Wedding memories and mothers raisin pie – Manistee News Advocate

Lovina Eicher, Amish Kitchen

Tables decorated for Lovina and Joe Eicher's wedding in 1993. (Courtesy photo)

Tables decorated for Lovina and Joe Eicher's wedding in 1993. (Courtesy photo)

Tables decorated for Lovina and Joe Eicher's wedding in 1993. (Courtesy photo)

Tables decorated for Lovina and Joe Eicher's wedding in 1993. (Courtesy photo)

Wedding memories and mothers raisin pie

July 15 was our 27th anniversary. Lots of memories throughout the years since Joe and I were married.

This is what my mother wrote in her column in July 1993 about our wedding. Mother wrote,

The weather was ideal for the wedding of daughter Lovina to Joe Eicher. Lots of work at such a time.

The Tuesday before the wedding, which was Thursday, July 15, about two dozen women came to help. They baked 90 pies (oatmeal, cherry, raisin, and rhubarb) and made 14 batches of nothings. Didnt really want that many pies, but that number came upon us before we knew or thought of it. Well anyways no worry to run out of pies.

Wednesday about a dozen girls came to peel potatoes, cut up vegetables for the dressing and make potato salad for which I had cooked a twenty-quart cooker full of potatoes. Also, the tables were set and the last minute cleaning done. Our wash house or shed saw lots of life out there, as all the work was done in there to prepare for the wedding ceremony. Wednesday evening quite a few of our friends came to see the wedding tables, and refreshments were served to the ones that came. It was an enjoyable evening.

Then came the wedding day. We started to fry chicken (300 pounds) at 4:15 a.m. which was served for dinner. Had enough for supper too and also served boneless ham. Our meals consisted of chicken and noodles, gravy, mashed potatoes, dressing, chicken, buttered corn, green beans (which came out of our garden), pork and beans, potato salad, carrot salad, lettuce salad (plenty from the garden), hot peppers, Swiss cheese, fruit salad, tapioca pudding, pies, cakes, nothings, celery sticks, coffee, bread, rhubarb jam, and butter. There were around 18 skillets used to fry the chicken. We cooked 3 twenty-quart cookers of potatoes for dinner for mashed potatoes and 2 twenty-quart cookers for chicken and noodles. In the afternoon we again cooked over 3 twenty-quart cookers of potatoes to be mashed and more chicken and noodles for supper. Also 16 quarts of gravy. There were 28 women to prepare the meals. We could seat 98 people in the house and 70 in the wash house. The tool shed was cleaned out where the wedding services were held and later used to set up a table for the children for the noon and evening meals. We had quite a crowd here for both meals. Well enough of this for now. What a relief to have it over with.

I have so many precious memories of mother and how much she did for her family.

Joe was called back in to work this week after being laid off since March 23. It sure is a relief to us to have his income coming in again.

Yesterday, son Benjamin turned 21, so he wanted the family to come home for supper. He ordered out pizza and wings for all of us. What a treat is was! Chips, cheeseball and crackers, and ice cream were also added to the menu. I didnt get time to make a cake and didnt for daughter Lorettas birthday either. With son Josephs birthday coming up next week, it looks like we will have one cake for all the July birthdays. Its almost too much cake for one month if we have three. Benjamin said he wouldnt eat cake anyway, so he didnt care that there wasnt a cake.

Since I am running out of space, I will write about our family gathering at sister Leah and Pauls house next week.

I will share the recipe for Mothers raisin pie. God bless!

Lovinas Amish Kitchen is written by Lovina Eicher, Old Order Amish writer, cook, wife, and mother of eight. Readers can write to Eicher at PO Box 1689, South Holland, IL 60473 (please include a self-addressed stamped envelope for a reply); or email LovinasAmishKitchen@MennoMedia.org and your message will be passed on to her to read. She does not personally respond to emails.

Raisin Pie

2 (8-inch) unbaked pie crusts

1 cup raisins

2 tablespoons clear gelatin

pinch of salt

1 cup sugar

1 tablespoon apple cider vinegar

1 cup water

Preheat the oven to 400 degrees. Use one crust to line an 8-inch pie pan. Cook the raisins with water to cover in a kettle over medium heat until plump and juicy, about 15 to 30 minutes. In a bowl, make a thickening with the gelatin, salt, sugar, vinegar, and water. Pour into the raisin mixture. Cook until the mixture is thick enough to stick to a spoon. Add more sugar if it is not sweet enough for you. Pour into the pie shell. Cover the top with the remaining pie crust and seal and flute the edges. Cut slits in the center for steam to escape. Bake for 30 minutes, until the top is golden brown. Makes 1 (8-inch) pie.

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Wedding memories and mothers raisin pie - Manistee News Advocate

Artificial intelligence predicts which planetary systems will survive – Princeton University

Why dont planets collide more often? How do planetary systems like our solar system or multi-planet systems around other stars organize themselves? Of all of the possible ways planets could orbit, how many configurations will remain stable over the billions of years of a stars life cycle?

Rejecting the large range of unstable possibilities all the configurations that would lead to collisions would leave behind a sharper view of planetary systems around other stars, but its not as easy as it sounds.

Separating the stable from the unstable configurations turns out to be a fascinating and brutally hard problem, said Daniel Tamayo, a NASA Hubble Fellowship Program Sagan Fellowin astrophysical sciences at Princeton. To make sure a planetary system is stable, astronomers need to calculate the motions of multiple interacting planets over billions of years and check each possible configuration for stability a computationally prohibitive undertaking.

Astronomers since Isaac Newton have wrestled with the problem of orbital stability, but while the struggle contributed to many mathematical revolutions, including calculus and chaos theory, no one has found a way to predict stable configurations theoretically. Modern astronomers still have to brute-force the calculations, albeit with supercomputers instead of abaci or slide rules.

Tamayo realized that he could accelerate the process by combining simplified models of planets' dynamical interactions with machine learning methods. This allows the elimination of huge swaths of unstable orbital configurations quickly calculations that would have taken tens of thousands of hours can now be done in minutes. He is the lead author on a paper detailing the approach in the Proceedings of the National Academy of Sciences. Co-authors include graduate student Miles Cranmer and David Spergel, Princetons Charles A. Young Professor of Astronomy on the Class of 1897 Foundation, Emeritus.

For most multi-planet systems, there are many orbital configurations that are possible given current observational data, of which not all will be stable. Many configurations that are theoretically possible would "quickly" that is, in not too many millions of years destabilize into a tangle of crossing orbits. The goal was to rule out those so-called fast instabilities.

We can't categorically say This system will be OK, but that one will blow up soon, Tamayo said. The goal instead is, for a given system, to rule out all the unstable possibilities that would have already collided and couldn't exist at the present day.

Instead of simulating a given configuration for a billion orbits the traditional brute-force approach, which would take about 10 hours Tamayos model instead simulates for 10,000 orbits, which only takes a fraction of a second. From this short snippet, they calculate 10 summary metrics that capture the system's resonant dynamics. Finally, they train a machine learning algorithm to predict from these 10 features whether the configuration would remain stable if they let it keep going out to one billion orbits.

We called the model SPOCK Stability of Planetary Orbital Configurations Klassifier partly because the model determines whether systems will live long and prosper, Tamayo said.

SPOCK determines the long-term stability of planetary configurations about 100,000 times faster than the previous approach, breaking the computational bottleneck. Tamayo cautioned that while he and his colleagues havent solved the general problem of planetary stability, SPOCK does reliably identify fast instabilities in compact systems, which they argue are the most important in trying to do stability constrained characterization.

This new method will provide a clearer window into the orbital architectures of planetary systems beyond our own, Tamayo said.

In the past 25 years, astronomers have found more than 4,000 planets orbiting other stars, of which almost half are in multi-planet systems. But since small exoplanets are extremely challenging to detect, we still have an incomplete picture of their orbital configurations.

"More than 700 stars are now known to have two or more planets orbiting around them, said Professor Michael Strauss, chair of Princetons Department of Astrophysical Sciences. Dan and his colleagues have found a fundamentally new way to explore the dynamics of these multi-planet systems, speeding up the computer time needed to make models by factors of 100,000. With this, we can hope to understand in detail the full range of solar system architectures that nature allows.

SPOCK is especially helpful for making sense of some of the faint, far-distant planetary systems recently spotted by the Kepler telescope, said Jessie Christiansen, an astrophysicist with the NASA Exoplanet Archive who was not involved in this research. Its hard to constrain their properties with our current instruments, she said. Are they rocky planets, ice giants, or gas giants? Or something new? This new tool will allow us to rule out potential planet compositions and configurations that would be dynamically unstable and it lets us do it more precisely and on a substantially larger scale than was previously available.

Predicting the long-term stability of compact multi-planet systems by Daniel Tamayo, Miles Cranmer, Samuel Hadden, Hanno Rein, Peter Battaglia, Alysa Obertas, Philip J. Armitage, Shirley Ho, David Spergel, Christian Gilbertson, Naireen Hussain, Ari Silburt, Daniel Jontof-Hutter and Kristen Menou, appears in the current issue of the Proceedings of the National Academy of Sciences (DOI: 10.1073/pnas.2001258117).Tamayos research was supported by the NASA Hubble Fellowship (grant HST-HF2-51423.001-A) awarded by the Space Telescope Science Institute.

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Artificial intelligence predicts which planetary systems will survive - Princeton University

Global Automotive Artificial Intelligence Market and Forecast Analyzed in a New Research Report 2020 to 2026 – 3rd Watch News

The New Report Titled as Automotive Artificial Intelligence Market published by Global Marketers, covers the market landscape and its evolution predictions during the forecast period. The report objectives to provide an overview of global Automotive Artificial Intelligence Market with detailed market segmentation by solution, security type, application and geography. The Automotive Artificial Intelligence Market is anticipated to eyewitness high growth during the forecast period. The report delivers key statistics on the market status of the leading market players and deals key trends and opportunities in the market.

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This research report also includes profiles of major companies operating in the global market. Some of the prominent players operating in the Global Automotive Artificial Intelligence Market are:

Hyundai Motor CompanyInternational Business Machines CorporationUber TechnologiesBayerische Motoren Werke AGTeslaDaimler AGHarman International IndustriesFord Motor CompanyToyota Motor CorporationVolvo Car CorporationMicrosoft CorporationStart-Up EcosystemDidi ChuxingAlphabetAudi AGGeneral Motors CompanyIntel CorporationHonda MotorXilinxQualcomm

The Automotive Artificial Intelligence Market for the regions covers North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Regional breakdown has been done based on the current and forthcoming trends in the global Automotive Artificial Intelligence Market along with the discrete application segment across all the projecting region.

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The Type Coverage in the Market are:

HumanMachine InterfaceSemi-autonomous DrivingAutonomous Driving

Market Segment by Applications, covers:

Deep LearningMachine LearningContext AwarenessComputer VisionNatural Language Processing

Some Major TOC Points:

Chapter 1. Automotive Artificial Intelligence Market Report Overview

Chapter 2. Global Automotive Artificial Intelligence Market Growth Trends

Chapter 3. Market Share by Key Players

Chapter 4. Automotive Artificial Intelligence Market Breakdown Data by Type and Application

Chapter 5. Market by End Users/Application

Chapter 6. COVID-19 Outbreak: Automotive Artificial Intelligence Industry Impact

Chapter 7. Opportunity Analysis in Covid-19 Crisis

Chapter 9. Market Driving Force

Continue for TOC

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Key questions Answered in this Automotive Artificial Intelligence Market Report:

What will be the Automotive Artificial Intelligence Market growth rate and value in 2020?

What are the key market predictions?

What is the major factors of driving this sector?

What are the situations to market growth?

Major factors covered in the report:

Global Automotive Artificial Intelligence Market summary

Economic Impact on the Industry

Automotive Artificial Intelligence Market Competition in terms of Manufacturers

Automotive Artificial Intelligence Market Analysis by Application

Marketing Strategy comprehension, Distributors and Traders

Study on Market Research Factors

Table of Content & Report Detail @ https://www.globalmarketers.biz/report/consumer-goods-and-services/global-automotive-artificial-intelligence-market-report-2020-by-key-players,-types,-applications,-countries,-market-size,-forecast-to-2026-(based-on-2020-covid-19-worldwide-spread)/156880#table_of_contents

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Global Automotive Artificial Intelligence Market and Forecast Analyzed in a New Research Report 2020 to 2026 - 3rd Watch News

Artificial Intelligence in Security Market 2020 Break Down by Top Companies, Applications, Challenges, Opportunities and Forecast 2024 – Jewish Life…

Latest added Global Artificial Intelligence in Security Market research study by AMA Research offers detailed outlook and elaborates market review till 2024. The market Study is segmented by key regions that are accelerating the marketization. At present, the market players are strategizing and overcoming challenges of current scenario; some of the key players in the study are Acalvio (United States), Amazon (United States), Cylance (United States), NVIDIA (United States), Intel (United States), IBM (United States), Micron (United States), SparkCognition (United States), Securonix (United States) and ThreatMetrix (United States) etc. The study explored is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

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The latest edition of this report you will be entitled to receive additional chapter / commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry. Further it will also provide qualitative information about when industry could come back on track and what possible measures industry players are taking to deal with current situation. Each of the segment analysis table for forecast period also high % impact on growth.

Artificial Intelligence in the security market is expected to grow significantly owing to the increasing number of connected devices and the rising number of mobile malware attacks. High Usage of Internet and requirement to work online are contributing to rising in incidents of cyber-attacks as more than the number of computing devices and are being connected to the Internet of Things. Shortage of cybersecurity professionals is one of the major factor driving the demand for AI-based security solutions. Using AI-based solutions for cybersecurity covers much of the need for cybersecurity professionals. Growing adoption of the cloud-based application has given an opportunity to AI in the security market to rise in the forecasted period.

This research is categorized differently considering the various aspects of this market. It also evaluates the upcoming situation by considering project pipelines of company, long term agreements to derive growth estimates. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Artificial Intelligence in Security Market research report include SWOT analysis.

The Global Artificial Intelligence in Security segments and Market Data Break Down are illuminated below:Study by Security Type (Network Security, Endpoint Security, Application Security, Cloud Security), Security Solution (Identity and Access Management (IAM), Risk and Compliance Management, Encryption, Data Loss Prevention (DLP), Unified Threat Management (UTM), Antivirus/Antimalware, Intrusion Detection/Prevention System (IDS/IPS), Others (Firewall, Security and Vulnerability Management, Disaster Recovery, DDOS Mitigation, Web Filtering, Application Whitelisting, and Patch Management)), Technology (Machine Learning, Context Awareness Computing, Natural Language Processing), End users (Government & Defense, BFSI, Enterprise, Infrastructure, Automotive & Transportation, Healthcare, Retail, Manufacturing, Others (Oil & Gas, Education, Energy)), Development (Cloud Deployment, On-Premise Deployment), Offering (Hardware, Software, Services)

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Market Drivers

Market Trend

Restraints

Opportunities

The regional analysis of Global Artificial Intelligence in Security Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2020-2024.

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Strategic Points Covered in Table of Content of Global Artificial Intelligence in Security Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Security market

Chapter 2: Exclusive Summary the basic information of the Artificial Intelligence in Security Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence in Security

Chapter 4: Presenting the Artificial Intelligence in Security Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region 2014-2019

Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Security market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Artificial Intelligence in Security Market is a valuable source of guidance for individuals and companies.

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About Author:Advance Market Analytics is Global leaders of Market Research Industry provides the quantified B2B research to Fortune 500 companies on high growth emerging opportunities which will impact more than 80% of worldwide companies revenues.Our Analyst is tracking high growth study with detailed statistical and in-depth analysis of market trends & dynamics that provide a complete overview of the industry. We follow an extensive research methodology coupled with critical insights related industry factors and market forces to generate the best value for our clients. We Provides reliable primary and secondary data sources, our analysts and consultants derive informative and usable data suited for our clients business needs. The research study enable clients to meet varied market objectives a from global footprint expansion to supply chain optimization and from competitor profiling to M&As.

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Artificial Intelligence in Security Market 2020 Break Down by Top Companies, Applications, Challenges, Opportunities and Forecast 2024 - Jewish Life...

What’s driving the Artificial intelligence in healthcare Market Growth? See with Prominent Players and High CAGR rate – 3rd Watch News

According to a report published by Healthcare Intelligence Markets, titled Artificial intelligence in healthcare Size, Share & Industry Analysis, By Component (Hardware, Software, Content), By Application (Product Design and Development, Safety and Training, Maintenance and Repair, and Communication & Collaboration), and Regional Forecast, 2019-2026, Virtual reality is one such concept that has helped overcome several downfalls that were initially present in the manufacturing industry. The use of Artificial intelligence in healthcare performing repetitive tasks that initially required continuous manual labour has stood out among all.

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Key Market Players are:

IBM, NEC, Nuance, Microsoft Corp. , Ipsoft , Rocket Fuel Inc.

The worldwide geological [Latin America, North America, Asia Pacific, Middle & East Africa, and Europe] analysis of the Artificial intelligence in healthcare Market plan has furthermore been done cautiously in this report. The dynamic establishment of the overall Artificial intelligence in healthcare Market depends on the assessment of item circulated in various markets, limitations, general benefits made by every association, and future aspirations. The major application areas of Artificial intelligence in healthcare Market are also covered on the basis of their implementation. The report gives the ideology about different factors and inclinations affecting the development course of the worldwide Artificial intelligence in healthcare Market. A review of the impact of the administrative regulations and policies on the Artificial intelligence in healthcare Market operations is also included in this report. The Artificial intelligence in healthcare Market report offers a complete analysis of competitive dynamics that are modifying and places the patrons ahead of competitors.

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What's driving the Artificial intelligence in healthcare Market Growth? See with Prominent Players and High CAGR rate - 3rd Watch News

Artificial Intelligence in Marketing Market 2020: Key Players With Product Particulars, Applications, Market Size & Forecast Till 2026 – Jewish…

The recent research report titled Global Artificial Intelligence in Marketing Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread) has been added in the kandjmarketresearch.com database. The Global Artificial Intelligence in Marketing Market Perspective, Comprehensive Analysis along with Major Segments and Forecast, 2020-2026.

Artificial Intelligence in Marketing Market Overview

The global Artificial Intelligence in Marketing market has been studied by a set of researchers for a defined forecast period of 2020 to 2026. This study has provided insights to the stakeholders in the market landscape. It includes an in-depth analysis of various aspects of the market. These aspects include an overview section, with market segmentation, regional analysis, and competitive outlook of the global Artificial Intelligence in Marketing industry for the forecast period. All these sections of the report have been analyzed in detail to arrive at accurate and credible conclusion of the future trajectory. This also includes an overview section that mentions the definition, classification, and primary applications of the product/service to provide larger context to the audience to this report.

Artificial Intelligence in Marketing Market Dynamics

The report on the global Artificial Intelligence in Marketing market includes a section that discusses various market dynamics that provide higher insight in the relationship and the impact of change these dynamics hold on the market functioning. These dynamics include the factors that are providing impetus to the market over the forthcoming years for growth and expansion. Alternatively, it also includes factors that are poised to challenge the market growth over the forecast period. These factors are expected to reveal certain hidden trends that aid in the better understanding of the market over the forecast period. continue reading this report.

The Final Report Will Include the Impact of COVID -19 Analysis about the Artificial Intelligence in Marketing Industry.

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COVID-19 can affect the global market in 3 ways: by directly affecting the production and demand, by creating supply chain and market disturbance, and by its financial impact on enterprises and financial markets.

Key Players

The global Artificial Intelligence in Marketing market report has provided a profiling of significant players that are impacting the trajectory of the market with their strategies for expansion and retaining of market share.

Key Segments Studied in the Global Artificial Intelligence in Marketing Market:

Key Players in the Global Artificial Intelligence in Marketing Market Covered In Chapter 4:

In Chapter 11 and 13.3, On The Basis Of Types, The Artificial Intelligence in Marketing Market From 2015 To 2026 Is primarily split into:-

In Chapter 12 and 13.4, On The Basis Of Applications, the Artificial Intelligence in Marketing Market From 2015 to 2026 covers:-

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Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:-

Market Segmentation

The global Artificial Intelligence in Marketing market has been studied for a detailed segmentation that is based on different aspects to provide insight into the functioning of the segmental market. This segmentation has enabled the researchers to study the relationship and impact of the growth chart witnessed by these singular segments on the comprehensive market growth rate. It has also enabled various stakeholders in the global Artificial Intelligence in Marketing market to gain insights and make accurate relevant decisions. A regional analysis of the market has been conducted that is studied for the segments of North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.

Research Methodology

The global Artificial Intelligence in Marketing market has been analyzed using Porters Five Force Model to gain precise insight in the true potential of the market growth. Further, a SWOT analysis of the market has aided in the revealing of different opportunities for expansion that are inculcated in the market environment.

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Artificial Intelligence in Marketing Market 2020: Key Players With Product Particulars, Applications, Market Size & Forecast Till 2026 - Jewish...

Commentary: Artificial intelligence and automation would actually benefit Singapore – CNA

SINGAPORE: Now that the General Election is over, it is time for Singapore to refocus on the big challenge of creating jobs to tide citizens over a pandemic and double down on digitalisation for the long term.

Much has been said about the concerns people have about livelihoods, with suggestions to safeguard and improve the prospects of jobs for Singaporeans.

Yet disruption is not new to Singapore. History has witnessed how Singapore has upskilled its workforce through computerisation and automation in the 1980s.

Singapore businesses and workers are no strangers to the need to adapt to new technological changes.

Now, Digital Ambassador Corps have been deployed to help small businesses and senior citizens learn and apply technology.

With every change comes hesitance, even resistance. In the push for a Smart Nation, this resistance may come from a fear of the unknown. Reports of artificial Intelligence (AI) and digital technologies cannibalising jobs do not help either.

However, Singapore is in a unique situation. With a small and ageing workforce, Singapore has to tap on AI and automation to preserve its competitive advantage over other economies.

A COUNTRY INCREASINGLY POWERED BY MORE ARTIFICIAL INTELLIGENCE

Digital technologies and AI (including machine learning, computer vision and natural language processing) can boost efficiencies, performance and productivity in various ways.

It is these advanced technologies that help e-commerce retailers like Lazada sell more by analysing massive amount of data, learning customer preferences and providing targeted products to be displayed online for the customers.

In engineering and aviation, AI has been used to increase the performance of gas turbine engines, such as finding an optimal way to increase thrust and decrease fuel consumptions.

In the long term, the savings on fuel could be passed to the passengers. Such performance improvements cannot usually be attained using traditional models.

In logistics in Singapore and around the world, AI has also been utilised to predict traffic patterns and route conditions. For companies like Grab, the use of AI has enabled drivers to complete as many jobs as possible in the shortest amount of time.

Grab also uses natural language processing methods to address customer feedback and enable users to find the services they need with greater ease.

AI is also extensively used in the development of autonomous vehicles like the National University of Singapore (NUS) autonomous shuttle at its Kent Ridge campus.

In healthcare, AI has been employed to optimise hospital management and processes like managing a large number of patient beds in the case of Tan Tock Seng Hospital. Predictive analytics can help optimise hospital bed assignment decisions by predicting when patients will be discharged to make more beds available.

AI will be an integral part of Singapores healthcare system to help doctors make better decisions and design early intervention programmes and improved care pathways for patients using predictive modelling.

One application of machine learning is precision medicine where AI can help predict what treatment protocols are most feasible and with higher success rate on a patient based on various patient characteristics and the treatment context.

Another example is robotic surgery (like the da Vinci Surgical System used in Gleneagles Hospital Singapore) which can help surgeons improve their ability to perform precise and minimally invasive incisions and surgeries. Important decisions are still made by human surgeons.

In educational applications and tools, AI has helped the development of skills and testing systems and allows the adjustment of learning based on differentiating students needs in Institutes of Higher Learning in Singapore.

Students can thus enjoy more customised testing and learning tailored to the specific needs and ability level of each student.

JOBS ARE CHANGING

In areas where AI and digital technologies improve businesses significantly, the nature of jobs has changed.

Certain jobs like routine clerical work may be reduced while the employment rates for professionals and those in the service sectors have increased. Understanding what tasks AI is suited or not suited for will be a business priority for firms. Singapores learning, retraining and upskilling efforts must take full advantage of the AI era.

Prior research has shown AI is suited to perform tasks that provide clear feedback with definable goals and metrics. AI is also efficient at recognising associations based on empirical and statistical data.

AI can help improve traffic volume and flow in metropolitan areas like Singapore, New York or London using pre-defined performance and congestion measures at the system level by analysing large amounts of traffic data.

On the other hand, AI is not so good at unstructured tasks and reasoning, especially based on background information that is previously unknown to the computer.

This is why AI (or machine learning) can be used to spot irregular heartbeat from scans and detect diseases from medical imaging, but it cannot explain as well as doctors how and why one is diagnosed with a certain disease.

In other words, the interpretation of the causes and severity of these diseases and their linkages to other diseases are much more difficult for AI to ascertain. AI also does not perform well when the tasks to be learned change quickly.

Humans do much better at interpreting data and drawing inferences even when the tasks evolve over time.

YOUR JOB MAY REMAIN BUT SOME TASKS COULD BE OUTSOURCED TO AI

In light of the above understanding, how we should we adjust, retrain or upskill the valuable human resource we have in Singapore to prepare for the new paradigm involving AI and digital technologies?

We understand that most jobs have many interrelated tasks. People say the jobs AI could likely replace include telemarketing, receptionists, computer support specialists (think chatbots used by banks like OCBC) and market research analysts.

However, it doesnt mean these jobs will disappear entirely. AI is weak on relatively unstructured, creative tasks and those involving emotional intelligence.

The focus of the training or upskilling of such roles should be on these areas. Upskilling courses can cover developing strategies in branding, designing and marketing.

Use AI to gather your data, but use humans to develop business and innovation strategies and design marketing campaigns based on understanding those data.

People and leadership skills will continue to be important, yet another area that AI currently does not fill the void. The expertise in asking interesting questions and looking for new and innovative solutions, which is required in researchers or entrepreneurs, will also be deemed more valuable.

The age of AI and digital technologies is already here. It is clear they can and probably should be applied to different industries and have the potential to significantly improve productivity.

In the process, they will transform our work and lives. While some jobs may be replaced, many other job and career opportunities will be created.

Singapore has the infrastructure, talents and resources to take advantage of the benefits brought about by the AI revolution.

With national emphasis on innovation and Industry 4.0, as well as additional resources and upskilling opportunities, this could yet be another pivotal point for Singapore to create and deliver value in a competitive global arena.

DrKenneth GHuang is an Associate Professor with the Department of Strategy & Policy at National University of Singapore (NUS) Business School and the Department of Industrial Systems Engineering & Management at NUS. The opinions expressed are those of the writer and do not represent the views and opinions of NUS.

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Commentary: Artificial intelligence and automation would actually benefit Singapore - CNA

Afraid Outraged Fake News Could Be the Culprit / Public News – Public News Service

"Fake news" is defined as fabricated information that mimics news media content in form but not in journalistic organizational process or intent. (Wokandapix/Pixabay)

SANTA FE -- With the presidential election approaching, there's renewed concern that consumers again will fall prey to "fake news" on social media. But one expert on the topic says there's a way to arm yourself against the onslaught.

Nolan Higdon is a professor of history and communication at California State University and a contributor to Project Censored. He said the role of news media in a free society is to investigate, inform and provide a crucial check on political power.

He noted the coronavirus pandemic has been the subject of a great deal of "fake news" that often exploits people's fears and moral outrage.

"Generally, it preys on real anxieties - that's really the most successful fake news," Higdon said. "And who doesn't have anxiety during a pandemic, especially one where you see unemployment hitting 30%."

Higdon said he believes President Donald Trump's repeated claims of "fake news" and framing of the media as the "enemy of the people" have made a bad scenario worse.

Some communication watchdogs have called on tech giants to crack down on fake news and institute a code to address misinformation. Higdon said he believes, however, that consumers need to be more savvy.

"We really need to focus on giving the individual media literacy skills - that is, how can they sift through information and figure out what's true and what's false instead of the approach where I think we're going, which is we're creating lists and we're having corporations and governments determine what is true and what's false," he said.

Higdon said he also worries that media giants such as Facebook, Google and other large corporations have significantly increased their presence in public schools in the past 20 years as a way to get their content into the classroom.

"If we can give a bunch of slick textbooks and MacBooks and things like that to a school, it will look like charity to the public," he said. "But really, it's getting access to all the data for all the children who are enrolled in public schooling in a particular state, nation or region."

According to new research published in the journal Psychological Science, consumers are not incapable of distinguishing between what is true and what is false, but often share misinformation because accuracy is not a benchmark used when deciding what to share.

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Afraid Outraged Fake News Could Be the Culprit / Public News - Public News Service

Facts or fake news: Revealing patterns in the COVID-19 tweets of Trudeau and Trump – The Conversation CA

From its ostensible origins in Wuhan, China, in late 2019, COVID-19 has spread across the globe. There are now a staggering 11.5 million cases worldwide, resulting in over half a million deaths. March saw the pandemics beginnings in Canada and the United States, followed by widespread lockdowns meant to slow the progression of the virus.

While the number of new daily cases in Canada is declining, U.S. cases have reached record highs. The U.S. represents four per cent of the worlds population, but accounts for one-quarter of COVID-19 cases and deaths. As of July 8, 2020, there were 9,051 cases per million people in the U.S. compared to 2,812 cases per million in Canada. These statistics point to a substantial difference in community spread in the two countries.

Twitter provides an online record of political leaders policies and personal sentiments. Both Canadian Prime Minister Justin Trudeau and U.S. President Donald Trump often tweet to large numbers of followers. The @realDonaldTrump Twitter account has 82.7 million followers with more than 20,000 tweets during Trumps presidency. The account @JustinTrudeau has five million followers and has tweeted 18,000 times since Trudeau became prime minister.

Theres a significant difference in how the two leaders have talked about this virus on Twitter. One has focused more on politics, while the other has focused on policy and public health.

We conducted a quantitative analysis of themes emerging in Trudeaus and Trumps tweets during the COVID-19 pandemic. Our study used network science, which considers systems and their interactions. We formed what are called co-occurrence networks based on keywords taken from tweets, with two keywords linked if they appear in the same tweet. For example, if the keywords covid19 and pandemic appear in the same tweet, then they were linked. The monthly top 100 keywords from @JustinTrudeau and @realDonaldTrump were extracted based on their frequency.

To simplify the networks, we removed retweets and common stop words such as the and at. We created visualizations of the networks to group the keywords into thematically related clusters or communities. We find a higher proportion of links inside communities and a sparser set of links between them.

The algorithm extracted the communities in the keywords. Keywords and links were scaled up or down in size depending on their frequency. Communities of keywords were assigned colours such as blue, green and orange, and more correlated keywords were located closer together in the network.

Looking back at the first two months of 2020, Trudeaus and Trumps tweets were unrelated to COVID-19. Trudeau focused on the shooting down of the passenger plane in Iran that had 57 Canadian citizens on board, followed by protests for the Wetsuweten First Nation. Trump focused on his impeachment trial and endorsing candidates in Republican congressional primaries.

In March, the federal governments response to COVID-19 dominated Trudeaus Twitter keywords. In contrast, other topics competed for prevalence in Trumps tweets. These included tweets about fake news (closely situated to coronavirus in the keyword network) and perceived unfairness from the Democrats.

Claims of fake news coverage of the severity of the pandemic dominated Trumps April tweets. Trudeaus tweets centred on topics such as wage subsidies and appreciation for front-line workers.

In May and June, keywords from Trumps tweets revolved around Obamagate, Republican endorsements and transit funding.

Trudeaus keyword networks for both months were in stark contrast to Trumps, with keywords related to the virus remaining prevalent.

The keyword networks from March to June point to divergent messaging on the pandemic by the two leaders, as reflected in their tweets. While both leaders focused on COVID-19 in their March tweets, Trump did increasingly less so over the coming months. His reference to the virus was often through a political lens, with keywords related to the media or Democratic rivals.

For each month we considered, the keywords fell into a small collection of communities, ranging from three to five. These observations are consistent with an earlier analysis of Trumps tweets around his election.

Trump famously made comments downplaying the pandemic in its early days, and made subsequent statements referencing progress controlling the pandemic, despite a record number of new cases. The early reopening of U.S. states may have been a possible cause for increased cases.

In contrast, Trudeau has stayed consistent in his daily briefings and tweets since lockdowns began in March, highlighting economic recovery programs and providing public health-care information.

Interestingly, Trudeaus minority government has been enjoying a surge in popularity, while polls suggest rising disapproval of the Trump administrations handling of the pandemic.

As the COVID-19 becomes part of the new normal, there is greater public awareness of the effectiveness of lockdowns and actions needed to curb the spread of the virus such as social distancing, hand-washing, and wearing masks. However, not everyone is willing to comply.

Our network analysis suggests that consistent social media messaging by federal leadership may play a role in influencing views of the pandemic and efforts to contain it. We hope that political leaders with large platforms will use them to amplify the advice of medical professionals and help slow the spread of the virus.

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Facts or fake news: Revealing patterns in the COVID-19 tweets of Trudeau and Trump - The Conversation CA

Covid-19 misinformation is everywhere, but it could have been much worse – CNBC

Covid-19 has taken over our lives, but it hasn't been around for very long. Scientists have been studying it in real-time as the world collectively goes through a traumatic, world-changing event. It's killed more than half a million peopleand we don't even know exactly where it came from.

Which, on the face of it, isn't very reassuring. As a result, conspiracy theories have spread alongside the virus. And for companies like Google, Facebook, and Twitter, longstanding questions about how they should handle misinformation on their platforms have never been more relevant.

Especially because social media seems to be actively making things worse. "The more you rely on social media for your news, the more likely you are to be prone to this dynamic where you're not only failing to identify fake news as fake, but factual information as true," explained Cornell professor government Sarah Kreps.

How to best fight misinformation is complicated, messy, and deeply intertwined with politics and cultural values.

In April, 47% of Republicans believed that the coronavirus has been made a bigger deal than it really is. By June that had grown to 63%. Among Democrats, it went from 14 to 18%.

In a recent Cornell study co-authored by Sarah Kreps and now in preprint, Democrats were consistently more likely to correctly identify a Covid-related headline as true or false than were independents or Republicans. But on average, Republicans and Democrats hold similar levels of science knowledge.

So why is this happening? Watch the video to find out moreand what companies are doing about it.

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Covid-19 misinformation is everywhere, but it could have been much worse - CNBC

Project Origin is watermarking media to fight fake news ahead of the election – Axios

An international coalition of news and tech companies, including the AP, The Washington Post, Facebook and others, is partnering with a different coalition led by the BBC, CBC/Radio-Canada, Microsoft and The New York Times called Project Origin to fight fake news during the U.S. election.

How it works: The project aims to place digital watermarks on media originating from authentic content creators. The watermark will degrade when content has been manipulated. The verification system will be deployed in the month leading up to the U.S. election.

The big picture: There are several initiatives that have simultaneously launched in the past two years that aim to place digital watermarks or labels on news stories to verify their authenticity. To name a few:

Our thought bubble: With separate groups trying simultaneously to solve the same problem using similar labeling and watermarking tactics, it's hard to keep track of what's working and what various news partners should be implementing.

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Project Origin is watermarking media to fight fake news ahead of the election - Axios

Khabib has not retired, will face Gaethje ‘before the end of the year’ – Yahoo Sports

Khabib Nurmagomedov will return to the Octagon and face Justin Gaethje before the end of the year, according to his manager Ali Abdelaziz.

Abdelaziz last week refuted reports UFC lightweight champion Khabib was going to retire following the death of his father and coach Abdulmanap Nurmagomedov.

The undefeated Russian was due to defend his belt against Tony Ferguson at UFC 249, but travel restrictions resulting from the coronavirus pandemic meant the fight was scratched.

The event was rescheduled and Gaethje, who stepped in for Khabib, defeated Ferguson for the interim title, but he is yet to have his bout with the championconfirmed as a September date becomes increasingly unlikely.

Asked about the rumours surrounding Khabib's future, Abdelaziz told TMZ Sports: "Khabib is not retiring. He has some goals to accomplish. You will see him before the end of the year.

"Him, Dana [White, UFC president] and I are talking to the match-makers and we're trying to set a date. I'm sure Dana's gonna let everyone know when Khabib's going to fight.

"We have a blockbuster main event, him versus Justin Gaethje. Two of the best lightweights in the world in the recent era.

"We've seen what Khabib does to all his opponents, we've seen what Justin Gaethje did to his last opponent. He dismantled Tony Ferguson, he made him look an absolute amateur. They're the best two guys in the world and they're gonna fight.

"There's a lot of fake news that comes out of Russia. Like Donald Trump says, fake news. If you don't hear it from me, Khabib or from Dana, it's fake news."

He added: "Khabib is a different breed. Of course, he's heartbroken. It's his father, his mentor, his best friend. But at the end of the day, Khabib's father has a legacy he wanted Khabib to accomplish.

"And Khabib is a living legend. And that's what legend comes from. Legend comes from adversity, from death, from a lot of things, and that's what Khabib does. He's come back from a back surgery, from ACL surgery, from the death of his father, and he's gonna fight Justin Gaethje. They're gonna put on a great display of martial arts."

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Khabib has not retired, will face Gaethje 'before the end of the year' - Yahoo Sports

Prathap NM, hailed as ‘drone scientist’, passes off German and Japanese drones as his own – Alt News

A young man from Karnataka Prathap NM was hailed in Kannada media as drone Prathap for claiming to have extraordinary achievements. A few English websites like Deccan Herald and India Times have also penned articles on Prathap which are essentially a list of his achievements. Among the never heard of awards and accolades that feature in these reports is another accomplishment 600 drones built at the age of 22. However, quite ironically, there are no videos or pictures of Prathap actually building any such drones.

In a recent article, Alt News had debunked rumours claiming that Prime Minister Modi inducted the young man into the Defense Research and Development Organisation (DRDO).

After doubts were raised over his achievements, Prathap provided proof in a recent interview with Kannada channel Btv News Kannada. Upon being questioned by the anchor that he does not have pictures of self-made drones, Prathap took out his phone and showed a photograph to viewers where he is posing with a drone. This can be watched at around 33 minutes in the broadcast.

Bill Gutbier, owner of Germany-based BillzEye, issued a statement on his companys website that the drone flashed by Prathap was built by BillzEye and exhibited at CEBIT 2018, Hanover Exhibition Center.

The statement said that Prathap was curious about the drone and asked questions which Gutbier happily answered. Subsequently, Prathap requested if he could click a photograph of the drone BETH-01. All drones that were exhibited on the pedestals of my booth, especially the BETH-01 with Mr Prathap shown in the picture, are the property of BillzEye Multicoptersysteme. Mr Prathap has nothing to do with the design, development, manufacture or distribution of this drone. He is not an employee, cooperation partner or shareholder of BillzEye Multicoptersysteme. This drone, which is the focus of his photo, was specially designed, constructed and manufactured by Bill Gutbier. All of this can be demonstrated using many documents, CAD files and photos, wrote Gutbier.

CEBIT 2018 held in Germany is the same drone expo where Prathap claimed that he was awarded the Albert Einstein Innovation Gold Medal. But his picture with the drone he claims to have built was constructed by BillzEye. Furthermore, multiple Google search attempts with different keywords do not throw up any Albert Einstein award or gold medal. The results ironically only show reports of Prathap receiving the award. The Better India had published an article on Prathap earlier in January where the award was mentioned. The website has now taken down its report clarifying, among other things, After the publication of the article, the organisers of the events in Germany responded to our second round of queries stating they did not host any such awards.

This wasnt the only time Prathap posed with a drone that he portrayed was his innovation. Another photograph was widespread on the internet and also shared by Prathap on his Instagram account. The same image was carried by The New Indian Expresss Edexlive.

If one notices carefully, the drone carries the logo of Japan-based ACSL.

Earlier in February, a Reddit user claimed that he wrote to the COO of ACSL to inquire about Prathap and the company said that they do not recognise anybody by that name. The user attached a screenshot of ACSL COO Satoshi Washiyas response according to which the drone in the image is ACSL PF-1 and it was completely built in-house.

Prathap NM, therefore, claims to have built 600 drones but has not been able to produce any visuals of his creations. In fact, he has misrepresented drones of other companies as his own. Alt News tried contacting Prathap for a comment but he is yet to respond. This whole episode of a Karnataka resident portraying himself as one of the youngest drone scientists India has ever produced also points to the gullibility of the media. Based on just his word, he was made out to be a prodigy who is making the country proud across the world.

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Prathap NM, hailed as 'drone scientist', passes off German and Japanese drones as his own - Alt News

Births – July 19 – News from southeastern Connecticut – theday.com

L+M Hospital

JUNE 17 - A daughter to Brian and Emily Austin of North Stonington; a son to Shaina Noyes of Niantic; a son to David Aponte and Candice Stamm of New London.

JUNE 18 - A daughter to Christopher Reynolds Jr. and Nikia Bibeau of Baltic; a son to Benjamin and Sarah Hansen of Ledyard; a son to Jonnathan Morocho and Jessica Juarez of New London; a daughter to Anthony and Ashley Reyes of Groton; a daughter to Joseph and Erica McCarthy of New London; a daughter to Jeffrey and Laura Opila of North Stonington.

JUNE 19 - A son to Andrew and Chelsea Wydler of Mystic.

JUNE 20 - A son to Joshua and Heidi Byrne of Stonington; a son to Joseph and Kasey Giancaspro of Ledyard; a son to Robert and Melissa Paul of Groton; a daughter to Cam'Ron and Ronisha Tolliver of New London.

JUNE 22 - A daughter to Frank Almonte and Lissette Guzman of Groton; a son to Eric and Cassie Shewbridge of Waterford.

JUNE 23 - A son to Alex and Gabrielle Day of Groton; a son to Juan Silva and Zaidamary Lucena-Martinez of New London.

JUNE 24 - A son to Jacob Hildebrand and Paige LaFlamme of Norwich; a daughter to Mary Land of Groton.

JUNE 25 - A son to Andrew Blacker and Kerri Croteau of Groton; a son to Justin and Samantha Ludka of Groton.

JUNE 26 - A daughter to Keith and Kelsey Gomes of Oakdale; a son to Bryan and Cassandra Grote of Waterford; a daughter to Ramon Sanchez Jimenez and Nairoby Ovalle de Sanchez of New London; a daughter to Admilson Gomes and Stephanie Sagen of Groton.

JUNE 27 - A daughter to Michael and Katelyn Johnson of Groton; a son to Marcus and Anastacia Knight of Gales Ferry.

JUNE 29 - A daughter to Omar Diaz and Liandra Hodge-Diaz of New London; a son toJeffrey and Tabatha Silva of Plainfield; a daughter to Siddharth Sharma and Puja Singh of Groton.

JULY 1 - A daughter to Victor Sanieljimenez and Yesenia Avila of Groton; a daughter to Victoria Marcum of East Lyme; a daughter to Matthew and Kayla Orowson of East Lyme; a son to Denys Lopez and Merlin Pavon of New London.

JULY 2 - A daughter to John and Sarah Boozam of Westerly; a son to Thomas and Caryn Dittmeier of Old Lyme; a daughter to Joseph and Jennifer Malerba of Old Lyme; a daughter to Zachary Dawson and Nicole Riske of Pawcatuck.

JULY 3 - A son to Casey Raffield and Kassia Olszewski of Ledyard.

JULY 4 - A daughter to Ryan and Brittany Kahl of East Lyme; a daughter to Joshua and Ashley Katt of Groton.

JULY 5 - A son to Robert Gosselin III and Christine Santos of Groton; a son to Andres Rojas Mendieta and Viviana Romero Corte of New London; a daughter to Chavon Sheppard and Nicole Kelly of Westerly.

Backus Hospital

JULY 5 - A son to Juan Chach Tojand Lorena Mayic Moreno of Willimantic; a daughter to Naoym Nationand Melanie Cataldo of Norwich.

JULY 6 - A son to Zacharyand Kellie Semmelrock of Bozrah; a daughter to Carlos Nunez Avilaand Benedicta Palomino of Norwich.

JULY 7 - A daughter to Joshua McDadeand Carlie Bemis of Uncasville; a son to Vincentand Amy Pontarelli of Dayville.

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Births - July 19 - News from southeastern Connecticut - theday.com

North Iowa Celebrations: Anniversaries, weddings, birthdays and more for July 19 – Mason City Globe Gazette

Thank you St. Expedite for helping with my mom's health scare. RP

Prayer to Saint Expedite for Urgent Need

Prayer to Saint Expeditefor Urgent Need

Our dear martyr and protector, Saint Expediter,

you who know what is necessary and

I beg you to intercede before the Holy Trinity,

that by your grace my request will be granted.

(Clearly express what you want,

and ask him to find a way to get it to you.)

May I receive your blessings and favors.

In the name of our Lord Jesus Christ. Amen

If Saint Expedite grants your request,

place an ad in the newspaper thanking Saint Expedite,

so that his name and fame will grow.

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North Iowa Celebrations: Anniversaries, weddings, birthdays and more for July 19 - Mason City Globe Gazette

Local golf results, July 18, 2020 | Results – The Grand Junction Daily Sentinel

Hole in One

Maggie Mills, July 13 at Adobe Creek National Golf Course. Mesa No. 6, a 124-yard par-3 with an 8-iron. Witness: Linda Elmer.

Chipeta Mens League

First Flight Gross 1. Marshal Way 33; 2. (tie) Tim Stern, Paul Keddy 36.

First Flight Net 1. Ken Buterbaugh 29; 2. Pepe Flores 30; 3. Gary Baker 31.

Second Flight Gross 1. Bob Hilgenfeld 35; 2. (tie) Don Iles#, Chad Beldon 40.

Second Flight Net 1. John Crawford 30; 2. Don Iles# 30; 3. David Eller 31*.

First Flight Gross 1. Mike Andrews 31; 2. (tie) Gary Zolnosky, Pepe Flores 32.

First Flight Net 1. Rob Vavak 28; 2. Andy Busch 29; 3. Trent Steves 30.

Second Flight Gross 1. Bob Hilgenfeld 34; 2. (tie) Chad Beldon, Mike Mallory 35.

Second Flight Net 1. Jerry Mariz 27; 2. Chris Brubaker 28; 3. Don Iles 29.

Closest to the pin: Don Iles (No. 3); Pete Steves (No. 6); Andy Busch (No. 15); Paul Keddy (No. 17)

#Player played and paid twice

Chipeta Ladies League

Gross 1. Christy Davidson 36; 2. Linda Heath 37; 3. Brigid Maltsberger 41.

Net 1. Kari Greenlee 26; 2. Sandy Brubaker 29; 3. Ann Thomas 30*.

Closest to the pin: Melanie Kallemeyn (No. 10); Bonnie Kellerby (No. 15); Elaine Schramm (No. 17)

Adobe Creek Couples League

1. (tie) Tim Bevan/Deb Kirsch (Nos. 4, 5); James Danner/Kym Bevan (Nos. 6, 8); 2. (tie) Steve Slipka/Jan Jackson (No. 1); Rich Elliott/Michelle Tanner (No. 2); Larry Mallett/Nancy Slipka (No. 3); Dave Kirsch/Mae Mallett (No. 7).

Redlands Mesa Womens League

Second Chance Low Gross/Net

First Flight Gross 1. Deb Leany 75; 2. Liz Kennedy 78.

First Flight Net 1. Julia Conrad 66; 2. Cheryl Bullinger 67.

Second Flight Gross 1. Bonnie Bradley 92; 2. Frances Baer 93.

Second Flight Net 1. Lori Curtis 67; 2. Christina Bybee 73.

Firs Flight Gross 1. (tie) Liz Kennedy, Deb Leany 36.

First Flight Net 1. (tie) Cheryl Bullinger, Julia Conrad, MJ Lerch 32.

Second Flight Gross 1. Bonnie Bradley 42; 2. (tie) Patte Moore, Lynette Randleman 44.

Second Flight Net 1. Kay Campbell 30; 2. Christina Bybee 31.

Adobe Creek Senior Mens League

Gross Flight 1. Dean Moser 70; 2. (tie) Wes Lowe, Randy Cain, Larry Walker 75; 5. Roger Flinn 80.

Net A Flight 1. Jack Rich 67; 2. Larry Sherman 70; 3. Lou Bracket 71; 4. Blaik Copeland 73; 5. (tie) Bryan Cross, Mike Gregg, Bill Smith, Steve Urbach 75.

Net B Flight 1. Mike Hugentobler 68*; 2. (tie) Tom Holman, Tom Keenan, Ron Miller 68; 5. Denzil Snow 71.

Net C Flight 1. Fred Martinez 65; 2. (tie) Jerry Mariz, Ron Pinson 66; 4. Gailen Farney 69; 5. (tie) Paul Kuchyt, Joe Burns, Jim Eiisenhauer, Steve Sarber 71.

Closest to the pin: Craig Robillard (Desert No. 2); Dean Moser (Desert No. 5); Scott Christianson (Monument No. 2); Kent Henrie (Monument No. 6)

Kyms League

Two-Person Alternate Shot

Gross 1. Nate Cook/Zac McCullough 37; 2. Norma Vendegna/Eloy Vendegna 38; 3. Brent King/Jared Molzahn 44.

Net 1. Elaine Schramm/Syd Schramm 29; 2. (Tie) Kym Bevan/Tim Bevan, Jeff Murray/Allen Canetti, Sonia Butler/Lee Butler 34.

Closest to the pin: Eloy Vendegna (No. 7)

Longest putt: Nate Cook (No. 2)

Adobe Creek Mens League

Member/Guest Two-Man Scramble

First Flight Gross 1. (tie) Rex Clemons/Jeff Prall, Scott Angus/Matt Shaw 136.

First Flight Net 1. Kirk Hickey/Aaron Hansen 129; 2. David Witsken/Cody Cordova 131.

Second Flight Gross 1. Jerry Golden/Dean Robinson 137; 2. Matthew Kelly/Chris Chessani 145.

Second Flight Net 1. Tom Ferrans/Jared Ferrans 132. 2. Robert Murray/Jeff Asselin 133.

Tiara Rado Day Ladies League

First Flight Gross 1. Kelly Hall/Lucille Glynn 152; 2. Julia Conrad/Linda Barrett 164; 3. Rose Bunning/Tami Chamblee 167; 4. Jeanie Kruger/Lynette Randleman 175.

First Flight Net 1. Cheryl Bullinger/Margorie Genova 131; 2. Shirley Webb/Barb Vermedahl 134; 3. Terri Knode/Bobby Ordahl 136; 4. Kathy Short/Lynda Stahl 140.

Second Flight Gross 1. Kay Campbell/Margaret Patrias 180; 2. Joyce Stonehocker/Marsha Oliver 194; 3. Lorraine Willney/Ann Tregilgas 196.

Second Flight Net 1. Terri Martinez/Catherine Lucero 129; 2. Nancy Nolan/Katie Hill 137; 3. Patty Bradshaw/Joyce Taylor 143.

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Local golf results, July 18, 2020 | Results - The Grand Junction Daily Sentinel

Grayscale shifts DLC fund further to Bitcoin, Ethereum at the cost of XRP, BCH, LTC – Crypto News Flash

Following the release of its quarterly report, crypto asset management company Grayscale has published an update on the weighting of its Digital Large Cap Fund (DLC Fund). According to Grayscale, it will increase its exposure to Bitcoin (BTC) and Ethereum (ETH), but will reduce its allocation of XRP, Bitcoin Cash (BCH) and Litecoin (LTC).

According to Grayscale, the DLC is a passive fund based on strategic rules. Customers of the active crypto asset management company can use it to gain exposure to 70% of the crypto market segment. For this purpose, the DLC fund is composed of the 5 cryptocurrencies mentioned above. As announced via Twitter, Grayscale has decided not to add any new crypto assets after its last quarterly valuation.

As a result, Grayscale adjusted and increased its holdings of Bitcoin by 0.5% between March 31 and June 30, 2020, so that they now represent 81.5% of the DLC Fund. Regarding Ethereum, Grayscale increased its holdings by 2.1% and its share in the fund by 11.7%. The other cryptocurrencies saw their percentages fall.

Of all the cryptocurrencies, XRP recorded the largest decline, down 1.4%, with XRP now accounting for 3.6% of the fund. Bitcoin Cash lost 0.8% and Litecoin 0.6%. As can be seen below, these two cryptocurrencies represent 3.2% of the DLC.

Source: https://twitter.com/GrayscaleInvest/status/1280150389506146304/photo/1

Grayscale announced that its next quarterly evaluation will occur in September 2020. By that time it may adjust the DLC Fund again. The crypto asset management firm has $33 million in net assets under management (AUM) located in its Grayscale Digital Large Cap Fund.

In addition, Grayscale revealed that it has $4.1 billion in its total assets under management (AUM). Of the products offered by the crypto asset management firm, the Grayscale Bitcoin Trust (GBTC) remains the largest with $3,551.7 million. The Grayscale Ethereum Trust has a total of $410 million and, although smaller than the BTC-based fund, handles a larger amount than all the other products offered.

Source: https://twitter.com/GrayscaleInvest/status/1281689373394821121/photo/1

The asset management firm has been one of the most important participants of the crypto market in 2020 by bringing institutional investors into the market. Compared to this years AUM of $4.1 billion, Grayscales investment in cryptocurrencies during 2019 was $1.17 billion in AUM. This represents a 250% increase, and an investment that exceeds anything Grayscale has done in previous years in terms of crypto assets.

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Grayscale shifts DLC fund further to Bitcoin, Ethereum at the cost of XRP, BCH, LTC - Crypto News Flash

Litecoin (LTC) Plays Testbed for Bitcoin and Therefore it is Worth Hoarding – The Cryptocurrency Analytics

When it comes to identifying traders interest in a project, volume is one important thing to be looked in to. The overall volume which is being traded in several exchanges has been reportedly low for LTC. Despite several investors beginning to think that nothing is happening at Litecoin, long-term users have their own reason to hoard Litecoin (LTC).

Despite what the price charts have to say HODLers do not seem to show weakness of any kind. Some of the investors are strangely speculating partnerships between Cardano and Litecoin!

An alternate opinion from Sydney Ifergans tweet: Litecoin #HODLers have a reason to stay. They know being in the game for a long-term makes all the difference. The n number of possibilities which cannot be tried on the #Bitcoin Network can be tried in Litecoin.

Criticisms apart, Litecoin Foundation tweeted: CTV (CheckTemplateVerify) is a soft fork proposed by #Bitcoin developer Jeremy Lubin. #Litecoin is once again looking to prove that what is good for #LTC is good for #BTC Want to learn more about CTV & LTCs role as a test bed?

Jeremy Rubin have been developing a soft fork called CTV and he has been developing it for Bitcoin. Creating smarter custody solutions and supercharging lightning channels by routing limitless HTLCs without any kind of interactive set up are the notable use cases. Since, implementing new technology in to Bitcoin is not an easy task, Jeremy has been working to build consensus on to the technology and he hopes to prove the value of CTV by adding it to Litecoin.

Litecoin is very similar to Bitcoin in many ways; however, it is faster than BTC. And, not it is very obvious that Litecoin is serving to be a testbed for something that can be executed on Bitcoin.

Charlie Lee seemed to agree with the Hot potato view which read: I believe fiat currency is like a hot potato. We are all incentivized to spend, but not save. You have to invest and take risks to save for the future: a bug not a feature. The last one holding these currencies will always be burned. Check out my first article below!

The practical reality is that money should keep flowing. For as long as people accept it, it has value. When people stop accepting it, then it is worthless. Cryptocurrency which is backed by an active use case is worth holding long term. We need to look at how Litecoin has been consistent, long and strong for more than 11 years now. It is here to stay.

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Litecoin (LTC) Plays Testbed for Bitcoin and Therefore it is Worth Hoarding - The Cryptocurrency Analytics

Litecoin (LTC) Down $0.39 Over Past 4 Hours; Started Today Up 1.36% – CFDTrading

Litecoin 4 Hour Price Update

Updated July 19, 2020 03:18 PM GMT (11:18 AM EST)

Litecoin is down 0.31% ($0.13) since the previous 4 hours, marking the 2nd candle in a row a decline has happened. Those trading within the Top Cryptos asset class should know that Litecoin was the worst performer in the class during the previous 4 hours.

Litecoins 5 day negative streak has officially concluded, as the candle from the day prior closed up 1.36% ($0.57). The change in price came along side change in volume that was down 16.47% from previous day, but up 5.02% from the Saturday of last week. Out of the 5 instruments in the Top Cryptos asset class, Litecoin ended up ranking 2nd for the day in terms of price change relative to the day prior. Below is a daily price chart of Litecoin.

The first thing we should note is that Litecoin is now close to its 20, 50 and 100 day averages, located at 42.96, 44.02 and 44.01 respectively, and thus may be at a key juncture along those timeframes. For additional context, note that price has gone down 9 out of the past 14 days.

For laughs, fights, or genuinely useful information, lets see what the most popular tweets pertaining to Litecoin for the past day were:

The Litecoin community is strong, but there are a lot of haters that keep regurgitating the same ol ish, lack of development falseCharlie selling his coinsno pre mine no founders rewards, he can do what he wants Do us all a favor a call these lames out when ya see em #LTC

The first time I ever heard of Litecoin was from people talking crap about it somewhere on the internet. They mentioned Charlie Lee, I youtubed him, and he made perfect sense to me and so did Litecoin. So yes, in a sense, any publicity is good publicity..

I know a lot of you think that youre accumulating LINK at 8 dollars, but its my opinion that the top is in for a while. It reminds me of Litecoin at 160 a while back. Id tread carefully and look for less obvious plays.

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Litecoin (LTC) Down $0.39 Over Past 4 Hours; Started Today Up 1.36% - CFDTrading

NASA: How space agency was forced to admit ‘there is a possibility’ aliens are out there – Daily Express

Many conspiracy theorists are, however, certain alien life exists all throughout the Universe.

Some conspiracists will go as far as to claim NASA and the world's governments already know the answer to the question of are we alone in the universe.

In 2007, NASA was confronted by a person accusing NASA of ignoring the possibility intelligent life is not unique to Earth.

The person posted a question to NASA's Lunar Science Institute (NLSI), now the Solar System Exploration Research Virtual Institute (SSERVI).

READ MORE:NASA confusion over Moon landing footage 'Where did they land?'

"Perhaps what is confusing you is the concept of belief in intelligent life.

"Science is not a matter of belief, but of evidence.

"In everyday life all people hold 'beliefs', but this is not a good word to apply to our scientific understanding of nature."

Another person also asked the space agency: "Do you believe that aliens exist?"

Brad Bailey, an NLSI staff scientist, said: "I suppose Im curious as to your definition of 'aliens' and whether you include all life (as we know it) or just 'intelligent' life.

"But between research by SETI, analysis of Martian meteorites, recent findings of methane within the Mars atmosphere and other similar studies, there is no current evidence for life elsewhere, intelligent or otherwise.

"However: I, personally, remain optimistic and while 'believe' is a strong word, I feel as though Jodie Fosters character Ellie Arroway said it best in the movie Contact (1997) 'Ill tell you one thing about the universe, though. The universe is a pretty big place. Its bigger than anything anyone has ever dreamed of before. So if its just us seems like an awful waste of space.'"

Later this month NASA will launch its Mars 2020 Perseverance rover.

The primary goal of the mission is to collect and analyse samples of Martian life for signs of ancient life.

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NASA: How space agency was forced to admit 'there is a possibility' aliens are out there - Daily Express