Credit policies for clean and renewable energy businesses play a crucial role in supporting carbon neutrality efforts to combat climate change. Clustering the credit capacity of these companies to prioritize lending is essential given the limited capital available. Support Vector Machine (SVM) and Artificial Neural Network (ANN) are two robust machine learning algorithms for addressing complex clustering problems. Additionally, hyperparameter selection within these models is effectively enhanced through the support of a robust heuristic optimization algorithm, Particle Swarm Optimization (PSO). To leverage the strength of these advanced machine learning techniques, this paper aims to develop SVM and ANN models, optimized with the PSO, for the clustering problem of green credit capacity in the renewable energy industry. The results show low Mean Square Error (MSE) values for both models, indicating high clustering accuracy. The credit capabilities of wind energy, clean fuel, and biomass pellet companies are illustrated in quadrant charts, providing stakeholders with a clear view to adjust their credit strategies. This helps ensure the efficient operation of banking green credit policies.

This study explores the interactions between inflation and stock market. We carried out a bibliometric analysis with R package to highlight the worldwide research trends in the field, covering the period of three crises (financial, health crisis and war of Ukraine). Next, using monthly data for the period from 1 March 2020 to 31 August 2023 and based on a vector autoregressive model, impulse response and variance decomposition are performed to explore the dynamic relationships between inflation and Greek stock market. The results reveal the existence of high volatility in Athens’ stock market during COVID-19 pandemic, owning to a shock of the inflation. Regarding the period of Ukrainian war, the study verified the Fama’s hypothesis that there is a negative relationship between inflation and stock returns. The findings have significant implications for investors and policy makers.

This paper, with its focus on national legislative regulations that have come into force and governments developed policies designed to clear away numerous problems regarding women’s employment has a threefold contribution to the existing literature. First, it summarizes the salient features of the new legislation and administrative measures adopted by the government of Turkyie, with special reference to Bursa Yıldırım Municipality. Second, we draw attention to the increasing recognition of the valuable potential of females in the workplace. Over recent decades and the implications for the central administration but also the private sector, local administration and voluntary agencies. Third, policy syndromes about livelihoods, and hardship alleviation policies, are examined and policy implications are discussed. This paper does not aim to provide definitive answers, yet intends to scrutinize the data and re-examine the trends in the light of key drivers such as economics, demographics, and urbanization. This was done mainly by reviewing the literature government reports and statistical data but was augmented by our fieldwork. There is an attempt to reach a conclusion about recent developments and make suggestions about countermeasures that could be implemented.

The study, taking China as an example, employs a mixed-method approach of questionnaire surveys and in-depth interviews to explore the differing perspectives of disabled and non-disabled individuals on how to improve the social integration and quality of life of disabled people in developing countries. The study finds that the vicious cycle created by severe accessibility issues in developing countries is the root cause of the disabled’s difficulty in integrating into society. The impersonal barrier-free facilities suppress the desire of the disabled to travel, resulting in fewer disabled people on the streets and less visibility and attention, which leads to poorer accessibility facilities. Secondly, the study also finds that non-disabled people unconsciously show excessive sympathy and compassion when helping the disabled, which affects their self-esteem due to being patronized and helped. This creates two separate “social circles” between the disabled and the healthy. To address these issues, we have designed an application called “AbleMind” where the disabled can share experiences, make friends, seek help, and better integrate into society.

The goal of this study is to examine how external prestige (PEP) affects workplace deviations, which are mediated by job satisfaction. The study’s sample consisted of 310 respondents who work in the hospitality industry in Nigeria, and data was collected using the purposive sampling method. Structural Equation Model (SEM) tests were performed. According to the study’s findings, job satisfaction is positively influenced by PEP, but it has a negative impact on deviant conduct in the workplace. It is clear that job satisfaction plays a detrimental role in mediating the harmful impacts of perceived external status on deviant behavior at work.

Major spices crops such as black pepper (Piper nigrum L.), cardamom (Elettaria cardamomum Maton.) and turmeric (Curcuma longa L.) production in India, is sustained losses due to several reasons. Among them, one of the major constraints are nematode infesting diseases, which causes significant yield losses and affecting their productivity. The major nematode pests infesting these crops include burrowing nematode Radopholus similis; root knot nematode, Meloidogyne incognita and M. javanica on black pepper. Whereas, lesion nematode, Pratylenchus sp., M. incognita and R. similis infesting cardamom and turmeric crops. Black pepper is susceptible to a number of diseases of which slow decline caused by R. similis and M. incognita or Phytophthora capsici either alone and in combination and root knot disease caused by Meloidogyne spp. are the major ones. Root knot disease caused by Meloidogyne spp. is major constraints in the successful cultivation and production in cardamom. Turmeric is susceptible to a number of diseases such as brown rot disease is caused by Fusarium sp. and lesion nematode, Pratylenchus sp. and root knot disease caused by M. incognita. Adoption of integrated pest management schedules is important in these crops since excessive use of pesticides could lead to pesticide residues in the produce affecting human health and also causing other ecological hazards.