Results 71 to 80 of about 106,702 (317)

Primary Sources Tutorial

, 2005
A simple online tutorial to teach students what primary sources ...
Nelson, Shawn T.
core  

WBAN Tutorial [PDF]

, 2019
Our aim is to provide a tutorial to introduce WBAN and its working knowledge as well as architecture. We will address Emergency health issues and suggest how it can be improved [1].
Nazir, Rana
core  

tea-tutorial v1

, 2015
A tutorial introduction to Tea, an R package for survey ...
b-k
core   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Tutorial: geração do RDS [PDF]

Apresenta o tutorial para geração do RDS (Relatório de Desempenho Setorial) utilizando o painel BI de resultados ...
Coordenadoria de Planejamento Estratégico (CPES), Assessoria de Gestão Estratégica (AGE), Brasil. Superior Tribunal de Justiça (STJ)   +2 more
core  

christian-tutorial-data-STAMPS2019

, 2019
christian-tutorial-data ...
Mike Lee (4372780)
core   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Practical considerations for high-fidelity wavefront shaping experiments

JPhys Photonics
Wavefront shaping (WFS) is a technique for directing light through turbid media. The theoretical aspects of WFS are well understood, and under near-ideal experimental conditions, accurate predictions for the expected signal enhancement can be given.
Bahareh Mastiani, Daniël W S Cox, Ivo M Vellekoop   +2 more
doaj   +1 more source