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Mobilizing local government towards sustainable development: Challenges, initiatives, and support strategies
Get PDFThis article explores the innovative sustainable development plan designed for the Municipality Unit (MU) of Vytina, a rural community in Greece. The study focuses on the experience and lessons learned over four years through educational and planning activities led by the Sustainable Development Association. The article highlights challenges, particularly the lack of direct municipal and government support, and emphasizes the necessity of financial, educational, and regulatory mechanisms to improve the effectiveness of bottom-up planning. The methodology combined qualitative and quantitative approaches, including surveys, focus groups, and participatory planning sessions. Findings reveal the importance of empowering residents to shape their sustainability goals while addressing barriers such as limited resources, resistance to change, and institutional gaps. The study proposes measures to streamline planning and align local efforts with broader frameworks like the 2030 Agenda for Sustainable Development. This research contributes to sustainable development discourse by providing a replicable model for rural communities, balancing local realities with global objectives. It highlights the pivotal role of municipalities and governments in fostering effective and inclusive sustainability initiatives
Modified scaled exponential linear unit
Get PDFActivation functions assume a crucial role in elucidating the intricacies of training dynamics and the overall performance of neural networks. Despite its simplicity and effectiveness, the ubiquitously embraced ReLU activation function harbors certain drawbacks, notably the predicament recognized as the “Dying ReLU” issue. To address such challenges, we propose the introduction of a pioneering activation function, the modified scaled exponential linear unit (M-SELU). Drawing from an array of experiments conducted across diverse computer vision tasks employing cutting-edge architectures, it becomes apparent that M-SELU exhibits superior performance compared to ReLU (used as the baseline) and various other activation functions. The simplicity of the proposed activation function (M-SELU) makes this solution particularly suitable for multi-layered deep neural architecture, including applications in CNN, CIFAR-10, and the broader field of deep learning
The use of digital technologies in the sport and physical education lesson: Fostering need-supportive behaviours in physical education teachers
Get PDFIn primary and high school settings, the benefits of incorporating technology into curricula have been addressed by several studies; however, wearable technology integration as experienced by physical education teachers is less prevalent. Physical education teachers’ lack of confidence teaching P.E. using wearables, along with a lack of appropriate preparation and unclear curricula frameworks that define how wearables could be used, are additional factors which require further exploration. As such, due consideration of the opportunities and barriers that physical education teachers encounter with wearable usage is presented. This article contributes to pedagogical practices in physical education using wearable technology. This is achieved by highlighting the opportunities that wearable technology presents as a student learning support tool as wearable allow cross curriculum learning opportunities with science, technology, engineering and mathematics. In this paper, the practicality and curriculum relevance of wearable usage in physical education is highlighted. Our paper discusses implications for research and practice and provides a knowledge base for the establishment of professional development courses based on teacher needs
A research on the construction path of ecological city under the concept of carbon neutrality—A case study of Chinese city
Get PDFUnder China’s ambitious goal of peaking carbon dioxide emissions by 2030 and achieving carbon neutrality by 2060, we should re-examine the way of urban development, study the key to carbon pollution, change the original urban renewal path, and seek energy-saving and emission reduction. Therefore, this paper takes Xiamen City as an example, through questionnaire survey, mathematical statistics analysis and other methods, combined with the practice of low-carbon city and ecological civilization construction in Xiamen City, this paper makes an in-depth analysis of carbon pollution problems such as transportation carbon emissions, domestic waste disposal carbon emissions and industrial waste carbon emissions in Xiamen City, and puts forward the urban renewal path of Xiamen City to effectively reduce carbon emissions based on the concept of carbon neutrality, which provides a low-carbon plan for Xiamen City’s urban renewal and is of great significance for Xiamen City to achieve the dual-carbon goal
Adaptive beamforming approach for secure communication in 5G network
Get PDFThe beamforming approach has been emerging as a very important concept for next generation networks. In addition to the improved channel capacity, spectral efficiency, energy efficiency, secrecy rate and secrecy outage probability, the upcoming fifth generation network mainly aims at enhancing the parameters of the channel for secure communication. In this paper, we have implied the allocation of resource blocks adaptively using HMM with a beamforming approach in an intruded network. A system model for secure communication in an intruded network has been discussed using a beamforming approach with the main motive being to provide a security scenario to the data which is transmitted over an unsecured channel in a network. In addition to this we have used the approach of HMM for allocating the resource blocks to the users which have been demanded and applied in order to avoid the intrusion and wastage of resource blocks
Artificial neural network-based home energy management system for smart homes
Get PDFEnergy efficiency is widely recognized as one of the most significant and economical ways to lower greenhouse gas (GHG) emissions. The aims and goals are that smart meters can evaluate and communicate in-depth real-time electricity usage, enable remote real-time monitoring and management of power consumption, and provide consumers with real-time pricing and analyzed usage information. The house energy management controller decides which loads will be powered based on the real home energy demands and the predefined load priorities. Artificial intelligence (AI) is being used increasingly in control applications due to its great effectiveness and efficiency. As a result, in this work, the author designed, simulated, and optimized an artificial neural network-based model simulation framework that simulates a home with a variety of home appliances and optimizes the total energy consumption of the home realistically through intelligent control of home appliances. The MATLAB application was used to model and examine the performance of four common household appliances: the water heater (WH), washing machine (WM), air conditioner (AC), and refrigerator (RG). The result shows a considerable reduction and savings in energy consumption without a decrease in consumer comfort
Fermat surfaces and hypercubes
Get PDFFermat’s last theorem appears not as a unique property of natural numbers but as the bottom line of extended possible issues involving larger dimensions and powers when observed from a natural vector space viewpoint. The fabric of this general Fermat’s theorem structure consists of a well-defined set of vectors associated with N-dimensional vector spaces and the Minkowski norms one can define there. Here, a special vector set is studied and named a Fermat surface. Besides, a connection between Fermat surfaces and hypercubes is unveiled
Unveiling renoprotection: A comprehensive review of SGLT2 inhibitors, with emphasis on empagliflozin in the treatment of chronic kidney disease
Get PDFChronic kidney disease (CKD) affects 10%–13% of the global population, necessitating innovative treatments. Empagliflozin, a sodium-glucose cotransporter 2 (SGLT2) inhibitor, shows promise by reducing glycated hemoglobin and benefiting kidney and cardiovascular health. By spotlighting renoprotective mechanisms like glucose control and anti-inflammatory effects, insights from trials such as EMPA-REG OUTCOME unveil decreased kidney disease progression, improved eGFR, and reduced albuminuria with empagliflozin. Safety profiles and comparisons: Evaluating safety profiles, potential adverse events, and comparisons with other SGLT2 inhibitors provides a nuanced perspective on the therapeutic potential of empagliflozin. The review emphasizes the importance of diverse CKD population studies, continuous safety monitoring, and exploring SGLT2 inhibitors in specific demographics. In summary, empagliflozin emerges as a versatile therapeutic option in the SGLT2 inhibitor class for CKD, reshaping disease management. Final thoughts: Ongoing research and vigilant monitoring are crucial for maximizing the potential of SGLT2 inhibitors, especially empagliflozin, to enhance patient well-being in CKD
Quantification of four sulfonamide residues in prawns using ultrasound-assisted matrix solid-phase dispersive extraction coupled with pre-column derivatization and high-performance liquid chromatography with fluorescence detection
Get PDFObjective: To develop a method for the simultaneous detection of four sulfonamide residues in prawns—sulfadiazine, sulfathiazole, sulfamerazine, and sulfamethazine—using ultrasound-assisted matrix solid-phase dispersion extraction combined with pre-column derivatization and high-performance liquid chromatography (HPLC). Methods: By optimizing extraction conditions, ethyl acetate was chosen as the extraction solvent and florisil as the solid dispersion agent. Sulfonamides were extracted from prawns using ultrasound-assisted matrix solid-phase dispersion, then derivatized with fluorescamine and analyzed by HPLC with fluorescence detection. Results: The sulfonamides exhibited excellent linearity within the concentration range of 2–100 μg/L, with correlation coefficients greater than 0.999. Detection limits were 0.5 μg/kg and quantification limits were 2 μg/kg. Spike recoveries for blank prawn samples ranged from 84.4% to 93.9% at 2 and 20 μg/kg, with relative standard deviations (n = 3) below 7.7%. Conclusion: The method is straightforward, efficient, and highly precise, meeting the standards for residue analysis
Editorial for Metaverse (Volume 5, Issue 1)
No full textWelcome to the latest issue of Metaverse, where we explore the intersection of technology, art, and society in this rapidly evolving digital landscape. This issue delves into diverse aspects of the metaverse, from the integration of AI in creative processes to advancements in autonomous vehicle localization, and blockchain-based cybersecurity in mobile commerce