Results 41 to 50 of about 536,792 (311)

Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the utility of smartwatch and smartphone‐based activity metrics for assessing disease severity and quality of life in patients with chronic inflammatory demyelinating polyneuropathy (CIDP). Methods In the electronic monitoring of disease activity in patients with CIDP (EMDA‐CIDP) trial, we performed a prospective ...
Lars Masanneck, Jan Voth, Noëmi Gmahl, Konstantin Jendretzky, Niklas Huntemann, Noah M. Werner, Linea Schmidt, Menekse Oeztuerk, Paula Quint, Christina B. Schroeter, Hans Peter Hartung, Thomas Skripuletz, Gerd Meyer zu Hörste, Tobias Ruck, Sven G. Meuth, Marc Pawlitzki   +15 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Poželjne karakteristike jezika za poučavanje programiranja u osnovnoj školi [PDF]

, 2017
U radu su navedene i pojašnjene poželjne karakteristike jezika za poučavanje programiranja. Uspoređeni su programski jezici Logo, Scratch i Python. Također, argumentirano je jesu li primjereni za poučavanje programiranja u osnovnoj školi, što postaje sve
Radošević, Matea
core   +1 more source

A QA system for learning python [PDF]

, 2017
This article proposes a Question Answering System that can automatically answer to questions presented in a natural language about the Python programming language. A system of this kind aims at the interaction with a human.
Henriques, Pedro Rangel, Pereira, Maria João, Ramos, Marcos   +2 more
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Engineering Highly Cellularized Living Materials via Mechanical Agitation

Advanced Functional Materials, EarlyView.
A mechanical agitation strategy is developed to engineer highly cellularized living materials, achieving cell densities of up to 1 billion cells per milliliter. By precisely tuning properties such as stiffness and toughness in blood clots, the approach is validated in both in vitro and in vivo studies.
Aram Bahmani, Shiyu Liu, Evan Johnston, Weiyi Wan, Xiaoyi Lan, Tianqin Ning, Alexander Nottegar, Ran Huo, Shuaibing Jiang, Jianyu Li   +9 more
wiley   +1 more source

Algorithmic Programming Language Identification [PDF]

, 2011
Motivated by the amount of code that goes unidentified on the web, we introduce a practical method for algorithmically identifying the programming language of source code. Our work is based on supervised learning and intelligent statistical features.
Klein, David, Murray, Kyle, Weber, Simon
core  

Automating tasks in protein structure determination with the Clipper Python module [PDF]

, 2017
Scripting programming languages provide the fastest means of prototyping complex functionality. Those with a syntax and grammar resembling human language also greatly enhance the maintainability of the produced source code.
Adams, Agirre, Bibby, Blum, Burnley, Cowtan, Cowtan, Emsley, Evans, Fernandez-Leiro, Foadi, Goddard, Grosse-Kunstleve, Hunter, Joosten, Kabsch, Keegan, Keegan, Langer, Long, McNicholas, Murshudov, Panjikar, Parkhurst, Patterson, Rodriguez, Roseman, Sammito, Scheres, Skubak, Sparta, Tange, Topf, Vonrhein, Walt, Waterman, Webb, Winn, Winter   +38 more
core   +1 more source

Bioengineering a Patient‐Derived Vascularized Lung Tumor‐on‐Chip Model to Decipher Immunomodulation by the Endothelium

Advanced Healthcare Materials, EarlyView.
Most in vitro cancer models lack cellular diversity, functional complexity, and clinical relevance. This work highlights the generation of an innovative dynamic tetraculture with autologous patient‐derived cells within a vascularized tumor‐on‐chip, as well as the recapitulation of endothelial anergy features induced by the tumor microenvironment ...
Christine Lansche, Ségolène Ladaigue, Giacomo Gropplero, Nicolas Zimmermann, Martin Nurmik, Irina Veith, Manh‐Louis Nguyen, Solenn Brosseau, Nicolas Poté, Pierre Mordant, Arnaud Roussel, Fathia Mami‐Chouaib, Fatima Mechta‐Grigoriou, Gérard Zalcman, Fabrice Soncin, Stéphanie Descroix, Maria Carla Parrini   +16 more
wiley   +1 more source

Quasar: A Programming Framework for Rapid Prototyping [PDF]

, 2016
We present a new programming framework, Quasar, which facilitates GPU programming. Our high-level programming language relieves the developer of all implementation details such that he can focus on the algorithm and the required accuracy.
De Vylder, Jonas, Goossens, Bart
core   +1 more source