Results 51 to 60 of about 25,341,143 (317)
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Using Optically Stimulated Luminescence to Unravel Sedimentary Processes of the Usumacinta and Grijalva Rivers (SE Mexico) [PDF]
This report provides an optically stimulated luminescence (OSL) chronology for sediment collected through terrace deposits of the Usumacinta and Grijalva rivers in SE Mexico.
Kinnaird, T.K. +2 more
core
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source
CLE-SH: Comprehensive Literal Explanation Package for SHapley Values by Statistical Validity
Recently, SHapley Additive exPlanations (SHAP) has been widely utilized in various research domains. This is particularly evident in application fields, where SHAP analysis serves as a crucial tool for identifying biomarkers and assisting in result ...
Kyungjin Kim, Youngro Lee, Jongmo Seo
doaj +1 more source
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou +8 more
wiley +1 more source
Interpretable Diagnostics with SHAP-Rule: Fuzzy Linguistic Explanations from SHAP Values
This study introduces SHAP-Rule, a novel explainable artificial intelligence method that integrates Shapley additive explanations with fuzzy logic to automatically generate interpretable linguistic IF-THEN rules for diagnostic tasks.
Alexandra I. Khalyasmaa +2 more
doaj +1 more source
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu +10 more
wiley +1 more source
This study employs statistical analysis to examine the impact of urban morphology on land surface temperature (LST). The findings reveal notable differences in LST across various Local Climate Zone (LCZ) types.
Yarui Wu, Rui Li, Tian Hu, Meijiali Wang
doaj +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source
This study systematically investigated the effects of concentration gradients (0 – 25 mg/L) of the active pharmaceutical ingredient chloroquine phosphate (CQ) on anaerobic digestion performance and microbial response mechanisms, with a focus on its ...
Shuting ZHANG +9 more
doaj +1 more source

