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Multirotor drones (part of the category of small Uncrewed Aerial Systems [sUAS] or small Uncrewed Aerial Vehicles [sUAV]) are used in atmospheric research to make measurements of the lower atmosphere, and their use is po...

Power electronic systems in autonomous vehicles and mission-critical applications are highly susceptible to overheating due to operational inefficiencies. These systems often rely on liquid cooling loops to maintain safe...

Multicore fiber (MCF) which contains more than one core in a single fiber cladding has attracted ever increasing attention for application in optical sensing systems owing to its unique capability of independent light tr...

The purpose of this study was to discover if a relationship existed between the most common safety concerns and the most common UAS accidents with regards to the integration of military unmanned aerial systems (UAS) into...

Abstract Integrating magnetic field evasion and obstacle avoidance is crucial for the safe operation of intelligent robots, yet the limited sensitivity and discrete structure of magnetic field/pressure dual-mode sensors ...

Abstract In this work, measuring capabilities of a Sagnac Interferometer-based Distributed Optical Fiber Sensor (DOFS) system are demonstrated by comparing its results to a conventional amplitude-based Distributed Acoust...

How do living systems sustain communication, identity, and resilience while remaining exposed to disorder and environmental perturbations? How do poly-genomic organisms integrate evolutionary history (including non-genet...

Sensorineural hearing loss (SNHL) is a major cause of disability worldwide, characterized by irreversible damage to cochlear hair cells and spiral ganglion neurons. Current treatments such as hearing aids and cochlear im...

Mathematics and computer science play a pivotal role in modern biology. Dynamical models based on differential equations are particularly adapted to describe dynamic behaviors of many biological processes. However, tradi...

Implicit learning is a fundamental cognitive process whose identification is critical for understanding human cognition and developing innovative training methodologies. We propose a generalizable feature selection and s...

Forward-towed towfish systems offer practical advantages for uncrewed surface vehicle (USV)-based operations because they are inherently compatible with simplified launch-and-recovery procedures and reduced deck interven...

Abstract Simulating meat flavor via Maillard reaction model systems that contain a mixture of amino acids and reducing sugars is an effective approach to understanding the reaction mechanism of the flavor precursors. Not...

Intelligent tire systems (ITS) enable direct sensing of tire and road interaction using sensors mounted inside the tire, providing information that is difficult to obtain from conventional vehicle-mounted sensors. Howeve...

The present study was conducted to assess carcass features, physicochemical and sensory parameters of meat from steers finished on three types of pastures: natural pasture; natural pasture improved, fertilized and overso...

Abstract Background Subcortical structures are pivotal for cortico-subcortical communication, yet are highly vulnerable to stroke. Damage to these structures can produce widespread cortical dysfunction, but how subcortic...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

ABSTRACT This paper presents an event‐triggered pinning observer‐based control of unknown large‐scale interconnected systems under false data injection attacks using distributed noisy data without any system identi...

Traffic congestion degrades urban mobility and economic productivity, yet existing sensor-based monitoring systems detect only where congestion occurs without distinguishing its underlying infrastructure causes. This pap...

Tropical dry forests and savannas provide important ecosystem services and harbor high biodiversity, yet are globally under pressure from land-use change. Mapping changes in the condition of dry forests and savannas is t...

Introduction: Diabetic Neuropathy (DN) is a common and debilitating complication of Diabetes Mellitus (DM), involving the sensory, motor, and autonomic nervous systems, with limited disease-modifying treatment options. E...

The integration of the Internet of Things (IoT) into healthcare would mean a revolutionized approach in patient monitoring, diagnosis, and treatment, making this quite some development in healthcare delivery. This review...

As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant industry, academic, regulatory and media attention. For sUAS th...

Abstract Wearable sensor–based human activity recognition (HAR) is central to smart sport and health-monitoring applications, yet existing deep learning models often rely on ad hoc multimodal fusion and offer limited i...

This paper presents an Internet of things 36-rotor unmanned aerial vehicle suitable for radiological surveying of buildings and facilities. The design of the 36-rotor multicopter platform is disclosed. The aircraft is us...