e learning

Correction: Photocatalytic degradation of drugs and dyes using a machine learning approach

RSC Adv., 2024, 14,12983-12983
DOI: 10.1039/D4RA90045F, Correction
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Ganesan Anandhi, M. Iyapparaja
The content of this RSS Feed (c) The Royal Society of Chemistry




e learning

ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction

RSC Adv., 2024, 14,13083-13094
DOI: 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. Ecker
Predict 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




e learning

Machine Learning-Assisted Pattern Recognition and Imaging of Multiplexed Cancer Cells via Porphyrin-Embedded Dendrimer Array

J. Mater. Chem. B, 2024, Accepted Manuscript
DOI: 10.1039/D4TB01861C, Paper
Jiabao Hu, Weiwei Ni, Mengting Han, Yunzhen Zhan, Fei Li, Hui Huang, Jinsong Han
Early 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




e learning

Liquid saliva-based Raman spectroscopy device with on-board machine learning detects COVID-19 infection in real-time

Analyst, 2024, 149,5535-5545
DOI: 10.1039/D4AN00729H, Paper
Open Access
Katherine J. I. Ember, Nassim Ksantini, Frédérick Dallaire, Guillaume Sheehy, Trang Tran, Mathieu Dehaes, Madeleine Durand, Dominique Trudel, Frédéric Leblond
Raman 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




e learning

Deciphering nonlinear optical properties in functionalized hexaphyrins via explainable machine learning

Phys. Chem. Chem. Phys., 2024, Advance Article
DOI: 10.1039/D4CP03303E, Paper
Eline Desmedt, Michiel Jacobs, Mercedes Alonso, Freija De Vleeschouwer
The 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




e learning

Some learning, some fun




e learning

Machine Learning Directed Discovery and Optimisation of a Platinum-Catalysed Amide Reduction

Chem. Commun., 2024, Accepted Manuscript
DOI: 10.1039/D4CC05273K, Communication
Open Access
Eleonora Casillo, Benon Maliszewski, Cesar Blanco, Thomas Scattolin, Catherine Cazin, Steven P Nolan
The 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




e learning

Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach

Org. Biomol. Chem., 2024, Advance Article
DOI: 10.1039/D4OB00408F, Paper
Open Access
Yuya Tsutsui, Issei Yanaka, Kazuhiro Takeda, Masaru Kondo, Shinobu Takizawa, Ryosuke Kojima, Akihito Konishi, Makoto Yasuda
Exploration 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




e learning

Computer Scientist Explains Machine Learning in 5 Levels of Difficulty

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.




e learning

Dilwale digital le jayenge – the smart future of online learning

Welcome to the fast and furious world of online learning in India, where education meets the digital age with a dash of chutney.




e learning

Machine learning for deconstructing contributions of atomic characterizations to achieve hybridization-determined electron transfer in a perovskite catalyst

J. Mater. Chem. A, 2024, 12,30722-30728
DOI: 10.1039/D4TA05018E, Paper
Jun Zhu, Mengdan Song, Qiling Qian, Yang Yue, Guangren Qian, Jia Zhang
Machine 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




e learning

Machine learning aided design of high performance copper-based sulfide photocathodes

J. Mater. Chem. A, 2024, Advance Article
DOI: 10.1039/D4TA06128D, Paper
Yuxi Cao, Kaijie Shen, Yuanfei Li, Fumei Lan, Zeyu Guo, Kelu Zhang, Kang Wang, Feng Jiang
With 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




e learning

Online and offline learning using fading memory functions in HfSiOx-based ferroelectric tunnel junctions

J. Mater. Chem. C, 2024, 12,17362-17376
DOI: 10.1039/D4TC03397C, Communication
Jungwoo Lee, Chaewon Youn, Jungang Heo, Sungjun Kim
We 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




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

Mater. Horiz., 2024, 11,1719-1731
DOI: 10.1039/D3MH02115G, Communication
Liang Xie, Wei Zhou, Yuming Huang, Zhibin Qu, Longhao Li, Chaowei Yang, Yani Ding, Junfeng Li, Xiaoxiao Meng, Fei Sun, Jihui Gao, Guangbo Zhao, Yukun Qin
While 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




e learning

Exploring negative thermal expansion materials with bulk framework structures and their relevant scaling relationships through multi-step machine learning

Mater. Horiz., 2024, Advance Article
DOI: 10.1039/D3MH01509B, Communication
Yu Cai, Chunyan Wang, Huanli Yuan, Yuan Guo, Jun-Hyung Cho, Xianran Xing, Yu Jia
We 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




e learning

Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium [electronic journal].




e learning

Predictably Unequal? The Effects of Machine Learning on Credit Markets [electronic journal].




e learning

Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence [electronic journal].




e learning

Immersive Learning Research Network (iLRN), Conference of the [electronic journal].

IEEE / Institute of Electrical and Electronics Engineers Incorporated




e learning

How do machine learning and non-traditional data affect credit scoring? New evidence from a Chinese fintech firm [electronic journal].




e learning

Distance Learning in Higher Education: Evidence from a Randomized Experiment [electronic journal].




e learning

Building(s and) cities: Delineating urban areas with a machine learning algorithm [electronic journal].




e learning

2020 6th International Conference of the Immersive Learning Research Network (iLRN) [electronic journal].

IEEE / Institute of Electrical and Electronics Engineers Incorporated




e learning

Morphology of Lithium Halides in Tetrahydrofuran from Molecular Dynamics with Machine Learning Potentials

Chem. Sci., 2024, Accepted Manuscript
DOI: 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 Cascella
The 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




e learning

Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures

Lab Chip, 2024, Advance Article
DOI: 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 Zorlutuna
Rapid 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




e learning

Self-assembly of amphiphilic homopolymers grafted onto spherical nanoparticles: complete embedded minimal surfaces and a machine learning algorithm for their recognition

Soft Matter, 2024, 20,8385-8394
DOI: 10.1039/D4SM00616J, Paper
D. A. Mitkovskiy, A. A. Lazutin, A. L. Talis, V. V. Vasilevskaya
Amphiphilic 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




e learning

How simulation using AR, VR can facilitate learning

Simulations in education, from earth-sun-moon system to antimicrobial resistance, enhance learning through interactive virtual experiences.




e learning

Distance Learning Council Meeting

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.





e learning

What are the learnings from board games?

Board games that teach financial and economic concepts, and skills such as resource management and decision-making are now becoming popular




e learning

Harvestec launches online learning platform for rice milling, bulk storage technology

The subjects are rarely discussed and have great potential, says its MD Munishwar Vasudeva




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

Energy Environ. Sci., 2024, 17,8954-8965
DOI: 10.1039/D4EE03168G, Paper
Yu Cui, Qunping Fan, Hao Feng, Tao Li, Dmitry Yu. Paraschuk, Wei Ma, Han Yan
Interpretable 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




e learning

Language learning should not be imposed, says Venkaiah Naidu




e learning

Distance learning works for JEE too

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.




e learning

Accelerated design of nickel-cobalt based catalysts for CO2 hydrogenation with human-in-the-loop active machine learning

Catal. Sci. Technol., 2024, 14,6307-6320
DOI: 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 Züttel
The 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




e learning

Effect of graphene electrode functionalization on machine learning-aided single nucleotide classification

Nanoscale, 2024, 16,20202-20215
DOI: 10.1039/D4NR02274B, Paper
Mohd Rashid, Milan Kumar Jena, Sneha Mittal, Biswarup Pathak
In 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




e learning

Enhancing antioxidant properties of CeO2 nanoparticles with Nd3+ doping: structural, biological, and machine learning insights

Biomater. Sci., 2024, 12,2108-2120
DOI: 10.1039/D3BM02107F, Paper
Oscar 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-Mena
The 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




e learning

AI and machine learning to be top job roles in India: WEF report




e learning

Verge Genomics raises $32 million for machine learning-backed neuroscience drug discovery





e learning

Feds Invest $10 Million Into Research for Severe Learning Disabilities

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.




e learning

Schools scramble to embrace online learning

It has exposed the huge economic disparities in homes that enhance social inequalities.




e learning

5 Ways In Which Mobile Learning Helps To Engage During Virtual Training

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.





e learning

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...




e learning

OECD Skills Strategy Spotlight - Better Skills, Better Jobs, Better Lives 03: Apprenticeships and Workplace Learning

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.




e learning

Easing the learning journey for immigrant students (OECD Education Today Blog)

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.




e learning

Why should we improve learning opportunities for young kids (OECD Education Today Blog)

More than hundred years ago, nations that are now members of the OECD introduced legislation to set the age compulsory education.




e learning

Empowering teachers to improve equity and inspire learning (OECD Education Today Blog)

The expectations for teachers are high and rising each day.




e learning

Empowering teachers to improve equity and inspire learning (OECD Education Today Blog)

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.




e learning

PISA in Focus No. 73 - Do students spend enough time learning?

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.