Results 101 to 110 of about 2,888,152 (219)

Experienced and internalized weight stigma among Spanish adolescents

BMC Public Health
Background and objective Weight stigma has negative consequences for both physiological and psychological health. Studies on weight stigma in adolescence, particularly from general populations, are scarce in the Mediterranean area.
Dimitra Anastasiadou, Salomé Tárrega, Albert Fornieles-Deu, Albert Moncada-Ribera, Anna Bach-Faig, David Sánchez-Carracedo   +5 more
doaj   +1 more source

Body Checking and Body Image Avoidance as Partial Mediators of the Relationship between Internalized Weight Bias and Body Dissatisfaction. [PDF]

Int J Environ Res Public Health, 2022
Bennett BL, Wagner AF, Latner JD.
europepmc   +1 more source

Psychometric testing on two weight stigma instruments in Iran : Weight Self-Stigma Questionnaire and Weight Bias Internalized Scale

, 2020
PURPOSE: This study aimed to comprehensively and thoroughly examine the psychometric properties of two commonly used weight-related self-stigma instruments on Iranian adolescents with overweight or obesity: Weight Self-Stigma Questionnaire [WSSQ] and ...
Lin, Chung-Ying,, Pakpour, Amir H.,, Imani, Vida,, Cheung, Pauline,   +3 more
core   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Rational Design of a Synthetic Galliphore for the Diagnostic Nuclear Imaging and Treatment of Bacterial Infections

Angewandte Chemie, EarlyView.
KO‐NH2 is a synthetic metallophore that preferentially binds Ga3+ over Fe3+ and is recognized by bacterial transporters. Photocrosslinking identifies CirA and Fiu as key uptake proteins in E. coli. KO‐NH2 enables targeted imaging and treatment of E. coli soft tissue infections.
Phuong Nguyen Tran, Axia Marlin, Edith K. Amason, Marie Huynh, Hannah Carlisle, Eszter Boros   +5 more
wiley   +2 more sources

Experienced weight stigma, internalized weight bias, and clinical attrition in a medical weight loss patient sample. [PDF]

Int J Obes (Lond), 2022
Verhaak AMS, Ferrand J, Puhl RM, Tishler DS, Papasavas PK, Umashanker D.   +5 more
europepmc   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Binge Eating and Internalized Weight Bias Among Racial/Ethnic and Sexual Minorities: Implications for Multicultural Counseling

, 2019
The current quasi-experimental study examined the relationship between internalized weight bias and binge-eating severity among racial/ethnic and sexual minorities. The moderating effects of minority status also were explored.
Favre, LaToya R
core   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Assessment of In Vitro Nano‐Cytotoxicity Through Fluorescence Microscopy via Neural Network‐Based Live/Dead Cell Classification

Advanced Intelligent Systems, EarlyView.
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran, Ali Gasimli, Lal Durmaz, Diya Vashani, Himish Paul, Giridhar R. Akkaraju, Anton V. Naumov   +6 more
wiley   +1 more source