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Classroom management : creating a successful k-12 learning community / Paul R. Burden, Kansas State University
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Turning on learning : five approaches for multicultural teaching plans for race, class, gender, and disability / Carl A. Grant, Christine E. Sleeter
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Schools that learn : a fifth discipline fieldbook for educators, parents, and everyone who cares about education / Peter Senge, Nelda Cambron-McCabe, Timothy Lucas, Bryan Smith, Janis Dutton, Art Kleiner
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Classroom management : engaging students in learning / Tim McDonald
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Higher education and the future of graduate employability : a connectedness learning approach / edited by Ruth Bridgstock, Neil Tippett
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Transformational professional learning : making a difference in schools / Deborah M. Netolicky
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E-learning in the 21st century : a framework for research and practice / D.R. Garrison and Terry Anderson
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Practical pedagogy : 40 new ways to teach and learn / Mike Sharples
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Helping children learn mathematics / Robert E. Reys, Anna Rogers, Sue Bennett, Audrey Cooke, Kylie Robson, Bronwyn Ewing, John West
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Positive learning environments / John De Nobile, Gordon Lyons, Michael Arthur-Kelly
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Implementing change : patterns, principles, and potholes / Gene E Hall, President, Concerns Based Systems, Inc., Professor Emeritus, University of Nevada, Las Vegas, Shirley M. Hord, Scholar Laureate, Learning Forward ; forewords by Bruce Joyce, Barrie Be
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Machine Learning: Hands-On for Developers and Technical Professionals, 2nd Edition
| Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing Read More... |
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Next-Generation Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and More / Butch Quinto
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Machine learning and knowledge discovery in databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. / Peggy Cellier, Kurt Driessens (eds.)
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Machine learning and knowledge discovery in databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, proceedings. / Peggy Cellier, Kurt Driessens (eds.)
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Machine learning for intelligent decision science Jitendra Kumar Rout, Minakhi Rout, Himansu Das, editors
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Machine learning and information processing: proceedings of ICMLIP 2019 / Debabala Swain, Prasant Kumar Pattnaik, Pradeep K. Gupta, editors
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The selective misrepresentation of financial information due to earnings management [electronic resource] : theoretical background, models and empirical evidence from the European Union / Riccardo Cimini
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Management accounting research in practice [electronic resource] : lessons learned from an interventionist approach / Petri Suomala and Jouni Lyly-Yrjänäinen
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Learn to live with coronavirus, says govt as cases cross 56,000
Over the last few days cases in India are rising at a much faster pace than before, raising serious concerns
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A high-throughput system combining microfluidic hydrogel droplets with deep learning for screening the antisolvent-crystallization conditions of active pharmaceutical ingredient
Lab Chip, 2020, Accepted Manuscript
DOI: 10.1039/D0LC00153H, Paper
DOI: 10.1039/D0LC00153H, Paper
Zhening Su, Jinxu He, Peipei Zhou, Lu Huang, Jianhua Zhou
Crystallization of active pharmaceutical ingredients (APIs) is a crucial process in the pharmaceutical industry due to its great impact in drug efficacy. However, conventional approaches for screening the optimal crystallization...
The content of this RSS Feed (c) The Royal Society of Chemistry
Crystallization of active pharmaceutical ingredients (APIs) is a crucial process in the pharmaceutical industry due to its great impact in drug efficacy. However, conventional approaches for screening the optimal crystallization...
The content of this RSS Feed (c) The Royal Society of Chemistry
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A Web-based Automated Machine Learning Platform to Analyze Liquid Biopsy Data
Lab Chip, 2020, Accepted Manuscript
DOI: 10.1039/D0LC00096E, Paper
DOI: 10.1039/D0LC00096E, Paper
Hanfei Shen, Tony Liu, Jesse Cui, Piyush Borole, Ari Benjamin, Konrad Kording, David Issadore
Liquid biopsy (LB) technologies continue to improve in sensitivity, specificity, and multiplexing and can measure an ever growing library of disease biomarkers. However, clinical interpretation of the increasingly large sets...
The content of this RSS Feed (c) The Royal Society of Chemistry
Liquid biopsy (LB) technologies continue to improve in sensitivity, specificity, and multiplexing and can measure an ever growing library of disease biomarkers. However, clinical interpretation of the increasingly large sets...
The content of this RSS Feed (c) The Royal Society of Chemistry
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[ASAP] Combining Docking Pose Rank and Structure with Deep Learning Improves Protein–Ligand Binding Mode Prediction over a Baseline Docking Approach
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[ASAP] Cov_FB3D: A De Novo Covalent Drug Design Protocol Integrating the BA-SAMP Strategy and Machine-Learning-Based Synthetic Tractability Evaluation
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[ASAP] LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening
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[ASAP] Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction
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[ASAP] Nanomaterial Synthesis Insights from Machine Learning of Scientific Articles by Extracting, Structuring, and Visualizing Knowledge
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[ASAP] Deep Dive into Machine Learning Models for Protein Engineering
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[ASAP] BIreactive: A Machine-Learning Model to Estimate Covalent Warhead Reactivity
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Turn It and Turn It Again: Studies in the Teaching and Learning of Classical Jewish Texts
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Brain function assessment in learning: first International Conference, BFAL 2017, Patras, Greece, September 24-25, 2017, proceedings / Claude Frasson, George Kostopoulos (eds.)
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Associative learning and cognition: homage to Professor N. J. Mackintosh. In memoriam (1935-2015) / edited by J.B. Trobalon, V.D. Chamizo
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Signal processing and machine learning for brain-machine interfaces / edited by Toshihisa Tanaka and Mahnaz Arvaneh
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Entertainment industry opens wallet for daily wage earners
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Lanthanum chloride impairs spatial learning and memory by inducing [Ca2+]m overload, mitochondrial fission–fusion disorder and excessive mitophagy in hippocampal nerve cells of rats
Metallomics, 2020, 12,592-606
DOI: 10.1039/C9MT00291J, Paper
DOI: 10.1039/C9MT00291J, Paper
Miao Yu, Jinghua Yang, Xiang Gao, Wenchang Sun, Shiyu Liu, Yarao Han, Xiaobo Lu, Cuihong Jin, Shengwen Wu, Yuan Cai
Lanthanum chloride damages hippocampal nerve cells of rats through inducing [Ca2+]m overload, mitochondrial fission–fusion disorder, and excessive mitophagy.
The content of this RSS Feed (c) The Royal Society of Chemistry
Lanthanum chloride damages hippocampal nerve cells of rats through inducing [Ca2+]m overload, mitochondrial fission–fusion disorder, and excessive mitophagy.
The content of this RSS Feed (c) The Royal Society of Chemistry
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[ASAP] Optimized Multimetal Sensitized Phosphor for Enhanced Red Up-Conversion Luminescence by Machine Learning
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Zhong wai da xue jiao xue fa zhan zhong xin yan jiu = Research on teaching and learning centers of Chinese and foreign research universities / zhu bian Wang Xia ; fu zhu bian Cui Jun
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How we learn where we live: Thomas Bernhard, architecture, and bildung / Fatima Naqvi
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Artificial intelligence programs that learn concepts based on just a few examples and a daily news roundup
Brenden Lake discusses a new computational model that rivals the human ability to learn new concepts based on just a single example; David Grimm talks about attracting cockroaches, searching for habitable planets, and looking to street dogs to learn about domestication. Hosted by Susanne Bard. [Img: Rodrigo Basaure CC BY 2.0, via flickr]
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Podcast: Watching shoes untie, Cassini’s last dive through the breath of a cryovolcano, and how human bias influences machine learning
This week, walk like an elephant—very far, with seeds in your guts, Cassini’s mission to Saturn wraps up with news on the habitability of its icy moon Enceladus, and how our shoes manage to untie themselves with Online News Editor David Grimm. Aylin Caliskan joins Sarah Crespi to discuss how biases in our writing may be perpetuated by the machines that learn from them. Listen to previous podcasts. Download the show transcript. Transcripts courtesy of Scribie.com. [Image: NASA/JPL-Caltech; Music: Jeffrey Cook]
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Podcast: When good lions go bad, listening to meteor crashes, and how humans learn to change the world
This week, meteors’ hiss may come from radio waves, pigeons that build on the wings of those that came before, and a potential answer to the century-old mystery of what turned two lions into people eaters with Online News Editor David Grimm. Elise Amel joins Julia Rosen to discuss the role of evolution and psychology in humans’ ability to overcome norms and change the world, as part of a special issue on conservation this week in Science. Listen to previous podcasts. Download the show transcript Transcripts courtesy Scribie.com [Image: bjdlzx/iStockphoto; Music: Jeffrey Cook]
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Following 1000 people for decades to learn about the interplay of health, environment, and temperament, and investigating why naked mole rats don’t seem to age
David Grimm—online news editor for Science—talks with Sarah Crespi about the chance a naked mole rat could die at any one moment. Surprisingly, the probability a naked mole rat will die does not go up as it gets older. Researchers are looking at the biology of these fascinating animals for clues to their seeming lack of aging. Sarah also interviews freelancer Douglas Starr about his feature story on the Dunedin Multidisciplinary Health and Development Study—a comprehensive study of the lives of all the babies born in 1 year in a New Zealand hospital. Starr talks about the many insights that have come out of this work—including new understandings of criminality, drug addiction, and mental illness—and the research to be done in the future as the 1000-person cohort begins to enter its fifth decade. Listen to previous podcasts. [Image: Tim Evanson/Flickr/CC BY-SA 2.0; Music: Jeffrey Cook]
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What we can learn from a cluster of people with an inherited intellectual disability, and questioning how sustainable green lawns are in dry places
A small isolated town in Colombia is home to a large cluster of people with fragile X syndrome—a genetic disorder that leads to intellectual disability, physical abnormalities, and sometimes autism. Spectrum staff reporter Hannah Furfaro joins host Sarah Crespi to discuss the history of fragile X in the town of Ricaurte and the future of the people who live there. Also this week, we talk about greening up grass. Lawns of green grass pervade urban areas all around the world, regardless of climate, but the cost of maintaining them may outweigh their benefits. Host Meagan Cantwell talks with Maria Ignatieva of The University of Western Australia in Perth and the Swedish University of Agricultural Sciences in Uppsala about how lawns can be transformed to contribute to a more sustainable future. This week’s episode was edited by Podigy. Download a transcript of this episode (PDF) Listen to previous podcasts. About the Science Podcast [Image: Adam Kerfoot-Roberts/Flickr; Music: Jeffrey Cook]
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A deep learning approach to identify association of disease–gene using information of disease symptoms and protein sequences
Anal. Methods, 2020, 12,2016-2026
DOI: 10.1039/C9AY02333J, Paper
DOI: 10.1039/C9AY02333J, Paper
Xingyu Chen, Qixing Huang, Yang Wang, Jinlong Li, Haiyan Liu, Yun Xie, Zong Dai, Xiaoyong Zou, Zhanchao Li
Prediction of disease–gene association based on a deep convolutional neural network.
The content of this RSS Feed (c) The Royal Society of Chemistry
Prediction of disease–gene association based on a deep convolutional neural network.
The content of this RSS Feed (c) The Royal Society of Chemistry
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Learning Regression Analysis by Simulation [electronic resource] / by Kunio Takezawa
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Machine learning for signal processing : data science, algorithms, and computational statistics / Max A. Little
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Handbook of research on machine and deep learning applications for cyber security / [edited by] Padmavathi Ganapathi and D. Shanmugapriya
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