Comparison of AIA and FIDIC Construction Contracts with an equivalent Egyptian contract

Precisely drafting the infrastructure construction contract is a way to ensure the success and continuity of the project without any complications, and through which the rights and duties of each party involved in the project are determined. International standard contract conditions such as FIDIC and AIA contribute significantly to reducing disputes between the parties; yet, due to the absence of a standard construction contract in Egypt, the infrastructure construction industry became more complicated in recent years and contractual commitments are often not carried out in a good faith. This research aims to highlight the major causes of contractual conflicts that may be addressed in infrastructure construction projects and to compare and analyze the Egyptian Construction Contract (ECC), International Federation of Consulting Engineers (FIDIC), and American Institute of Architects (AIA) construction contracts for the clauses that cause disputes in the Egyptian infrastructure construction contract in order to improve, develop, and enhance the ECC as well as overcome the obstacles that hinder the development of infrastructure construction projects, leading to an increase in the chances of achieving basic project success indicators (cost, time, quality, and safety)

Modular Approach to Machine Reading Comprehension: Mixture of Task-Aware Experts

In this work we present a Mixture of Task-Aware Experts Network for Machine Reading Comprehension on a relatively small dataset. We particularly focus on the issue of common-sense learning, enforcing the common ground knowledge by specifically training different expert networks to capture different kinds of relationships between each passage, question and choice triplet. Moreover, we take inspi ration on the recent advancements of multitask and transfer learning by training each network a relevant focused task. By making the mixture-of-networks aware of a specific goal by enforcing a task and a relationship, we achieve state-of-the-art results and reduce over-fitting

Risk factors for Autistic Spectrum Disorders at Assiut City

Autism is a neurological disorder characterized by qualitative impairments in social interaction, qualitative impairments in communication, and restricted repetitive, stereotyped patterns of behavior, interests, and activities. Autistic Spectrum Disorders are relatively common without known etiology can be found in 80-90% of cases. The aim of this study is to recognize the risk factors for Autistic Spectrum Disorders at Assiut City. The study was descriptive research design; it was conducted in all autism centers at Assiut city which includes 7 centers and included 47 parents who agree to participate in this study selected by convenient sample. The study included a structured interview sheet; this sheet divided into two parts Socio demographic characteristics, and parent’s knowledge about risk factors of Autism. The main findings of the study are: male represent a higher prevalence (72.3%) rate of autism than females (27.7%), and autistic children were more prevalent among families living in urban areas (80.9%) than rural (19.1%). The present study clears that (63.8%) of the fathers and 61.7% of the mothers had university level, the majority (85.1%) of autistic parents’ children hadn’t consanguinity degree while only (14.9%) from them had consanguinity from first degree (cousin), the vast majorities (97.9%) of studied children haven’t family history of autism; the present study found that all mothers of studied children hadn't any history of rubella, diabetes, thyroid and infectious diseases while only (4.3%) were exposed to eclampsia. The study recommended that, increase of public awareness about the risk factors of autism and its prevention by community leaders, mass media, and others especially at rural area. The curriculum of medicine and nursing faculties should include the Autistic Spectrum Disorder (risk factors, diagnosis and different treatment methods). Further studies should be conducted and gained a lot of attention for Autistic children and their parents. Key wards: Autism - Autism Spectrum Disorders – Risk factor

MHD Flow of a Micropolar Fluid past a Stretched Permeable Surface with Heat Generation or Absorption

This work considers steady, laminar, MHD flow of a micropolar fluid past a stretched semi-infinite, vertical and permeable surface in the presence of temperature dependent heat generation or absorption, magnetic field and thermal radiation effects. A set of similarity parameters is employed to convert the governing partial differential equations into ordinary differential equations. The obtained self-similar equations are solved numerically by an efficient implicit, iterative, finite-difference method. The obtained results are checked against previously published work for special cases of the problem in order to access the accuarcy of the numerical method and found to be in excellent agreement. A parametric study illustrating the influence of the various physical parameters on the skin friction coefficient, microrotaion coefficient or wall couple stress as well as the wall heat transfer coefficient or Nusselt number is conducted. The obtained results are presented graphically and in tabular form and the physical aspects of the problem are discussed

Deep learning para processamento de linguagem natural : extração de significado em redes sociais

Trabalho de Conclusão Curso (graduação)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2017.O Processamento de Linguagem Natural é uma área de intenso crescimento e interesse acadêmico, principalmente com as recentes evoluções nas capacidades computacionais disponíveis. Devido ao enorme número de exceções, nuances e complexidades de língua, a exploração automática de significados em textos não é uma tarefa trivial. Em ambientes modernos como redes sociais, essa problemática é amplificada, já que a informação, em geral, se encontra de maneira não-estruturada. Entretanto, a partir do uso de redes neurais artificiais, é possível criar aplicações inteligentes que possuem a capacidade de avaliar informação textual automaticamente. Esse projeto explora três diferentes áreas dentro da interseção de Deep Learning e Processamento de Linguagem Natural. Para cada uma dessas áreas, uma rede social diferente foi escolhida e os diferentes parâmetros comparados. O processo de aprendizado de análise sentimental da rede IMDB se mostrou superior às metas estabelecidos, chegando a 85% de acurácia. Na aplicação de normalização de perguntas da rede social Quora, mesmo sem benchmarks estabelecidos, foram comparados diferentes modelos para a avaliação de normalização. Por fim, a aplicação de um chatbot, a partir de informações do Twitter e de conjuntos de dados pré-estabelecidos, mostrou-se interessante, porém longe ainda de um modelo que de fato pode ser confundido com um ser humano.Natural Language Processing is one of the fastest growing areas of computer science, spe- cially with the recent evolution of computational processing techniques and equipments. Due to the tremendous amount of exceptions, rules and complexities, the automatic ex- ploration of meaning in textual information is a nontrivial task. Social networks usually add another layer of complexity to the problem, due to the high level of unstructured data available. However, artificial neural networks are usually a great tool to derive meaning from unstructured information. This project intends to explore three different areas on the intersection between Deep Learning and Natural Language Processing. For each area, a different application was built, using a different social network as background. The Sen- timental Analysis model built with IMDB data was superior than the Kaggle benchmark, reaching 86% of accuracy. The model for the question normalization task of Quora, even without pre-established benchmarks, were compared between different vector-comparison strategies. Finally, a chatbot application, using Twitter and public data sets, had inter- esting results, but still far from a human-like model

Quality of Life and obesity among Female Employee at Assiut University

Egypt is one of the countries where the problem of obesity has been nearing an epidemic level. Currently, nearly 70% of adult women and 48% of men in Egypt are overweight or obese. This matter should be taken seriously because it can burden the health care system and lower the quality of life. Aim of the study: To identify the relationship between quality of Life and obesity among female employee at Assiut University. Subject and Method: descriptive correlation design was utilized to carry out this study. Sample: The studied sample was consisted of 1000 female. Data were collected by using three tools; the first tool is self administered questionnaire includes socio-demographic characteristics of the studied sample. The second tool was an Anthropometric Measurements (weight, height and BMI) and the third tool was the World Health Organization Quality of life (WHOQOL-BREF). Results: the mean age was 36.97 ± 10.80. There was statistical significant difference between Socio-demographic characteristic such as age, marital status, educational level and obesity, also BMI effect on the three QOL domains (physical, psychological and social) while there was no significance differences with environmental aspects of QOL. Conclusion: Obesity has a negative effect on QOL among obese female employees. Recommendation: Awareness about nutritional needs and balanced diet should be increased for every age group through mass media. As well as developing a health education programs about balanced diet and prevention of obesity. Also regular exercise should be included within the daily routine activities of the female employees. Keywords: Quality Of Life (QOL), Obesity, Body Mass Index and Nursing Intervention

Medical students' satisfaction regarding blended learning during COVID-19 pandemic

Background: The realization of the profession’s role in both of global and personal concept affected the self-identification among 2020 medical students. COVID-19 pandemic can hinder, accelerate, or change medical students’ professional identity formation. Objective: To assess the level of satisfaction about blended learning among undergraduate medical students at Zagazig University and to determine challenges, which face the medical students during blended learning education in Faculty of Medicine. Patients and Methods: This cross-sectional study was performed during the period from September 2020 to July 2021 at Zagazig University, Egypt. This research included 277 undergraduate medical students. Results: The current study reported that interaction satisfaction score ranged from 18 to 53 with median 37 and 53.1% of students reported high satisfaction with interaction domain. There was statistically significant correlation between total satisfaction score and both age and technology barrier. There was statistically non-significant correlation between total satisfaction score and communication barrier. Conclusion: The results show that the majority of our sample students were highly satisfied with blended learning and reported low barriers to e-learning. Students still prefer face-to-face courses despite their satisfaction with their grades and performance in blended learning courses

Knowledge and practice of Caregivers about Intestinal Parasitic Infestations at EL- Minia City

Intestinal infestations are amongst the common infections worldwide, it is estimated that about 3.5 billion people are affected, and that 450 million are ill as a result of these infestations, lead to physical and mental health problems such as iron deficiency anaemia, growth retardation, and lack of concentration the majority are being children that .Aim of the study: The study aimed to assess the knowledge and practices of caregivers about intestinal parasitic infestations at EL-Minia City. Subjects and methods: Descriptive research design was used in this study to identify the knowledge and practices of caregivers about intestinal parasitic infestations; the study was conducted in four primary governmental   schools. These were Saad Zaglol, Tark ebn Ziad, Elfath and EL-shaheed schools at    EL-Minia city.  Tool of the study included a structured interview sheet  it include two parts a) the demographic characteristics it includes (child age, child sex, residence, education and occupation of caregivers …….etc)The Caregivers knowledge regarding the intestinal infestation and consists of the following: (definition, types of intestinal worm, cycle of Pin worm and Ascariasis, mode of transmission, prevention, treatment B: The second tool (observational check list): was developed for assessing house environmental sanitation and assessing the caregiver's practices. Results: There was a highly statistically significant difference between the caregivers’ and their knowledge about intestinal infestation. Also, there with highly statistically significant difference between caregivers and their practices this study found that significant improvement of knowledge, practices of caregivers regarding intestinal parasitic infestations. Recommendations: Encourage the role of the community health nurse in health education for prevention and controlling of intestinal infestation. Keywords: intestinal infestation, caregiver knowledge. Practices