Results 151 to 160 of about 1,865,676 (307)

DIGITALISATION OF TEACHING AND LEARNING METHODS IN STATISTICS [PDF]

Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
The aim of this article is to analyse the digitalisation of teaching and learning methods in statistics. A dataset of 49 open-access papers published in WoS journals between 2010 and 2025 was analysed.
DANIELA-EMANUELA DĂNĂCICĂ
doaj  

Aberrant Splicing Signatures Underpin Oligodendrocyte Damage in ALS and Neuron Loss in FTD

Advanced Science, EarlyView.
Integrating bulk and single‐nucleus RNA‐seq from ALS and FTD patients, we revealed distinct cellular dysfunctions, with severe oligodendrocyte damage in ALS and pronounced neuron loss in FTD. We identified cell‐type‐specific aberrant splicing events as potential biomarkers with robust classification performance, some of which produce de novo peptides ...
Chen Du, Yinming Li, Rong Wu, Yufei Shen, Jiayi Yang, Xuan Xiao, Yu Zhou   +6 more
wiley   +1 more source

A Wireless, Battery‐Free Artificial Throat Patch with Deep Learning for Emotional Speech Recognition

Advanced Science, EarlyView.
In this work, Xu and co‐workers develop a wireless, battery‐free artificial throat patch system (ATPS) consisting of a carbon nanotube‐based thin‐film strain sensor and a miniaturized flexible printed circuit board, to enable real‐time sensing of throat signals.
Bingxin Xu, Guanming Lin, Xiaohui Hong, Chuting Liu, Xinyi Qu, Kangjian Jiao, Lei Zhang, Bingzhe Xu, Jun Yan, Yancong Qiao, Xudong Lin   +10 more
wiley   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

University Students' Innovative Thinking Training Based on Grounded Theory: An In-Depth Analysis of Teaching Methods and Practices. [PDF]

J Med Educ Curric Dev
He Y, Sun L, Wu G, Wang L, Tan Y.
europepmc   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Innovative Approach to Understanding Complex Neuroanatomy Through 'Acting-Out', Immersive 3D Modelling. [PDF]

Clin Teach
Kulow C, Sandrock M.
europepmc   +1 more source

Dual Bipolar Resistive Switching in Wafer‐Scalable 2D Perovskite Oxide Nanosheets‐Based Memristor

Advanced Science, EarlyView.
A wafer‐scalable memristor based on 2D Sr2Nb3O₁₀ perovskite oxide nanosheets exhibits dual bipolar resistive switching through controllable oxygen ion migration and redox reactions. This single device enables both STDP and anti‐STDP synaptic functions, achieving 86.4% MNIST accuracy in supervised spiking neural networks, offering a compact, energy ...
Sohwi Kim, Chansoo Yoon, Haena Yim, Taeyoon Kim, Hoyoung Suh, Woohyeon Ryu, Gwangtaek Oh, Jihoon Jeon, Kwanyoung Oh, Yeonjoo Jeong, Ji‐Won Choi, Bae Ho Park   +11 more
wiley   +1 more source

Better teaching in the intensive care unit: navigating a complex, multi-disciplinary learning environment. [PDF]

Crit Care
Guinat M, Vincent JL.
europepmc   +1 more source

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction

Advanced Science, EarlyView.
Chromatin loops are central to gene regulation and 3D genome organization. Leveraging Nanopore sequencing's ability to jointly capture DNA sequence and methylation, we present NanoLoop, the first framework for genome‐wide chromatin loop prediction using Nanopore data.
Wenjie Huang, Li Tang, Matthew C. Hill, Yonghao Zhang, Jun Xie, Min Li   +5 more
wiley   +1 more source