Sustainable forest management is vital for addressing climate change, biodiversity loss, and deforestation. Human-induced stresses on forest ecosystems demand innovative approaches to ensure long-term health and productivity. This study explores how cutting-edge technologies, including the Internet of Things (IoT), remote sensing, and artificial intelligence (AI), enhance sustainable forest management practices. Researchers reviewed 196 studies published between 2021 and 2024 from IEEE Xplore Digital Library, MDPI, Taylor & Francis, ScienceDirect, Frontiers, Springer, SAGE, Hindawi, Nature, Wiley Online Library, and Google Scholar. The findings highlight IoT devices like drones, enabling real-time data collection on temperature, humidity, soil moisture, and tree growth, facilitating continuous forest monitoring. Remote sensing technologies, utilizing satellite imagery and aerial surveys, deliver high-resolution data for large-scale forest assessments, including forest cover changes, biomass estimation, and early detection of illegal logging. When integrated with AI, these tools enhance predictive modeling, data analysis, and decision-making, leading to more effective forest management strategies. The study also identifies challenges such as data security concerns, bandwidth limitations, interoperability issues, and high costs. Despite these barriers, IoT, remote sensing, and AI present transformative potential for improving forest resilience, carbon sequestration, and biodiversity conservation. These technologies are crucial in preserving forest ecosystems and mitigating climate change impacts by advancing real-time monitoring, optimizing resource allocation, and enabling data-driven decisions.

Wireless sensor networks and Internet of Things devices are revolutionizing the smart agriculture industry by increasing production, sustainability, and profitability as connectivity becomes increasingly ubiquitous. However, the industry has become a popular target for cyberattacks. This survey investigates the role of artificial intelligence (AI) in improving cybersecurity in smart agriculture (SA). The relevant literature for the study was gathered from Nature, Wiley Online Library, MDPI, ScienceDirect, Frontiers, IEEE Xplore Digital Library, IGI Global, Springer, Taylor & Francis, and Google Scholar. Of the 320 publications that fit the search criteria, 180 research papers were ultimately chosen for this investigation. The review described advancements from conventional agriculture to modern SA, including architecture and emerging technology. It digs into SA’s numerous uses, emphasizing its potential to transform farming efficiency, production, and sustainability. The growing reliance on SA introduces new cyber threats that endanger its integrity and dependability and provide a complete analysis of their possible consequences. Still, the research examined the essential role of AI in combating these threats, focusing on its applications in threat identification, risk management, and real-time response mechanisms. The survey also discusses ethical concerns such as data privacy, the requirement for high-quality information, and the complexities of AI implementation in SA. This study, therefore, intends to provide researchers and practitioners with insights into AI’s capabilities and future directions in the security of smart agricultural infrastructures. This study hopes to assist researchers, policymakers, and practitioners in harnessing AI for robust cybersecurity in SA, assuring a safe and sustainable agricultural future by comprehensively evaluating the existing environment and future trends.

A literature review of proposed associations and correlations of job stress, job satisfaction, and burn out in public health sector. Evidence of occupational hazards job risks that are encountered by Greek public health workforce, limited global literature. Connection of occupational job stress, job satisfaction, and burn out health and safety with public health and hygiene. Provided evidence of the exact risks that are perceived in public health sector in Greece. Comprehensive relative to possible occupational hazards of public health organization and services, with established and new evidence include organizational job risks. During the COVID-19 pandemic, global financial crisis, job insecurity, decreased salaries, and social instability where working conditions changed, risk factors were affected, risk increased, and interpersonal working relationships had a particular impact under the period of the pandemic, especially for health professionals who were in the frontline. This study can bear a significant impact and with the help of various reviews we give the global associations and correlations of job stress, job satisfaction, and burn out in public health sector. A systematic review conducted on the recent period for the last decade published papers along in Scopus, Web of Science, Direct Science, and journals. There are very few papers are published based on the very contemporary title considered for the article hence this study identified several articles in the scientific literature, but only few articles were classified as eligible according to the previously established criteria.

Public Health care organizations are the most important social systems in which human resources are the wealth and central factor. This study is a literature review on job satisfaction in the public health care sector, giving tools to prevent with measures scales and information's in theoretical background. Evidence of job satisfaction in the public health care sector is encountered by Greek and Global public health organizations and services. Limited literature in connection and contribution of occupational health and safety with Job Satisfaction in the frame of policy and management. Public health care professionals and Administration managers in the healthcare services need to understand the benefits of adopting effective Job satisfaction. The aim of this research was to identify also analyze the knowledge of job satisfaction in the Public Health Care Sector, Measures Scales necessary to identify and knowledge objective to positively affect Public health professionals’ job satisfaction and therefore health care sector quality services. Information’s and knowledge produced an understanding of the mechanisms that increase job satisfaction and contribute to the improvement of psychosocial risks, and well-being to take appropriate measures and scales to create a Healthy and Hygiene working environment. Affects direct in health economics as well as organizational productivity, and quality of performance. A systematic review was conducted for the last two-year in Scopus, Web of Science, Science Direct, and Scientific Journals. There are very few papers published based on the very contemporary title considered for the article, classified as eligible according to the previously established criteria.