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Mechanical guidance to self-organization and pattern formation of stem cells

By pubs.rsc.org
Published On ::

Soft Matter, 2024, Advance Article
DOI: 10.1039/D4SM00172A, Paper
Wei-Hua Zhou, Lin-Ru Qiao, She-Juan Xie, Zhuo Chang, Xu Yin, Guang-Kui Xu
We introduce a mechanical model based on the dynamic balance between cell-ECM-culture environment, and demonstrate that it can capture specific phenomena in stem cell pattern formation experiments guided by geometric constraints.
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Avalanche properties at the yielding transition: from externally deformed glasses to active systems

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Published On ::

Soft Matter, 2024, Advance Article
DOI: 10.1039/D3SM01354E, Paper
Open Access
Carlos Villarroel, Gustavo Düring
We investigated the yielding phenomenon under different scenarios of deformation in the quasistatic limit using numerical simulations of soft particles.
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Dynamics and phase behavior of metallo-dielectric rod-shaped microswimmers driven by Alternating Current electric field

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Published On ::

Soft Matter, 2024, Accepted Manuscript
DOI: 10.1039/D4SM00206G, Paper
Suvendu Kumar Panda, Srikanta Debata, Nomaan Alam Kherani, Dhruv Pratap Singh
The ability to move and self-organize in response to external stimuli is a fascinating feature of living active matter. Here, the metallo-dielectric rod-shaped microswimmers are shown to have a similar...
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A versatile route for the fabrication of micro-patterned polylactic-acid (PLA)-based membranes with tailored morphology via breath figure imprinting

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Published On ::

Soft Matter, 2024, Advance Article
DOI: 10.1039/D4SM00107A, Paper
Rayane Akoumeh, Manale Noun, Deepalekshmi Ponnamma, Maryam Al-Ejji, Khadija M. Zadeh, Alaa H. Hawari, Kenan Song, Mohammad K. Hassan
Breath figure imprinting, based on surface instabilities combined with fast polymer evaporation in a humid environment, enables the creation of micro-patterned membranes with tailored pore sizes.
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A prediction model for CO2/CO adsorption performance on binary alloys based on machine learning

By pubs.rsc.org
Published On ::

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.
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Harnessing the power of natural deep eutectic solvents (choline chloride/sucrose) and polypropylene glycol in the formation of aqueous biphasic systems and the application of these systems in drug extraction

By pubs.rsc.org
Published On ::

RSC Adv., 2024, 14,12349-12359
DOI: 10.1039/D3RA07066B, Paper
Open Access
Fariba Ghaffari, Mohammed Taghi Zafarani-Moattar, Hemayat Shekaari
In recent times, there has been considerable interest in utilizing aqueous biphasic systems (ABSs) containing natural deep eutectic solvents (NADESs) for the extraction of various substances.
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Correction: Photocatalytic degradation of drugs and dyes using a machine learning approach

By pubs.rsc.org
Published On ::

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

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Published On ::

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.
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Effects of external light in the magnetic field-modulated photocatalytic reactions in a microfluidic chip reactor

By pubs.rsc.org
Published On ::

RSC Adv., 2024, 14,13053-13061
DOI: 10.1039/D4RA00415A, Paper
Open Access
Hung Ji Huang, Yen Han Wang, Xuan-Yu Shih, Sy-Hann Chen, Hai-Pang Chiang, Yuan-Fong Chou Chau, Jeffrey Chi-Sheng Wu
Mutual enhancement of plasmonic photocatalytic reaction by both magnetic field and plasmonic enhancement was presented through Au–TiO2 nanoparticles.
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Expression of concern: Facile route to synthesize Fe3O4@acacia–SO3H nanocomposite as a heterogeneous magnetic system for catalytic applications

By pubs.rsc.org
Published On ::

RSC Adv., 2024, 14,13016-13016
DOI: 10.1039/D4RA90043J, Expression of Concern
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Reza Taheri-Ledari, Mir Saeed Esmaeili, Zahra Varzi, Reza Eivazzadeh-Keihan, Ali Maleki, Ahmed Esmail Shalan
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Water carriers turn ‘waterpreneurs’

By www.thehindubusinessline.com
Published On :: Fri, 15 May 2020 15:53:06 +0530

Rural women in Telangana are spearheading a revolution led by the ‘water aunties’


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With no stable income, their earnings have bolted

By www.thehindubusinessline.com
Published On :: Fri, 26 Jun 2020 21:13:53 +0530

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


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The return of the native

By www.thehindubusinessline.com
Published On :: Fri, 24 Jul 2020 18:44:38 +0530

Covid disrupts lives of young women from North-East who’ve had to leave their jobs and go back home


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Mutual help turns pain to gain

By www.thehindubusinessline.com
Published On :: Fri, 07 Aug 2020 16:48:54 +0530

Farmers in Nuh, Haryana, assisted each other, and tapped technology, to work around Covid-19


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From village fairs to the Internet

By www.thehindubusinessline.com
Published On :: Fri, 18 Sep 2020 20:04:56 +0530

The pandemic has made traditional performers and artisans take to digital platforms


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Elon Musk And Vivek Ramaswamy To Head New 'Department Of Government Efficiency' Under Trump Administration

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Published On :: Wednesday, November 13, 2024, 08:49 +0530

The two will head the newly formed Department of Government Efficiency in the upcoming Trump administration, set to begin in January 2025.  


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Polyols from cashew nut shell liquid (CNSL): corner-stone building blocks for cutting-edge bio-based additives and polymers

By pubs.rsc.org
Published On ::

Polym. Chem., 2024, 15,4375-4415
DOI: 10.1039/D4PY00851K, Review Article
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Emilie Rojtman, Maxinne Denis, Camille Sirvent, Vincent Lapinte, Sylvain Caillol, Benoit Briou
From CNSL to polyols.
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Enhanced mechanical properties of acrylate and 5-vinyl-2-norbornene-based ethylene terpolymers: rational design and synthesis using remotely modulated phosphine–sulfonate palladium complexes

By pubs.rsc.org
Published On ::

Polym. Chem., 2024, Advance Article
DOI: 10.1039/D4PY00722K, Paper
Yong-Qing Li, Gui-Ping Cao, Yu-Cai Cao
From a practical perspective, it is important to maintain or increase the mechanical properties of functional ethylene copolymers to those of nonpolar polyethylene (PE).
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Alternating Radical Copolymerization of α-Styrylboronic Acid Pinacol Ester with Electron-Deficient Olefins

By pubs.rsc.org
Published On ::

Polym. Chem., 2024, Accepted Manuscript
DOI: 10.1039/D4PY00976B, Paper
Yiyang Xiao, Zepeng Zhang, Yan Xu, Jianbo Wang
Here, α-styryl boronic acid pinacol ester (StBpin) has been found to undergo alternating radical copolymerization with electron-deficient olefin comonomers, including n-butyl acrylate, N,N-dimethylacrylamide, acrylonitrile, and N-ethylmaleimide. Compared with styrene, which...
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Interpretable machining learning assisted insights into bifunctional squaramide catalyzed ring-opening polymerization of lactide

By pubs.rsc.org
Published On ::

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.
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Expression of concern: Surface modification engineering of two-dimensional titanium carbide for efficient synergistic multitherapy of breast cancer

By pubs.rsc.org
Published On ::

J. Mater. Chem. B, 2024, Advance Article
DOI: 10.1039/D4TB90175D, Expression of Concern
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Lei Bai, Wenhui Yi, Taiyang Sun, Yilong Tian, Ping Zhang, Jinhai Si, Xun Hou, Jin Hou
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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 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...
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Surface-Enhanced Raman Scattering for HSP 70A mRNA Detection in the Live Cells Using Silica Nanoparticles and DNA-Modified Gold Nanoparticles

By pubs.rsc.org
Published On ::

J. Mater. Chem. B, 2024, Accepted Manuscript
DOI: 10.1039/D4TB01514B, Paper
Ju Eun Cho, Dong-Kwon Lim
Real-time monitoring of mRNA in living cells is crucial for understanding dynamic biological processes. Traditional methods such as northern blotting, PCR, and sequencing require cell lysis and do not allow...
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NIR emissive probe for fluorescence turn-on based dead cell sorting and in vivo viscosity mapping in C. elegans

By pubs.rsc.org
Published On ::

J. Mater. Chem. B, 2024, Advance Article
DOI: 10.1039/D4TB01945H, Paper
Goraksha T. Sapkal, Farhan Anjum, Abdul Salam, Bodhidipra Mukherjee, Shilpa Chandra, Purabi Bala, Richa Garg, Shagun Sharma, Kush Kaushik, Chayan Kanti Nandi
An NIR emissive probe plays a pivotal role for in vitro and in vivo dead cell sorting.
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Shah Rukh returns to television!

By www.rediff.com
Published On :: Thu, 16 Feb 2017 10:43:19 +0530

Shah Rukh Khan will return to television as the host of a Hindi show called TED Talks India: Nayi Soch, which will feature inspirational speakers and big ideas.


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

By www.rediff.com
Published On :: Wed, 04 Oct 2017 18:04:25 +0530

'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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Bigg Boss 16: Nimrat Gets A Warning

By www.rediff.com
Published On :: Mon, 03 Oct 2022 17:07:13 +0530

The fights start early this season, as Tina Dutta and Archana get into a tiff.


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The Hindu EducationPlus International Education Fair in Bengaluru

By www.thehindu.com
Published On :: Sun, 29 Jan 2023 21:44:39 +0530


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The Hindu International Education Fair opens with huge response

By www.thehindu.com
Published On :: Mon, 30 Jan 2023 23:08:53 +0530

Hundreds of students and parents visited the stalls and interacted with colleges, universities, consulates, and agencies from across the globe, and got information about overseas education


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Ray — wired to modern times

By www.thehindubusinessline.com
Published On :: Mon, 05 Jul 2021 13:57:03 +0530

The new Netflix anthology, based on the works of Satyajit Ray, is an exploration of minds in the throes of existential crises


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“With ‘Sherni’, I wanted to move away from the hero archetype”

By www.thehindubusinessline.com
Published On :: Mon, 12 Jul 2021 11:54:25 +0530

A unique environmental drama, the recently released ‘Sherni’ is earning accolades from leading Indian conservationists for its accurate portrayal of the modern wildlife crisis


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Designs on the future — patterning a new India

By www.thehindubusinessline.com
Published On :: Sun, 15 Aug 2021 07:19:50 +0530

On India’s 75th Independence Day, can cultivating a design-backed ecosystem put the country on a steep growth path?


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Turning the lens on the most iconic camera made in India

By www.thehindubusinessline.com
Published On :: Thu, 19 Aug 2021 11:03:40 +0530

A nostalgic look at the vintage Vageeswari camera invented in Alappuzha — back in focus as it is spotlighted at the ongoing Lokame Tharavadu art event


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A lateral strip assay for ultrasensitive detection of glyphosate in soybeans and corn

By pubs.rsc.org
Published On ::

Analyst, 2024, 149,5232-5242
DOI: 10.1039/D4AN00958D, Paper
Xuyang Ma, Liqiang Liu, Shanshan Song, Hua Kuang, Chuanlai Xu, Xinxin Xu
The determination of glyphosate in soybean (a) and corn (b) samples using a lateral strip assay.
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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, 149,5535-5545
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.
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A bank from ‘Karnata’

By www.thehindubusinessline.com
Published On :: Thu, 28 Feb 2013 11:05:01 +0530


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The boy turns 100

By www.thehindubusinessline.com
Published On :: Fri, 03 May 2013 18:46:04 +0530

The popularity of the movie was determined by the amount at which the ticket was sold in black during those days. Higher the amount paid, most popular it was!


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  • A J Vinayak
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Machine-learning-accelerated structure prediction of PtSnO nanoclusters under working conditions

By pubs.rsc.org
Published On ::

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.
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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

By pubs.rsc.org
Published On ::

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.
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Unveiling distinct bonding patterns in noble gas hydrides via interference energy analysis

By pubs.rsc.org
Published On ::

Phys. Chem. Chem. Phys., 2024, Advance Article
DOI: 10.1039/D4CP04028G, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Lucas Araujo, Marco A. C. Nascimento, Thiago M. Cardozo, Felipe Fantuzzi
SCGVB calculations show that in noble gas hydride ions NgH+ (Ng = He–Ar), energy well formation is driven by quantum interference. At equilibrium bond lengths, HeH+ and ArH+ exhibit covalent Ng+–H bonds, while NeH+ possesses a dative Ne → H+ bond.
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Morphology optimization via pre-aggregation and miscibility matching in PM6:L8-BO ternary organic solar cells

By pubs.rsc.org
Published On ::

Phys. Chem. Chem. Phys., 2024, Advance Article
DOI: 10.1039/D4CP03206C, Paper
Chuyue Wei, Junwei Zhang, Jing Deng, Xiangyan Yang, Jiahui Luo, Zixiao Xu, Lin Zhang, Shuaishuai Yuan, Weihua Zhou
Pre-aggregation and miscibility matching accounting for morphology optimization in ternary organic solar cells based on a PM6:L8-BO system.
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High Chern number quantum anomalous Hall effect in monolayer Co3X3SSe (X = Sn, Pb) kagomes

By pubs.rsc.org
Published On ::

Phys. Chem. Chem. Phys., 2024, Advance Article
DOI: 10.1039/D4CP03625E, Paper
Xiang Yin, Li Deng, Fei Wang, Yanzhao Wu, Junwei Tong, Xianmin Zhang
Two-dimensional stable kagome ferromagnets Co3Sn3SSe and Co3Pb3SSe can realize the QAHE with a high Chern number of |C| = 3, and present intriguing possibilities for advancing intrinsic high Chern number QAH devices.
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Deciphering nonlinear optical properties in functionalized hexaphyrins via explainable machine learning

By pubs.rsc.org
Published On ::

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.
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