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"The author notes that few studies have been done of a single factor and how it affects the well-being of horses in transit. Journey duration does appear to induce weight loss in horses... While the direction in which the horses faced in relation to travel did not influence heart or respiration rate (this contradicts other studies). horses preferred to face the rear. Those horses facing the rear maintained their balance and ran faster after transport than those facing forward

Direction. --- Duration. --- Horse. --- Horses. --- Respiration rate. --- Review. --- Transit. --- Transport. --- Weight. --- Well-being.

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The preservation of freshness of fruits and vegetables until their consumption is the aim of many research activities. The quality losses of fresh fruit and vegetables during cold chain are frequently attributable to an inappropriate use of postharvest technologies. Moreover, especially when fresh produce is transported to distant markets, it is necessary to adopt proper storage solutions in order to preserve the initial quality.Nowadays, for each step of the supply chain (packing house, cold storage rooms, precooling center, refrigerate transport, and distribution), innovative preservation technologies are available that, alone or in combination, could preserve the fresh products in order to maintain the principal quality and nutritional characteristics. In this Special Issue, these preservation technologies will be described, highlighting their effect on quality maintenance.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- sweet potatoes --- cutting styles --- quality --- antioxidant activity --- peach --- chilling injury --- internal circulation system --- low fluctuation of temperature --- TiO2 photocatalytic --- storage quality --- β-cyclodextrin --- inclusion complex --- carvacrol --- essential oils --- active packaging --- citrus --- shelf life --- decay incidence --- Lactuca sativa L. --- minimally processed lettuce --- modified atmosphere packaging --- oxalic acid --- table grapes --- Botrytis cinerea --- grey mould --- spoilage microbes --- post-harvest --- modified atmosphere packaging (MAP) --- ozone (O3) --- antimicrobial compounds --- preservatives --- biocontrol --- cold atmospheric plasma --- microbes --- disinfection --- non-hazardous --- inactivation --- foodborne pathogen --- kinetic model --- Peleg constant --- papaya --- respiration rate --- nanoparticles coating --- active cardboard box --- plasma-activated water

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In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products’ quality traits and international competitiveness, especially within the past five years. Fermented beverages have been one of the most researched industries to implement these technologies to assess product composition and improve production processes and product quality. This Special Issue (SI) is focused on the latest research on the application of digital technologies on beverage fermentation monitoring and the improvement of processing performance, product quality and sensory acceptability.

sensor networks --- automation --- beer acceptability --- beer fermentation --- RoboBEER --- machine learning --- ultrasonic measurements --- long short-term memory --- industrial digital technologies --- yeast morphology --- automated image analysis --- heat stress --- vacuoles --- cell size --- computer vision --- foam stability --- image analysis --- lager beer --- foam retention --- polyphenols --- LC-ESI-QTOF-MS/MS --- HPLC --- medicinal plants --- ginger --- lemon --- mint --- herbal tea infusion --- antioxidants --- black pepper --- focus group --- hops --- Kawakawa --- off aromas --- gas sensors --- robotic pourer --- aroma thresholds --- climate change --- artificial neural networks --- volatile phenols --- glycoconjugates --- bushfires --- sparkling wine --- fermentation --- biogenic amines --- wine quality --- liquid chromatography --- principal component analysis --- augmented reality --- non-dairy yogurt --- contexts --- consumer acceptability --- emotional responses --- Fermentation --- Olea europaea --- respiration rate --- storage conditions --- transport --- TeeBot --- high throughput --- liquid handling robot --- metabolite analysis --- stochastic dynamic optimisation --- uncertainty --- n/a

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This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Humanities --- Social interaction --- eHealth --- wearable --- monitoring --- services --- integration --- IoT --- Telemedicine --- wearable sensors --- multivariate analysis --- longitudinal study --- functional decline --- exercise intervention --- accidental falls --- fall detection --- real-world --- signal analysis --- performance measures --- non-wearable sensors --- accelerometers --- cameras --- machine learning --- smart textiles --- healthcare --- talking detection --- activity recognition and monitoring --- patient health and state monitoring --- wearable sensing --- orientation-invariant sensing --- motion sensors --- accelerometer --- gyroscope --- magnetometer --- pattern classification --- artificial intelligence --- supervised machine learning --- predictive analytics --- hemodialysis --- non-contact sensor --- heart rate --- respiration rate --- heart rate variability --- time-domain features --- frequency-domain features --- principal component analysis --- behaviour analysis --- classifier efficiency --- personal risk detection --- one-class classification --- actigraphy --- encoding --- data compression --- denoising --- edge computing --- signal processing --- wearables --- activity monitoring --- citizen science --- cluster analysis --- physical activity --- sedentary behavior --- walking --- energy expenditure --- wearable device --- impedance pneumography --- neural network --- mechanocardiogram (MCG) --- smart clothes --- heart failure (HF) --- left ventricular ejection fraction (LVEF) --- technology acceptance model (TAM) --- physical activity classification --- free-living --- GENEactiv accelerometer --- Gaussian mixture model --- hidden Markov model --- wavelets --- skill assessment --- deep learning --- LSTM --- state space model --- probabilistic inference --- latent features --- human activity recognition --- MIMU --- genetic algorithm --- feature selection --- classifier optimization --- bispectrum --- entropy --- feature extraction --- heat stroke --- filtering algorithm --- physiological parameters --- exercise experiment --- biomedical signal processing --- wearable biomedical sensors --- wireless sensor network --- respiratory monitoring --- optoelectronic plethysmography --- biofeedback --- biomedical technology --- exercise therapy --- orthopedics --- mobile health --- qualitative --- human factors --- inertial measurement unit --- disease prevention --- occupational healthcare --- P-Ergonomics --- precision ergonomics --- musculoskeletal disorders --- wellbeing at work --- electrocardiogram --- conductive gels --- noncontact electrode --- myocardial ischemia --- pacemaker --- ventricular premature contraction --- upper extremity --- motion --- action research arm test --- activities of daily living --- IoT wearable monitor --- health --- posture analysis --- spinal posture --- wearable sensor --- embedded system --- recurrent neural networks --- physical workload --- wearable systems for healthcare --- machine learning for real-time applications --- actigraph --- body worn sensors --- clothing sensors --- cross correlation analysis --- healthcare movement sensing --- wearable devices --- calibration --- inertial measurement units --- human movement --- physical activity type --- real-life --- GPS --- GIS --- n/a

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This book provides a collection of comprehensive research articles on data analytics and applications of wearable devices in healthcare. This Special Issue presents 28 research studies from 137 authors representing 37 institutions from 19 countries. To facilitate the understanding of the research articles, we have organized the book to show various aspects covered in this field, such as eHealth, technology-integrated research, prediction models, rehabilitation studies, prototype systems, community health studies, ergonomics design systems, technology acceptance model evaluation studies, telemonitoring systems, warning systems, application of sensors in sports studies, clinical systems, feasibility studies, geographical location based systems, tracking systems, observational studies, risk assessment studies, human activity recognition systems, impact measurement systems, and a systematic review. We would like to take this opportunity to invite high quality research articles for our next Special Issue entitled “Digital Health and Smart Sensors for Better Management of Cancer and Chronic Diseases” as a part of Sensors journal.

Humanities --- Social interaction --- eHealth --- wearable --- monitoring --- services --- integration --- IoT --- Telemedicine --- wearable sensors --- multivariate analysis --- longitudinal study --- functional decline --- exercise intervention --- accidental falls --- fall detection --- real-world --- signal analysis --- performance measures --- non-wearable sensors --- accelerometers --- cameras --- machine learning --- smart textiles --- healthcare --- talking detection --- activity recognition and monitoring --- patient health and state monitoring --- wearable sensing --- orientation-invariant sensing --- motion sensors --- accelerometer --- gyroscope --- magnetometer --- pattern classification --- artificial intelligence --- supervised machine learning --- predictive analytics --- hemodialysis --- non-contact sensor --- heart rate --- respiration rate --- heart rate variability --- time-domain features --- frequency-domain features --- principal component analysis --- behaviour analysis --- classifier efficiency --- personal risk detection --- one-class classification --- actigraphy --- encoding --- data compression --- denoising --- edge computing --- signal processing --- wearables --- activity monitoring --- citizen science --- cluster analysis --- physical activity --- sedentary behavior --- walking --- energy expenditure --- wearable device --- impedance pneumography --- neural network --- mechanocardiogram (MCG) --- smart clothes --- heart failure (HF) --- left ventricular ejection fraction (LVEF) --- technology acceptance model (TAM) --- physical activity classification --- free-living --- GENEactiv accelerometer --- Gaussian mixture model --- hidden Markov model --- wavelets --- skill assessment --- deep learning --- LSTM --- state space model --- probabilistic inference --- latent features --- human activity recognition --- MIMU --- genetic algorithm --- feature selection --- classifier optimization --- bispectrum --- entropy --- feature extraction --- heat stroke --- filtering algorithm --- physiological parameters --- exercise experiment --- biomedical signal processing --- wearable biomedical sensors --- wireless sensor network --- respiratory monitoring --- optoelectronic plethysmography --- biofeedback --- biomedical technology --- exercise therapy --- orthopedics --- mobile health --- qualitative --- human factors --- inertial measurement unit --- disease prevention --- occupational healthcare --- P-Ergonomics --- precision ergonomics --- musculoskeletal disorders --- wellbeing at work --- electrocardiogram --- conductive gels --- noncontact electrode --- myocardial ischemia --- pacemaker --- ventricular premature contraction --- upper extremity --- motion --- action research arm test --- activities of daily living --- IoT wearable monitor --- health --- posture analysis --- spinal posture --- wearable sensor --- embedded system --- recurrent neural networks --- physical workload --- wearable systems for healthcare --- machine learning for real-time applications --- actigraph --- body worn sensors --- clothing sensors --- cross correlation analysis --- healthcare movement sensing --- wearable devices --- calibration --- inertial measurement units --- human movement --- physical activity type --- real-life --- GPS --- GIS