Tracking abundant gene transcripts quantification over continuous cancer progression stages may reveal the mechanism of disease advancement. In this work, we profile the transcript quantification over the stages using a time-series approach, in which the stages/sub-stages of the disease are the time points, and the quantification measurements are the values. The values over time points are used to interpolate the growth of the progression using the cubic spline function. Then, the transcripts profiles are universally aligned and clustered using the time-series profile hierarchical clustering method based on the area between each pair of the aligned profiles; the method is named (HC-UAP). We compare the proposed method with a hierarchical clustering method based on Euclidean distance (HC-ED). Both methods were applied on two next-generation sequencing (NGS) prostate cancer datasets, the first from the Chinese and the second from the North American population. HC-ED clusters the dataset to find patterns while HC-UAP was able to single out outliers that trend differently in both datasets. While finding patterns in gene expression that trend over stages is the standard approach for analyzing time-series models, identifying outlier transcripts that grow differently than other transcripts can provide more details about the contribution of the mRNA transcriptional activity to the disease. They also can be a potential biomarker for the disease progression.

The primary aim of this research is to provide a comprehensive understanding of the role played by entrepreneurial accounting practices in mitigating information disparities, as perceived by employees within the realm of Jordanian financial intermediaries. This role is encapsulated in various components, including accounting systems and policies, international financial reporting standards, international external auditing standards, international internal auditing standards, as well as professional and ethical conduct guidelines. In pursuit of our research objectives, we adopted two distinct methodological approaches. Firstly, a descriptive analytical approach was employed, involving the development of a structured questionnaire to gather primary data pertaining to the assessment of independent variables associated with entrepreneurial accounting practices. The second approach encompassed an applied perspective, seeking to gauge the impact of entrepreneurial accounting practices on reducing information asymmetry. This was achieved by examining the financial statements of insurance companies listed on the Amman Stock Exchange for the period spanning 2016 to 2022, thereby constituting our dependent variable. Rigorous statistical techniques were employed to meticulously analyze the collected data, with the validation of our hypotheses achieved through a comprehensive multiple regression analysis. The findings of this study distinctly underscore the pivotal role played by entrepreneurial accounting practices in ameliorating information asymmetry issues within the corporate economic landscape. A robust and statistically significant correlation emerged between our dependent variable, namely the reduction of information asymmetry, and both the independent variables associated with entrepreneurial accounting practices and their inherent characteristics. This study's significant recommendation extends beyond the mere technical dimensions of accounting, encompassing a call for a holistic reevaluation of the accounting profession. Addressing the enduring phenomenon of information asymmetry among stakeholders is not merely a concern confined to the technical aspects of accounting. Rather, it represents a profound professional and ethical crisis that permeates the entire accounting ecosystem. This crisis emanates from the very foundations and legal frameworks of the profession, extends through accounting standards, and encompasses professional conduct and ethics. Ultimately, it concludes with the supervision and oversight of the quality of professional performance, an obligation shared by accountants, certified auditors, and management alike.

This study aims to examine the impact of environmental accounting on corporate social responsibility in industrial companies listed on the Amman Stock Exchange. A quantitative approach was employed, utilizing a questionnaire to verify this impact. The results indicated a strong and positive relationship between environmental accounting practices and corporate social responsibility. These findings call for serious measures to embrace environmental accounting practices in industrial companies, as they have the potential to enhance professional development and overall corporate performance. Decision-makers in this context are advised to take steps towards integrating environmental accounting concepts, as this move can contribute to increased productivity and success within these organizations, considering the challenges of our rapidly changing and interconnected world.

The study aimed to examine the effects of accounting technology improvements on the generation of accurate and reliable financial reports in the public sector of Jordan. In order to carry out this inquiry, the researchers set research goals and formulated null hypotheses that were derived from these objectives and afterwards used in the study. The study used an ex-post facto survey methodology as its research technique. The study sample included 250 persons employed at the Ministry of Finance in Jordan. The research included a sample size including 152 people. A questionnaire was used as the primary tool for data collection in this study. The validity of the instrument was established by an evaluation conducted by experts specialising in the field of testing and measurement. The evaluation of the instrument's dependability was performed using the Cronbach Alpha reliability approach, yielding a reliability coefficient ranging from 0.73 to 0.85. The findings of this research demonstrate that the instrument has a significant level of dependability. The data obtained from the surveys underwent analysis using the Pearson Product-Moment Correlation (PPMC) and regression analysis approaches. The present study offers empirical data and affirms the growing significance of financial reporting in the global economic landscape. Ensuring unwavering trust in the financial information pertaining to the public sector has considerable significance for investors. The article proposes that the establishment of a comprehensive framework of guidelines for enterprises' information technology infrastructure would be advantageous for regulatory bodies, such as the Jordan Central Bank. The aim of this method is to reduce the potential danger of the public sector being overwhelmed by outdated technology.

The goal of this study was to find out how entrepreneurship self-concept, work motivation, and risk taking on human resource department performance and business overall performance at Jordan private universities. To test the study's assumptions, 311 samples from the research study were taken, looked at, and argued about. Entrepreneurship, self-concept, work motivation, and risk taking were all found to affect the success of both human resource department performance and business overall performance. The first factor was the self-concept, which can be seen in self-esteem, self-image, and self-identity. The second most important factor is work motivation, which includes intrinsic motivation, extrinsic motivation, goal setting and orientation. Risk taking is the third and final important factor. It includes participants' risk tolerance, their perception of risk, and their outcome expectations. The study found that helping employees to understand their job nature and how they can do it, increasing the motivation on job work, and increasing the employees’ demands for taking risks can improve performance ratio in human resource department, and that having an organizational structure that encourages teamwork and work teams can improve the ability to solve problems and improve work performance, which in turn affects overall productivity. This study adds new information to a new area that needs more research to fully understand how workload, work pay, and organizational structure pressures all affect each other. This study's topic, Jordan private universities, is both new and important because it could help scientific private universities to improve how they run and give better education output.

The aim of this research was to investigate the impact of various work-related factors, such as task load, workers’ compensation, and organizational structure community on job success and the overall performance of the Jordan tourism board. The researchers conducted an analysis of 269 randomly selected samples from their study and discussed their findings to validate their hypotheses. The study revealed that factors like compensation levels, organizational structure, community, and task load significantly influence individual and organizational success. The first aspect examined was the task load, which was assessed by considering factors such as job completion rates, daily challenges faced, and the time required for tasks. Work-related compensation, encompassing factors like experience, skill, incentives, and rewards, emerged as the second most crucial factor after working hours. The third and most vital component to consider was the organization structure community, which includes communities of practice, collaborative efforts, and physical infrastructure. According to the research findings, improving employee performance can be achieved by reducing their task load, increasing work income, and developing the organization community that fosters teamwork and the formation of workgroups. These elements collectively impact overall productivity. The study provides valuable insights into an underexplored area, shedding light on how task load, compensation, and organizational structure community interplay. The research's focus on the Jordan tourism board is particularly significant, as it has the potential to help tourism companies enhance their operations and provide superior service to their customers.

This research sought to assess how Jordan's corporate environment affected corporate performance. The population is made up of (182) businesses. Using simple random sampling, 384 respondents from companies listed on the Amman Stock Exchange were given questionnaires as part of a quantitative approach. To confirm the correlations between the variables, the data were analyzed using AMOS; the study relied on the descriptive analytical method. The study's most notable findings demonstrated that corporate environmental performance had a favorable and considerable impact on corporate performance.

In this descriptive analytical study conducted within the Jordanian Customs Department, the influence of Customs Intelligence and Risk Management on Sustainable Supply Chain practices and their subsequent effects on Customs Department Logistics were investigated. Data collected through a structured questionnaire distributed to department employees were analyzed using Smart PLS-4. The findings revealed that Customs Intelligence significantly shapes Sustainable Supply Chain practices, emphasizing the importance of data driven decision-making in achieving sustainability goals. Effective Risk Management strategies were found to positively contribute to Sustainable Supply Chain initiatives, highlighting the symbiotic relationship between risk mitigation and sustainability. Sustainable Supply Chain practices, in turn, were demonstrated to enhance the efficiency of Customs Department Logistics. Furthermore, the study unveiled that Sustainable Supply Chain acts as a mediator, enhancing the impact of both Risk Management and Customs Intelligence on Logistics outcomes. These findings collectively underscore the intricate dynamics of these factors in the context of the Jordanian Customs Department, providing valuable insights for optimizing logistics operations, ensuring compliance, and fostering sustainability. This paper contributes valuable insights and empirical evidence to the fields of customs-related logistics, risk management, sustainable supply chain management, and logistics operations within the Jordanian Customs Department. The paper provides recommendations that have the potential to inform and improve logistics practices, benefiting stakeholders in both the public and private sectors and advancing the understanding of these critical dynamics in the broader logistics and supply chain management discipline.

As supply networks become more complex and international, the task of controlling associated risks becomes more difficult. This article investigates the usefulness of risk alert technologies in supply chain management, with a focus on Big Data Analytics (BDA) and Artificial Intelligence (AI). The study investigates the impact of BDA capabilities, solid IT infrastructure, managerial views, and AI-apprehensions on the effectiveness of risk alert tools using a questionnaire-based survey of 420 managerial personnel and Structural Equation Modeling (SEM) via SMART PLS. The work proposes the concept of AI-Apprehensions as a moderating variable, which is a relatively unexplored field. According to the findings, while BDA capabilities and IT infrastructure considerably improve the effectiveness of risk alert tools, AI-apprehensions can negate these advantages. The study provides useful insights for policymakers and practitioners, emphasizing the importance of balancing technical and human components for effective risk management.

In this investigation, we looked at how employee training affects how well employees perform on the job as well as whether organizational culture influences this connection in any way or not. 166 workers from Yarmouk College and the Jordanian University of Technology and Sciences made up the sample. The hypotheses were investigated using SmartPLS (PLS4). The outcomes of this study demonstrated that staff training significantly affects workers' ability to do their jobs. Moderation analysis revealed that for people with a greater degree of training perspective, there existed a stronger correlation between employee training and affective job performance among workers. In conclusion, this shows that providing advanced instruction to people will motivate them and that organizations will create an environment which is favorable and will result in an improvement in employee work performance.