Download full-text PDF

Source

Publication Analysis

Top Keywords

[attempt classification
4
classification endocrine
4
endocrine sexual
4
sexual tumors
4
tumors ovary]
4
[attempt
1
endocrine
1
sexual
1
tumors
1
ovary]
1

Similar Publications

The aim of this study was to detect chicken parvovirus (ChPV) and turkey parvovirus (TuPV) on Turkish poultry farms and examine the molecular epidemiology of these viruses. In 2023, a total of 1,060 fecal samples were collected from 76 broiler farms and 30 turkey farms across various regions of Turkiye. The overall positivity rate was 72.

View Article and Find Full Text PDF

Purpose Of Review: Trigeminal neuralgia (TN) is a highly heterogeneous condition with a wide choice of successful treatment options. However, differences between subtypes are poorly understood and it remains unknown which patients will respond to different treatments. This review aims to summarize the current state of the TN field and explore the problem of predicting surgical outcomes.

View Article and Find Full Text PDF

This article unravels the classification of individuals which operated through the dualism between two execution methods, strangulation and decapitation, during the Qing dynasty. The fundamental difference lay in whether the method of execution preserved the integrity of the corpse. As this factor entailed important moral and metaphysical consequences, there is an uncrossable boundary between the two situations.

View Article and Find Full Text PDF

Background: A previous study showed that airway ultrasound, specifically the distance from the skin to the hyoid bone (DSHB), may be correlated with a higher risk of difficult mask ventilation (DMV). However, the study was conducted in Italy and lacks data for the Asian and Thai populations. This study aimed to predict DMV using pre-operative ultrasonography to measure the DSHB and from the skin to the thyroid isthmus (DSTI) in Thai patients undergoing elective surgery under general anesthesia.

View Article and Find Full Text PDF

Reducing bias in source-free unsupervised domain adaptation for regression.

Neural Netw

January 2025

Luca Healthcare R&D, Shanghai, 200000, China. Electronic address:

Due to data privacy and storage concerns, Source-Free Unsupervised Domain Adaptation (SFUDA) focuses on improving an unlabelled target domain by leveraging a pre-trained source model without access to source data. While existing studies attempt to train target models by mitigating biases induced by noisy pseudo labels, they often lack theoretical guarantees for fully reducing biases and have predominantly addressed classification tasks rather than regression ones. To address these gaps, our analysis delves into the generalisation error bound of the target model, aiming to understand the intrinsic limitations of pseudo-label-based SFUDA methods.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!