that because TikToks parent corporation is Chinese, we dont believe the company will adhere to its privacy policy, and, if it doesnt, we have no effective remedy. Therefore, we have to assume (well, we say we have to assume) that everything collected and shared by TikTok is simultaneously shared with the Chinese Ministry of State Security (MSS). Just as Europeans may assume that everything collected or stored by U.S. companies or cloud providers is simultaneously shared with the NSA. It doesnt matter whether it is true or not; it is perceived to be true, and that makes it a national security concern. Same for Huawei and ZTEthe U.S. government assumes that these entities are agents of the Chinese Communist Party acting on behalf of their government overlords. In fact, it was a perception that the NSA can compel U.S. companies to produce dataparticularly mass data about non-US personsthat lead an EU court in July to rule that the U.S./EU commercial data-sharing agreement known as Privacy Shield was unenforceable.

Using data as a weapon is nothing new. Scraping and analyzing data can help intelligence agencies profile and target people for recruitment or intimidation. LinkedIn and Indeed can be used to gather information about people with high-level security clearances. Facebook and Twitter and other social media can be the source for massive facial recognition programs such as Clearview AI. Under current U.S. law, most of this data is entitled to little if any legal protection, provided that the anodyne and amorphous privacy policies can be said to provide some modicum of notice to the data subjects that their data is being collected and that it might be used. It is that issue that needs to be addressed: a firm and unshakable commitment to protect the privacy of social media information. With openness and completeness.

Frankly, reading TikToks privacy policy, I have NO CLUE whatsoever what it does with subscribers information, with whom it shares that information and for what purpose, and I read privacy policies for a living. The best I can say is the company collects a lot of data and shares it with anyone that helps with TikToks business model. And at least that part is true whether it is owned by ByteDance or Microsoft.

Recent Articles By Author

Go here to see the original:

TikTok and National Security: The Need for a Comprehensive U.S. Privacy Law - Security Boulevard

Posted in NSA

Buhari to overhaul the nation’s security apparatus, says NSA – TheCable

President Muhammadu Buhari is planning a complete re-engineering of the nations security apparatus, according to Babagana Monguno, national security adviser.

Monguno broke the news to state house correspondents after a security briefing on Tuesday.

The president, according to Monguno, told service chiefs at the briefing that their effort is not good enough.

Monguno said since the issues are operational, Bashir Magashi, minister of defence, is working on something and will likely give a new direction to the security agencies in the days to come.

He said Buhari told the service chiefs that Nigerians have lost confidence in the security sector but he is determined to restore that confidence.

The president is angry over the declining security situation. At the last meeting, he mentioned it, Monguno said.

What he said today is virtually a reaffirmation of what he said the first time. Yes Mr President said you are doing your best, as far as Im concerned, but theres still a lot more to be done. Im more concerned about the promise we made to the larger Nigerian society and I am ordering an immediate re-engineering of the entire security apparatus.

This is something that I believe will be done in a very short time, but I just want us to keep hope alive.I know how everybody feels, I know how Nigerians feel, definitely the president is not oblivious of the fact that securing the nation is a primary responsibility of government and I believe in his sincerity, but again, since hes not an octopus, since hes not a spirit, if he delegates to people, then the onus is on them to actually fulfil the legitimate expectations of the larger Nigerian society.

There have been complaints over the widespread insecurity in the country, with many asking the president to fire the service chiefs.

On Monday, governors said they were planning to meet with the president over the rising insecurity in the country.

They also said the attack on the convoy of Babagana Zulum, their Borno counterpart, is an indication that the country is not safe.

Boko Haram insurgents had opened fire on the convoy of the Borno governor in Kukawa local government area last week.

Read more:

Buhari to overhaul the nation's security apparatus, says NSA - TheCable

Posted in NSA

David Peterson Continues Solid Stretch in Win Over Marlins – metsmerizedonline.com

Heading into Saturdays evening soire versus the Miami Marlins, New York Mets left-hander David Peterson had been holding his own, pitching to a 3.86 earned run average (3.00 FIP) with 8.49 strikeouts and 2.3 walks per nine innings over his first two major league starts.

That will play.

In his first start at Citi Field in Flushing on Saturday, the 66 southpaw continued on his streak of effectiveness and, impressively so, did it with a fair amount of traffic on the bases throughout the night.

Three consecutive two-out base hits in the first from Jesus Aguilar, Corey Dickerson, and Brian Anderson resulted in an early 1-0 lead for Miami. Not an ideal start to the night, but it could have been worse.

The Aurora, Colorado product would issue two one-out walks in the second but induced a 5-4-3 double play off the bat of Jonathan Villar to escape the jam. Grace under fire; love to see it.

Peterson returned to the mound in the third with a 2-1 lead courtesy of Michael Confortos searing two-run homer to right-center field in the bottom of the second and recorded his first 1-2-3 inning of the evening.

Following Pete Alonsos 116.9 MPH exit velocity two-run blast in the bottom half of the frame, extending the Mets lead to 4-1, Peterson seemed all the more comfortable and set down Miami in order again, racking up two strikeouts in the inning (Anderson and Lewis Brinson, both swinging).

Peterson left a 91 MPH four-seamer over the heart of the plate for Logan Forsythe to lead off the fifth and the journeyman veteran sent it 410 feet out to deep-center, cutting the Mets lead to 4-2 but that would be the extent of the damage the big lefty would allow.

Over five innings of work (84 pitches, 46 strikes), Peterson allowed two earned runs on four hits with three strikeouts and three bases-on-balls, bringing his season ERA down to 3.78.

He picked up three whiffs apiece on 22 sinkers and 14 sliders respectively, and racked up a total of nine called strikes on his four-seamer (five, 35 pitches) and changeup (four on 10 offerings). Keep em on their toes, David.

Over his first two starts, Peterson showed excellent command over his arsenal, walking just three batters over 11.2 innings. On Saturday, putting them over the plate appeared to be a bit more of a chore for the left-hander.

There was two times that I threw seven balls in a row; that just cant happen. Down the road, thats gonna hurt and its just unacceptable on my part, Peterson said after the game. My job is to hunker down and get out of those innings.

The biggest thing for me in those is reducing the damage. Trying to get out [of] there with the least amount of damage as possible, he said. I didnt have the greatest command tonight, but if I walk some guys, I need to be able to get myself out of it.

Peterson did a fine job of getting out of trouble on Saturday. Lets hope this trend of efficaciousness continues.

See the original post here:

David Peterson Continues Solid Stretch in Win Over Marlins - metsmerizedonline.com

Professor Jordan Peterson reported to have COVID – The Bay Observer – Providing a Fresh Perspective for Hamilton and Burlington

The Sun.UK is reporting that controversial University of Toronto psychology professor Jordan Peterson is in a hospital in Serbia suffering from Coronavirus. Mikhaila Peterson, 28, told The Sun her dad was infected while being hospitalized for treatment of a prescription drug dependency. Ms Peterson said her fathers symptoms were not severe, but doctors prescribed several anti-viral drugs. She also told the newspaper that her father is suffering from his second bout of pneumonia this year.

And so now weve had a step back in his recovery. Life is just not good, things are not good right now, she said. Hell get better, but hes definitely taken a step back and its just really unfortunate its been a disaster.

Peterson has been the target of social media pushback for his outspoken rejection of cancel culture and many of its tenets.

Peterson says that disciplines like womens studiesshould be defunded. advising students to avoid subjects like sociology, anthropology, English Literature, ethnic studies and racial studies, as well as other fields of study that he believes are corrupted by the neo-Marxist ideology.

Get notified about exclusive offers every week!

Read this article:

Professor Jordan Peterson reported to have COVID - The Bay Observer - Providing a Fresh Perspective for Hamilton and Burlington

Minnesota pastor appears on Penn and Teller’s TV show | INFORUM – INFORUM

It was presented as kind of a mystery to me, Peterson says. He wouldnt tell me what it was, but he was going to be doing something, and would I be willing to come in through FaceTime.

That "something" was Sommers guest appearance on the CW show Penn & Teller: Fool Us," a competition in which magicians perform tricks in front of American magician-comedian duo Penn & Teller.

Sommer, an actor known for shows like Mad Men, In the Dark and Glow, was asked to call a friend to be part of a magic trick involving the audience.

To see the entire segment, go to the shows website.

Peterson says he was a little surprised when the phone rang.

It wasn't my friend Rich, it was Penn Jillette, who said, 'Hi, you're on stage right now, and we're going to be doing a magic trick with you.' And I said, 'Wow, this is amazing!'" Peterson recalls.

Peterson says they had a nice chat.

I was really excited. As they do in all television shows, they edit things down quite a bit, so there was a lot more conversation that happened back and forth between Penn and I, he says.

It was especially fun for Peterson and presumably Sommer because the two men have been fans of Penn & Teller since they were boys growing up in Stillwater, Minn.

My parents took us to see Penn & Teller at the State Theatre in Minneapolis. I think we were 13 or 14 years old, Peterson says. But we fell in love with Penn & Teller and have just kind of followed them for a while.

Peterson says he never would have imagined then that as a grown man hed get to take part in Penn & Tellers act.

It was mind-blowing for me now, but my 13-year-old self would have probably would have fainted, he says.

Eventually, Sommer and Peterson both left Stillwater to attend Concordia College in Moorhead, where they were roommates. Peterson attended the seminary and is now a pastor at Trinity Lutheran Church in Moorhead, while Sommer has had a successful TV and film career, getting his first big break in The Devil Wears Prada.

Peterson says the segment was actually filmed in March before the pandemic hit. Since then, he still stays in touch with Sommer and other friends on weekly Zoom calls. He says he enjoyed helping with the magic trick, and in case youre wondering, he doesnt know how they did it. But he says he doesnt have any more brushes with fame planned.

I think the ministry is my calling. I think that's where we'll be at, Peterson says.

But Trinity Lutheran Church members, dont be surprised if he asks you to pick a card" during his next sermon.

Originally posted here:

Minnesota pastor appears on Penn and Teller's TV show | INFORUM - INFORUM

SOUND OFF: Can trees, newspapers and Trump get any respect? – The Bakersfield Californian

Reader: First, I love The Bakersfield Californian the comics, puzzles, many great columnists, and of course, news. My father was a newspaperman also. He owned his own paper, lost it in the Depression and then worked for several other papers, including lastly, the N.Y. Daily News.

I am a tree lover, have owned several places with many types of trees pine, palm, mulberry, oak, crape myrtle, Chinese elm, maple, poplar, fruit trees, but I really love the Ailanthus. It's a beautiful tree and should not be belittled since it grows easily.

You may want a nice old oak tree, but if you move to a yard that has nothing but dirt, you'll be very happy to grow a lovely Ailanthus, which will give you shade within a year. Just because a tree is hardy and fast-growing is no reason to insult a tree that given the chance, can grow to be large and beautiful.

Joan Owen, Bakersfield

Peterson: Joan, I am thrilled to hear you love The Californian. While I don't come from a family of newspaper people like your father, my mom tells me my great-grandfather read multiple newspapers in English and Polish from cover to cover every morning in Chicago. We like to think that inspired my love for newspapers something in our genes!

I'm not a tree expert, but I think the description Steven gave of the Ailanthus "the back yard sports several so-called trees of heaven, a vigorous invasive species that clones itself so efficiently a sucker is growing from a crack in the covered front porch" is accurate. Some websites I looked at basically describe it as a weed, which seems a bit harsh.

I guess when it comes to trees, it's to each his or her own! We all have our favorites.

Reader: What a great edition of TBC you had on Wednesday, Aug. 5. Not only were there three great philosophical cartoons in the comics section, but that ad asking us readers to help out. You guys and gals are at the center of our big newspaper family universe. I was already going to call all the people you listed in your ad, even before I read the little letters that explained so much ...

Whoever wrote it and gave the final OK is both a genius, and a fair deal-maker. That piece of legislation mixed up the nation's newspaper business with the nation's lawmakers and we citizens, who are the final product. It's going to make newspapers live and thrive until the money that pays for those business and personal ads return ...

After I read the intro, I was going to agree even before I read the details. Not only would I like to thank the wealthy patriots who bought The Washington Post, the not-failing New York Times, the Los Angeles Times, I would like to thank whoever bought TBC. I don't care about any of the changes made when papers were merged to print in the same place. Someone bought TBC for the love of the game. Too bad the Seattle Post-Intelligencer, Denver's big guy, and others were not able to last as long.

But, it's like every month you have to PAY people to come through the gates. It's not going to last forever, but there are real American First Amendment Intellectuals who will step up to the plate forever I hope.

Even though a lot has changed both internally and physically, and quickly it's still thrown on my driveway every morning. Life is good.

Thank you for hanging in there and printing that Wednesday TBC.

Peterson: Life is good with newspapers, Matt, and I'm glad you enjoy The Californian.

The legislation Matt's referring to is the Local Journalism Sustainability Act, which, if passed by Congress, would provide a tax credit for local newspaper subscriptions, a payroll credit for compensation of journalists and a credit for advertising in local newspapers and local media.

Reader: There are not many happy headlines to read in the paper these days, what with COVID-19, political wrangling, weather, fires, etc. But on July 31, John Cox made the best of a bad assignment with the headline "Lice become one more head-scratcher during pandemic." Very witty and funny! Keep up the good work, John.

Bob Goon, Bakersfield

Peterson: Believe it or not, Bob, John Cox wasn't assigned this story, which was much different from the business stories he most often tackles. Rather, he came across a news release in his email inbox about the prevalence of head lice as many families with children are staying close to home, and ran with it. And yes, that headline, which he kicked around with News Editor Teddy Feinberg, was perfect for this head-scratcher of a story.

Reader: I have to give you credit for consistency. Letters to the editor supporting Trump always give solid reasons and encouragement. Then there is the obligatory Trump hater or haters who have a lot of emotional problems that they have to vent. Even todays (Wednesday's) editorial cartoon about changing the election date is fundamentally a lie, misleading and contributes nothing to the solution of Californias grossly illegal and unconstitutional voting system. Oh, well, I dont expect you to change. I still enjoy my crossword puzzle.

Peterson: Glad you enjoy your crossword puzzle, Jerry.

For every person like you who says there are Trump haters who have emotional problems they have to vent, I hear similar comments from the other side.

I'm not sure how Wednesday's editorial cartoon, which depicted a woman looking at a photo of President Trump and saying "now he wants to move the election" is "fundamentally a lie" and "misleading." Is it the headlines in the newspaper the man is holding, which also are true?

Did not Trump tweet on July 30 that With Universal Mail-In Voting (not Absentee Voting, which is good), 2020 will be the most INACCURATE & FRAUDULENT Election in history. It will be a great embarrassment to the USA. Delay the Election until people can properly, securely and safely vote???

According to a July 31 Associated Press report, "GOP officials from New Hampshire to Mississippi to Iowa quickly pushed back against Trump's suggestion on Thursday (July 31) that it might be necessary to delay the November election which he cannot do without congressional approval because of the unfounded threat of voter fraud. They reassured voters that the election would proceed on the constitutionally mandated day as it has for more than two centuries."

Did I miss something, Jerry?

Executive Editor Christine Peterson answers your questions and takes your complaints about The Californians news coverage in this weekly feedback forum. Questions may be edited for space and clarity. To offer your input by phone, call 661-395-7649 and leave your comments in a voicemail message or email us at soundoff@bakersfield.com. Please include your name and phone number; your phone number wont be published.

More:

SOUND OFF: Can trees, newspapers and Trump get any respect? - The Bakersfield Californian

Could This ‘New’ Coloured Cotton Technology Eliminate Toxic Dyes? – Eco Warrior Princess

This summer, a group of scientists at CSIRO in Canberra have developed a method to grow cotton that has the potential to wipe out the need to dye the fabric by genetically modifying the fibre. Their experiments have cracked cottons molecular colour code in order to diversify the crop from its natural off-white or the earthy green and brown hues of naturally coloured cotton, into potentially every shade of the rainbow. In just a few months time, theyre hoping for their first harvest of brightly coloured cotton fibre, revolutionising Australias $2 billion cotton industry by eliminating toxic dyes from the production process.

The innovation comes at a moment when the environmental impact of textile dyes is reaching a breaking point. Mainstream dyeing techniques used extensively across the industry still use carcinogenic chemicals that threaten the health of factory workers. Whats more, the irresponsible disposal of toxic waste from processing plants pollutes waterways that millions of people and animals rely on as their lifeblood, with nearly 20% of all water pollution originating from textile dyeing treatments. Its said that in some parts of China and India, local communities can predict the next big colour trend in fashion by simply looking at the colour of the river, which 2016 sustainable fashion documentary RiverBlue showcases in graphic and heartbreaking detail.

But these colourful chemicals are just the tip of the iceberg. The true cost of colour is arguably its water footprint. Unless waterless dye technology is used, approximately 200 tonnes of water is required to make just one tonne of fabric. Cotton is also already an incredibly thirsty fabric before it even reaches the dyeing stage, with around 10,000 litres used for every one kilogram of cotton. When used in denim production, intense dark shades like indigo and black are often regarded as the most polluting and resource-intensive colourants, so if cotton growth in fashion-friendly colours takes off, the industrys water consumption could take a much-needed nosedive.

Related Post: 5 Films That Delve into the Social and Environmental Impacts of Fashion

Ethical fashion writer Elizabeth L. Cline has challenged the scientific discovery, reminding us that the concept of coloured cotton plants is in fact an ancient technology developed by indigenous cultures in the Andes region over four thousand years ago. More recently, coloured cotton has slipped under the radar as one of the biggest eco-trends of the 1990s, used extensively by California cotton breeder Sally Fox.

Another criticism of this new cotton technology is that it is essentially yet another GMO (genetically modified organism) seed ripe for monopolisation by the likes of Monsanto, a vast multinational corporation which holds unthinkable power over cotton farmers around the world. Monsanto controls about 95% of the cotton market through its privatisation of GMOs, which has colossal consequences for agricultural workers. This includes a shocking 300,000 suicides in India alone as a direct result of crippling debt, yield instability and even threats of jail time and violence incurred from the trap of Monsantos empire.

It is also important to mention that while it can be seen as more sustainable than synthetics, cotton is not necessarily any kinder than fashions other favourite fabric, polyester. Just because cotton is biodegradable and renewable rather than a microfibre-releasing plastic made from crude oil doesnt mean the industrys focus should be on improving such a problematic plant in the first place. More low-impact fabric alternatives include other plant-based materials such as hemp, bamboo, nettle and linen as well as man-made cellulosic fibres like viscose, modal and tencel. However, cotton still makes up over a fifth of all new garment production (although only about one percent of this cotton is organic), therefore any innovation that aims to make the natural fabric more sustainable is welcome in a sector that is still so reliant on such excessive water and pesticide consumption.

Related Post: Wrangler Indigood Collection: Iconic Denim Takes First Sustainable Steps with New Dye TechnologyLooking forward, the same group of CSIRO scientists behind this colourful cotton project are also still in the process of developing cotton plants which could eventually generate wrinkle-free fabric. Hoping to eradicate the environmental impact of ironing clothes and the intense chemical treatments such as formaldehyde used to create non-iron shirts, the team have spent the last few years testing thousands of cotton plants to develop new varieties with greater elasticity than their synthetic counterparts.

Other researchers are turning to natural dyes and regenerative agriculture to transform fashions footprint from its desire for an ever-growing spectrum of colours on the catwalk. Fibershed is a non-profit enterprise driven by regional communities which, as founder Rebecca Burgess recently told Atmos, was born from a dream to decouple the color from the toxicity through ancient forms of ecological technology. Perhaps the secret to dye-free textiles is not in the laboratory, but in the soil after all.

Recommending reading:

Cover image of garment fabric being hung out to dry taken in Narayanganj, near Dhaka, Bangladesh. Photo by Sk Hasan Ali.

Read the rest here:

Could This 'New' Coloured Cotton Technology Eliminate Toxic Dyes? - Eco Warrior Princess