Comparative Analysis of the Enzymatic, Coagulant, and Neuromuscular Activities of Two Variants of Venom and Antivenom Efficacy.

We compared the enzymatic, coagulant, and neuromuscular activities of two variants (yellow-CDRy and white-CDRw) of venom with a sample of (CDT) venom and examined their neutralization by antivenom against CDT venom. The venoms were screened for enzymatic and coagulant activities using standard assays, and electrophoretic profiles were compared by SDS-PAGE. Neutralization was assessed by preincubating venoms with crotalic antivenom and assaying the residual activity.

Anti-Inflammatory, Antithrombotic, and Antioxidant Properties of Amphiphilic Lipid Bioactives from Shrimp.

Marine organisms, including shrimps, have gained research interest due to containing an abundance of bioactive lipid molecules.This study evaluated the composition and the in vitro biological activities of amphiphilic bioactive compounds from four different wild shrimp species: , , , and . Total lipid (TL) extracts were obtained from shrimp and separated into total amphiphilic (TAC) and total lipophilic (TLC) compounds.

L. Inflorescence Abrogates Neutrophil Activation by Downregulating TLR4/NF-KB Signaling Pathway in LPS-Induced Acute Lung Injury Model.

: Acute lung injury (ALI) is an inflammatory disorder affecting patients in intensive care with high mortality. No specific pharmacological treatment is available. L.

Antibiotic Susceptibility Patterns and Virulence Profiles of Classical and Hypervirulent Strains Isolated from Clinical Samples in Khyber Pakhtunkhwa, Pakistan.

The emergence of hypervirulent and carbapenem-resistant hypermucoviscous strains presents a significant public health challenge due to their increased virulence and resistance to multiple antibiotics. This study evaluates the antibiotic susceptibility patterns and virulence profiles of classical and hypervirulent strains isolated from various clinical samples. A total of 500 clinical samples were collected from patients at the Mardan Medical Complex and Ayub Medical Complex in KPK between July 2022 and June 2024.

First Detection of in Bats from the World's Largest Wetland, the Pantanal, Brazil.

Coronaviruses (CoV) infect a wide variety of hosts, causing epidemics in humans, birds, and mammals over the years. Bats (order Chiroptera) are one of the natural hosts of the Coronaviridae family. They represent 40% of the total number of mammal species in the Pantanal, a biodiversity hotspot in South America.

PANoptosis in Bacterial Infections: A Double-Edged Sword Balancing Host Immunity and Pathogenesis.

PANoptosis is a newly identified programmed cell death pathway that integrates characteristics of apoptosis, pyroptosis, and necroptosis. It plays a dual role in the host immune response to bacterial infections. On one hand, PANoptosis acts as a protective mechanism by inducing the death of infected cells to eliminate pathogens and releasing pro-inflammatory cytokines to amplify the immune response.

Compact Quantum Cascade Laser-Based Noninvasive Glucose Sensor Upgraded with Direct Comb Data-Mining.

Mid-infrared spectral analysis has long been recognized as the most accurate noninvasive blood glucose measurement method, yet no practical compact mid-infrared blood glucose sensor has ever passed the accuracy benchmark set by the USA Food and Drug Administration (FDA): to substitute for the finger-pricking glucometers in the market, a new sensor must first show that 95% of their glucose measurements have errors below 15% of these glucometers. Although recent innovative exploitations of the well-established Fourier-transform infrared (FTIR) spectroscopy have reached such FDA accuracy benchmarks, an FTIR spectrometer is too bulky. The advancements of quantum cascade lasers (QCLs) can lead to FTIR spectrometers of reduced size, but compact QCL-based noninvasive blood glucose sensors are not yet available.

Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest.

In this study, an action recognition system was developed to identify fundamental basketball movements using a single Inertial Measurement Unit (IMU) sensor embedded in a wearable vest. This study aims to enhance basketball training by providing a high-performance, low-cost solution that minimizes discomfort for athletes. Data were collected from 21 collegiate basketball players, and movements such as dribbling, passing, shooting, layup, and standing still were recorded.

The Application of an Intelligent -Harvesting Device Based on FES-YOLOv5s.

To address several challenges, including low efficiency, significant damage, and high costs, associated with the manual harvesting of , in this study, a machine vision-based intelligent harvesting device was designed according to its agronomic characteristics and morphological features. This device mainly comprised a frame, camera, truss-type robotic arm, flexible manipulator, and control system. The FES-YOLOv5s deep learning target detection model was used to accurately identify and locate .

Optimization of Video Heart Rate Detection Based on Improved SSA Algorithm.

A solution to address the issues of environmental light interference in Remote Photoplethysmography (rPPG) methods is proposed in this paper. First, signals from the face's region of interest (ROI) and background noise signals are simultaneously collected, and the two signals are processed by a differential to obtain a more accurate rPPG signal. This method effectively suppresses background noise and enhances signal quality.

A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis.

Analysis of the human gait represents a fundamental area of investigation within the broader domains of biomechanics, clinical research, and numerous other interdisciplinary fields. The progression of visual sensor technology and machine learning algorithms has enabled substantial developments in the creation of human gait analysis systems. This paper presents a comprehensive review of the advancements and recent findings in the field of vision-based human gait analysis systems over the past five years, with a special emphasis on the role of vision sensors, machine learning algorithms, and technological innovations.

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control.

This paper focuses on the modeling, control, and simulation of an over-actuated hexacopter tilt-rotor (HTR). This configuration implies that two of the six actuators are independently tilted using servomotors, which provide high maneuverability and reliability. This approach is predicted to maintain zero pitch throughout the trajectory and is expected to improve the aircraft's steering accuracy.

A Review of CNN Applications in Smart Agriculture Using Multimodal Data.

This review explores the applications of Convolutional Neural Networks (CNNs) in smart agriculture, highlighting recent advancements across various applications including weed detection, disease detection, crop classification, water management, and yield prediction. Based on a comprehensive analysis of more than 115 recent studies, coupled with a bibliometric study of the broader literature, this paper contextualizes the use of CNNs within Agriculture 5.0, where technological integration optimizes agricultural efficiency.

Data Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots.

The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. To address such topics, this paper explores the application of the leader-based bat algorithm (LBBA), an enhancement of the traditional bat algorithm (BA).

Deep Reinforcemnet Learning for Robust Beamforming in Integrated Sensing, Communication and Power Transmission Systems.

A communication network integrating multiple modes can effectively support the sustainable development of next-generation wireless communications. Integrated sensing, communication, and power transfer (ISCPT) represents an emerging technological paradigm that not only facilitates information transmission but also enables environmental sensing and wireless power transfer. To achieve optimal beamforming in transmission, it is crucial to satisfy multiple constraints, including quality of service (QoS), radar sensing accuracy, and power transfer efficiency, while ensuring fundamental system performance.

A Review on Face Mask Recognition.

This review offers a comprehensive and in-depth analysis of face mask detection and recognition technologies, emphasizing their critical role in both public health and technological advancements. Existing detection methods are systematically categorized into three primary classes: feaRture-extraction-and-classification-based approaches, object-detection-models-based methods and multi-sensor-fusion-based methods. Through a detailed comparison, their respective workflows, strengths, limitations, and applicability across different contexts are examined.

Enhancement of Spurious Signal Suppression in Microstrip Mixers by Load Resistor Termination.

The mixer is an essential component in RF transceiver subsystems. It has a role in shifting the signal frequency for more convenient processing of up-conversion as well as down-conversion. Despite generating the desired signal, the mixer also generates spurious noise that wastes power and reduces the performance of the overall system.

Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection.

In recent years, mobile laser measurement systems have markedly enhanced the capabilities of deformation detection and defect identification within metro tunnels, attributed to their superior efficiency, precision, and versatility. Nevertheless, challenges persist, including substantial equipment costs, inadequate after-sales support, technological barriers, and limitations in customization. This paper develops a mobile laser measurement system that has been specifically developed for the purpose of detecting deformation in metro tunnels.

PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detection.

Compared with conventional targets, small objects often face challenges such as smaller size, lower resolution, weaker contrast, and more background interference, making their detection more difficult. To address this issue, this paper proposes an improved small object detection method based on the YOLO11 model-PC-YOLO11s. The core innovation of PC-YOLO11s lies in the optimization of the detection network structure, which includes the following aspects: Firstly, PC-YOLO11s has adjusted the hierarchical structure of the detection network and added a P2 layer specifically for small object detection.

An Optimized Method for Batch Recovery Based on Erasure Coding in Heterogeneous Network.

With the rapid development of IoT technology, sensors are widely used for monitoring environmental parameters. The data collected by sensors needs to be stored, and distributed storage systems provide an excellent platform to handle this vast amount of data. To enhance data reliability and reduce storage costs, erasure coding technology can be employed within distributed storage systems.

Real-Time Prediction of the Yarn Break Position Using Vibration Measurement.

Warping is a crucial process that connects two main stages of production: yarn manufacturing and fabric creation. Two interrelated parameters affect the efficiency of this technological process: warping speed and the ability to swiftly detect the yarn breaks caused by various defects. The faster a break is detected and the warping machine stopped, the higher the machine's working speed can be.

State of the Art of Primary PCI: Present and Future.

Primary percutaneous coronary intervention (PCI) has revolutionized the management of ST-elevation myocardial infarction (STEMI), markedly improving patient outcomes. Despite technological advancements, pharmacological innovations, and refined interventional techniques, STEMI prognosis remains burdened by a persistent incidence of cardiac death and heart failure (HF), with mortality rates plateauing over the last decade. This review examines current practices in primary PCI, focusing on critical factors influencing patient outcomes.

Dispatcher-Assisted CPR in Italy: A Nationwide Survey of Current Practices and Future Challenges in Emergency Medical Communication Centers.

: Dispatcher-assisted cardiopulmonary resuscitation (DA-CPR) is widely recognized as a critical intervention that significantly reduces no-flow time, improving survival rates in out-of-hospital cardiac arrests (OHCAs). This study evaluates current practices and the organization of DA-CPR in Italian emergency medical communication centers (EMCCs) and identifies areas for improvement. A cross-sectional survey was conducted between April and May 2024 among all Italian EMCCs, achieving a 92.

Low-Dose Ionizing Radiation and Thyroid Diseases and Functional Modifications in Exposed Workers: A Systematic Review.

With technological development, ionizing radiation has found applications in numerous occupations. However, the determination and quantification of the damage resulting from exposure to it remains rather unclear, along with the damage to particular organs. The aim of this systematic review was to investigate the relationship between low-dose ionizing radiation (LDIR) in exposed workers and possible functional changes and cancer development in the thyroid gland.

Metaverse-Aided Rehabilitation: A Perspective Review of Successes and Pitfalls.

: The evolution of technology has continuously redefined the landscape of rehabilitation medicine. Researchers have long incorporated virtual reality (VR) as a promising intervention, providing immersive therapeutic environments for patients. The emergence of the metaverse has recently further expanded the potential applications of VR to augment the possibilities in rehabilitation.