Based on daily data from China's money market between March and April 2025, this study investigates the short-term effects of the People's Bank of China's (PBC) reverse repo operations on the overnight interbank rate (O/N Shibor). Using Ordinary Least Squares (OLS) regression and an event-study appr...

Full-cycle management of greenhouse tomato requires continuous information on crop state together with estimates of daily water and nutrient use, yet destructive biomass measurements are sparse, and a single fixed model shared across resources is prone to stage-dependent negative transfer. This stud...

Multiple-choice questions (MCQs) are widely used in higher education because they efficiently assess knowledge and a broad range of cognitive skills across disciplines. This study examines how MCQ-based assessments contribute to predicting final student grades, using data from 2,390 students (compri...

Entity boundaries, confusable entity types and surface forms absent from the training data all make it harder to extract structured information from agricultural pest and disease texts. We examined whether single-step adversarial training of word embeddings with the fast gradient method (FGM) improv...

Multilingual access to medieval literature requires retrieval systems to bridge historical and cross-lingual semantic variation. This article introduces HistRAG, a language-aware framework combining lexical retrieval, multilingual dense representations, historical adaptation, hybrid fusion, and cros...

Tomato disease knowledge is scattered across agronomic texts and leaf images from heterogeneous sources, and static knowledge graphs that write extraction outputs directly to a database cannot separate model candidates from currently valid facts. We construct a multimodal knowledge graph for tomato...

Geo-energy systems involve heterogeneous subsurface properties, irregular spatial structures, and complex interactions. Conventional data-driven models either treat observations independently or rely on graph connectivity without explicitly encoding relative geometry, which limits their ability to d...

Medical image processing by computers has become an area of growing importance, with researchers shifting their attention to various groundbreaking state-of-the-art models that aim to ease the pressure on doctors. Notwithstanding, image segmentation and feature extraction are critical yet challengin...

Brain tumors are a critical and challenging health issue worldwide, and they often reduce patient survival if they are not identified at an early stage. This study presents an automatic approach to identify and classify brain tumor magnetic resonance imaging (MRI) scans using several pre-trained dee...

This work examines steady, laminar, axisymmetric flow of an electrically conducting upper-convected Maxwell fluid over a stretching cylinder embedded in a Darcy porous medium, with Joule heating, viscous dissipation and Newtonian (conjugate) wall heating acting together. Similarity transformations r...