Results 71 to 80 of about 3,485,547 (297)
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
wiley +1 more source
Gender Bias in Wikipedia and Britannica
Is there a bias in the against women’s representation in Wikipedia biographies? Thousands of biographical subjects, from six sources, are compared against the English-language Wikipedia and the online Encyclopædia Britannica with respect to coverage ...
Joseph Reagle, Lauren Rhue
doaj
BIAS GENDER DALAM BUKU PELAJARAN SKI TINGKAT MADRASAH IBTIDAIYAH
Abstrak: Artikel ini mengkaji persoalan bias gender dalam buku pelajaran Sejarah Kebudayaan Islam di tingkat Madrasah Ibtidaiyah. Secara khusus, akan diteliti sejauhmana kemungkinan bias gender dalam pelajaran SKI untuk domain materi, gambar, dan rubrik.
Abdul Gani Jamora Nasution
doaj +1 more source
Gender Bias in AI: Measuring and Debiasing Occupational Gender Representations in Large Language Models [PDF]
openGender bias in artificial intelligence (AI), particularly in large language models (LLM) such as LLaMA 2, presents a significant challenge, as these models are trained on vast datasets that often encode and reflect societal biases and gender ...
ANTONY SAHAYAM, ANNE LINDA
core
Mitigating Gender Bias in Machine Learning Data Sets [PDF]
International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020), Lisbon, Portugal (held online due to coronavirus outbreak) 14 April 2020Algorithmic bias has the capacity to amplify and perpetuate societal bias, and presents profound ...
Greene, Derek +7 more
core +1 more source
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Gender bias in publishing [PDF]
Jigyasa, Sharma, Danielle N, Poole
openaire +4 more sources
A theoretical model for analysing gender bias in medicine
During the last decades research has reported unmotivated differences in the treatment of women and men in various areas of clinical and academic medicine. There is an ongoing discussion on how to avoid such gender bias.
Johansson Eva E +2 more
doaj +1 more source
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto +12 more
wiley +1 more source

