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Deep neural network model for fractional-order cancer chemotherapy dynamics

Gnetum montanum extract attenuates lipopolysaccharide induced acute lung inflammation through Nrf2 and heme oxygenase 1 mediated redox modulation in macrophages

Feasibility and acceptability of HPV testing using GeneXpert for cervical cancer screening in Morocco

Predicting guide dog career success using machine learning and large language models

Abstract Guide dogs play essential roles in supporting independence and well-being of visually impaired people. High attrition rates underscore the need for more effective early prediction of dog suitability for a guide dog career. This study presents a novel data-driven framework that integrates machine learning and large language models to predict guide dog training outcomes using data from the Israel Guide Dog Center (IGDC). The dataset included structured Behavior Checklist (BCL) assessments and unstructured trainer textual comments collected from 990 dogs at the pre-training stage. Incorporating trainer comments alongside structured behavioral assessments led to a substantial improvement in predictive performance compared to models based on BCL data alone. Furthermore, the pipeline generated interpretable textual explanations of model predictions, which were empirically evaluated by two experienced guide dog trainers. The findings highlight the potential of combining structured behavioral metrics with natural language data to enhance predictive accuracy and decision support in guide dog selection and training.

Effect of mixing sequence and carbon nanotube loading on the mechanical, thermal, and rheological properties of PLA/TPU nanocomposites

Experimental and simulation orthogonal ghost imaging for measurement-domain optical steganography

Regime-based interpretation of groundwater pollution using Gaussian mixture modelling and water pollution index in aquifer systems

SARLite: enhanced lightweight YOLO framework for SAR object detection

The anticancer properties of dexmedetomidine in papillary thyroid cancer and its underlying mechanisms

Physicochemical synergy and rheological performance of asphalt mastics modified with industrial waste precipitated calcium carbonate

Nitrate reductase-mediated production of nitric oxide enhances cold tolerance in rice seedlings

Correction: Climate-driven shifts in marine habitat explain recent declines of Japanese Chum salmon

Enhancing the storage capacity of tungsten oxides by gaseous nitriding

From local textures to global attention: a hybrid feature fusion network for skin lesion classification

Sequence sort: A new non-dominated sorting algorithm for evolutionary multi-objective optimization

Transcriptional responses of reef-building coral Leptoria phrygia to localized thermal anomalies: a seasonal and experimental approach

High-throughput olive germplasm classification using morphological phenotyping and machine learning

Prediction of the respiratory disease incidence based on environmental factors using machine learning techniques in Penang, Malaysia

Machine learning-based mortality prediction for pediatric fulminant myocarditis using cytokine profiles

Introducing silica-solubilizing and plant growth-promoting bacteria from sugarcane as inducers of drought stress tolerance