Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparative Study of the Nutritional Quality of Freshly Extracted Juices from Organic Versus Conventional Orange and Apple Fruits

Freshly extracted juices obtained from organically and conventionally produced orange and apple fruits were assayed in terms of their nutritional quality. Total and individual sugars were detected using HPLC while brix concentrations were measured through a hand-held optical refractometer. Enzyme immunoassay method was used for vitamin analysis while both flame photometer and AAS were used for the minerals. It was observed from this study that the total soluble solids of juices obtained from conventionally grown fruits are slightly higher than their organic counterparts. However, apple juices revealed more percent soluble solids (12.8 13.56°Brix) than juices obtained from orange (10.78 – 11.6°Brix). The highest soluble sugar concentration detected was sucrose (4.21 – 5.66 g/100 mL) and conventional apple juices had the highest amount. Maltose was not detected in all the analyzed samples. Glucose concentrations were reportedly slightly higher (2.83 – 3.11 g/100 mL) in conventionally grown fruits than their organic counterparts (2.59 2.79 g/100 mL). Both organic and conventional orange fruit juices were observed to contain higher amounts of potassium, sodium, calcium, copper and zinc than their counterparts from apple. Concentrations of ascorbic acid were highest (480 mg/ L) in organic orange juice and the lowest was detected in conventional apple juice (190 mg/ L). For folic acid, organic apple juice had the lowest amount (61.29 μg/ L) while juice from conventionally grown oranges contained the highest mean amount (84.23 μg/ L). Additional research on other nutritional aspects such as amino acid profile, antioxidant activity, phenolic and organic acid composition may be necessary in order to provide more information for better comparison.
QOS-AWARE DYNAMIC REPLICA REPLACEMENT METHOD WITH SECURED CONTENT DISTRIBUTION

: Replication technique, which is the major thrust research, has been much studied in peer to peer overlay networks for the past two decades. P2P network is a good elucidation for distributed computing than client-server model. The peers in P2P networks act as a client or a server or a router. Peer to peer applications are emerged as a powerful paradigm for content sharing across the world which cause more internet traffic. In order to decrease the internet traffic and search success of an enhanced query searching and data retrieval mechanism of our previous work [5], and to increase the data availability, reliability QOS aware dynamic replica replacement method with secured content distribution is proposed in this system. In this mechanism replace the old replica by new replica with the help of Least Recently Used (LRU) technique. Routing is performed hierarchically by broadcasting the query to the strong clusters. From the extensive simulations using NS2 simulator, the proposed system achieves reduced latency, reduced packet drop, and increased query efficiency.
La traumatologie aiguë au Centre national d'entraînement commando. Étude de cohorte rétrospective de 2003 à 2006

Le Centre national d'entrainement commando assure l'instruction des techniques commandos pour les militaires francais. L'entrainement est realise lors de stages de 1 a 4 semaines, a l'aide d'activites specifiques. Le stress physique et psychique est soutenu. La prevalence des accidents traumatiques est etudiee sur une periode de 2003 a 2006, a partir d'une cohorte de 7284 stagiaires, a partir des donnees de consultation medicale. L'analyse des resultats montre une incidence elevee des traumatismes aigus. Les stagiaires issus des ecoles militaires y sont plus sujets que les autres. Les deplacements a pied sont les premiers responsables apres les parcours d'audace. Les facteurs de risques individuels evoques sont: l'inexperience militaire, un faible niveau de condition physique, un defaut de preparation.
Java Standards: A Comparative Study

Java language is one of the most usable programming language. This make it used to develop many applications and systems by many different developers. This diversity of developers‟ skills and backgrounds lead to the Java Programming language standards. There are many rules and guidelines for Java programming language. In this research, we include 20 different java standards that are also the common standards, with their characteristics, specifications, and limitations. Also, a comparative study has been made to provide different perspective to researchers and Java developers to help them choose the best standard for their research or application. Furthermore, this research addresses the tools that can be used to check the format of Java code using different standards that listed in this document.
Sweat Gland Biopsy: A Possible Early Diagnostic Tool in the Anderson-Fabry Disease

Anderson-Fabry disease is a rare X-linked lysosomal storage disorder caused by deficient or absent activity of the enzyme alfa-galactosidase A. This defect enzyme leads to accumulation of glycolipids, primarily globotriaosylceramide (Gb3), in the vascular endothelium of several organs, including the skin, kidneys, nervous system, and heart. The characteristic early clinical features of Fabry disease include acroparaesthesia, angiokeratoma, heat intolerance, hypohidrosis, cornea verticillata and gastrointestinal symptoms. Later complications occur with the disease progression and include progressive renal failure, hypertrofic cardiomyopathy, cerebrovascular disease and reduced life expectancy. Anderson Fabry disease is therefore a disabling and systemic disease which requires a timely diagnosis. The aim of our article is to propose a biopsy of the sweat glands as a diagnostic method to be used especially in patients who can't be subjected to cardiac or renal biopsy.
A Long Endurance Policy (LEP): An Improved Swap Aware Garbage Collection For NAND Flash Memory Used As A Swap Space In Electronic Devices

--- Flash memory has more capacity and less weight. It makes it more suitable for electronic media. Electronics such as tablet PC and smart phones use NAND flash memory as a secondary storage because it has many attractive features such as small size, fast access speeds, and light weight. However, it has shown limited success in its battle against the hard disk, due to intrinsic weak points of: erase-before-rewrite and limited program/erase cycles. Electronics with NAND flash memory uses a “swapping mechanism” to extend a limited main memory space. However, if the electronic devices use flash memory as swap space, it should perform garbage collection, which is a time consuming operation. Therefore, in order to manage swap space efficiently along with minimizing the weak points, this work presents a novel policy that improves the lifetime and provides efficient garbage collection for those devices. The proposed policy has three features important in NAND flash memory based swap systems: (1) long endurance of flash memory, (2) quick garbage collection time, and (3) low energy consumption.
Divisive Clustering method using Naive Bayes Algorithm for Text Categorization

: This research Divisive Clustering method using Naïve Bayes algorithm for text categorization has been developed to assigning an electronic document to one or more predefined categories or classes based on its textual context. In many information processing tasks, labels are usually expensive and the unlabeled data points are abundant. To reduce the cost on collecting labels, it is crucial to predict which unlabeled examples are the most informative, i.e., improve the classifier the most if they were labelled. Many active learning techniques have been proposed for text categorization, such as SVM Active and Transductive Experimental Design. However, most of previous approaches and researches are try to discover the discriminate structure of the data space, whereas the geometrical structure is not well respected. An agglomerative clustering algorithm has been implemented where the fixed M-dimensional static window has been replaced by a dynamic window scheme using Divisive Clustering Algorithm. Because of the independence assumption, the parameters for each attribute can be learned separately, and this greatly simplifies learning, especially when the number of attributes is large. The proposed scheme is experimented using Naive Bayes Algorithm with different data set to show its better effectiveness of text categorization in terms of minimum search time. The above mentioned algorithm has been implemented using Microsoft Visual Studio . NET 2008. The coding language used is C# . NET and the back end is MS SQL Server 2005.
The Effects of Functional Knee Brace on Postural Control in Patients Who Underwent Anterior Cruciate Ligament Reconstruction

Background: The current study aimed to evaluate the postural control in patients underwent anterior cruciate ligament reconstruction pre and post wearing functional knee brace. Methods: Eighteen athletes undergone unilateral anterior cruciate ligament reconstruction included in the study. They had unilateral anterior cruciate ligament reconstruction at least six months before session test. Postural control was assessed pre and post wearing custom-fit functional knee brace using a posturographic platform prokin 254. The balance tests included: 1) standing on prokin platform with eyes open/closed on anterior cruciate ligament reconstruction limb, 2) standing on prokin platform with eyes open/closed on both limbs. The standard deviation (SD) of body sway along the anteroposterior (AP) and mediolateral (ML) axis, mean velocity of center of pressure (COP) along AP/ ML axis and the area ellipse (measured in 2 mm) were calculated. Results: Results of the paired T-test revealed a significant effect on selected postural control variables for the brace conditions especially in low challengeable conditions (double leg, eyes open test situations) (P < 0.05). But in high challengeable conditions this effect was not significant. Conclusions: Functional knee brace improved postural control in the simple balancing task in the subjects with anterior cruciate ligament reconstruction. But this improvement in more difficult balancing task was limited.
Lexical Ambiguity Resolution System For Standard Yorùbá Verbs

: Machine Translation (MT) systems often face challenges in choosing appropriate translations for words in the source language. To resolve this problem, wordsense disambiguation systems depend on knowledge gained from different sources. The knowledge gained could be from external resources or corpora. Despite the importance of this knowledge sources, many world languages lack adequate training data required to undertake the task of resolving ambiguity that erupts when translating texts from one language to the other. Yorùbá language falls within this group. The objective of this study is to propose a method of resolving translation ambiguity in a Yorùbá to English MT system using limited resources. This research depends on a rule based method that utilizes the semantic feature of the predicate-object relation in Yorùbá sentences for the disambiguation. To evaluate the proposed method, twenty words with more than one possible English translation were tested on a Yoruba to English machine system. The result of the evaluation shows a precision of 85% and recall of 75%. This result shows that the use of selectional restriction is effective in resolving translation disambiguity in a Yorùbá-English machine translation system.
THE INFLUENCE OF PROCUREMENT PRACTICES ON PERFORMANCE OF THE PUBLIC SECTOR IN KENYA. A CASE OF NAROK COUNTY

This study sought to find the influence of procurement practices on performance of the public sector in Kenya. A case of Narok County. Specifically, the study sought to determine the influence of Supplier Partnerships on Performance of Narok County; to find out the influence of Information and Communication Technology (ICT) adoption on Performance of Narok County; to establish the impact of adoption of Green Purchasing Policy on Performance of Narok County; and to find out the influence of Procurement Planning on Performance of Narok County. The study used a descriptive survey research design and the population of this study was the employees and management of Narok County. The study adopted stratified sampling because the population of interest was heterogeneous in nature. The study used a sample size of 196 respondents. Further, the study used structured questionnaires as the main instruments for collecting primary data from respondents. Data collected was first edited, formatted and organized for coding into the Statistical Package for Social Sciences (SPSS) Program. The statistical parameters generated from the software were presented in tables and charts for easier interpretation. Multiple Linear Regression Analysis was used to estimate the relationship between the dependent and independent variables, and provide a means of objectivity in assessing the degree and nature of the relationship between the dependent and independent variables. The study established that Supplier Partnerships, ICT Adoption, Green Purchasing Policy, and Procurement Planning influenced 77.1% of the total variability in the Performance of the County . This was quite a significant influence and therefore the study recommended adoption of this procurement practices in all procurement processes in the entire public sector so has to enhance performance and delivery of service. Key Words: Supplier Partnerships, Information and Communication Technology, Green Purchasing Policy, Procurement Planning, Narok County
Performance of Urinary Liver Type Fatty Acid Binding Protein in Predicting Acute Kidney Injury in Post Cardiac Catheterization

1 Department of Internal Medicine, Faculty of Medicine, University of Alexandria 2 Department of Clinical Pathology, Faculty of Medicine, University of Alexandria 3 Department of Cardiology and Angilogy, Faculty of Medicine, University of Alexandria Corresponding Author Heba Elshair Lecturer of Internal Medicine, Faculty of medicine, University of Alexandria, Egypt Email: hebashair@gmail.com, Tel 02 01227466650 Abstract Acute kidney injury (AKI) is a common medical problem and is significantly associated with increasing morbidity and mortality. Contrast media (CM) is increasingly used in diagnostic and interventional procedures which results in the rising incidence of iatrogenic renal function impairment caused by the exposure to CM, a condition known as contrast induced nephropathy (CIN). The fatty acid-binding proteins (FABPs) are small cytoplasmic proteins abundantly expressed in tissues with active fatty acid metabolism. Nine distinct types have been identified, with each named after the tissue in which they were first identified.The urinary excretion of L-FABP reflects stress of proximal tubular epithelial cells, correlating with severity of ischemic tubular injury. The performance of urinary L-FABP as an early detection marker of AKI has shown promise in various clinical settings. We aim in this study to assess the feasibility of urinary LFABP as very early marker of CI-AKI after cardiac catheterization in patient with stage 3or 4 CKD. A prospective study on 40 patients comparing urinary L-FABP excretion in group I (10 control subjects with normal renal functions) and group II (30 adult patients with chronic kidney disease stage 3or 4 and established AKI after elective cardiac catheterization at the Cardiology and Angilogy department. Measuring urinary L-FABP the day before and 6 hours after catheterization. There was a statistically significant positive correlation between u-LFABP/Cr0 and u-LFABP/Cr6 with Cr0, Cr24, Cr48 ,Cr72. There was a statistically significant negative correlation between eGFR and u-LFABP.
Measurement of Strain by Speckle Tracking: Its Current use in Medicine and in Animal Models

Echocardiography and Doppler techniques have revolutionized cardiovascular imaging and diagnosis, enabling the visualization of structures in real time and the determination of haemodynamic aspects, which have improved the accuracy of clinical diagnoses. Among these techniques, Tissue Doppler Imaging (TDI) was the pioneer in determining the speed of the contraction of myocardial fibres and was an important diagnostic tool that allowed for the non- invasive evaluation of the heart, including the quantification of regional or global myocardial function and the evaluation of myocardial motion. However, TDI has many limitations, which have led to its gradual replacement by other more sophisticated diagnostic methods, such as speckle tracking. Speckle tracking allows for the calculation and analysis of myocardial movement through acoustic markers that are superimposed onto two-dimensional ultrasonic images of the cardiac cycle. With this technique, it is possible to calculate the strain in various aspects of the analysed structure without an influence from the angle. This technique does not share the limitations of TDI and has been extensively used in medicine due to positive results in the evaluation of cardiac function and because it is an accurate diagnostic method that allows for the detection of subclinical cardiac lesions. However, despite the benefits, this technique has several limitations that should be considered when using speckle tracking for examination.
The methanolic extract of Bergenia ciliata attenuates cancer by modulating Unfolded Protein Response in HeLa cells

Cancer cells are subjected to different stressful conditions such as nutrient deprivation, hypoxia, reduced vascularization, or pH changes, which act as the growth-limiting factors and are responsible for activating the Unfolded Protein Response (UPR). Because of the tumor microenvironment, cancer cells critically depend on the UPR-signalling to survive the adverse circumstances. UPR therefore acts in a cytoprotective manner, enabling cancer cells to adapt and flourish in the severely stressed tumor environment. Targeting the UPR may therefore be advantageous in specifically eliminating the cancer cells. Since natural products, such as plant extracts provide unlimited opportunities for new drug discoveries, our studies aimed to explore the potential of targeting UPR pathways with the potent bioactive herbal extracts of Bergenia ciliata, an indigenous herb of Kashmir valley. The plant is known for its anti-inflammatory and anti-neoplastic properties which makes it a good candidate for the study. In the current study, the cytoprotective doses of Berginia ciliata crude extract were evaluated and thereafter its effect on different UPR markers in the cervical cancer cell line (HeLa) was investigated. The IRE1α and ATF6 arms of the UPR showed a significant decrease following the treatment with different doses of the extract in a concentration dependent manner while PERK arm of UPR was contrastingly affected showing the increase in expression with the increase in the concentration. These findings thus suggest that the extract is able to modulate UPR particularly by inhibiting the protective UPR, which is significant in terms of cancer regression.
A Novel Method for Patient Centric Secure and Scalable sharing of PHR in Cloud Computing using Encryption

: PHRs grant patients access to a wide range of health information sources, best medical practices and health knowledge. In patient centric secure sharing, patients will create, manage and control their personal health data from one place using the web. Prior to storing the records in cloud server, they are encrypted using encryption algorithm which ensures the patient’s full control over their PHR. In addition to PHR (Medical history, current exams), personal files, insurance details and sensitive information can also be stored and shared. Patients only decide which set of users can access which set of files. All the files stored in clouds which are semi-trusted servers, are in the encrypted form and are confidential to other users. We make use of Attribute Based encryption (ABE) to encrypt the files. In this scheme, users are categorized into personal and professional domains which greatly reduce the key management complexity. There is a structured way to access the files for personal and professional purposes. Patients are able to dynamically modify the access policy and attributes.
Analysis of Parallel and Sequential Radix Sort for Graph Exploration using OpenMP and CUDA: A Review

: In this paper we have analyzed the comparison of radix sort algorithm on sequential and parallel procedures across three programming language platforms namely C, OpenMP based C++ and CUDA programming fixtures. The importance of radixsort to be a non comparison based sorting algorithm has been truncated. The algorithmic flow of data from the unsorted input to the desired output has also been shown using flowchart. Next to it, the theoretical complexity for radix sort is being illustrated and experimented for varied datasets of non-fixed sizes with varied bucket size ranges. Towards the end, the algorithmic complexities for radix sort have also been evaluated for the three algorithmic procedures used. The comparative efficiencies of radix sort for sorting a list of integers of different sizes and ranges have been evaluated. On the basis of analysis we have concluded the CUDA program to be approximately 100 times faster than the sequential C program and the multi-threaded parallel program enabled by OpenMP in C++ to be approximately 10 times faster than the sequential C program to sort a varied sized text file according to radix sort in an increasing order. This paper is a review of the serial and parallel algorithm implementation for sorting anonymously large dataset which can be used for graph explorations implemented over network analysis, which is also the future proposed work for our analytic study.
A COMPREHENSIVE REVIEW ON FAULT – TOLERANT PARALLEL FILTER ESTIMATION

Digital filters are ordinarily used in signal processing circuits and communication systems therefore these must be protected from set of errors more accurately . As complexity is continuously increasing , design and reliability engineers will demand to address several key areas to enable advanced SoC (System-on-chip) products in commercial sector. The first challenge will be to develop more accurate system level modeling of soft errors including not just device and component failure rates but architectural and algorithmic dependencies as well.Many techniques has been identified for error free circuit in which fault tolerant parallel filter using Error correction codes is latest.
In Search of a “Natural” Treatment of Cataract

Today, cataract is treated by surgery. The cost of the surgery places it beyond the reach of individuals in many parts of the world and there is an urgent need for less expensive, non surgical approaches to cataract treatment [2]. It was estimated that extra-capsular surgery used with 95% coverage of the population would avert more than 3.5 millions disability-adjusted life years (DAILY) per year globally [3]. In 2008, a study showed that the mean total cost of the operation per patient was €714 (SD = €57) and ranged from €437 in Denmark to €1087 in Italy [4]. The financial encumbrance is enormous considering that 28,000 new cases are reported daily [5]. Thus, pharmaceutical interventions that will maintain the transparency of the lens are intensively sought after.
Fibrous dysplasia of the humerus: An uncommon cause of pathological fracture in a 56-year-old

Fibrous dysplasia is a bone disease that manifests usually before the end of the third decade. Fracture occurring after a minor impact is usually on a background of diseased bone. This case illustrates an asymptomatic bone disease that was diagnosed incidentally when there was failure of union of a humeral fracture after 10 weeks of adequate conservative treatment.