Research works

Incidence of recurrent major bleeding and its impact on survival in LVAD patients: a multistate analysis

ABSTRACT Introduction Major bleeding frequently complicates the clinical course of left ventricular assist device (LVAD) therapy. However, data on recurrent major bleeding in destination therapy (DT) patients, as well as its impact on survival, is limited. Methods: Single-center...

Robust partial-window state-of-health estimation for lithium-ion batteries using chemistry-aware multi-health indicators and missing-aware ensembles

Accurate battery state-of-health (SoH) estimation is a central requirement for reliable battery-management systems, yet practical deployment is constrained by partial charging, chemistry-dependent voltage behaviour, and intermittent availability of health indicators. The central...

Data‐Driven Adaptive Longitudinal Control With a Fuzzy‐Logic‐Based Dynamic Internal Model for Carrier‐Based UAV Landing

ABSTRACT This article addresses the landing control problem of carrier‐based unmanned aerial vehicles (UAVs) subject to strong nonlinearities, measurement fading, and external disturbances. First, an enhanced data‐driven adaptive control scheme is proposed which integrates an ada...

Parental Mealtime Practices in Children with Autism Spectrum Disorder: A Comparative Study

Importance Feeding difficulties are highly prevalent among children diagnosed with autism and can significantly affect family well-being. Parental mealtime practices play a critical role in shaping children's eating behaviors, yet their interaction in children diagnosed with auti...

Real-World Validation of the AI-Enabled Vectorcardiographic CSG-Index for Obstructive Coronary Artery Disease: The VECTOR-CAD Study

Background/Objectives: Cardisiography is an artificial intelligence-enabled resting vectorcardiography (AI-VCG) system, but evidence for its accuracy in coronary artery disease (CAD) remains limited. We evaluated the AI-VCG-derived CSG-index for obstructive CAD detection, associa...

Development of an Event-Driven Low-Power Wireless System for Structural Health Monitoring of Advanced Air Mobility

Advanced Air Mobility (AAM) vehicles may experience impacts from bird strikes and foreign object debris, motivating in-flight structural health monitoring (SHM). Periodically sampled wireless sensor networks impose a trade-off between polling delay and repeated wake-up energy. We...

Isolated midbrain neurocysticercosis presenting as trochlear nerve palsy

Background: Neurocysticercosis (NCC) is a neurological infection caused by the larval stage of the tapeworm Taenia solium . It can be found in the brain parenchyma or in the intraventricular and subarachnoid spaces and the spinal cord, giving rise to different clinical manifestat...

Explantation rates and failure mechanisms in early cannulation grafts: A comparative study between Flixene and Gore Acuseal

Background: Early cannulation arteriovenous grafts (ecAVGs) are increasingly used to reduce catheter dependence in hemodialysis patients, but device-specific complications remain a concern. This study aimed to compare explantation rates, timing, and mechanisms of failure between...

Three dimensional conjugate natural convection heat transfer of Mxene toluene nanofluid in a heat generating finned cubic cavity: finite element and ANN investigation

This study numerically investigates three dimensional natural convection heat transfer of an Mxene toluene nanofluid in a cubic cavity containing six internal heat generating fins using the Galerkin finite element method, motivated by the need for efficient passive thermal manage...

Stroke in Pediatric Cardiac Surgery: Incidence, Risk Factors, and Management Strategies

Stroke is among the most consequential neurologic complications of cardiac surgery for congenital heart disease, occurring in 1% to 5% of the general pediatric cardiac surgical population and rising above 7%, extracorporeal membrane oxygenation-supported patients, and cardiac tra...

Effects of Stem Cell-Derived Mitochondrial Transfer on H2O2-Induced Oxidative Stress in COV434 Granulosa Cells

Background and Objectives: Oxidative stress-induced mitochondrial dysfunction contributes to granulosa cell apoptosis and ovarian dysfunction. This study investigated the therapeutic potential of human Wharton’s jelly-derived mesenchymal stem cell-derived mitochondria (hWJ-MSCs-m...

Healing Together: Changes in Psychosocial Responses Through Post‐Earthquake Child–Parent Relationship Therapy

ABSTRACT Objective This qualitative study examines the psychosocial responses of parents and children affected by the February 6, 2023 Kahramanmaraş earthquakes in Türkiye and evaluates the impact of Child–Parent Relationship Therapy (CPRT) on these processes. Background Earthqua...

PD-L1-Targeted and ROS-Responsive Nanoplatform for Simultaneous Chemotherapy and Dual-Modal Imaging of Treatment Response in Triple-Negative Breast Cancer

Abstract The evaluation of treatment response in triple-negative breast cancer (TNBC) still primarily relies on tumor size and ex vivo analyses, which provide very limited information on how tumors dynamically respond during therapy. In fact, oxidative stress rapidly emerges earl...

Quantization as Exchange Events in a Wave Medium: Falsification tests using acoustic, hydrodynamic and accelerator analogies, the hydrogen atom as a standing wave, and the limits of wave computing

This contribution presents a systematic numerical test of the limits of applicability of classical wave analogies to quantization. We test a restated account in which propagation is wave-like, the medium sets limiting speeds and reflection, and quanta are integer-valued exchange...

A Survey on U-Net with Variants and Their Applications in Two-Dimensional Medical Image Segmentations

Medical image segmentation plays a critical role in computer-assisted diagnosis, treatment planning, surgical navigation, and quantitative medical image analysis. Among deep learning-based segmentation architectures, U-Net has become one of the most influential frameworks because...

Substance-Specific Stigma and the Gatekeeping Role of Social Distance in Recovery Support Provision

Background: Community integration for individuals with substance use disorders (SUDs) depends on the willingness of social network members to provide aid, yet the mechanisms driving this support remain poorly understood. This study evaluates how substance type and relational prox...

sRQA: an integrative pipeline for symbolic recurrence quantification analysis

Recurrence Quantification Analysis (RQA) is a powerful phenomenological method for characterizing dynamical systems from sequential empirical data, but it is fundamentally limited to continuous signals. Symbolic RQA (sRQA) extends this framework to discrete state sequences, enabl...

Capturing Ag6 Inner-Core Contraction in Inorganic-Template-Stabilized Ag78 Nanoclusters

Abstract Resolving how subangstrom changes in a metal core affect electronic structure and photophysical properties in high-nuclearity silver nanoclusters (NCs) remains challenging, as inner-core variations are often coupled with changes in outer metal shells, surface coordinatio...

Mechanical isolation emerges from individual-level morphological covariation under reinforcement

Mechanical isolation is often viewed as a discrete species-level premating barrier arising from divergence in reproductive morphology. However, whether such isolation reflects discrete species-level incompatibility or emerges from continuous variation in morphological matching am...

FBT02A: The S-Gate as a Strict Affine Central Charge

We formulate the residual S-sector of the Fracture–Berry–Tension framework as a strict affine central sector while keeping the geometric, Hamiltonian, loop-algebraic, prequantum, Berry, and representation-theoretic layers mathematically distinct. The regular geometric input disti...