Unmanned Aerial Vehicles (UAVs) equipped with robotic manipulators have emerged as a powerful paradigm for advanced aerial manipulation tasks, including infrastructure inspection, emergency response, and precise object handling in hazardous or inacce... read more
The similar time constants of voltage source inverter-based distributed generation units and other components in islanded microgrids (IMGs) pose significant challenges for dynamic state estimation (DSE). To address these issues, particularly under co... read more
Robotic endoscope holders improve visual stability, yet enforcing a fixed remote center of motion (RCM) often induces lateral interaction forces due to fulcrum drift. This study proposes an autonomous guidance framework combining deep learning-based ... read more
Orbital fractures are frequently encountered in maxillofacial trauma and can be associated with severe globe injuries (SGI). Accurate and timely diagnosis is critical to prevent long-term complications, yet subtle fractures and soft tissue injuries m... read more
While a constant relative biological effectiveness (RBE) of 1.1 is applied in clinical proton therapy, longstanding clinical concern and in vitro evidence demonstrate a variable proton RBE. Several RBE models for protons have been developed based on ... read more
The rapid development of the internet of things (IoT) has made an increasing number of large-scale, interconnected networks more vulnerable to advanced attacks. There are increased risks of hidden intrusions and compromised security in IoT environmen... read more
Volumetric radiographic data analysis poses significant challenges due to its 3D structure and variable input lengths. Moreover, the unpredictable distribution of diseased regions, often spanning multiple slices and interspersed with normal tissue wi... read more
Prospective evidence on clinical utility of AI in histopathology is limited. We conducted a prospective study across three National Health Service specialist centres in England to evaluate a commercially available AI system for assistance in prostate... read more
Biochemical and biophysical research communications
May 22, 2026
BACKGROUND: The bark of Magnolia officinalis Rehder & E. Wilson, used in TCM for abdominal distension, pain, and diarrhea, aligns with IBS-D symptoms. It is now supported by evidence for its multi-component, multi-target action. This study aims to el... read more
Clinical adoption of artificial intelligence (AI) in radiology has matured through task-specific tools for detection, segmentation, triage, and quantitative measurement, yet most deployed systems operate as isolated applications with distinct interfa... read more
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