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Children Learn to Share by Age 7 or 8

Title: Children Learn to Share by Age 7 or 8
Category: Health News
Created: 8/28/2008 12:00:00 AM
Last Editorial Review: 8/28/2008 12:00:00 AM




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You Can Learn While You Sleep, Study Suggests

Title: You Can Learn While You Sleep, Study Suggests
Category: Health News
Created: 8/27/2012 4:05:00 PM
Last Editorial Review: 8/28/2012 12:00:00 AM




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Pop Concert Held to Learn More About Coronavirus Spread

Title: Pop Concert Held to Learn More About Coronavirus Spread
Category: Health News
Created: 8/24/2020 12:00:00 AM
Last Editorial Review: 8/25/2020 12:00:00 AM




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Pandemic Learning Can Strain Children's Eyes

Title: Pandemic Learning Can Strain Children's Eyes
Category: Health News
Created: 8/27/2020 12:00:00 AM
Last Editorial Review: 8/28/2020 12:00:00 AM




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One Benefit of Online Learning: Better Sleep for Kids

Title: One Benefit of Online Learning: Better Sleep for Kids
Category: Health News
Created: 8/27/2021 12:00:00 AM
Last Editorial Review: 8/27/2021 12:00:00 AM




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A Review of Artificial Intelligence and Machine Learning in Product Life Cycle Management

The pursuit of harnessing data for knowledge creation has been an enduring quest, with the advent of machine learning (ML) and artificial intelligence (AI) marking significant milestones in this journey. ML, a subset of AI, emerged as the practice of employing mathematical models to enable computers to learn and improve autonomously based on their experiences. In the pharmaceutical and biopharmaceutical sectors, a significant portion of manufacturing data remains untapped or insufficient for practical use. Recognizing the potential advantages of leveraging the available data for process design and optimization, manufacturers face the daunting challenge of data utilization. Diverse proprietary data formats and parallel data generation systems compound the complexity. The transition to Pharma 4.0 necessitates a paradigm shift in data capture, storage, and accessibility for manufacturing and process operations. This paper highlights the pivotal role of AI in converting process data into actionable knowledge to support critical functions throughout the whole product life cycle. Furthermore, it underscores the importance of maintaining compliance with data integrity guidelines, as mandated by regulatory bodies globally. Embracing AI-driven transformations is a crucial step toward shaping the future of the pharmaceutical industry, ensuring its competitiveness and resilience in an evolving landscape.




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Decoding biology with massively parallel reporter assays and machine learning [Reviews]

Massively parallel reporter assays (MPRAs) are powerful tools for quantifying the impacts of sequence variation on gene expression. Reading out molecular phenotypes with sequencing enables interrogating the impact of sequence variation beyond genome scale. Machine learning models integrate and codify information learned from MPRAs and enable generalization by predicting sequences outside the training data set. Models can provide a quantitative understanding of cis-regulatory codes controlling gene expression, enable variant stratification, and guide the design of synthetic regulatory elements for applications from synthetic biology to mRNA and gene therapy. This review focuses on cis-regulatory MPRAs, particularly those that interrogate cotranscriptional and post-transcriptional processes: alternative splicing, cleavage and polyadenylation, translation, and mRNA decay.




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Dysregulating mTORC1-4E-BP2 signaling in GABAergic interneurons impairs hippocampus-dependent learning and memory [RESEARCH PAPERS]

Memory formation is contingent on molecular and structural changes in neurons in response to learning stimuli—a process known as neuronal plasticity. The initiation step of mRNA translation is a gatekeeper of long-term memory by controlling the production of plasticity-related proteins in the brain. The mechanistic target of rapamycin complex 1 (mTORC1) controls mRNA translation, mainly through phosphorylation of the eukaryotic initiation factor 4E (eIF4E)-binding proteins (4E-BPs) and ribosomal protein S6 kinases (S6Ks). mTORC1 signaling decreases throughout brain development, starting from the early postnatal period. Here, we discovered that in mice, the age-dependent decrease in mTORC1 signaling occurs selectively in excitatory but not inhibitory neurons. Using a gene conditional knockout (cKO) strategy, we demonstrate that either up- or downregulating the mTORC1-4E-BP2 axis in GAD65 inhibitory interneurons, but not excitatory neurons, results in long-term object recognition and object location memory deficits. Our data indicate that the mTORC1 pathway in inhibitory but not excitatory neurons plays a key role in memory formation.




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Learnings From an Innovative Model to Expand Access to a New and Underutilized Nonhormonal Contraceptive Diaphragm

ABSTRACTWe document the effort over the last 30 years to respond to the call by women advocates at the International Conference on Population and Development for more woman-initiated single or dual-purpose contraceptive methods by developing the Caya contoured diaphragm, an innovative diaphragm designed to meet the needs of women and their partners and expand options for nonhormonal barrier contraception. We describe the complex and interrelated set of activities undertaken to develop the product using a human-centered design process and how we are working to create a corollary sustainable market. This review includes the evidence generated around improved acceptability among couples in low- and middle-income countries and depicts challenges and practical actions on how to dispel misconceptions about diaphragm use. Importantly, we share programmatic lessons learned on increasing universal access to this new sexual and reproductive health technology. Following our new model for increasing access to new and underutilized methods, Caya is now registered and being marketed in nearly 40 countries worldwide.




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Capacity-Building Through Digital Approaches: Evaluating the Feasibility and Effectiveness of eLearning to Introduce Subcutaneous DMPA Self-Injection in Senegal and Uganda

ABSTRACTTraining health workers is one of the biggest challenges and cost drivers when introducing a new contraceptive method or service delivery innovation. PATH developed a digital training curriculum for family planning providers who are learning to offer subcutaneous DMPA (DMPA-SC), including through self-injection, as an option among a range of contraceptive methods. The DMPA-SC eLearning course for health workers includes 10 lessons with an emphasis on informed choice counseling and training clients to self-inject. In partnership with Ministries of Health in Senegal and Uganda, the course was rolled out in select areas in 2019–2020, including during the COVID-19 pandemic when physical distancing requirements restricted in-person training. We conducted evaluations in both countries to assess the practical application of this digital training approach for contraceptive introduction. The evaluation consisted of a post-training survey, an observational assessment conducted during post-training supportive supervision, and an estimation of training costs.In both countries, a majority (88.6% in Uganda and 64.3% in Senegal) scored above 80% on a DMPA-SC knowledge test following the training. In Senegal, where there was a comparison group of providers trained in person, those providers scored similar on the post-test to eLearners. Providers in both groups and in both countries felt more prepared to administer DMPA-SC or offer self-injection to clients after receiving a supervision visit (93%–98% of eLearners felt very prepared after supervision as compared to 45%–72% prior). The evaluation results suggest that digital approaches offer a number of benefits, can be cost-effective, and are most optimal when blended with in-person training and/or supportive supervision.




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Strengthening Capacity for Tailored Immunization Programs Using Adult Learning Principles: A Case Study from Nigeria

ABSTRACTIntroduction: Nigeria has the highest number of children who have not received any vaccines in Africa. The training-of-trainers (TOT) model used to train program managers (PMs) and health care workers (HCWs) is ineffective for adult learning and limits immunization programs’ success. We incorporated adult learning principles (ALPs) in designing and delivering TOT for immunization PMs and HCWs to use data to engage communities for tailored immunization strategies.Methods: Our study was implemented in 3 local government areas (LGAs) of the Federal Capital Territory, Nigeria. A training curriculum was developed, integrating ALPs and technical and operational content based on best practices in delivering immunization training and the training needs assessment findings. State PMs (n=10), LGA PMs (n=30), and HCWs (n=42) were trained on the human-centered design for tailoring immunization programs (HCD-TIP) approaches using ALPs. We used interviews and surveys with purposively and conveniently sampled PMs and HCWs, respectively, and observations to assess participants’ satisfaction, knowledge and competence, behavior changes, and results. The interviews were analyzed thematically, and surveys were statistically.Results: There was a high level of satisfaction with the training among LGA PMs (100%), state PMs (91%), and HCWs (85%), with significant knowledge and competence improvements post-training (P<.001). The trained participants conducted 2 HCD sessions with 24 undervaccinated communities and co-designed 24 prototype solutions for testing. Results showed increased coverage of the pentavalent vaccine first dose (54%) and third dose (188%) across 12 participating communities. Improved community colaboration, communication skills, and data-driven approaches were the most cited behavior changes in practice.Conclusion: The application of ALPs in training, use of HCD-TIP approaches and tools, and supportive supervision enhanced PMs’ and HCWs’ capacity for tailored interventions. Countries should consider adopting a holistic approach that focuses on using these approaches in immunization programs to strengthen the health system for equitable vaccine coverage.




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Twinning Partnership Network: A Learning and Experience-Sharing Network Among Health Professionals in Rwanda to Improve Health Services

ABSTRACTWe describe the development, implementation, and evaluation of a novel twinning approach: the Twinning Partnership Network (TPN). Twinning is a well-known approach to peer learning that has been used in a variety of settings to build organizational capacity. Although twinning takes many forms, the heart of the approach is that institutions with shared characteristics collaborate via sharing information and experiences to achieve a specific goal. We adapted a twinning partnership strategy developed by the World Health Organization to create a network of like-minded health institutions. The key innovation of the TPN is the network, which ensures that an institution always has a high-performing peer with whom to partner on a specific topic area of interest. We identified 10 hospitals and 30 districts in Rwanda to participate in the TPN. These districts and hospitals participated in a kickoff workshop in which they identified capacity gaps, clarified goals, and selected twinning partners. After the workshop, districts and hospitals participated in exchange visits, coaching visits, and virtual and in-person learning events. We found that districts and hospitals that selected specific areas and worked on them throughout the duration of the TPN with their peers improved their performance significantly when compared with those that selected and worked on other areas. Accreditation scores improved by 5.6% more in hospitals selecting accreditation than those that did not. Districts that selected improving community-based health insurance coverage improved by 4.8% more than districts that did not select this topic area. We hypothesize that these results are due to senior management’s interest and motivation to improve in these specific areas, the motivation gained by learning from high-performing peers with similar resources, and context-specific knowledge sharing from peer hospitals and districts.




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Deep Learning-Based Reconstruction of 3D T1 SPACE Vessel Wall Imaging Provides Improved Image Quality with Reduced Scan Times: A Preliminary Study [ARTIFICIAL INTELLIGENCE]

BACKGROUND AND PURPOSE:

Intracranial vessel wall imaging is technically challenging to implement, given the simultaneous requirements of high spatial resolution, excellent blood and CSF signal suppression, and clinically acceptable gradient times. Herein, we present our preliminary findings on the evaluation of a deep learning–optimized sequence using T1-weighted imaging.

MATERIALS AND METHODS:

Clinical and optimized deep learning–based image reconstruction T1 3D Sampling Perfection with Application optimized Contrast using different flip angle Evolution (SPACE) were evaluated, comparing noncontrast sequences in 10 healthy controls and postcontrast sequences in 5 consecutive patients. Images were reviewed on a Likert-like scale by 4 fellowship-trained neuroradiologists. Scores (range, 1–4) were separately assigned for 11 vessel segments in terms of vessel wall and lumen delineation. Additionally, images were evaluated in terms of overall background noise, image sharpness, and homogeneous CSF signal. Segment-wise scores were compared using paired samples t tests.

RESULTS:

The scan time for the clinical and deep learning–based image reconstruction sequences were 7:26 minutes and 5:23 minutes respectively. Deep learning–based image reconstruction images showed consistently higher wall signal and lumen visualization scores, with the differences being statistically significant in most vessel segments on both pre- and postcontrast images. Deep learning–based image reconstruction had lower background noise, higher image sharpness, and uniform CSF signal. Depiction of intracranial pathologies was better or similar on the deep learning–based image reconstruction.

CONCLUSIONS:

Our preliminary findings suggest that deep learning–based image reconstruction–optimized intracranial vessel wall imaging sequences may be helpful in achieving shorter gradient times with improved vessel wall visualization and overall image quality. These improvements may help with wider adoption of intracranial vessel wall imaging in clinical practice and should be further validated on a larger cohort.




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RPG Cast – Episode 610: “No One Should Learn Japanese from Super Robot Wars”

Chris embraces our cyberpunk subscription overlords. Josh kills the innkeeper (accidentally). Meanwhile Robert plunges down the .Hack hole.

The post RPG Cast – Episode 610: “No One Should Learn Japanese from Super Robot Wars” appeared first on RPGamer.



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Sony Discusses What Lessons Can be Learned from the Failure of Concord

Sony president Hiroki Totoki in a Q&A session with investors was asked about the failure of Concord, which was shut down less than two weeks after it released.

"Currently, we are still in the process of learning," said Totoki (via VideoGamesChronicle). "And basically, with regards to new IP, of course, you don’t know the result until you actually try it.

"So for us, for our reflection, we probably need to have a lot of gates, including user testing or internal evaluation, and the timing of such gates. And then we need to bring them forward, and we should have done those gates much earlier than we did.

"Also, we have a siloed organisation, so going beyond the boundaries of those organisations in terms of development, and also sales, I think that could have been much smoother.

"And then going forward, in our own titles and in third-party titles, we do have many different windows. And we want to be able to select the right and optimal window so that we can deploy them on our own platform without cannibalization, so that we can maximize our performance in terms of title launches. That’s all I have."

Sony senior vice president for finance and IR Sadahiko Hayakawa discussed the success of Helldivers 2 and the failure of Concord.

"We launched two live-service games this year," he said. "Helldivers 2 was a huge hit, while Concord ended up being shut down. We gained a lot of experience and learned a lot from both.

"We intend to share the lessons learned from our successes and failures across our studios, including in the areas of title development management as well as the process of continually adding expanded content and scaling the service after its release so as to strengthen our development management system.

"We intend to build on an optimum title portfolio during the current mid-range plan period that combines single-player games – which are our strengths and which have a higher predictability of becoming hits due to our proven IP – with live-service games that pursue upside while taking on a certain amount of risk upon release."

Concord released for the PlayStation 5 and PC on August 23, and it was shut down on September 6.

A life-long and avid gamer, William D'Angelo was first introduced to VGChartz in 2007. After years of supporting the site, he was brought on in 2010 as a junior analyst, working his way up to lead analyst in 2012 and taking over the hardware estimates in 2017. He has expanded his involvement in the gaming community by producing content on his own YouTube channel and Twitch channel. You can contact the author on Twitter @TrunksWD.

Full Article - https://www.vgchartz.com/article/463026/sony-discusses-what-lessons-can-be-learned-from-the-failure-of-concord/




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We’ve learned the hard way that ganging up on Deadlock doesn’t make it more digestible

The mystery surrounding Deadlock, Valve’s work-in-progress MOBA shooter, has largely evaporated. Its freely extendable invite system is about as effective at controlling player headcount as a disinterested football steward, meaning pretty much anyone with a clued-in Steam friend can get in and start poking around its secrets. And yet, being a lane-pushing wizard fighter in the Dota 2 vein, it’s already a vast tangle of interplaying abilities, items, strats, and often unspoken rules, of the kind that even experienced gankists will take hundreds of hours to learn. It’s been too much for poor Brendy, at any rate.

Still, Brendy is but one man. What if we had but four men, working in tandem to crush lanes and flatten Patrons just as Gabe intended? To find out if Deadlock is indeed more comprehensible as a team sport, Graham, Ed, Ollie, and James joined forces, promptly getting fucked up yet emerging from the warlock hospital with a deeper understanding of its workings. Or, at least, if anyone would keep playing.

Read more




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AI models can't learn as they go along like humans do

After their initial training phase, AI algorithms can’t update and learn from new data, meaning tech companies have to keep training new models from scratch




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Pioneers of AI win Nobel Prize in physics for laying the groundwork of machine learning

Two pioneers of artificial intelligence have won the Nobel Prize in physics for discoveries and inventions that formed the building blocks of machine learning.



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Machine Learning Might Save Time on Chip Testing



Finished chips coming in from the foundry are subject to a battery of tests. For those destined for critical systems in cars, those tests are particularly extensive and can add 5 to 10 percent to the cost of a chip. But do you really need to do every single test?

Engineers at NXP have developed a machine-learning algorithm that learns the patterns of test results and figures out the subset of tests that are really needed and those that they could safely do without. The NXP engineers described the process at the IEEE International Test Conference in San Diego last week.

NXP makes a wide variety of chips with complex circuitry and advanced chip-making technology, including inverters for EV motors, audio chips for consumer electronics, and key-fob transponders to secure your car. These chips are tested with different signals at different voltages and at different temperatures in a test process called continue-on-fail. In that process, chips are tested in groups and are all subjected to the complete battery, even if some parts fail some of the tests along the way.

Chips were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests.

“We have to ensure stringent quality requirements in the field, so we have to do a lot of testing,” says Mehul Shroff, an NXP Fellow who led the research. But with much of the actual production and packaging of chips outsourced to other companies, testing is one of the few knobs most chip companies can turn to control costs. “What we were trying to do here is come up with a way to reduce test cost in a way that was statistically rigorous and gave us good results without compromising field quality.”

A Test Recommender System

Shroff says the problem has certain similarities to the machine learning-based recommender systems used in e-commerce. “We took the concept from the retail world, where a data analyst can look at receipts and see what items people are buying together,” he says. “Instead of a transaction receipt, we have a unique part identifier and instead of the items that a consumer would purchase, we have a list of failing tests.”

The NXP algorithm then discovered which tests fail together. Of course, what’s at stake for whether a purchaser of bread will want to buy butter is quite different from whether a test of an automotive part at a particular temperature means other tests don’t need to be done. “We need to have 100 percent or near 100 percent certainty,” Shroff says. “We operate in a different space with respect to statistical rigor compared to the retail world, but it’s borrowing the same concept.”

As rigorous as the results are, Shroff says that they shouldn’t be relied upon on their own. You have to “make sure it makes sense from engineering perspective and that you can understand it in technical terms,” he says. “Only then, remove the test.”

Shroff and his colleagues analyzed data obtained from testing seven microcontrollers and applications processors built using advanced chipmaking processes. Depending on which chip was involved, they were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests. Extending the analysis to data from other types of chips led to an even wider range of opportunities to trim testing.

The algorithm is a pilot project for now, and the NXP team is looking to expand it to a broader set of parts, reduce the computational overhead, and make it easier to use.





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Stars and Scars… Some Lessons Learned About Leadership

By Arthur O. Tzianabos, PhD, CEO of Lifordi Immunotherapeutics, as part of the From the Trenches feature of LifeSciVC As the biotech industry continues to pick up steam, I have been getting a number of phone calls from folks in

The post Stars and Scars… Some Lessons Learned About Leadership appeared first on LifeSciVC.




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Create Halloween images and learn SAS basics

Learn how to take simple x/y coordinates, and create map polygons shaped like holiday images, that can be plotted using SAS/Graph's PROC GMAP.




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State Department’s Learning Agenda Launch

The Learning Agenda is an unprecedented effort by the Department to institutionalize evidence-based learning and implement the Foundations for Evidence-Based Policymaking Act of 2018 (“Evidence Act”). The Evidence Act requires federal agencies to develop a “learning agenda” – a systematic plan to answer a set of policy-relevant questions critical to achieving the agency’s strategic objectives. It will guide the Department’s efforts over the next four years across eight questions to increase the impact of U.S. foreign policy and bolster the Secretary of State’s modernization efforts.

This event featured a keynote address followed by a panel of foreign policy and evidence-building experts for a thoughtful discussion on addressing Learning Agenda Questions 1 and 2: How can the State Department improve the effectiveness of its diplomatic interventions to better advance foreign policy objectives? How can the Department improve the effectiveness and sustainability of its foreign assistance efforts?




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What Africa Can Learn from China about Growing its Agribusiness Sector

There is growing evidence that the Chinese economic miracle is a consequence of the rural entrepreneurship which started in the 1980s. This contradicts classical interpretations that focus on state-led enterprises and receptiveness to foreign direct investment....The lesson from China's experience is that development must be viewed as an expression of human potentialities, not as a product of external interventions.




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If Africa Learnt to Feed its Chickens it Could Feed its People

"South Africa is the continent's largest chicken producer. According to the South African Poultry Association, chicken imports from Brazil, the European Union and the US are destroying the domestic sector....This has led to oversupply and price reduction. This may benefit consumers, but it undercuts incentives for local production."




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Russia is Learning that Countries that live in Gas Houses Shouldn’t Throw Drones

Bystander video feeds show scenes of fire and destruction, flames engulfing pipelines and smoke billowing from oil tank farms. In one clip, a twin-tailed aircraft flies slowly over a burning refinery. It loiters, banks, and then plunges precisely into the top of a tall, hydrocarbon filled distillation tower followed by explosions and more fire.

Kyiv is turning the tables on Russia by striking at its hydrocarbon lifeblood. Ukraine’s justified and effective homegrown response to Putin’s two-year campaign of attacks on the nation’s energy infrastructure shows Russia that what goes around comes around.




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Negotiating with North Korea: Key Lessons Learned from Negotiators' Genesis Period

Only a small handful of people in the world have sat at the negotiating table with the North Koreans and extensively interacted with them. Yet, this knowledge is fragmented and has not been collected or analyzed in a systematic manner. This report captures the findings from in-depth, one-on-one interviews with former senior negotiators from the United States and South Korea, who gained unique knowledge about North Korean negotiating behavior by dealing directly with their high-level North Korean counterparts. 

These negotiators collectively represent a body of negotiation experience and expertise starting from the early 1990s to late 2019, when North Korea ceased all negotiations with the United States. During that time, the conditions for productive negotiation changed dramatically – indeed, the conditions for the 1994 U.S.-North Korea Agreed Framework negotiations were much more favorable than during the Six-Party Talks of the mid-2000s or the Season of Summits during 2018-2019. For the “Negotiating with North Korea: Key Lessons Learned from Negotiators’ Genesis Period” project, a spotlight was placed on former senior negotiators’ early-stage experience preparing for and engaging in negotiations with the North Koreans. In doing so, tacit knowledge was captured to serve as a resource for future negotiators to inform and accelerate their own genesis period.




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What the West Can Learn From Singapore

When asked whether the U.S. government works, most Americans say no. According to recent polling by Ipsos, more than two-thirds of adults in the United States think the country is going in the wrong direction. Gallup reports that only 26 percent have confidence in major U.S. institutions, such as the presidency, the Supreme Court, and Congress. Nearly half of Americans aged 18 to 25 say that they believe either that democracy or dictatorship “makes no difference” or that “dictatorship could be good in certain circumstances.” As a recent Economist cover story put it: “After victory in the Cold War, the American model seemed unassailable. A generation on, Americans themselves are losing confidence in it.”




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What the United States Can Learn From China

Stephen Walt argues that Americans who are deeply worried about China's rise should reflect on what Beijing has done well and what Washington has done poorly.




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A Just Transition for Coal Regions: Learning from Two Coal Cities in Western China

China produces more than half of the world’s coal and employs more coal workers than any other country. China will need to develop alternative economic opportunities for workers displaced by the transition away from coal. This report examines the experiences of Tongchuan, Shaanxi, and Wuhai, Inner Mongolia in addressing unemployment problems and diversifying their economies, offering lessons for how other coal-producing cities and regions around the world can ensure a just transition for fossil fuel industry workers. 




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JOHN SCULLEY LAUNCHES NEW BOOK AND MULTIMEDIA BUSINESS LEARNING SERIES TO HELP ENTREPRENEURS BUILD TRANSFORMATIVE BILLION DOLLAR BUSINESSES - John Sculley introduces his new multimedia business[...]

John Sculley introduces his new multimedia business learning series �How to Build a Successful Business�







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Bayer Pledges 1 Million Hands-On Science Learning Experiences For Children By 2020 To Help Inspire Next Generation Of Innovators - Bayer MSMS �Say TkU� Campaign

Bayer MSMS �Say TkU� Campaign




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Learning ancient, forbidden sex majik

There is an ancient and proud tradition of people finding spiritual resonance within the captivating riddle of their own sexuality. That tradition has little or nothing to do with carnies eating junk food... or does it???




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Our Machine Learning Crash Course goes in depth on generative AI

We recently launched a completely reimagined version of Machine Learning Crash Course.




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Amazon Children's Day Sale 2024: Get Massive Discounts on Best Android Tablets for E-Learning

Amazon's Children's Day Store is now open, featuring an array of products specially discounted for the occasion, including top-selling Android tablets ideal for e-learning. With price reductions of up to 75% on select items such as headphones, tablets, and kids' smartwatches,




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Why Writing by Hand Is Better for Memory and Learning

Engaging the fine motor system to produce letters by hand has positive effects on learning and memory




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Chris Hoy learned on girl's bike

Cyclist Sir Chris Hoy's first bicycle was a girl's bike the Olympic gold medallist's mother reveals.




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Machine Learning Model Revolutionizes Early Autism Detection

AutMedAI, a new medlinkmachine learning/medlink (ML) model, enhances early detection of medlinkAutism Spectrum Disorder/medlink (ASD) with minimal medical and background data.




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Explicit Instruction can Help Children Learn to Read

Explicit instruction ensures that all students in school get an opportunity to develop strong reading skills, reveals a new study. The ability to




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Distance learning: best apps, tools and online services

Distance learning solutions and online educational tools are rapidly growing in popularity and effectiveness with teachers, colleges and university-level programs worldwide. One recent survey estimated that...




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Entrepreneurs need to learn how to take care of their health at the minimum cost. Health is wealth

Overcomplicated prescriptions discourage individuals from taking action to improve their lives. Through the years, I have read a large number of health books that offered unworkable advice....




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Learning Yoga in India

India is the birth place of yoga but this divine practice has found followers all across the world. People are learning yoga in their cities and some even prefer to travel to India to learn yoga. There are many places that offer learners...




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Learn English Speaking the Online Way!

English has become a universal language of communication around the globe. Therefore, learning to speak English fluently is a priority for most people who do not have it as a native language. The...




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E-learning outsourcing Your helping hand

There used to be days when organizations had to rely on orthodox and pretty conventional natured methods for imparting on-job training to their employees. These encompassed a prolonged process...




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About Distance Learning MBA Benefits

Everybody knows that education play important role in every human life. Every people learn from education more things that we use in our general and professional life. But it's only a fundamental education that teaches us how to...




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Game based learning camouflaging fun with learning

Organisations of the modern era require proper and effective training materials which carry the potential to enhance the skills and knowledge of employees. Proper training systems can...




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LMS elearning enhancing organisational productivity

“Knowledge breeds gallantry”. This saying was propagated by some eminent scholars in the mid 17th century in order to foster realisations regarding the significance of learning. Many people are trapped with illusions...