Results 191 to 200 of about 353,439 (278)

Caught in the fire: An accidental ethnography of discomfort in researching sex work

Feminist Anthropology, EarlyView.
Abstract Drawing on fifteen years of engagement with researching Israel's sex industry, this article uses accidental ethnography to propose discomfort‐as‐method for feminist anthropology. I argue that discomfort is not a by‐product of fieldwork but a constitutive condition that disciplines researchers and shapes what can be known.
Yeela Lahav‐Raz
wiley   +1 more source

Semi-Supervised Seven-Segment LED Display Recognition with an Integrated Data-Acquisition Framework. [PDF]

Sensors (Basel)
Xiang X, Zhu C, Ou Z, Zhang Q, Zheng S, Chen Z.   +5 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Enhanced Magnetic Resonance Imaging-Based Knee Cartilage Segmentation Using a Swin-UNet Conditional Generative Adversarial Network: Development and Validation Study.

JMIR Med Inform
Park JY, Nam JH, Abdigapporov S, Kim JK, Koh YG, Cho BW, Kwon HM, Park KK, Kang KT.   +8 more
europepmc   +1 more source

Decoding Non-Invasive Electroencephalography Signal via a Two-Discriminator Adversarial Network. [PDF]

Sensors (Basel)
Liu X, Yu C, Li Y, Zhang X, Zhang X.
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Health Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source

Adversarial Systems and Adversarial Mindsets: Do We Need Either? [PDF]

Bond Law Review
William van Caenegem
doaj  

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction. [PDF]

PLoS Comput Biol
Zhao M, Tang X, Li J, Liang C, Tang J, Guo F.   +5 more
europepmc   +1 more source

Organoids and organ‐on‐a‐chip models for investigating the pathophysiology of the human reproductive system

Interdisciplinary Medicine, EarlyView.
Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang, Shiwen Deng, Fangfang Jin, Jiayao Qu, Xiang Fan, Peng Chen, Xinrong Fan   +6 more
wiley   +1 more source