Some developmental projects are created by people-private partnerships (PPP), particularly where recovery is acquirable by levying the users. Such PPPs are successful for construction of roads, bridges, running toilet facilities and conveyance facility in mode of use and pay. Likewise, public-scientist partnerships (PSPs) will be successful, where monitored impacts can be used to derive benefit. But such example cases are not so popular in utilizing new research results and derive benefits from natural resources and enhance productivity. There is a demand for similar partnership projects in research area. In this study modality of the PSP to create boost engine for natural resource conservation and bring economic prosperity is established. A novel PSP launch was synthesized on useful food crop viz. finger millet (Elusiane corcona (l)), which has been known since long past, and now is regaining popularity. It was possible to enhance additional annual production of 5.755 million tonnes of finger millet grain, equivalent to additional income of Rs 11,510 crores. Against this the scientist partnership share was 0.49x million tonnes grain and economic equivalency of Rs 992 crores, which was just 7–8%, with same level of input in agriculture. Additional benefits were sustainability of production and resources consecration, reduction of greenhouse gas emission (GHGs), particularly nitrous oxide (N₂O), largely emanating from agriculture and responsible for depletion of ozone layer. The finger millet stiff stem will be useable for production of ply-board filling material that will be innovative building material for housing and infrastructure developments and making furniture.

The rapid increase in the aging population has raised significant concerns about the living conditions and well-being of elderly residents in old communities. This study addresses these concerns by proposing a Sustainable Urban Renovation Assessment Model (SURAM) specifically designed to enhance elderly-friendly environments in Chongqing City. The model encompasses multiple dimensions, including the comfort of public facilities, service safety and convenience, medical travel services, infrastructure security, life service convenience, neighbor relations, ambulance aid accessibility, commercial service facilities, privacy protection, elderly care facilities and service supply, and medical and health facilities. By employing factor analysis, the study reduces the dimensionality of the 49 indicator factors, allowing for a more focused and comprehensive evaluation of the effectiveness of aging-friendly renovation efforts. The main factors identified in the proposed model include community infrastructure security, elderly comfort of community public facilities, completeness and convenience of surrounding living services, and security and convenience of elderly care services. The results reveal that the age-appropriate comfort of public facilities plays a significant role in achieving successful aging-appropriate renovation outcomes. The findings demonstrate that by addressing specific needs such as safety, accessibility, and convenience, communities can significantly improve the quality of life for elderly residents. Moreover, the application of SURAM provides actionable insights for policymakers, urban planners, and community stakeholders, guiding them in implementing targeted initiatives for sustainable and inclusive urban development.

One of Indonesia’s main characteristics of tourism development is maritime tourism, which is synonymous with archipelagic countries. The diversity of maritime tourism offered by Indonesia will never end, so it needs to be considered more carefully and used relevantly to create sustainable tourism in Indonesia that provides broad benefits for the country. Many maritime tourism locations in Indonesia are beautiful but require more active promotion. The level of security and terrorism issues are a requirement that the government must consider. The novelty of this research describes the potential ecotourism development in the town of Makassar that stakeholders should consider in the formation of tourism policy. The research locations are in Makassar City, Samalona Island, Langkai Island, and Lanjukang Island. Ecotourism developed in the coastal areas of Makassar City, especially in Samalona, Lanjukang, and Langkai Islands, produces superior objects that collaborate elements of nature and society as the main attraction in the long term. Therefore, local governments need to strengthen monitoring of regional geopolitical developments in order to avoid security and terrorism problems that might cause inconvenience to tourists.

With the rapid development of society and the advent of the information age, counselors in higher vocational colleges and universities are facing the double test of burnout and network security. Burnout affects counselors’ work efficacy and psychological health, while cybersecurity poses certain hazards to counselors’ occupational safety. Based on the social ecology perspective, this paper explores the measurement of burnout and puts forward corresponding countermeasure suggestions, with a view to improving the work efficiency and occupational safety of counselors in higher vocational colleges and universities, and providing useful references for the construction and management of counselor teams in higher vocational colleges and universities. This paper takes the job burnout status and network security structure of vocational college counselors as the research object, and explores its causes. Corresponding countermeasures have been proposed. This article selects 100 counselors from a vocational college in X city as the research objects. The latest version of China’s job burnout scale, Maslach Burnout Inventory-General Survey (MBI-GS), was used to study it. The experimental results showed that in the dimension of emotional exhaustion, 55% of the subjects were mild. 40% were moderate and 5% were severe. In terms of cynicism, 65% were mild. 30% were moderate and 5% were moderate. On the “low achievement” dimension, the participants were “slightly” rated at 10%. “Moderate” was 75% and “Severe” was 15%. Across the three dimensions, the results showed that job burnout was widespread among vocational college counselors.

A smart city focuses on enhancing and interconnecting facilities and services through digital technology to offer convenient services for both people and businesses. The basic infrastructure of smart cities consists of modern technologies such as the Internet of Things (IoT), cloud computing and artificial intelligence. These urban areas utilize different networks, such as the Internet and IoT, to share real-time information, improving convenience for the inhabitants. However, the reliance of smart cities on modern technologies exposes them to a range of organized, diverse, and sophisticated cyber threats. Therefore, prioritizing cybersecurity awareness and implementing appropriate measures and solutions are essential to protect the privacy and security of citizens. This study aims to identify cyber threats and their impact on smart cities, as well as the methods and measures required for key areas such as smart government, smart healthcare, smart mobility, smart environment, smart economy, smart living, and smart people. Furthermore, this study seeks to evaluate previous research in this field, establish necessary policies to mitigate these threats, and propose an appropriate model for the infrastructure associated with IT networks in smart cities.

The proposed research work encompasses implications for infrastructure particularly the cybersecurity as an essential in soft infrastructure, and policy making particularly on secure access management of infrastructure governance. In this study, we introduce a novel parameter focusing on the timestamp duration of password entry, enhancing the algorithm titled EPSBalgorithmv01 with seven parameters. The proposed parameter incorporates an analysis of the historical time spent by users entering their passwords, employing ARIMA for processing. To assess the efficacy of the updated algorithm, we developed a simulator and employed a multi-experimental approach. The evaluation utilized a test dataset comprising 617 authentic records from 111 individuals within a selected company spanning from 2017 to 2022. Our findings reveal significant advancements in EPSBalgorithmv01 compared to its predecessor namely EPSBalgorithmv00. While EPSBalgorithmv00 struggled with a recognition rate of 28.00% and a precision of 71.171, EPSBalgorithmv01 exhibited a recognition rate of 17% with a precision of 82.882%. Despite a decrease in recognition rate, EPSBalgorithmv01 demonstrates a notable improvement of approximately 14% over EPSBalgorithmv00.