Due to their high synthetic efficiency, multi-component reactions (MCRs) have shown to be extraordinarily effective at producing compounds in a single synthetic operation. The chromeno[2,3-d] pyrimidine moieties represent important building blocks in synthetic bioactive compounds. The reaction of barbituric acid, aldehydes, and cyclohexane-1,3-diones in the presence of zinc acetate (5 mol%) under neat conditions at 70 0C, yielded a facile and one-pot synthesis of corresponding chromeno[2,3-d]pyrimidineones. Thirteen compounds containing neutral, withdrawing and electron donating groups (H, NO₂, -CN, -Cl; -OH, -CH₃ and -OCH₃) were synthesized in good, isolated yields ranging from 78-91%. The successful involvement of o-, m-, and p- substituted nitro benzaldehydes suggested that steric hindrance had no effect. All of the synthesized compounds are well-known, and this process is unique in that it makes use of zinc acetate, an accessible, low-cost Lewis acid catalyst.

A new series of Schiff bases derived from pyrazole-thiocarbohydrazide, namely (4a-d), were well-synthesized. The synthesis is carried out using monothiocarbohydrazone derivative (3), which was prepared via coupling of 5-chloro-pyrazole-4-carbaldehyde (1) with thiocarbohydrazide (2) in absolute ethanol that contains a catalytic quantity of acetic acid. The structures of newly synthesized compounds were fully clarified by various spectroscopic analyses (FT-IR, ¹H-NMR, ¹³C-NMR, and mass spectra) and elemental analysis. Also, the molecular docking was performed to investigate the binding interactions of the synthesized compounds (1, 3 and 4a-d) with COX-2 active site. The results revealed that most of them have robust hydrogen bonding networks and favorable binding energies compared to compound (4b). Understanding the anti-inflammatory behavior through understanding the specific interactions of these compounds with COX-2 will aid in the design and development of more effective inhibitors for therapeutic applications.

Manufacturers employ AI for monitoring vehicle mileage, inspecting components, and scheduling maintenance. Past studies underscore the need for auto-related plans to prioritize environmental protection, concentrating on AI-driven environmental solutions promoted by AI for Good. AI enhances brand success by improving investment, technology, and promotional capabilities. This study emphasizes consistency in AI application across the automotive value chain for brand sustainability. A web-based poll surveyed 120 AI users in marketing, HR, sustainability, as well as 180 sustainability specialists and regulators. The primary goal is to assess, via structural model evaluation, how extraneous variables affect the development of AI-powered brand sustainability strategies. The study highlights AI's sustainability benefits in the automotive industry improving transportation safety, forecasting maintenance, and creating eco-friendly vehicles. However, challenges involve over-reliance on AI, predicting human behavior, and addressing sustainability threats. AI development should consider regional differences, prioritizing openness, policy harmony, and consumer agency. These findings aid marketing and HR professionals in devising customer-centric long-term plans.

It has been reported that the halogen dance reaction can be used to synthesize polyfunctionalized 1,3-thiazoles. The transformation into target products was carried out by lithiation of 2-bromo-5-(1,3-dioxolan-2-yl)-1,3-thiazole with lithium diisopropylamide (LDA) followed by treatment with various electrophiles. The obtained compounds were then successfully applied to prepare novel 4,5-difunctional thiazole derivatives.

The purpose of this study is to analyze the relationship between digital leadership variables and supply chain performance, supply chain innovation and supply chain performance and the relationship between electronic human resource management (E-HRM) and supply chain performance. The research method used in this study is a quantitative survey method research design. The technique used in selecting samples in this study is simple random sampling. Data collection in this study was done online by distributing questionnaires through the Google Form platform and obtaining direct responses from respondents. The number of respondents studied was 786 small and medium enterprises (SMEs) owners in Indonesia. The study uses path analysis techniques for data and hypothesis testing. Statistical testing on the path analysis model can be done using the partial least square method. The study uses a Likert scale, which is categorized into five categories: (1) strongly disagree, (2) disagree, (3) neutral, (4) agree, and (5) strongly agree. Data analysis in this study used Smart Partial Least Square (SPLS) software version 3.00. Model evaluation in testing with SPLS consists of two stages, namely, evaluation of the outer model and inner model. The evaluation of the outer model consists of factor loading tests, Average Variance Extracted, cross-loading, Cronbach's alpha, and composite reliability, while the evaluation of the inner model consists of the coefficient of determination (R2), cross-validated redundancy (Q2), Goodness of Fit (GoF), and hypothesis testing. The results of this research analysis are that digital leadership has a positive and significant relationship with supply chain performance, supply chain innovation has a positive and significant relationship with supply chain performance and e-HRM has a positive and significant relationship with supply chain performance. Digital Leadership involves leaders who can drive digital transformation and implement innovative strategies to leverage digital technologies. This involves the ability to understand and leverage technologies such as artificial intelligence, etc. In addition, digital leadership also involves sensitivity to change and the ability to drive innovation, collaboration, and technology adoption across SMEs.

The validation of bioanalytical methods holds critical importance for regulatory agencies and organizations dedicated to ensuring the safety, efficacy, and quality of pharmaceuticals. In this context, the recent release of the ICH M10 guideline in May 2022 represents a significant milestone in standardizing bioanalytical method validation globally. However, this guideline lacks explicit experimental protocols for implementation. In this study, we address the practical implementation of the newly released ICH M10 guideline by providing a detailed validation protocol for a bioanalytical method. Our method specifically targets tiaprofenic acid, a widely used nonsteroidal anti-inflammatory drug. Tiaprofenic acid is a critical component in bioequivalence studies, underscoring the necessity for precise and accurate quantification within complex biological matrices. The integration of the accuracy profile approach, a statistical tool, enhances the significance of this work. This approach aids in assessing the accuracy and precision of bioanalytical methods, establishing confidence intervals around measured concentrations, and quantifying the level of accuracy and precision expected when using the validated method.

This study investigates the impact of introducing financial technology (Fintech) on increasing the financial viability of small and medium enterprises (SMEs) operating in the IT sector in the United Arab Emirates (UAE). By identifying the obstacles that SMEs experience while dealing digital transformation, this study aims to show how the emerging financial technologies, including digital banking, peer-to-peer lending, and AI applications, can drive enhancements in financial utilization and the innovation of banking products, cost-cuts, increased organizational productivity, and better client experiences. A quantitative research approach was implemented, and the research tool used was a structured questionnaire developed to capture respondents’ data from 250 respondents from SMEs in the UAE. Descriptive and inferential statistics of correlation and regression analysis were done using the stratified random sampling technique. Results indicated that fintech adoption enhances financial performance in SMEs. Specifically, increased accessibility shows a strong positive correlation with financial performance (r = 0.998, p < 0.01), while enhanced efficiency and improved customer experience also show strong correlations (r = 0.635, p < 0.01). The variable "Increased Accessibility" showed the most significant effect on the financial performance of SMEs, with a highly significant positive correlation and the strongest predictive value in the regression analysis. This study concludes that the implementation of fintech solutions offers significant opportunities for improving the financial performance of SMEs and recommends increased investment in fintech and appropriate regulation for that purpose.

The global rise of life-threatening diseases, particularly breast cancer, has emerged as a grave public health challenge. Recognizing the distinct structural demands of anti-breast cancer targets, we have synthesized Thiophene-DHPMs analogs by scaffold hopping approach to exhibit versatility having the ability to target proteins targets of cancer and their interactions contingent upon the various substitutions on them. We have harnessed MCRto synthesize novel Thiophene-DHPMs (4a-4d) derivatives introducing an efficient Biginelli protocol approach. All derivatives are characterized through techniques including FTIR and ¹H NMR and evaluated by in vitro SRB assay method on MCF-7 cell line, compared against positive control ADR. Molecular docking studies against kinesin spindle protein Eg5 (1Q0B) revealed superior binding interactions and docking scores (> 8 Kcal) compared to the prototype Eg5 inhibitor Monastrol. Compound 4a binds via Hydrogen bond interaction to target Eg5 with ALA-133, PRO-137, TYR-211 In vitro evaluation of results indicates that compound 4a found to be moderately active (GI₅₀ = -4.41) compared to positive control ADR (GI₅₀ = -7.76) against MCF-7 cells. Compound 4a demonstrates significant activity due to the presence of R=C2H5, X= S, and thiophene ring.

In this digital era, collaborative management is needed to improve service quality and be supported by multiple stakeholder participation to provide optimal service. This research aims to investigate the role of collaborative governance in the quality of immigration services and the role of numerous stakeholder participation in the quality of immigration services. Investigate the correlation between supply chain service and service quality. This research method uses a quantitative method approach, research data was obtained by distributing online questionnaires via the Google Form platform. The questionnaire is designed to contain statement items on a Likert scale of 1 to 7. A 7-point Likert scale can minimize measurement errors and be more precise. The Likert scale used in this research is (1) strongly disagree, (2) disagree, (3) quite disagree, (4) Neutral, (5) quite agree, (6) agree, (7) Strongly agree. The respondents for this research were 567 senior employees of the immigration department in Indonesia who were determined using a simple random sampling method. Research data analysis uses the partial least squares (PLS) structural equation modelling (SEM) approach with data processing tools using SmartPLS 4.0 software. The variables in this research are the dependent variables, namely collaborative governance, and multiple stakeholder participation and the dependent variable is the quality of immigration services. The stages of data analysis are validity testing, reliability testing and significance testing of hypothesis testing. Based on the results of the analysis and discussion that have been presented in this research, this research uses the Partial Least Square (PLS) method for data analysis, it can be concluded as follows, it is concluded that collaborative governance has a positive and significant relationship to the quality of immigration services, multiple stakeholder participation has a positive and significant relationship to the quality of immigration services. Supply chain service has a positive and significant relationship with service quality. Implementing collaborative governance can encourage improvements in the quality of immigration services. Implementing multiple stakeholder participation can encourage improvements in the quality of immigration services.

In current paper, a novel, green, efficient and recyclable magnetic nanocatalyst (α-Fe₂O₃@MoS₂@Ni) was prepared and characterized by spectroscopic and microscopic techniques (FT-IR, XRD, SEM, EDX, TEM and VSM). α-Fe₂O₃@MoS₂@Ni magnetic nanoparticles (MNPs) were utilized for preparation of 1,2,4-triazolidine-3-thiones and spiro-triazole hybrid series. In this method, a series of triazole derivatives prepared from the reaction between thiosemicarbazide or semicarbazide with diverse isatine derivatives or various arylaldehydes and ketones at room temperature in water as solvent with great yields and short reaction times. α-Fe₂O₃@MoS₂@Ni MNPs was simply removed from the reaction mixture and was reused for five times without any notable changes in its catalytic activity.