A Proposed Approach for Predicting Liver Disease

One of the main challenges is to exploit recent technologies in a way that is able to preserve human life. Liver disease is one of the most influencing and largest organs of the human body, which has a great impact on human life, according to the massive number of deaths of this disease. So, it is important to predict liver disease with the maximum possible accuracy, as the current problem is the weak accuracy of predicting liver disease and not predicting the severity of the liver disease. Thus, through this paper, the aim behind our proposed work is to enhance the performance of predicting liver disease, predicting the severity of liver disease, and then building a recommender system that recommends the appropriate medical pieces of advice according to the patients condition using machine learning algorithms and tools like a GridsearchCV tool. Indian liver patients dataset (ILPD) and the hepatitis C virus (HCV) dataset are our training datasets. Hence, the proposed solution enhanced the prediction accuracy of liver disease by 80% and 77 % for extra tree and KNN algorithms when using ILPD datasets. And when using the HCV dataset, the accuracy is achieved by the Gradient boosting algorithm and Logistic Regression by 96% for predicting liver disease, disease severity, and patient recommendation system model

Modeling Subjective Symptoms Related to Micro-Hydrargyrism in a Population of Moroccan Dentists

BACKGROUND፡ The ability of mercury to deposit throughout the body and alter a wide range of molecular and cellular pathways results in a polymorphic and complex clinical phenotype with over 250 possible symptoms. However, some of them are recurrently cited as evoking chronic mercury poisoning. In this light, dentists users of dental amalgams are chronically exposed to mercury so that in-depth epidemiological investigations and adapted statistical methods are required to highlight adverse effects of this exposure.METHODS: In order to study the health impact of the occupational mercury exposure in a population of liberal dentists practicing in two Moroccan regions, a list of eighteen subjective symptoms commonly associated with micro-hydrargyrism was drawn up. Then, seven statisctical models adapted to count data were fitted. Finally, three methods were used to compare their relative performance in order to choose the most appropriate one.RESULTS: The adopted logical path, from the response variable selection till models’ comparison, led us to lean towards quasi- Poisson regression as the best way to predict the number of symptoms declared by dentists according to mercury exposure.CONCLUSIONS: Interpretation of the selected model allowed us to conclude that the reduction of dental amalgam use allows the reduction of subjective symptoms related to mercury exposure

إستخدام الزجاج المعالج بتکنولوجيا النانو لتحسين أداء الطاقة في الفصول المدرسية في محافظة قنا، مصر Using the Nanotechnology Treated Glass for Improving Energy Performance of School Classrooms in Qena, Egypt

تقوم الدولة المصرية بإنشاء العديد من المدارس وذلک لتلبية إحتياجات أعداد الطلاب وتحقيق جودة التعليم ؛ وتعتبر تحقيق الراحة الحرارية داخل الفصول المدرسية من أهم معايير ومتطلبات تحقيق أهداف التعليم الاساسي وذلک من خلال معالجة عناصر الغلاف الخارجى للفصول المدرسية ، وتظهر الورقة البحثية دور التطور التکنولوجى وتأثيره على مواد البناء وبالتالى تأثيرها على کفاءة الطاقة والتى تعد من أهم متطلبات التصميم البيئى للمبانى و أهم معايير العمارة المستدامة ، ويتناول البحث مشکلة إستهلاک الطاقة فى مبانى الفصول المدرسية فى محافظة قنا نتيجة عدم کفاءة الزجاج المستخدم فى الفتحات فى الغلاف الخارجى ، وبالتالى فإن الهدف الرئيسى من هذا البحث هو تحسين أداء الطاقة بالفصول المدرسية باستخدام الزجاج المعالج بتکنولوجيا النانو فى فتحات الغلاف الخارجى للفصول المدرسية فى محافظة قنا.وتم عمل دراسة تطبيقية بإستخدام المحاکاه الحاسوبية ببرنامج Design Builder v 6.0 وهو من البرامج المعتمدة عالميا فى مجال التحليل البيئى للمبانى نظرا لدقة النتائج المستخرجة من البرنامج مع الاستهلاک الفعلى ، وتشير النتائج الرئيسية الى أن نسب تخفيض معدل إستهلاک الطاقة بين زجاج حالة الأساس والزجاج المعالج بتکنولوجيا النانو المزدوج المخفض للإنبعاث 6مم و 13 مم هواء تزيد عن 30 % عن حالة الاساس توجيه )جنوب -غرب(. فى الفصول المدرسية فى محافظة قنا . The Egyptian state establishes many schools in order to meet the needs of the numbers of students and achieve the quality of education,; The achievement of thermal comfort in the school classroom is most important criteria and requirements for achieving the objectives of basic education during the treatment of the elements of the building envelope of the school classrooms, The research paper shows the role of technological development and its impact on building materials and thus its effect on energy efficiency, which is one of the most important requirements for the environmental design of buildings and the most important criteria for sustainable architecture.The research deals with the problem of energy consumption in classroom buildings in Qena Governorate, as a result of the inefficiency of the glass used in the openings in the building envelope. Therefore, the main objective of this research is to improve the energy performance of school classrooms by using nanotechnology treated glass in the building envelope of school classrooms in Qena Governorate ,An applied study was made using computer simulation with the Design Builder v 6.0 program, which is one of the internationally approved programs in the field of environmental analysis of buildings due to the accuracy of the results.The results indicate that the use of glass treated with nanotechnology double low-e 6 mm and 13 mm air to improve the energy efficiency of school classrooms in Qena governorate by rates of more than 30% over the base case of the (South-west) orientation

The role of nanotechnology in improving the efficiency of energy use with a special reference to glass treated with nanotechnology in office buildings

The correct use of glass in office buildings plays a key role in the efficient use of energy especially with the application of nanotechnology. The main aim of this paper was to identify the capability of the different types of glass used in the building envelope to reduce energy consumption in office buildings. The chosen type will be combined with different Window to Wall Ratios (WWRs) and orientations to verify its efficiency. For this purpose, a simulation tool was used (Design Builder 3.1), then a comparison was done to test the performance of different types of glass and different orientations with the same glass thicknesses. The results are put into comparison in order to identify the best type of glass which can help in reducing the cost of energy consumption and how can it comply with the Egyptian energy code requirements for glass type which achieve energy efficiency. The results indicate that the use of glass treated with nanotechnology (Low-E) which have indices of (Solar Heat Gain Coefficient (SHGC) = 0.23), (Light Transmission (LT) = 0.42), (U Value (UV) = 1.55) reduces energy consumption by more than 20% compared to the standard 6 mm clear glass. Keywords: Nanotechnology, Energy saving, Thermal comfort, Low-E glas

An Improved Hybrid Swarm Intelligence for Scheduling IoT Application Tasks in the Cloud

The usage of cloud services is growing exponentially with the recent advancement of Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to successfully meet the application demands while harnessing cloud computing\u27s potential effectively to schedule the IoT services onto cloud resources optimally. This article proposes an alternative task scheduler approach for organizing IoT application tasks over the CCE. In particular, a novel hybrid swarm intelligence method, using a modified Manta ray foraging optimization (MRFO) and the salp swarm algorithm (SSA), is proposed to handle the problem of scheduling IoT tasks in cloud computing. This proposed method, called MRFOSSA, depends on using SSA to improve the local search ability of MRFO that typically enhances the rate of convergence towards the global solution. To validate the developed MRFOSSA, a set of experimental series is performed using different real-world and synthetic datasets with variant sizes. The performance of MRFOSSA is tested and compared with other metaheuristic techniques. Experiment results show the superiority of MRFOSSA over its competitors in terms of performance measures, such as makespan time and cloud throughput

Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling

This paper presents a novel dynamic Jellyfish Search Algorithm using a Simulated Annealing and disruption operator, called DJSD. The developed DJSD method incorporates the Simulated Annealing operators into the conventional Jellyfish Search Algorithm in the exploration stage, in a competitive manner, to enhance its ability to discover more feasible regions. This combination is performed dynamically using a fluctuating parameter that represents the characteristics of a hammer. The disruption operator is employed in the exploitation stage to boost the diversity of the candidate solutions throughout the optimization operation and avert the local optima problem. A comprehensive set of experiments is conducted using thirty classical benchmark functions to validate the effectiveness of the proposed DJSD method. The results are compared with advanced well-known metaheuristic approaches. The findings illustrated that the developed DJSD method achieved promising results, discovered new search regions, and found new best solutions. In addition, to further validate the performance of DJSD in solving real-world applications, experiments were conducted to tackle the task scheduling problem in cloud computing applications. The real-world application results demonstrated that DJSD is highly competent in dealing with challenging real applications. Moreover, it achieved gained high performances compared to other competitors according to several standard evaluation measures, including fitness function, makespan, and energy consumption