Diagnosis of COVID-19 from X-rays Using Recurrent Neural Network

Nearly two years ago, the COVID-19 pandemic caused by the SARS-CoV-2 virus has caused drastic changes in many aspects of life at many levels in the world, and this has affected peoples lifestyles. This impact was particularly significant and impactful on the health sectors, among many others. The COVID-19 virus has essentially increased the demand for treatment, diagnosis and testing. The definitive test for diagnosing COVID-19 is reverse transcriptase polymerase chain reaction (RT-PCR); nevertheless, chest x-ray is a quick, effective and inexpensive diagnosis to detect possible pneumonia associated with COVID-19. In this study, the feasibility of using a deep learning-based Recurrent Neural Network (RNN) classifier to detect COVID-19 from CXR images is investigated. The proposed classifier consists of an RNN, trained by a deep learning model. The RNN identifies abnormal images that contain signs of COVID-19. The experiment used in the study employed 286 COVID-19 samples from the Kaggle Repository. The proposed technique is compared with the decision tree algorithm in order to prove the efficiency of the proposed one. The results revealed that the accuracy of the RNN was 97.90%, with a low data loss rate of 2.10%, while the decision tree accuracy was 75.8741%, and a relatively high data loss rate of 24.1259%. These results support the usefulness of the proposed deep learning-based RNN classifier in pre-screening patients for triage and decision-making before RT-PCR data are available

A mobile portal for pharmaceutical services

This paper initiated to develop a WAP based ordering system. The paper extends the existing WEB enabled sales order capability to include a WAP service. Sales Representative Place the customer order during the customer visit to reduce time to order from second day to instant. Reduce paper work and costs associated with the recording of sales orders. In the Pharmacist Convenience to order, to check his /her account balance anytime anywhere, Get info on promotional items, and place orders

J2ME-Based Mobile Virtual Laboratory for Engineering Education

A mobile virtual laboratory is developed to help students perform virtual experiments using mobile devices to make it possible for teaching to be conducted anytime anywhere. In addition, resources and equipment can be integrated and shared efficiently where an environment is created to promote learning interests and efficiency by using mobile devices via the Internet and the GPRS telecommunication networks. Java wireless communication technologies were used in the design which implements a multi-tier architecture in order to integrate different fields of technology. The ultimate objective is to improve the scalability of the system and to allow for the use of Scalable Vector Graphics which makes it possible for developers to create interactive graphical content, with the ability to zoom and resize on displays with different resolutions and aspect ratios

A Mobile Portal for Pharmaceutical Services

This paper initiated to develop a WAP based ordering system. The paper extends the existing WEB enabled sales order capability to include a WAP service. Sales Representative Place the customer order during the customer visit to reduce time to order from second day to instant. Reduce paper work and costs associated with the recording of sales orders. In the Pharmacist Convenience to order, to check his /her account balance anytime anywhere, Get info on promotional items, and place orders

Outcome of patients with pulmonary embolism admitted to the intensive care unit

<b>Background:</b>Pulmonary embolism (PE) is an important cause of in-hospital mortality. Many patients are admitted to the intensive care unit (ICU) either due to hemodynamic instability or severe hypoxemia. Few reports have addressed the outcome of patients with PE; however, none were from ICUs in the Middle East. <b> Objectives:</b>To describe the demographics, clinical presentation, risk factors and outcome of patients with PE admitted to the medical ICU and to identify possible factors associated with poor prognosis. <b> Materials and Methods:</b>Data were collected retrospectively by reviewing the records of patients admitted to the medical ICU with primary diagnosis of PE between January 2001 and June 2007. Demographic, clinical, radiological and therapeutic data were collected on admission to ICU. <b> Results:</b> Fifty-six patients (43&#x0025; females) with PE were admitted to the ICU during the study period. Their mean age was 40.6 &#x00B1; 10.6 years. Seven patients (12.5&#x0025;) had massive PE with hemodynamic instability and 15 (26.8&#x0025;) had submassive PE. The remaining patients were admitted due to severe hypoxemia. Recent surgery followed by obesity were the most common risk factors (55.4 and 28.6&#x0025;, respectively). Four patients with massive PE received thrombolysis because the remaining three had absolute contraindications. Fatal gastrointestinal bleeding occurred in one patient post thrombolysis. Additionally, two patients with massive PE and five with submassive PE died within 72 h of admission to the ICU, resulting in an overall mortality rate of 14&#x0025;. Nonsurvivors were older and had a higher prevalence of immobility and cerebrovascular diseases compared with survivors. <b>Conclusions:</b> The mortality rate of patients with PE admitted to the ICU in our center was comparable to other published studies. Older age, immobility as well as coexistent cerebrovascular diseases were associated with a worse outcome

Trends and Challenges for Mobile Learning in Jordan

The present state of mobile learning in Jordan isinvestigated in order to provide a meaningful direction forthe future development of university eEducation in Jordan.The strengths of mobile learning are elaborated and itscurrent status including challenging issues from theperspective of cognitive learning is addressed. An onlinesurvey was conducted to investigate the expectations andperceptions of mobile learning amongst university studentsand professors in Jordan and a number of countries in theMiddle East. Various factors that may contribute to theestablishment of mobile learning in educational institutionswere investigated and expectations concerning the impact ofmobile technologies on teaching and learning were explored.The results reflect on the fundamental needs for effectiveimplementation of mobile learning from the view ofcognitive science, instead of technological evolution