Yarmouk University
  • Irbid, Jordan
Recent publications
This study aims to determine to investigate the relationship between ESG disclosure and bank value measures in Islamic banks listed on ASE in the period 2013 to 2019. The independent variable is Environmental, Social, and Governance Disclosure (ESGD) and the dependent variables are the banks’ value measures (ROA, ROI, EPS, M/B). This study using two control variables as leverage and board size. The findings deduced the empirical results that there is a significant impact of ESGD on Firms Value, and the disclosure of governance in Islamic banks is better.
Background Accumulating evidence has shown that radiofrequency radiation (RFR) emitted by mobile phones is a potential factor for DNA damage. Whether RFR affects the gene expression of human genes still requires further research. This may help in understanding the mechanisms of action of this radiation. On the assumption that expression of BAMBI and Survivin in the oral squamous epithelial cells might be modified in response to RF electromagnetic field (RF-EMF) exposure, the current study was conducted on a group of young university student volunteers. Results Statistical analysis of the RT-PCR data indicated that no significant association ( P value ˃ 0.05) exists between the expression of either gene , and neither the length of history nor the frequency of the phone use. Conclusions Although no clear RF-EMF signature on gene expression could be detected in this in this preliminary study, it is one of the few studies indicating that molecular-level changes might take place in humans in response to chronic mobile phone EMR exposure. Further investigations in this field are warranted.
This study examines the time-varying frequency spillovers and connectedness between U.S. sector stock markets and both crude oil and gold and their implications on portfolio management. Using the methodology of Diebold and Yilmaz (2012) and Baruník and Křehlík (2018), the results show that oil, gold, financials, utilities, communications services, consumer staples (at short term), and health care are net receivers of spillovers in the system, and the remaining sectors are net contributors regardless of the frequencies. The extent of spillover reduces when both gold and oil assets are added to sector portfolio. Furthermore, the connectedness among markets is heterogeneous and depends on time horizons and market conditions. Oil offers a higher hedging effectiveness in both the short and long term as well as over different turbulent periods compared to oil. The hedging effectiveness is higher in the long term compared to the short term.
Prostate cancer is one of the most common health hazards for men worldwide, specifically in Western countries. Rapid prostate cancer screening by analyzing the prostate-specific antigen present in male serum has brought about a sharp decline in the mortality index of this disease. Immunoassay technology quantifies the target analyte in the sample using the antigen-antibody reaction. Immunoassays are now pivotal in disease diagnostics, drug monitoring, and pharmacokinetics. Recently, immunosensors have gained momentum in delivering better results with high specificity and lower limit of detection (LOD). Nanomaterials like gold, silver, and copper exhibit numerous exceptional features and their use in developing immunosensors have garnered excellent results in the diagnostic field. This review highlights the recent and different immunoassay techniques used to detect prostate-specific antigens and discusses the advances in nanomaterial-based immunosensors to detect prostate cancer efficiently. The review also explores the importance of specific biomarkers and nanomaterials-based biosensors with good selectivity and sensitivity to prostate cancer.
This study examines the multiscale links between economic policy uncertainty (EPU) and sectoral stock returns in China, India, the UK, and the US. We find that the impact of domestic EPU on sectoral returns persists at low frequencies and over the full sample period, especially in the financial sectors of China, the UK, and the US. The combined impact of domestic and US EPU endures the longest in the UK and China over a 16–32 month horizon. We also observe a high Sharpe ratio (low Value-at-Risk; VaR) in the presence of considerable US EPU that flips across sectors. During rising US EPU, the portfolio optimization exercise suggests weighting Chinese and Indian sectors higher. Finally, the VaR exercise produces identical portfolio diversification benefits in the equally weighted global and China stocks portfolios.
One of the key ways to improve energy storage performance is to use advanced materials and elements in building coatings. Dense exterior walls with high thermal insulation properties and absorbent and heat-retaining elements can be made by intelligently combining products to store latent heat based on PCMs. In the present study, the thermal behaviour of glass in the presence of PCM (Decane) has been investigated by molecular dynamics simulation. In this paper, the atomic behaviour of the structure is investigated by temperature and density profiles. And the thermal behaviour of the simulated structure is investigated by heat flux and thermal conductivity. The numerical results show that the maximum density and temperature in fluid particles are 0.09643 atom/ų and 1067.51 K. The structure's heat flux and thermal conductivity reach 650.27 W/m² and 0.74 W/m.K, respectively. In general, the use of phase-change materials can prevent energy loss, reduce energy costs, and while changing the phase of materials, quickly has a positive effect on the appearance of the building (as a result of beauty and performance, which are an integral part) Will leave.
The integration of television screens to become a new media interaction is one of the most significant shifts that technology has brought us. Today, Social TV is a developed source of communication, education, and entertainment through interactive platforms. This study examines the factors influencing Social TV acceptance among Generation Z in Jordan. We employed a cross-sectional design and obtained data from n = 304 respondents. Findings attained from Structural Equation Modelling revealed that different factors (e.g., personal beliefs, attitude towards behaviour, and intention towards behaviour) predicted respondents' attitudes and behaviour regarding Social TV behavioural acceptance. However, attitude towards behaviour was not linked to subjective norms, with the latter not correlated with intention towards behaviour. The proposed mediation role of perceived ease-of-use and usefulness had significant influence, indicating how Social TV acceptance is deeply associated with respondents' new behavioural patterns and habits. Thus, we conclude that in terms of explaining human behaviour, the role of motivational factors in accelerating one's intention, and their impacts, is a complex phenomenon.
The state of the art of artificial intelligence (AI) for various medical imaging applications leads to enhanced accuracy, analysis, visualization, and interpretation of chest X-ray (CXR) images for diagnosis. Many diseases are diagnosed based on CXR images. In this paper, two types of abnormalities are diagnosed based on AI techniques. The two classes are atelectasis and cardiomegaly. The acquired images are segmented to localize the chest region and then enhanced using gray-level transformation methods. The enhanced images are passed to two pretrained convolutional neural networks (CNNs): shuffle and mobile net. The transfer learning approach is utilized in this stage. The automated features are extracted from the last fully connected layer. Each CNN deserves to have the two most representative features for the two classes. These four features are passed to support the vector machine classifier. The training accuracy reached 100% and the test accuracy was 96.7%. The proposed method can be extended to be a milestone in the classification of all heart-lung diseases that can be diagnosed using chest X-ray images.
This study attempts to provide empirical evidence on the real motivation of CEOs to engage in corporate social responsibility. Based on the Agency and Stakeholder theories, the power of each component in the CEO compensation structure is employed. Moreover, a corporate governance index was developed to test how engagement in CSR activities affected CEO compensation in different governance practices. This study employs panel data analysis, utilizing 44 Jordanian industrial companies over the period 2010–2018. The main estimation method used in the present study was the generalized least square random effect (GLS). The findings of this paper revealed that an increase in CSR activities was accompanied by an increase in the CEO cash component compensation. Furthermore, this positive relationship was found to be more pronounced in firms with weak corporate governance, and thus supported the overinvestment hypothesis suggested by agency theory. These findings are robust under the dynamic panel estimator generalized method of moments (GMM) and using different measures of CSR. Our results implied important insights, showing that increasing CSR in the absence of effective monitoring facilitated CEOs’ self-seeking behavior that eventually may harm corporate value.
In recent years deep learning models improve the diagnosis performance of many diseases especially respiratory diseases. This paper will propose an evaluation for the performance of different deep learning models associated with the raw lung auscultation sounds in detecting respiratory pathologies to help in providing diagnostic of respiratory pathologies in digital recorded respiratory sounds. Also, we will find out the best deep learning model for this task. In this paper, three different deep learning models have been evaluated on non-augmented and augmented datasets, where two different datasets have been utilized to generate four different sub-datasets. The results show that all the proposed deep learning methods were successful and achieved high performance in classifying the raw lung sounds, the methods were applied on different datasets and used either augmentation or non-augmentation. Among all proposed deep learning models, the CNN–LSTM model was the best model in all datasets for both augmentation and non-augmentation cases. The accuracy of CNN–LSTM model using non-augmentation was 99.6%, 99.8%, 82.4%, and 99.4% for datasets 1, 2, 3, and 4, respectively, and using augmentation was 100%, 99.8%, 98.0%, and 99.5% for datasets 1, 2, 3, and 4, respectively. While the augmentation process successfully helps the deep learning models in enhancing their performance on the testing datasets with a notable value. Moreover, the hybrid model that combines both CNN and LSTM techniques performed better than models that are based only on one of these techniques, this mainly refers to the use of CNN for automatic deep features extraction from lung sound while LSTM is used for classification.
The essential oils from flowers and leaves of P. incisa and P. crispa were extracted using two methods, hydro-distillation (HD) and solid phase micro-extraction (SPME). The essential oils were analyzed using GS-MS whilst their contents were quantitatively determined using GC-FID. The analysis revealed the following: For P. incisa, SPME oils from flowers and leaves were dominated by oxygenated monoterpenes (cis-verbenol, 2E-octene and E-caryophyllene from flowers and thymoquinone, methyl-γ-ionone and butylated hydroxyanisole from leaves). Comparatively HD oils were dominated by phenolic compounds (butylated hydroxyanisole, 7-epi-α-Eudesmol and methyl-γ-ionone from flowers and leaves). For P. crispa, SPME oils from flowers were dominated by oxygenated monoterpenes (crysanthenone, cis-thujopsenic acid and Z-jasmone) and those from leaves were dominated by oxygenated sesquiterpenes (7-epi-α-eudesmol, 11-acetoxyeudesman-4-α-ol and cembrene). Comparatively, the oxygenated monoterpenes crysanthenone, p-cymene-8-ol and 2,6-dimethyl phenol were determined in the HD oils from flowers, while crysanthenone, p-cymene-8-ol and vanillin were identified in those from leaves. The essential oils extracted from flowers and leaves P. incisa and P. crispa showed good antioxidant as well as anticancer activities.
Background Mayer-Rokitansky Küster-Hauser syndrome MRKHS represents class I of congenital Müllerian anomaly, which resulted from interruption of embryonic development of the paramesonephric ducts in early pregnancy. It is characterized by uterine and proximal vaginal aplasia/hypoplasia associated with variable degree of cardiac, renal, and skeletal anomalies. We aimed to review and analyze clinically and radiologically MRKHS relying on three young sisters’ cases who presented with primary amenorrhea and were found to have features of MRKHS. Case presentation Three sisters aging 17, 20, and 25 years old presented with primary amenorrhea. Clinical workup was performed followed by ultrasound and MRI of the abdomen and pelvis, spine X-ray, audiogram, echocardiogram, hormonal study, and karyotyping. The three sisters had normal sex hormones and mature secondary sexual characteristic features. Additionally, cardiac valvular regurgitation and renal hypoplasia were recognized. Cytogenetic confirmed normal female 46 XX karyotype. MRI showed variable size and appearance of Müllerian remnant tissue of the uterus and proximal vagina. Conclusion MRKHS shows variable size and appearance of Müllerian remnant structures; however, it seems that the smaller the volume of remnant tissue the more severe associated anomalies. Associated valvular cardiac disease is documented, which was not reported before.
Barth syndrome (BTHS) is a rare X-linked genetic disease caused by mutations in TAFAZZIN. The tafazzin (Taz) protein is a cardiolipin remodeling enzyme required for maintaining mitochondrial function. Patients with BTHS exhibit impaired mitochondrial respiratory chain and metabolic function and are susceptible to serious infections. B lymphocytes (B cells) play a vital role in humoral immunity required to eradicate circulating antigens from pathogens. Intact mitochondrial respiration is required for proper B-cell function. We investigated whether Taz deficiency in mouse B cells altered their response to activation by anti-cluster of differentiation 40 (anti-CD40) + interleukin-4 (IL-4). B cells were isolated from 3–4-month-old wild type (WT) or tafazzin knockdown (TazKD) mice and were stimulated with anti-CD40 + IL-4 for 24 h and cellular bioenergetics, surface marker expression, proliferation, antibody production, and proteasome and immunoproteasome activities determined. TazKD B cells exhibited reduced mRNA expression of Taz, lowered levels of cardiolipin, and impairment in both oxidative phosphorylation and glycolysis compared to WT B cells. In addition, anti-CD40 + IL-4 stimulated TazKD B cells expressed lower levels of the immunogenic surface markers, cluster of differentiation 86 (CD86) and cluster of differentiation 69 (CD69), exhibited a lower proliferation rate, reduced production of immunoglobulin M and immunoglobulin G, and reduced proteasome and immunoproteasome proteolytic activities compared to WT B cells stimulated with anti-CD40 + IL-4. The results indicate that Taz is required to support T-cell-dependent signaling activation of mouse B cells.
Multi-response optimization problems investigation is a crucial element in initiatives designed to enhance quality and overall productivity for manufacturing processes. Since no particular algorithm can be employed for all multi-response problems, defining the method that is utilized as a problem-solving technique is a vital step in the process factors optimization. Identifying a formal procedure of implementing the improvement approach in a multi-criteria decision-making problem is a critical need to ensure the consistency and sustainability of the enhancement methods. In this study, a Plan–Do–Check–Act (PDCA) framework is implemented for a case study in the food industry under which a multi-response optimization problem is investigated. The design of experiment (DOE) is used to examine the effect of process parameters on the quality responses by using the Taguchi method to find the optimal setting for each parameter. An orthogonal array (OA) and signal-to-noise (SNR) ratio is employed to investigate the performance characteristics. Each performance characteristic is then converted into a signal-to-noise ratio, and all the ratios are then fed into a fuzzy model to produce a single comprehensive output measure (COM). The average COM values for various factor levels are calculated, and the level that maximizes the COM value for each factor is identified as the optimal level. Results indicated the effectiveness of the applied method to find the optimal factor levels for the multi-response optimization problem under study. The global optimal factor levels that are driven from the fuzzy logic for the studied parameters are 1250, 40, 7.5, and 1:2, for the speed, frying time, cooking time, and the coating ratio, respectively. Means of all the studied quality characteristics were closer to the target values when compared with the initial factors’ settings.
Introduction: Despite decades of research, obesity and its related medical complications remain a major health concern globally. Therefore, novel therapeutic strategies are needed to combat obesity and its numerous debilitating complications. Resveratrol (RES) has a potential therapeutic effect in obesity and diabetes by improving oxidative metabolism and insulin signaling. Background and Objectives: The aim of this study was to investigate the effect of RES treatment on weight loss and glucose and fatty acid metabolism. Methods: Obesity was induced in 24 mice by exposure to a high-fat diet (HFD) for 8 weeks. Mice were randomly assigned to one group of either: group 1: control, non-treated low-fat diet (LFD) for 12 weeks (n = 8), group 2: non-treated high-fat diet (HFD) for 12 weeks (n = 8), group 3: RES-treated HFD (HFD + RES) (n = 8), or group 4: RES-treated and switched to LFD (HFD-LFD + RES) (n = 8). HFD + RES mice were first fed an HFD for 8 weeks followed by 4 weeks of RES. The HFD-LFD + RES group was first fed an HFD for 8 weeks and then treated with RES and switched to an LFD for 4 weeks. Results: After 12 weeks, group 2 mice had significantly higher body weights compared to group 1 (23.71 ± 1.95 vs. 47.83 ± 2.27; p < 0.05). Group 4 had a significant decrease in body weight and improvement in glucose tolerance compared to mice in group 2 (71.3 ± 1.17 vs. 46.1 ± 1.82 and 40.9 ± 1.75, respectively; p < 0.05). Skeletal muscles expression of SIRT1, SIRT3, and PGC1α were induced in group 3 and 4 mice compared to group 2 (p < 0.01), with no changes in AMP-activated protein kinase expression levels. Furthermore, combination of RES and diet ameliorated skeletal muscle intermediate lipid accumulation and significantly improved insulin sensitivity and secretion. Conclusions: The results of this study suggest a synergistic beneficial effect of LFD and RES to lower body weight and enhance glucose and fatty acid metabolism.
The COVID-19 pandemic increases the reliance on video conferencing applications for learning. Accessible video conferencing applications with good learning features can help people with visual impairment when they participate in online classes. This paper investigates the accessibility limitations and the available learning features of the top two current video conferencing applications, namely Zoom and MS Teams. A task-based expert review and a blind user evaluation are conducted using Web Content Accessibility Guidelines 2.1. In addition, the study identifies the application with the better learning features based on Universal Design for Learning guidelines. A set of recommendations are outlined for developing better inclusive video conferencing applications for people with visual impairment. The presented ideas can be applied to enhance the learning experience of people with visual impairment.
Stem cell therapy has recently progressed from the preclinical to the early clinical trial arena for a variety of diseases. Moreover, the medical students lack the deep and full understanding of its significance and potential as the promising future cure for diverse diseases worldwide. This study aims at evaluating the knowledge, awareness, and perception of medical students as far as stem cells applications are related in the medical field. A cross‐sectional survey was carried out using online questionnaires, which were distributed via e‐mail to cover all medical faculties in Jordan. The data show that medical students are supportive of using stem cells and their therapeutic applications, and most of them are willing and enthusiastically want to improve their knowledge about stem cells; however, due to the tight schedule and the lack of an elective course about stem cells in the curriculum, many of them are not ready to undergo further training in regenerative medicine unless it becomes part of the assigned training and part of the learning objectives for medical students. These findings indicated the need to update the medical school curriculum with new hits in medicine and expand the range of courses offered for medical students so they can be up‐to‐date with the quick advances in different medical disciplines.
The purpose of this study is to investigate the moderating effect of slack resources (namely, profitability and cash holdings) on the relationship between corporate social responsibility disclosure (CSRD) and firm market value. The authors test the hypothesis through performing panel data analysis for a sample of 95 non-financial Jordanian firms listed on the Amman Stock Exchange from the period 2011 to 2016. Content analysis was employed to evaluate the level of CSRD based on an index of 42 items and four themes. While the findings show no significant relationship between CSRD and firm market value, higher slack resources were found to positively moderate this relationship. The outcomes therefore suggest that slack resources accentuate the effect of CSRD on firm market value. The use of Jordanian firms is distinctive and provides valuable insight into contexts in which the market tends to place less weight on a firm's CSR activities.
Rationale: Cellular angiofibroma (CA) is a rare tumor of the soft tissue classified as a benign fibroblastic/myofibroblastic tumor. Considering this, the literature regarding CA mainly, but not exclusively, comprises single case reports and case series. Here, we report a case of giant CA of the vulva with comprehensive literature review. Patient concerns: We present a case of a massive vulvar CA arising in 53-year-old woman with no notable medical or surgical history. The mass has grown considerably over time, causing pain and difficult urination, defecation, and movement. The patient had normal regular menstrual cycle with no previous contraception use. Vaginal examination exposed a right-sided large tender vulvar mass with normal-looking vagina. Diagnoses: Pelvic magnetic resonance imaging with contrast revealed a large right vulvar heterogeneously enhancing soft tissue mass measuring 13.1 × 10.9 × 10.7 cm expending the left vulva, with internal and peripheral voids resembling feeding vessels. The mass was surgically removed, and subsequent histopathology showed skin-covered dermal-based lesion composed of fibroblast-like bland and spindle cell proliferation with thin-walled blood vessels of various sizes. Immunohistostaining of CD34 and smooth muscle antigen were both positive, while desmin was found to be negative. A diagnosis of vulvar angiofibroma was made based on the clinical scenario, imaging, and histopathology. Interventions: Mass vulvectomy was performed starting with a circumferential incision at the base of the mass and structural dissection to separate the mass from the vulvar wall. The incision was successfully closed, and subcuticular stitches were applied to the skin. Outcomes: The patient's complaints were significantly relieved with no postoperative complications and the patient is being followed regularly in an outpatient setting. Lessons: Due to its extremely benign nature of CA, and the implausible ability of its recurrence, it was decided to surgically excise it. Despite its rarity, it can be readily identified at its earlier stages preventing the vexing and exasperating symptoms accompanied with increased size as mentioned.
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4,543 members
Amjad Al-Nasser
  • Department of Statistics
Ahmed Musa
  • Department of Communication Engineering
Waleed al momani
  • Basic medical sciences, Faculty of medicine
Emad Al-Shawakfa
  • Department of Information Systems
Muhammad Bawaaneh
  • Department of Physics
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Address
Shafiq Ershidat, 211-63, Irbid, Jordan
Head of institution
Prof. Nabil Hailat
Website
http://www.yu.edu.jo
Phone
+962-2-7211111
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+962-2-7274725