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In a recent paper of Philcox, Goodman and Slepian, the solution of the elliptic Kepler's equation is given as a quotient of two contour integrals along a Jordan curve that contains in its interior the unique real solution of the elliptic Kepler's equation and does not include other complex zeroes. In this paper, we show that a similar explicit integral solution can be given for the hyperbolic Kepler's equation. With this purpose, we carry out a study of the complex zeros of the hyperbolic Kepler's equation in order to define suitable Jordan contours in the integrals. Even more, we show that appropriate elliptic Jordan contours can be defined for such integrals, which reduces the computing time. Moreover, using the ideas behind the fast Fourier transform (FFT) algorithm, these integrals can be approximated by the composite trapezoidal rule which gives an algorithm with spectral convergence as a function of the number of nodes. The results of some numerical experiments are presented to show that this implementation is a reliable and very accurate algorithm for solving the hyperbolic Kepler's equation. [ABSTRACT FROM AUTHOR]

The purpose of this study paper is to examine Jordan's mineral development and investment policies. Mining policies that attract foreign investment must handle both traditional investor concerns and some new challenges. The paper delves deeply into issues such as a country's geological, political, financial, regulatory, operational, fiscal, social, and environmental characteristics, as well as profit and marketing factors. After analyzing these criteria for Jordan, they were compared to the MENA region in order to provide insights into potential changes and improvements to both the MENA and Jordan mineral policies. International investors have not been drawn to Jordan's mineral resource sector for a number of reasons, including—but not limited to—a lack of digitally available and accessible geological data, lack of access to finance exploration projects, an unfavorable legal and fiscal environment, lack of many of the best practices for transparency standards, and lack of awareness and promotion of Jordan's mineral potential among international businesses. For Jordan to improve its standing in the world for investing in mining, it needs effective mining regulations, effective regulatory agencies, very lenient foreign investment laws, highly competitive tax system, enormous geologic potential, highly qualified personnel, exceptional local expertise and skills, modern infrastructure, and stable political and economic systems. [ABSTRACT FROM AUTHOR]

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]

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]

This study addresses two distinct but interwoven questions on the link between spirituality and religion in the lives of Syrian Muslim refugee parents. (1) How do religious and spiritual convictions impact these refugees and their families? (2) How do these convictions shape Syrian Muslim refugee parents' own positionality as caregivers and as individuals? We distinguish religious convictions as ones entrenched in the practice of organized religion (e.g., prayer and fasting), and spiritual convictions as ones associated with the frame of reference inspired by religion (e.g., embedded references to God and/or the Prophet Muhammad peace and blessing be upon him). This paper is focused on qualitative findings from 16 Syrian refugee parents (15 mothers and 1 father) and their individual families. While the study began as a pilot for an intervention program focused on early childhood education among refugee children in Jordan, it became overwhelmingly clear that the refugee parents' individual senses of parenthood, responsibility, and aspiration for their children's futures are inextricably linked to their spiritual and religious convictions. Highlights: Explores the importance of faith and spirituality in the context of refugee parenting and early childhood development. Provides insight into how refugee parents speak about their faith and spirituality in the context of their migration experiences, aspirations for their children, and as an extension of their own development. Based on a qualitative study with 16 Syrian caregivers in Jordan. Argues for the need to include awareness of and sensitivity to Islamic religious and spiritual practices in the design of interventions and programs concerning Muslim refugee children. [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]

This paper seeks to explore why women's participation in the Jordanian workforce remains comparatively low—despite an increase in the number of employed women across many countries and regions. Focusing on the Jordanian private sector, where the greatest disparities lie, we assess the conformity between the provisions that regulate family-related rights in the workplace within national labour law and international law. From this examination, we conclude that whilst law offers the potential for significant positive change in the Jordanian labour market, and notwithstanding the labour law reforms which took place between 2000 and 2020, the underlying structure of the existing laws is inimical to the goal of women's full participation. Using a women's rights perspective, we argue that, instead of piecemeal reform, the labour law sphere must be revised as a whole to better accommodate respect for women's needs in the workplace. This change must be underpinned by family-friendly legislation, which, as our study shows, is a key factor in alleviating some of the major challenges facing women workers. [ABSTRACT FROM AUTHOR]

This paper set out an automatic multicategory damage detection technique using convolutional neural networks (CNN) models based on image classification and features' extraction, to detect damages of historic structures such as: erosion, material loss, color change of the stone, and sabotage issues. The city of "Al-Salt" in Jordan was selected for the case study in this research. The best model showed an average damage detection accuracy of 95%. It was demonstrated that the proposed CNN model was significantly powerful, effective and reliable for damage detection of historic masonry buildings using features' extraction based on imaging, and it contributed to the management and safety of historic heritage and preservation. [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]

Let n ≥ 1 be a fixed integer and R be a ring with involution ' ∗ '. For any two elements x and y in R, the n-skew Lie product and n-skew Jordan product are given by ▿ [ x , y ] n = ▿ [ x , ▿ [ x , y ] n - 1 ] with ▿ [ x , y ] 0 = y , ▿ [ x , y ] 1 = ▿ [ x , y ] = x y - y x ∗ , ▿ [ x , y ] 2 = x 2 y - 2 x y x ∗ + y (x ∗) 2 and x ⋄ n y = x ⋄ (x ⋄ n - 1 y) with x ⋄ 0 y = y , x ⋄ 1 y = x ⋄ y = x y + y x ∗ , x ⋄ 2 y = x 2 y + 2 x y x ∗ + y (x ∗) 2 . The purpose of this paper is to characterize Jordan left ∗ -centralizers satisfying certain functional identities involving skew Lie product and skew Jordan products. In particular, it is proved that if R is a 2-torsion free prime ring with involution of the second kind admits a non-zero Jordan left ∗ -centralizer T such that ▿ [ x , T (x) ] n ∈ Z (R) (n = 1 , 2) for all x ∈ R , then T (x) = λ x ∗ for all x ∈ R , where λ ∈ C , the extended centroid of R. We also characterize Jordan left ∗ -centralizers of prime rings with involution via skew Jordan product. [ABSTRACT FROM AUTHOR]

Landslides are a geological phenomenon that is causing considerable economic and human losses annually in various regions of the world. In some cases, the complex behaviors of some such phenomena cause that single machine learning models fail in modeling them well. To overcome this issue, this paper presents two novel genetic-algorithm (GA)-based ensemble models constructed with the decision tree (DT), k-nearest neighbors (KNN), and Naive Bayes (NB) models based on the bagging and random sub-space (RS) methods for landslide susceptibility assessment and mapping in Ajloun and Jerash governorates in Jordan. Sixteen factors, including topographic, climatic, human, and geological factors were used as possible factors that influence landslide occurrence in the study area. In addition to this, one hundred and ninety two landslide locations were employed for training and testing the models. The GA was used in this study for feature selection based on three models: DT, KNN, and NB. Model performance evaluation based on the area under the receiver operating characteristic (AUROC) curve indicated that the ensemble models outperform the standalone ones. The values of the AUROC curves in the validation phases for the five models, namely, the GA-based DT, KNN, NB, bagging-based, and RS-based ensemble model, were 0.63, 0.69, 0.63, 0.89, and 0.95, respectively. The results of this study suggest that simple models can be combined using the bagging and RS methods to produce integrated models that have higher accuracy than that of any of the individual simple models. [ABSTRACT FROM AUTHOR]

Adaptability of an effective access network in optical code division multiple access domain requires an efficient coding scheme which has the abilitiy to provide required communication capacity in terms of cardinality, reach, and data rates. In this paper, an extensive study and investigation has been carried out for adaptability study of a well-known coding scheme diagonal eigenvalue unity (DEU) code at various date rates in passive optical network (PON) environment. DEU code design is based on Jordan block matrix with ideal in-phase cross correlation (IPCC) properties. The numerical and simulation results show the ability of DEU code in supporting synchronized transmissions at different data rates that suits triple play services of video, audio and data (VAD). An algorithm is developed to determine the required chip duration that matches a particular service. It shows that data rate is more influential than code length on pulse duration especially for video applications. In support of the proposed algorithm, 5 Gb/s, 2.5 Gb/s, and 1.25 Gb/s data rate transmissions have been validated for various simultaneous users. In addition, a Poisson's distribution analysis is carried out aiming to study different bit rate scenarios with ad hoc population network. Results have concluded that higher value of average rate of simultaneous users (σ) is preferable for low data rate whereas the lower value of σ is suitable to the higher data rates in accordance with network population. In particular, for video streaming, the traffic running in a continuous fashion requires the highest transmission priority and small value of σ. [ABSTRACT FROM AUTHOR]

This paper concerns test matrices for numerical linear algebra using an error-free transformation of floating-point arithmetic. For specified eigenvalues given by a user, we propose methods of generating a matrix whose eigenvalues are exactly known based on, for example, Schur or Jordan normal form and a block diagonal form. It is also possible to produce a real matrix with specified complex eigenvalues. Such test matrices with exactly known eigenvalues are useful for numerical algorithms in checking the accuracy of computed results. In particular, exact errors of eigenvalues can be monitored. To generate test matrices, we first propose an error-free transformation for the product of three matrices YSX. We approximate S by S ′ to compute Y S ′ X without a rounding error. Next, the error-free transformation is applied to the generation of test matrices with exactly known eigenvalues. Note that the exactly known eigenvalues of the constructed matrix may differ from the anticipated given eigenvalues. Finally, numerical examples are introduced in checking the accuracy of numerical computations for symmetric and unsymmetric eigenvalue problems. [ABSTRACT FROM AUTHOR]

For general complex or real 1-parameter matrix flows A(t)n, n and for static matrices A ∈ ℂ n , n alike, this paper considers ways to decompose matrix flows and single matrices globally via one constant matrix similarity Cn, n as A(t) = C− 1 ⋅ diag(A1(t),...,Aℓ(t)) ⋅ C or A = C− 1 ⋅diag(A1,...,Aℓ) ⋅ C with each diagonal block Ak(t) or Ak square and their number ℓ exceeding 1 if this is possible. The theory behind our proposed algorithm is elementary and uses the concept of invariant subspaces for the MATLAB eig computed 'eigenvectors' of one associated flow matrix B(ta) to find the coarsest simultaneous block structure for all flow matrices B(tb). The method works efficiently for all time-varying matrix flows A(t), be they real or complex, normal, with Jordan structures or repeated eigenvalues, differentiable, continuous, or discontinuous in t, and likewise for all fixed entry matrices A. Our intended aim is to discover unitarily diagonal-block decomposable flows as they originate in real-time from sensor given data for time-varying matrix problems that are unitarily invariant. Then, the complexities of their numerical treatments decrease by adopting 'divide and conquer' methods for their diagonal blocks. In the process, we discover and study k-normal fixed entry matrix classes that can be decomposed under unitary similarities into various k-dimensional block-diagonal forms. [ABSTRACT FROM AUTHOR]

To be in the competitive industrial world, industries required high quality, speed in completing the required work, and commitment to the delivery dates. One of the most important issues in the field of production management is the job shop scheduling problem (JSSP). In this paper, the researchers tried to solve JSSP of factory by presenting a method to improve the factory's production. Job shop scheduling (JSS) is a suitable method for solving these types of problems, which aims to improve the production flow through minimizing the whole operation time of the products. Moreover, considering the factory that depends on workers as same as machine, human factor should be considered while scheduling by using the workers' weightage, in order to improve the workers' working time flexibility in terms of their waiting time among their tasks by proposed model of JSS. In addition, the researchers proposed a new combination of weightage values by using Taguchi method, regarding to improve the workers' working time and using genetic algorithm (GA) to solve the proposed model of JSS. One of the factories which is located in Jordan, and it is considered as one of the important factories; nevertheless, it can cover the local demands hardly, and hence, it deserves to be as a study case for this research. The findings of the studies decreased the whole operation time of the products by saving 75 min for each production line and 90 min by using GA, and the proposed model improved the flexibility of the workers' working time in terms of their waiting times among their tasks. [ABSTRACT FROM AUTHOR]

The use of Electronic cigarettes (E-cigarettes) has considerably expanded especially among adults. This paper highlights the behavior regarding E-cigarettes uses among adult males in Jordan. Moreover, we studied the electronic cigarette devices, the electronic cigarette liquids used in them, and the health-related complaints associated with e-smoking. Among smokers, we studied the association between E-cigarette use and their interest in smoking cessation. A questionnaire-based study regarding electronic cigarette prevalence and awareness among Jordanian individuals was conducted with a total sample size of 1536 participants. The questionnaire was distributed using Facebook and WhatsApp social groups. In this study, we included data of a total of 254 adult male participants after excluding non-E-cigarettes smokers, female smokers, and male smokers younger than 18 years old from the previously published study (Electronic Cigarettes Prevalence and Awareness among Jordanian Individuals) to describe electronic smoking behavior among adult males in Jordan. We described smoking behavior, electronic smoking technologies and materials, source of knowledge, and believe regarding electronic smoking among participants. A total of 254 E-cigarette smokers have participated in this study. 104 participants (40.9%) were found to smoke both traditional and electronic cigarettes, 111 (43.7%) quit traditional cigarette smoking and switched to E-cigarettes, and 39 (15.3%) individuals are exclusively e-smokers. More than half of the participants (n = 144; 56.7%) believe E-smoking is not addictive, and 213 (83.8%) suppose that the overall health effects attributable to E-smoking are less severe and not as serious as those related to traditional smoking. The use of E-cigarettes increased both nationally and globally in the past few years and is considered an emerging modality of smoking among non-smokers. Social media and other internet websites are the main sources of knowledge regarding E-cigarettes. Health-related issues and addiction are thought to be less than traditional smoking in considerable percentages of E-smokers. A more comprehensive conception of E-smoking patterns in Jordan is required to approach this phenomenon. Health authorities in collaboration with governmental policymakers are obligate to adopt strict recommendations to control the promotion of E-smoking through social media and other internet websites to limit its distribution among people especially youths. [ABSTRACT FROM AUTHOR]