Glaciers in Tajikistan serve as a crucial water source in Central Asia. However, existing glacier data products suffer from several limitations, including outdated temporal coverage, coarse spatial resolution, and inadequate mapping of debris-covered... read more
A hybrid modeling framework integrating experiments, CONVERGE CFD, and Optuna-optimized ensemble machine learning is developed to predict and optimize performance and emission characteristics of a DI-CI engine fueled with butanol/diesel blends. Machi... read more
Treatment decisions for lower-grade gliomas (WHO grades 2-3) rest on trial averages, which lack temporal resolution. We applied Causal Analysis of Survival Trajectories (CAST), a causal-machine-learning method that builds treatment-effect trajectorie... read more
BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving needs. The rise of artificial intelligence (AI) has created new opportunities and challenges for support... read more
BACKGROUND: Accurate measurement of minimum macular hole (MH) diameter is essential for diagnosis and treatment. The manual measurement approach by ophthalmologists is time-consuming, poorly reproducible, and exhibits high inter-observer variability.... read more
INTRODUCTION: Anatomy teaching in preclinical medical education has become increasingly compressed, making it more difficult for students to integrate foundational anatomical knowledge with clinical reasoning. Upper limb nerve lesions are particularl... read more
BMC medical informatics and decision making
May 23, 2026
Sepsis-induced myocardial dysfunction (SIMD) is a common and heterogeneous complication in patients with sepsis and is associated with increased mortality. This study aimed to identify distinct clinical phenotypes of SIMD using unsupervised deep lear... read more
BACKGROUND: Endoscopic third ventriculostomy with choroid plexus cauterization (ETV/CPC) offers an alternative to shunt placement for infant hydrocephalus, avoiding shunt-related complications when successful. However, approximately 40% of procedures... read more
Azo dyes are the most widely used class of synthetic colorants in textile and related industries; however, their discharge into natural ecosystems poses severe environmental and human-health concerns due to their xenobiotic structure, toxicity, and r... read more
BACKGROUND: Recombinant glucokinase (GLK), an important enzyme for blood glucose diagnostics, is commonly prepared in Escherichia coli (E.coli )for laboratory research and related biosynthetic applications. In small-scale laboratory cultivation, comp... read more
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