e learning Correction: Photocatalytic degradation of drugs and dyes using a machine learning approach By pubs.rsc.org Published On :: RSC Adv., 2024, 14,12983-12983DOI: 10.1039/D4RA90045F, Correction Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Ganesan Anandhi, M. IyapparajaThe content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction By pubs.rsc.org Published On :: RSC Adv., 2024, 14,13083-13094DOI: 10.1039/D4RA00748D, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Jiahui Huang, Tanja Osthushenrich, Aidan MacNamara, Anders Mälarstig, Silvia Brocchetti, Samuel Bradberry, Lia Scarabottolo, Evandro Ferrada, Sergey Sosnin, Daniela Digles, Giulio Superti-Furga, Gerhard F. EckerPredict SLC6 mutation clinical pathogenicity by calculating the amino acid descriptors in different ranges with rationalization analysis of the prediction.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Machine Learning-Assisted Pattern Recognition and Imaging of Multiplexed Cancer Cells via Porphyrin-Embedded Dendrimer Array By pubs.rsc.org Published On :: J. Mater. Chem. B, 2024, Accepted ManuscriptDOI: 10.1039/D4TB01861C, PaperJiabao Hu, Weiwei Ni, Mengting Han, Yunzhen Zhan, Fei Li, Hui Huang, Jinsong HanEarly cancer detection plays a vital role in improving the survival rate of cancer patients, underscoring the importance of developing cancer detecting methods. However, it is of great challenge to...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time By pubs.rsc.org Published On :: Analyst, 2024, 149,5535-5545DOI: 10.1039/D4AN00729H, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Katherine J. I. Ember, Nassim Ksantini, Frédérick Dallaire, Guillaume Sheehy, Trang Tran, Mathieu Dehaes, Madeleine Durand, Dominique Trudel, Frédéric LeblondRaman spectroscopy and machine learning is used in combination to detect COVID-19 positive saliva in liquid form.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Deciphering nonlinear optical properties in functionalized hexaphyrins via explainable machine learning By pubs.rsc.org Published On :: Phys. Chem. Chem. Phys., 2024, Advance ArticleDOI: 10.1039/D4CP03303E, PaperEline Desmedt, Michiel Jacobs, Mercedes Alonso, Freija De VleeschouwerThe NLO response of hexaphyrins is traced back to its driving forces using kernel ridge regression and explainable machine learning. Orbital and charge-transfer based features play a key role, as opposed to aromaticity and geometrical descriptors.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 Full Article
e learning Some learning, some fun By www.thehindu.com Published On :: Wed, 17 Feb 2016 15:51:05 +0530 Full Article Metroplus
e learning Machine Learning Directed Discovery and Optimisation of a Platinum-Catalysed Amide Reduction By pubs.rsc.org Published On :: Chem. Commun., 2024, Accepted ManuscriptDOI: 10.1039/D4CC05273K, Communication Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Eleonora Casillo, Benon Maliszewski, Cesar Blanco, Thomas Scattolin, Catherine Cazin, Steven P NolanThe discovery and optimisation of reaction conditions leading to the reduction of amides, a fundamental large-scale industrial reaction, is achieved using a machine learning (ML) platform and a platinum catalyst....The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach By pubs.rsc.org Published On :: Org. Biomol. Chem., 2024, Advance ArticleDOI: 10.1039/D4OB00408F, Paper Open Access   This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Yuya Tsutsui, Issei Yanaka, Kazuhiro Takeda, Masaru Kondo, Shinobu Takizawa, Ryosuke Kojima, Akihito Konishi, Makoto YasudaExploration of a Lewis acid with high selectivity for hydrocarbon moieties is assisted by a machine learning approach. Molecular polarizability is an essential factor, leading to design guidelines for Lewis acid catalysts with dispersion forces.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 Full Article
e learning Computer Scientist Explains Machine Learning in 5 Levels of Difficulty By www.wired.com Published On :: Wed, 18 Aug 2021 16:00:00 +0000 WIRED has challenged computer scientist and Hidden Door cofounder and CEO Hilary Mason to explain machine learning to 5 different people; a child, teen, a college student, a grad student and an expert. Full Article
e learning Dilwale digital le jayenge – the smart future of online learning By www.thehindubusinessline.com Published On :: Sun, 04 Aug 2024 11:13:00 +0530 Welcome to the fast and furious world of online learning in India, where education meets the digital age with a dash of chutney. Full Article Marketing
e learning Machine learning for deconstructing contributions of atomic characterizations to achieve hybridization-determined electron transfer in a perovskite catalyst By pubs.rsc.org Published On :: J. Mater. Chem. A, 2024, 12,30722-30728DOI: 10.1039/D4TA05018E, PaperJun Zhu, Mengdan Song, Qiling Qian, Yang Yue, Guangren Qian, Jia ZhangMachine learning deconstructed the atomic contribution of a perovskite to catalytic toluene decomposition and found that wider hybridization resulted in smaller impedance, faster electron transfer speed, and enhanced catalytic activity.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Machine learning aided design of high performance copper-based sulfide photocathodes By pubs.rsc.org Published On :: J. Mater. Chem. A, 2024, Advance ArticleDOI: 10.1039/D4TA06128D, PaperYuxi Cao, Kaijie Shen, Yuanfei Li, Fumei Lan, Zeyu Guo, Kelu Zhang, Kang Wang, Feng JiangWith the help of machine learning algorithms, we developed software that can predict the performance of copper-based sulfide photocathodes and this system shows excellent accuracy of up to 96%.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 Full Article
e learning Online and offline learning using fading memory functions in HfSiOx-based ferroelectric tunnel junctions By pubs.rsc.org Published On :: J. Mater. Chem. C, 2024, 12,17362-17376DOI: 10.1039/D4TC03397C, CommunicationJungwoo Lee, Chaewon Youn, Jungang Heo, Sungjun KimWe demonstrate online and offline learning as well as associative learning such as in Pavlov's dog experiments using the non-volatile and volatile properties of HfSiOx-based FTJs.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Elucidating the impact of oxygen functional groups on the catalytic activity of M–N4–C catalysts for the oxygen reduction reaction: a density functional theory and machine learning approach By pubs.rsc.org Published On :: Mater. Horiz., 2024, 11,1719-1731DOI: 10.1039/D3MH02115G, CommunicationLiang Xie, Wei Zhou, Yuming Huang, Zhibin Qu, Longhao Li, Chaowei Yang, Yani Ding, Junfeng Li, Xiaoxiao Meng, Fei Sun, Jihui Gao, Guangbo Zhao, Yukun QinWhile current experimental and computational studies often concentrate on introducing external structures or idealized MN4 models, we emphasize the often-overlooked impact of inherent OGs within the carbon structure of MN4 materials, presenting a new perspective on their catalytic activity origin.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Exploring negative thermal expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning By pubs.rsc.org Published On :: Mater. Horiz., 2024, Advance ArticleDOI: 10.1039/D3MH01509B, CommunicationYu Cai, Chunyan Wang, Huanli Yuan, Yuan Guo, Jun-Hyung Cho, Xianran Xing, Yu JiaWe uses the multi-step ML method to mine 1000 potential NTE materials from ICSD, MPD and COD databases, and the presented phase diagram can serve as a preliminary criterion for judging and designing new NTE materials.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 Full Article
e learning Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
e learning Predictably Unequal? The Effects of Machine Learning on Credit Markets [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
e learning Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
e learning Immersive Learning Research Network (iLRN), Conference of the [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
e learning Distance Learning in Higher Education: Evidence from a Randomized Experiment [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
e learning Building(s and) cities: Delineating urban areas with a machine learning algorithm [electronic journal]. By encore.st-andrews.ac.uk Published On :: Full Article
e learning 2020 6th International Conference of the Immersive Learning Research Network (iLRN) [electronic journal]. By encore.st-andrews.ac.uk Published On :: IEEE / Institute of Electrical and Electronics Engineers Incorporated Full Article
e learning Morphology of Lithium Halides in Tetrahydrofuran from Molecular Dynamics with Machine Learning Potentials By pubs.rsc.org Published On :: Chem. Sci., 2024, Accepted ManuscriptDOI: 10.1039/D4SC04957H, Edge Article Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Marinella de Giovanetti, Sondre H. Hopen Eliasson, Sigbjørn L. Bore, Odile Eisenstein, Michele CascellaThe preferred structures of lithium halides (LiX, with X = Cl, Br, I) in organic solvents have been the subject of a wide scientific debate, and a large variety of...The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures By pubs.rsc.org Published On :: Lab Chip, 2024, Advance ArticleDOI: 10.1039/D4LC00640B, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Xiang Ren, Ruyu Zhou, George Ronan, S. Gulberk Ozcebe, Jiaying Ji, Satyajyoti Senapati, Keith L. March, Eileen Handberg, David Anderson, Carl J. Pepine, Hsueh-Chia Chang, Fang Liu, Pinar ZorlutunaRapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management.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 Full Article
e learning Self-assembly of amphiphilic homopolymers grafted onto spherical nanoparticles: complete embedded minimal surfaces and a machine learning algorithm for their recognition By pubs.rsc.org Published On :: Soft Matter, 2024, 20,8385-8394DOI: 10.1039/D4SM00616J, PaperD. A. Mitkovskiy, A. A. Lazutin, A. L. Talis, V. V. VasilevskayaAmphiphilic macromolecules grafted onto spherical nanoparticles can self-assemble into morphological structures corresponding to the family of complete embedded minimal surfaces. They arise situationally, can coexist and transform into each other.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning How simulation using AR, VR can facilitate learning By www.thehindu.com Published On :: Tue, 29 Oct 2024 06:30:00 +0530 Simulations in education, from earth-sun-moon system to antimicrobial resistance, enhance learning through interactive virtual experiences. Full Article Education
e learning Distance Learning Council Meeting By marstonscience.blogspot.com Published On :: Wed, 02 Jan 2008 15:45:00 +0000 At the last DLC meeting Becky Williams, an instructional designer with CITT, gave a presentation on CMS software issues and spoke about open source (such as SAKAI) vs. Vendor (WebCT/Blackboard) products and a new software system for teacher grading, called SWoRD. Here is a synopsis of what she presented, and feel free to take a look at her ppt for more information: (http://plaza.ufl.edu/rjwillia/swordtalk%20-%20learning%20consort-oct07.ppt).The first four slides are about CMS vendors vs. open source:A growing disillusionment with vendor products has many Universities moving or considering moving to Sakai (the most popular open source system available). WebCT and Bb have left many unaddressed issues, and they require universities to pay for upgrades or extensions if something does not work. Moving a CMS to open source has its own issues, but that the vendor situation is so aggravating more universities are considering it as an option. I thought these issues sounded familiar to our LMS experiences - I'll be interested in seeing where the CMS discussion goes.Slide 5 through 42 are about a new, free software called SWoRD. In large classes, professors assign fewer papers as writing assignments due to the difficulty of grading a large number of papers. Despite writing less, student grades are higher and students feel they are good writers; and, yet, teaching faculty don't agree. SWoRD is a system by which papers are automatically assigned to other student writers, for peer-review. Each student peer-reviews 5 papers. Ms. Williams had evidence supporting the value of multiple peer reviewing of a paper; it is much more useful for a student to have 3 peers review their paper than it is for one student or one professor to review the paper. Read the slides if you are interesting in learning more. Currently the software is free, although Ms. Williams thought that would most likely change.This meeting was held in the Digital Worlds Building at Norman and included a digital tour of the Gator Nation Island in Second Life. Someone at the meeting mentioned that the Libraries were holding reference hours within SL, which Laura Jordan was able to speak to. Full Article
e learning What are the learnings from board games? By www.thehindubusinessline.com Published On :: Sun, 02 Sep 2018 16:56:12 +0530 Board games that teach financial and economic concepts, and skills such as resource management and decision-making are now becoming popular Full Article People
e learning Harvestec launches online learning platform for rice milling, bulk storage technology By www.thehindubusinessline.com Published On :: Tue, 15 Oct 2024 18:55:32 +0530 The subjects are rarely discussed and have great potential, says its MD Munishwar Vasudeva Full Article Agri Business
e learning Towards efficient and stable organic solar cells: fixing the morphology problem in block copolymer active layers with synergistic strategies supported by interpretable machine learning By pubs.rsc.org Published On :: Energy Environ. Sci., 2024, 17,8954-8965DOI: 10.1039/D4EE03168G, PaperYu Cui, Qunping Fan, Hao Feng, Tao Li, Dmitry Yu. Paraschuk, Wei Ma, Han YanInterpretable machine learning identifies the causal structure–property relationships and key control factors in block copolymer organic solar cells with excellent power conversion efficiency and thermal stability.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Language learning should not be imposed, says Venkaiah Naidu By www.thehindu.com Published On :: Wed, 13 Nov 2024 00:29:46 +0530 Full Article Tamil Nadu
e learning Distance learning works for JEE too By www.thehindu.com Published On :: Sun, 17 Jul 2016 17:00:54 +0530 Attending a coaching class is not the only way to obtain a good score. Tips to keep in mind while preparing for it from home. Full Article Education Plus
e learning Accelerated design of nickel-cobalt based catalysts for CO2 hydrogenation with human-in-the-loop active machine learning By pubs.rsc.org Published On :: Catal. Sci. Technol., 2024, 14,6307-6320DOI: 10.1039/D4CY00873A, Paper Open Access   This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.Yasemen Kuddusi, Maarten R. Dobbelaere, Kevin M. Van Geem, Andreas ZüttelThe effect of catalyst synthesis and reaction conditions on catalytic activity were accurately predicted with an interpretable data-driven strategy. The method is demonstrated for CO2 methanation and is extendable to other catalytic processes.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Effect of graphene electrode functionalization on machine learning-aided single nucleotide classification By pubs.rsc.org Published On :: Nanoscale, 2024, 16,20202-20215DOI: 10.1039/D4NR02274B, PaperMohd Rashid, Milan Kumar Jena, Sneha Mittal, Biswarup PathakIn this study, we explored the role of functionalized entities (C, H, N, and OH) in graphene electrodes using a machine learning (ML) framework integrated with the quantum transport method to achieve precise single DNA nucleotide identification.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning Enhancing antioxidant properties of CeO2 nanoparticles with Nd3+ doping: structural, biological, and machine learning insights By pubs.rsc.org Published On :: Biomater. Sci., 2024, 12,2108-2120DOI: 10.1039/D3BM02107F, PaperOscar Ceballos-Sanchez, Diego E. Navarro-López, Jorge L. Mejía-Méndez, Gildardo Sanchez-Ante, Vicente Rodríguez-González, Angélica Lizeth Sánchez-López, Araceli Sanchez-Martinez, Sergio M. Duron-Torres, Karla Juarez-Moreno, Naveen Tiwari, Edgar R. López-MenaThe antioxidant capabilities of nanoparticles are contingent upon various factors, including their shape, size, and chemical composition.The content of this RSS Feed (c) The Royal Society of Chemistry Full Article
e learning AI and machine learning to be top job roles in India: WEF report By www.thehindu.com Published On :: Thu, 11 May 2023 12:52:17 +0530 Full Article Shorts
e learning Verge Genomics raises $32 million for machine learning-backed neuroscience drug discovery By cen.acs.org Published On :: 20 Jul 2018 16:15:23 +0000 Full Article
e learning ScOPTbox - practice learning library By www.iriss.org.uk Published On :: Mon, 07 Dec 2015 14:56:15 +0000 Full Article Webwatch practice learning Institute for Research and Innovation in Social Services (IRISS) practice teaching
e learning Feds Invest $10 Million Into Research for Severe Learning Disabilities By feedproxy.google.com Published On :: Fri, 06 Sep 2013 00:00:00 +0000 The funding will establish a center at Vanderbilt University in Nashville, Tenn. that will focus on instructional strategies in reading and math for students with persistent learning struggles. Full Article Responsetointervention
e learning Schools scramble to embrace online learning By www.nation.co.ke Published On :: 2020-05-10T07:17:00Z It has exposed the huge economic disparities in homes that enhance social inequalities. Full Article
e learning 5 Ways In Which Mobile Learning Helps To Engage During Virtual Training By feedproxy.google.com Published On :: Sun, 10 May 2020 00:27:03 +0000 Virtual learning is effective in disseminating knowledge to learners. But, today, the requirement is not just to disseminate knowledge, but also to engage, retain and […] The post 5 Ways In Which Mobile Learning Helps To Engage During Virtual Training appeared first on e-Learning Feeds. Full Article eLearning News Learner Engagement Mobile Learning mobile learning benefits Virtual Learning Environment Virtual Reality Training Solution
e learning How Data-driven Personalized Learning is Propelling the Learning Industry Forward By feedproxy.google.com Published On :: Sun, 10 May 2020 05:26:03 +0000 - 5 MIN READ - The post How Data-driven Personalized Learning is Propelling the Learning Industry Forward appeared first on e-Learning Feeds. Full Article Educational Technology LMS analytics LMS trends
e learning About Distance Learning MBA Benefits By feedproxy.google.com Published On :: 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... Full Article
e learning OECD Skills Strategy Spotlight - Better Skills, Better Jobs, Better Lives 03: Apprenticeships and Workplace Learning By skills.oecd.org Published On :: Tue, 28 May 2013 10:20:00 GMT How do apprenticeships and other forms of workplace learning help people to make a successful transition from school to work? Global economic competition requires a labour force with a range of mid-level trade, technical and professional skills alongside the high-level skills typically associated with university education. Full Article
e learning Easing the learning journey for immigrant students (OECD Education Today Blog) By oecdeducationtoday.blogspot.fr Published On :: Thu, 09 Jul 2015 11:48:00 GMT Between 2003 and 2012, the percentage of students who were raised in immigrant families grew by around 3 percentage points across OECD countries. At the same time, as this month’s PISA in Focus notes, migration policies in some countries became increasingly selective while education outcomes in many countries of origin improved considerably. Full Article
e learning Why should we improve learning opportunities for young kids (OECD Education Today Blog) By oecdeducationtoday.blogspot.fr Published On :: Thu, 16 Jun 2016 11:17:00 GMT More than hundred years ago, nations that are now members of the OECD introduced legislation to set the age compulsory education. Full Article
e learning Empowering teachers to improve equity and inspire learning (OECD Education Today Blog) By oecdeducationtoday.blogspot.fr Published On :: Thu, 30 Mar 2017 12:07:00 GMT The expectations for teachers are high and rising each day. Full Article
e learning Empowering teachers to improve equity and inspire learning (OECD Education Today Blog) By oecdeducationtoday.blogspot.fr Published On :: Tue, 04 Apr 2017 09:33:00 GMT Every year in March, education ministers and union leaders of the highest-performing and most rapidly improving education systems (according to PISA) meet to seek ways to improve the status of the teaching profession. Many countries could use such guidance. Full Article
e learning PISA in Focus No. 73 - Do students spend enough time learning? By www.oecd-ilibrary.org Published On :: Tue, 20 Jun 2017 13:37:00 GMT In some countries and economies, such as Beijing-Shanghai-Jiangsu-Guangdong (China), Qatar,Thailand, Tunisia and the United Arab Emirates, students spend at least 54 hours per week learning at and outside of school combined, whereas in others, like Finland, Germany, Sweden, Switzerland and Uruguay, students spend less than 40 hours studying. Full Article