Since the inception of space exploration from the 1950s, the selection of astronauts has been a critical component along with technological advancements in rocket and spacecraft development. As missions began to extend beyond six months in the 2010s, the management of daily schedules— particularly in terms of striking a balance between public duties and private time—became essential for sustainable productivity and well-being among astronauts. As space lacks natural day and night cycles, questions have emerged regarding daily routines, the structure of personal time and its potential impact on astronautical performance. Astronaut’s management of private time—sleep, rest and leisure—may significantly influence their mental health and the overall success of a mission. This study explores time management strategies for future deep space explorations, including lunar and Martian expeditions in the 2030s. While official schedules are meticulously structured—covering operations, scientific research, maintenance, training, exercise and meals—safeguards for private time remains in place, except during emergencies. The role of this private sphere extends beyond basic rest, thus contributing to human health under extreme environments. In addition to analysing the competitiveness of personal time, this paper argues a new hypothesis that non-pharmaceutical activities of yoga (physical movement) and meditation (mental sustainability) can enhance resilience and psychological vitality among the crews. These feasible practices, although outside the scope of traditional STEM frameworks, may mitigate key internal risks in the space condition of social isolation and confinement. Understanding and optimising the balance between private and public times could be imperative in maintaining the health, safety and team performance of astronauts on future interplanetary missions.

Leaders adopt innovative and creative approaches to make sure their organizations stay relevant amid the challenges posed by rapid technological advancement and globalization. The study explores the ways in which innovative practices, creativity, and leadership behavior influence organizational growth focusing on church settings in Lagos, Nigeria. A cross-sectional survey design was used to collect information from 337 church leaders from various denominations. Statistical analysis revealed positive relationships between leadership behavior, creativity, and innovation, underscoring their impact on church growth. The effects of creativity and innovation on sustainable growth of church organization were found to be moderated by leadership behavior, highlighting the need for church leaders to foster innovative strategies. The study provides useful insights for enhancing leadership effectiveness and adds to the limited body of research on organizational growth within church settings. This research offers suggestions for promoting innovation and creativity in church organizations, such as utilizing technology, fostering an inclusive environment, and promoting creativity. Furthermore, the study has important implications for church leaders aiming to adapt to innovative dynamics while maintaining their organizational mission and values.

Sustainable environment play a significant role in development of every country on the globe. However, the former has been undergoing various changes due various factors adopted to assist in enhancing countries developments. The current study aims to evaluate the impact of foreign and domestic investments, industrialization, population growth and GDP per capita on environmental degradation in South Africa. Auto-regressive Distributed Lag (ARDL) and error correction are the approaches employed to determine the relationship among variables. The study outcome endorsed the existence of a long-run impact of all explanatory variables on environment degradation. Additionally, the results revealed that industrialization, economic growth and foreign direct investment heighten CO2 emissions and environmental degradation, while employment and population growth reduce the level of CO2 emissions in long-run. The study recommends collaborations amid foreign investors, domestic industries, and research institutions to advance the establishment of cleaner technologies and sustainable environmental practices in South Africa. Similarly, government should encourage and invest in green energy production to improve economy without impeding the environment.

Thanks to the developing technology, innovative activities emerge in the education sector, as in every sector. Contrary to traditional teaching and learning methods, novel models have started to be used in the education sector with the opportunities offered by virtual reality (VR), augmented reality (AR) or mixed reality (MR) technologies used in many different sectors. In this study, a model developed for use in the education sector in Turkey, which is named MEB-VR, has been introduced and the solution of a problem encountered in this model has been discussed. MEB-VR has been developed especially for applied and laboratory courses. The problem of determining the best headsets to be used in the model, in which the VR-based education approach is adopted, has been tried to be solved in this study. For this purpose, integrated Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted-Aggregated Sum Product Assessment (WASPAS) methods were used to weight the selection criteria and to determine the best headset, respectively.

Droplet routing is very important phase in biochemical synthesis using digital microfluidic biochip. The goal is to transport droplet from one module to other maintaining fluidic constraint at every instant of time. In this paper we proposed a new droplet routing based on MMSPED routing protocol. It use multiple copies of route request packets to explore and discover the routes. To validate these routes, hello packets are used. The routes are then classified and sorted based on a user defined heuristics. Finally, route compaction is performed to generate the parallel moving sequence. Simulation result shows 12.25% and 20.5% improvement in latest arrival time for free and virtual topology respectively.

Investigation of algebraic operations for any type of fuzzy set is an important research area in the fuzzy set theory, as algebraic operations are useful tools for defining aggregation operators in multi-criteria decision making. In this study, we define the addition and the multiplication of circular intuitionistic fuzzy values. Moreover, we investigate in which circumstances with respect to t-norms and t-conorms the inverse operations, subtraction and division, of circular intuitionistic fuzzy values exist. Using the addition and multiplication we propose weighted arithmetic and weighted geometric aggregation operators. With the help of these aggregation operators and the subtraction and the division we provide an extended Evaluation Based on Distance from Average Solution (EDAS) method in the circular intuitionistic fuzzy environment. Then we apply the proposed extended EDAS method to a multi-criteria decision making problem from the literature and compare the results.

The number of plant species on the planet is enormous. As a result, manually identifying and classifying all of the species with high accuracy is unfeasible. Plant species may be similar to each other with small amount of discrepancy as a result, separating and classifying them will take a lengthy time. As a result, an automated approach for classifying plant species is needed. Botanists could benefit from an automated approach for identifying plant species. In the biological domains, deep learning has been widely used for classification and recognition tasks. Deep learning is used to extract features from photos since it delivers more information. Pre-processing, feature extraction, and classification are all steps in plant species identification. The goal of this article is to better understand pre-processing, extract leaf features using contours, and classify them using deep-learning approaches, such as CNN ( Pre-trained AlexNet , Fine-tuned AlexNet , DLeaf ,proposed modified DLeaf). Vein features are retrieved and presented using CNN models to recognise and classify distinct plant types In this case, the classifier had the best accuracy score of 82.87 percent.

Internet of Medical Things (IoMT) and Blockchain technology is used for security in healthcare. This combination provides decentralized security management of the IoMT systems. In the study researching Medline, PubMed articles and related good practices with blockchain use in medicine were analysed comparatively. IoMT framework was determined as Patient Layer, Medical Device Layer, Application Layer, and Network Layer. It was seen that blockchain and IoT stack can be structured as IoT devices, connection, blockchain platforms and distributed applications to a decentralized and interoperable secure system. The blockchain and IoMT platform can have use cases framework that built for solving current problems, adding value to stakeholders and make live deployment. In this study, a framework consists of Medical Data Exchange and Interoperability, Claims Adjudication and Billing Management, Provenance and Integrity of Drug, Health Research, Clinical Trials and Security of IoMT and Blockchain and compliance has been proposed. With this framework, it is not required to encrypt end-to-end communication and protection can ultimately be performed using Blockchain with IoMT.

A diffusion-wave equation with multi-term Hilfer fractional derivatives in time and ultra-hyperbolic (UH) operator in space has been considered. Fundamental solution of the fractional diffusion-wave equation is obtained by using Laplace and Fourier transform with Mellin-Barnes integral representation. The solution obtained involved the Fox H-function. In addition, we provide some special cases of diffusion wave equation.