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Abstract An equilibrium study concerning the association of Na+, K+, Rb+ and Cs+ with 4, 7, 13, 18-tetraoxa-1,10-diazabicyclo [8, 5, 5]-eicosane [211], 4, 7, 13, 16, 21-pentaoxa-1, 10-diazabicyclo [8, 8, 5]-tricosane [221] and 4, 13-didecyl-1, 7, 10, 16-tetraoxa-4, 13-diazacyclooctadecane [22-DD] in acetonitrile has been carried out at 25C by using a conductometric technique. The observed molar conductivity, ?, of a test solution was found to decrease significantly for mole ratios less than 1:1 upon the addition of the complexing ligand. A model based on 1:1 stoichiometry has been used to analyze the conductivity data. The data have been fitted according to a non-linear least-squares analysis that provides the stability constant, K, and the molar conductivity, ?c, for each cation ligand inclusion complex. The binding sequences were found to follow the order: Na+ > K+ > Rb+ Cs+ (K 0) for [211], Na+ > K+ > Rb+ > Cs+ for [221] and K+ > Na+ > Rb+ > Cs+ for [22-DD] complexes. Trends in ionic conductivities of complexed ions are also discussed. [ABSTRACT FROM AUTHOR]

Abstract The UAE harbors a rich diversity of wild medicinal plants, such as Calotropis procera (CP), that are renowned for their extensive use in traditional medicine due to their abundance of bioactive phytochemicals. Zinc and iron metals possess significant pharmacological effects including antioxidant and anticancer properties. In this study, nanoparticles (NPs) containing zinc and iron were green synthesized utilizing ethanolic and aqueous extracts of CP aerial parts. UV-Vis spectra revealed absorption peaks around 270–275 nm, while FT-IR analysis confirmed successful coating of the NPs with plant’s phytochemicals. SEM/EDX analysis indicated a more potent reducing effect of the aqueous extract, whereas the alcoholic extract demonstrated more effective coating of the NPs. DLS showed monodispersed NPs with average sizes of 32.67–202 nm. The alcoholic extract-based zinc and iron NPs exhibited the highest phenolic and flavonoid contents (51.06 ± 2.82 µg of GAE/mg of DW and 66.26 ± 1.12 µg of Qu/mg of DW, respectively) and the strongest antioxidant effect against ABTS and DPPH radicals (IC50 = 52.81 and 148.46 µg/mL, respectively). The aqueous extract-based zinc NPs demonstrated the greatest cytotoxicity against A-431 cell lines (IC50 = 188.97 µg/mL). The findings highlight promising potential of these sustainable materials for therapeutic applications, indicating a need for continued research and development in this area.

The advent of artificial intelligence (AI) has triggered a significant evolution in the sphere of social media. This research is designed to explore the influence of AI technologies in user experience under Social Media Marketing examining augmented reality, virtual influencers, and chatbots in Jordanian Millennials. The associations were assessed with the importance analysis in the data using Smart PLS 4 and a combination of direct hypothesis testing and mediation analysis. With that being said, our results suggest a non-negligible effect of AI on the social media user journey. In addition, we find that chatbots, virtual influencers, and augmented reality can effectively mitigate the role of user experience in user attitudes toward AI. Realizations like these contribute to the epistemology of the area and provide actionable input for researchers and professionals.

This study explores the factors affecting CliQ payment service adoption in Jordan as it represents a major shift in the Jordanian market to Fintech and mobile marketing. This study presented a distinctive model by integrating the “unified theory of acceptance” and the “technology acceptance model” TAM with the “use of technology UTAUT” to measure the behavioral intention of consumers and the satisfaction of the users towards utilizing the CliQ service. The study measured the linkage between four predictors (perceived usefulness, social influence, perceived ease of use, and financial risk) as well as both utilizers’ intention to CliQ service usage and utilizers’ satisfaction with using the service, along with observing the association between these predictors to determine their contribution to the users’ satisfaction mediated by the users’ intention to utilize the service mentioned above. A survey instrument was distributed to 604 respondents, and it was developed and validated by academics, as a pilot test. As well as a pre-test. Hypotheses were tested with multiple linear regression analysis using SmartPLS software to interpret path coefficients, and reliability and validity within the outer model were tested through correlation analysis. Additionally, internal consistency was explored by applying Cronbach’s alpha. The outcomes proved that the predictors significantly affect both utilizers’ behavioral attitudes and satisfaction with using the CliQ service, except for financial risk. The data analysis also indicated a significant indirect influence of all the independent variables on utilizers’ satisfaction through behavioral intention to utilize the CliQ service, except for financial risk, which had an insignificant indirect influence on utilizers’ satisfaction through behavioral intention for service usage. The findings of the current article close the gap found in the literature concerning measuring usability to enhance user satisfaction and adoption of Fintech services. Therefore, bank managers and policy planners can find insights for developing and improving mobile banking apps.

This research paper examines the digital infrastructure required to achieve project management success by analyzing the enabling elements of this digital infrastructure in terms of three pillars: digital readiness, digital fitness, and digital tools. A comprehensive literature review was conducted to identify these enabling elements and to develop a list of project management success indicators through which the success of project management can be measured. To evaluate and rank the digital infrastructure enabling elements, a Multi-Criteria Analysis (MCA) was implemented using a hybrid approach combining Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). The study used the digital infrastructure enabling elements as MCA alternatives and the project management success indicators identified in the literature review as MCA criteria. The results indicated that the enabling elements associated with digital tools are the most significant for project management success, with a FTOPSIS closeness coefficient (CCi) of 0.8525, followed by those related to digital fitness (CCi = 0.6481) and digital readiness (CCi = 0.1602). These findings have proven to be robust, as they remained consistent even when weights of the MCA criteria were adjusted in three new scenarios proposed in a scenario analysis. This research highlights the critical role of digital enabling elements in enhancing project management practice and achieving project management success. It also offers a strategic framework for organizations to develop and strengthen their digital infrastructure.

AbstractThis study explores FinTech adoption in Jordan during and post-COVID-19 pandemic by integrating and extending the TAM and UTAUT theories to predict behavioral intention to use FinTech. Six predictors were hypothesized to test their impact on behavioral intention: perceived usefulness, perceived ease of use, social influence, personal innovativeness, financial risks, and privacy risks. while using COVID-19 lockdowns as a moderator. Using structural equation modeling (SEM) on a sample of 296 respondents, the data analysis results indicated that the proposed variables, including the predictors and the moderator, accounted for 38.4% of the variation in behavioral intention to use FinTech. Which clearly shows the important impact of COVID-19 on increasing the adoption of technologies and especially FinTech’s in the Jordanian context. The empirical findings revealed that perceived usefulness and personal innovativeness had the most significant impact on behavioral intention. In contrast, privacy risks had no significant impact on behavioral intention. Besides, this study empirically demonstrated the impact of COVID-19 lockdowns as a moderator. The impact of COVID-19 lockdowns significantly moderated the relationship between perceived usefulness, perceived ease of use, personal innovativeness, and financial risks with behavioral intention. The result of this study contributes to both theory and practice by adding to the existing literature on FinTech adoption using new determinants that might drive behavioral intention to use FinTech services.

AbstractCanagliflozin (CFZ) is a sodium-glucose cotransporter-2 inhibitor (SGLT2) that lowers albuminuria in type-2 diabetic patients, cardiovascular, kidney, and liver disease. CFZ is classified as class IV in the Biopharmaceutical Classification System (BCS) and is characterized by low permeability, solubility, and bioavailability, most likely attributed to hepatic first-pass metabolism. Nanocrystal-based sublingual formulations were developed in the presence of sodium caprate, as a wetting agent, and as a permeability enhancer. This formulation is suitable for children and adults and could enhance solubility, permeability, and avoid enterohepatic circulation due to absorption through the sublingual mucosa. In the present study, formulations containing various surfactants (P237, P338, PVA, and PVP K30) were prepared by the Sono-homo-assisted precipitation ion technique. The optimized formula prepared with PVP-K30 showed the smallest particle size (157 ± 0.32 nm), Zeta-potential (−18 ± 0.01), and morphology by TEM analysis. The optimized formula was subsequently formulated into a sublingual tablet containing Pharma burst-V® with a shorter disintegration time (51s) for the in-vivo study. The selected sublingual tablet improved histological and biochemical markers (blood glucose, liver, and kidney function), AMP-activated protein kinase (AMPK), and protein kinase B (AKT) pathway compared to the market formula, increased CFZ’s antidiabetic potency in diabetic rabbits, boosted bioavailability by five-fold, and produced faster onset of action. These findings suggest successful treatment of diabetes with CFZ nanocrystal-sublingual tablets.

The purpose of the current study is to investigate how the views of domestic tourists affect their propensity to adopt platforms and tools for digital marketing. On the basis of the perceived organisational E-readiness and the revised information systems success model, regression analyses were employed to evaluate the assumptions based on 375 selfadministered questionnaire surveys done with tourist businesses. The selection of questionnaires was based on a convenience strategy and a stratified proportional sampling method. The results of the research indicate that user satisfaction, system quality, IT infrastructure, information quality, service quality, and top-level management support are substantially associated with the use of digital marketing platforms and tools. The results of this study have practical and policy implications for legislators, marketers, and managers as they design successful and efficient digital marketing strategies to satisfy the requirements and expectations of tourist businesses.

The purpose of the current research is to explore the impact of Instagram pages on consumers’ purchasing intentions among millennials in the fashion industry in Jordan. This study uses a quantitative, cause-effect, and cross-sectional approach. Online surveys were used to collect data from 212 respondents through different social media tools. The collected data was analyzed by SPSS software and Smart PLS to test the research hypothesis. Results show that bloggers’ recommendations significantly affect eWOM and engagement; usefulness information significantly affects eWOM and engagement; while trust insignificantly affects eWOM and engagement; brand familiarity insignificantly affects eWOM and engagement; participation and socialization insignificantly affect eWOM and engagement. Finally, useful information, eWOM, and engagement significantly affect consumers buying intention on Instagram. The study gives new information about the influence of Instagram pages on consumers' intentions. Therefore, this research expands the knowledge about factors that affect customers’ buying intentions. Since the study is a quantitative cross-sectional conducted on fashion industry Instagram users through an online survey in Jordan, which may limit its generalization to other industries and countries, therefore, the study suggests applying similar studies to online users of different ages, industries, and countries. Marketers can use Instagram to contact, promote, advertise, and sell their products by developing strong relationships with their customers through different social media tools. Using social media tools for marketing and selling reduces paperwork, printed advertisement, and transportation, which positively affects corporate social responsibility and reduces the consumption of energy and pollution.

Abstract Background Aortic cross-clamp utilized during cardiac surgery facilitates motionless and bloodless surgical field. However, the duration of clamp time has an inverse effect on early post-operative recovery period. In this study, we sought to examine the predictors of aortic clamp duration and intensive care unit length of stay. Results Six hundred and nine adult patients presented for elective cardiac surgery between December 2019 and December 2020 were enrolled. The age of patients ranged from 18 to 82 years (mean 55.62 years, SD ± 12.3 years). Male/female ratio is 4.6:1. Most patients (87.2%) were planned for coronary artery bypass grafting (CABG) and 78 patients (12.8%) for single heart valve procedure. Operative time (OT) ranged from 120 to 402 min and averaged 259.4 min (SD ± 45.9 min). ACC time ranged from 15 to 159 min and averaged 50.56 min (SD ± 19.4 min). Factors associated with significantly longer ACCT were: smoking (OR = 1.89 (95% CI 1.3–2.74), p value = 0.01), respiratory disease (OR = 0.48 (95% CI 0.24–0.96), p value = 0.039), obesity (OR = 1.76 (95% CI 1.18–2.63), p value = 0.005) and AVR (OR = 2.11 (95% CI 1.17–3.83), p value = 0.013). Low cardiac output syndrome (LCOS) was observed in 19.2% of patients. Longer than average ACCT was associated with increased use of inotropes (p value

Background Helping families of persons with disabilities in times of the spread of COVID-19 is a major step to ensure their social and psychological adaptation. This call comes from the fact that from a health perspective, persons with disabilities have less immunity and are more vulnerable to deceases and infections. Many families of persons with disabilities have also expressed their concerns regarding the safety of their disabled member/s. Therefore, this study aimed to identify the impact of the new COVID-19 on the psychological and social adjustment of fam-ilies of persons with disabilities in the Kingdom of Saudi Arabia. Participants and procedure The sample of the study was chosen randomly from the Asir region. The sample consisted of any member of the families of persons with disabilities (parents and siblings). Participants responded to a questionnaire, which was sent electronically via WhatsApp to the families of persons with disabilities. The questionnaire gathered demographic information about the disabled member from the family (age and level of disability). The ques-tionnaire underwent statistical treatment to extract data for analysis. Results The results showed less ability for families of persons with disabilities to adapt psychologically and socially to the spread of COVID-19. The findings revealed the existence of fundamental differences in the levels of psy-chological and social adaptation among these families due to the level of disability of their member and due to the variable of age, and in favor of the age group of 11-15 years. The study recommended providing safe methods of communication with families of persons with disabilities to reduce the feeling of psychological iso-lation and loneliness as much as possible during the quarantine or curfew periods. Conclusions This study explored the levels of psychological and social adaptation of families of persons with disabilities in the time of COVID-19. The spread of the virus created a crisis in different counties and millions of people were infected. Persons with disabilities are among the categories affected most by the infection of the virus due to their weak immunity and their health problems. Therefore, response plans need to take measures that cover the needs of persons with disabilities and their families.

This study aimed to identify the change resulting from globalization in tourism industry and their impact in the development of tourism activity. The study followed the descriptive style, to achieve this purpose, a questionnaire was developed to measure the effect of political, economical and cultural globalization on tourism Activity. The sample of study consisted of (255) employees from higher departments of the Jordanian tourism industry. The results of the present study showed that the changes resulting from globalization (political, economical and cultural) in tourism industry showed a high level in the development of activity tourism. The results also indicated the presence of significant differences in the fields of cultural globalization on tourism activity and the effects of political globalization on Tourism Activity due to gender is in favor of males, However, there were no differences in the field of economic globalization on Activity Tourism, there were significant differences attributed to qualification in the field of political globalization on Tourism Activity and the study tool as a whole in favor of bachelor degree, there were no differences due to the variables of experience and type of job in the fields of economic, cultural, political and there were significant differences in sector variable in the field of political globalization on Tourism Activity in favor of public sector. Whereas, there were differences due to public sector in the study tool as a whole in favor of private sector.

Abstract Anticoagulation clinics (ACCs) are specialty clinics that manage patients with blood clotting problems. Since labor costs usually account for a substantial portion of a healthcare organization’s budget, optimizing the number and types of staff required was often the focus, especially for ACCs, where labor-intensive staff-patient interactions occur. A significant portion of tasks performed by clinical pharmacists might be completed by clinical pharmacist technicians, which are less-expensive resources. While nurse staffing models for a hospital inpatient unit are well established, these models are not readily applicable to staffing ACCs. Therefore, the objective of this paper is to develop a framework for determining the right staff mix of clinical pharmacists and clinical pharmacy technicians that increases the efficiency of care delivery process and improves the productivity of ACC staff. A framework is developed and applied to build a semi-automated full-time equivalent (FTE) calculator and compare various staffing scenarios using a simulation model. The FTE calculator provides the right staff mix for a given staff utilization target. Data collected from the ACCs at VA Boston Healthcare System is used to illustrate the FTE calculator and the simulation model. The result of the simulation model can be used by ACC managers to easily determine the number of FTEs of clinical pharmacists and clinical pharmacy technicians required to reach the target utilization and the corresponding staffing cost.

Effective outpatient appointment scheduling aims at reducing patient waiting time and operational costs, and improving resource utilization, especially given the stochastic nature of patient arrivals. Unlike many western developed countries, China faces challenges due to imperfect appointment systems and ineffective resource allocation. Those challenges lead to long patient waiting times and significant pressure to provide accurate and reliable medical diagnosis that can handle the increasing demand for patient care. In this paper, an outpatient appointment scheduling model for primary care settings was developed. The model was structured for a multi-provider clinic with a single medical device that allows for revisit (i.e., follow-up) procedures. A total of six scheduling rules were designed and tested. Then, sensitivity analysis was performed with respect to two parameters: the percentage of patients with fixed appointments and walk-ins, and the scheduled physician assessment times. The experimental results of the simulation model were used to determine the optimal values for the two parameters. Among the six scheduling rules tested, the one that involves patients with fixed appointments and walk-ins to be served alternatively every hour, led to the shortest waiting time and the highest equipment and staff utilization. In this scenario, patients with fixed appointments are served by Provider 1, while walk-ins are served by Providers 2 and 3. The sensitivity analysis under this rule revealed that when the percentage of patients with fixed appointments and walk-ins was 30-70%, and the scheduled service time was 20 minutes, the total patient waiting time and total resource idle time were minimized.