With the rapid advancement of blockchain technology, SMEs face an opportunity to leverage decentralized ledger systems to address longstanding challenges related to financial transparency. This study aims to assess the implications of blockchain adoption for SMEs operating in the Jordanian context, focusing on its potential to improve accountability, trust, and efficiency in financial operations. Drawing on quantitative research methods, this paper examines the current state of financial transparency using a structural equation modeling approach of 215 surveys. The findings indicated that there is a positive impact of block-chain technology on enhancing financial transparency. The findings of this research contribute to both academic understanding and practical implications for policymakers, regulators, and SMEs in Jordan seeking to enhance financial transparency through blockchain technology. By shedding light on the positive impact of blockchain on financial transparency in the Jordanian SME sector, this paper aims to inform strategic decision-making and stimulate further research in this emerging field. Ultimately, it underscores the transformative potential of block-chain technology in promoting accountability, trust, and eco-nomic development among SMEs in Jordan and beyond.

A sequence of thioxotetrahydropyrimidenes derivatives, N-(4-chloro/methoxyphenyl)-3-formyl-6-methyl-4-aryl-2-thioxo-1,2,3,4-tetrahydropyrimidine-5-carboxamides (4a-l) were synthesized by the formylation of N-(4-chloro/methoxyphenyl)-6-methyl-4-aryl-2-thioxo-1,2,3,4-tetrahydropyrimidine-5-carboxamides (3a-l) by dry dimethyl formamide (DMF) and phosphorous oxychloride at room temperature. Formerly, compounds (3a-l) were synthesized by the condensation of N-(4-chloro/methoxyphenyl)-3-oxobutanamide (1), various aromatic aldehydes (2a-f) and thiourea with catalytic amount of concentrated hydrochloric acid under reflux temperature. The structures of the synthesized various thioxotetrahydropyrimidenes have been characterized by using elemental analysis, Infrared, ¹H-NMR, ¹³C-NMR spectroscopy and further supported by Mass spectroscopy. All the products have been screened for their in-vitro biological assay like antibacterial activity towards Gram-positive and Gram-negative bacterial strains and antifungal activity towards Aspergillus niger at a concentration of 40 µg/ml. It was showing that the compounds 4a, 4e, 4g, 4h, 4i and 4l displayed inspirational antibacterial and antifungal activity compared to the used reference standard.

Despite the recognized importance of service quality in supply chain management, there has been limited research examining the interplay between digital leadership, service quality, and supply chain management. This study employs bibliometric analysis techniques to investigate how digital leadership influences service quality within the context of supply chain management. Utilizing VOSviewer v1.6.20, we analyzed 490 publications from the Web of Science database pertinent to this domain. Our findings reveal that advanced technologies, including digital leadership, IoT, AI, and blockchain, play a crucial role in modernizing supply chains, enhancing operational efficiency, and achieving environmental objectives. The study discusses the broader implications for both theoretical frameworks and practical applications in the field.

Hospital hazards and human errors pose a significant and complex problem, with rising incidents and irreversible consequences. Managing laboratory errors and risks is vital due to the presence of chemicals, electrical equipment, and the involvement of students, professors, and staff. The high value of laboratory equipment further underscores the need for robust risk management strategies. To address these challenges, researchers have explored the Failure Mode and Effects Analysis (FMEA) method for risk identification and assessment in healthcare settings. However, recognizing its limitations, this study aims to prioritize and evaluate laboratory errors using an integrated approach that combines the Best-Worst Method (BWM) and Complex Proportional Assessment with a Fuzzy Spherical Environment (CoCoSo-FSE). By applying the BWM, criteria such as severity, detectability, and occurrence probability are weighted to account for the nature of laboratory errors. The CoCoSo-FSE is then employed to evaluate and prioritize 18 identified laboratory errors, reducing uncertainty and enhancing decision-making. The fuzzy spherical set is used to address uncertainties by providing a flexible framework for decision-makers to define membership functions in specific spherical regions, enhancing the representation of knowledge and decision-making information. The proposed approach is compared with other decision-making methods, namely MOORA and COPRAS, demonstrating reliable ranking results. Sensitivity analysis confirms the stability of the approach's ranking when adjusting the flexibility parameter. This integrated approach offers a reliable and robust decision-making technique for managing laboratory errors, providing valuable insights to enhance laboratory safety and risk management for stakeholders, managers, and policymakers.

3-aryl-6-phenyl-7H-[1,2,4]triazolo[3,4-b][1,3,4]thiadiazines were obtained with good yields (81-95%) via the heterocyclization reaction of 1-phenyl-2-((5-aryl-1,3,4-oxadiazole-2-yl)thio)ethane-1-ones in acetic acid. The physicochemical characteristics of the synthesized compounds were established, the structures were confirmed by the data of IR, ¹H and ¹³C NMR spectra, as well as the results of X-ray diffraction analysis. The cytotoxic, antibacterial and antifungal properties of these compounds were evaluated. In vitro screening results showed that compounds 8, 9 and 12 significantly inhibit (54-65%) the growth of HeLa, HBL-100 and CCRF-CEM cancer cell lines. It was found that the cytotoxicity of the synthesized compounds increases in the series of oxadiazoltiones (1-4) - S-derivatives (5-8) - triazolothiadiazines (9-12). Compounds 5-16 do not exhibit antimicrobial properties.

This paper investigates the effect of Strategic Management Accounting (SMA) and Business Analytics (BA) on Sustainable Competitive Advantage (SCA). Moreover, it examines the mediating effect of Dynamic Capabilities (DY) and the moderating effect of Competition Intensity (CI) on direct relationships. The study used the survey method to collect data from listed companies in the Amman Stock Exchange, and the hypotheses were tested using Partial-Least Squares-Structural Equation Modelling. Based on the findings, DC mediates the relationship between SMA and SCA as well as BA and SCA. CI moderate only the relationships between SMA and SCA. The study findings can be used as directions by management, policymakers and researchers to comprehend the positive influence of SMA, BA and DC on SCA.

Novel 2,4-disulfonylsubstituted 5-aminothiazoles were synthesized and their anticancer activity was assessed at a high dose (10 μM) against NCI 60 cancer cell lines. Compounds 24 and 25 showed the antiproliferative activity with mean growth inhibition about 66.0%. Replacing 4-hydroxypiperidine 24 with the more hydrophilic N-methyl piperazine 25 increased the number of sensitive cell lines while replacing these hydrophilic groups with lipophilic ones abolished the anticancer activity. The COMPARE analysis showed that the tested compounds had a moderate positive correlation with alkylating agents (CCNU and methyl CCNU) and with a purine nucleotide biosynthesis inhibitor analog (L-cysteine). The results indicate that the above mechanisms of antitumor action of standard compounds are not the main ones for the tested compounds due to the lack of a high correlation. The results of this study allow us to consider compounds 24 and 25 as a basis for their further functionalization to obtain more active compounds.

Continuously increased order and variability of the inventory in the uppermost level of the supply chain node create the Bullwhip effect. In the context of closed-loop supply chains, this dynamic phenomenon is still little understood despite modern nations' increasing interest in exploring the potential for a circular economy. The problem-specific literature has produced results that are a little bit contradictory. I derive formulas in four archetypes for computing inventory order and variance amplification with different information transparency structures to better understand the Bullwhip Effect in the closed-loop structure. It’s interesting to note that the visibility of the supply chain's degree significantly influences how lead time and return rate affect the performance of that system. From this vantage point, I may review differences from earlier studies. Later on, I switched the perspective of the study from operational to economic. Here, the ideal return rate was established, and the four closed-loop supply chain (CLSC) archetypes where it might be expressed were provided. I demonstrate that the lead times, demand unpredictability, and the cost structure of all nodes affect the ideal rate of return. In this study, I also address pertinent management implications and the properties of various closed-loop systems from the perspective of Bangladesh.

This study focuses on the efficient synthesis of series of substituted 4-amino-6-(1H-benzimidazol-2-ylsulfanyl) benzene-1,3-dicarbonitrile derivatives synthesized from aldehydes, propanedinitrile, substituted thiols and catalyzed by ZnO nanoparticles (ZnONPs). All the synthesized compounds have been characterized using different spectroscopic techniques such as FT-IR, ¹H-NMR, C¹³-NMR and Mass. The compounds were evaluated for potential pharmacological applications, including antimicrobial, α-amylase inhibitory and anticancer activities. Computational calculations, DFT, in-silico molecular docking, and ADME-toxicologystudies were performed. ADMET studies indicated that all synthesized compounds adhered to Rule of five with good bioavailability. This research underscores the promising pharmacological prospects of the synthesized newbenzimidazole derivatives.

The study aimed to discover the effect of the main characteristics of accounting information (AI) in achieving sustainable development (SD) in Al-Kharj Governorate by studying the characteristics of (AI) represented in relevance and reliability with independent variables and studying the dimensions of sustainable development (economic, social and environmental). The theoretical and applied study will use the descriptive and analytical approach. Data were collected through a questionnaire distributed to the study sample represented by business organizations in Al-Kharj Governorate. The data is analyzed using structural equation modeling with partial least squares. The expected results of the study are: The relevance of (AI) positively affects the economic dimension of (SD) in Al-Kharj Governorate, the relevance of (AI) positively affects the social dimension of (SD) in Al-Kharj Governorate, the relevance of (AI) positively affects the environmental dimension of (SD) in Al-Kharj Governorate, the reliability of (AI) positively affects the economic dimension of (SD) in Al-Kharj Governorate, the reliability of (AI) no effects on the social dimension of (SD) in Al-Kharj Governorate, the reliability of (AI) no affects the environmental dimension of (SD) in Al-Kharj Governorate.