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Research Article | Open Access
Published on: 12 Jun 2026
Article ID: wjdapp.2026.f1201
The Hot Tooth Paradox of Thermal Gradient‑Driven Implant Fracture
Objective: This study aims to develop a comprehensive framework combining analytical closed form solutions with coupled thermomechanical finite element modeling to investigate transient thermal loads on the propagation of pre-existing micro-cracks in a mandibular molar restored with a titanium dental implant.
Methods: A three-dimensional (3D) model was reconstructed from micro-CT data. Before numerical simulation, a one-dimensional analytical…
Research Article | Open Access
Published on: 12 Jun 2026
Article ID: wjra.2026.f1202
An Obstacle Avoidance Trajectory Planning Algorithm for Robotic Arm Based on Two-Stage Grid Method
This work presents an obstacle avoidance path search algorithm based on a two-stage grid method, which is illustrated with a five-degree-of-freedom (5-dof) robot arm, with the first three joints grouped for obstacle space detection and the remaining two joints for extending obstacle space. Under the working space of the robotic arm, the corresponding discrete point sets of obstacle avoidance paths are obtained based on arbitrary feasible start and end positions. The discrete points free of…
Research Article | Open Access
Published on: 12 Jun 2026
Article ID: wjcst.2026.f1203
Estimation of Cognitive Load of a Pilot Under Time and Task Pressure
Background: The growing integration of manned and unmanned aerial vehicles (MAVs and UAVs) in modern high-tech warfare demands a thorough understanding of pilot cognitive performance. Current battlefield decision-making models treat pilots as infallible operators, neglecting the impact of complex operational environments on their cognitive decision-making abilities, leading to a gap between computational outcomes and real combat scenarios.
Methods:…
Research Article | Open Access
Published on: 12 Jun 2026
Article ID: wjcst.2026.f1204
Using Artificial Intelligence for a Better Flight Vehicle and Reducing Human Error
Artificial Intelligence (AI) is revolutionizing the aviation industry by improving flight efficiency, safety, and reliability. By leveraging AI, modern aircraft can enhance their performance, minimize risks, and reduce human error, leading to safer and more efficient air travel. AI applications in aviation include autonomous flight control, predictive maintenance, route optimization, and improved pilot assistance systems. This document explores how AI contributes to the advancement
Research Article | Open Access
Published on: 12 Jun 2026
Article ID: wjcst.2026.f1205
Load Optimization Method for Fatigue Testing of Large Deformation Structures Based on Stiffness Matching
To enhance the efficiency and accuracy of load optimization for fatigue testing of large deformation structures, this paper introduces a novel load optimization method grounded in stiffness matching. The core of this approach is the utilization of displacement response error as the primary optimization objective. It establishes a robust closed-loop framework: “Test State Load Optimization Design Stiffness Model-Based Displacement Response Calculation Displacement Response Error Evaluation.”…
Research Article | Open Access
Published on: 11 Jun 2026
Article ID: wjptr.2026.f1101
The Effectiveness of Waltz Dance in Improving Balance Performance and Reducing Risk of Falls in Older Adult Community Dwellers
This study aimed to determine the effectiveness of a waltz dance program in improving balance performance and reducing the risk of falls among older adult community dwellers in Barangay 399, Sampaloc, Manila. A Single Subject Research Design (SSRD) was utilized involving 2-3 participants aged 60–85 years old who met the inclusion criteria. Balance performance and fall risk were measured using the Short Physical Performance Battery (SPPB) before and after the interventions. Participants first…
Review Article | Open Access
Published on: 11 Jun 2026
Article ID: wjem.2026.f1102
Approach to Hypoglycaemia at the Emergency Department: Diagnosis, Treatment, and Follow-up
Hypoglycemia is an important metabolic emergency that must be recognized rapidly and treated without delay in the emergency department, with a clinical spectrum ranging from mild autonomic symptoms to seizures, coma, and permanent neurologic injury. In adults without diabetes, Whipple's triad remains a practical guide in diagnostic evaluation; it consists of symptoms compatible with hypoglycemia, documentation of low plasma glucose, and resolution of symptoms after correction of the glucose…
Research Article | Open Access
Published on: 11 Jun 2026
Article ID: wjptr.2026.f1103
Effectiveness of Smart Music Boxing Machine in Improving Upper Extremity Coordination in Patients with Chronic Stroke
This study examined the effectiveness of the Smart Music Boxing Machine in improving upper extremity coordination among patients with chronic stroke. Utilizing a quasi-experimental one-group pre-test and post-test design, the research quantitatively assessed changes in motor performance using the Fugl-Meyer Assessment for Upper Extremity (FMA-UE). The intervention integrated rhythmic auditory stimulation and repetitive boxing movements to enhance motor coordination and engagement.…
Review Article | Open Access
Published on: 11 Jun 2026
Article ID: wjpt.2026.f1104
Adverse Drug Reaction Monitoring of Semaglutide in India: Impact of Expanding Formulations and Generic Market Entry
Semaglutide has become a key therapy for the management of Type 2 Diabetes Mellitus and obesity. In India, the rising burden of metabolic diseases has led to a rapid increase in its use. Recently, with the expiry of patent protection, generic semaglutide has been officially introduced in the Indian market, leading to wider accessibility and reduced cost. Multiple pharmaceutical companies are now offering different formulations, including pre-filled pens, multi-dose pens, vials, and oral…
Research Article | Open Access
Published on: 11 Jun 2026
Article ID: wjdod.2026.f1105
Association of Cone Beam CT Texture Parameters with Mandibular Bone Density and Structural Disorganization in Postmenopausal Women
Objectives: This study aimed to evaluate mandibular cortical index and texture analysis parameters derived from CBCT in women of different age groups and to explore their correlation.
Methods: A retrospective observational study was conducted on CBCT scans of 66 women, divided into two groups: Group A (32–50 years, n = 33) and Group B (51–76 years, n = 33). Computed Tomography Mandibular Index (CTMI) were measured at the mental foramen region,…