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.

This research can help improve public health and ensure the sustainable transformation of the food system. This study aims to analyze the success of Regional Food Security development activities through Community Empowerment with the food independent village program carried out by regional command units in the ranks of Korem 063/SGJ (Sunan Gunung Jati). This study uses qualitative descriptive with comparative methods. Population includes villages that have received the food independent village program in West Java (Kuningan, Cirebon, Majalengka, and Cirebon City) between 2009 and 2022. The research sample consisted of 4 villages selected from each of the districts/cities. The research informants totalled 37 people, consisting of stakeholders from the Korem 063/Sunan Gunung Jati Unit and its staff, the Food Security Service, village heads, affinity groups or farmers, and community leaders in the research area. The results of the study indicate that the success and failure in the implementation of the food independent village program by affinity groups and the food security development activity program by Satkowil have an effect on food availability, food distribution and food consumption. This research is expected to provide a comprehensive overview of the implementation of the food independent village program and food security development activities by regional command units in West Java.

Branched micro/nano Se was prepared by the redaction of L-Cys•HCl and H₂SeO₃ in hydrothermal method, as β-CD was used as soft template. The structures of products were characterized by SEM, TEM and XRD. Some important factors influencing the morphology of products were studied and discussed, including the amounts of soft template, the reaction temperature and the reaction time. The results showed that external causes had a potent effect on the morphology of micro/nano Se. The uniform branched micro/nano Se prepared under the optimal reaction condition was rhombohedral trigonal selenium t-Se⁰, but its crystallinity degree was low.

A serious problem in the workplace is incivility, which impacts especially vulnerable groups like single mothers who hold jobs and experience subtle unfair or damaging treatment. As the number of single working mothers continues to rise in today’s workforce, this study aims to clarify third-party perceptions about incivility against them at work and subsequent influences on individuals as well as the organization. Because the analysis is embedded in theories of social role expectations and organizational justice, it explores third-party observers’ perceptions (such as coworkers or supervisors) of whether incivility directed at single working mothers differs from that experienced by their comparison group—professionally equivalent peers who do not share equal caregiver responsibilities. The researchers employed a mixed-methods approach, incorporating both quantitative surveys and in-depth qualitative interviews to collect rich data from participants who represented several fields. They report their results that third-party observers are less likely to experience vicarious justification of incivility against single working mothers but may be equally unlikely or even more reluctant than in the case of other employees and furthermore find this data account for these differences. The results illustrate the intricate interplay of gender, family structure and work dynamics on workplace outcomes—all leading to lower job satisfaction rates, a high level of stress or even stagnation in career progression for single working mothers. Our findings also extend the workplace incivility literature by demonstrating ways in which single working mothers are particularly vulnerable to this form of mistreatment and a broader need for organizational policies that cultivate an inclusive, supportive environment. Implications for human resource management, organizational culture and policy based on these findings are discussed as it may provide some recommendations for handling incivility in the workplace environment.

The artificial intelligence (AI)-based architect's profile's selection (simply iSelection) uses a polymathic mathematical model and AI-subdomains' integration for enabling automated and optimized human resources (HR) processes and activities. HR-related processes and activities in the selection, support, problem-solving, and just-in-time evaluation of a transformation manager's or key team members' polymathic profile (TPProfile). Where a TPProfile can be a classical business manager, transformation manager, project manager, or an enterprise architect. iSelection-related selection processes use many types of artifacts, like critical success factors (CSF), AI-subdomain' integration environments, and an enterprise-wide decision-making system (DMS). iSelection focuses on TPProfiles for various kinds of transformation projects, like the case of the transformation of enterprises' HRs (EHR) processes, activities, and related fields, like enterprise resources planning (ERP) environments, financial systems, human factors (HF) evolution, and AI-subdomains. The iSelection tries to offer a well-defined (or specific) TPProfile, which includes HF's original-authentic capabilities, education, affinities, and possible polymathical characteristics. Such a profile can also be influenced by educational or training curriculum (ETC), which also takes into account transformation projects’ acquired experiences. Knowing that selected TPProfiles are supported by an internal (or external) transformation framework (TF), which can support standard transformation activities, and solving various types of iSelection’s problems. Enterprise transformation projects (simply projects) face extremely high failure rates (XHFR) of about 95%, which makes EHR selection processes very complex.

Due to its physicochemical properties, nanoparticles titanium dioxide (nTiO₂) is being put into mass production and widespread applications, which inevitably results in their increasing exposure to the water body. After it entering the water body, the chemical properties of nTiO₂ can be influenced by ion compositions, ion strength and pH, which affects their ecological risk. Excess of ammonium (NH₄⁺) fertilizer has contaminated soil and water environments. In this paper, the Zeta potentials and hydrodynamic radius of nTiO₂ were studied in NH₄⁺ solution compared to those in Na⁺ solution. In addition, the sedimentation rate of nTiO₂ was also investigated. The experiment results show that high pH inhibits the sedimentation of nTiO₂. Moreover, NH₄⁺ increases the stability of nTiO₂ more than Na⁺ at the same IS, which was attributed the more negative Zeta potentials and the smaller hydraulic radius. Our results provide a theoretical basis for evaluating the ecological risk of nTiO₂ in aqueous solution containing NH₄⁺.