The proliferation of instant messaging platforms has transformed how healthcare professionals engage in continuing medical education (CME) and peer knowledge exchange. WhatsApp and Telegram, owing to their accessibility, multimedia capabilities, and near-universal smartphone compatibility, have gained considerable traction within clinical communities worldwide. This narrative review synthesises peer-reviewed evidence on the educational benefits, challenges, and best practices associated with…

Precise water application is crucial to meet the crop-water requirement especially in areas where rain-fed agriculture is considered inadequate. While some AI-driven IoTs have been deployed successfully to coordinate sensors capable of measuring irrigation parameters, there was a problem with their scalability for multiple users. This paper presented the development of a Scalable Micro Services IoT Irrigation System (SMIIS) for the growth of Talinum triangulare based on micro-services IoT.…

Despite being the primary cause of death for women globally, cardiovascular disease (CVD) is nevertheless underdiagnosed and undertreated. According to recent research, high-normal blood pressure (120–139/80–89 mmHg), which was previously thought to be non-pathological, dramatically raises the risk of cardiovascular events in women. This review looks at the relationship between high blood pressure and cardiovascular risk in women and is based on original research evidence, especially large…

Background: McCune–Albright syndrome (MAS) is a rare mosaic disorder classically defined by the triad of polyostotic fibrous dysplasia, café au lait macules, and endocrine hyperfunction. The full triad is uncommon, and presentation in males is particularly rare.

Case: We report a nine-year-old boy presenting with progressive craniofacial deformity, multiple café au lait macules, and signs of precocious puberty. Imaging revealed extensive expansile…

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…

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…

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:…

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

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.”…

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…