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World coronavirus dispatch: How the wealth management industry is changing

From US-China talks to end trade deadlock, to FDA nod for Moderna drug's Phase-II trials, and an Amsterdam restaurant with 'quarantine greenhouses' - read these and more in today's world dispatch




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Work on to neutralise remaining Styrene gas at LG Polymers' Vizag plant

The Chief Secretary said the gas leak resulted in 12 deaths, while 454 others had to be admitted to various hospitals




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OCI card holders' entry in India to remain suspended during lockdown: Govt

The government has kept in abeyance multiple-entry life-long visas given to OCI card holders till the time international travel resumes




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Lockdown impact: Fuel demand in India plunged to historic lows in April

In its latest report, the International Energy Agency has said India's annual fuel consumption will decline 5.6 per cent in 2020




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Colorimetric absorbance mapping and quantitation on paper-based analytical devices

Lab Chip, 2020, 20,1441-1448
DOI: 10.1039/D0LC00028K, Paper
Open Access
Yoshiki Soda, Kye J. Robinson, Thomas J. Cherubini, Eric Bakker
A pixel-level colorimetric absorbance analysis can measure the total quantity of dye on paper, irrespective of shape and size.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Monitoring tissue-level remodelling during inflammatory arthritis using a three-dimensional synovium-on-a-chip with non-invasive light scattering biosensing

Lab Chip, 2020, 20,1461-1471
DOI: 10.1039/C9LC01097A, Paper
Open Access
Mario Rothbauer, Gregor Höll, Christoph Eilenberger, Sebastian R. A. Kratz, Bilal Farooq, Patrick Schuller, Isabel Olmos Calvo, Ruth A. Byrne, Brigitte Meyer, Birgit Niederreiter, Seta Küpcü, Florian Sevelda, Johannes Holinka, Oliver Hayden, Sandro F. Tedde, Hans P. Kiener, Peter Ertl
We demonstrate that the integration of complex human synovial organ cultures in a lab-on-a-chip provides reproducible and reliable information on how systemic stress factors affect synovial tissue architectures using light scatter biosensing.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Scalable microfluidic droplet on-demand generator for non-steady operation of droplet-based assays

Lab Chip, 2020, 20,1398-1409
DOI: 10.1039/C9LC01103J, Paper
Open Access
Kartik Totlani, Jan-Willem Hurkmans, Walter M. van Gulik, Michiel T. Kreutzer, Volkert van Steijn
We developed a microfluidic droplet on-demand (DoD) generator that enables the production of droplets with a volume solely governed by the geometry of the generator for a range of operating conditions.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Mathematical modeling and computational analysis of centrifugal microfluidic platforms: a review

Lab Chip, 2020, 20,1318-1357
DOI: 10.1039/C9LC00775J, Critical Review
Open Access
Masoud Madadelahi, Luis F. Acosta-Soto, Samira Hosseini, Sergio O. Martinez-Chapa, Marc J. Madou
This paper focuses on theory and computational modelling of lab-on-a-disc devices of relevance for novel applications discovery and optimal designs.
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Stretching DNA to twice the normal length with single-molecule hydrodynamic trapping

Lab Chip, 2020, Advance Article
DOI: 10.1039/C9LC01028A, Paper
Open Access
Yan Jiang, Theodore Feldman, Julia A. M. Bakx, Darren Yang, Wesley P. Wong
High-speed hydrodynamic trapping enables combined surface-free force spectroscopy and fluorescence imaging of single DNA molecules at extreme forces.
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Development of two-photon polymerised scaffolds for optical interrogation and neurite guidance of human iPSC-derived cortical neuronal networks

Lab Chip, 2020, Advance Article
DOI: 10.1039/C9LC01209E, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
J. A. Crowe, A. El-Tamer, D. Nagel, A. V. Koroleva, J. Madrid-Wolff, O. E. Olarte, S. Sokolovsky, E. Estevez-Priego, A.-A. Ludl, J. Soriano, P. Loza-Alvarez, B. N. Chichkov, E. J. Hill, H. R. Parri, E. U. Rafailov
We identified photopolymers for 2-photon polymerisation with biocompatibility for human iPSC-derived neural network development. Generation of microscale scaffold topologies enabled neurite guidance, demonstrating use in reproducing aligned networks.
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Development and characterisation of acoustofluidic devices using detachable electrodes made from PCB

Lab Chip, 2020, Advance Article
DOI: 10.1039/C9LC01192G, Paper
Roman Mikhaylov, Fangda Wu, Hanlin Wang, Aled Clayton, Chao Sun, Zhihua Xie, Dongfang Liang, Yinhua Dong, Fan Yuan, Despina Moschou, Zhenlin Wu, Ming Hong Shen, Jian Yang, Yongqing Fu, Zhiyong Yang, Christian Burton, Rachel J. Errington, Marie Wiltshire, Xin Yang
We demonstrate a novel SAW device fabrication technique by mechanically clamping interdigital electrodes (IDEs) on the printed circuit board (PCB) to a LiNbO3 wafer. The novel PCB-SAW device is capable of performing all the functions of standard SAW devices.
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A bespoke microfluidic pharmacokinetic compartment model for drug absorption using artificial cell membranes

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00263A, Paper
Jaime L. Korner, Elanna B. Stephenson, Katherine S. Elvira
A new type of pharmacokinetic compartment model using artificial cell membranes that predicts intestinal absorption three times more accurately than the current state of the art.
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Seeded droplet microfluidic system for small molecule crystallization

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00122H, Paper
N. Garg, R. Tona, P. Martin, P. M. Martin-Soladana, G. Ward, N. Douillet, D. Lai
A microfluidic approach to seeded crystallization has been demonstrated using abacavir hemisulfate, a nucleoside analog reverse transcriptase inhibitor, in droplet reactors to control polymorphism and produce particles with a low particle size distribution.
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A new microfluidic model that allows monitoring of complex vascular structures and cell interactions in a 3D biological matrix

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00059K, Paper
Open Access
Christian G. M. van Dijk, Maarten M. Brandt, Nikolaos Poulis, Jonas Anten, Matthijs van der Moolen, Liana Kramer, Erik F. G. A. Homburg, Laura Louzao-Martinez, Jiayi Pei, Merle M. Krebber, Bas W. M. van Balkom, Petra de Graaf, Dirk J. Duncker, Marianne C. Verhaar, Regina Luttge, Caroline Cheng
We present a microfluidic vascular device. Vascular cells in a 3D-ECM environment support hemodynamic flow and enable monocyte interaction.
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Direct loading of blood for plasma separation and diagnostic assays on a digital microfluidic device

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00302F, Paper
Christopher Dixon, Julian Lamanna, Aaron R. Wheeler
The integration of 3D porous membranes in a digital microfluidic device enables the generation of cell-free plasma from finger-stick volumes of blood with in-line, on-chip analysis.
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In situ generation of plasma-activated aerosols via surface acoustic wave nebulization for portable spray-based surface bacterial inactivation

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00001A, Paper
Kiing S. Wong, William T. H. Lim, Chien W. Ooi, Leslie Y. Yeo, Ming K. Tan
We demonstrate an efficient technique for in situ production and application of plasma-activated aerosols for surface disinfection.
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Correction: Deformability-induced lift force in spiral microchannels for cell separation

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC90036B, Correction
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Ewa Guzniczak, Oliver Otto, Graeme Whyte, Nicholas Willoughby, Melanie Jimenez, Helen Bridle
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Photonic crystal-based smart contact lens for continuous intraocular pressure monitoring

Lab Chip, 2020, Advance Article
DOI: 10.1039/C9LC01268K, Paper
Bohee Maeng, Hyung-kwan Chang, Jungyul Park
A powerless smart contact lens enabling to monitor intraocular pressure (IOP) by checking the visual color change in photonic crystal structure with a microhydraulic amplification system has been realized.
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Spatially isolated reactions in a complex array: using magnetic beads to purify and quantify nucleic acids with digital and quantitative real-time PCR in thousands of parallel microwells

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00069H, Paper
W. Hampton Henley, Nathan A. Siegfried, J. Michael Ramsey
Encoded beads carrying primer pairs for nucleic acid targets are used for sample preparation and multiplexed-in-space digital PCR quantification.
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Bioinspired reconfiguration of 3D printed microfluidic hydrogels via automated manipulation of magnetic inks

Lab Chip, 2020, Advance Article
DOI: 10.1039/D0LC00280A, Communication
Amin Mansoorifar, Anthony Tahayeri, Luiz E. Bertassoni
We proposed a novel concept for reconfiguration of hydrogel microfluidic devices, where multiple fluidic pathways could be generated via reversible manipulation of magnetic inks.
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Auto-affitech: an automated ligand binding affinity evaluation platform using digital microfluidics with a bidirectional magnetic separation method

Lab Chip, 2020, 20,1577-1585
DOI: 10.1039/D0LC00024H, Paper
Jingjing Guo, Li Lin, Kaifeng Zhao, Yanling Song, Mengjiao Huang, Zhi Zhu, Leiji Zhou, Chaoyong Yang
An automated ligand binding affinity evaluation platform using digital microfluidics with a bidirectional magnetic separation method that reduces the bead loss.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Quantitatively controllable fluid flows with ballpoint-pen-printed patterns for programmable photo-paper-based microfluidic devices

Lab Chip, 2020, 20,1601-1611
DOI: 10.1039/D0LC00115E, Paper
Veasna Soum, Sooyong Park, Albertus Ivan Brilian, Jae-Youl Choi, Yongwoo Lee, Wonjung Kim, Oh-Sun Kwon, Kwanwoo Shin
A precise, simple, and inexpensive method for controlling fluid flow in a photo-paper-based microfluidic device was reported.
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Monitoring the two-dimensional concentration profile of toluene vapors by using polymer-stabilized nematic liquid crystals in microchannels

Lab Chip, 2020, 20,1687-1693
DOI: 10.1039/C9LC01021A, Paper
Zongdai Liu, Dan Luo, Kun-Lin Yang
The concentration of toluene vapor is obtained based on polymer-stabilized liquid crystals by viewing a colourful gamut under a polarized optical microscope.
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Selective cell propagation via micropatterning of a thermally-activated hydrogel

Lab Chip, 2020, 20,1544-1553
DOI: 10.1039/C9LC01230C, Communication
Jeffrey C. Y. Chiu, Joyce A. Teodoro, Jeong Hyun Lee, Kerryn Matthews, Simon P. Duffy, Hongshen Ma
Inverse gelation of methylcellulose enables hydrogel micropatterning to selectively propagate cells identified by microscopy.
The content of this RSS Feed (c) The Royal Society of Chemistry




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3-Step flow focusing enables multidirectional imaging of bioparticles for imaging flow cytometry

Lab Chip, 2020, 20,1676-1686
DOI: 10.1039/D0LC00244E, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Andreas Kleiber, Anuradha Ramoji, Günter Mayer, Ute Neugebauer, Jürgen Popp, Thomas Henkel
The control of the focus plane allows multi-directional imaging flow cytometry.
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Matrix density drives 3D organotypic lymphatic vessel activation in a microfluidic model of the breast tumor microenvironment

Lab Chip, 2020, 20,1586-1600
DOI: 10.1039/D0LC00099J, Paper
Karina M. Lugo-Cintrón, José M. Ayuso, Bridget R. White, Paul M. Harari, Suzanne M. Ponik, David J. Beebe, Max M. Gong, María Virumbrales-Muñoz
Lymphatic organotypic in vitro model allows the examination of components of the tumor microenvironment (e.g., ECM density, cancer cells) in lymphatic vessel biology in the context of cancer, providing insights into potential therapeutic targets.
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Smartphone-based multiplex 30-minute nucleic acid test of live virus from nasal swab extract

Lab Chip, 2020, 20,1621-1627
DOI: 10.1039/D0LC00304B, Paper
Fu Sun, Anurup Ganguli, Judy Nguyen, Ryan Brisbin, Krithika Shanmugam, David L. Hirschberg, Matthew B. Wheeler, Rashid Bashir, David M. Nash, Brian T. Cunningham
A 30-minute nucleic acid test for equine respiratory virus from nasal swab material, detected with a smartphone.
The content of this RSS Feed (c) The Royal Society of Chemistry




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A high-throughput system combining microfluidic hydrogel droplets with deep learning for screening the antisolvent-crystallization conditions of active pharmaceutical ingredient

Lab Chip, 2020, Accepted Manuscript
DOI: 10.1039/D0LC00153H, Paper
Zhening Su, Jinxu He, Peipei Zhou, Lu Huang, Jianhua Zhou
Crystallization of active pharmaceutical ingredients (APIs) is a crucial process in the pharmaceutical industry due to its great impact in drug efficacy. However, conventional approaches for screening the optimal crystallization...
The content of this RSS Feed (c) The Royal Society of Chemistry




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A Web-based Automated Machine Learning Platform to Analyze Liquid Biopsy Data

Lab Chip, 2020, Accepted Manuscript
DOI: 10.1039/D0LC00096E, Paper
Hanfei Shen, Tony Liu, Jesse Cui, Piyush Borole, Ari Benjamin, Konrad Kording, David Issadore
Liquid biopsy (LB) technologies continue to improve in sensitivity, specificity, and multiplexing and can measure an ever growing library of disease biomarkers. However, clinical interpretation of the increasingly large sets...
The content of this RSS Feed (c) The Royal Society of Chemistry




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Inside Kumar Mangalam Birla’s Rs 425-crore Jatia House




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Express Newslist: Mob kills man over beef rumours; 7/11 Mumbai blast sentencing




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Express Newslist: Mumbai blasts convict’s confession, India’s reply to Pak at UN, Mahesh Sharma on Dadri lynching




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Express Newslist: MHA’s ‘zero tolerance’ on Dadri Lynching, jawans killed in Kupwara encounter, Khurshid Mahmud Kasuri’s new book,




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#ie100: Narendra Modi to Ravish Kumar, the most powerful Indians




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What is Panama Papers? Here is everything you need to know




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[ASAP] Comparing Cryo-EM Reconstructions and Validating Atomic Model Fit Using Difference Maps

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01103




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[ASAP] Computational Protocol for Assessing the Optimal Pixel Size to Improve the Accuracy of Single-particle Cryo-electron Microscopy Maps

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01107




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[ASAP] SPREAD: A Fully Automated Toolkit for Single-Particle Cryogenic Electron Microscopy Data 3D Reconstruction with Image-Network-Aided Orientation Assignment

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01099




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[ASAP] Modeling of a 14 kDa RUVBL2-Binding Domain with Medium Resolution Cryo-EM Density

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01095




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[ASAP] MAINMASTseg: Automated Map Segmentation Method for Cryo-EM Density Maps with Symmetry

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01110




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[ASAP] Flexible Fitting of Small Molecules into Electron Microscopy Maps Using Molecular Dynamics Simulations with Neural Network Potentials

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01167




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[ASAP] Propagation of Conformational Coordinates Across Angular Space in Mapping the Continuum of States from Cryo-EM Data by Manifold Embedding

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01115




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[ASAP] Cylindrical Similarity Measurement for Helices in Medium-Resolution Cryo-Electron Microscopy Density Maps

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00010




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[ASAP] Cov_FB3D: A De Novo Covalent Drug Design Protocol Integrating the BA-SAMP Strategy and Machine-Learning-Based Synthetic Tractability Evaluation

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01197




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[ASAP] Exploring Conformational Space with Thermal Fluctuations Obtained by Normal-Mode Analysis

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01136




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[ASAP] Molecular Perception for Visualization and Computation: The Proxima Library

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00076




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[ASAP] Structure- and Ligand-Based Virtual Screening on DUD-E<sup>+</sup>: Performance Dependence on Approximations to the Binding Pocket

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00115




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[ASAP] LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00155




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[ASAP] Ranking Molecules with Vanishing Kernels and a Single Parameter: Active Applicability Domain <italic toggle="yes">Included</italic>

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01075




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[ASAP] Evaluating Scalable Uncertainty Estimation Methods for Deep Learning-Based Molecular Property Prediction

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b00975