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The relationship of muscle oxygen saturation analyzer with other monitoring and quantification tools in a maximal incremental treadmill test
Get PDFIntroduction: The study aims to explore whether NIRS derived data can be used to identify the second ventilatory threshold (VT2) during a maximal incremental treadmill test in non-professional runners and to determine if there is a correlation between SmO2 and other valid and reliable exercise performance assessment measures or parameters for maximal incremental test, such as lactate concentration (LT), RPE, HR, and running power (W).
Methods: 24 participants were recruited for the study (5 women and 19 men). The devices used consisted of the following: i) a muscle oxygen saturation analyzer placed on the vastus lateralis of the right leg, ii) the Stryd power meter for running, iii) the Polar H7 heart rate band; and iv) the lactate analyzer. In addition, a subjective perceived exertion scale (RPE 1-10) was used. All of the previously mentioned devices were used in a maximal incremental treadmill test, which began at a speed of 8 km/h with a 1% slope and a speed increase of 1.2 km/h every 3 min. This was followed by a 30-s break to collect the lactate data between each 3-min stage. Spearman correlation was carried out and the level of significance was set at p < 0.05.
Results: The VT2 was observed at 87,41 ± 6,47% of the maximal aerobic speed (MAS) of each participant. No relationship between lactate data and SmO2 values (p = 0.076; r = −0.156) at the VT2 were found. No significant correlations were found between the SmO2 variables and the other variables (p > 0.05), but a high level of significance and strong correlations were found between all the following variables: power data (W), heart rate (HR), lactate concentration (LT) and RPE (p 0.5).
Discussion: SmO2 data alone were not enough to determine the VT2, and there were no significant correlations between SmO2 and the other studied variables during the maximal incremental treadmill test. Only 8 subjects had a breakpoint at the VT2 determined by lactate data.
Conclusion: The NIRS tool, Humon Hex, does not seem to be useful in determining VT2 and it does not correlate with the other variables in a maximal incremental treadmill test
Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction
Get PDFInternet of Things (IoT) has made significant strides in energy management systems recently. Due to the continually increasing cost of energy, supply–demand disparities, and rising carbon footprints, the need for smart homes for monitoring, managing, and conserving energy has increased. In IoT-based systems, device data are delivered to the network edge before being stored in the fog or cloud for further transactions. This raises worries about the data’s security, privacy, and veracity. It is vital to monitor who accesses and updates this information to protect IoT end-users linked to IoT devices. Smart meters are installed in smart homes and are susceptible to numerous cyber attacks. Access to IoT devices and related data must be secured to prevent misuse and protect IoT users’ privacy. The purpose of this research was to design a blockchain-based edge computing method for securing the smart home system, in conjunction with machine learning techniques, in order to construct a secure smart home system with energy usage prediction and user profiling. The research proposes a blockchain-based smart home system that can continuously monitor IoT-enabled smart home appliances such as smart microwaves, dishwashers, furnaces, and refrigerators, among others. An approach based on machine learning was utilized to train the auto-regressive integrated moving average (ARIMA) model for energy usage prediction, which is provided in the user’s wallet, to estimate energy consumption and maintain user profiles. The model was tested using the moving average statistical model, the ARIMA model, and the deep-learning-based long short-term memory (LSTM) model on a dataset of smart-home-based energy usage under changing weather conditions. The findings of the analysis reveal that the LSTM model accurately forecasts the energy usage of smart homes
DrunkChain: Blockchain-Based IoT System for Preventing Drunk Driving-Related Traffic Accidents
Get PDFTraffic accidents present significant risks to human life, leading to a high number of fatalities and injuries. According to the World Health Organization’s 2022 worldwide status report on road safety, there were 27,582 deaths linked to traffic-related events, including 4448 fatalities at the collision scenes. Drunk driving is one of the leading causes contributing to the rising count of deadly accidents. Current methods to assess driver alcohol consumption are vulnerable to network risks, such as data corruption, identity theft, and man-in-the-middle attacks. In addition, these systems are subject to security restrictions that have been largely overlooked in earlier research focused on driver information. This study intends to develop a platform that combines the Internet of Things (IoT) with blockchain technology in order to address these concerns and improve the security of user data. In this work, we present a device- and blockchain-based dashboard solution for a centralized police monitoring account. The equipment is responsible for determining the driver’s impairment level by monitoring the driver’s blood alcohol concentration (BAC) and the stability of the vehicle. At predetermined times, integrated blockchain transactions are executed, transmitting data straight to the central police account. This eliminates the need for a central server, ensuring the immutability of data and the existence of blockchain transactions that are independent of any central authority. Our system delivers scalability, compatibility, and faster execution times by adopting this approach. Through comparative research, we have identified a significant increase in the need for security measures in relevant scenarios, highlighting the importance of our suggested model
El impacto del bilingüismo en el desarrollo comunicativo de niños con Trastorno del Espectro Autista
No full textEl bilingüismo es un fenómeno conocido por la capacidad de una persona para emplear adecuadamente las lenguas vehiculares que conoce de manera indistinta y efectiva. Se ha demostrado que esta habilidad proporciona una serie de beneficios a nivel cognitivo, especialmente en el área de la corteza prefrontal, donde se encuentran las funciones ejecutivas (FE) y del lenguaje. Sin embargo, los niños diagnosticados con trastorno del espectro autista (TEA) pueden tener dificultades en el uso del lenguaje debido a la afectación de estas áreas cerebrales. Dentro del espectro TEA, existen diferentes perfiles que van desde personas con un grado leve hasta un grado muy severo de afectación y es por ello que algunos niños con TEA tienen menor afectación del lenguaje y cognición, lo que significa que podrían beneficiarse del bilingüismo para potenciar estas habilidades. Por lo tanto, este estudio tiene como objetivo evaluar si los niños bilingües con TEA (TEA-B) tienen mejoras cognitivas específicas en el uso del lenguaje y habilidades cognitivas en comparación con los niños monolingües con TEA (TEA-M) y los niños bilingües con desarrollo típico (DT-B). El objetivo es validar o no la hipótesis principal y proponer un enfoque de investigación sobre cómo el bilingüismo podría ser beneficioso para esta población
PRUS: Product Recommender System Based on User Specifications and Customers Reviews
Get PDFThe rising popularity of online shopping has led to a steady stream of new product evaluations. Consumers benefit from these evaluations as they make purchasing decisions. Many research projects rank products using these reviews, however, most of these methodologies have ignored negative polarity while evaluating products for client needs. The main contribution of this research is the inclusion of negative polarity in the analysis of product rankings alongside positive polarity. To account for reviews that contain many sentiments and different elements, the suggested method first breaks them down into sentences. This process aids in determining the polarity of products at the phrase level by extracting elements from product evaluations. The next step is to link the polarity to the review’s sentence-level features. Products are prioritized following user needs by assigning relative importance to each of the polarities. The Amazon review dataset has been used in the experimental assessments so that the efficacy of the suggested approach can be estimated. Experimental evaluation of PRUS utilizes rank score ( RS ) and normalized discounted cumulative gain ( nDCG ) score. Results indicate that PRUS gives independence to the user to select recommended list based on specific features with respect to positive or negative aspects of the products
Technocreativity, Social Networks and Entrepreneurship: Diagnostics of Skills in University Students
No full textThis paper presents the first exploratory results of a research integrated in a more global project on digital and entrepreneurial skills of students at the University ***. The study reveals gaps in professional skills such as problem solving, strategic thinking and creativity. For this reason, a pedagogical project is created integrating the use of social media in training (entrepreneurship), research (knowledge management) and university transfer. The aim is to develop skills in digital talent, (techno)creativity and to implement work methodologies, such as design thinking and growth hacking. In addition, it will encourage selflearning of the students, improve their e-competences, creative capacity and practical skills for a better adaptation to the needs of social demand, where knowledge transfer generates development and growth scenarios (startup) and fosters innovation (competitive capacity). This innovative initiative will enable Higher Education students to acquire the most demanded skills in a multidisciplinary labour market that also requires specific ones in creativity, strategic capacity, project management, product innovation, solution generation and entrepreneurship. This is what forms the basis of an integral project of triangular synergy between University, Business and Society
The Effect of Dietary Polyphenols on Vascular Health and Hypertension: Current Evidence and Mechanisms of Action
No full textThe aim of this review was to explore existing evidence from studies conducted on humans and summarize the mechanisms of action of dietary polyphenols on vascular health, blood pressure and hypertension. There is evidence that some polyphenol-rich foods, including berry fruits rich in anthocyanins, cocoa and green tea rich in flavan-3-ols, almonds and pistachios rich in hydroxycinnamic acids, and soy products rich in isoflavones, are able to improve blood pressure levels. A variety of mechanisms can elucidate the observed effects. Some limitations of the evidence, including variability of polyphenol content in plant-derived foods and human absorption, difficulty disentangling the effects of polyphenols from other dietary compounds, and discrepancy of doses between animal and human studies should be taken into account. While no single food counteracts hypertension, adopting a plant-based dietary pattern including a variety of polyphenol-rich foods is an advisable practice to improve blood pressur
Emotion Regulation as a Moderator of Outcomes of Transdiagnostic Group Cognitive-Behavioural Therapy for Emotional Disorders
No full textThe aim of this study was to examine the potential moderating effect of baseline emotion regulation skills—cognitive reappraisal and expressive suppression—on the relationship between treatment allocation and treatment outcomes in primary care patients with emotional symptoms. A total of 631 participants completed scales to evaluate emotion regulation, anxiety, depression, functioning, and quality of life (QoL). The moderation analysis was carried out using the SPSS PROCESS macro, version 3.5. Expressive suppression was a significant moderator in the relationship between treatment allocation and treatment outcomes in terms of symptoms of anxiety (b= -0.530, p=.026), depression (b= -0.812, p= .004) and QoL (b= 0.156, p= .048). Cognitive reappraisal only acted as a moderator in terms of QoL (b= 0.217, p= .028). The findings of this study show that participants with higher scores of expressive suppression benefitted more from the addition of TD-CBT to TAU in terms of anxiety and depressive symptoms and QoL. Individuals with higher levels of cognitive reappraisal obtained a greater benefit in terms of QoL from the addition of psychological treatment to TAU. These results underscore the relevant role that emotion regulation skills play in the outcomes of psychological therapy for emotional symptoms
Why Percussive Massage Therapy Does Not Improve Recovery after a Water Rescue? A Preliminary Study with Lifeguards
No full textThe aim of this study was to analyze the effects of percussive massage therapy (PMT) on lifeguards’ recovery after a water rescue, in comparison with passive recovery. Methods: A quasi-experimental crossover design was conducted to compare passive recovery (PR) and a PMT protocol. A total of 14 volunteer lifeguards performed a simulated 100 m water rescue and perceived fatigue and blood lactate were measured as recovery variables after the rescue and after the 8-min recovery process. Results: There were no differences between PMT and PR in lactate clearance (p > 0.05), finding in both modalities a small but not significant decrease in blood lactate. In perceived fatigue, both methods decreased this variable significantly (p 0.05). Conclusions: PMT does not enhance recovery after a water rescue, in comparison with staying passive. Despite PMT appearing to be adequate for recovery in other efforts, it is not recommended for lifeguards’ recovery after a water rescue
Development of a Short Questionnaire for the Screening for Vitamin D Deficiency in Italian Adults: The EVIDENCe-Q Project
No full textBackground: To develop and validate a questionnaire for the screening of Vitamin D in Italian adults (Evaluation Vitamin D dEficieNCy Questionnaire, EVIDENCe-Q). Methods: 150 participants, attending the 11Clinical Nutrition and Dietetics Operative Unit, Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri IRCCS, of Pavia were enrolled. Demographic variables and serum levels of vitamin D were recorded. The EVIDENCe-Q included information regarding factors affecting the production, intake, absorption and metabolism of Vitamin D. The EVIDENCe-Q score ranged from 0 (the best status) to 36 (the worst status). Results: Participants showed an inadequate status of Vitamin D, according to the current Italian reference values. A significant difference (p < 0.0001) in the EVIDENCe-Q score was found among the three classes of vitamin D status (severe deficiency, deficiency and adequate), being the mean score higher in severe deficiency and lower in the adequate one. A threshold value for EVIDENCe-Q score of 23 for severe deficiency, a threshold value of 21 for deficiency and a threshold value of 20 for insufficiency were identified. According to these thresholds, the prevalence of severe deficiency, deficiency and insufficiency was 22%, 35.3% and 43.3% of the study population, respectively. Finally, participants with EVIDENCe-Q scores <20 had adequate levels of vitamin D. Conclusions: EVIDENCe-Q can be a useful and easy screening tool for clinicians in their daily practice at a reasonable cost, to identify subjects potentially at risk of vitamin D deficiency and to avoid unwarranted supplementation and/or costly blood testing