Biological Effects of Non-ionizing Electromagnetic Fields to 27 GHz on Sperm Quality of Mytilus galloprovincialis

Recently, a rising use of wireless internet technologies has been demonstrated. The devices which use these technologies emit a considerable amount of electromagnetic radiation (EMFs) which could interact with the male reproductive system. The aim of this study was to investigate in vitro influence of electromagnetic fields a 27 GHz on sperm quality in Mytilus galloprovincialis. The experiments were conducted with a no commercial high gain pyramidal horn antenna. Sperm samples, taken from sexually mature males of M. galloprovincialis, were placed in seawater. Once evaluated the number and quality of spermatozoa, sperm cells were exposed to electromagnetic fields. The effect of exposure was evaluated after 10, 20, 30 and 40 minutes with light microscope and using Eosin test. All the samples were performed in triplicate and statistical analysis was carried out by one-way ANOVA test. A significative decrease (30%) in sperm motility was ob-served after 10 minutes of exposure and after 30 minutes all sperms were immobile and not vital. The measurement of the Oxidation Reduction Potential (sORP), which evaluates the oxidative damage on spermatozoa, shows how the exposure to 27 GHz has increased the oxidant amount compared to the control groups. This study provides useful data on potential ecological impact of the EMFs on aquatic animals, that currently are poor investigated.

Advancement in Physical Education Teaching Using Improved Energy Efficient Scalable Routing Algorithm-Based Wireless Network

Physical education (PE) is a crucial topic in higher coaching that individually points motor abilities in health-enhancing activities. Conventional PE in institutions struggles to pique graduates’ attentiveness in sports, proceeding in low task involvements rates, and incapacity to exercise the body. Innovative teaching concepts and methodologies, coaching techniques and procedures, and coaching assessment techniques in physical education are all accompanied to developing the physical education study hall climate and successfully boosting physical education efficacy. Each element of regular living, especially education, is being influenced by wireless internet innovations. We will provide extra help to students by predicting academic endurance or dropout. We can improve the wireless platform’s potential utility in sports applications and change the character of PE, including visualization and repetition by incorporating it into PE teaching. Based on the concept of wireless network technology, this paper proposes an Improved Energy Efficient Scalable Routing Algorithm (IEESRA) for physical education advancement. Initially, the physical education dataset is preprocessed using normalization. The aspects are removed using the scale-invariant feature transform (SIFT) method. The data is transferred using a wireless network using Improved Energy Efficient Scalable Routing Algorithm (IEESRA). The classification is done using random forest (RF) classifier. The results of the analysis reveal that wireless network-based PE may increase graduates’ strength, speed, and qualities providing a more important reference and reference for enhancing the success of PE. The proposed strategy has the potential to enhance actual attention to PE teaching to 90% with raising students’ engagement to 70%.

ROUTE SELECTION METHOD FOR HIGH-DENSITY WIRELESS IOT NETWORK

Приводятся результаты исследования зависимости скорости передачи данных (ПД) от параметров маршрута в беспроводной сети интернета вещей. Предложен метод выбора количества и позиций узлов для организации маршрута в сети. Метод учитывает влияние расстояния между узлами маршрута и их количества на задержку доставки данных и скорость ПД по маршруту. Метод позволяет получить выигрыш в достижимой скорости ПД по сравнению с методами выбора маршрута по критерию количества транзитных узлов. The article presents theresults ofthe studyof thedependence of the data transfer rate on the route parameters in wireless Internet of Things (loT) networks. A method for choosing the number and positions of nodes for organizing a route in the loT network is proposed. The method takes into account the influence of the distance between the nodes of the route and their number on the delay in data delivery and the speed of data transmission along the route. The method allows one to obtain a gain in the attainable data transfer rate in comparison with methods of choosing a route based on the criterion of the number of transit nodes.

A Personalized Eccentric Cyber-Physical System Architecture for Smart Healthcare

The development and technological advancement of wireless sensor networks in different fields has been a revolution for mankind. To meet the high-end requirements, the support of the cloud that provides the resources for the application is very much essential. This paper presents an architecture called cloud sense to connect cyber and physical spaces for wireless body area networks with varying high-end workflow at different perspectives. The scalability issue in collecting patient data and processing the data is established using ganglia that is a scalable, distributed monitoring system to support high-performance computing in clusters for the set of input events such as electrocardiogram (ECG), blood pressure (BP), saturation of peripheral oxygen (SPO2), temperature, and skin conductance of the kind of human body parameters. Various parameter metrics have been analyzed based on the equivalent creation of instances. The connectivity mechanism behind the proposed cyber-physical system is unique of its kind; it is exhibited through wireless Internet on a small scale of three remote locations; the system works well with specific network parameter metrics; and the results proved that availability and scalability issues were addressed with numerical analysis.

ElasticWISP: Energy-Proportional WISP Backhaul Networks

<p>The provision of rural broadband infrastructure is a challenge for network operators across the globe, irrespective of their size. Wireless Internet Service Providers (WISPs) have shown that the small-scale deployment of wireless broadband infrastructure is a viable alternative to relying on cellular network providers for remote coverage. However, WISPs must often resort to using off-grid renewable energy sources such as solar energy for powering network sites, often resulting in undesirable, low-performance backhaul radios being used between sites out of concern for excessive energy consumption. The challenges of managing performant wireless backhaul networks in respect to energy constraints at remote, off-grid sites informs the need for energy-proportional design. Backhaul radios typically used by WISPs are not energy-proportional, meaning they use a consistent amount of energy, irrespective of wireless link utilisation. Using data from a real WISP network, diurnal traffic patterns show that WISP networks could benefit from energy-proportional design, without having to sacrifice performance. To encourage the development of high-performance, energy-proportional WISP backhaul networks, ElasticWISP, an optimisation architecture that reduces network-wide backhaul energy consumption while satisfying the user-demand for traffic, is introduced. ElasticWISP dynamically controls the configuration of backhaul radios based on bandwidth demands and the network-wide energy consumption of these radios. Through simulations driven by real WISP topology and data traffic, results show that ElasticWISP can offer energy savings of approximately 65% when WISP operators follow the proposed backhaul design methodology. Finally, a lightweight Multiprotocol Label Switching (MPLS)-based traffic engineering scheme, based on Segment Routing, is proposed. The implementation, named Segment Routing over MPLS (SR-MPLS), keeps traffic engineering path-state within each packet, meaning per-flow state is only held at SR-MPLS ingress routers. The lightweight approach of SR-MPLS also eliminates the otherwise necessary network-wide label flooding of traditional Segment Routing, making it ideal for bandwidth-sensitive wireless backhaul networks. Evaluation of SR-MPLS shows that it can perform as well as – and sometimes better than – competitor schemes.</p>

ElasticWISP: Energy-Proportional WISP Backhaul Networks

<p>The provision of rural broadband infrastructure is a challenge for network operators across the globe, irrespective of their size. Wireless Internet Service Providers (WISPs) have shown that the small-scale deployment of wireless broadband infrastructure is a viable alternative to relying on cellular network providers for remote coverage. However, WISPs must often resort to using off-grid renewable energy sources such as solar energy for powering network sites, often resulting in undesirable, low-performance backhaul radios being used between sites out of concern for excessive energy consumption. The challenges of managing performant wireless backhaul networks in respect to energy constraints at remote, off-grid sites informs the need for energy-proportional design. Backhaul radios typically used by WISPs are not energy-proportional, meaning they use a consistent amount of energy, irrespective of wireless link utilisation. Using data from a real WISP network, diurnal traffic patterns show that WISP networks could benefit from energy-proportional design, without having to sacrifice performance. To encourage the development of high-performance, energy-proportional WISP backhaul networks, ElasticWISP, an optimisation architecture that reduces network-wide backhaul energy consumption while satisfying the user-demand for traffic, is introduced. ElasticWISP dynamically controls the configuration of backhaul radios based on bandwidth demands and the network-wide energy consumption of these radios. Through simulations driven by real WISP topology and data traffic, results show that ElasticWISP can offer energy savings of approximately 65% when WISP operators follow the proposed backhaul design methodology. Finally, a lightweight Multiprotocol Label Switching (MPLS)-based traffic engineering scheme, based on Segment Routing, is proposed. The implementation, named Segment Routing over MPLS (SR-MPLS), keeps traffic engineering path-state within each packet, meaning per-flow state is only held at SR-MPLS ingress routers. The lightweight approach of SR-MPLS also eliminates the otherwise necessary network-wide label flooding of traditional Segment Routing, making it ideal for bandwidth-sensitive wireless backhaul networks. Evaluation of SR-MPLS shows that it can perform as well as – and sometimes better than – competitor schemes.</p>

The Utility of Social Media Recruitment to Achieve a More Diverse Participant Sample

The COVID-19 pandemic created an immediate, lasting impact on recruitment methods in academic research, most notably in the field of gerontology. To protect older adult participants’ health during the COVID-19 crisis, the Daily Balance Project, a 30-day micro-longitudinal study of older adults' awareness of balance in daily life, shifted to complete remote administration. Our new remote protocol included developing new methodologies to recruit participants with varying degrees of fall risk and educational attainment. In this study, we present our approach to remote online recruitment and compare educational attainment, objective and subjective fall risk, and alignment of objective/subjective fall risk across three samples recruited via a) Fall Clinic registry (16 participants); b) University e-newsletter to faculty and staff (5 participants); c) social media recruitment (7 participants). Eligibility included being 65+ and wireless internet at home. For samples a and b, screening assessments were conducted via phone while baseline assessments were conducted in-person. For sample c, screener and baseline assessment were virtual. Analysis of recruitment methods aims to determine whether recruitment via social media platforms may provide a sample of participants with more variation in fall risk or alignment of subjective versus objective balance. Results demonstrate no significant differences in educational attainment (p=0.7949) or balance confidence (p=0.213), despite significant differences in the alignment of objective and subjective fall risk (p=0.031). Participants from samples a and b proved more able to accurately assess fall risk, while sample c had the most misalignment between subjective and objective fall risk assessments.