Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between civic engagement and level of people ’ s participation in local government *

This paper attempts to identify the relationship between civic engagements of local people and level of their participation in local government of Torbat-Heydarieh, Iran. The paper is based on the study carried out among 400 citizens of Torbat-Heydarieh. The analysis of data uses Pearson correlation to determine the relationship between variables involved. The findings reveal that two levels of participation (tokenism and citizen-power) have positive and significant relationship with civic engagement, while there is no significant relationship between nonparticipation level and civic engagement. The findings of the study imply that those respondents who engage more in civic activities would participate in high level of participation in local government. [Seyed Hamid Mohammadi, Sharifah Norazizan, Zahid Emby. Relationship between civic engagement and level of people’s participation in local government. Journal of American Science 2011;7(5):52-59]. (ISSN: 1545-1003). http://www.americanscience. org.
Load Balancing Algorithm for Cloud Computing Using Distributed Data-Centers

Virtualization techniques, high speed internet access and Service Oriented Architecture (SOA) allow users to access computing resources on pay-as-you-go basis under Cloud environment. The organizations neither need to purchase expensive hardware such as servers, storage, networking equipments etc. nor require skilled manpower for in-house software development. Cloud computing provides scalable and cost-effective solution at a nominal initial investment. Distributed data-centers in Cloud environment run user’s applications with minimum latency by exploiting computing resources geographically near their locations. Load balancing algorithms play important role in equalizing load among data-centers and in efficient use of computing resources. In this paper, performance of a dynamic load balancing algorithm has been evaluated by dividing data-centers in different zones. It has been shown that the proposed algorithm improves the computing efficiency of data-centers and minimizes the response time of user’s applications.
Detection of Glaucoma using Fundus Images- A Survey

This paper describes the varied techniques used for automatic detection of glaucoma. Glaucoma is a chronic eye disease within which optic nerve is increasingly damaged and thus causes partial loss of vision. If not treated properly, it's going to cause visual impairment. The present diagnosis of this neurodegenerative malady is done by extracting different features from retinal fundus images. Mostly, the features include Cup to Disc Ratio(CDR), ratio of Neuro-Retinal Rim(NRR) in Inferior, Superior, Nasal, Temporal (ISNT) quadrants, blood vessels, Para-Papillary Atrophy(PPA) and RNFL(Retinal fibre Layer) thickness. Keywords— Glaucoma, Inter-ocular pressure, fundus images, feature extraction, Optic nerve head
“Whose Marriage is this?”-Mate Selection Patterns in Modern Orthodox Society in Israel: A Dialogue between Two Cultural Systems

In modern societies, mate selection process has received extensive attention in the theoretical and research literature. Researchers were primarily concentrated in identifying the parameters that motivate and influence the choice of partner, as similarity, mutual benefits, and emotional aspects. Little attention, however, was given to the social and cultural context under which the selection process takes place. The present study attempted to explore this process among Modern Orthodox couples in Israel, as they combine two simultaneous cultural systems; modern and traditional. 36 in-depth semi-structured interviews were conducted with couples during their first year of marriage. The analysis revealed several mate selection styles, which were classified into two main groups: the "cognitive selectors" and the "emotional selectors". Both groups relate to their social context as a main factor in their selection process and outcome. The study findings throw light on the cultural complexity and duality of parallel value
A COMPENDIUM OF PATTERN RECOGNITION TECHNIQUES IN FACE, SPEECH AND LIE DETECTION

Lie is a false statement made with deliberate intent to deceive, this is intentional untruth. People use different technologies of lie detection as Pattern recognition is a science to discover if an individual is telling the truth or lying. Patterns can describe some characteristics of liars, in this work to face and speech specifically. Face recognition take patttern of face and speech recognition of voice or speech to text. So this paper pretends realize a compendium on lie detection techniques and pattern recognition face and speech. It permits to review the actual state of the tecnhologies realized in these recognitions. Also It presents an analysis of tecnhologies using some of these techniques to resum the result
TACTICAL PROCUREMENT MANAGEMENT AND SERVICE DELIVERY IN LOCAL GOVERNMENTS OF UGANDA: A CASE OF NEBBI DISTRICT LOCAL GOVERNMENT Paul Cankwo Senior Procurement Officer Action Africa Help International Uganda

The Public procurement in Uganda and the rest of the world is increasingly coming under pressure to go beyond the implementation of policies and procedures and to produce results in service delivery. However in Uganda despite the availability of institutional frame work and policies, there have been some challenges in the management of tactical procurement to yield the expected results. This study was conducted to examine the influence of tactical procurement process, competence of stake holders and strategic interventions in tactical procurement in Nebbi District Local Government. Structured questionnaires were developed and administered to a sample size of 84 public procurement stakeholders in Nebbi District. Data was analyzed and interpreted using mean and the regression model. The study revealed that tactical procurement management greatly influences service delivery by (R value 61%, and Sig. = 0.000), which was largely attributed to the high levels at which competence of procurement management stakeholders influenced service delivery in Nebbi District (r = 68%, Sig. 0.046). It was noted that most of the stakeholders still have procurement knowledge gaps hence affecting service delivery management in the District. The findings further revealed that tactical procurement process and strategic interventions statistically have insignificant influence on service delivery in this study. It was concluded that tactical procurement management can positively influence service delivery in the District, and it was recommended that the District should put more resources in building capacities of stakeholders.
Security Solutions for enterprises and organizations in their Communication Networks using Graph coloring

— With the rapid growth of the network technologies and evolution of enterprise information systems, more and more enterprises and organizations convey their transactions and services over the Internet now days. So cost-effective, reasonable design principles, and a suitable user interface are very important measures in the design of security solutions. This paper is focused on a theoretical analysis of solutions offered by graph coloring problem to some security problems in distributed communication networks. We describe the role of Graph coloring in several security techniques and main goal of this paper is to induce discussion on various security approaches that use coloring problem for amended results.
Obesity, Eating Habits and Sedentary Behaviour of Omani Young Adolescents: A Cross-Sectional Study

Background: Sedentary life style and bad nutritional habits are the main etiological factors for obesity-associated non-communicable diseases. Adequate physical activity practice and good nutrition are essential to support growth and development of young adolescents. Objective: The aim of this study was to assess the physical activity and nutritional status of young Omani adults in Muscat city at the Sultanate of Oman. Seven Hundred and One Omani young adults (313 males and 388 females) with a comparable age of 17.2 ± 1.4 years were included in this cross-sectional study. All study participants were randomly recruited from four different Omani governorates, and they were all healthy and free of any chronic diseases. Results: Personal interviews were conducted to collect physical activity and nutritional data, using a study questionnaire. Anthropometric measurements (weight, height, body mass index and waist circumference) were also evaluated for all study participants. Our results showed that there was no gender difference with regard the socio-demographic characteristics and anthropometric measurements of the study subjects, P > 0.05. The study participants had a high caloric intake that is associated with overweight and obesity as evidenced by the increase in BMI. The dietary intake of protein and fat was comparable for both genders and within the recommended dietary allowances. Conclusion: The enrolled study subjects had a trend of overweight and obesity that is mainly attributed to sedentary lifestyle and unhealthy nutritional habits. There is a need to adopt physical education intervention programs to improve the life style characteristics of young Omani adults and to increase their awareness about health risks-associated with sedentary life style.
Mining Popular Crime Patterns from Crime Datasets

- Criminal investigation plays an important role in law enforcement agencies while analyzing crimes. This can help in finding suspects and for better attribution of past crimes. So the use of pattern based approaches will have the potential to assist crime analyze experts in discovering new patterns of criminal activities. So the research is extended in this area in finding new crime patterns. Since frequent pattern mining problem has been introduced, researchers have been developed many ways and also extended to different useful emerging patterns such as closed, maximal, cyclic, periodic, and popular patterns. In this paper, we introduced popular crime patterns which give the popularity of each crime or incident among the entire crime database. The process used for mining popular crime patterns is discussed as PCrime-growth algorithm. The compact data structure called PCrime-tree is implemented in this algorithm. Finally our experiment results have been shown which gives information of compact, space efficient and time efficient of our proposed algorithm.
CHALLENGES TO STRATEGIC DELIVERY OF PUBLIC HEALTH SERVICES IN COUNTIES IN KENYA: A STUDY OF MACHAKOS COUNTY

This study sought to determine the challenges to strategic delivery of public health services in counties in Kenya, with a keen look at Machakos County by measuring four variables; management style, financing, adoption of ICT and staff training and their impact on delivery of public health services in Machakos County. The research was anchored on five theories; Contingency Theory, Resource-Based View Theory, Change Theory, Social Learning Theory and Andersen’s Health Behavior Model . The research adopted a descriptive research design and targeted all the 159 public health facilities within Machakos County as at December 2015. The study’ population was divided into four strata based on the level of the medical facilities; Level-2, Level-3 , Level-4 and Level-5 facilities. Stratified random sampling was then applied in determining 2 respondents from each of the 40 sampled facilities; a total of 80 respondents were be used in the study. Questionnaires were used to collect data from the respondents while data analysis was carried out using SPSS. Correlation and regression analyses were used to describe the type and nature of association between the study variables. Generally, the researcher established that there exists a strong positive association between dependent (successful healthcare service delivery) and the independent (management style, financing of healthcare services, adoption of ICT and staff training) variables with the independent variables explaining up to 79.0 percent of the success in healthcare service delivery. The findings of the study sought to further other studies through providing a reference platform for other researchers, provide policyholders with the necessary information to facilitate the development of regulations and policies and also aid decision makers in curbing challenges relating to strategic provision of health services in the country’ health sector. Key Words: Management Style, Financing, Adoption of ICT, Staff Training
Food Processing by Supercritical Carbon Dioxide-Review

Supercritical fluid extraction technology employing CO2 as an extract ant being the most greener technology in the area of food processing and hence many food and their ingredients important from the health point of view for combating various health issues have been attempted by many researchers to be investigated by this process. This review covers the extraction of caffeine, vitamin E, wine and beer, defatting, bio processing and response surface plot of the extraction has been found to be an important tool to monitor the progress of extraction with regards to pressure, temperature and yield of the bioactive contents of the foods. Garcinia mangostana L. active components and fractionation of corn bran oil are also excellent investigations being reviewed along with palm kernel oil comparatively super oil in comparison to conventional extraction methods.
Adenoid Cystic Carcinoma Arising in the Sphenoid Sinus Presenting with Headache and Diplopia: A Case Report

Introduction: Adenoid cystic carcinoma (ACC) is a rare, slow-growing malignant tumor, mostly occurs in the minor salivary glands. Moreover, ACC arising in the sphenoid sinus is a rare entity. Case: Herein, we report a case of ACC in a 69-year-old man who presented with a headache and diplopia. Both computed tomography (CT) and magnetic resonance imaging (MRI) demonstrated a mass lesion in left sphenoid sinus extending to the sellar area and clivus. After resection of the tumor, histopathological examination and immunohistochemical analysis reported "adenoid cystic carcinoma". Conclusion: We introduced a case of ACC that presented with a headache and diplopia. Although rare, ACC can arise from sphenoid sinus and should be considered as differential diagnosis of sphenoid lesions.
Efficient Optic Disc Segmentation and Peripappilary Atropy Detection in Digital Fundus Images

The basis of study and analysis of various eye diseases includes Optic disc(OD) nerve head region and OD center coordinates. The early detection of various eye pathologies like glaucoma and Diabetic Retinopathy helps to prevent the vision loss. So, there is a need to develop a fast and efficient algorithm for disease prediction. For that, reliable and efficient OD localization and segmentation are the important tasks. Therefore, this method aims for the efficient and automatic localization and segmentation of Optic Disc from digital fundus images and its peripappilary atropy detection to predict whether the optic disc is affected by any diseases like glaucoma. The proposed technique is divided into three subsections which deal with OD localization, OD boundary detection and peripappilary atropy Detection (PPA). OD localization makes use of the unique circular brightness structure associated with the OD, that is, the OD usually has a circular shape and is brighter than the surrounding pixels whose intensity becomes darker gradually with their distances from the OD center. OD boundary detection includes accurate blood vessels inpainting for the removal of vascular structure in the optic disc region which is followed by intensity adjustment and region growing considering OD center as a seed point for reliable segmentation of fundus images. The presence of PPA indicates whether the eye is affected by the diseases like glaucoma. So from the segmented optic disc, PPA is detected using a threshold so that we can predict whether the person is affected by disease or not. This is done by calculating the Red by Green ratio for each pixel in the Region of Interest (ROI). The process is implemented in a MATLAB 2014 prototype and tested with images in the DRIVE Dataset. The results show that the suggested method has 82.14% of accuracy, 75% of precision and 81.82% of recall for segmentation and PPA prediction.
A SECURE STORAGE OF PERSONAL HEALTH RECORDS IN CLOUD COMPUTING USING MA-ABE

-Individual wellbeing record (PHR) is a developing patient-driven model of wellbeing information trade, which is frequently sent to be put away at an outsider, for example, cloud suppliers. To guarantee the patients' control over access to their own PHRs, Multi-Authority Attribute Based Encryption is an effective technique to encode the PHRs. PHR in cloud is hard to keep up, in view of security issues in performing the read and compose operation of patient records. A Multi-Authority Attribute Based Encryption (MA-ABE) procedure is proposed to scramble each PHR document. An abnormal state of patient protection is ensured by abusing Multiple-Authority Attribute Based Encryption. It additionally gives security and versatility. To accomplish the accessibility, reliability and classification of the information put away in the cloud, the proposed framework scrambles client's information and makes utilization of the RAID (Redundant Array of Independent Disks) innovation guideline to oversee information dispersion crosswise over distributed storage suppliers. The circle disappointments are abstained from utilizing XOR (Exclusive OR)- equality check in RAID level 5. Attack level equality (RAID 5) utilizes a deletion code to produce equality data at the square level or bit level. On the off chance that any information is lost because of circle disappointment, the equality data is utilized to recreate the lost information in the fizzled plate. The proposed framework actualizes the RAID idea for PHR stockpiling model in distributed computing to give key administration and information rebuilding.
Simulating the Effects of Arrival Patterns in Yield Management

In airline yield management one of the difficult issues to be taken care of is the arrival pattern of the customers. If arrival pattern of the customers is known, the airlines industry can accordingly plan and optimize the ticket price and maximize its revenue. This paper is an attempt to optimize the yield of an airline industry depending on the various arrival patterns. Various arrival patterns such as uniform, normal and beta distribution are taken into consideration. The results obtained for the optimized yield have been identified and are summarized as the best possible combinations and worst combination.
Performance Improving Model for Super Resolution of Stochastic Textures

: Single image super resolution has attracted attention in recent years. Moving to texture enhancement it is still an ongoing challenge, even though considerable progress was made in recent years. More effort is devoted to enhancement of regular textures, but stochastic textures that are in natural images are posing difficulty. The objective of this method is to restore lost image details while acquisition. Based on fractional brownian motion (FBM) a texture model is used. This model is global in entire image and does not entail using patches present in image. The FBM is stochastic process with properties like self-similarity and long range dependencies between pixels. Self similarity is used to characterize a wide range of natural textures. This model based on FBM is evaluated and regularized super resolution algorithm with only one image as input is derived. A wide range of textures and images can be enhanced by applying this algorithm. An algorithm which increases the further performance is proposed by changing the parameters involved in diffusion process. Finally by the help of quality assessment parameters like Structural similarity Index Matrix, Peak Signal To Noise Ratio, Correlation Coefficient quality of image evaluated with reference to the input image.
CLINICAL OUTCOME STUDY OF CRITICALLY-ILL SEPTIC PATIENTS GIVEN TAURINE SUPPLEMENTED ENTERAL NUTRITION

Background: Sepsis is a significant public health concern and is the main cause of death in surgical intensive care units (ICUs). Patients with sepsis have features consistent with immunosuppression. Taurine is rapidly emerging as one of the more interesting amines which has been reported to have immune-modulatory effect through its action on cytokines. Purpose: To determine the effect of using Immune-enhancing enteral nutritional feed containing taurine compared to Standard enteral nutritional feed on clinical outcomes of ICU septic population. Methods: This was a prospective, randomized, controlled study. A total of 45 patients were randomly divided into 3 groups: Group 1 (n=15) received Standard Enteral Nutrition feed for two weeks, Group 2(n=15) received Immune-Enhancing Enteral Nutrition feed containing 10 mg/kg/day of Taurine for two weeks and Group 3(n=15) received Immune-Enhancing Enteral Nutrition feed containing 30 mg/kg/day of Taurine for two weeks. Parameters measured were serum levels of Interleukin-6, Interleukin-10, C-reactive protein and Total leukocyte count. Results: The current study showed that Taurine had immune-modulatory effect by significantly decreasing the level of pro-inflammatory Interleukin-6 and increasing the level of anti-inflammatory Interleukin-10. Taurine was found effective in improving the clinical outcomes of sepsis patients. Conclusion: Taurine administered enterally at a dose of 30 mg per kg per day to sepsis patients had immune-modulatory effect and improved their clinical outcomes and their quality of life. INTRODUCTION: Sepsis is a significant public health concern. 1, 2 It is the main cause of death in surgical intensive care units (ICUs), with a continuously increasing incidence and a mortality rate ranging from 30% to 60%, depending on sepsis severity and the days of hospital stay. 3 Treatment of sepsis adds tremendous costs on our health care systems. 1 QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.6(8). 3544-53 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.6(8). 3544-53 Therefore, both an early diagnosis and a timely prognosis of sepsis are of utmost importance to control efficacy of antibiotic and surgical therapy, to manage further diagnostics and interventions, and to optimize cost containment by adequate resource allocation. 4 That’s why emergency physicians are required to rapidly and accurately diagnose sepsis, evaluate its severity, and provide appropriate therapy for septic patients. 5 Current knowledge implies that sepsis represents a state of inflammatory mediators’ over-expression, after various noxious insults, especially bacterial infections. Enhanced pro-inflammatory cytokine and inhibited anti-inflammatory cytokine
Anomaly Detection in Fuel Expense And Mileage Through Data Mining

 Abstract — In large organizations a notable portion of the fuel budget is misused by malpractices of employees and fuel providers. An optimal usage of this amount could be of big advantages to the organization. We proposed a novel data clustering algorithm based on mode of the current data to determine the misuse of the fuel of the vehicles. The results reflect that this algorithm could be used to implement an effective check on the misuse of the fuel in big organizations .