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Thermal comfort is usually calculated using discrete point measurements. This procedure is not suitable to study thermal comfort for inhabited areas with rugged terrains where climate gradient is high. The wide availability of remote sensing data and GIS tools has revolutionized data management, processing, and visualization. The present paper implemented digital elevation data, GIS tools, and a computational algorithm to generate spatially continuous maps of climatological elements which were employed to derive thermal comfort levels across Jordan. Results show detailed information of the spatial distribution of the degree of thermal comfort in winter and summer across the country which cannot be resolved using discrete point measurements. It is shown that most mountainous areas in the country, where most urban centers are situated, experience "slightly warm" to "warm" indoor apparent temperatures in summer in 50% of the diurnal cycle. The Jordan Valley and the desert experience high indoor apparent temperatures in summer with warm and hot conditions for the most part of the diurnal cycle. Cold conditions prevail over most parts of the country in winter, with the heating degree days ranging from 2200 in the southern mountains to values close to zero near the Dead Sea area. Mountainous and desert areas experience cold or very cold conditions in more than 75% of the diurnal cycle. The presented procedure demonstrated that the very low levels of ambient vapor pressure is an important atmospheric forcing contributing to the widespread cold conditions prevailing over the desert areas in winter. The efficiency of direct evaporative cooling systems to achieve thermal comfort in the various parts of the country is investigated. The procedure presented can be used over regional scales with different levels of spatial resolutions for a wide range of climatological studies. [ABSTRACT FROM AUTHOR]

Despite the prevalence of ambiguous citizenship policies that say one thing in law and another in implementing regulations, few studies have focused on systematically studying this type of implementation gap, particularly in contexts beyond North America and Europe. This largely has remained the case despite research on discursive policy gaps, which occur between a policy's stated objectives and its laws, efficacy gaps, which describe when a policy's outcomes fail to meet its goals, and compliance gaps, which reflect disparities between a state's commitments to international law and its corresponding domestic policies. How can we advance conceptualizations of law-regulation implementation gaps? This paper proposes one approach by focusing on the content of domestic laws, on the one hand, and the content of related implementing regulations, on the other. When law-regulation discrepancies occur, they illustrate the agency of senior officials in writing this intentional ambiguity into different levels of legislation, challenging assumptions about institutional weakness and lower-level bureaucratic discretion as chief drivers of implementation gaps. The paper illustrates this concept by analyzing discrepancies between Jordan's nationality and passports laws and their related implementing regulations, particularly regarding Gaza refugees' access to passports, investors' access to nationality, and Palestinian-Jordanians' subjection to nationality withdrawals. These diverse cases of intentional ambiguity demonstrate that such gaps can serve to partially exclude or include a group and can occur with noncitizen and citizen as well as more or less vulnerable groups. [ABSTRACT FROM AUTHOR]

The purpose of this research is to investigate the moderating role of corporate governance on the relationship between earnings management and debt level in capital structure. The paper used a hypothesis-testing research approach to gather data from the annual reports of 13 industrial companies listed on Palestine Exchange and 25 Jordanian companies listed on Amman Stock Exchange from 2013 to 2020. Descriptive and inferential statistics were employed, along with correlation analysis to evaluate linear relationships between variables. The fixed and random effect regressions were utilized to develop the research model. In the case of Palestinian manufacturing firms, the results revealed that Earnings Management (EM) had a significant negative impact on debt level. According to the moderating role of Corporate Governance (CG), larger boards and the existence of female members on the board of directors causes an increase in the high-leverage impact of EM, whereas CEO duality mitigates the high-leverage impact. However, in the case of Jordanian manufacturing firms, EM showed an insignificant impact on debt level. Regarding the moderating role of CG, it was proved that the presence of female members on the board of directors increased the firm's reliance on debt financing as a result of EM practices, while institutional investors mitigate the effect of EM on debt financing, leading to a decrease in reliance on debt. The findings of this research are suitable for the regulators while formulating policies on the Corporate Governance and the Impact of Earnings Management on Capital Structure. These findings have guided the policymakers that they should enhance their focus on Palestine and Jordan companies to test Corporate Governance Moderates the Impact of Earnings Management on Capital Structure. This study is also helpful for the new researcher while investigating this area in the future. [ABSTRACT FROM AUTHOR]

Electronic health records provide a vast amount of text health data written by physicians as patient clinical notes. The world health organization released the international classification of diseases version 10 (ICD-10) system to monitor and analyze clinical notes. ICD-10 is system physicians and other healthcare providers use to classify and code all diagnoses and symptom records in conjunction with hospital care. Therefore, the data can be easily stored, retrieved, and analyzed for decision-making. In order to address the problem, this paper introduces a system to classify the clinical notes to ICD-10 codes. This paper examines 7541 clinical notes collected from a health institute in Jordan and annotated by ICD-10's coders. In addition, the research uses another outsource dataset to augment the actual dataset. The research presented many approaches, such as the baseline and pipeline models. The Baseline model employed several methods like Word2vec embedding for representing the text. The model structure also involves long-short-term memory a convolutional neural network, and two fully-connected layers. The second Pipeline approach adopts the transformer model, such as Bidirectional Encoder Representations from Transformers (BERT), which is pre-trained on a similar health domain. The Pipeline model builds on two BERT models. The first model classifies the category codes representing the first three characters of ICD-10. The second BERT model uses the outputs from the general BERT model (first model) as input for the special BERT (second model) to classify the clinical notes into total codes of ICD-10. Moreover, Baseline and Pipeline models applied the Focal loss function to eliminate the imbalanced classes. However, The Pipeline model demonstrates a significant performance by evaluating it over the F1 score, recall, precision, and accuracy metric, which are 92.5%, 84.9%, 91.8%, and 84.97%, respectively. [ABSTRACT FROM AUTHOR]

The refugee crisis and the COVID-19 pandemic continue to negatively impact access to education, and especially disproportionately affect underserved communities. Apart from access, such communities experience additional barriers including inadequate classroom infrastructure and suitable localization of such infrastructure. This paper aims to provide an analytical framework to identify the most suitable locations for mobile classrooms for underserved communities, thereby mitigating the lack of access to equitable education for underserved communities. To construct the analytical framework, we conduct a critical literature review to conceptualize the educational needs of underserved communities. Next, we proposed parameters that may be applicable for determining locationally metrics that match the educational needs of underserved communities. On this basis, we explore tools and methods applicable for suitability analysis and developed a geo-information framework that integrates an analytical hierarchy process tool to prioritize parameters decision-makers can apply to identify optimal areas to locate classroom infrastructure. This framework was applied to a use case of determining suitable location areas for an innovative mobile classroom (EDUBox) in Jordan. Using the framework, we demonstrate its applicability by identifying appropriate locations adapted to the tertiary and vocational education needs of underserved persons including refugee communities. [ABSTRACT FROM AUTHOR]

The Jordan Valley's territorial extent is defined for this study as an elongated stretch of border area, located west of Jordan's boundary with the West Bank, Palestine. This region along with the West Bank was conquered by the Israeli Army during the June 1967 War and has been held by Israel since. Almost 88% of its 200,000 Palestinian population then living in the region were expelled and turned overnight into refugees in Jordan and elsewhere. In the subsequent 56 years since, the region, declared by Israel as a highly militarized zone, has often been discursively publicized as the front line of Israel's eastern defense. This paper seeks to refute such a notion that indirectly gave Israel justification to subject the remaining Palestinian inhabitants residing there (currently numbering ca. 60,000) to a harsh discriminatory regimen of surveillance and control under military occupation. At the same time, the Israeli government has over decades privileged the ca. 10,000 incoming Jewish settlers, now living in some 30 Israeli Jewish settlements in the Jordan Valley. Employing a grounded theory approach in our study provided an opportunity for the local Palestinians to have their voices heard, shedding needed analytical light on their difficult situation on the ground. [ABSTRACT FROM AUTHOR]

The increase in refugee numbers is an increasingly important concern globally. Many countries in different regions have been accommodating refugees by providing temporary shelters made from ineffective and inadequate materials to provide thermal comfort for refugees. However, the shelters provided are often inadequate solutions for shelter and neglect the social and cultural diversity of the refugees. Socio-cultural norms, practices and values are rarely considered in the design of shelters and this has an adverse impact on how refugees live in these spaces. Using insights from the Al Baqa'a refugee camp in Jordan as a case study, this paper uses a mixed-method approach to explore how the challenges of inadequate shelter has consequently led refugees to self-organize and create new socio-cultural spaces to adapt to the place. The findings suggest that historically, Al Baqa'a camp has reorganized by users due to social needs and climate challenges. When the camp was created in 1967, the inadequacy of the housing and infrastructure to provide comfort influenced refugees to self-organize and create adaptive spaces of comfort. However, over the decades, these spaces have evolved into spaces of enterprise, belonging and memory of their homeland. Therefore, this paper argues that refugee shelter design should have an integrated consideration of the climatic elements and the social and cultural aspects of refugees. The paper concludes with lessons learned drawn from the evidence to act as guideline for the consideration of official humanitarian organizations in other camps and local communities. [ABSTRACT FROM AUTHOR]

The prevalence of needy-students who cannot afford their university fees has become a phenomenon in countries like Jordan. Thus, supporting such students by establishing a reliable cloud-based platform for collecting donations from wealthy people is a very noble action. Such donations will enable needy-students to continue their education to up their development, reduce their poverty, improve their health, scale-up their gender equality, promote peace across their communities, enhance stability in their societies, and enrich the field of cloud-based services development. This paper proposes a new cloud-based platform that aims at connecting donors with needy-students in a very discrete way that preserves and honors the privacy and confidentiality of their information. We claim that our proposed cloud-based platform depicts a unique novelty that can be easily anticipated from the perspectives of its status as a cloud-based donations and financial support services platform; its ability to interconnect its users privately and confidentially; and its ability to easily verify the credentials of its users and confirm their eligibility to receive financial support. [ABSTRACT FROM AUTHOR]

Let Φ n (k) (x) be the kth derivative of the nth cyclotomic polynomial. We are interested in the values Φ n (k) (1) for fixed positive integers n. D. H. Lehmer proved that Φ n (k) (1) / Φ n (1) is a polynomial of the Euler totient function ϕ (n) and the Jordan totient functions and gave its explicit formula. In this paper, we give a quick proof that Φ n (k) (1) / Φ n (1) is a polynomial of them without giving the explicit form. In the final section, we deduce some curious congruences: 2 Φ n (3) (1) is divisible by ϕ (n) - 2 . Moreover, if k is greater than 1, then Φ n (2 k + 1) (1) is divisible by ϕ (n) - 2 k . The proof depends on a new combinatorial identity for general self-reciprocal polynomials over Z , which gives rise to a formula that expresses the value Φ n (k) (1) as a Z -linear combination of the coefficients in the minimal polynomial of 2 cos (2 π / n) - 2 . As a supplement, we show the monotonic increasing property of Φ n (x) on [ 1 , ∞) in two ways. [ABSTRACT FROM AUTHOR]

The applicability of the four-parameter (4P) kappa distribution to fit the annual maximum (AM) and the peak over threshold (POT) extreme precipitation series in the Amman Zarqa Basin (AZB), Jordan, is assessed. This paper presents a practical, easy-to-implement, yet accurate method in light of the method of L-moments for parameter estimation of 4P kappa. Based on the results from the data analysis of daily precipitation records during a period that exceeded 50 years at 23 weather stations, the 4P kappa distribution can fit the precipitation extremes for both the AM and POT series for each weather station well. The 4P kappa distribution can be employed in place of its three-parameter distributions typically selected for simulating precipitation extremes (i.e., generalized extreme value (GEV), generalized logistic (GLO) distribution for AM series, and generalized Pareto (GP) distribution for POT series). The bootstrap resampling for performance evaluation beyond the dataset length shows that the 4P kappa distribution outperforms its three special cases (GLO, GEV, and GP distributions) in the context of modeling the AM and POT series for all sampling sizes. Additionally, in representing the distribution's upper right tail quantile estimations, the 4P kappa distribution performed better and, in some circumstances, was comparable to its three special cases (GLO, GEV, and GP distributions). The outcomes of this study and the method employed should lay the groundwork for wider implementation of the 4P kappa distribution in hydrological and climate science applications, as well as in other disciplines. [ABSTRACT FROM AUTHOR]

Introduction: Academic integrity is the expectation that members of the academic community, including researchers, teachers, and students, to act with accuracy, honesty, fairness, responsibility, and respect. Academic integrity is an issue of critical importance to academic institutions and has been gaining increasing interest among scholars in the last few years. While contravening academic integrity is known as academic misconduct, cheating is one type of academic misconduct and is generally defined as "any action that dishonestly or unfairly violates rules of research or education. Case study: The case study presented in this paper describes the elements of academic misconduct in three Middle Eastern countries (Saudi Arabia, Egypt, and Jordan). Four categories of factors were analyzed, namely personal, cultural traits, contextual, and institutional. Moreover, a comparison of factors of misconduct is conducted in the three countries in order to examine how different learning environments and cultures can affect academic cheating. The study also investigates the role of teachers and administration system in enforcing integrity policy in educational institutes. Discussion and evaluation: An evaluation of the main causes of cheating and plagiarism among students in Saudi Arabia, Egypt, and Jordan is conducted by analyzing students' response to a 20 questions survey. The nonparametric Dunn's statistical analysis is performed to compare the variance and frequency of factors that may affect academic integrity. The significant results are reported in terms of the Krushal F statistic and p-value < 0.05. The evaluation was a useful process that demonstrated the main factors affecting academic integrity in the three countries. Conclusion: Survey results show that the role of individual social-demographic and culture factors are significant for predicting misconduct in Saudi Arabia and Egypt but not in Jordan. Most students blamed their misconduct on laziness and willingness to achieve higher education performance. Students are more likely to cheat and plagiarize because they lack the ability or information to tackle assignments. Results illustrate that the cultural impact can be a significant factor in academic misconduct. Integrity policies and the level, at which they have been applied, have a large impact on student attitudes towards cheating and their academic misconduct. [ABSTRACT FROM AUTHOR]

This paper presents a feasibility study of utilizing an on-grid photovoltaic (PV) system for electrification of Cedars hotel located in Amman in Jordan as a case study. The PV system has been designed, keeping in view the required electrical load and energy available from the sun in Jordan. The actual energy consumption of the hotel is estimated (444 MWh/year) for the design and simulation of the on-grid PV system using Photovoltaic Geographical Information System software (PVGIS) and photovoltaic software (PVsyst). The results showed that PV system required 912 panels distributed over 12 inverters, with a required area of 1757.3 m2. In addition, the on-grid PV system produced a total yearly energy of 541 MWh, with an average performance ratio of 0.828. The economic study for the proposed PV system showed that the system's payback period was 4.1 year. Moreover, life cycle savings (LCS) and levelized cost of energy (LCOE) analysis have been carried out. The LCS and LCOE of the system were found to be $51,493 and $0.0199 /kWh, respectively. Therefore, installing a proposed on-grid PV system on the Cedars hotel will save $38,718/year. It is concluded that an on-grid PV system is a technically and economically viable technology for the electrification of residential hotel applications. [ABSTRACT FROM AUTHOR]