The purpose of this paper is to review and evaluate published literature on the impact of climate change on the reproductive biology and population dynamics of fishes. A systematic method was utilized to access published literature on “Impacts of Climate Change on fishes and fisheries”. A total of fifty-two (52) research papers published between the years 1973 to 2024 were accumulated and used for this review. A subjective approach was used to select the topics: impact of climate change and fishes and fisheries. The physical and biological impacts of climate change on fisheries were evaluated. In addition, the role of fisheries in food security to combat the global hunger index of human beings was assessed in this review paper. Strategies to be implemented by fisheries to mitigate the effect of climate change was also presented in this review. The literature accessed revealed that fish is an important resource to the economies of many countries and a source of natural protein. As the average per capita food supply from fish and fisheries products continue to rise in developing nations, it is falling in underdeveloped nations. The published works of literature established that the global fisheries and fish population dynamics, reproductive biology, abundance and distribution are all affected by climate change. This review highlights the fact that more extensive studies on the impact of climate change on fishes and fisheries should be done in neotropical countries since there are gaps of such information on research and published data in these biodiversity rich regions.

Mobile banking is a technology advancement that enables convenient, anytime, anywhere access to financial services. When using mobile banking, customers can access banking services via their phones without having to wait in line. It is a branchless kind of banking. The purpose of the study was to identify the prospects and challenges facing Bangladeshi mobile banking in the twenty-first century. Over 80 respondents were selected using Yaro Yamani formula from a sample of bank clients and bankers and given a standardized questionnaire. The study's goal has been perceived through the application of the descriptive research approach. Based on the study's findings, people's interest in mobile banking is growing daily due to its advantages. Certain banks do not presently offer all mobile banking services, and not all respondents are aware of all the mobile banking options available. Fast data transfer and cost-effective usage are two factors that entice customers. Some of the disadvantages of mobile banking are that it is very expensive, private, complex, etc. Lowering operational risks and increasing consumer confidence in Bangladesh's mobile banking services can be achieved through robust technical information control and security procedures that ensure the integrity and confidentiality of financial transactions.

Modernization of agricultural practices is essential to overcome challenges such as decreasing agricultural labor and decreasing agricultural land in Indonesia. This research examines the development and performance of a hand tractor that is controlled remotely via an Android-based system using the NodeMCU ESP8266 module and a WiFi network. This study focuses on the technical and operational performance of hand tractors in wetlands. Modifications were made to the tractor, by installing three DC motors to control the clutch and gas levers. Tests were carried out on the control system accuracy and response time to assess the system's suitability for field operations. The research results show that the Android system has 100% accuracy in executing all commands given, but the response time decreases as the distance between the Android device and the WiFi module increases, with an average delay reaching 6,8 seconds for a maximum 100 m distance. Field efficiency testing shows that a tractor with Android control has a work efficiency of 70.48% in the plowing process and 75.33% in the harrowing process, lower than with manual control which reaches an efficiency of more than 95%. Despite response delays and reduced efficiency, the system is an important step toward agricultural mechanization, especially in labor-intensive wetlands.

The evolution of drilling operations in the oil and gas industry has highlighted the need for more efficient and adaptive management of drilling fluids, particularly in complex well environments. This paper presents a comprehensive review of hydraulic modeling and real-time optimization of drilling fluids, focusing on future perspectives and industry implications. Hydraulic modeling plays a crucial role in predicting pressure, fluid flow, and wellbore stability, while real-time optimization, powered by advanced sensors, AI, and machine learning, enables dynamic fluid management. The integration of these technologies allows for continuous monitoring and adjustment of fluid properties, improving efficiency, reducing downtime, and preventing formation damage. Future technological advancements, including digital twins and enhanced downhole sensors, are expected to improve well performance and cost-efficiency further. Strategic recommendations for industry adoption include investment in advanced technologies and further research into hydraulic modeling and real-time optimization for complex wells.

This research explores the integration of Artificial Intelligence (AI) in testing automation, focusing on its ability to enhance test coverage and enable predictive analysis for improved software quality. As software systems become increasingly complex, traditional testing methods often struggle to meet quality demands. This study evaluates various AI techniques, including machine learning and natural language processing, and their applications in generating test cases, optimizing testing processes, and predicting defects. Through empirical case studies from diverse organizations, we demonstrate significant improvements in test coverage and defect detection rates following AI implementation. The findings highlight the efficiency gains and quality enhancements achieved through AI-driven testing, while also addressing challenges such as data dependency, complexity of implementation, and the need for skilled personnel. This research contributes to the understanding of AI's role in software testing and encourages organizations to adopt these technologies for better quality assurance and faster development cycles.

This paper aims to review and evaluate published literature on the impact of anthropogenic sound on marine mammals. A systematic method was utilized to access research works of literature on “Impact of Anthropogenic Sound on Marine Mammals”. A total of seventy-seven (77) research papers published between the years 1959 to 2022 were accumulated and used for this review. A subjective approach was used to select the topics: impact of anthropogenic sound and marine mammals. In this paper, six (6) detrimental impacts of anthropogenic sound on marine mammals were evaluated and presented. Anthropogenic sounds originate from a variety of sources such as explosions, commercial shipping, seismic exploration, sonar, research sound source, acoustic deterrent devices and pingers, polar icebreakers, industrial activities, offshore drilling, construction, small ships, boats, and personal watercraft. Among the main impacts identified were that anthropogenic sounds affect marine mammals by causing hearing loss, masking, change in behavior, habituation shift and mass stranding. A mini checklist of several species of marine mammals and different types of anthropogenic noise that affect them are presented. Marine mammals are capable of self-generating their own sounds and they are also affected by anthropogenic sounds that are not native to their natural environments. The published literature that was reviewed established that the global marine mammal population dynamics, abundance, distribution, navigation, ecology and behavior are all affected by anthropogenic sounds. This review highlights the fact that more extensive studies on the impact of anthropogenic sound on marine mammals should be done in neotropical countries since there are gaps of such information on research and published data in these biodiversity-rich regions.

The rise of remote work, accelerated by global disruptions and technological advancements, has fundamentally reshaped traditional human resource management (HRM) practices. This study investigates the key challenges that organizations face in managing a remote workforce, including maintaining employee engagement, ensuring effective communication, managing productivity, and addressing mental health concerns. Additionally, the research explores the role of technology in overcoming these challenges, highlighting solutions such as virtual collaboration tools, flexible work policies, and performance monitoring systems. Through an analysis of current HR practices in organizations that have successfully adapted to remote work, this paper identifies best practices and strategic adjustments necessary for HR managers to support a distributed workforce. The findings suggest that while remote work offers flexibility and operational efficiency, it also requires a shift in HR strategies toward building a cohesive virtual work culture, offering ongoing training, and ensuring employee well-being. This research contributes to the understanding of how HRM can evolve to meet the demands of the remote work environment, providing actionable insights for organizations navigating this new paradigm.

Background of the study: Alcoholism is one of the major health and social problems all over the world. Alcoholism is a significant problem in India. There is a vast body of literature in India and in the West devoted to understanding the marital dynamics involved in alcoholism and ascertaining the deleterious impact that alcoholism could have on the personality and function of spouse. Aim : Assess the levels of Stress, Domestic violence and coping strategies among the wives of patients with alcoholic dependence.. Methodology: A descriptive survey design is used to assess level of stress, domestic violence and coping strategies among wives of patients with alcohol dependence admitted at DIMHANS, DHARWAD. Non-probability purposive sampling technique was adopted for data collection from 100 wives of alcoholics admitted in wards of the DIMHANS. Results : Data was analyzed by using descriptive and inferential statistics, majority of the participants had moderate level of stress(61%).Assessment of the overall level of domestic violence revealed that 54% wives of alcoholics had average domestic violence. Assessment of the overall level of coping strategies revealed that 63% wives of alcoholics had average coping. There was a partial association between the level of stress, domestic violence and coping strategies of the wives of patients with alcohol dependence with demographic variable only religion (χ2=6.9170, p=02), had significant relationship with level of stress. The result found non-significant negative correlation(r= -0.1810 p= 0.0720) was observed between stress and domestic violence scores and non significant positive correlation(r=0.0793 p=0.4330) was observed between stress and coping strategies scores. But significant and negative correlation (r= -0.2407 p=0.0160*) (*p<0.05) was observed between domestic violence and coping strategies scores. It means that domestic violence and coping strategies scores are dependent on each other. Conclusion: Research needs to focus on the impact of stress, domestic violence and coping on health, a nurse plays a pivotal role both in hospital and community setting in improving the health of the Individual. Innovative approaches in this field have to be initiated in nursing.

This review paper explores the pivotal role of telecommunications in enabling Internet of Things (IoT) connectivity and applications, providing a comprehensive overview of the current landscape and future prospects. The primary objective is to synthesize existing research and industry insights to highlight how advancements in telecommunications infrastructure and technology have catalyzed the adoption and expansion of IoT. The review systematically examines the evolution of telecommunications technologies, including 4G, 5G, and emerging network protocols such as Narrowband IoT (NB-IoT) and Long-Term Evolution for Machines (LTE-M). It assesses how these technologies enhance IoT connectivity by providing the necessary bandwidth, low latency, and reliability for real-time data exchange and device interoperability. Key findings from the literature reveal that the deployment of 5G networks has been a game-changer for IoT, offering unprecedented speeds and connectivity capabilities that support a wide range of applications in smart cities, healthcare, agriculture, and industrial automation. Additionally, the paper discusses the role of telecommunications in addressing challenges related to security, scalability, and energy efficiency in IoT deployments. The review concludes that telecommunications are integral to the growth and sustainability of IoT ecosystems. As telecommunications technology continues to advance, its ability to support increasingly complex and ubiquitous IoT applications will drive innovation and enhance efficiency across various sectors. The paper emphasizes the necessity for ongoing investment in telecommunications infrastructure and research to fully exploit the transformative potential of IoT connectivity and applications.

Safety and adverse events (AEs) monitoring in clinical trials are critical to ensuring participant safety and the successful development of new therapies. Effective monitoring not only protects patients but also helps identify any risks associated with the investigational product. This paper elaborates on the methodologies used to detect, categorize, and report adverse events during clinical trials, and how these processes are governed by stringent regulatory frameworks. Additionally, the discussion highlights the role of pharmacovigilance systems, the ethical obligations researchers face in AE reporting, and the technological innovations that are transforming safety monitoring. Challenges, including under-reporting, data variability, and interpretation difficulties, are examined in depth. Ultimately, advancements in real-time data collection, adaptive trial designs, and artificial intelligence (AI) are promising to improve the accuracy and timeliness of adverse event monitoring, shaping the future of clinical research and patient safety.