Research works

Artian's Entropy and Second-Law Reference Theorem: Completed Records, Access Loss, and the A2-A3 Source-Volume Ledger

A Two-Coordinate Second Law with a Separate Source-Volume Ledger This paper separates two statements often compressed into one word. Completed physical records do not disappear from the source history, while a laboratory channel can lose access to distinctions that remain present...

A Unified System of Tensor Invariants and Their Integral Reduction Theorems

This paper organizes the complete operator set and the integral theorems of classical vector analysis into a single unified system. The starting point is algebraic: the second-order tensor invariant of a third-order tensor, given by the general epsilon -dual formula (the dual is...

A Nonmonotone Real-Rootedness Set for Symmetric Imaginary Shifts

AI Research Artifact. This work presents an exact rational degree-8 polynomial whose symmetric imaginary-shift real-rootedness set is neither an interval nor an up-set. The explicit witness and candidate proof were materially model-generated. Version 0.1.3 replaces mental-state a...

Longitudinal benchmarking of artificial intelligence models for the differential diagnosis of oral mucosal lesions: a controlled clinical validation study

Abstract To perform a controlled longitudinal benchmarking analysis of contemporary artificial intelligence systems for the differential diagnosis of oral mucosal lesions and compare their performance with historical benchmarks obtained using the same biopsy-confirmed dataset and...

The Cultivation of International Engineering Graduate Students in China: A Study under the Belt and Road Initiative

Abstract To address structural challenges in international civil engineering graduate education under the Belt and Road Initiative, this study systematically evaluates current training systems and proposes a collaborative model. Employing a quantitative survey design, structured...

Modelling the drivers of financial anxiety: a Bayesian network approach

Purpose This study aims to examine how financial anxiety is shaped within a system of interrelated cognitive, behavioural and contextual factors, with particular attention to the role of financial literacy and its relationship with financial behaviour and financial well-being. De...

AI Governance: A Framework for Convergent-Cost Classification, Privacy-Preserving Routing, and Federated Vocabulary Learning

The proliferation of specialized, high-performance AI agents has introduced the "model selection problem", where routing systems frequently prioritize cost-efficiency while neglecting data sovereignty. Relying on full-context prompt transmission to third-party providers inherentl...

Perspectives on an Intervention to Increase Confidence in Newborn RSV Immunoprophylaxis

OBJECTIVES Respiratory syncytial virus (RSV) immunoprophylaxis is efficacious, yet uptake is low in comparison with other recommended newborn interventions. We aimed to identify barriers to and enablers of implementation of an intervention in the well newborn unit to increase par...

The p97 adaptor p47/NSFL1C is necessary for stress granule dissolution after heat stress

Abstract Stress granules form in response to diverse cellular perturbations to sequester translation components until the stress is resolved. Stress granules are composed of RNA–protein assemblies in membrane-delimited structures and must be rapidly disassembled to release compon...

Ultrasmall PolymericMicelles Enable Noninvasive TransdermalRosiglitazone Delivery via Lipid Fluidization and Transcytosis

Abstract Noninvasive transdermal drug delivery (TDD) offers sustained therapeutic release but is hindered by the stratum corneum (SC) barrier. Herein, we report ultrasmall polymeric micelles (PMs) embedded in poly(vinyl alcohol) hydrogels for the passive TDD of rosiglitazone (RGT...

Artificial intelligence applications in electric vehicle supply chain management: a systematic review and research agenda

Abstract The supply chain of electric vehicles (EV) is a special challenge because of the complexity of battery lifecycle, reverse logistics, sustainability pressure, and distributed operations worldwide. Machine Learning and Artificial Intelligence (AI) have become essential fac...

Pathways to resilience: how women entrepreneurs build the resilience to become entrepreneurs

Purpose This study investigates how women technology entrepreneurs build the resilience to navigate and persist within hyper-masculinised business incubator environments. It focuses on how formative experiences contribute to the development of resilience, and how these psychologi...

Associations of body composition with neoadjuvant chemotherapy response, toxicity, and prognosis in breast cancer: a scoping review

Abstract Background Breast cancer is the leading cause of cancer-related death in women worldwide. There is increasing interest in using detailed body composition parameters, such as skeletal muscle mass and adiposity, to better predict treatment response, toxicity, and survival...

Tuning Ni/HβCatalysts via Second-Metal (Zn,Fe, and Cu) Incorporation for Selective Hydrogen-Free Hydrodeoxygenationof 4-Propylguaiacol

Abstract The selective upgrading of lignin-derived compounds into high-value chemicals remains a critical challenge. In this study, a series of Ni-based catalysts supported on Hβ zeolite and modified with secondary metals (Zn, Fe, and Cu) were synthesized and systematically evalu...

Role of artificial intelligence in transforming agricultural supply chain management in Bangladesh

Abstract This study explores the role of Artificial Intelligence (AI) in transforming agricultural supply chain management in Bangladesh through a systematic comparative analysis of existing literature, institutional reports, and global case studies. AI technologies including pre...

Gestational age–associated differences in human umbilical cord mesenchymal stem cells: biological, paracrine, and neuroprotective properties

Abstract Background Human umbilical cord mesenchymal stem cells (UCMSCs) have shown considerable therapeutic promise for neonatal brain injury. However, whether gestational age influences UCMSC biological characteristics and therapeutic efficacy remains unclear. This study invest...

Pollutant-induced changes in fish pigmentation and spatial patterns

Abstract Pigmentation abnormalities, ranging from hypo- to hyperpigmentation, can serve as biomarkers of developmental disruption in fish exposed to environmental contaminants. However, the mechanistic pathways underlying these alterations remain poorly understood. Studies have s...

Electronic Reconstructionand Carrier Dynamics GoverningQuantum Capacitance in Transition-Metal-Modified Borophene

Abstract Quantum capacitance (CQ), traditionally interpreted using the density of states (DOS) framework, is a key parameter governing the electronic compressibility of low-dimensional materials. Using spin-polarized first-principles calculations, we show that this approximation...

AI for Compassion: How Large Language Models Could Support Moral Circle Expansion and Suffering Reduction

AI for Compassion: How Large Language Models Could Support Moral Circle Expansion and Suffering Reduction examines whether large language models can support moral reflection and contribute to moral circle expansion from a suffering-focused ethical perspective. The paper explores...

Thinking outside the frame: viewpoint-aware spatial reasoning in large multimodal models

Abstract Large multimodal models (LMMs) have greatly improved cross-modal tasks but continue to struggle with spatial reasoning. In particular, they exhibit a bias toward egocentric reasoning and have limited ability to reframe spatial relations allocentrically, making them unrel...