Results 231 to 240 of about 1,347,746 (312)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Mitigating bias in multilabel medical text classification: a cooperative training framework with dynamic debiasing. [PDF]

Bioinformatics
Li P, Zhang X, Hu X, Lin Z, Zhou D.
europepmc   +1 more source

Glucosinolate and Isothiocyanate Profiles in Different Varieties of Raphanus sativus Seed via Multivariate Data Analysis

AgriFood: Journal of Agricultural Products for Food, EarlyView.
Through HPLC–MS/MS analysis and multivariate statistics, raphani semen (RS) varieties with high functional components were screened. The white raphani semen “Xuebawang” was identified as ideal for further study due to its high bioactive content: glucoraphenin (9010.27 mg/100 g), glucoraphanin (1027.76 mg/100 g), sulforaphane (66.14 mg/100 g), and ...
Yonghua Li, Dongmei Lin, Peng Wu, Rui Gao, Jingxiu Bi, Yuying Jiang, Tong Zhao, Xuexia Yuan, Jianhan Xu, Pingxiang Liu, Yutao Wang   +10 more
wiley   +1 more source

Spatial Feature Structure Generation Network for Airborne LiDAR Point Cloud Semantic Segmentation. [PDF]

Sensors (Basel)
Guo T, Tian Z, Liu X, Leng B, Mi G.
europepmc   +1 more source

Robustness of Llama3 F1 Scores Under Mixed Data Ratios and Adversarial Contamination

This report synthesises findings from 15 peer-reviewed papers addressing the following research question: What is the impact of mixed human- and LLM-generated data ratios on the F1-score robustness of Llama3 models fine-tuned with different alignment techniques under increasing adversarial contamination.
openaire   +1 more source

Guidelines for Detecting the Foodborne Antibiotic‐Resistant Bacteria

AgriFood: Journal of Agricultural Products for Food, EarlyView.
ABSTRACT Foodborne antibiotic‐resistant bacteria threaten global public health and the economic. Standardized detection methods are crucial for effective prevention and control. Researchers encounter difficulties in choosing suitable techniques due to the variety of available approaches and the intricate nature of resistance mechanisms.
Yuanye Zeng, Fengxia Yang
wiley   +1 more source

Fine-tuning and structured prompting strategies for question answering over full-text biomedical research articles. [PDF]

PLoS One
Tao K, Satija R, Zhou J, Osman ZA, Ahluwalia V, Sabatti C, Shafer RW.   +6 more
europepmc   +1 more source

Novel Generative Metrics vs. F1-Scores for Robust Tabular Data Evaluation

This report synthesises findings from 10 peer-reviewed papers addressing the following research question: What is the comparative robustness of novel generative evaluation metrics versus traditional F1-scores when assessing model performance on progressively sparsified tabular datasets.
openaire   +1 more source

A Machine Learning Model for Predicting Posthepatectomy Liver Failure After Hepatectomy With Extrahepatic Bile Duct Resection for Perihilar Cholangiocarcinoma: With and Without Indocyanine Green

Annals of Gastroenterological Surgery, EarlyView.
Using machine learning‐based decision tree models, patients with perihilar cholangiocarcinoma undergoing major hepatectomy with extrahepatic bile duct resection were stratified according to the risk of posthepatectomy liver failure. Separate models were developed with and without indocyanine green data, enabling clinically interpretable preoperative ...
Yuki Homma, Hiroki Ohya, Ryusei Matsuyama, Isamu Hosokawa, Tsukasa Takayashiki, Yusuke Ome, Shuichiro Uemura, Ryota Higuchi, Goro Honda, Eiryo Kawakami, Masayuki Ohtsuka, Itaru Endo   +11 more
wiley   +1 more source

Essential Updates 2024–2025: Surgical Strategy for Esophageal Cancer Toward a New Paradigm in the Era of Immunotherapy and Personalization

Annals of Gastroenterological Surgery, EarlyView.
This review summarizes key advances from 2024 to 2025 that are reshaping esophageal cancer surgery toward a strategy‐oriented, personalized paradigm through the integration of immunotherapy, population aging, and intelligent technologies. Adjuvant nivolumab after neoadjuvant chemoradiotherapy remains the only perioperative approach with durable benefit,
Shuichiro Oya, Koichi Yagi, Yoshifumi Baba   +2 more
wiley   +1 more source