Steroid and painkiller abuse induced peptic ulcer disease, which causes abdominal pain, fullness, heartburn, and nausea. Medicinal plants have treated ulcers for centuries. We used Piper attenuatum ethanolic plant extracts for aspirin to induce ulcers in Wistar rats to test the leaf ethanolic extract's antiulcer properties. The control group is normal saline, the standard group is ranitidine (20 mg/kg), and the extract-treated groups are 100 mg/kg and 200 mg/kg ethanolic plant extracts. Ulcer Score, gastric juice volume, free and total acidity, ulcer index, ulcer protection, and pH were measured. The ulcer score was determined via rat stomach biopsies. Plant ethanolic extracts are gastroprotective. Only pH increased compared to the control group. Piper attenuatum ethanolic extract is the most gastroprotective at 200 mg/kg. Extracts were phytochemically and analytically assessed. Phytochemical screening demonstrates that plant extracts contain alkaloids, amides, glucose, proteins, glycosides, steroids, flavonoids, etc. This research suggests that phytoconstituents may have anti-ulcer potential, although structural elucidation of bioactive chemicals is needed. Molecular docking showed better binding affinity versus the 3D structure of pig gastric H+/K+ ATPase isoforms phytoconstituents Cepharadione A, Cepharadione B, Guineensine, Norcepharadione B, and Piperlonguminine. With these significant results, it may be a drug in the future.

In today's rapidly changing economic landscape, financial resilience has become increasingly important especially for public sector organizations. This study investigates the impact of e-government adoption and social support on individuals' financial resilience in Indonesia, with a focus on the mediating role of financial management skills. A quantitative research methodology was employed, and 348 complete and suitable questionnaires from individuals in the financial department in local government in Indonesia were analyzed using SmartPLS 4.0 software. The results indicate a significant relationship between e-government adoption and financial management skills, suggesting that digitizing government services contributes to improved financial resilience. Additionally, social support was found to have a positive impact on financial management skills, supporting the notion that social networks provide resources and support for financial well-being. Financial management skills were also found to be significantly associated with financial resilience, indicating that individuals with strong financial management skills are better equipped to adapt to changing circumstances. While the mediating effect of financial management skills between e-government adoption and financial resilience was not significant, it was significant in the relationship between social support and financial resilience. These findings provide insights into the factors that enhance financial resilience in an increasingly digitized society and inform strategies to promote financial well-being in Indonesia.

Several Multivariate Adaptive Regression Spline (MARS) approaches are available to model categorical and numerical (especially continuous) data. Currently, there are other numerical data types—discrete or count data—that call for specific consideration in modeling. Additionally, spatially correlated count data is frequently observed. This has been seen in the case of health data, for example, the number of newborn fatalities, tuberculosis patients, hospital visitors, etc. However, currently no structurally consistent nonparametric regression and MARS model for count data incorporating spatial lag autocorrelation. The SAR-MAGPRS estimator (Spatial Autoregressive - Multivariate Adaptive Generalized Poisson Regression Spline) is developed to fill this gap. Although it can be applied to different count distributions, the estimator was developed in this study under the assumption of a Generalized Poisson distribution. This paper provides an information-theoretic framework for incorporating knowledge of the spatial structure and non-parametric regression models, especially MARS for the count data types. Moreover, the proposed method can assist in modeling the number of diseases while health policies are being developed. The framework presents an application of the Penalized Least Square (PLS) method to estimate the SAR – MAGPRS model.

Some new hydrazine complexes of trivalent lanthanide 3,3’-thiodipropanoates of empirical formulae [M(N₂H₅)(tdp)₂] and [Pr(N₂H₅)(tdp)₂·H₂O], where M = La, Ce, Sm and Nd, H₂tdp = 3,3’-thiodipropanoic acid, have been prepared and characterized by elemental analysis, mass, FTIR, Raman and electronic spectral, powder X-ray diffraction, scanning electron microscopy (SEM) and simultaneous TG–DTA techniques. The presence of bidentate carboxylate anion and coordinated N2H5 in these complexes are confirmed by IR spectra. TGA/DTA results confirmed that all the rare earth metal complexes give the corresponding metal carbonate (heating up to 1000 °C) through a metal oxalate intermediate. SEM images of Pr2O3 residue obtained from its complex show nano-sized clusters, thus the complex may be used as a precursor for nano-Pr₂O₃ preparation. The synthesized complexes show good antimicrobial activity against six bacteria (Bacillus cereus, Staphylococcus aureus, Proteus vulgaris, Pseudomonas aeruginosa, Escherichia coli, and Serratia species) and four fungi (Candida albicans, Aspergillus niger, Aspergillus fumigatus, and Penicillium variance) as assessed by in vitro biological activity.

The proliferation of artificial intelligence (AI) has emerged as a critical metric for assessing a country's technological advancement, but also for regional economic coordination and high-quality development in China. Based on panel data collected from 31 provinces between 2006 and 2021, this study employs the DEA-Malmquist index model and panel Tobit model to examine the scale, distributional attributes, and influencing factors of AI resource allocation. Results indicate that China's AI resource allocation efficiency has generally increased, with technical efficiency generating a “pull effect” that propels total factor productivity growth rates higher than those attributable to technological progress. Furthermore, AI efficiency in non-coastal regions outstrips that in coastal areas, with total factor productivity growth arising from a substantial increase in technological progress rates. Regional economic development, labor demand, openness to foreign participation, and human capital level exert pivotal roles in enhancing AI resource allocation efficiency. Based on these findings, we suggest a set of strategies aimed at enhancing China's AI resource allocation efficiency, including amplifying government guidance, increasing R&D investments, upgrading economic development levels, fostering the development and strengthening of tangible economy, and attracting and nurturing high-quality scientific research talent.

The present study evaluates the photochemical behavior of a nitroimidazole derivative drug metronidazole in presence of N,N dimethylaniline and ZnO nanoparticles. The photochemical behavior was examined in a photochemical reactor by irradiating with a light of 254 and 310 nm. After completion of reaction one photoproduct was obtained. The photoproduct was isolated by using column chromatography and the structure of the isolated photoproduct was established by different spectroscopic techniques. This study provides the probable mechanism of the photochemical transformation of metronidazole in presence of an electron donor and in presence of ZnO NPs. During the photochemical transformation the nitro group of metronidazole was reduced in the amine group by a series of electron transfer processes. The ZnO nanoparticles are very efficient catalysts, and they degrade almost 90% metronidazole in the 60 min of UV irradiation. The photocatalytic mechanism of the ZnO nanoparticles is also discussed.

This study aims to identify and evaluate the influence of the factors affecting the implementation of occupational health and safety of employees and employers and its impact on occupational health and safety and legalize risk assessment in small and medium-sized manufacturing enterprises in central Vietnam through the survey among 246 business representatives and data processing through the software SPSS 20 and AMOS 20. The results show that there are 3 factors affecting the implementation of occupational health, safety and hygiene. In order: (1) Safety regulations and instructions; (2) Occupational health, safety policy and (3) Occupational health and safety training. There is no relationship between the impacts on the implementation of occupational health and safety of the employer. In addition, a very interesting finding about the relationship of factors implementing occupational health and safety of employers was a positive influence on the legalization of risk assessment activities. On the basis of these results, employees, business owners and state management agencies will have grounds to offer useful solutions in risk assessment in order to better perform safety work and occupational health.

Most of the d-metals are familiar with their distinctive properties and their applications have been extended in vast industry fields. Though they are doing outstanding work in industries and help to boost the economy of dependence. The excess uptake of d-metals explores significant health issues, and detrimental effects on the environment, and corrodes the biological species. Fluorescent probes based on Schiff base chemical compounds give more accuracy, and low-level detection for metal ions in water, chemicals, and in biological cells through commendable and quick fluorescence signals. So, it empowers the successful detection of d-metals in terms of dissimilar fluorescence responses by probes in light of metals. Based on the recent research in the field of Schiff base-based fluorescent probes and interpretation on effects for binding like ON-OFF PET, ICT, CHEF, and CHEQ this imperative review is framed.

As a capital market investment, stocks have risks that must be managed. Therefore, investors should consider the returns and risks of investment products. This study aims to estimate the risk of insurance companies' loss when investing. The method used to estimate the level of risk is Value at Risk (VaR) based on Extreme Value Theory (EVT). The data used is secondary data in the form of daily stock closing prices from two insurance companies, AXA General Insurance and BRI Insurance, from January 2016 to January 2022. The data were used to estimate the risk value according to the EVT principle. As a result, Insurance AXA General Insurance, with 5.91% liquidity, has the lowest VaR value with a 99% confidence level, while BRI Insurance has 5.04%. We concluded from these results that AXA General Insurance has a lower investment risk. It means that each company has a different risk value. Therefore, investors should know these risk factors when choosing a company.

Emerging maritime cyber threats put Indonesia's marine technology-based systems at risk This study aims to determine the dimensions and analysis of risk assessment in maritime cyber security based on 3D models in the Indonesian sea area. A statistical descriptive qualitative method approach supported by the Analytical Hierarchy Process (AHP) and Technique for Order by Similarity to Ideal Solution (TOPSIS) methods were used in this study. Risk analysis in maritime cybersecurity has 3 (three) main criteria: Threat, Vulnerability, and consequence. Based on the results of 3D risk analysis, the six dimensions of MCS are identified as having a level of risk at Very Low and Low Risk. The highest risk value is obtained by the dimension of Cyber security-related company procedures (D2) (0.368) and the lowest risk value is Ship's systems readiness (D3) (0.048).