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What We've Learned About Business Resiliency

Business resiliency and the supply chain - they both were tested by the disruptions we've all experienced. But Patrick Potter of RSA says there are lessons to be learned from the response, and they will guide us as we prepare for the next evolution of our business climate.




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What We've Learned About Business Resiliency

Business resiliency and the supply chain - they both were tested by the disruptions we've all experienced. But Patrick Potter of RSA says there are lessons to be learned from the response, and they will guide us as we prepare for the next evolution of our business climate.




learn

What We've Learned About Business Resiliency

Business resiliency and the supply chain - they both were tested by the disruptions we've all experienced. But Patrick Potter of RSA says there are lessons to be learned from the response, and they will guide us as we prepare for the next evolution of our business climate.




learn

What We've Learned About Business Resiliency

Business resiliency and the supply chain - they both were tested by the disruptions we've all experienced. But Patrick Potter of RSA says there are lessons to be learned from the response, and they will guide us as we prepare for the next evolution of our business climate.




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Recognizing Lessons Learned From the First DNSSEC Key Rollover, a Year Later

A year ago, under the leadership of the Internet Corporation for Assigned Names and Numbers (ICANN), the internet naming community completed the first-ever rollover of the cryptographic key that plays a critical role in securing internet traffic worldwide. The ultimate success of that endeavor was due in large part to outreach efforts by ICANN and […]

The post Recognizing Lessons Learned From the First DNSSEC Key Rollover, a Year Later appeared first on Verisign Blog.




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[Ticker] Estonia holds UN talks on 'lessons learned' from WW2

Estonia is marking 75 years since the end of WW2 on European soil on Friday at a vide-meeting of the UN Security Council, which it currently chairs. The event, which is public and live-streamed, will discuss "lessons learned to prevent future atrocities" and "the responsibility of the Security Council", which has failed to stop egregious war crimes in Syria in recent times. US historian Timothy Snyder will also take part.




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[Stakeholder] Time to reinvent our Union, learning from Schuman's courage

70 years later, after decades of comparative peace, todays European Union - perhaps the world's greatest experiment in state integration - finds itself at a crossroads.




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Earth to AI: Three Startups Using Deep Learning for Environmental Monitoring

Sometimes it takes an elevated view to appreciate the big picture. NASA’s iconic “Blue Marble,” taken in 1972, helped inspire the modern environmental movement by capturing the finite and fragile nature of Earth for the first time. Today, aerial imagery from satellites and drones powers a range of efforts to monitor and protect our planet Read article >

The post Earth to AI: Three Startups Using Deep Learning for Environmental Monitoring appeared first on The Official NVIDIA Blog.




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NVIDIA Deep Learning Institute Instructor-Led Training Now Available Remotely

Starting this month, NVIDIA’s Deep Learning Institute is offering instructor-led workshops that are delivered remotely via a virtual classroom. DLI provides hands-on training in AI, accelerated computing and accelerated data science to help developers, data scientists and other professionals solve their most challenging problems. These in-depth classes are taught by experts in their respective fields, Read article >

The post NVIDIA Deep Learning Institute Instructor-Led Training Now Available Remotely appeared first on The Official NVIDIA Blog.




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NVIDIA Deep Learning Institute Instructor-Led Training Now Available Remotely

Starting this month, NVIDIA’s Deep Learning Institute is offering instructor-led workshops that are delivered remotely via a virtual classroom. DLI provides hands-on training in AI, accelerated computing and accelerated data science to help developers, data scientists and other professionals solve their most challenging problems. These in-depth classes are taught by experts in their respective fields, Read article >

The post NVIDIA Deep Learning Institute Instructor-Led Training Now Available Remotely appeared first on The Official NVIDIA Blog.




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Emerging Importance of Social Entrepreneurship to be Focus of Service Learning Fair

Emerging Importance of Social Entrepreneurship to be Focus of Service Learning Fair
FOR IMMEDIATE RELEASE

Media Contact:
Derek Ferrar

Media Relations Specialist
808-944-7204; email: ferrard@eastwestcenter.org
Source Contact: Stuart H. Coleman
Leadership Certificate Program Coordinator
(808) 944-7229, colemans@eastwestcenter.org

HONOLULU (Nov. 14) -- A panel of Honolulu community leaders will discuss the emerging importance of social entrepreneurship in the non-profit and business sectors at the first annual Fall Service Learning Fair, presented on Nov. 17 by the East-West Center (EWC) Leadership Certificate Program.




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How Covid-19 is de-mystifying online learning

In an interview with Natasa Meli, SACAP’s Head of Online Campus, she discusses how resistance to online learning has changed.





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Children under Lockdown get a ‘Learning Passport’

Soon schools in Timor-Leste, Ukraine, and Kosovo, where some 6.5 million children are currently at home, will hopefully start teaching their children once again — albeit online.  A learning platform, originally designed to assist refugee and displaced children, was launched this week to address the current global crisis affecting children who are out of school […]

The post Children under Lockdown get a ‘Learning Passport’ appeared first on Inter Press Service.




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Musicians and DJs fight against COVID-19 closures and learn to live it up online

With gigs off and venues closed, Japanese artists are getting more creative in staging shows for fans staying at home.




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We can’t say you don’t have to learn ‘nakute mo ii’

The structures "nakute mo ii desu" and "hitsuyō wa arimasen" let people know they're not obliged to do something.




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Tips for teaching and learning online

Doug Strable, a freelance learning and development designer based in Tokyo, lays out some ideas, advice and warnings surrounding the new type of classroom that ...




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South Africa: Western Cape Gets Ready for Learners to Return to School

[Daily Maverick] With more than 42 school days lost to the coronavirus crisis, educators in Western Cape have been counting costs and making plans to resume classes.




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Lessons learned from the coronavirus pandemic - SCMP Series

In a series of in-depth articles, we look at the early lessons learned from the coronavirus pandemic. 1. Wanted: world leaders to answer the coronavirus pandemic alarm The international community has sleepwalked into an emergency that it could have prepared for years ago, analysts say. 2. One virus caused Covid-19; scientists say thousands more are in waiting In the second part of our series on lessons learned from the pandemic, we look at the need to identify new viruses and the risks of…




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Parents are getting raw deal in virtual learning proposals

Virtual learning will leave out a significant proportion of learners.




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Time for scientists to learn the arts and humanities, and vice-versa

We should come up with innovations that respond to societal needs.




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Google Classroom preferred eLearning platform for schools

Currently, platform has attracted over 100 million users.




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Masks, tests, quarantine centres: What can Canada learn from Hong Kong’s Covid-19 successes?

Professor Samuel Yeung-shan Wong says he loves Canada, and wants it to learn from Hong Kong’s successes in the battle with Covid-19.Wong, director of the Chinese University of Hong Kong’s school of public health, earned his medical degree at the University of Toronto in the 1990s and did his residency in Halifax, Nova Scotia.When he chats with his Canadian cousins they tell him that “they aren’t going out”, he said. Hong Kong, meanwhile, has avoided a Canadian-style lockdown, and on Friday…




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With butlers in isolation, wealthy are forced to learn housekeeping

A housekeeping staffing company says "We're getting calls from the principals themselves saying, 'I've never had to change the bed - what do I do?"




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Viral plea for smartphone from Romanian girl who wants to keep learning in lockdown

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Lockdown learning: French school closures will have 'a catastrophic effect on an entire generation'

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Five disaster resilience lessons we can learn from India -- by Dr. Archana Patankar

India is one of the world’s most vulnerable countries to disasters and it has a lot to share when it comes to preparing for them.




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Lessons learned from the massive shift to online learning due to COVID-19 -- by Jeffrey Jian Xu , Sungsup Ra, Brajesh Panth

The surge in online learning in the People’s Republic of China during the coronavirus outbreak highlights the importance of infrastructure, platforms and the preparedness of teachers, students and parents.




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How to boost accountability and learning in aid for COVID-19 - Marvin Taylor-Dormond and Stoyan Tenev

The world is experiencing what some may think is a “typical” black swan event: rare, extremely impactful, and only retrospectively predictable. 



  • Op-Ed / Opinion

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Learning from the Challenges of the Melamchi Water Supply in Kathmandu

Nepal has 2.7% of the earth’s freshwater, yet the people of Kathmandu, Nepal’s most developed region, struggle with scarce water supply.




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Here's how we can learn from other animals to create a better Earth

The exhibition Animalesque celebrates what we share with Earth's other species – and offers hope for reforming our relationship with the natural world




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Blue tits learn to avoid gross food by watching videos of other birds

Blue tits and great tits don’t need to taste unpleasant foods to avoid them – they can learn not to try them by seeing another bird’s disgusted response, even if it’s only on video




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Wasps may benefit us as much as bees. Could we learn to love them?

We love to hate wasps, but they pollinate flowers, kill off pests and their venom might even help us treat cancer




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Bats can learn to copy sounds and it may teach us about human speech

Pale spear-nosed bats can learn to alter their calls to mimic different sounds – a rare skill that could help us understand the biology of human speech and language




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Wasps may benefit us as much as bees. Could we learn to love them?

We love to hate wasps, but they pollinate flowers, kill off pests and their venom might even help us treat cancer




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By 9 Months, Baby's Visual Learning Kicks In: Study

Title: By 9 Months, Baby's Visual Learning Kicks In: Study
Category: Health News
Created: 4/30/2014 9:35:00 AM
Last Editorial Review: 4/30/2014 12:00:00 AM




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For Newly Insured Under Obamacare, a Steep Learning Curve

Title: For Newly Insured Under Obamacare, a Steep Learning Curve
Category: Health News
Created: 5/2/2014 9:35:00 AM
Last Editorial Review: 5/2/2014 12:00:00 AM




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Babies Born Addicted to Opioids Often Struggle With Learning

Title: Babies Born Addicted to Opioids Often Struggle With Learning
Category: Health News
Created: 5/3/2017 12:00:00 AM
Last Editorial Review: 5/4/2017 12:00:00 AM




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College Kids May Be Learning, Even When Checking Smartphones

Title: College Kids May Be Learning, Even When Checking Smartphones
Category: Health News
Created: 4/27/2018 12:00:00 AM
Last Editorial Review: 4/30/2018 12:00:00 AM




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Learning and Teaching Together to Advance Evidence-Based Clinical Education: A Faculty Learning Community

Clinical teaching is a cornerstone of health sciences education; it is also the most challenging aspect. The University of Pittsburgh Schools of Dental Medicine, Nursing, and Pharmacy developed a new evidence-based interprofessional course framed as a faculty learning community (FLC) around the principles of learning in a clinical environment. The aim of this study was to assess the overall effectiveness of this two-semester FLC at four health professions schools in academic year 2014-15. The assessment included anonymous participant surveys in each session and an anonymous end-of-course survey. Thirty-five faculty members from dental, health and rehabilitation sciences, nursing, and pharmacy enrolled in the FLC, with six to 32 enrollees attending each session. All attendees at each session completed the session evaluation surveys, but the attendance rate at each session ranged from 17.1% to 91.4%. Sixteen participants (46%) completed the end-of-course survey. The results showed overall positive responses to the FLC and changes in the participants’ self-reported knowledge. Session surveys showed that the participants found the FLC topics helpful and appreciated the opportunity to learn from each other and the interprofessional nature of the FLC. Responses to the end-of-course survey were in alignment with the individual session surveys and cited specific benefits as being the content, teaching materials, and structured discussions. In additional feedback, participants reported interest to continue as a cohort and to extend the peer-support system beyond the FLC. This outcomes assessment of the first round of the FLC confirmed that this cohort-based faculty development in an interprofessional setting was well received by its participants. Their feedback provided valuable insights for changes to future offerings.




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Coping with COVID: How a Research Team Learned To Stay Engaged in This Time of Physical Distancing

ABSTRACT

Physical distancing imposed by the COVID-19 pandemic has led to alterations in routines and new responsibilities for much of the research community. We provide some tips for how research teams can cope with physical distancing, some of which require a change in how we define productivity. Importantly, we need to maintain and strengthen social connections in this time when we can’t be physically together.




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Machine learning as a diagnostic decision aid for patients with transient loss of consciousness

Background

Transient loss of consciousness (TLOC) is a common reason for presentation to primary/emergency care; over 90% are because of epilepsy, syncope, or psychogenic non-epileptic seizures (PNES). Misdiagnoses are common, and there are currently no validated decision rules to aid diagnosis and management. We seek to explore the utility of machine-learning techniques to develop a short diagnostic instrument by extracting features with optimal discriminatory values from responses to detailed questionnaires about TLOC manifestations and comorbidities (86 questions to patients, 31 to TLOC witnesses).

Methods

Multi-center retrospective self- and witness-report questionnaire study in secondary care settings. Feature selection was performed by an iterative algorithm based on random forest analysis. Data were randomly divided in a 2:1 ratio into training and validation sets (163:86 for all data; 208:92 for analysis excluding witness reports).

Results

Three hundred patients with proven diagnoses (100 each: epilepsy, syncope and PNES) were recruited from epilepsy and syncope services. Two hundred forty-nine completed patient and witness questionnaires: 86 epilepsy (64 female), 84 PNES (61 female), and 79 syncope (59 female). Responses to 36 questions optimally predicted diagnoses. A classifier trained on these features classified 74/86 (86.0% [95% confidence interval 76.9%–92.6%]) of patients correctly in validation (100 [86.7%–100%] syncope, 85.7 [67.3%–96.0%] epilepsy, 75.0 [56.6%–88.5%] PNES). Excluding witness reports, 34 features provided optimal prediction (classifier accuracy of 72/92 [78.3 (68.4%–86.2%)] in validation, 83.8 [68.0%–93.8%] syncope, 81.5 [61.9%–93.7%] epilepsy, 67.9 [47.7%–84.1%] PNES).

Conclusions

A tool based on patient symptoms/comorbidities and witness reports separates well between syncope and other common causes of TLOC. It can help to differentiate epilepsy and PNES. Validated decision rules may improve diagnostic processes and reduce misdiagnosis rates.

Classification of evidence

This study provides Class III evidence that for patients with TLOC, patient and witness questionnaires discriminate between syncope, epilepsy and PNES.




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Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations [Methods, Technology, [amp ] Resources]

There is increasing interest in developing diagnostics that discriminate individual mutagenic mechanisms in a range of applications that include identifying population-specific mutagenesis and resolving distinct mutation signatures in cancer samples. Analyses for these applications assume that mutagenic mechanisms have a distinct relationship with neighboring bases that allows them to be distinguished. Direct support for this assumption is limited to a small number of simple cases, e.g., CpG hypermutability. We have evaluated whether the mechanistic origin of a point mutation can be resolved using only sequence context for a more complicated case. We contrasted single nucleotide variants originating from the multitude of mutagenic processes that normally operate in the mouse germline with those induced by the potent mutagen N-ethyl-N-nitrosourea (ENU). The considerable overlap in the mutation spectra of these two samples make this a challenging problem. Employing a new, robust log-linear modeling method, we demonstrate that neighboring bases contain information regarding point mutation direction that differs between the ENU-induced and spontaneous mutation variant classes. A logistic regression classifier exhibited strong performance at discriminating between the different mutation classes. Concordance between the feature set of the best classifier and information content analyses suggest our results can be generalized to other mutation classification problems. We conclude that machine learning can be used to build a practical classification tool to identify the mutation mechanism for individual genetic variants. Software implementing our approach is freely available under an open-source license.




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Learning of bimodal vs. unimodal signals in restrained bumble bees [RESEARCH ARTICLE]

Andre J. Riveros, Anne S. Leonard, Wulfila Gronenberg, and Daniel R. Papaj

Similar to animal communication displays, flowers emit complex signals that attract pollinators. Signal complexity could lead to higher cognitive load, impairing performance, or might benefit pollinators by facilitating learning, memory and decision-making. Here, we evaluate learning and memory in foragers of the bumble bee Bombus impatiens trained to simple (unimodal) vs. complex signals (bimodal) under restrained conditions. Use of a proboscis extension response protocol enabled us to control the timing and duration of stimuli presented during absolute and differential learning tasks. Overall, we observed broad variation in the performance under the two conditions, with bees trained to compound bimodal signals learning and remembering as well as, better, or more poorly than bees trained to unimodal signals. Interestingly, the outcome of training was affected by the specific colour-odour combination. Among unimodal stimuli, the performance with odour stimuli was higher than with colour stimuli, suggesting that olfactory signals played a more significant role in the compound bimodal condition. This was supported by the fact that after 24 h, most bimodal-treatment bees responded to odour but not visual stimuli. We did not observe differences in latency of response, suggesting that signal composition affected decision accuracy, not speed. We conclude that restrained bumble bee workers exhibit broad variation of responses to bimodal stimuli and that components of the bimodal signal may not be used equivalently. The analysis of bee performance under restrained conditions enables accurately control the multimodal stimuli provided to individuals and to study the interaction of individual components within a compound.




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Learning-induced mRNA alterations in olfactory bulb mitral cells in neonatal rats [RESEARCH]

In the olfactory bulb, a cAMP/PKA/CREB-dependent form of learning occurs in the first week of life that provides a unique mammalian model for defining the epigenetic role of this evolutionarily ancient plasticity cascade. Odor preference learning in the week-old rat pup is rapidly induced by a 10-min pairing of odor and stroking. Memory is demonstrable at 24 h, but not 48 h, posttraining. Using this paradigm, pups that showed peppermint preference 30 min posttraining were sacrificed 20 min later for laser microdissection of odor-encoding mitral cells. Controls were given odor only. Microarray analysis revealed that 13 nonprotein-coding mRNAs linked to mRNA translation and splicing and 11 protein-coding mRNAs linked to transcription differed with odor preference training. MicroRNA23b, a translation inhibitor of multiple plasticity-related mRNAs, was down-regulated. Protein-coding transcription was up-regulated for Sec23b, Clic2, Rpp14, Dcbld1, Magee2, Mstn, Fam229b, RGD1566265, and Mgst2. Gng12 and Srcg1 mRNAs were down-regulated. Increases in Sec23b, Clic2, and Dcbld1 proteins were confirmed in mitral cells in situ at the same time point following training. The protein-coding changes are consistent with extracellular matrix remodeling and ryanodine receptor involvement in odor preference learning. A role for CREB and AP1 as triggers of memory-related mRNA regulation is supported. The small number of gene changes identified in the mitral cell input/output link for 24 h memory will facilitate investigation of the nature, and reversibility, of changes supporting temporally restricted long-term memory.




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Learning & Memory




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Sleep Restriction and Memory and Learning in Adolescents




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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk

Background:

Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel approach to simultaneously assess risks for multiple cancers to identify distinct multicancer configurations (multiple different cancer types that cluster in relatives) surrounding patients with familial bladder cancer.

Methods:

This study takes advantage of a unique population-level data resource, the Utah Population Database (UPDB), containing vast genealogy and statewide cancer data. Familial risk is measured using standardized incidence risk (SIR) ratios that account for sex, age, birth cohort, and person-years of the pedigree members.

Results:

We identify 1,023 families with a significantly higher bladder cancer rate than population controls (familial bladder cancer). Familial SIRs are then calculated across 25 cancer types, and a weighted Gower distance with K-medoids clustering is used to identify familial multicancer configurations (FMC). We found five FMCs, each exhibiting a different pattern of cancer aggregation. Of the 25 cancer types studied, kidney and prostate cancers were most commonly enriched in the familial bladder cancer clusters. Laryngeal, lung, stomach, acute lymphocytic leukemia, Hodgkin disease, soft-tissue carcinoma, esophageal, breast, lung, uterine, thyroid, and melanoma cancers were the other cancer types with increased incidence in familial bladder cancer families.

Conclusions:

This study identified five familial bladder cancer FMCs showing unique risk patterns for cancers of other organs, suggesting phenotypic heterogeneity familial bladder cancer.

Impact:

FMC configurations could permit better definitions of cancer phenotypes (subtypes or multicancer) for gene discovery and environmental risk factor studies.