Contemporary Perspective on Science, Technology and Research Vol. 4

The work focuses on the question of the phenomenon of resonance as a key physical factor in the development of organic matter and thus of life forms. With the subject-specific separation of physical chemistry from physiology, the step towards emphasizing energetic processes in biological coerces was taken. Nevertheless, the morphological consideration of their processes is still largely in the foreground. But it can be seen that these energetic processes are the basis of life. The physical facts of the laws of nature are the basis and must also be the basis of scientific consideration. If one follow the development of life and all its forms of life back to the physical foundations on the basis of today's scientific analyses, conclusions emerge that expand our knowledge. A form of regulation of life processes, the resonance, will have to be discussed. The further back you trace the development of life forms, the more scientific foundations become visible. Inasmuch as in the area of sub- cellular processes, there are energetic dependencies in which the energy supply and energy regulation are regulated by resonance. Despite knowledge of physics and chemistry, considerations in this regard are not always common knowledge. Quantum mechanical perspectives are required in order to be able to penetrate deeper into the processes of origin of life. The discussions are intended to provide some general depth.

Internet of Things (IoT) has got more attention in the research field of computer science. The extreme increase in the IoT appliances across various factors, such as smart industries and health care appears with extensive security hazards. It is not only restricted to the attacks on confidentiality but also broadens to the attacks on performance and availability of the network. Hence, an intrusion detection mechanism is mandatory for identifying the attacks on IoT to offer effectual protection and security. Even though various intrusion detection methods are developed, achieving higher classification performance still results a challenging task. Therefore, an effective intrusion detection method is developed using the proposed Competitive Swarm Henry Optimization (CSHO)-based Deep Maxout network to find intruders in the IoT environment.

The process of detection strategy is carried out with the information captured by nodes distributed in network. Routing plays an essential role in transferring data from IoT devices to the base station (BS) to accomplish the task of intrusion discovery. It is the common approach used for increasing the energy efficiency in network communication. Here, the selection of optimal routing path is made using the FGGWO. The data received at BS undergoes the features selection phase and intrusion detection phase for detecting the intruders in IoT network. Here, deep learning classifier is used to identify network intruders.

The feature selection is mainly used to increase the computational efficiency and learning performance. The feature selection phase plays an essential factor in reducing dimension of data and to prevent overfitting. The input data Di is fed to feature selection module for selecting features using the Tversky index. After the selection of unique features, the mechanism of intrusion discovery is done with Deep Maxout. The training of Deep maxout network is done by CSHO algorithm. The working principle of HGSO depends on Henry's law. It has the facility to balance the exploration and exploitation phase by reproducing the gas huddling behavior.

The proposed solution offers security as a service and provides evidence in terms of scalability. However, the proposed method offers better results using the metrics, like energy, F-measure, precision, and recall as 0.1610, 0.9001, 0.9052, and 0.8993, respectively.

Basketball is one of the most popular team sports in the world, and many sport scientists are intensely studying many different aspects and factors that affect or explain players’ performance in this specific sport. The pre-season period in basketball includes all the physiological attributes that the players need to work on and develop, in order to sustain a full season workload. The monitoring of the effectiveness of pre-season training is based on a variety of biochemical and physiological indices; however, it is still unclear how pre-season training affects those markers. Therefore, this study aimed to analyze the effects of pre-season training on biochemical and physiological markers. A search was performed in five large scientific databases (Pubmed (Medline), Scopus, Science-Direct, Sport- Discus (EBSCO), Semantic Scholar) and produced 7081 results, which after removing duplicates and applying inclusion and exclusion criteria, resulted in 28 published scientific articles being included in this review. The most important findings suggested that the majority of the studies used a 6- or an 8-week pre-season training protocol, because these protocols have shown significant positive effects over the years. In addition, the plyometric training protocols that were used by many studies have been found to be beneficial for basketball athletes for many physiological parameters. Furthermore, the evaluation of biochemical markers can be a very useful tool in monitoring and managing fatigue, which is an essential part of modifying the training process, in order to maximize performance. Conclusively, our research tried to help the community around the sport of basketball, by demonstrating some new perspectives and providing some scientific insights about basketball player conditioning.

Climate change consists of the most important global environmental problem in our era and its mitigation requires the elimination of the fossil fuels use in all sectors. Transportation consumes large amounts of fossil fuels and has a high share in carbon emissions. According to the current EU policies the conventional vehicles using petrol-based fuels should substitute by 2030 at least 14% of their fuels with bio-fuels including bio-ethanol and bio-diesel. The vehicles in the island of Crete, Greece currently use conventional fuels. The present study investigates the feasibility of substituting 14% of their petrol-based fuels with bio-fuels that could be produced locally. The consumption of gasoline and diesel oil during 2021 in Crete was estimated at 309,766 tons while their carbon emissions at 1,005,182 tnCO₂. The required bio-ethanol substituting 14% of the gasoline currently used is estimated at 33,475 tons/year while the bio-diesel substituting the diesel oil at 28,260 tons/year. The annual carbon emission savings due to substitution of conventional fuels with bio-fuels are calculated in the range of 57,207 tnCO₂ to 68,105 tnCO₂. The land required for the cultivation of the crops producing the abovementioned quantities of bio-fuels corresponds at 4.33% of the total island’s area. The cultivation of energy crops in Crete for bio-fuels production is not foreseen in the future and the required bio-fuels to meet the EU quota should be imported from other territories. It is foreseen that the future de-carbonization in vehicles’ transportation in Crete should be achieved with the electrification of the transportation sector using green electricity generated locally by the abundant solar and wind energy resources.

Background: Cricket, often classified as an aerobic sport, involves players engaging in diverse activities at varying intensities and speeds, such as jumping, sprinting, catching, and diving. Despite being interspersed with intervals, the game demands bursts of explosive actions, making it crucial to explore the association between explosive power and endurance in state-level cricketers. This study aims to fill the gap in the literature by investigating the correlation between these physical attributes, considering the limited evidence on this topic.

Methods: Conducted in Faridabad, this study involved 100 male state-level cricketers aged 16-23 from various cricket academies. A thorough screening and assessment protocol was employed for participant selection, with performance tests measuring explosive power through the vertical jump test and endurance using the yo-yo intermittent recovery test.

Results: The study unveiled a significant positive correlation (r = 0.237, p = 0.017) between explosive power and VO2 max levels in state-level cricketers.

Conclusion: The findings suggest that there is a positive association between explosive power and V02 max levels among state-level cricketers, emphasizing the importance of addressing both aspects in their training regimes.

To achieve a reliable and efficient system operation, this study presents an optimized algorithm which enhances the model-based (MB) tracking capability so as to overcome major deficiencies as discussed below. Photovoltaic (PV) power has become the most attractive choice among various renewable resources. However, one major challenge associated with PV interfacing is its intermittent output characteristic which varies dramatically with the operating conditions. Thus, designing an effective maximum power point tracking (MPPT) algorithm is a key aspect for optimizing PV system performance. Numerous MPPT algorithms have been proposed earlier having their own specific advantages. However, these are found to have two major limitations which have to be essentially addressed. Firstly, they become ineffective in the dynamic conditions where there is rapid change in environmental parameters like insolation and temperature. Secondly, they fail to discriminate between global and local peaks under partial shading conditions. Effectiveness of proposed tracking algorithm is tested by obtaining PV power characteristics under dynamic conditions where different parameters are varied alternately. On the basis of modified governing equations and incorporating the precised estimation of parameters, it predetermines the MPP analytically. First simulated results are obtained where it is tested for dynamic variations of all the three parameters. Then the experimental validation is carried out on a 2 KW installed panel where real time data is recorded through CR1000 data logger and environmental parameters are sensed with elements like pyranometer, humidity sensor, etc. Numerous experimental results are analyzed for tracked MPP in the dynamic conditions, which are then summarized in tabular forms. These are finally plotted and compared with simulated results to illustrate the effectiveness of proposed MB algorithm. Thus, it has been verified that MB algorithm is very efficient and effective for tracking not only in dynamically varying insolation or temperature but additionally it is equally capable for typical shaded panels also.

In this work, we investigated the dynamics of a single cavitation bubble near a solid cylindrical rod with five different radii and a cylindrical rod with infinite radius (called here as flat plate) at different relative wall distances. First, we simulated dynamics of the cavitation bubble near a flat plate using a fully compressible model and validated the results with our experimental data. Second, we analyzed the effects of three relative wall distances (different _\(\gamma\)RB the effects of different radii (different _\(\gamma\)CR) of cylindrical rod on the bubble dynamics. Finally, we compared the bubble dynamics near a cylindrical rod and the flat plate at different relative wall distances and under effects of various radii of cylindrical rod. The results showed that the continuous enhancement of the cylindrical rod’s radius can affect the bubble collapse dynamics. In addition, the value of the wall pressure at the flat plate condition was about 1.9 MPa which is slightly lower than the value of the impact pressure at the condition of _\(\gamma\)CR = 8:0 with the value of 2.1 MPa. Through the comparison of the jet velocity evolution at different conditions of  _\(\gamma\)CR , it was found that the jet velocity at the conditions _\(\gamma\)CR = 0:5 and _\(\gamma\)CR = 1:0 can be reached it’s highest value at both relative wall distances of _\(\gamma\)RB = 0:6 and _\(\gamma\)RB = 0:9. Furthermore, a similar evolution process of the jet velocity was obtained for the conditions _\(\gamma\)CR = 4:0; 6:0; 8:0 at both relative wall distances of _\(\gamma\)RB 0:6 and _\(\gamma\)RB = 0:9 compared to the flat plate condition. For a radius of cylindrical rods six times larger than bubble maximum radius, similar collapse dynamics for the rod and flat plate were observed.

Now a day’s technology is running with time, it completely occupied the life style of human beings. One of the most significant and efficient uses of this has been evident in the farming sector. Even though there is such an importance for technology in our routine life there are even people whose life styles are very far to this well-known term technology. The aim of this study is to design and develop an innovative solution for rain-protected drying sheds that can automatically detect rainfall and provide shelter for drying agricultural produce. One of the issues which need to be addressed is the protection of crops from heavy rainfall which causes significant damage to the crop production and soil yield, also causing huge mental distress to a farmer. We in our proposed model have given a solution to this problem by giving automated as well as manual control. The implementation of an automatic rain resistant drying shed has the potential to significantly improve the efficiency and effectiveness of drying operations in the agricultural sector. Overall, the automatic rain resistant drying shed presents a practical and innovative solution to mitigate the impact of rainfall on drying operations, ultimately contributing to the preservation of agricultural produce, reduction in post-harvest losses, and improved livelihoods for farmers.

Inspired by some open conjectures in rational dynamical system by G.Ladas and Palladino, in this paper we consider the problem of solving a third order difference equation. We comment the conjecture by Ladas. We illustrate the accuracy of the obtained solutions in concrete examples.