Results 151 to 160 of about 6,442,831 (407)
Aging and Cancer, EarlyView.ABSTRACT Purpose To assess the long‐term effects of a community cancer exercise program on quality of life, fatigue, weight, waist circumference, physical activity levels, lower extremity strength, body mass index (BMI), heart rate, and blood pressure, across non‐metastatic and metastatic patients.
Isaac Oppong, Roozbeh Naemi
wiley +1 more source
SYRCLE’s risk of bias tool for animal studies
BMC Medical Research Methodology, 2014 BackgroundSystematic Reviews (SRs) of experimental animal studies are not yet common practice, but awareness of the merits of conducting such SRs is steadily increasing.
C. Hooijmans +5 more
semanticscholar +1 more source
Feature-Wise Bias Amplification [PDF]
arXiv, 2018 We study the phenomenon of bias amplification in classifiers, wherein a machine learning model learns to predict classes with a greater disparity than the underlying ground truth. We demonstrate that bias amplification can arise via an inductive bias in gradient descent methods that results in the overestimation of the importance of moderately ...
arxiv
International Journal of Cardiology: Heart & Vasculature, 2022 Background: Direct oral anticoagulants (DOACs) are the preferred choice of oral anticoagulation in patients with atrial fibrillation (AF). Randomized trials have demonstrated the efficacy and safety of DOAC in patients undergoing a cardiac implantable ...
John de Heide +9 more
doaj
Marine Drugs, 2016 Economic exploitation is one means to offset the cost of controlling invasive species, such as the introduced Pacific oyster (Crassostrea gigas Thunberg) on the French Atlantic coast.
Flore Dagorn +6 more
doaj +1 more source
Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception [PDF]
arXivThe pervasive spread of misinformation and disinformation in social media underscores the critical importance of detecting media bias. While robust Large Language Models (LLMs) have emerged as foundational tools for bias prediction, concerns about inherent biases within these models persist.
arxiv
Kinerja Aplikasi Client Server untuk Sistem Informasi Tumbuh Kembang Balita [PDF]
, 2014 Pada saat ini aplikasi web merupakan sumber untuk mencari informasi secara modern yang berkembang sangat cepat. Dalam pembuatan aplikasi web tidak hanya sisi desain dan informasi yang perlu diperhatikan tetapi dalam aspek keamanan dan kinerja dari ...
, Endah Sudarmilah, S.T., M.Eng +1 more
core
Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash +3 more
wiley +1 more source
Analyzing Correlations Between Intrinsic and Extrinsic Bias Metrics of Static Word Embeddings With Their Measuring Biases Aligned [PDF]
arXivWe examine the abilities of intrinsic bias metrics of static word embeddings to predict whether Natural Language Processing (NLP) systems exhibit biased behavior. A word embedding is one of the fundamental NLP technologies that represents the meanings of words through real vectors, and problematically, it also learns social biases such as stereotypes ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan +6 more
wiley +1 more source