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.

Bangladesh’s coastal regions are rich in saline water resources. The majority of these resources are still not being used to their full potential. In the southern Bangladeshi region of Patuakhali, research was conducted to investigate the effects of mulching and drip irrigation on tomato yield, quality, and blossom-end rot (BER) at different soil salinity thresholds. There were four distinct treatments applied: T₁= drip irrigation with polythene mulch, T₂ = drip irrigation with straw mulch, T₃ = drip irrigation without mulch, and T₄ = standard procedure. While soil salinity was much greater in treatment T₃ (1.19–8.42 dS/m) fallowed by T₄ (1.23–8.63 dS/m), T1 treatments had the lowest level of salinity and the highest moisture retention during every development stage of the crops, ranging from 1.28–4.29 dS/m. Treatment T₃ exhibited the highest soil salinity levels (ranging from 1.19 to 8.42 dS/m), followed by T₄ with a range of 1.23 to 8.63 dS/m. In contrast, T₁ treatments consistently maintained the lowest salinity levels (ranging from 1.28 to 4.29 dS/m) and the highest moisture retention throughout all stages of crop development. In terms of yield, drip irrigation with no mulch treatment (T₃) provided the lowest output (13.37 t/ha), whereas polyethylene mulching treatment (T₁) produced the maximum yield (46.04 t/ha). According to the study, conserving moisture in tomato fields and reducing soil salinity may both be achieved with drip irrigation combined with polythene mulch. The research suggests that employing drip irrigation in conjunction with polythene mulch could effectively preserve moisture in tomato fields and concurrently decrease soil salinity.

This research was conducted with the aim of developing indexes for diagnosis of balanced personnel levels in Korean Public Offices through Analytic Hierachy Process (AHP). The research found that 62.3% of ‘structural improvement’ and 37.7% of ‘inclusive organizational culture’ were weighted in large classification items. In the middle classification items, it was found weights of 27.5% for ‘gender equality’, 23.5% for ‘disabled’, 16.2% for ‘science and engineering’, 17.7% for ‘regional talent’, and 15.2% for ‘social integrated type’. In the small classification items, 9.4% of ‘employment rate of social integrated talent’, 5.3% of ‘the percentage of grade 7 and 9 selection of regional talent’ and 5% of ‘the percentage of women at the head of a department level’ were shown as important evaluation indicators. In addition, the ‘inclusive organizational culture’ was derived by allocating weights of 9.45% each for four areas: fairness, disclosure, cooperation and support. As above, this research constructs items of the balanced personnel index through prior research and designs detailed indexes. However, it is meaningful that surveys and others have confirmed the usefulness of the balanced personnel index, which will contribute to the achievement of balanced personnel objectives in public offices.

Primary school students are in a period of rapid development of thinking. Primary school mathematics is particularly important for the cultivation of students' abstract thinking ability. The section of number and algebra is the most basic and important content in mathematics. This paper takes number and algebra as an example to analyze the abstract thinking ability of primary school mathematics and its training strategies, so as to provide some practical guidance for teaching.

In the highly developed process of "Internet plus", foreign trade transformation and upgrading, cross-border new retail rapid development has become the trend of the times, cross-border e-commerce new retail digitalization, and improving operational efficiency brings new opportunities. Reshaping the structure of new retail formats, the integration of cross-border e-commerce and new retail formats is an inevitable trend. Smart upgrading and digital transformation are important measures to achieve leapfrog development. The format structure presents business models such as "smart retail, digital cross-border e-commerce, new cross-border e-commerce, new retail, and new retail logistics". The main research objective of this project is to explore and research the new retail scenarios of digital applications in cross-border e-commerce. Based on the current development trend of digital cross-border e-commerce and new retail upgrading, as well as the economic characteristics of the Wuyi area in Jiangmen City, this project aims to use the smart new retail scenario of digital cross-border e-commerce as the foothold, with a focus on upgrading and transforming the product flow chain with the "application scenario" as the central point, form a closed-loop loop of free circulation of products, new retail logistics, cross-border e-commerce, new retail, new sales experience scenarios, and consumers.