The work is devoted to the numerical solution of the initial boundary value problem for the heat equation with a fractional Riesz derivative. Explicit and implicit difference schemes are constructed that approximate the boundary value problem for the heat equation with a fractional Riesz derivative with respect to the coordinate. In the case of an explicit difference scheme, a condition is obtained for the time step at which the difference scheme converges. For an implicit difference scheme, a theorem on unconditional convergence is proved. An example of a numerical calculation using an implicit difference scheme is given. It has been established that when passing to a fractional derivative, the process of heat propagation slows down.

Black Death is a virosis caused by the Tomato Spotted Wilt Virus (TSWV), transmitted by thrips, and represents a complex problem since weed hosts for thrips vectors and the virus is accentuated as virus reservoir and vector sustenance. The objective was to generate, from a list of weeds that act as hosts for the four vector thrips species in the horticultural belt of La Plata, a relative risk categorization as an epidemiological component. Between 2000 and 2003, three sites were selected within the horticultural belt of La Plata (Buenos Aires, Argentina) where flowers of 21 weed hosts of Frankliniella occidentalis, Frankliniella schultzei, Frankliniella gemina and Thrips tabaci were sampled monthly (60 in total). For analysis, the sampling results were grouped into three annual seasons, corresponding to the phenology of greenhouse crops in the region. For the four thrips vectors, the abundance of adult thrips and the presence of their larvae were considered using an unsupervised hierarchical cluster analysis and the DGC multivariate mean comparison test to obtain the number of significant groups. From this base grouping, three risk groups (RG) were defined as a source of inoculum for these vectors: high (H), medium (M) and low (L) according to the status of the reproductive host (RH). The groups that emerged were: (H): RH of F occidentalis, (M): RH of F. schultzei and T. tabaci, and (L): RH of F. gemina or non-vector thrips. Periodic survey and early flowering suppression of nine weed species categorized as high risk is proposed. This implies the continuous monitoring of three weed species, to which other companion weeds are added according to the growing season.

This study investigates how financial cognitive abilities influence individual investors’ intentions to engage in the stock market, particularly considering the mediating role of financial capability. It seeks to address the gaps in understanding the factors that drive investors’ participation in emerging markets like Pakistan, highlighting the importance of financial knowledge, financial planning, and financial satisfaction and financial capability. Data were collected from 377 individual investors through a self-administered questionnaire using a cross-sectional design and non-probability convenience sampling approach. Results reveal that financial knowledge affects investors’ intentions both directly and indirectly, with financial capability serving as a partial mediator. Financial planning influences intentions indirectly through complete mediation, while financial satisfaction affects intentions in both direct and indirect ways, with partial mediation. The study provides valuable insights for the researchers, individual investors, governmental officials, policymakers, and stock market regulators in context of emerging economies like Pakistan, highlighting key determinants of stock market participation.

The financial inclusion program in Asia has begun to be carried out intensively, focusing on increasing public access, especially for people who have yet to enjoy banking services. This makes financial inclusion one of the development focuses in the financial sector in various countries, especially in the Asian region. This study compares the financial inclusion level and socioeconomic variables’ influence on financial inclusion in Asian countries in 2010–2022. To compare the level of financial inclusion in several Asian countries, the Index of Financial Inclusion (IFI) analysis method was used, while to examine the relationship between socioeconomic variables on financial inclusion, the Ordinary Least Square (OLS) method was used with an estimation technique, in the Fixed Effects Model approach. The results of this study indicate that, in general, financial inclusion in several Asian countries is mainly influenced by the usability dimension. In addition, only the variable GDP per capita is partially influential. While other variables, namely, the unemployment rate and population in rural areas, significantly influence the financial inclusion index.

The major goal of decisions made by a business organization is to enhance business performance. These days, owners, managers and other stakeholders are seeking for opportunities of modelling and automating decisions by analysing the most recent data with the help of artificial intelligence (AI). This study outlines a simple theoretical model framework using internal and external information on current and potential clients and performing calculations followed by immediate updating of contracting probabilities after each sales attempt. This can help increase sales efficiency, revenues, and profits in an easily programmable way and serve as a basis for focusing on the most promising deals customising personal offers of best-selling products for each potential client. The search for new customers is supported by the continuous and systematic collection and analysis of external and internal statistical data, organising them into a unified database, and using a decision support model based on it. As an illustration, the paper presents a fictitious model setup and simulations for an insurance company considering different regions, age groups and genders of clients when analysing probabilities of contracting, average sales and profits per contract. The elements of the model, however, can be generalised or adjusted to any sector. Results show that dynamic targeting strategies based on model calculations and most current information outperform static or non-targeted actions. The process from data to decision-making to improve business performance and the decision itself can be easily algorithmised. The feedback of the results into the model carries the potential for automated self-learning and self-correction. The proposed framework can serve as a basis for a self-sustaining artificial business intelligence system.

Crowd humanitarian fund, otherwise termed as mutual fund, has overwhelmingly been discussed by many scholars and researchers in western countries. There is obscurity in existing literature in Islamic countries with respect to the interconnectedness between various Islamic financial concepts within the Islamic legal framework and the conceptualization of crowd humanitarian funds. The primary objective of this paper is to address this obscurity by investigating the perspectives of middle- and high-skilled workers among members of the Organization of Islamic Cooperation (OIC) with respect to the crowd humanitarian fund. Hence, the central research question (CRQ) was formulated as follows: How do the middle and high-skilled workers perceive the generation of crowd-humanitarian funds for the purpose of helping the less privileged citizens in Organization of Islamic Cooperation (OIC) countries? The qualitative method was used as the methodology of the study. In order to collect data for the study, an open-ended interview was employed, and a total of 22 participants were interviewed. Three major themes were generated from the interview, namely: An overview of crowd humanitarian funds, categories of less privileged people in OIC countries, and the use of humanitarian funds for poverty reduction. The findings indicated that the traditional method of collecting funds from crowds is to assist with any humanitarian issue is still applicable in many Muslim countries. In addition, the unity in contributing to the humanitarian fund from the crowd, that is, common practice in Muslims’ culture is what Western society terms as crowdfunding. It is further revealed that there are different categories of people, such as the poor, the needy, and people with low incomes, who can benefit from crowdfunding, especially by using it for investment purposes. In addition, crowdfunding is considered an essential monetary relief to less fortunate individuals or communities in order to have a sustainable life. It can also be used for provision of social amenities such as food, shelters, clothes, hospitals, schools, and job opportunities.