The research aimed to know the influence of long-term relationships, information sharing, Cooperation, and integration process in partial on the supply chain effectiveness of the EPC Steam Power Plant project in the Province of North Sulawesi. It was also to know whether enterprise risk management moderates the influence, long-term relationship, information sharing, Cooperation, and integration process toward supply chain effectiveness. The employees who became the sample in the supply chain activities of the steam power plant project in North Sulawesi were 250 people, 149 of whom were proportionally from the project owner. The research uses the data analysis technique using Structural Equation Modelling-Partial Least Square. The result of the study indicated that long-term relationships, information sharing, Cooperation, and integration process partially have a positive and significant influence on supply chain effectiveness. In addition, enterprise risk management proved to moderate the impact of information sharing. Still, it needed to moderate the effect of a long-term relationship, Cooperation, and integration process on the supply chain effectiveness of the EPC Steam Power Plant Sulut-3 project.

The following work could bring new insights into the application of heterocyclic N, N′-substituted thiobenzamide derivatives as novel pesticides. Insect growth regulators such as chitin synthesis inhibitors seem promising because of their specific mode of action on insects and their lower toxicity against vertebrates than conventional insecticides. Thus, a novel series of thiobenzamide derivatives have been prepared in a pure state. The structure of these synthesized compounds which related to the most famous insect growth regulator insecticides, were confirmed by elemental and modern spectroscopic analyses (IR, UV, ¹HNMR and ₁₃CNMR). Toxicological and biochemical parameters of the synthesized compounds against the cotton leafworm, Spodoptera littoralis under laboratory conditions were also investigated. Regarding the determined LC₅₀ value for compound 2,4-Dichloro-N-[(2-methoxyphenyl)carbamothioyl]- benzamide 14 showed the most potent toxic effects than the other synthetic target compounds, with LC50 46.84 ppm of 2nd instar larvae and LC50 148.05of the 4th instar larvae.

This manuscript reports the preparation and toxicological efficacy testing of nine oxoimidazolidine and cyanoguanidine compounds (3a, 3b, 3c, 3d, 3e, 3f, 3g 4a, and 4b) against cowpea aphid, Aphis craccivora Koch. Bioefficacy data revealed that the tested compounds exhibited a range of toxicological activities against these insects, with compound 3b being the most toxic and compound 4a being the least effective. The LC50 value of compound 3b was 1.72 ppm for adults and 0.02 ppm against nymphs of the cowpea aphid, while the LC₅₀ value of compound 4a was 72.51 ppm for adults and 18.02 ppm against nymphs. The manuscript also presents the structure-activity relationships of these compounds. These results provide valuable insights into the development of effective pest control agents for the management of such insects.

It is admissible that fuzzy numbers (FNs) are apt for representing imprecise or vague data in real-world problems. While using FNs in decision-making problems, selecting the best alternative among available alternatives is challenging, and therefore, ranking FNs is essential. We can find different studies in the literature, but to our knowledge, no one attempted to rank FNs using the concept of volume. This paper proposes a new method for ranking generalized fuzzy numbers (GFNs) using the volume of the solid obtained by revolving its membership function (MF) about the x-axis. We calculate the volumes of positive and negative sides along with the centroid of a generalized fuzzy number(GFN) to define the fuzzy number(FN) score. This score represents the defuzzified value of FN, is used to select the best alternative, and overcomes the limitations in some existing methods like ranking FNs having the same centroid, crisp numbers, symmetric fuzzy numbers, and FNs with the same core.

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.