Efficient Text Classification with Linear Regression Using a Combination of Predictors for Flu Outbreak Detection

Early prediction of disease outbreaks and seasonal epidemics such as Influenza may reduce their impact on daily lives. Today, the web can be used for surveillance of diseases.Search engines and Social Networking Sites can be used to track trends of different diseases more quickly than government agencies such as Center of Disease Control and Prevention(CDC). Today, Social Networking Sites (SNS) are widely used by diverse demographic populations. Thus, SNS data can be used effectively to track disease outbreaks and provide necessary warnings. Although the generated data of microblogging sites is valuable for real time analysis and outbreak predictions, the volume is huge. Therefore, one of the main challenges in analyzing this huge volume of data is to find the best approach for accurate analysis in an efficient time. Regardless of the analysis time, many studies show only the accuracy of applying different machine learning approaches. Current SNS-based flu detection and prediction frameworks apply conventional machine learning approaches that require lengthy training and testing, which is not the optimal solution for new outbreaks with new signs and symptoms. The aim of this study is to propose an efficient and accurate framework that uses SNS data to track disease outbreaks and provide early warnings, even for newest outbreaks accurately. The presented framework of outbreak prediction consists of three main modules: text classification, mapping, and linear regression for weekly flu rate predictions. The text classification module utilizes the features of sentiment analysis and predefined keyword occurrences. Various classifiers, including FastText and six conventional machine learning algorithms, are evaluated to identify the most efficient and accurate one for the proposed framework. The text classifiers have been trained and tested using a pre-labeled dataset of flu-related and unrelated Twitter postings. The selected text classifier is then used to classify over 8,400,000 tweet documents. The flu-related documents are then mapped ona weekly basis using a mapping module. Lastly, the mapped results are passed together with historical Center for Disease Control and Prevention (CDC) data to a linear regression module for weekly flu rate predictions. The evaluation of flu tweet classification shows that FastText together with the extracted features, has achieved accurate results with anF-measure value of 89.9% in addition to its efficiency. Therefore, FastText has been chosen to be the classification module to work together with the other modules in the proposed framework, including the linear regression module, for flu trend predictions. The prediction results are compared with the available recent data from CDC as the ground truth and show a strong correlation of 96.2%

Influences of functional, aesthetic, normative, and emotional dimensions of the country image on the popular support for the UAE foreign strategy among the arab community - Malaysia

The interests and priorities of the United Arab Emirates (UAE) foreign policy have always stemmed from objective circumstances related to its relations with the world and its strong ties with international parties to achieve a state of political stability and occupy a prominent position among the people of the world. The problem of the study deals with how the different dimensions of the image of the UAE can contribute to the emotional dimension of individuals and whether they affect their support for the foreign strategy of the United Arab Emirates among Arab residents in Malaysia. The study's main objective is to investigate the impact of the functional, aesthetic, normative and emotional dimensions of the state's image on popular support for the UAE's foreign strategy among the Arab community in Malaysia by studying the mediating role of the emotional dimension in his relationship. The study takes a quantitative approach because it focuses on objective measurements and statistical, mathematical and numerical analysis of data collected through questionnaires and surveys or the processing of pre-existing statistical data using computational techniques. A questionnaire was created from literary works and modified to suit the study conditions. The target sample size is 370 but the valid data set has 315 samplesthe results of the popular support variable show good predictive ability and great predictive importance. The model can explain 70.6% of the change in popular support for the external strategies adopted by the UAE towards the Arab community in Malaysia, which has a great relationship with the behavior of the UAE Ministry of Foreign Affairs towards its Arab nationals outside the country. The study reached many results, among other things, the most important of which is that the UAE occupies a strong position in the global economy and enjoys a very stable political system. In addition, the UAE possesses high moral standards concerning its relations with the world, which qualifies it to occupy a prominent position socially and politically in the international community. The UAE is also a country that respects the values and principles of other people

A Distributed Approach for Disk Defragmentation

تجزئة الملفات هي واحدة من مشاكل الحاسبة الالكترونية  في الجزء المخصص لخزن البيانات داخل الحاسبة (القرص الصلب) التي تحدث عندما يتم استبدال وحذف الملفات بصورة مستمرة. في هذا البحث  تم تصميم نموذج لتجميع اجزاء الملف الواحد الى مجموعة واحدة  في مكان واحد ويتم تنفيذ المهمة من قبل مجموعة من النمل وذلك باستخدام احدى خوارزميات الذكاء الاصطناعي المعروفة بمستعمرات النمل (Ant Colony) .الدراسة البحثية بينت قابلية النموذج للتطبيق في بيئة موزعة كما في انظمة الحوسبة السحابية لحل هكذا مشكلة.  تم عمل محاكاة للنموذج باستخدام بيئة النمذجة البرمجية (NetLogo).Fragmentation is a computing problem that occurs when files of a computer system are replaced frequently. In this paper, the fragments of each file are collected and grouped, thanks to ant-colony optimization ACO, in one place as a mission for a group of ants. The study shows the ability of ants to work in a distributed environment such as cloud computing systems to solve such problem.  The model is simulated using NetLogo

Flu Trend Prediction Using Social Media Network Data

Ali Al Essa's, Miad Faezipour's, Jeongkyu Lee's, and Gopala Duggina's poster using Hadoop and MapReduce programming to analyze Twitter data about influenza to analyze flu trends

Assessment of Knowledge Regarding Osteoporosis Among Female Medical Students at King Faisal University, Saudi Arabia

Introduction: Osteoporosis is a worldwide public health problem that affects both male and females. It is a silent progressive disorder that affects the skeletal system and leads to diminished bone density and fracture. Therefore, awareness, attitude, and practices of people about osteoporosis contribute significantly to primary prevention and early detection of disease. Objective: the present study conducted to assess the knowledge of the female medical students at King Faisal University about osteoporosis in Saudi Arabia. Study design: A cross-sectional study conducted at the medical college of King Faisal University at Al-Ahsa region, Saudi Arabia. The study included all female medical students at King Faisal University, through an online self-administered questionnaire using the Osteoporosis Knowledge Assessment Tool (OKAT) questionnaire. Results: The total number of participants was 176 female medical students, with 58.7% response rate. The age of participants ranged between 17 and 27 years, with a mean and standard deviation of 21.46±1.54 years. The participant's knowledge score about osteoporosis was as follow: 65.1% had satisfactory knowledge, 32.2% had poor knowledge, and only 2.3% of the participant had good knowledge. Conclusion: Most of the participants had a satisfactory knowledge score on osteoporosis. However, there was a significant gap in knowledge regarding the risk factors such as high salt intake. The good knowledge score was significantly low in the present study compared to worldwide. Therefore, an educational effort is needed to improve knowledge and the quality and reliability of information about osteoporosis targeted undergraduates and young females in Saudi Arabia

Developing Agent-Based Model for Colorization

 التلوين هو اضافة الالوان الى صور الابيض والاسود لتصبح صور ملونة. التلوين يجذب الباحثين لكونه يخدم كثير من التطبيقات مثل صفحات الويب ومعالجة الصور الطبية. ان حجم البينات المتوقع يفرض ان تكون العملية الية. في هذا البحث، تم تطوير طريقة مستوحاة من الانظمة الطبيعية لنقل الالوان من الصور الملونة الى الصور الرمادية. يمكن تنفيذ الخوارزمية المقترحة بسهولة في انظمة الحوسبة المتوازية او الموزعة. كما يمكن تطبيق النموذج على انواع متنوعة من الصور مع الحفاظ على خصائص الصور كالاضاءة والنسج. اظهرت الصور الناتجة امكانية تطبيق الاسلوب في مجالات متنوعة. تم اجراء محاكاة لطريقة الحل باستخدام بيئة النت لوكوColorization is adding colors to black and white images. Colorization attracts the interest of researchers as it serves wide are of applications such as web technology and medical images processing. The expected large dimensionality of source datasets, imposes the automation is mandatory. In this paper, a natural inspired solution is developed for automatic color transferring from colored to grayscale images. The proposed algorithm can be easily implemented in parallel and distributed environment. We show that our technique can be applied on broad image types, with preserving image features such as texture and luminance. The resulting images make our technique applicable in verity domains. The algorithm is simulated and result is presented using NetLogo tool

The Impact of the Efficiency and Effectiveness of Electronic Accounting Information Systems on the Quality of Accounting Information

The purpose of this study is to evaluate the influence of Efficiency of EAIS and Effectiveness of Electronic Accounting Information Systems on Accounting Information Quality. The total number of respondents in this survey was 168, with the bulk of them working as accountants in Jordanian enterprises. The quantitative analysis test, which comprises the validity test, reliability test, traditional assumptions test, and hypothesis test, is used during the data analysis process. The efficiency and effectiveness of electronic accounting information systems are independent factors in this study. The quality of accounting information is the studys dependent variable. The outcomes of this study reveal that the efficiency and effectiveness of EAIS have a significant or modest impact on the quality of accounting information. The (F) simoultant test and (t) partial findings reveal that the two independent variables have a significant point, confirming the hypothesis. As a result, it is commonly assumed that the efficiency and effectiveness of EAIS have an influence on the accounting information of Jordanian enterprises

Applying Structural Equation Model To Develop A New Model Of Happiness At The Workplace In Promoting Employee Happiness In Public Organization

Happiness at the workplace refers to how satisfied people are with their workplace and lives. Happy people are productive people while those people who are unhappy may not pay full attention to any task. Furthermore, employees in the public organizations in UAE are not well satisfied due to poor workplace conditions. In some ministries in UAE must equipment are not well maintained to ease the work of an employer. The main aim of this paper to develop a Model of happiness at the workplace in promoting employee happiness in public organization using structural equation Model. The data were obtained from the employee of Dubai Electricity and Water Authority in UAE. Since the population of this study is 11787 therefore, the sample size was 370. surveyed through the self-administered Google form and by posting. The data was screened, and out of the 370 questionnaires distributed, 260 were completed and were received. Analysis of Moment Structures (AMOS) in Structural Equation Modelling (SEM) confirmatory factor analysis (measurement and structural measurement models) were used to analyzed the data. Although this study has conceptualized the improving happiness at the workplace in promoting employee happiness in public organization. Additional research is needed among other states in UAE such Dubai. The motivational formulation of employee happiness, job involvement, work place climate and its impact on organizational performance is a point of future research

Health workers' adherence to occupational hazards preventive practices in Thi‑Qar Governorate, Iraq

Background: Workplace problems that are likely to increase the risk to our health are referred to as occupational hazards. These problems can be classified as either biological or non-biological. A wide range of these risks, including physical, chemical, and psychological ones, provide challenges for healthcare practitioners. Such risks therefore negatively affect employees, their families, friends, and the country. Objectives: The purpose of the study is to assess the level of adherence to preventive practices towards occupational hazards in the hospitals of Thi-Qar Governorate and its relationship to the demographic and occupational information of the healthcare workers. Methods: A descriptive cross-sectional study was carried out in hospitals Thi-Qar Governorate, During the period from September 5th, 2022 ending on February 10th, 2023, 355 of healthcare workers individuals participated in the study, and the data was collected using self-reported questionnaires and information about practices was collected through a systematic questionnaire developed by the researcher. Results: Regarding the preventive practice of the staff, the results observed that all responses regarding the present results reveal the highest percentage 41.7% of HCWs have a poor practices score, while the lowest percentage 20.8% of them have a moderate practices score. The mean ± SD of the overall practices score was (53.81±17.807) which rested within a moderate level (48-46 score). The results of this study indicate that there is a significant association between the overall practices score and socio-demographic variables (P. value <0.05),). This explained that the participants who age ≤ 25 years, Education level (Ph.D.), and have no chronic diseases, had higher good practices than other categories. Also, the results of this study indicate that there is a significant association between the overall practices score and occupation characteristics (P. value <0.05), This explained that the years of work (≥15 years), and, hours of work (≤5 hrs), had higher good practices than other categories. Conclusion: Most of the employees of the hospitals selected for the sample in Thi-Qar Governorate have “Moderate” commitments to safety measures with regard to occupational hazards in their surrounding workplaces, The study showed that years of experience, time of work and educational level have a significant impact on practices towards occupational hazards in hospitals

Methylphenidate improves executive functions in patients with traumatic brain injuries : a feasibility trial via the idiographic approach

Background: Road traffic accidents are known to be the main cause of traumatic brain injury (TBI). TBI is also a leading cause of death and disability. This study, by means of the idiographic approach (single-case experimental designs using multiple-baseline designs), has examined whether methylphenidate (MPH - trade name Ritalin) had a differential effect on cognitive measures among patients with TBI with the sequel of acute and chronic post-concussion syndromes. The effect on gender was also explored. Methods: In comparison with healthy controls, patients with TBI (acute and chronic) and accompanying mild cognitive impairment (MCI) were screened for their integrity of executive functioning. Twenty-four patients exhibiting executive dysfunction (ED) were then instituted with the pharmacological intervention methylphenidate (MPH). The methylphenidate was administered using an uncontrolled, open label design. Results: The administration of methylphenidate impacted ED in the TBI group but had no effect on mood. Attenuation of ED was more apparent in the chronic phases of TBI. The effect on gender was not statistically significant with regard to the observed changes. Conclusions: To our knowledge, this is the first feasibility trial from the Arabian Gulf to report the performance of a TBI population with mild cognitive impairment according to the IQCODE Arabic version. This investigation confirms anecdotal observations of methylphenidate having the potential to attenuate cognitive impairment; particularly those functions that are critically involved in the integrity of executive functioning. The present feasibility trial should be followed by nomothetic studies such as those that adhere to the protocol of the randomized controlled trial. This evidence-based research is the foundation for intervention and future resource allocation by policy- or public health decision-makers