Irbid National University

The acceptance of artificial intelligence (AI) in academic settings, particularly in the context of research creativity, is a growing area of interest. This study aimed to design and validate the AI Acceptance and Research Creativity Scale (AIA&RCS) among faculty members. This exploratory mixed-method was conducted among 720 faculty members. A literature review and participant interviews were conducted in the qualitative phase to generate and develop items. In the quantitative phase, face validity, content validity, construct validity, convergent validity and reliability (internal consistency and stability) were used. Exploratory factor analysis (EFA) indicated a 4-factor model of the scale with 'perceived usefulness and effectiveness of AI in research cre-ativity', 'ethical issues in research', 'trusted in AI capabilities' and 'willingness to use AI' accounting for 51.6% of the variance. This arrangement was verified by confirmatory factor analysis (CFA), with fit indices that were at suitable levels. Then, the network analysis took into account the four-factor structure of AIA&RCS further. Similarly, the exploratory graph analysis (EGA) indicated the four-factor configuration of the AIA&RCS. The 25-item scale is well-suited for measuring AI acceptance and research innovation among faculty because of its psychometrics.

This study investigates the relationship between big data and knowledge sharing and how they can be linked to banking innovation, including process and product innovation. In this study, questionnaires are tailored to fit the hypotheses formulated from data collected from 279 participants (including managers from several departments of the bank such as administration, research & development, accounting, operations, marketing, and sales) at the Housing Bank for Trade operating in the city of Irbid, Jordan. To get a correct result, this study used the structural equation model ‘SEM’ and found a positive relationship between big data and innovation in products and processes, which is confirmed by the data. BID positively affects product innovation (β = 0.302; p < 0.001) and process innovation (β = 0.286; p < 0.001). Also, the study confirms that mediating “knowledge sharing” plays a significant role in innovation and big data in the bank. This study brought evidence that big data is the major dimension that leads to knowledge sharing and innovation performance. The findings also show that companies must employ counterintuitive strategies when developing innovative products or services that differ significantly, quite a bit, from the established expectations of consumersи?. Ultimately, to reap the benefits of technology such as big data and market-driven investing, organizations must invest in both. To orchestrate dynamic capabilities required by innovation, organizational models, roles, and management methods need to be revised.

Background Xerosis cutis, or dry skin, is a common issue among critically ill patients and can lead to discomfort, impaired skin barrier function, and an increased risk of complications. Aim This study aimed to evaluate the efficacy of a skincare protocol in reducing the risk of xerosis cutis in critically ill patients. Study Design A pre‐ and post‐intervention design was conducted. A total of 68 critically ill patients were non‐randomly assigned into two groups (a control group and an intervention group). The control group received standard care, while the intervention group followed a specific skincare protocol. The primary outcome measure was the overall skin dryness score, categorized as absent, mild, moderate, severe or very severe. The distribution of skin dryness scores was compared between the two groups using the chi‐square test; a p ‐value of <.05 was considered statistically significant. Results It was noticed that the majority of patients in the control group have xerosis 22 (57.9%) versus 9 (30.0%) of patients in the intervention group with statistically significant differences on the 14th day ( χ ² = 5.259, p = .022*). The highest percent of patients (44.7%) in the control group had a very severe (+4) overall skin dryness score versus 70% of patients in the intervention group who had absent (0) overall skin dryness score with statistically significant differences at the 14th day ( χ ² = 11.858, p = 0.023*). Conclusions The implementation of a specific skincare protocol can effectively reduce the risk of xerosis cutis in critically ill patients and also improve patient comfort and prevent complications. Relevance to Clinical Practice The skincare protocol serves as a reference for managing skin dryness and reducing the risk of xerosis cutis in critically ill patients. Nurses can incorporate this skincare protocol into their daily routines to prevent or manage dry skin, thereby enhancing patient comfort and quality of life.

The study intends to investigate the impact of Top Management Support (TMS) on adopting Computer-Assisted Audit Tools (CAATs). This study used the roles of Auditor IT Competency (ITC) and Innovativeness (AI) as mediating and Perceived Usefulness (PU) as moderators, which might influence the relationship between TMS and CAAT adoption. The comfort environment in the Jordanian conventional audit industry has raised the issue of the importance of moving towards CAAT utilization due to the shifted business environment toward automation. CAATs are known for their effectiveness in facilitating audits. The adoption of CAATS depends very much on the support of the top management. With auditor IT competency and innovativeness, it is expected to create a more favorable environment for CAATs' adoptions. This study adopts a quantitative approach using a questionnaire collected from personnel who work closely in the audit environment. They are selected from the company listed on the Amman Stock Exchange. The findings revealed a significant impact on TMS and CAATS by adding the effects of TMS and ITC on the relationship between TMS and CAAT adoption intention; again, a significant result is revealed. However, the PU showed mixed moderating effects. This study highlights the importance of top management support and the influence of certain auditor characteristics that would encourage the adoption of new audit technologies in the company. It provides valuable insights for audit firms and professionals on the possibility of switching to new technology to keep up with the changes in the business dynamic.

The study aimed to explain the role of the Central Bank of Jordan in contributing to achieving the economic empowerment of women in the Jordanian banking system, through a statement of the legislation and laws regulating and issued by the Central Bank of Jordan to enhance the economic empowerment of women. The study addressed the concept of women’s economic empowerment and its origins and the role of the Central Bank in adopting Strategies for economic empowerment of women in the Jordanian banking system. The study concluded that the percentage of women’s participation in economic activity is one of the lowest percentages based on data from the Central Bank of Jordan, and that there are great efforts made by the Central Bank of Jordan to remove obstacles to women’s participation in economic activity. The study recommended the need for the Central Bank of Jordan to network with the private sector. And the Association of Jordanian Banks in the field of adopting programs and initiatives concerned with empowering women and following up on the work of all these institutions in this field and coordination.

In this paper, specific functional operators, referred to as two-mode operators, are utilized to extend the (1+1)-dimensional Chaffee-Infante model into a generalized second-order evolutionary partial differential equation in the time coordinate. This extended model, termed the two-mode Chaffee-Infante model, characterizes the motion of two synchronized symmetric waves propagating under the influence of three embedded parameters: dispersion, nonlinearity, and phase velocity. Two effective methods, the extended tanh(coth)-expansion method and the sine(cosine)-function method, are employed to derive several traveling solutions for the proposed model. Additionally, the impact of other parameters on the propagation behavior of the TMCI is explored. It is believed that the findings in this paper will offer valuable insights into the study of nonlinear models of second-order in the time-coordinate.

Introduction Nurses play a crucial role in the primary prevention of phenylketonuria (PKU) within national screening programs for newborns. This is achieved through consult with the child’s provider promptly to arrange a PKU test, accurate collection of blood samples at maternal and child health centers, enable early detection of potential cases. Aim This study aimed to assess the level of primary health care nurses’ knowledge and neonatal screening performance for phenylketonuria in Alexandria Methods A descriptive research design was used. The study included all nurses (50 nurses) who are responsible for obtaining newborn screening test from 5 primary health care centers in Alexandria. Two tools were used to collect the necessary data: nurses’ knowledge regarding phenylketonuria disease assessment sheet and nurses’ performance about newborn screening for phenylketonuria observational checklist. Results It was found that the mean age of participant was 42.94 ± 5.0 and 52% of them had completed their technical level of education and the means years of experience was 17.64 ± 4.84. The total mean score of nurses’ knowledge regarding phenylketonuria screening was 16.24 ± 1.99 with the mean percent score of 72.72 ± 8.27. It was also found the total score of nurses’ screening performance was 11.0 ± 0.97 with the mean percent score of 64.71 ± 5.70. A significant positive correlation was found between nurses’ knowledge and their screening performance with P = < 0.001. Conclusion It was concluded that majority of participant nurses had correct knowledge in neonatal screening and many aspects of phenylketonuria disease. However, they still needed support in steps related to infection control.

Artificial intelligence (AI) has become an integral part of marketing strategies, providing innovative approaches to promote various products and services. In particular, AI is a powerful tool for promoting renewable energy, which helps accelerate the transition to a sustainable energy future. The purpose of this article is to explore the role of AI in renewable energy marketing, analyze its application in raising consumer awareness and stimulating their interest in clean energy. The article discusses methods of using AI, such as big data analysis, machine learning, artificial neural networks and consumer needs forecasting, to create personalized advertising strategies and optimize communication channels. It also analyzes the impact of AI on the effectiveness of marketing campaigns and reducing promotion costs. The study proposes a model for implementing AI in the marketing activities of renewable energy companies, which includes content optimization and interaction with consumers. Particular attention is paid to the benefits that AI brings to marketing: improving forecast accuracy, increasing customer loyalty and creating innovative advertising solutions. The main findings of the study highlight the importance and conceptual necessity of using artificial intelligence to stimulate the growth and popularization of sustainable energy technologies at the global level.

There is a growing interest in green technologies, which is associated with the global need for sustainable development and the transition to environmentally friendly energy sources. One of the effective tools for promoting these technologies is digital marketing, in particular social media platforms. The use of social media and digital channels to promote green technologies is becoming a key factor in raising consumer awareness and stimulating them to more environmentally friendly solutions. The purpose of the article is to analyze the role of digital marketing and social media in promoting green technologies, as well as to study their effectiveness in attracting and retaining the target audience. The work considers various platforms such as Facebook, Instagram, LinkedIn, YouTube and TikTok and their impact on the perception of environmentally friendly solutions. It examines the methods and strategies used by companies to create content aimed at conscious consumers, as well as ways to interact with the audience to form long-term relationships. The importance of integrating digital technologies into the marketing strategies of companies operating in the field of green technologies is substantiated and the prospects for their further application in the context of global environmental challenges are highlighted.

The article is devoted to the study of the application of blockchain technologies and digital marketing to increase trust in green projects focused on sustainable development and environmentally friendly technologies. In the context of modern information overload and a high degree of consumer mistrust of environmental initiatives, it is important to use innovative tools that will ensure transparency, security and reliability of information. Blockchain as a distribution database allows us to guarantee the immutability of data on the origin of products and production processes, which is especially important in the field of green technologies, where there is often a risk of “greenwashing” - falsification of environmental characteristics of products. In turn, digital marketing using tools such as social networks, SEO and content marketing helps to effectively convey information about green initiatives to the target audience and create trust. The article analyzes existing methods and successful examples of blockchain implementation in the marketing strategies of companies operating in the field of renewable energy and sustainable production. The prospects and challenges of implementing these technologies, as well as their synergy for creating transparent and trusting relationships between companies and consumers are also considered.

In the era of widespread misinformation, detecting fake news has become a crucial challenge, particularly on social media platforms. This paper introduces an optimized approach for Fake News Detection, combining BERT and GloVe embeddings with Principal Component Analysis (PCA) and attention mechanisms, enriched by social and temporal features for more effective text representation. Leveraging the CIC Truth Seeker Dataset 2023, we applied SHAP for feature selection and interpretability, ensuring transparency in the model’s predictions. Our methodology achieved a remarkable accuracy of 99.9% using a Random Forest classifier, showcasing the efficacy of this optimized hybrid approach. The integration of interpretability techniques such as LIME and SHAP provides deeper insights into the model’s decisions, making it a reliable tool for combating misinformation. This novel approach offers a robust and transparent solution to the growing threat of fake news, contributing significantly to the integrity of online information and public discourse on platforms like Twitter X.

This paper focuses on designing a cellular manufacturing system as a step toward creating sustainable cells. The proposed design aims to manufacture final products and remanufacture the returned products to diminish waste, where the return rate for each product is known. Firstly, the product families are formed using the uncapacitated mathematical model. Secondly, a nonlinear stochastic mathematical model is utilized for the propounded design as a step toward creating sustainable cells, where machine duplications are allowed. Besides, a simulation model is developed to handle the uncertainty in demand. Further, the performance of the proposed design with flexible cells is compared to regular cells. The results explain the ability of the proposed design to minimize the total number of machines. Furthermore, allowing machine duplication in the proposed design enhances the system flexibility; thus, machine breakdown will not impact system performance. The total number of machines required to cover the demand increases as the risk level of demand cover decreases. Therefore, the average waiting time and average work in process increase.

We evaluated the lethal and sublethal effects of two novel Betaproteobacteria-based insecticides ( Burkholderia spp. strain A396 as Venerate® XC; Chromobacterium subtsugae strain PRAA4-1 as Grandevo® WDG) and two neem-based insecticides (1.2% azadirachtin A and B as Azatrol and 3% azadiractin as Molt-X) on the cotton aphid, Aphis gossypii , and its natural enemy, Coccinella septempunctata . Aphids were given both residual and direct treatments, i.e. exposed to residues applied by leaf dipping, or by spraying the insects and foliage, while the predator was treated directly with insecticides. Well-established spirotetramat (Movento® 240 SC) was used as standard due to its effectiveness against a wide range of pests, its unique mode of action, and its systemic properties. All insecticides were effective against aphid mostly in concentration-dependent manner, as do exposure time, but at different magnitudes. Spirotetramat and Azatrol induced the highest toxicity to adult aphids, while spirotetramat and Molt-X were more noxious to aphid nymphs. C. subtsugae and Burkholderia were less effective, inducing only moderate levels of aphid mortality. Azatrol and spirotetramat were more detrimental to the fecundity of aphid compared to other products. Insecticides significantly increased the development time of nymphs surviving exposure to insecticides, except Burkholderia. Azatrol were more destructive to eggs, larvae and adult of Coccinella septempunctata , together with spirotetramat for young larvae and adults, relative to other treatment. The development time of predator larvae remained unaffected by treatment. New Betaproteobacteria- and neem-based insecticides except Azatrol seem to be a promising tool to suppress population of Aphis gossypii and integrate pest management programmes.

Background SMEs failure is common within the first 5 years. For efficient resource management and improve corporate performance, SMEs need management accounting systems. Structure, strategy, and staff qualifications affect MAS adoption in organizations. Objective : This study aims to examine the effect of contingent factors in the adoption of MAS, as well as the effect of MAS on performance, and also the role of MAS as a mediator between performance and contingent factors in SMEs in Jordan. Methods PLS-SEM was used to evaluate a questionnaire of accounting department heads and finance managers from Jordanian SMEs ( N = 415). Results Decentralization, accounting staff qualification, differentiation strategy, and low-cost strategy directly increase MAS adoption. This study shows that MAS improve performance significantly. This study also shows that MAS mediate the relationship between decentralization, accounting staff qualification, differentiation strategy, and low-cost strategy and SME performance in Jordan. Conclusions The study found that contingent factors can help us understand how managers can use MAS information to improve performance. The results only somewhat expand the corpus of research on MAS’s usefulness, but they help us understand the aspects that may affect MAS design and performance in firms.

Background: Emotional abuse of women is common and has significant health and social consequences. Emotional abuse often precedes physical and sexual abuse. Research centered on emotional abuse is limited when compared with other forms of abuse, such as sexual and physical abuse. A lack of understanding of emotional abuse in women can lead to negative health complications and failure to provide the most effective care. A close examination of the attributes of emotional abuse is needed to inform interventions that improve women’s health outcomes. Purpose: The purpose of this concept analysis is to explore the critical components of emotional abuse against women in the context of intimate relationships. Method: The Walker and Avant (2011) process was used to analyze the concept of emotional abuse. This analysis utilized quantitative and qualitative research studies. Studies in English from 2013 to 2023 were included. Evidence was reviewed to clarify the attributes, antecedents, consequences, and model cases of emotional abuse in women. Results: One hundred and two studies met the inclusion criteria. Four attributes of emotional abuse were identified, including humiliation, indifference, control, threat, and intimidation. Emotional abuse as a phenomenon is associated with women’s and partners’ influences, unhealthy relationships, the normalization of emotional abuse in society, and the lack of social support. Emotional abuse in women leads to poor psychological, perinatal, and intimate relationship problems. Conclusion: Nurses should understand the attributes, causes, and consequences of emotional abuse in women to help them recognize and address this issue in the clinical setting. Further studies are needed to increase nursing’s understanding of the experience of emotional abuse in women.

Background and Aim Cranial cruciate ligament (CrCL) injuries are a prevalent orthopedic issue in dogs, typically managed through surgical interventions such as tibial plateau leveling osteotomy and tibial tuberosity advancement. However, these techniques have limitations, including high costs and extended recovery periods. This study introduces an innovative CrCL repair method employing an autologous lateral digital extensor muscle tendon graft and evaluates the effects of platelet-rich plasma (PRP) on tissue healing. Materials and Methods Twenty-four healthy, male, local-breed dogs were divided into two groups. Group A underwent the surgical procedure without PRP, while Group B received intra-articular PRP during surgery. Outcomes were evaluated through clinical assessments of lameness, post-operative complications, and histological analysis over 10, 20, 30, and 40 days. Results The PRP-treated group demonstrated statistically significant improvements in post-operative complication scores (p = 0.0025) and histological outcomes (p = 0.0002). However, graft maturation was unaffected by PRP treatment but improved over time (p = 0.0013). PRP-treated dogs exhibited faster recovery and enhanced tissue regeneration, with reduced inflammation and improved graft-bone attachment. Conclusion This novel surgical approach demonstrates significant potential for improving outcomes in CrCL repair by combining autologous tendon grafting with PRP. The technique offers reduced complications and enhanced healing, providing a promising alternative to traditional methods. Further studies are recommended to validate its efficacy in clinical settings.

Background The quality and safety education for nurses (QSEN) competency program represents a valuable initiative in nursing practice and education, equipping nurses with the essential knowledge, attitude, and skills (KAS) required to deliver safe, efficient, and patient-centered care. Purpose This study aims to determine the impact of QSEN competency on the KAS of nurses in Palestine. Method A quasi-experimental pre-test and post-test design with two groups was used utilizing a questionnaire to collect data from 164 Junior nurses in two governmental hospitals within the period of 25th, January to the 10th February 2024. Patricia Benner’s theory suggests that a strong educational foundation and diverse experiences enable nurses to enhance their patient care knowledge and abilities over time. Results The findings indicate that nurses in Palestine can benefit from targeted interventions and QSEN educational programs aimed at improving their patient-centered care competence, as post-test scores show a significant rise over pre-test scores. Junior nurses who participated in the QSEN program experienced a 57% increase in knowledge, a 57% increase in skills, and a 64% increase in attitudes. The intervention significantly improved knowledge (77.02 vs. 49.19, p < 0.001), quality and safety skills (70.16 vs. 44.61, p < 0.001), and attitudes (75.47 vs. 46.16, p < 0.001) among participants post-procedure, indicating a substantial positive impact on these areas, demonstrating the effectiveness of the educational intervention. Conclusion The study demonstrates that an educational intervention improves junior nurses’ KSAs for six QSEN competencies, leading to higher average scores in quality and safety competence subscales, thereby enhancing staff satisfaction, and reducing medical errors, and patient safety.

The whitefly, B. tabaci, poses a significant threat to cucumber cultivation. While traditional insecticides are commonly used to manage this pest, they frequently raise ecological and health concerns. In contrast, naturally derived biopesticides offer a promising and environmentally friendly alternative for controlling whitefly populations, thereby reducing negative impacts on non-target organisms. This study evaluates the efficacy of two novel Betaproteobacteria-based insecticides: Burkholderia spp. strain A396 (Venerate XC) and Chromobacterium subtsugae strain PRAA4-1 (Grandevo WDG) against B. tabaci. Leaf-dipping bioassays were performed to compare the effectiveness of these biopesticides with spirotetramat (Movento® 240 SC) as a standard control. Both biopesticides significantly reduced egg hatching rates and decreased survival rates in nymphs and adults by 74.5, 94.8, and 76.5%, respectively, indicating concentration-dependent effects. Direct exposure to Venerate and Grandevo exhibited toxicity levels comparable to spirotetramat across all tested concentrations. However, spirotetramat residues were found to be more toxic to adult whiteflies than the other products, while the mortality associated with Venerate residues was relatively low. Both Venerate and spirotetramat produced significant sublethal effects on the duration of nymph development, although these effects were not consistently concentration-dependent; Grandevo did not affect nymph development. These findings suggest that the novel insecticides may effectively manage B. tabaci populations in Jordan, warranting further investigation under field conditions.

Drying wheat (Triticum durum) seeds within their spikes may improve the seed desiccation tolerance. This study aimed to understand the effect of drying wheat seeds within their spikes on their desiccation tolerance in association with GABA (γ-aminobutyric acid) content, malondialdehyde (MDA), the expression of three dehydrin genes (dhn, wcor, dreb) during seed development. Seeds of wheat variety ‘Hourani-Nawawi’ were harvested at five developmental stages: (1) milk (ML); (2) soft dough (SD); (3) hard dough (HD); (4) physiological maturity (PM); and (5) harvest maturity (HM) and dried either attached to or detached from their spikes. Drying the seeds attached to their spikes improved desiccation tolerance, speed of germination, and seedling length at ML stage. Before drying (freshly harvested), the seeds harvested at ML and HM had higher GABA than those at SD, HD, and PM. The attached-dried seeds had higher GABA content from ML to PM than at HM, and higher glutamate content at ML, SD, and HD than at the PM stage. Detached-dried seeds had the highest alanine at ML and PM. Attached-dried seeds had lower MDA than detached-dried seeds. Expression of dhn was highest in freshly-harvested and attached-dried seeds at SD. Highest expression of wcor in the attached-dried seeds was detected at SD and HM. Drying the seeds within their spikes increased the expression of dreb gene compared with the freshly-harvested seeds, except at the HD stage. In conclusion, drying the seeds within their spikes enhanced seed germination in association with higher GABA, lower MDA, and higher gene expression.

High-pressure processing (HPP) is used as a non-thermal approach for controlling microbial viability. The purposes of this study were to (i) establish the decimal reduction times (D-values) for pathogenic bacteria during 350 MPa HPP treatment,; (ii) evaluate the impact of 350 MPa HPP on total plate count (TPC), yeasts and molds (YM), and lactic acid bacteria (LAB) in camel milk; (iii) investigate the behavior of several spoilage-causing bacteria during storage at 4 °C and 10 °C for up to 10 d post-HPP treatment; and (iv) assess the effect of HPP on the protein degradation of camel milk. The D-values for L. monocytogenes, E. coli O157:H7, and Salmonella spp. were 3.77 ± 0.36 min, 1.48 ± 0.08 min, and 2.10 ± 0.13 min, respectively. The HPP treatment decreased pathogenic microorganisms by up to 2 to 3 log cfu/mL (depending on treatment conditions). However, HPP reduced TPC, YM, and LAB by <1 log cfu/mL, regardless of the length of pressure exposure. HPP treatment, even at extended holding times, did not significantly alter either the proteolytic activity or casein micelle structure in camel milk. This study highlights HPP as a promising non-thermal technique for enhancing the microbiological safety of camel milk.