Big Data Analytics (BDA) provides an important resource for businesses seeking to enhance their performance and gain a competitive advantage, although not all organizations are adopting BDA techniques, and small and medium-sized enterprises (SMEs) in Jordan have been slow in this regard, despite being key players in any healthy economy, and the fact that BDA adoption can be facilitated by using the Technology Acceptance Model (TAM). The purpose of this study is to investigate the drivers of behavioral intention among managerial-level employees in Jordanian ICT SMEs to adopt BDA through a quantitative correlational research approach. The TAM questionnaire was used to gather data from 271 online survey participants in Jordan using Google Forms. The target group included management level staff working in small and medium-sized ICT firms (SMEs). Confirmatory factor analysis (CFA) was used to evaluate the research instrument's reliability and validity, and structural equation modeling (SEM) was utilized to test the study's hypotheses. The findings revealed that perceived usefulness, perceived ease of use, and perceived “privacy and security” significantly influenced managerial-level employees' behavioral intention to use BDA in their organizations. The research findings also supported the application of TAM, and the results of the investigation indicated that managerial-level employees would be willing to use BDA techniques providing they were perceived to be useful, user-effortless, and posed little concern about privacy and security. Overall, the current study's results demonstrate that the suggested model had good predictive power, 51% of the variance in behavioral intention, and was therefore capable of predicting managers' intentions to use BDA.

A new salicylaldehyde-based sensor N'-(5-bromo-2-hydroxybenzylidene)-4-methylbenzohydrazide (P4) was designed, and its sensing ability towards various metal ions was assessed using UV-visible spectroscopy. The structure of P4 was spectroscopically characterized by UV-Visible, Infrared, ¹H-NMR, ¹³C-NMR spectroscopy and mass spectrometry. UV-Visible absorption spectral study showed selective sensing ability of P4 for Cd²⁺ and Ni²⁺ ions in presence of diverse transition metal ions. The results revealed that the detection limit for Cd²⁺ and Ni²⁺ was 3.14 µM and 0.92 µM, respectively. Moreover, the compound P4 was fully implemented for detection of Cd²⁺ and Ni²⁺ in simulated samples.

The present includes the synthesis of pyrazoline derivatives using chalcones and phenyl hydrazine in the presence of ethanol. It also reveals that 2-pyrazoline complexes are physiologically active and may be used in a variety of therapeutic functions. FT-IR, ¹H-NMR, ¹³C-NMR, LC-MS, and elemental analyses were used to characterise newly synthesised phenyl-pyrazoline derivatives. The antimicrobial activity of the synthesised compounds was assessed using the agar well diffusion assay and the Minimum Inhibition Concentration (MIC). Compounds 4b, 4f, and 4h have exhibited remarkable antibiotic action against bacterial strains such as Staphylococcus aureus, Bacillus subtilis, Salmonella. Typhi, and Shigella sp. On the other hand, compound 4h had significant antifungal activity against Candida albicans and Aspergillus fusarium and was a highly promising agent when compared to standard nystatin.

The construction of smart villages has begun in many Indonesian villages, along with the advancement of technology and local economic growth. Villagers must participate in constructing the smart economy-smart village by becoming familiar with the characteristics of the village's inhabitants using the citizen science model. This study intends to categorize villagers so that researchers can assess and decide their level of readiness for a smart economy in an ecosystem based on a smart village. Clustering is required to find communities of residents who are ready based on their traits. Using fuzzy C-Means with a Davied Bouldin Index value of 0.129, the data were divided into 4 clusters. The most important variables were chosen using information from the test's 300 responders, and the Kaiser Mayer Olkin assumption of 0.975 was used to validate the results. Our paper provides new information on how smart village readiness is assessed by the citizen science cluster. It was decided to divide residents into four groups: those who are less prepared (24.33%), those who are somewhat prepared (29.33%), those who are ready ( 25.67%) %), those who are ready (level of participatory knowledge), and those who are very ready for the smart economy (20.67%) based on the cluster model.

Parabens are chemicals that are frequently used as preservatives in numerous cosmetic products. In recent years, the safety concern over these compounds has grown due to their endocrine-disrupting activity. In this research, a novel green magnetic molecularly imprinted polymer (GMMIP) was synthesised using propylparaben as a template and then applied as an adsorbent to selectively recognise and remove parabens from cosmetic samples. The green strategies were introduced by using Persicaria odorata or Kesum leaf extract as a reducing agent to synthesise green magnetic nanoparticles (MNP) as a magnetic core, and deep eutectic solvent (DES) has been designed as an environmentally friendly functional monomer that was used in the preparation of GMMIP. The GMMIP was characterised using Fourier transform infrared spectroscopy (FTIR), field emission scanning electron microscopy (FESEM), and Brunauer-Emmett-Teller (BET). The results of FESEM and BET indicated that the GMMIP exhibited an irregular spherical shape and mesoporous characteristics with a pore size of 17.74 nm. The adsorption pH, kinetics, isotherms, and thermodynamics parameters were performed to investigate the interactions that take place between GMMIP and propylparaben. The adsorption processes appeared to best fit the pseudo-second-order kinetic and Freundlich isotherm models at an optimum pH of 12. Findings from a thermodynamics study revealed the adsorption process was exothermic, spontaneous, and more favourable at 298 K. The optimised GMMIP was applied as an adsorbent to remove the parabens from cosmetic samples. When compared to methylparaben and ethylparaben, the GMMIP had the highest selectivity and effectively removed propylparaben, with recoveries ranging from 75.6% to 113.3%. It was found that the limits of detection (LOD) and quantification (LOQ) were between 0.03 and 0.05 mg/L and 0.11 and 0.16 mg/L, respectively. The synthesised GMMIP proved to be a convenient and effective adsorbent to remove parabens from cosmetic products.

The woodcraft industry has been developing in Bali for more than half a century in the form of family business (SMEs) which is currently managed by the third generation or the transition from the second to the third generation, where this phase is the climax of the family business. Apart from contributing to tourism, this craft business also has cultural values. Moreover, the tourism situation and macroeconomic shocks have had an impact on business conditions. This research aims to analyze the performance of a woodcraft family business based on a family and financial approach, through a two by two matrix analysis as well as to analyze the determining factors of willingness to succession of woodcraft family business in Bali, with MICMAC analysis. The results show that the performance of the family business in this case is high emotional but low financial capital. There are 18 identified factors related to the willingness to succeed in the woodcraft family business, and the most influential factor (existing and forecasting) is the participative leadership style, while the most dependent is personal interest which is the involvement of the successor from an early age in family business activities.

This research investigates the impact of inflation on income inequality in Indonesia. This study is part of a comprehensive examination investigating which monetary policy can be utilized to lessen inequality. As a central bank objective, inflation can influence the distribution of income, wealth, and endogenous consumption, hence defining inequality. This study employed dynamic panel data analysis for linear autoregressive data using the generalized method of moments (GMM) for both first differences GMM (FD-GMM or AB-GMM) and system GMM (Sys-GMM or BB-GMM) with regional data from 58 cities in 2010-2020. The Arellano-Bond estimator reveals a positive and statistically significant association between inflation and inequality. When inflation rises, the purchasing power of the poor will decline, while the wealthiest will benefit as their non-cash assets proliferate. This study finds, indirectly, that Indonesia’s monetary policy can play a crucial role in lowering income distribution gaps. As one of the nations with an inflation-targeting framework, the Indonesian Central Bank can target the inflation rate by considering inequality. The ITF becomes the most effective monetary policy for stabilizing prices and promoting economic stability. The ITF reduces income inequality by reducing inflation rates. The study also finds that, similar to other emerging nations, economic growth in Indonesia exacerbates inequality. Poverty can be reduced by increased economic growth, but the positive impact of development on the wealthy is significantly more significant than on the poor. Therefore, economic expansion increases inequality.

The construction of a λ-shaped three side substituted alkoxy based molecular system (E1-E8) with azo-ester group was carried out and studied for liquid crystalline applications. The mesogenic behaviour and thermal stability of synthesized derivatives were checked and analyzed by POM, DSC and TGA analysis. These azo-ester based compounds show smectic C and nematic type mesomorphic properties. The observed texture patterns of the synthesized compounds are fan, broken fan, schlieren and threaded types. All derivatives shows broad temperature range of mesophase and further stabilized upto the room temperature. The structure-property relationship has been further studied to understand the effect of variable side-chain on liquid crystalline properties.

A field experiment was carried out to calculate the effect of thermal requirements and its relation to the yield and chemical content of sugar beet during two growing seasons in Upper Egypt. The temperature effects on sodium, potassium, and alpha - amino nitrogen contents. There was a high correlation between growing degree days (GDD) of three harvesting dates and three sugar beet varieties. The results indicated that increasing harvesting date increased roots and sugar yields.

Drug-resistant microorganisms are a serious problem, particularly when more strains become immune to different antimicrobials. Antibiotic resistance has now developed in several microbes. Therefore, it is crucial to build new medications that are still efficient. The amount of funding that is often available for such progress is lower than what is necessary. Kydia calycina is a Malvaceae flowering plant used in traditional Indian medicine to cure several diseases, including infections. The goal of this study was to determine whether K. Calycina has antifungal and antibacterial properties. Infections are caused by the profusion of microbes in the environment; thus, plant products and active chemicals are employed to assess the antimicrobial property of the extracts and the inhibition zone of each extract on a range of bacterial and fungal strains. The results showed that when it was applied to the species that were studied, there was a considerable decrease in the growth of bacteria. The plant was subjected to a phytochemical analysis, which was completed. This plant may be employed in the quest for bioactive natural substances that might be used as leads in the creation of pharmaceuticals. The antimicrobial mechanism of action was investigated by molecular docking, and it was determined that Hibiscoquinone B and Hibiscone C showed both antibacterial and antifungal activity.