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Deep learning-enabled detection of rare circulating tumor cell clusters in whole blood using label-free, flow cytometry

Lab Chip, 2024, 24,2237-2252
DOI: 10.1039/D3LC00694H, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Nilay Vora, Prashant Shekar, Taras Hanulia, Michael Esmail, Abani Patra, Irene Georgakoudi
We present a deep-learning enabled, label-free flow cytometry platform for identifying circulating tumor cell clusters in whole blood based on the endogenous scattering detected at three wavelengths. The method has potential for in vivo translation.
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A prediction model for CO2/CO adsorption performance on binary alloys based on machine learning

RSC Adv., 2024, 14,12235-12246
DOI: 10.1039/D4RA00710G, Paper
Open Access
Xiaofeng Cao, Wenjia Luo, Huimin Liu
Machine-learning models were constructed to accurately predict CO2 and CO adsorption affinity on a wide range of binary alloying.
The content of this RSS Feed (c) The Royal Society of Chemistry




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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




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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




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With no stable income, their earnings have bolted

Covid-19 has meant no tourists or joy rides at the Ridge in Shimla, leaving horse owners in penury




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Interpretable machining learning assisted insights into bifunctional squaramide catalyzed ring-opening polymerization of lactide

Polym. Chem., 2024, 15,4562-4569
DOI: 10.1039/D4PY00866A, Paper
Shaoju Cao, Mengting Hong, Junyuan Hu, Zhenjiang Li, Jin Huang, Kai Guo
A bifunctional squaramide catalyst with tunable activity enables the controlled ring-opening polymerization of lactide. Combining bench experiments and interpretable machine learning offer insights into catalyst structures, promoting catalyst design.
The content of this RSS Feed (c) The Royal Society of Chemistry




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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




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'I am not going inside Bigg Boss to earn fame'

'I am not someone who will take things from people for no fault of mine. I will make it a point to voice my opinions. But if I am at fault, I will also apologise.' Hina Khan puts on her game face for Bigg Boss 11.





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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




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Machine-learning-accelerated structure prediction of PtSnO nanoclusters under working conditions

Phys. Chem. Chem. Phys., 2024, 26,27624-27632
DOI: 10.1039/D4CP03769C, Paper
Fanke Zeng, Wanglai Cen
Credible property calculations based on the structure prediction of multi-component catalyst clusters under working conditions via a machine-learning-accelerated genetic algorithm and ab initio thermodynamics approach.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Hydrogen bond network structures of protonated 2,2,2-trifluoroethanol/ethanol mixed clusters probed by infrared spectroscopy combined with a deep-learning structure sampling approach: the origin of the linear type network preference in protonated fluoroal

Phys. Chem. Chem. Phys., 2024, 26,27751-27762
DOI: 10.1039/D4CP03534H, Paper
Po-Jen Hsu, Atsuya Mizuide, Jer-Lai Kuo, Asuka Fujii
Infrared spectroscopy combined with a deep-learning structure sampling approach reveals the origin of the unusual structure preference in protonated fluorinated alcohol clusters.
The content of this RSS Feed (c) The Royal Society of Chemistry




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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




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Lando Norris earns 1st career F1 victory by ending Verstappen's dominance at Miami

Lando Norris needed 110 starts and a mistake by Max Verstappen to earn his first ever Formula 1 race and end Verstappen’s dominance at the Miami Grand Prix




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In the age of e-learning

With advancing technology, the process of teaching and learning is also undergoing radical change.




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Some learning, some fun




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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




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Ahead of 2023, here are five stories that prove it’s never too late to learn something new

These people could inspire you to take up a hobby or learn a skill this New Year, no matter how old you are



  • Life & Style

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Five things I’ve learnt from TV ads




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Managing to learn [electronic resource] / Sabrin A. Beg, Anne E. Fitzpatrick, Adrienne Lucas

Cambridge, Mass. : National Bureau of Economic Research, 2023




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Will Singham Again Earn 300 Cr Plus?

With the Ramayana as the central element, the coming together of Ajay Devgn, Akshay Kumar, Ranveer Singh and Tiger Shroff along with Kareena Kapoor and Deepika Padukone upped the superstar quotient further.




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Lessons to be learnt on the march to net zero

A World Resources Institute paper presents five case studies that are worthy of replication




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Teach and learn

Rinki’s mother worried about her daughter not revising her lessons. But Mother knew how to get her to study and have fun at the same time.




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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




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Covid lessons learned? U.N. summit mulls plan for healthy planet, and humans

At the U.N. summit in Cali, delegates are working on a “biodiversity and health action plan” proposed for adoption by the 196 member nations of the Convention on Biological Diversity




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Learning to live with competition

One does not have to run the rat race; there are other ways to handle corporate life




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Risk Management: Learning to tackle operational surprises

Knowing what can go wrong is key to getting things done right




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Rethinking writing instruction in the age of AI [electronic resource]: a universal design for learning approach Randy Laist ; with contributions from Nicole Brewer, Cynthia J. Murphy, and Dana Sheehan

Lynnfield, Massachusetts CAST [2024]




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Decolonial underground pedagogy [electronic resource] : unschooling and subcultural learning for peace and human rights / Noah Romero.

London : Bloomsbury Academic, 2024.




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Outdoor learning in higher education [electronic resource] : educating beyond the seminar room / edited by Wendy Garnham and Paolo Oprandi.

Abingdon, Oxon ; New York, NY : Routledge , 2025.




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Postdigital learning spaces [electronic resource] : towards convivial, equitable, and sustainable spaces for learning / James Lamb, Lucila Carvalho, editors.

Cham, Switzerland : Springer Nature, 2024.




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Lenovo launches ‘Lenovo Aware’ smart learning solution for consumers

Will come pre-bundled with IdeaPad Slim 3i and IdeaPad Slim 5i laptops




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The biomimicry revolution : learning from nature how to inhabit the earth / Henry Dicks.

New York : Columbia University Press, [2023]




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Learning support : a guide for mature students / Elizabeth Hoult.

London : SAGE Publications, 2006.




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Teaching study skills and supporting learning / Stella Cottrell.

Basingstoke : Palgrave, 2001.




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Dancing in the glory of monsters : the collapse of the Congo and the great war of Africa / Jason K. Stearns.

New York : PublicAffairs, 2011.




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Keyu Jin: What The World Can Learn From Chinese Innovation

The world once looked down on Chinese tech – seeing it as a copycat ecosystem. That was once true; but while the world sneered, China was catching up: China now has the fastest supercomputer in the world, a digital payments market 50 per cent larger than that of the US, and the biggest issuer of new international patents. Seven of the top ten unicorns are Chinese. Keyu Jin, a professor, London School of Economics, is researching globalisation and the Chinese economy, focusing on bridging western capital and a new breed of fastgrowing Chinese technology companies. ABOUT WIRED SMARTER Experts and business leaders from the worlds of Energy, Money and Retail gathered at Kings Place, London, for WIRED Smarter on October 9, 2018. Discover some of the fascinating insights from speakers here: http://wired.uk/V29vMg ABOUT WIRED EVENTS WIRED events shine a spotlight on the innovators, inventors and entrepreneurs who are changing our world for the better. Explore this channel for videos showing on-stage talks, behind-the-scenes action, exclusive interviews and performances from our roster of events. Join us as we uncover the most relevant, up-and-coming trends and meet the people building the future. ABOUT WIRED WIRED brings you the future as it happens - the people, the trends, the big ideas that will change our lives. An award-winning printed monthly and online publication. WIRED is an agenda-setting magazine offering brain food on a wide range of topics, from science, technology and business to pop-culture and politics. CONNECT WITH WIRED Web: http://po.st/WiredVideo Twitter: http://po.st/TwitterWired Facebook: http://po.st/FacebookWired Google+: http://po.st/GoogleWired Instagram: http://po.st/InstagramWired Magazine: http://po.st/MagazineWired Newsletter: http://po.st/NewslettersWired




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Marcus du Sautoy's The Creativity Code: How AI is learning to write, paint and think

Simonyi professor and mathematician Marcus du Sautoy’s new book, The Creativity Code, explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human. In this engaging video, Marcus talks about using a definition from cognitive scientist Margaret Boden, claiming that creative acts must be novel, surprising and with value. According to du Sautoy, all three of these traits were present when AlphaGo – an AI trained to play the ancient game of Go – made a particularly unique and important move against world champion Lee Sedol in the second game of their match. ABOUT WIRED PULSE: AI AT THE BARBICAN 450 business executives, technologists and enthusiasts gathered at The Barbican Centre’s Concert Hall in London, for WIRED Pulse: AI at the Barbican on June 15, 2019. Discover some of the fascinating insights from speakers here: http://wired.uk/ai-event ABOUT WIRED PULSE AND WIRED EVENTS The WIRED Pulse series offers an engaging, top-level perspective on how disruptive technology and fast-changing industries - such as artificial intelligence, deep tech and health - are impacting the human experience. The aim is to distill the most pertinent strands of themes within each complex topic and to share it with the wider public as a thought-provoking conversation-starter. WIRED events shine a spotlight on the innovators, inventors and entrepreneurs who are changing our world for the better. Explore this channel for videos showing on-stage talks, behind-the-scenes action, exclusive interviews and performances from our roster of events. Join us as we uncover the most relevant, up-and-coming trends and meet the people building the future. ABOUT WIRED WIRED brings you the future as it happens - the people, the trends, the big ideas that will change our lives. An award-winning printed monthly and online publication. WIRED is an agenda-setting magazine offering brain food on a wide range of topics, from science, technology and business to pop-culture and politics. CONNECT WITH WIRED Events: http://wired.uk/events Web: http://po.st/WiredVideo Twitter: http://po.st/TwitterWired Facebook: http://po.st/FacebookWired Google+: http://po.st/GoogleWired Instagram: http://po.st/InstagramWired Magazine: http://po.st/MagazineWired Newsletter: http://po.st/NewslettersWired




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Learn to Fold the 'Phoenix' Paper Airplane

John Collins, also known as 'The Paper Airplane Guy,' teaches us how to fold and fly our very own "Phoenix" paper airplane. The Phoenix is a broader wing glider than the classic 'dart' and not too much more difficult to make. All you'll need for this design is a piece of paper and your hands.




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Learn to Fold the 'Tube' Paper Airplane

John Collins, also known as 'The Paper Airplane Guy,' teaches us how to fold and fly our very own "Tube" paper airplane. The Tube doesn't look like much, but it can certainly fly!




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Learn to Fold the 'Canard' Paper Airplane

John Collins, also known as 'The Paper Airplane Guy,' teaches us how to fold and fly our very own "Canard" paper airplane.




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Learn to Fold the World's Best Paper Airplane

John Collins, also known as 'The Paper Airplane Guy,' teaches us how to fold and fly our very own version of his "world record" paper airplane. John attempts to make the greatest paper airplane on the planet, and takes us along for the ride.




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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.




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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.




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5 Steps to Creating Learner-Centered Content on Social Media

Think about learning. We all experience learning differently. Most of us took part in one or other forms of formal education — took a course, went to university or even attended a workshop. More often than not, we associate learning experiences with these formal settings. However, that’s not always the case; learning occurs throughout one’s life and well beyond the classroom.

In a world where social media is becoming part of our lives, it’s more relevant than ever to explore its potential as a learning and teaching tool. Research shows that social media and mobile devices can support learning and create a positive impact on both educators and learners.




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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




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Development and application of Few-shot learning methods in materials science under data scarcity

J. Mater. Chem. A, 2024, 12,30249-30268
DOI: 10.1039/D4TA06452F, Review Article
Yongxing Chen, Peng Long, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining Ji
Machine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data.
The content of this RSS Feed (c) The Royal Society of Chemistry




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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




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India Inc. Q3: Resilient earnings

Here are four charts depicting trends witnessed in Q3FY24




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Director Sai Rajesh: ‘Baby’ has been a learning experience; henceforth I will be more cautious in my writing

Sai Rajesh, the writer-director of the Telugu romantic drama ‘Baby’ that has been eliciting extreme responses, says he did not intend to make a toxic film