learn

INTERDISCIPLINARY PERSPECTIVES ON VIRTUAL PLACE BASED LEARNING [Electronic book].

[S.l.] : PALGRAVE PIVOT, 2020.




learn

Intelligence science and big data engineering : big data and machine learning : 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, proceedings. Part II [Electronic book] / Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jia

Cham, Switzerland : Springer, [2019]




learn

Insights into human neurodegeneration [Electronic book] : lessons learnt from drosophila / Mousumi Mutsuddi, Ashim Mukherjee, editors.

Singapore : Springer, 2020.




learn

Human development and community engagement through service-learning [Electronic book] : the capability approach and public good in education / Ntimi Nikusuma Mtawa.

Cham : Palgrave Macmillan, c2019.




learn

HUMAN DEVELOPMENT AND COMMUNITY ENGAGEMENT THROUGH SERVICE-LEARNING [Electronic book] : the capability approach and... public good in education.

[S.l.] : SPRINGER NATURE, 2020.




learn

Frontiers and advances in positive learning in the age of InformaTiOn (PLATO) [Electronic book] / Olga Zlatkin-Troitschanskaia, editor.

Cham : Springer, c2019.




learn

The finger of the scribe : how scribes learned to write the Bible [Electronic book] / William M. Schniedewind.

New York, NY : Oxford University Press, 2019.




learn

The dragons and the snakes : how the rest learned to fight the West [Electronic book] / David Kilcullen.

New York, NY : Oxford University Press, 2020.




learn

Connecting adult learning and knowledge management : strategies for learning and change in higher education and organizations [Electronic book] / Monica Fedeli, Laura L. Bierema, editors.

Cham : Springer, [2019]




learn

Advanced linear modeling [Electronic book] : statistical learning and dependent data / Ronald Christensen.

Cham : Springer, 2019.




learn

One of ten billion earths: how we learn about our planet's past and future from distant exoplanets / Karel Schrijver

Hayden Library - QB820.S287 2018




learn

Product :: Learn Adobe After Effects CC for Visual Effects and Motion Graphics (Web Edition)




learn

Product :: Learn Adobe After Effects CC for Visual Effects and Motion Graphics




learn

Product :: Learn Adobe After Effects CC for Visual Effects and Motion Graphics




learn

Dimensions on nursing teaching and learning: supporting nursing students in learning nursing / Sheila Cunningham, editor

Online Resource




learn

Lessons Learned from a Year of Testing the Web Platform

The web-platform-tests project is a massive suite of tests (over one million in total) which verify that software (mostly web browsers) correctly implement web technologies. It’s as important as it is ambitious: the health of the web depends on a plurality of interoperable implementations. Although Bocoup has been contributing to the web-platform-tests, or “WPT,” for […]




learn

More from less: the surprising story of how we learned to prosper using fewer resources--and what happens next / Andrew McAfee

Dewey Library - HC79.C6 M383 2019




learn

Applied multiregional demography through problems: a programmed learning workbook with exercises and solutions / Andrei Rogers

Online Resource




learn

Reducing Poverty on a Global Scale: Learning and Innovating for Development ; Findings from the Shanghai Global Learning Initiative.

Online Resource




learn

Photovoltaics in the urban environment : lessons learnt from large scale projects / edited by Bruno Gaiddon, Henk Kaan, and Donna Munro




learn

Learning to Talk: Speaking the Language of Patients

In this narrative medicine essay, a resident physician recalls the joy she felt while learning the formal language of medicine as a student and anticipates the lifelong joy of learning to interpret that language in ways most helpful for her patients.




learn

English grammar in use : a self-study reference and practice book for intermediate learners of English / Raymond Murphy

Murphy, Raymond, 1943- author




learn

Basic & applied concepts of blood banking and transfusion practices / Paula R. Howard, MS, MPH, MT(ASCP)SBB (Professional Education and Corporate Training, Training Program Design and eLearning Course Development, Hobe Sound, Florida)

Howard, Paula R., author




learn

Statistics : the art and science of learning from data / Alan Agresti (University of Florida), Christine Franklin (University of Georgia), Bernhard Klingenberg (Williams College) ; with contributions by Michael Posner (Villanova University)

Agresti, Alan, author




learn

An introduction to statistics : an active learning approach / Kieth A. Carlson, Jennifer R. Winquist, Valparaiso University

Carlson, Kieth A., author




learn

Social networks can learn about you through your friends

Some people might think that online privacy is, well, a private matter. If you don’t want personal information getting out online, then you can just not put it out there. Right? Wrong. Keeping your information private isn’t solely your choice anymore. Friends can play a big role in your privacy, new data show. And the more they share on a social network, the more that social network can figure out about you.

Someone who joins a social network — such as Snapchat, Instagram or Facebook —wants to find their friends. Often, the social network can help. Many apps offer to import contact lists from your phone or e-mail. These apps then use that information to find matches with people already in the network, and suggest them to you.

complete article




learn

The Future of Education: How Cities Can Leverage Community Assets, Social Networks, and Personal Passions in Extending Their Learning Systems Beyond the Classroom

Schools can not do it all. We have known this for a long time, yet we often seem to deny this reality in policy and action. For decades we have piled expectations onto our schools, asking them to develop scholars, citizens, and workers and to provide for the academic, nutritional, social, and developmental needs of children. Schools, as critics are quick to point out, invariably fall short of these expectations.

complete article




learn

Machine learning for microbial phenotype prediction / Roman Feldbauer

Online Resource




learn

Statistical modelling and machine learning principles for bioinformatics techniques, tools, and applications K. G. Srinivasa, G. M. Siddesh, S. R. Manisekhar, editors

Online Resource




learn

Learn Salesforce Lightning: The Visual Guide to the Lightning UI / by Felicia Duarte, Rachelle Hoffman

Online Resource




learn

Zoo Animal Learning and Training


 

Comprehensively explains animal learning theories and current best practices in animal training within zoos 

This accessible, up-to-date book on animal training in a zoo/aquaria context provides a unified approach to zoo animal learning, bringing together the art and science of animal training. Written by experts in academia and working zoos, it incorporates the latest information from the scientific community along with current best practice, demystifying



Read More...




learn

How to Live When You Learn You Aren’t a Super-Hero

In the midst of life’s woundability, what is your foundation?




learn

A Trusted Learning Partner for Foundations

Watch our video to see how Mathematica is supporting foundations to transform communities and catalyze social change.




learn

Building Blocks: How One State Is Working to Measure and Improve Schools’ Contributions to Early Learning

To better understand its schools’ contributions to students’ learning in the first four grades, the Maryland State Department of Education partnered with the Regional Educational Laboratory Mid-Atlantic to explore constructing a school-level growth measure for kindergarten to grade 3.




learn

Communities Can Learn from Local Social Determinants of Health Data

By showing how local data on social determinants of health compare to data from similar communities, we hope to encourage innovation, foster peer-to-peer learning, and identify promising practices.




learn

Using Culturally Responsive Practices to Foster Learning During School Closures: Challenges and Opportunities for Equity

With the closure of school buildings fundamentally disrupting the way students receive services, the COVID-19 pandemic has changed the national conversation about education.




learn

The ride of a lifetime: lessons learned from 15 years as CEO of the Walt Disney Company / Robert Iger

Dewey Library - PN1998.3.I28 A3 2019




learn

Designing Online Professional Learning Communities

Professional learning communities (PLCs) bring together teams of educators to share ideas, learn about instructional approaches, and reflect on practice. Educators increasingly have opportunities to connect with peers and experts outside of their schools and districts through online platforms. These online PLCs offer greater flexibility for educators to participate in discussions from any location and at any time. But, there are important questions about how to design online PLCs that provide teachers with flexibility, encourage their participation, and are integrated with face-to-face professional learning opportunities.




learn

Webinar: Learning Together to Prevent Homelessness for Youth and Young Adults with Child Welfare Involvement




learn

Learning Remotely in the Age of COVID-19: Lessons from Evidence and Concerns for Equity

The spread of COVID-19 has caused schools and districts across the country to shutter their doors. States, districts, and schools must suddenly and unexpectedly grapple with the new reality of providing a quality education to every student remotely.




learn

Refining Your Remote Learning Strategies Using a Data-Driven Approach: The Evidence to Insights Coach

With school buildings closed by COVID-19, schools and districts across the country are rapidly (and sometimes frantically) transitioning to remote learning.




learn

Supporting Pre-K to Grade 3 Children and Their Learning Partners at Home

This webinar will review the research on the home and parenting characteristics that support young children’s learning.




learn

Integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke

Chem. Commun., 2020, Accepted Manuscript
DOI: 10.1039/D0CC02329A, Communication
Lijian Zhang, Fei Ma, Ao Qi, Lulu Liu, Junjie Zhang, Simin Xu, Qisheng Zhong, Yusen Chen, Chun-yang Zhang, Chun Cai
We report for the first time the integration of ultra-high-pressure liquid chromatography-tandem mass spectrometry with machine learning for identifying fatty acid metabolite biomarkers of ischemic stroke. Especially, we develop an...
The content of this RSS Feed (c) The Royal Society of Chemistry




learn

Learn HTML5 and Javascript for iOS / Scott Preston

Preston, Scott, 1969-




learn

Learning Web design : a beginner's guide to HTML, graphics, and beyond / Jennifer Niederst

Niederst Robbins, Jennifer




learn

Undercover user experience : learn how to do great UX work with tiny budgets, no time, and limited support / Cennydd Bowles and James Box

Bowles, Cennydd, author




learn

Big data analytics with Spark : a practitioner's guide to using Spark for large-scale data processing, machine learning, and graph analytics, and high-velocity data stream processing / Mohammed Guller

Guller, Mohammed, author




learn

Interactivity, game creation, design, learning, and innovation : 6th International Conference, ArtsIT 2017, and second International Conference, DLI 2017, Heraklion, Crete, Greece, October 30-31, 2017, Proceedings / Anthony L. Brooks, Eva Brooks, Nikolas

International Conference on Arts and Technology (6th : 2017 : Ērakleion, Greece),




learn

Active learning a coarse-grained neural network model for bulk water from sparse training data

Mol. Syst. Des. Eng., 2020, Advance Article
DOI: 10.1039/C9ME00184K, Communication
Troy D. Loeffler, Tarak K. Patra, Henry Chan, Subramanian K. R. S. Sankaranarayanan
Active learning scheme to train neural network potentials for molecular simulations.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




learn

Machine learning methods to predict the crystallization propensity of small organic molecules

CrystEngComm, 2020, 22,2817-2826
DOI: 10.1039/D0CE00070A, Paper
Florbela Pereira
Machine learning algorithms were explored for the prediction of the crystallization propensity based on molecular descriptors and fingerprints generated from 2D chemical structures and 3D chemical structures optimized with empirical methods.
The content of this RSS Feed (c) The Royal Society of Chemistry