Results 61 to 70 of about 87,048 (263)

RIG‐I Mediated Neuron‐Specific IFN Type 1 Signaling in FUS‐ALS Induces Neurodegeneration and Offers New Biomarker‐Driven Individualized Treatment Options for (FUS‐)ALS

Advanced Science, EarlyView.
Using iPSC‐derived motoneurons and postmortem tissue from FUS‐ALS patients, it is demonstrated that increased mitochondrial transcription leads to elevated cytosolic double‐stranded RNA (dsRNA) levels. This aberrant accumulation activates a RIG‐I–dependent innate immune response leading to neurodegeneration, which is amenable for FDA‐ and EMA‐approved ...
Marcel Naumann, Theresa M. Wierschin, Stefanie Kretschmer, Banaja P. Dash, Aaron Held, Andrea Salzinger, Kevin Peikert, Anže Karlek, Hannes Glaß, Dajana Großmann, René Günther, Susanne Petri, Annekathrin Rödiger, David Brenner, Francisco Pan‐Montojo, Eleonora Aronica, Markus Kipp, Vitaly Zimyanin, Jared Sterneckert, Torsten Grehl, Noah D. Seebacher, Tobias M. Böckers, Alberto Catanese, Brian J. Wainger, Patrick Oeckl, Min Ae Lee‐Kirsch, Andreas Hermann   +26 more
wiley   +1 more source

Parametrizando ejercicios con Python y LaTeX: una novedosa estrategia para generación de materiales de enseñanza y evaluación en matemáticas (Parameterizing exercises with Python and LaTeX: a novel strategy for generating teaching and assessment materials inmathematics)

Revista Digital Matemática, Educación e Internet
En este artículo se presenta una propuesta novedosa para su uso en docencia, que consiste en la construcción de ejercicios generados a partir de una estructura base con parámetros pseudoaleatorios, de manera que al sustituirlos con valores particulares ...
Jorge Arroyo Hernández, Federico Mora Mora, Eithel Trigueros Rodríguez, Karen Porras Lizano   +3 more
doaj   +1 more source

The Long Wavelength Array Software Library

, 2012
The Long Wavelength Array Software Library (LSL) is a Python module that provides a collection of utilities to analyze and export data collected at the first station of the Long Wavelength Array, LWA1.
Clarke, Tracy, Dowell, Jayce, Ray, Paul S., Stovall, Kevin, Taylor, Gregory, Wood, Daniel   +5 more
core   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

Fermipy: An open-source Python package for analysis of Fermi-LAT Data

, 2017
Fermipy is an open-source python framework that facilitates analysis of data collected by the Fermi Large Area Telescope (LAT). Fermipy is built on the Fermi Science Tools, the publicly available software suite provided by NASA for the LAT mission ...
Caputo, Regina, Charles, Eric, Di Mauro, Mattia, Magill, Jeffrey, Perkins, Jeremy, Wood, Matthew   +5 more
core   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source

PySSM: A Python Module for Bayesian Inference of Linear Gaussian State Space Models

Journal of Statistical Software, 2014
PySSM is a Python package that has been developed for the analysis of time series using linear Gaussian state space models. PySSM is easy to use; models can be set up quickly and efficiently and a variety of different settings are available to the user ...
Christopher Strickland, Robert Burdett, Kerrie Mengersen, Robert Denham   +3 more
doaj   +1 more source

Behavior‐ and Cell Type‐Specific Cortico‐Striatal Decoupling in a Parkinson's Disease‐Like Mouse Model

Advanced Science, EarlyView.
Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao, Yang Liu, Wei‐Tong Zheng, Mao‐Qing Huang, Kai‐Wen He   +4 more
wiley   +1 more source

PyGenAlgo: A simple and powerful toolkit for genetic algorithms

SoftwareX
Genetic algorithms (GAs) are meta-heuristic algorithms that are used for solving constrained and unconstrained optimization problems, mimicking the process of natural selection in biological evolution.
Michail D. Vrettas, Stefano Silvestri
doaj   +1 more source

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

Advanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang, Ronghui Ju, Feng Chen, Qingming Luo, Hui Gong, Andrew Zalesky, Xiaoquan Yang, Yuanjing Feng, Zheng Wang   +17 more
wiley   +1 more source