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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.
The content of this RSS Feed (c) The Royal Society of Chemistry




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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] What Will Computational Modeling Approaches Have to Say in the Era of Atomistic Cryo-EM Data?

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00123




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[ASAP] What Could Go Wrong? A Practical Guide to Single-Particle Cryo-EM: From Biochemistry to Atomic Models

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01178




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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] Development and Evaluation of MM/GBSA Based on a Variable Dielectric GB Model for Predicting Protein–Ligand Binding Affinities

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00024




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[ASAP] Simulation-Based Methods for Model Building and Refinement in Cryoelectron Microscopy

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00087




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[ASAP] The Synthesizability of Molecules Proposed by Generative Models

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00174




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[ASAP] Prototype Selection Method Based on the Rivality and Reliability Indexes for the Improvement of the Classification Models and External Predictions

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00176




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[ASAP] Multisolvent Models for Solvation Free Energy Predictions Using 3D-RISM Hydration Thermodynamic Descriptors

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00065




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[ASAP] Deep Dive into Machine Learning Models for Protein Engineering

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.0c00073




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[ASAP] BIreactive: A Machine-Learning Model to Estimate Covalent Warhead Reactivity

Journal of Chemical Information and Modeling
DOI: 10.1021/acs.jcim.9b01058




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Cognitive informatics in health and biomedicine: understanding and modeling health behaviors / Vimla L. Patel, Jose F. Arocha, Jessica S. Ancker, editors

Online Resource




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Vital models: the making and use of models in the brain sciences / edited by Tara Mahfoud, Sam McLean and Nikolas Rose

Online Resource




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The biology of thought: a neuronal mechanism in the generation of thought - a new molecular model / Krishnagopal Dharani

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Computational neuroscience models of the basal ganglia / V. Srinivasa Chakravarthy, Ahmed A. Moustafa

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Sexual selection: perspectives and models from the neotropics / edited by Regina H. Macedo, Glauco Machado

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The 3D stereotaxic brain atlas of the degu: with MRI and histology digital model with a freely rotatable viewer / Noriko Kumazawa-Manita, Tsutomu Hashikawa, Atsushi Iriki

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Genetic models and molecular pathways underlying autism spectrum disorders / edited by Anantha Shekhar

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Hippocampal microcircuits: a computational modeler's resource book / Vassilis Cutsuridis, Bruce P. Graham, Stuart Cobb, Imre Vida, editors

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The biopsychosocial model of health and disease: new philosophical and scientific developments / Derek Bolton, Grant Gillett

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Cellular biophysics and modeling: a primer on the computational biology of excitable cells / Greg Conradi Smith

Hayden Library - QP363.S595 2019




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Mathematical Modelling and Biomechanics of the Brain Corina Drapaca, Siv Sivaloganathan

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Brain and human body modeling: computational human modeling at EMBC 2018 / Sergey Makarov, Marc Horner, Gregory Noetscher, editors

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Bis(ethylmaltolato)oxidovanadium(IV) inhibited the pathogenesis of Alzheimer's disease in triple transgenic model mice

Metallomics, 2020, 12,474-490
DOI: 10.1039/C9MT00271E, Paper
Zhijun He, Shuangxue Han, Chong Wu, Lina Liu, Huazhang Zhu, Ang Liu, Qiying Lu, Jingqiang Huang, Xiubo Du, Nan Li, Qinguo Xie, Lu Wan, Jiazuan Ni, Lingling Chen, Xiaogai Yang, Qiong Liu
BEOV activates PPARγ to affect JAK2/STAT3/SOCS1 signaling and eventually prevents Aβ generation. Meanwhile, BEOV inactivates PTP1B to affect PI3K/Akt/GSK3β signaling and finally reduces tau hyperphosphorylation.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Correction: Bis(ethylmaltolato)oxidovanadium(IV) inhibited the pathogenesis of Alzheimer's disease in triple transgenic model mice

Metallomics, 2020, 12,631-631
DOI: 10.1039/D0MT90008G, Correction
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Zhijun He, Shuangxue Han, Chong Wu, Lina Liu, Huazhang Zhu, Ang Liu, Qiying Lu, Jingqiang Huang, Xiubo Du, Nan Li, Qingguo Xie, Lu Wan, Jiazuan Ni, Lingling Chen, Xiaogai Yang, Qiong Liu
The content of this RSS Feed (c) The Royal Society of Chemistry




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Diphenyl Diselenide Protects Caenorhabditis elegans Model for Huntington's Disease by Activation of Antioxidant Pathway and Decrease in Protein Aggregation

Metallomics, 2020, Accepted Manuscript
DOI: 10.1039/D0MT00074D, Paper
Fabiane Bicca Obetine Baptista, Marina Lopes Machado, Aline da Silva Franzen, Larissa Marafiga Cordeiro, Tassia da Silveira, Leticia Arantes, Félix A. A. Soares
Huntington’s disease (HD) is an autosomal dominant, progressive neurodegenerative disease with a distinct phenotype. It occurs due to a mutation in huntingtin (or IT19) gene with abnormal CAG repeat, leading...
The content of this RSS Feed (c) The Royal Society of Chemistry




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A liver-targeting Cu(I) chelator relocates Cu in hepatocytes and promotes Cu excretion in a murine model of Wilson’s disease

Metallomics, 2020, Accepted Manuscript
DOI: 10.1039/D0MT00069H, Paper
Marie Monestier, AnaÏS M. Pujol, Aline Lamboux, Martine Cuillel, Isabelle Pignot-Paintrand, Doris Cassio, Peggy Charbonnier, Khémary Um, Amélie Harel, Sylvain BOHIC, Christelle GATEAU, Vincent Balter, Virginie Brun, Pascale Delangle, Elisabeth Mintz
Copper chelation is the most commonly used therapeutic strategy nowadays to treat Wilson’s disease, a genetic disorder primarily inducing a pathological accumulation of Cu in the liver. The mechanism of...
The content of this RSS Feed (c) The Royal Society of Chemistry




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Qing shao nian she hui gong zuo fu wu mo shi ji cheng xiao yan jiu : Guangzhou Shi Haizhu Qu "Qing nian di dai" de shi jian tan suo = A study of service model and effectiveness in youth social work : the exploration of "Youth Zone" in




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[ASAP] 4-Nitrophenol Reduction: Probing the Putative Mechanism of the Model Reaction

ACS Catalysis
DOI: 10.1021/acscatal.0c00725




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[ASAP] Methanol Synthesis from CO<sub>2</sub> Hydrogenation over a Potassium-Promoted Cu<italic toggle="yes"><sub>x</sub></italic>O/Cu(111) (<italic toggle="yes">x</italic> = 2) Model Sur

ACS Catalysis
DOI: 10.1021/acscatal.9b05226




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Superbike maker Triumph brings new models to push India sales

Triumph launched its 1,700-cc cruiser bike Thunderbird LT in India, priced at Rs 15.75 lakh in Delhi before local taxes. This is their 13th model.




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Podcast: Reading pain from the brains of infants, modeling digital faces, and wifi holograms

This week, we discuss the most accurate digital model of a human face to date, stray Wi-Fi signals that can be used to spy on a closed room, and artificial intelligence that can predict Supreme Court decisions with Online News Editor Catherine Matacic. Caroline Hartley joins Sarah Crespi to discuss a scan that can detect pain in babies—a useful tool when they can’t tell you whether something really hurts. Listen to previous podcasts. See more book segments.




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Cargo-sorting molecular robots, humans as the ultimate fire starters, and molecular modeling with quantum computers

This week we hear stories on the gut microbiome’s involvement in multiple sclerosis, how wildfires start—hint: It’s almost always people—and a new record in quantum computing with Online News Editor David Grimm. Andrew Wagner talks to Lulu Qian about DNA-based robots that can carry and sort cargo. Sarah Crespi goes behind the scenes with Science’s Photography Managing Editor Bill Douthitt to learn about snapping this week’s cover photo of the world’s smallest neutrino detector. Listen to previous podcasts. [Image: Curtis Perry/Flickr; Music: Jeffrey Cook]




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Next-generation cellphone signals could interfere with weather forecasts, and monitoring smoke from wildfires to model nuclear winter

In recent months, telecommunications companies in the United States have purchased a new part of the spectrum for use in 5G cellphone networks. Weather forecasters are concerned that these powerful signals could swamp out weaker signals from water vapor—which are in a nearby band and important for weather prediction. Freelance science writer Gabriel Popkin joins host Sarah Crespi to talk about the possible impact of cellphone signals on weather forecasting and some suggested regulations. In other weather news this week, Sarah talks with Pengfei Yu, a professor at Jinan University in Guangzhou, China, about his group’s work using a huge smoke plume from the 2017 wildfires in western Canada as a model for smoke from nuclear bombs. They found the wildfire smoke lofted itself 23 kilometers into the stratosphere, spread across the Northern Hemisphere, and took 8 months to dissipate, which line up with models of nuclear winter and suggests these fires can help predict the results of a nuclear war. This week’s episode was edited by Podigy. Ads on this week’s show: KiwiCo.com Download the transcript (PDF)  Listen to previous podcasts. About the Science Podcast




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How COVID-19 disease models shape shutdowns, and detecting emotions in mice

On this week’s show, Contributing Correspondent Kai Kupferschmidt talks with host Sarah Crespi about modeling coronavirus spread and the role of forecasts in national lockdowns and other pandemic policies. They also talk about the launch of a global trial of promising treatments. See all of our News coverage of the pandemic here. See all of our Research and Editorials here. Also this week, Nadine Gogolla, research group leader at the Max Planck Institute of Neurobiology, talks with Sarah about linking the facial expressions of mice to their emotional states using machine learning. This week’s episode was produced with help from Podigy. Listen to previous podcasts. About the Science Podcast Download a transcript (PDF)




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Vacuum in Particle Accelerators: Modelling, Design and Operation of Beam Vacuum Systems


 
A unique guide on how to model and make the best vacuum chambers

Vacuum in Particle Accelerators offers a comprehensive overview of ultra-high vacuum systems that are used in charge particle accelerators. The book?s contributors ? noted experts in the field ? also highlight the design and modeling of vacuum particle accelerators.

The book reviews vacuum requirements, identifies sources of gas in vacuum chambers and explores methods of removing them.

Read More...




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High cytotoxic activity of ZnO@leucovorin nanocomposite based materials against an MCF-7 cell model

Anal. Methods, 2020, 12,2176-2184
DOI: 10.1039/D0AY00498G, Paper
Mohamed Fathi Sanad, Esraa Samy Abu Serea, Shereen Magdy Bazid, Shimaa Nabih, Md Ariful Ahsan, Ahmed Esmail Shalan
In the current work, we design a multifunctional hybrid nanocomposite for treating MCF-7 cell lines, which act as a model for breast cancer cells, to overcome the serious side-effects of chemotherapy treatment pathways.
The content of this RSS Feed (c) The Royal Society of Chemistry




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New Advances in Statistical Modeling and Applications [electronic resource] / edited by António Pacheco, Rui Santos, Maria do Rosário Oliveira, Carlos Daniel Paulino

Cham : Springer International Publishing : Imprint: Springer, 2014




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Input Modeling with Phase-Type Distributions and Markov Models [electronic resource] : Theory and Applications / by Peter Buchholz, Jan Kriege, Iryna Felko

Cham : Springer International Publishing : Imprint: Springer, 2014




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Geometric Modeling in Probability and Statistics [electronic resource] / by Ovidiu Calin, Constantin Udrişte

Cham : Springer International Publishing : Imprint: Springer, 2014




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Synthesis, evaluation and molecular modelling of piceatannol analogues as arginase inhibitors

RSC Med. Chem., 2020, Advance Article
DOI: 10.1039/D0MD00011F, Research Article
J. Muller, B. Cardey, A. Zedet, C. Desingle, M. Grzybowski, P. Pomper, S. Foley, D. Harakat, C. Ramseyer, C. Girard, M. Pudlo
A quantum chemistry guided optimisation (leading to piceatannol analogue 3t) with a good understanding of the catechol binding mode to the bimanganese cluster of arginase.
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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Reinventing business models: how firms cope with disruption / Henk Volberda, Frans van den Bosch, Kevin Heij

Dewey Library - HD30.28.V66 2018




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Guide to truck activity data for emissions modeling / Christopher Porter, Timothy Grose, John Koupal, Kanok Boriboonsomsin, George Noel, Andrew Eilbert

Barker Library - TE7.N275 no.909




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Nodes in Transport Networks - Research, Data Analysis and Modelling: 16th Scientific and Technical Conference "Transport Systems. Theory and Practice 2019", Selected Papers / Elżbieta Macioszek, Nan Kang, Grzegorz Sierpiński, editors

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Structural modeling and experimental techniques / Harry G. Harris and Gajanan M. Sabnis

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The SMP concept-based 3D constitutive models for geomaterials / Hajime Matsuoka, De'an Sun

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Demand for emerging transportation systems: modeling adoption, satisfaction, and mobility patterns / edited by Constantinos Antoniou, Dimitrios Efthymiou, Emmanouil Chaniotakis

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Offshore risk assessment.: Principles, modelling and applications of QRA studies / Jan-Erik Vinnem, Willy Røed

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Offshore Risk Assessment.: Principles, Modelling and Applications of QRA Studies / Jan-Erik Vinnem, Willy Røed

Online Resource