Методичні вказівки до виконання лабораторних робіт з курсу "Сучасні технології розробки Інтернет-застосунків"

Методичні вказівки містять теоретичний матеріал та завдання до лабораторних робіт з курсу "Сучасні технології розробки Інтернет-застосунків" для студентів спеціальності "Прикладна та комп'ютерна лінгвістика". Навчально-методичне видання призначено для набуття необхідної методичної допомоги при виконанні лабораторних робіт. Методичний матеріал охоплює широке коло питань, пов'язаних з використанням серверної мови РНР та технологій MySQL для розробки web-додатків

Efficacy of resomal versus low osmolar ORS in severe acute malnutrition children with diarrhea age 6 months to 59 months

Objective: To compare the efficacy of Resomal versus low Osmolar ORS in severe acute malnutrition in children with diarrhea age 6 months To 59 months.Methodology: This Randomized Control Trial was carried out at Nutrition stabilization Centre pediatrics Department, Liaquat university hospital, Hyderabad, with duration of one year from 1st April-2016- to 31st March-2017. All the children having severe acute Malnutrition were included. After admission, severity of diarrhea was assessed on clinical basis. After informed consent, patients of Severe Acute Malnutrition were divided into two groups i.e Group-A and Group-B on randomized selection. Group A was given Resomal and Group–B was given low Osmolar ORS. Electrolytes were sent on admission then again after 12 hours of giving rehydration solution, response of diarrhea was assessed on the basis of Laboratory investigations and clinical assessment.Results:  Mean age of the children was 20.83 months and standard deviation was 3.52 months. Female children were in the majority 172 as compared to males 152 out of 324 cases. No significant difference was found in Z-score of both groups, P-value 0.07. Acute diarrhea was the most common in both groups, Diarrhea frequency-1 was found significantly more in both groups, having p-value 0.001, while frequency 2 and 3 were found without significant difference in both groups.  Statistically there was a significant difference in pre rehydration electrolytes in both groups, having p-value 0.001.  After rehydration no significant difference was found in electrolytes in both groups.Conclusion: It was concluded that resomal and low osmolar ORS were similarly efficacious in the rehydration of severely malnourished children with diarrhea and dehydration after rehydration

Enabling Scalable Data Processing and Management through Standards-based Job Execution and the Global Federated File System

Emerging challenges for scientific communities are to efficiently process big data obtained by experimentation and computational simulations. Supercomputing architectures are available to support scalable and high performant processing environment, but many of the existing algorithm implementations are still unable to cope with its architectural complexity. One approach is to have innovative technologies that effectively use these resources and also deal with geographically dispersed large datasets. Those technologies should be accessible in a way that data scientists who are running data intensive computations do not have to deal with technical intricacies of the underling execution system. Our work primarily focuses on providing data scientists with transparent access to these resources in order to easily analyze data. Impact of our work is given by describing how we enabled access to multiple high performance computing resources through an open standards-based middleware that takes advantage of a unified data management provided by the the Global Federated File System. Our architectural design and its associated implementation is validated by a usecase that requires massivley parallel DBSCAN outlier detection on a 3D point clouds dataset.Accepte

Enabling Scalable Data Processing and Management through Standards-based Job Execution and the Global Federated File System

Emerging challenges for scientific communities are to efficiently process big data obtained by experimentation and computational simulations. Supercomputing architectures are available to support scalable and high performant processing environment, but many of the existing algorithm implementations are still unable to cope with its architectural complexity. One approach is to have innovative technologies that effectively use these resources and also deal with geographically dispersed large datasets. Those technologies should be accessible in a way that data scientists who are running data intensive computations do not have to deal with technical intricacies of the underling execution system. Our work primarily focuses on providing data scientists with transparent access to these resources in order to easily analyze data. Impact of our work is given by describing how we enabled access to multiple high performance computing resources through an open standards-based middleware that takes advantage of a unified data management provided by the the Global Federated File System. Our architectural design and its associated implementation is validated by a usecase that requires massivley parallel DBSCAN outlier detection on a 3D point clouds dataset

Incidence of Right Ventricular Dysfunction In Patients of LV Dysfunction with Coronary Artery Disease and Short Term Outcome

Objective: To determine the incidence of RV dysfunction in patients of LV dysfunction with coronary artery disease and short term outcome. Methodology: This prospective study was carried out on 168 patients of LV dysfunction with coronary artery disease in the Echocardiography Unit of the departments of Cardiology, Liaquat University Hospital, Hyderabad from 1st October 2017 to 31st October 2018 and followed for three months. All patients with documented CAD were included. RV evaluation was performed on echocardiography through visual evaluation of RV function, RV region measured in four-chamber perspective and RV duration in a lengthy parasternal perspective. RV dysfunction was characterized as TAPSE of less than 1.2 cm. (RV ejection fraction < 35%). All the data was calculated on SPSS version 16.0. Results:  A total of 168 patients were included in this study based on inclusion criteria, out of the 92(54.7%) were male and 76 (45.3%) were female. The mean ± SD (range) was 52.36 ± 10.44 (30 to 60 years). The mean ± SD of RV ejection fraction was 40.73  ± 8.23% (range 25 to 52). The incidence of RV dysfunction was present in 30(17.8%) patients. Conclusion: In patients with LV dysfunction with coronary disease, in our pateints. It is an independent predictor of death and the development of HF in patients with LV dysfunctio

Prevalence of obesity in patients suffering from migraine

Background: Migraine is one of the most common primary headaches, accounting for significant morbidity in patients suffering from it. An association between obesity and migraine has been documented in the past, despite some studies pointing to the contrary. Author’s purpose is to calculate the prevalence of obesity in migraine patients in order to contribute to the existing concepts. A positive correlation could lead to the employment of weight loss interventions in the management of obese patients with migraine.Methods: In this cross-sectional study, 400 patients, recently diagnosed with migraine, attending the Neurology Outpatient Department at the Dr. Ruth KM Pfau Civil Hospital Karachi were enrolled after taking informed consent.  Migraine was diagnosed using International Classification of Headache Disorders III (ICHD III) criteria. Height (meters) and weight (kilograms) were measured and body mass index calculated. This data was kept confidential. The results were tabulated and analyzed using SPSS version 19.  Continuous quantitative data were analyzed using chi square test. A p Value of less than or equal to 0.05 was considered significant.Results: The mean age of enrolled participants was 30.69±6.96 years, 204(51%) were >30 years of age, 159(39.8%) were male and 241(60.3%) were female, mean height was 1.55±0.1 meters, mean weight was 56.26±12.98 kg, and mean duration of migraine was 5.04±2.02 weeks. The prevalence of obesity in patients with migraine was 108 (27%).Conclusions: It was concluded that the prevalence of obesity in patients with migraine was 27%

A visualization review analysis of the last two decades for Environmental Kuznets Curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms

Environmental Kuznets curve (EKC) is a statistical tool to examine the cointegration and causality nexus between economic growth and carbon emissions. The EKC is widely used in energy and environmental economics studies. Although, a large number of researchers have analyzed the EKC by applying different statistical models, and some review work has been summarized to draw a pictorial view of extending studies in this research field. However, still, the macroscopic overview needs to be considered. Therefore, this study aims to contribute to the literature for finding a new pathway for further research employing, and to facilitate this research Scientometric analysis is carried out by feature in CiteSpace. The dataset of screened 2384 records out of a total of 59225 Web of Science (WoS) references for the timespan 1999-2019 was used to visualize the knowledge map and outcome of the scientific enterprise. The visualization results reveal the most influencing studies, institutions, authors, countries, keywords, and category cloud, in the research field of EKC. This paper reveals that the research on EKC in alignment with green and sustainable technology science requires more attention. Further, this paper would help authors and publishers make their decisions for the research of EKC and planning for future perspectives to contribute to academic development and applied methodology

A visualization review analysis of the last two decades for Environmental Kuznets Curve “EKC” based on co-citation analysis theory and pathfinder network scaling algorithms

Environmental Kuznets curve (EKC) is a statistical tool to examine the cointegration and causality nexus between economic growth and carbon emissions. The EKC is widely used in energy and environmental economics studies. Although, a large number of researchers have analyzed the EKC by applying different statistical models, and some review work has been summarized to draw a pictorial view of extending studies in this research field. However, still, the macroscopic overview needs to be considered. Therefore, this study aims to contribute to the literature for finding a new pathway for further research employing, and to facilitate this research Scientometric analysis is carried out by feature in CiteSpace. The dataset of screened 2384 records out of a total of 59225 Web of Science (WoS) references for the timespan 1999-2019 was used to visualize the knowledge map and outcome of the scientific enterprise. The visualization results reveal the most influencing studies, institutions, authors, countries, keywords, and category cloud, in the research field of EKC. This paper reveals that the research on EKC in alignment with green and sustainable technology science requires more attention. Further, this paper would help authors and publishers make their decisions for the research of EKC and planning for future perspectives to contribute to academic development and applied methodology

Enabling scientific workflow and gateways using the standards-based XSEDE architecture

The XSEDE project seeks to provide “a single virtual system that scientists can use to interactively share computing resources, data and experience.” The potential compute resources in XSEDE are diverse in many dimensions, node architectures, interconnects, memory, local queue management systems, and authentication policies to name a few. The diversity is particularly rich when one considers the NSF funded service providers and the many campuses that wish to participate via campus bridging activities. Resource diversity presents challenges to both application developers and application platform developers (e.g., developers of gateways, portals, and workflow engines). The XSEDE Execution Management Services (EMS) architecture is an instance of the Open Grid Services Architecture EMS and is used by higher level services such as gateways and workflow engines to provide end users with execution services that meet their needs. The contribution of this paper is to provide a concise explanation and concrete examples of how the EMS works, how it can be used to support scientific gateways and workflow engines, and how the XSEDE EMS and other OGSA EMS architectures can be used by applications developers to securely access heterogeneous distributed computing and data resources