Kunming University of Science and Technology

Esophageal cancer burden across 48 Asian locations, 2009–2023: demographic decomposition and exploratory projections

Asia carries most of the global esophageal cancer burden, but trends in rates may differ from changes in service demand. We assessed burden across 48 Asian locations during 2009–2023. We analyzed Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 estimates of...

A telomere-to-telomere reference genome for Rosa roxburghii reveals lineage-specific diversification of triterpenoid biosynthesis

Abstract Rosa roxburghii ( RRT ) is a nutritionally and medicinally important Rosaceae species that accumulates diverse bioactive compounds, making it an excellent system for investigating the genetic basis and evolutionary diversification of specialized metabolism. Here, we repo...

Interpretability-enhanced temporal surrogate modeling for wave-induced scour vulnerability assessment of vertical-wall structures

Scour compromises the stability and safety of vertical-wall structures, necessitating a systematic method to assess scour vulnerability. However, two key vulnerability elements remain unresolved, namely suitable grading thresholds and an efficient temporal scour surrogate model....

Interfacial Multidentate Chelation Enabled Anti‐Aggregation Self‐Assembled Monolayers for High‐Performance Inverted Perovskite Solar Cells

ABSTRACT The quality of self‐assembled monolayers (SAMs) and the defect density at the perovskite buried interface are key factors determining the performance of inverted perovskite solar cells (IPSCs). However, the inherent aggregation of SAM molecules at this interface limits f...

Dynamic event-triggered adaptive cooperative control for robotic manipulator with output constraints and model uncertainties

This paper introduces an adaptive fuzzy-based dynamic event-triggered adaptive cooperative control to address the challenge of achieving high-performance control for robotic manipulators under model uncertainties and output constraints. This strategy designs a signal-processing-b...

Dynamic Machine Learning for the Oxygen Evolution Reaction: From Static Catalyst Screening to Working-State Trajectory Learning

Efficient water electrolysis is limited not only by the sluggish kinetics of the oxygen evolution reaction (OER), but also by the dynamic reconstruction and degradation of catalysts under operating bias. Machine learning (ML) has accelerated OER catalyst screening by linking prec...

Enhanced antimicrobial activities of nicotine-enriched hydrothermal liquids from tobacco wastes

Hydrothermal carbonization (HTC) offers a promising pathway to convert alkaloid-rich tobacco wastes into functional carbon materials and bioactive liquids. However, the release behavior of nicotine during HTC and the relationship between nicotine occurrence and the antimicrobial...

AI tools drive innovation in sports firms through employee experiences moderated by perceived digital transformation climate

Abstract This study investigates how artificial intelligence tools improve perceived innovation capability within sports firms, focusing on the parallel mediating roles of workplace enjoyment and supportive climate, organizational identification, and AI-enhanced work engagement,...

A generalizable biopsychosocial risk score for stratifying disease vulnerability in healthy populations

Prospective risk stratification of future adverse health outcomes before clinical onset among ostensibly healthy individuals is an important goal of preventive and precision medicine, yet current tools remain largely disease-specific and do not provide an integrated measure of he...

Multiscale mechanical degradation of layered sandstone under different water–rock interactions

Previous studies on the water-induced deterioration of layered rock masses have focused primarily on hydrostatic immersion, whereas the mechanism by which water flow decreases the mechanical properties of minerals and induces rock failure remains unclear. In this study, layered s...

Multi‑objective optimisation and experimental validation of a compact energy‑efficient active regeneration burner for diesel particulate filter regeneration

Active regeneration burners are essential for diesel particulate filter (DPF) regeneration. However, they are often constrained by low flow utilisation, excessive gas velocity, and inadequate mixing between combustion products and exhaust gas, leading to poor thermal efficiency a...

Multi-objective optimization method for hybrid isolation systems using explicit seismic response prediction

In highly seismic regions, a hybrid isolation system integrating isolators and viscous dampers can achieve both isolation efficiency and displacement control. However, the quantitative design of damper parameters lacks theoretical guidance. To address this bottleneck, this study...

Efficient Removal of Phosphides from Yellow Phosphorus Tail Gas Using Phosphate Rock Powder as a Dephosphorization Agent

Abstract Yellow phosphorus tail gas, containing over 90% CO gas, serves as a high-quality fuel resource. Nevertheless, the phosphoric acid produced by the combustion of PH3 can corrode the gas-fired boilers. Herein, we propose an in situ dephosphorization strategy using fluidized...

Digital communication and narrative governance in BRICS healthcare: a website media analysis of public hospital vision and mission statements

Abstract: This study conducts a qualitative thematic analysis of vision and mission statements from leading publicly listed hospitals in BRICS countries-Brazil, Russia, India, China, and South Africa-to explore institutional health priorities and strategic orientations. Drawing o...

Ethical agency and worker precarity amid polycrisis: a protest narrative analysis

Abstract: This study explores the ethical dimensions of worker precarity and protest agency in the context of ongoing polycrisis conditions in Gilgit-Baltistan, Pakistan. Drawing upon publicly available protest videos from various occupational groups-such as healthcare, education...

Ethical investment dynamics in emerging economies: an assessment of key determinants across the top financial firms in BRICS markets

Abstract: Ethical investment has gained increasing importance in emerging economies; however, how financial institutions strategically communicate ethical investment priorities remains underexplored. This study investigates ethical investment dynamics in BRICS countries by conduc...

ANGPTL4 is a hypoxia associated candidate linked to immune and vascular phenotypes in ccRCC

Clear cell renal cell carcinoma (ccRCC) is characterized by prominent vascularization and cellular heterogeneity, but reliable biomarkers for angiogenesis and response to targeted therapy remain limited. In this study, transcriptomic data from GEO cohorts (GSE53757, GSE66271, GSE...

A Dual Task Learning Framework for Multitype Bridge Condition Assessment Using UAV Imagery

Abstract Unmanned aerial vehicle (UAV) imagery combined with artificial intelligence offers unprecedented potential to improve bridge health monitoring, reducing reliance on labor-intensive and potentially hazardous manual inspections. However, the diversity of bridge types and d...

The ethics of influence: organizational culture as a moderator of leadership style in agile projects

Abstract: This research investigates the moderating role of organizational culture (OC) in shaping the relationship between leadership style and project performance (PP), with a specific focus on despotic and transformational leadership. Through a dual study model the data was co...

Does international collaborative R&D expand the boundaries of regional low-carbon innovation?

Amid intense market competition, this study examines how international collaborative R&D influences the boundaries of regional low-carbon innovation. Using the “Behavior-Capability-Outcome” analytical framework and provincial panel data for China’s manufacturing industry from 201...