Research works

Comparison of GPS-derived peak running speed and accelerometer-derived metrics during submaximal running tests for monitoring neuromuscular fatigue in soccer players

This research aims to compare the parameters (Peak running speed and Player Load™ (A.U.)) of a submaximal run test (SRT) and a countermovement jump (CMJ) test used to assess neuromuscular fatigue (NMF) in soccer players. To achieve this, we employed a longitudinal repeated-measur...

The Carlo Architecture : A Unified, Deterministically Closed Operator Model of Psychological and Symbolic Systems v2 (With Visualiser)

This specification delivers the definitive, mathematically closed engineering blueprint for the Carlo Unified Operator Model (V2). By mapping six historically divergent psychological, developmental, and linguistic frameworks—Freud, Jung, Lacan, Piaget, Chomsky, and Skinner—into a...

Aspects of the Pathogenesis of Skin Complications in the Stump–Prosthesis System in Dynamics: The Role of Bacterial and Mycological Dysbiosis

Background. Lower limb exoprostheses often lead to stump dermatological pathologies. The mechanisms by which mechanical microtraumas progress to non-healing ulcerative defects due to dysbiosis remain poorly understood. Study Objective. To analyze mechanical, inflammatory, and inf...

The Perry–Carlo Quantum Coherence Compendium: Deterministic Timing Architecture and the Reconciled Perry Constant Equation v2 (With Visualiser)

This compendium presents the reconciled Perry–Carlo framework, linking microtubule‑level quantum coherence to deterministic gamma‑band timing architecture. The work integrates Anthony L. Perry’s 2026 quantum‑modulatory model with a fully formalized operator environment, correctin...

On a Reverse Half-Discrete Hilbert-Type Inequality with the General Homogeneous Kernel as Well as Multiple Lower Limit Function and Remainder Sum

By means of the weight functions, the idea of introduced parameters, and the reverse Hardy’s integral inequality, an extended reverse Hardy-type inequality is obtained, and then a new reverse half-discrete Hilbert-type inequality with the general homogeneous kernel, as well as mu...

Effects of Deep Learning Observation Operators in Direct Radiance Assimilation of Microwave Radiation Imager in Land Surface Models

Soil moisture is a key forecast variable of land surface models. Direct assimilation of microwave brightness temperature data to optimize soil moisture initial fields is an effective approach to improve simulation accuracy of soil moisture. However, most existing direct assimilat...

Multi-year ground-based multi-wavelength Raman lidar aerosol dataset over the interior Tibetan Plateau (Yangbajing, 4284 m a.s.l.; 2021–2024)

Abstract. The interior of the Tibetan Plateau exerts a first-order influence on the Asian monsoon and regional climate, yet vertically resolved aerosol observations there are scarce, and no openly archived, multi-year, ground-based profile record has existed for this exceptionall...

Package Managers à la Carte: A Formal Model of Dependency Resolution

Package managers are legion. Every programming language and operating system has its own solution, each with subtly different semantics for dependency resolution. This fragmentation prevents multilingual projects from expressing precise dependencies across language ecosystems; it...

Dual-Layer PSO-Enhanced Federated Heterogeneous Data Fusion for Hemodialysis Complication Prediction

Taiwan has one of the highest dialysis prevalences worldwide, making safe and reliable hemodialysis monitoring a critical sensor-based healthcare challenge. Modern hemodialysis machines integrate heterogeneous multimodal sensors (pressure, flow, conductivity, temperature, and car...

Hardware Aspects of Machine Learning-Based Cardiac Fibrillation Diagnosis

This paper presents the hardware aspects of a Hjorth-parameter deep neural network (DNN)-based cardiac fibrillation diagnosis pipeline targeting low-power Internet of Medical Things (IoMT) devices and ASIC implementations. Building on earlier edge-to-cloud studies where Hjorth ac...

Linking Embodiment, Simulator Sickness, and EEG Activity During XR–BCI Use: A Single-Participant Case Study

Background: Subjective experience is increasingly recognised as an important component of brain–computer interface (BCI) performance in extended reality (XR) environments. Although embodiment and simulator sickness are known to influence user experience, their relationships with...

Enhanced Quantum Dot Light Emission at Telecom Wavelengths on Metallic Mirrors

We demonstrate the integration of molecular beam epitaxy (MBE)-grown InP-based quantum dots (QDs) on gold thin films, achieving a fivefold enhancement of emission at telecom wavelengths compared with QDs grown on distributed Bragg reflectors (DBRs). Micro-photoluminescence (µ-PL)...

The Undertesting Bias in Clinical Decision Making: The Role of Test Dichotomization

Threshold models, formalized by Pauker and Kassirer, guide clinical decisions about testing and treatment by partitioning pretest probabilities into three action zones using two threshold pretest probabilities: the test threshold and the test-treatment threshold. This derivation...

Matter scale field: cosmological redshift from evolving material standards

Abstract We formulate Matter Scale Field (MSF) as a relativistic framework in which a homogeneous scalar field controls the evolution of the physical metric and material standards through one common scale. Cosmological redshift is interpreted as a comparison between propagated li...

A Deterministic Engine Approach to the Ramanujan Challenge v2 (With Visualiser)

This work presents a deterministic engine approach to the Ramanujan Challenge for AI, analysing each problem using a modular reasoning system called the Ramanujan Core. The document covers continued fractions, Apéry-style recurrences, hypergeometric series, matrix product approxi...

Discrete energy consistency for dynamic finite-strain frictional contact models with inelastic transformation

This paper presents a thermodynamically consistent framework for the numerical treatment of finite-strain contact problems involving frictional interaction and inelastic material transformations, with particular reference to plastic or superelastic materials. The formulation comb...

Tracing Spatial Interaction and Collaborative Inquiry Learning in a Metaverse: A Log-Based Comparison Study of Gather Town and a Web-Based Environment

Spatial virtual environments enable proximity-based communication and continuous awareness of others’ locations, potentially reshaping how learners coordinate collaborative inquiry. This study compared a spatial metaverse environment with a functionally comparable web-based syste...

Towards a Higher-Order Bialgebraic Denotational Semantics

The bialgebraic abstract GSOS framework by Turi and Plotkin provides an elegant categorical approach to modelling the operational and denotational semantics of programming and process languages. In abstract GSOS, bisimilarity is always a congruence, and it coincides with denotati...

Artificial Intelligence and Digital Pathology for Molecular Classification of Endometrial Cancer

Endometrial cancer is one of the most rapidly increasing gynaecological malignancies worldwide. The clinically adapted molecular classification of endometrial carcinoma, derived from The Cancer Genome Atlas, comprises four major subtypes: POLE-mutated, mismatch repair-deficient,...

Forgotten reservoirs: an attempt to revive field research on rodent malaria parasites in their main natural host, the thicket rat Grammomys poensis (formerly Thamnomys rutilans)

<title>Abstract</title> Rodent malaria parasites have long served as essential experimental models for understanding human malaria, yet little is known about their ecology and evolution in the wild. The thicket rat <italic>Grammomys poensis</italic> (formerly <italic>Thamnomys ru...