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Screening for Urothelial Carcinoma Cells in Urine Based on Digital Holographic Flow Cytometry through Machine Learning and Deep Learning Method

Lab Chip, 2024, Accepted Manuscript
DOI: 10.1039/D3LC00854A, Paper
Lu Xin, Xi Xiao, Wen Xiao, Ran Peng, Hao Wang, Feng Pan
The incidence of urothelial carcinoma continue to rise annually, particularly among the elderly. Prompt diagnosis and treatment can significantly enhance patient survival and quality of life. Urine cytology remains a...
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Synthesis and photocatalytic property of Au–TiO2 nanocomposites with controlled morphologies in microfluidic chips

Lab Chip, 2024, 24,2253-2261
DOI: 10.1039/D3LC01053H, Paper
Ziran Ye, Ping Lu, Yiben Chen, Zhixian Xu, Haixia Huang, Mingjia Zhi, Zi Ang Chen, Bo Yan
We present an efficient approach for the consecutive synthesis of Au–TiO2 nanocomposites with controlled morphologies in a microfluidic chip.
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High-throughput 3D microfluidic chip for generation of concentration gradients and mixture combinations

Lab Chip, 2024, 24,2280-2286
DOI: 10.1039/D3LC00822C, Paper
Mingwei Zhao, Jing Yang, Zhenqing Li, Yuan Zeng, Chunxian Tao, Bo Dai, Dawei Zhang, Yoshinori Yamaguchi
Concentration gradient generation and mixed combinations of multiple solutions are of great value in the field of biomedical research.
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Designing and prototyping a novel biosensor based on a volumetric bar-chart chip for urea detection

Lab Chip, 2024, 24,2298-2305
DOI: 10.1039/D3LC00730H, Paper
Mahdi Samadi Khezri, Mohammad Reza Housaindokht, Mojtaba Firouzi
A volumetric bar-chart chip (V-chip) is a microfluidic device based on distance-based quantitative measurement that visualizes analyte concentration without the need for apparatus or data processing.
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Brachytherapy on-a-chip: a clinically-relevant approach for radiotherapy testing in 3d biology

Lab Chip, 2024, 24,2335-2346
DOI: 10.1039/D4LC00032C, Paper
Rodin Chermat, Elena Refet-Mollof, Yuji Kamio, Jean-François Carrier, Philip Wong, Thomas Gervais
We introduce the first brachytherapy-on-chip device for in vitro testing of brachytherapy on naturally hypoxic tumor spheroids, for translational research and drug development.
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A microfluidic-based gut-on-a-chip model containing the gut microbiota of patients with depression reveals physiological characteristics similar to depression

Lab Chip, 2024, Advance Article
DOI: 10.1039/D3LC01052J, Paper
Wenxin Wang, Yiyuan Liu, Zhikai Yao, Dengbo Chen, Yue Tang, Jingwei Cui, Jiangjiang Zhang, Hong Liu, Zikai Hao
A depression-on-gut-chip (DoGC) is prepared and enables extended co-culture of aerobic human intestinal epithelial cells and anaerobic gut microbiota, and allows direct study of interactions between human gut microbiota and depression.
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Multiplex nanozymatic biosensing of Salmonella on a finger-actuated microfluidic chip

Lab Chip, 2024, Accepted Manuscript
DOI: 10.1039/D4LC00291A, Paper
Nana Jin, Fan Jiang, Fengzhen Yang, Ying Ding, Ming Liao, Yanbin Li, Jianhan Lin
A colorimetric biosensor was elaboratively designed for fast, sensitive and multiplex bacterial detection on a single microfluidic chip using immune magnetic nanobeads for specific bacterial separation, immune gold@platinum palladium nanoparticles...
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Rocking- and diffusion-based culture of tumor spheroids-on-a-chip

Lab Chip, 2024, Advance Article
DOI: 10.1039/D3LC01116J, Paper
Duomei Tian, Zheng Mao, Li Wang, Xiaochen Huang, Wei Wang, Haoyue Luo, Juan Peng, Yong Chen
Tumor spheroids are cultured in hydrogel microwells with a gravity driven medium flow underneath the membrane on-a-chip. The rocking system is pumpless, powered with a rechargeable battery, and programmable with a built-in microprocess.
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High-resolution low-cost LCD 3D printing for microfluidic and organ-on-a-chip devices

Lab Chip, 2024, Accepted Manuscript
DOI: 10.1039/D3LC01125A, Paper
Open Access
Houda Shafique, Vahid Karamzadeh, Geunyong Kim, Molly L. Shen, Yonatan Morocz, Ahmad Sohrabi Kashani, David Juncker
The fabrication of microfluidic devices has progressed from cleanroom manufacturing to replica molding in polymers, and more recently to direct manufacturing by subtractive (e.g., laser machining) and additive (e.g., 3D...
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Ammonia Decomposition over Low-loading Ruthenium Catalyst Achieved through “Adiabatic” Plasma Reactor

React. Chem. Eng., 2024, Accepted Manuscript
DOI: 10.1039/D4RE00509K, Paper
Minhazur Rahman Shawon, Chinwendu Umeojiakor, Anthony Griffin, Jeffrey S. Aguinaga, Jiachun Wu, Derek Patton, Zhe Qiang, Hossein Toghiani, Yizhi Xiang
Electrified catalytic processes for ammonia (NH3) decomposition have been considered as essential technologies for distributed COx-free hydrogen production. Here we show that efficient NH3 decomposition can be achieved over low-loading...
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Trapping bond exchange phenomenon revealed for off-stoichiometry cross-linking of phase-separated vitrimer-like materials

Soft Matter, 2024, 20,2961-2968
DOI: 10.1039/D4SM00074A, Paper
Takumi Kito, Mikihiro Hayashi
Unusual relaxation and creep properties by the trapping bond exchange phenomenon is revealed for vitrimer-like materials with bond exchangeable domains of quaternized pyridines, in the special case of off- stoichiometric cross-linking condition.
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The interplay of chirality and restricted rotation: stabilisation of chiral, frustrated mesophases over a wide thermal range

Soft Matter, 2024, Advance Article
DOI: 10.1039/D4SM00126E, Paper
Sachin A. Bhat, Channabasaveshwara V. Yelamaggad
Chiral dimers formed by linking cholesterol to phenyl 3-(4-(n-alkoxy)phenyl)propiolate via ω-oxyalkanoyloxy spacer exhibit odd–even effect, stabilizing SmA, N*, BPI/II, & TGBC* phases. TGBC* phase width increases with longer terminal tails.
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Achieving controllable and reversible snap-through in pre-strained strips of liquid crystalline elastomers

Soft Matter, 2024, 20,3256-3270
DOI: 10.1039/D4SM00037D, Paper
Open Access
James T. Waters, Anna C. Balazs
Deformable, elastic materials that buckle in response to external stimuli can display “snap-through”, which involves a transition between different, stable buckled states.
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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.
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Optimizing methanol synthesis from CO2 using graphene-based heterogeneous photocatalyst under RSM and ANN-driven parametric optimization for achieving better suitability

RSC Adv., 2024, 14,12496-12512
DOI: 10.1039/D4RA00578C, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Ramesh Kumar, Jayato Nayak, Somnath Chowdhury, Sashikant Nayak, Shirsendu Banerjee, Bikram Basak, Masoom Raza Siddiqui, Moonis Ali Khan, Rishya Prava Chatterjee, Prashant Kumar Singh, WooJin Chung, Byong-Hun Jeon, Sankha Chakrabortty, Suraj K. Tripathy
Assessment of the performance of linear and nonlinear regression-based methods for estimating in situ catalytic CO2 transformations employing TiO2/Cu coupled with hydrogen exfoliation graphene (HEG) has been investigated.
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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
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Bioactive O^N^O^ Schiff base appended homoleptic titanium(IV) complexes: DFT, BSA/CT-DNA interactions, molecular docking and antitumor activity against HeLa and A549 cell lines

RSC Adv., 2024, 14,13062-13082
DOI: 10.1039/D3RA08574K, Paper
Open Access
Sathish Thanigachalam, Madhvesh Pathak
Five new homoleptic derivatives of titanium(IV) have been developed and characterized by physicochemical techniques.
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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.
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Effects of external light in the magnetic field-modulated photocatalytic reactions in a microfluidic chip reactor

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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Formation of H-bonding networks in the solid state structure of a trinuclear cobalt(III/II/III) complex with N2O2 donor Schiff base ligand and glutaric acid as bridging co-ligand: synthesis, structure and DFT study

RSC Adv., 2024, 14,13200-13208
DOI: 10.1039/D3RA07697K, Paper
Open Access
Sovana Maity, Sudip Bhunia, Michael G. B. Drew, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay
Formation of hydrogen bonding network in a trinuclear linear mixed-valence centrosymmetric cobalt(III)–cobalt(II)–cobalt(III) complex has been analyzed using DFT calculations.
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Mesoporous degradable chitosan-based monoliths: synthesis and applications toward water purification

Mol. Syst. Des. Eng., 2024, 9,399-408
DOI: 10.1039/D3ME00180F, Paper
Jyoti Devi Katiyar, Subrata Chattopadhyay
A synthetic strategy is presented for the preparation of degradable chitosan based functional porous polymer monoliths with tunable surface area, which are capable to efficiently remove multiple pollutants from water.
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Where technology yields not microchips but sun-dried chips

The Women’s Technology Park in Salem is turning rural women into entrepreneurs, through sustainable schemes




chi

When children can be seen and heard

An intervention in Agra district gets children back to school




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Catalytic copolymerization of carbon dioxide and cyclohexene oxide by a trinuclear cyclohexane-bridged tetradentate Schiff base chromium complex

Polym. Chem., 2024, 15,4519-4528
DOI: 10.1039/D4PY00956H, Paper
Jie Huang, Boxiong Shen
The development of catalytic systems is a central area of research in carbon dioxide (CO2) and epoxy copolymerization.
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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.
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Long-term leaching kinetics and solution chemistry of aqueous BaTiO3 powder suspensions: a numerical model supported experiment

J. Mater. Chem. B, 2024, Advance Article
DOI: 10.1039/D4TB01708K, Paper
Marcus Bentzen, Vojtěch Lindauer, Pavel Mokrý, Ragnhild Elizabeth Aune, Julia Glaum
The advent of lead-free perovskite materials with favorable toxicity profiles has made them candidates for in vivo and environmental applications.
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Chitosan-functionalized nanobubbles for precision oncology: advances in targeted cancer therapeutics

J. Mater. Chem. B, 2024, 12,11076-11088
DOI: 10.1039/D4TB01930J, Review Article
Vivek Pandey, Tejasvi Pandey
The convergence of nanotechnology and cancer therapeutics has opened new frontiers in the development of advanced drug delivery systems.
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Correction: Blood-clotting model and simulation analysis of polyvinyl alcohol–chitosan composite hemostatic materials

J. Mater. Chem. B, 2024, 12,11265-11266
DOI: 10.1039/D4TB90174F, Correction
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Yifan Zhao, Junhong Hao, Zexin Chen, Mengmeng Li, Jianxun Ren, Xiaobing Fu
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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...
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Fluorescence sensing techniques for quality evaluation of traditional Chinese medicines: a review

J. Mater. Chem. B, 2024, Advance Article
DOI: 10.1039/D4TB01886A, Review Article
Yanyu Xiao, Hui Wang, Chenxia Gao, Xinyi Ye, Yuting Lai, Meiling Chen, Xiaoliang Ren
We summarized the advantages and advanced applications of fluorescence sensing technology compared with other analytical techniques, as well as the challenges and prospects of current application in the field of TCM quality evaluation.
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chi

If not TV, what is young India watching?

According to industry experts, television has lost the young urban viewer for English or Hindi shows. Urvi Malvania finds out what is making more and more of them turn to digital platforms like Voot and Hotstar.







chi

Bigg Boss 16: Shalin's Chicken Drama!

Shalin Bhanot is currently the most annoying contestant on Bigg Boss 16, thanks to his obsession with chicken.





chi

Teaching children about the social construction of gender roles

The school is pivotal for identity evolution in young minds and given the space to explore it can shape inclusiveness among students




chi

Conquering Everest: A compelling account of how an impossible dream was achieved

Jim Davidson dwells in detail on the failure to make it in the first attempt and the harrowing return to physically and emotionally draining climb up scale the highest summit in the world






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Oscars: Robert Downey Jr Thanks 'Terrible Childhood'

Robert Downey Jr bagged his first ever Oscar award for his performance in the biopic drama film, Oppenheimer.




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A nano-biosensing platform based on CuS-BSA for label-free fluorescence detection of Escherichia coli

Analyst, 2024, 149,5394-5400
DOI: 10.1039/D4AN01060D, Paper
Xiaoqing Zhang, Shanglin Li, Mei Liu
A fluorescence biosensing strategy was developed based on CuS-BSA for sensitive and rapid detection of Escherichia coli.
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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.
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Generation, manipulation, detection and biomedical applications of magnetic droplets in microfluidic chips

Analyst, 2024, Advance Article
DOI: 10.1039/D4AN01175A, Minireview
Chenyang Xu, Huanhuan Shi, Zhongjian Tan, Yun Zheng, Weizheng Xu, Zhengxian Dan, Jiacong Liao, Zhiying Dai, Yali Zhao
This review discusses the formation and manipulation of magnetic droplets on microfluidic chips and classifies related detection techniques. Applications in biomedicine were reviewed. Future development of this emerging field is provided.
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Golden Sachin



  • A J Vinayak

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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.
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Strategy for predicting catalytic activity of catalysts with hierarchical nanostructures

Phys. Chem. Chem. Phys., 2024, 26,27371-27381
DOI: 10.1039/D4CP03102D, Paper
Zidi Zhu, Daoming Huan, Jingchao Yuan, Dan Zhang, Aijun Li, Jiujun Zhang
This study constructs a multiphysics model that successfully replicates experimental results, introducing an improved Thiele modulus to enhance the prediction of catalytic activity in hierarchical nanostructured SOFC electrodes.
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Morphology optimization via pre-aggregation and miscibility matching in PM6:L8-BO ternary organic solar cells

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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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.
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Kochi-based brand Papier Culture revives the ancient art of paper making

Papier Culture, founded by Hilonee K Shah, makes sustainable products with recycled paper



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