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%

Single electron transfer reactions of 2,2,2-trichloro-1-aryl-ethanones and development of tracelessly removable bioconjugation reagents

PhD ThesisIraqi Ministry of Higher Education and Scientific Research (IMHESR) and University of Basra

Software simulation for the study of the fiber optic properties and its impact on the output power

The planning fiber optic properties are one of the important fields in fiber optic communication systems. In this article a software simulation proposed to study the main properties of single mode fiber and impact on the output power. This is because fiber optics has many advantages, including a small transmission loss, so it is used for high-speed data transmission. Dispersion is the main factor limiting performance. By simulating an optical communication device model and using the system's most suitable settings that include power inputs (dB), the length of the optical cable (km) and attenuation coefficient (dB /km) which belongs to the fiber optics, different parameters were calculated in this project, including the recipient's decibel energy. From the monitors at the end of transmission link like as (OTDV, OSA, and WDM Analyzer) the overall system behaviors show good result

Finite element prediction of deformation mechanics in incremental forming processes

This thesis presents new insights into gaps in the knowledge of conventional spinning and single point incremental forming (SPIF) processes through numerical modelling of their deformation mechanics. The deformation mechanics of conventional spinning is investigated by constructing finite element (FE) models of a cylindrical cup using both single and dual roller passes. A design of experiments (DOE) technique is used to generate an experimental plan based on all the relevant process parameters, followed by an analysis of variance (ANOVA) approach which is then used to determine the most critical parameters. The results indicated that the area in which most of the plastic deformation is taking place changes during the subsequent passes. The deformation mechanics of SPIF is investigated by constructing a novel dual-level finite element model of the forming of a truncated cone. The first-level FE model is validated against experimental data and the second level FE model is used to investigate the deformation modes through the sheet thickness. DOE and ANOVA techniques are used to investigate the influence of the different process parameters on the predicted through-thickness shear. Simple strategies are applied to reduce the geometrical errors without affecting the process flexibility. The results of the second-level FE model indicated that through-thickness shear is an important component in the deformation mechanism in SPIF.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

COUPLED LAGRANGE-EULER MODEL FOR SIMULATION OF BUBBLY FLOW IN VERTICAL PIPES CONSIDERING TURBULENT 3D RANDOM WALKS MODELS AND BUBBLES INTERACTION EFFECTS

Una nueva aproximación euleriana-lagarangiana, en su forma de acople en dos vías, para la simulación de flujo de burbujas, agua-aire es presentada en la tesis, en la que se incluyen los efectos de las colisiones entre burbujas, así como las posibles roturas o coalescencia de burbujas. Esta aproximación utiliza el modelo Continuous Random Walk, CRW, para tener en cuenta las fluctuaciones de la velocidad. Esta aproximación se enmarca dentro de un modelo de turbulencia k-epsilon para la fase continua del líquido. En esta tesis se estudiarán los métodos para realizar el acople entre ambas aproximaciones, el efecto de la fuerza lift y de la dispersión turbulenta sobre la distribución de la fracción de huecos, así como los modelos de coalescencia y rotura de burbujas que puedan ser empleados en este tipo de aproximación. Se ha partido de un código euleriano para simular la parte continua, y sobre él se ha acoplado la aproximación lagrangiana. Para que ese acople afecte a la fase continua sobre su solver ser han añadido fuentes de momento y turbulencia. Además se ha modificado el volumen computacional de cada celda para que tenga en consideración el volumen ocupado por la fase dispersa. El acople en doble vía hace que los perfiles de velocidad y turbulencia de la fase continua se modifiquen notablemente y que se aproximen a los reales, lo que resulta básico para la correcta simulación de las fuerzas interfaciales. La colisión entre burbujas, y burbujas y pared se ha incluido. Este efecto es necesario como paso previo a incluir los procesos de rotura o coalescencia de burbujas, aunque la colisión en sí tenga efectos limitados en la distribución de la fracción de huecos. El proceso de coalescencia se basa en el modelo de Chester ( 1991 ) , el modelo compara el tiempo de colisión con el tiempo de drenaje de la película entre burbujas para determinar si existe o no coalescencia. El modelo de rotura se basa en el modelo de Martínez-Bazán. Uno de los principales hitos deAli Abd El Aziz Essa ., M. (2012). COUPLED LAGRANGE-EULER MODEL FOR SIMULATION OF BUBBLY FLOW IN VERTICAL PIPES CONSIDERING TURBULENT 3D RANDOM WALKS MODELS AND BUBBLES INTERACTION EFFECTS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/18068Palanci

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

Choice of law in respect of agency relationships in the European Union and the United Arab Emirates

Agency contracts differ from other contracts since they involve a triangular relationship among three parties: a principal, an agent and a contractor. This relationship is further divided into an internal relationship between the principal and the agent and two external relationships, one between the principal and the contractor, and the other between the agent and the contractor. Differences between various laws exist both in the substantive rules and the choice of law rules applicable to these relationships. This thesis addresses these choice of law problems, with reference to English law, the Rome I Regulation, the Hague Convention 1978, and the UAE Civil Code. With respect to agency contracts in internal law, there are important differences in the substantive rules adopted by different legal systems, particularly between those of civilian law and common law. These differences, in turn, have concequences in private international law. Moreover differences between various laws exist also in the choice of law rules applicable to these relationships. Thus this thesis addresses these choice of law problems in respect of the three agency relationships, with reference to English law, the Rome I Regulation, the Hague Convention 1978, and the UAE Civil Code. Since the UAE legislation does not contain any provision specifically addressing the question of which law governs the agency relationships, and the Rome I Regulation has excluded from its scope the question of whether an agent is able to bind a principal, this thesis endeavours to identify the best solution to the various choice of law problems which may arise in connection with the three agency relationships. In the final chapter the solutions identified are embodied in a draft bill, designed to amend the UAE Civil Code, as well as a draft proposal to add provisions to the Rome I Regulation

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

CRISPR-mediated technology for seed oil improvement in rapeseed: Challenges and future perspectives

Rapeseed not only provide considerable amount of edible oil with high nutritional properties but can also be used as a raw material for biofuel production in many industries. It is therefore in high demand to bring genetic changes in order to fulfill the need of human and of industries. Though traditional breeding techniques such as hybridization and mutagenesis remained the top methods for long time to create improved varieties in oilseed rape. Clustered regularly interspaced short palindromic repeats (CRISPR) is becoming one of the most valuable gene editing technologies that allow precise genome engineering, and open new ways for research in plant functional genomics. Though CRISPR has been used in many other crops for genetic improvement it is expected to be an effective tool for genome editing and molecular design in oilseed rape for seed oil improvement. This mini review will discuss and summarize the past and ongoing research and development in rapeseed in terms of seed oil improvement and fatty acid composition using CRISPR technology. In addition, the factors that hinder the efficiency of this tool and how to eliminate those factors will be briefly summarized. The improvement of CRISPR technology for getting better results in oilseed rape will also be considered here. This minireview will open new windows for researchers in Brassica napus oil improvement research and genetic improvement using CRISPR technology