Results 101 to 110 of about 1,887,060 (321)

Evaluation of the musculoskeletal disorders and its risk factors in the workers of an agricultural equipment- manufacturing plant [PDF]

طب کار, 2011
Background: Musculoskeletal disorders (MSDs) are caused by chronic and long-term exposure to ergonomic factors or by an acute injury. MSDs are the most important cause of work hour loss and medical costs in the workplace.
M Mostaghaci, Z Salimi, M Javaheri, Sf Hoseininejad, M Salehi, Mh Davari, Ah Mehrparvar   +6 more
doaj   +2 more sources

Automatically identifying social isolation from clinical narratives for patients with prostate Cancer

BMC Medical Informatics and Decision Making, 2019
Background Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in electronic health records (EHR ...
Vivienne J Zhu, Leslie A Lenert, Brian E Bunnell, Jihad S Obeid, Melanie Jefferson, Chanita Hughes Halbert   +5 more
doaj   +1 more source

Enhancing Synaptic Plasticity in Strontium Titanate‐Based Sensory Processing Devices: A Study on Oxygen Vacancy Modulation and Performance in Artificial Neural Networks

Advanced Intelligent Discovery, EarlyView.
This article presents the artificial synapse based on strontium titanate thin films via spin‐coating followed by forming gas annealing to introduce oxygen vacancies. Characterizations (X‐ray photoelectron spectroscopy, electron paramagnetic resonance, Ultraviolet photoelectron spectroscopy (UPS)) confirm increased oxygen vacancies and downward energy ...
Fandi Chen, Zijian Feng, Shuo Zhang, Jie Min, Long Hu, Tianxu Huang, Tingting Mei, Jiyun Kim, Beining Dong, Xinyu Ma, Tao Yin, Jintao Wang, Peiyuan Guan, Tao Wan, Chun‐Ho Lin, Zhi Li, Dewei Chu   +16 more
wiley   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

BCAS: A Web-enabled and GIS-based Decision Support System for the Diagnosis and Treatment of Breast Cancer [PDF]

, 2001
For decades, geographical variations in cancer rates have been observed but the precise determinants of such geographic differences in breast cancer development are unclear. Various statistical models have been proposed.
Adya, Monica, Forgionne, Guisseppi A., Gangopadhyay, Aryya, Tan, Joseph K.   +3 more
core   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Tracking Report 2008 Puma, Vietnam 360084100G [PDF]

, 2008
This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide.
Fair Labor Association
core   +1 more source