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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...

Abstract Wireless Sensor Networks comprise low-cost, low-power, lightweight, and multifunctional sensor nodes capable of sensing and transmitting data from remote or hazardous environments to a central base station. Thes...

Through the study of human genetic diversity, it can be predicted that complex traits, such as height and obesity, will be demonstrated. With the development of a new design technique using Surface Plasmon Resonance (SPR...

An ultrasound wave is a kind of acoustic signal with a frequency greater than 20 kHz, which is widely used in diverse fields such as medical imaging diagnosis, nondestructive testing and resource exploration. A variety o...

The fusion technique of the spectral bands captured by the sensors carried onboard satellites is one digital processing method for extracting information and detecting ground targets. Image fusion - also known as pan-sha...

Abstract The Internet of Healthcare Things (IoHT) is an emerging technology that has attracted researchers’ interest due to its broad applicability in recent years. In IoHT platforms, sensors continually collect patien...

This paper presents a cost-effective and portable multibeam planar antenna system designed to enhance connectivity in Internet of Things (IoT) applications. IoT networks face challenges such as high energy consumption, i...

Metallic nanoparticles supporting a localized surface plasmon resonance have emerged as promising platforms for nanoscopic labels, sensors, and (photo-) catalysts. To use nanoparticles in these capacities, and to gain me...

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...

High-speed optical imaging is an indispensable technology for blur-free observation of fast transient dynamics in virtually all areas including science, industry, defense, energy, and medicine. High temporal resolution i...

Nanopore sensors are expected to be one of the most promising next generation sequencing technologies, with label-free, amplification-free and high-throughput fea‐ tures, as well as rapid detections and low cost. Solid...

Abstract To address the demand for flow-induced vibration monitoring of steam generator heat transfer tubes in pressurized water reactors under high-temperature (350 °C) and high-pressure (17.5 MPa) conditions, a fi...

Optical sensors typically provide compact, fast and precise means of performing quantitative measures for almost any kind of measurand that is usually probed electronically. High-contrast grating (HCG) resonators are kno...

Abstract In polymer electrolyte fuel cells (PEFCs), temperature gradients can exert a substantial influence on cell performance and durability. Monitoring these gradients without perturbing fuel cell operation is one of ...

Abstract Low-Earth orbit (LEO) satellites encounter significant energy challenges during eclipse periods and low solar illumination, limiting mission autonomy, operational lifespan, and functionality. This paper presents...

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...

Abstract Meat contains high-value protein compounds that might degrade as a result of oxidation and microbial contamination. Additionally, various pathogenic and spoilage microorganisms can grow in meat. Moreover, contam...

Abstract The use of animal-borne devices to measure acceleration has yielded insights into animal locomotion, behaviour and energy expenditure. We present the first systematic review of accelerometry on animals, spanning...

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...

ABSTRACT Background and Aims Influenza remains a globally prevalent respiratory infection that is challenging to diagnose accurately. This systematic review focuses on aptamer‐based tools for influenza virus detection,...

BackgroundAutistic children experience enduring difficulties with emotion regulation and daily participation. Emotion-oriented play-learning tools (EPLTs, sensory play-learning tools for supporting emotion and self-regul...

Motorcycle theft and robbery have drastically increased the ease of losing motorcycles in public places, especially motorcycles that do not have more safety such as keyless in general. The current motorcycle security sys...

First-person accounts of perceptual experience in autism remain underrepresented in psychological research. This exploratory study examined how autistic adults use immersive media to externalize and reflect on perception...

Abstract Germination is an effective bioprocessing strategy for enhancing the nutritional quality and functional potential of legumes. This study systematically evaluated the effects of controlled germination on the nutr...