Miracle-dz/UniFAR-FTUs huggingface dataset:
International Journal of Advanced Scientific and Technical Research Issue 3 volume 5,Sep.-Oct. 2013 Available online on http://www.rspublication.com/ijst/index.html ISSN 2249-9954

As well as the development of high speed microcontrollers with powerful computation capability, switched reluctance motor (SRM) drives are under consideration in various applications requiring high performance, such as servomotor drives, electric vehicle propulsion, jet engine starter generators, etc. SRMs inherently feature numerous merits like simple and rugged structure, being maintenance free, high torque–inertia ratio, fault-tolerance robustness and reliability, high efficiency over a wide range of speeds, the capability to run in abominable circumstances, etc.The requirements for variable-speed SRM drives include good dynamic and steady-state responses, minimum torque ripple, low-speed oscillation, and robustness. However, due to the heavy nonlinearity of the electromagnetic property and the coupling relationships among flux linkage, torque, and rotor position, it is not easy for an SRM to get satisfactory control characteristics. Therefore, new structure designs [1], [2], high performance magnetic cores [3] and adaptive control techniques [4] in the innovation and improvement of various SRMs have been presented progressively in recent years. ABSTRACT
Role of MiRNAs in Oral Cancer

Oral cancer, also known as “oral cavity cancer,” is the sixth most common cancer worldwide and has high mortality and morbidity rates. Oral squamous cell carcinoma is the most common type, accounting for approximately 90% of oral cancers [1]. The 5-year survival rate of oral cancer is approximately 50%, and more than 11,000 deaths are recorded annually [2]. Approximately 500,000 individuals are diagnosed annually worldwide, and the incidence rate continuously increases [3]. Oral cancer is prevalent in developing countries, especially in South Asia [2]. Oral cancer is significantly caused by environmental carcinogens, particularly smoking, alcohol, and betel quid chewing [4]. Patients with oral cancer experience poor quality of life because of the side effects of clinical treatments and cosmetic problems. Oral cancer is a multi-step disease, but its precise mechanism remains unknown [5]. Therefore, the pathogenesis of oral cancer and its earlier biomarkers must be further explored.
Fusion of Visible and Infrared Image Features for Face Recognition

: In this paper we used Local Binary Pattern (LBP), Features from accelerated segment test (FAST), Scale Invariant Features Transformations (SIFT), Speed Up Robust Feature Transformations (SURF), Binary Robust Invariant Scalable Key points (BRISK), Maximally Stable Extremal Regions (MSER) feature extraction methods to evaluate the performance of face recognition system with fusion of visible and infrared images. These six feature extraction methods are tested and analyzed on OTCBVS database under various illumination and expressions of multiple persons. The results shows that FAST, SIFT and SURF provides high precision rate and recall rate than other methods.
ENHANCED WEB CACHING USING BLOOM FILTER FOR LOCAL AREA NETWORKS

Web caching plays a very important role in improving the speed of web page access and also to reduce the bandwidth usage. In browser level caching the browser contains its caching mechanism which is isolated from any other browsers present in the Local Area Network (LAN). The browser access pages either using local cache or from the web server. The mechanism increases access time if the cache has not been available in the local system. In this proposed system, Local Area Network level caching has been introduced to access caches from other nodes in the LAN. The LAN computer nodes have been programmed with Bloom filters to access necessary caching information. The proposed system has been tested for single node-multiple requests and multiple node-multiple requests scenarios. The experimental results show that the technique is very efficient for browsing the web on the slow connections as the transfer in the LAN will be fast. The proposed system outperforms regarding access time for accessing the web page.
A Novel Approach for Image Searching using Visual Reranking Technique

—Rapid advances in computers and communication technology is pushing the existing information processing tools to their limits. The past few years have seen an overwhelming accumulation of media rich digital data such as images, video, and audio. The internet is an excellent example of a distributed database containing several millions of images. Image search has become a popular feature in many search engines, including Google, Yahoo! , MSN, etc., majority of which use very little, if any, image information. Image Retrieval system is a powerful tool in order to manage large scale image databases. Retrieving images from large and varied collections using image content as a key is a challenging and important problem. Due to the success of text based search of Web pages and in part, to the difficulty and expense of using image based signals, most search engines return images solely based on the text of the pages from which the images are linked. No image analysis takes place to determine relevance/quality. This can yield results of inconsistent quality. So, such kind of visual search approach has proven unsatisfying as it often entirely ignores the visual content itself as a ranking signal. To address this issue, we present a new image ranking and retrieval technique known as visual reranking, defined as reordering of visual images based on their visual appearance. This approach relies on analyzing the distribution of visual similarities among the images and image ranking system that finds the multiple visual themes and their relative strengths in a large set of images. The major advantages of this approach are that, it improves the search performance by reducing the number of irrelevant images acquired as the result of image search and provides quality consistent output. Also, it performs text based search on database to get ranked images and extract features of them to obtain reranked images by visual search.
ITEM-BASED PARTITIONING APPROACH OF SOYBEAN DATA FOR ASSOCIATION RULE MINING

: The advance in computing and information storage has provided vast amount of data. Association rules are mostly used in mining transaction data to find interesting relationship between attribute values and it is a core topic of data mining. It is difficult task as size of data increases. There is a greatest challenge in candidate generation for large data with low support threshold. In this paper we proposed an approach which allows data to be partitioned based on items. It organizes data into tree structure. Experimental results show that the method works well for increasing dimension of data. Performance of our approach is significantly better than other approaches, especially with the dense data and low support threshold.
Effect of Ethanolic Extract of Avocado Pear (Persea americana) Seed on Normal and Monosodium Glutamate-Compromised Rats’ Kidney Histology and Serum Bio-Functional Parameters

The effect of ethanolic extract of avocado pear (Persea americana) seeds (ASE) on normal and monosodium glutamate (MSG)compromised rats’ kidney histology and some serum bio-functional parameters was studied using standard protocols. The serum urea concentration of rats was less marked in the rats exposed to the extract alone (57.14%) as against those in MSG group (82.66%) and the effect following concomitant exposure to MSG and ASE decreased progressively with increasing extract dose. A similar trend of effect was observed for the serum creatinine and bicarbonate ion concentration. However, the higher (p < 0.05) serum chloride ion concentration was more marked in the medium extract co-treated group of rats relative to the control (240.04%) and MSG (30.69%) groups followed by high extract co-administered group (209.96 and 18.99% respectively) whereas the change in the serum potassium concentration of rats in high extract co-administered group relative to either the control or MSG group was significant (p < 0.05) but dose independent. The observations on the blood vessels congestion of rats’ kidney histology in the various groups seem to support the serum chemistry results. Thus, the study demonstrated MSG-induced adverse effect, and inconsistent modulation by ASE, on the rats’ kidney histology and some serum bio-functional indicators. The apparent synergistic interaction effect of MSG with ASE may result from unusual adverse and complex biochemical response in the rats. Caution in the use of ASE especially together with MSG should be exercised while further studies to elucidate the basis for the observations are warranted and recommended.
A Hedonic Pricing Model of Rice for Bhutan

Bhutanese consumer perception towards import and domestic rice was analyzed from a survey using market price and 11 different characteristics of rice. The paper, in addition developed a hedonic model of import and domestic rice consumed in Bhutan. The paper using Ordinary Least Squares (OLS) empirically finds that there exist some relationship between price paid by consumers and the characteristics of the rice. The study finds that Bhutanese prefer paying a premium for whiteness, less foreign materials, less broken rice and stickiness for imported rice while reddish color of local rice and cohesion are significant determinants while purchasing domestic rice. Of interest is the fact that consumers derive satisfaction from the goods characteristics which has both positive and negative implicit prices. Finally, the paper gives insights into some of the future potential works to be carried in order to find consumer’s preference in case of branded rice. KeywordsHedonic price, consumer preference, rice
DESIGN OF AN ENCAPSULATED TOPICAL FORMULATION FOR CHEMOPREVENTION OF SKIN CANCER

This study aims to design resveratrol loaded microemulsion (ME) topical formulation for use in skin cancer. Encapsulation of resveratrol can improve its intrinsic solubility and enhance penetration into the skin for topical use as an alternative to injectables. Preformulation studies by DSC and FTIR confirmed the compatibility of chosen excipients with resveratrol. Resveratrol loaded microemulsion was developed using phase diagrams based on oleic acid, labrasol and transcutol P as the oil phase, surfactant and co-surfactant respectively. Optimization was based on the particle size and % drug diffused. Optimized resveratrol loaded microemulsion was transparent and stable without phase separation. Optimized ME had an average particle size of 243 nm, zeta potential -32.9 ± 2.5 mV and % drug content of 92.216 ± 1.056. Optimized resveratrol ME was incorporated into a gel base to form a microemulgel that exhibited a spreadability of 34.3 ± 0.34 gcm/s, the viscosity of 6000 ± 1.67 cps and sustained in-vitro and ex-vivo drug release. Amount of drug diffused (in-vitro) at the end of 24 h was 98.21 ± 0.03% from the conventional gel. In comparison, 71.11 ± 0.47 and 68.15 ± 0.12 was the % drug diffused from the ME gel. Results of drug retention for both invitro as well as ex-vivo permeation study was considerably higher for resveratrol microemulgel than control. Data of antioxidant activity, tyrosinase inhibition, and cytotoxicity in B16F10 melanoma cell line prove that resveratrol loaded ME gel is a promising treatment option for skin cancer chemoprevention. INTRODUCTION: The three skin cancer types are cutaneous malignant melanoma, basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). BCC and SCC are classified as nonmelanoma skin cancers, whereas melanoma skin cancer is an aggressive type that can metastasize and cause death.
Urinary Tract Obstruction

Obstructive nephropathy can manifest as either a sudden or an insidious decline in renal function, which can be halted or even reversed by relief of obstruction. Obstruction can be due to anatomical or functional abnormalities of the urethra, bladder, ureter, or renal pelvis, which may be congenital or acquired, and it can also occur as a consequence of diseases extrinsic to the urinary tract. Although dilatation of the outflow system proximal to the site of obstruction is a characteristic finding, widening of the ureter and/or pelvicalyceal system does not necessarily indicate the presence of obstruction, and flow may be obstructed without such dilatation. Aetiology—calculi and pelviureteric junctional obstruction are common causes of unilateral obstruction, while prostatic enlargement, stone disease, and bladder and pelvic tumours account for about 75% of cases of bilateral obstruction in developed countries. To the clinician, the first and most important question is whether urinary tract obstruction is of recent onset (acute obstruction) or long-standing (chronic obstruction). The pathophysiological changes, clinical features, approach to investigation, and management differ in important respects in these two circumstances, which are discussed separately in this chapter under the headings of acute upper urinary tract obstruction, acute lower urinary tract obstruction, chronic upper urinary tract obstruction, and chronic lower urinary tract obstruction. Retroperitoneal fibrosis, a rare condition, is also discussed.
Secure Image Retrieval over Untrusted Cloud Servers

-Security issue represents the main barrier facing the wide adoption of cloud computing. Encryption is the best method to mitigate users' concerns. However, this method makes searching the encrypted data a challenging task. Accordingly, several approaches have been proposed to enable searching the encrypted, remotely stored data without decryption. Till now, almost all these approaches are limited to handle text search but not multimedia search. In this paper, we propose an efficient scheme that provides content based search over encrypted image database. To do so, we utilize a locality sensitive hashing LSH method to build our searchable index. LSH index greatly enhances the system efficiency by returning the matching images in a ranked order with a minimum number of distance evaluations. For security purposes, we turn this index into a secure index to prevent the cloud server from learning any useful information from the contents of that index. Searchable index along with image collection are outsourced to the cloud server in their encrypted format. We provide several empirical experiments to illustrate the efficiency of our proposed scheme.
TASK SCHEDULING OPTIMIZATION OF INDEPENDENT TASKS IN CLOUD COMPUTING USING ENHANCED GENETIC ALGORITHM

Parallel and distributed computing has been entered into the era of cloud computing which provides highly scalable computational power and remote location data storage with secure, fast and in cost effective way. So it has captured the attention of big IT giants for availing flexible, readily elastic and cost effective economical IT operations. Cloud computing environments provide dynamically manageable virtualized computing resources. The management of these resources is taking big account in cloud. So the scheduling has of vital importance in cloud computing. In this paper, we give an elaborate idea about Genetic Algorithm and its several variants proposed for task scheduling in cloud environment and idea of GA based scheduler is proposed in which population is produced by Enhanced Max Min by which makespan can be reduced and load of resources can be balanced.
A Review of Different Machine Learning Models to Analyze Collective Behavior in Social Networks

---In social networks, Collective behavior defines individual user or human behavior whenever they are exposed different types tasks in outside environments like social networks. Different types of social networks like face book, twitter and you tube are used to describe prediction of collective behavior of different users. So that in this paper, we describe basic study regarding different approaches used to predict behavior of users in different social dimensions. This paper also describes how social networks can be used to describe and predict sequential human behavior at his/her individual selection or preference. This paper presents different behavior patterns in online social networks, and also describes other tasks present in social networks with their recommendations and advertising perspective data analysis.
Cluster’s Node Emigration u sing Cloud ’s Adaptive Power Panel

- Cloud computing creates new business opportunity for small, medium or even large size companies, as it eliminates the need of investing in a huge datacenter in order to operate the environment. The contract between the cloud service provider (CSP) and the lessee is called service level agreement (SLA), which guarantee the quality of service (QoS) that should be fulfilled from the CSP to the lessee. The problem is that an over utilized node may result to SLA violation; However, virtual machine (VM) migration from utilized node to unutilized node or a node in power saving mode can decrease the SLA violation percentage, but potentially increase the cloud’s power consumption. Our proposed solution is to automatically modify the number of nodes in each cluster, to find the optimum cluster size based on the current SLA violation percentage, and to be an extension to our previously proposed adaptive power panel, in which the cloud’s datacenter is divided into clusters, where different VM migration policies are applied.
Spirituality Leads to Happiness: A Correlative Study

Spirituality and happiness both are very important concept of a human life. In spirituality person relate himself or herself to a more broader than himself/ herself and also make able to find a meaning or purpose of life this process also make him/her happy and satisfied in life. The present study is aimed to find the correlation between these two important concepts of human life spirituality and happiness. The SHS questionnaire of Lubomirsky and Leeper to measure happiness and DSES scale developed by Underwood are used in this study. Cluster sample of 100 (25 to 30 years) were selected from Udaipur city. Pearson Product Moment Correlation method was used to compute correlation coefficient between the scores of SHS and DSES. Results of this study showed that there is a positive high correlation between spirituality and happiness.
Expectations of Treatment of Hepatitis C in Children

Background: HCV infection in children differs from infection in adult through transmission paths, spontaneous viral clearance rate, and fibrosis progression duration of chronic infection. It is estimated that the rate of children with chronic hepatitis C will develop cirrhosis is less than 2%, however there are reports of children requiring liver transplantation. Objective: Was to present a general overview of the current treatments for HCV infection in children. Material and method: Databases such as PubMed, MEDLINE and Scopus were used as information sources to identify and analyzed the current information about the treatment for HCV infection in children. Results: In children the most commonly used drugs are pegylated alpha interferon in combination with ribavirin, both drugs are given in combination therapy in children over 3 years of age with detectable HCV RNA levels. The side effects reported are similar like to adults, including leukopenia, anemia, weight loss (determined by anorexia, nausea, and abdominal pain), changes in behavior, depression, suicidal ideation, thyroid disorders, and transient slowing of the growth rate. Recently, it has been approved that the other drugs with direct antiviral activity (DAAs), the protease inhibitors NS3/4, Boceprevir and Telaprevir were introduced into clinical practice in adults, only Boceprevir was tested and not approved for use in children, (Clinical Trials gob No P07614), adverse effects were reported in 37.5% of participants and included nausea, fatigue, malaise, increased systolic pressure, increased liver enzymes.
SURVEY ON PROTECTING LOCATION PRIVACY IN SENSOR NETWORKS AGAINST A GLOBAL EAVESDROPPER

: In Wireless Sensor Networks, sensor data is sent from sensor node to base station using a relatively fixed path. This produces a certain traffic pattern, which is analyzed by an attacker to know the location of either source sensor or base station. When attacker knows the location of either source sensor or base station he can identify the location of the object. Hiding location of an object becomes important when it is a soldier or an endangered species such as panda. Some measure should be used to stop the adversary from knowing the location of the sensitive object. These measures are called as the location privacy techniques. The purpose of this paper is the survey of location privacy techniques in the sensor network.
Utility of PET CT in prediction of response to neo-adjuvant therapy in patients with gastric carcinoma

Poster: "ECR 2015 / C-2032 / Utility of PET CT in prediction of response to neo-adjuvant therapy in patients with gastric carcinoma" by: "M. I. A. R. Elshikh1, R. A. Bazaes Castillo2, N. Garg1, R. Vikram1; 1Houston, TX/US, 2CL"
The Effects of Mindfulness Meditation in Managing Chronic Pain: A Mini-Review

Chronic pain is an increasingly common diagnosis in society affecting an estimated 25.3 million adults in 2012. Pain is defined by the International Association for the Study of Pain as, “An unpleasant sensory and emotional experience associated with actual or potential tissue damage or described in terms of such damage” [1] and chronic pain can be defined as pain that is present, “for at least half the days in a 6-month period” or that persists every day for a period of at least three months [2]. Chronic regional pain has been estimated to be present in 20 to 25% of the population and chronic widespread pain in 10% of the population, and patients with one form of chronic pain are more likely to develop another [1]. Despite its widespread prevalence the etiology of chronic pain is not well understood, and there is not a uniform treatment protocol that has been found to treat chronic pain.
Visualizing Strain Behavior of Mandibles with Gradually Reducing of the Permanent Teeth Using Digital Image Correlation Method

In dentistry, masticatory forces are applied to tooth crowns in dental occlusion and normally transmitted to the surrounding bone whether mandible or maxilla. Deformation of mandible depends on the properties of the material bone, especially its mineral content and porosity, the muscles and the mandibular form. Deformation can be thorough estimated using different methods. The goal of this study was to analyse the surface micro-displacements of lower jaws with gradually reduction of the permanent teeth. A total of 3 mandibles (lower jaws) were removed during autopsy (3 males, and aged between 45 and 55 years, mean 50 years). First mandible model had intact dental arch; second model was determined by bilateraly missing molars while the third mandible model was the model with absence of posterior teeth. After preparation, mandible models were placed in the standard press system-tensile testing machine where were tested. Software used in this research, ARAMIS is the optical, contactless, measuring system based on the principle of objective raster (fine-ground) procedure. The method for full field measurement of strain was done by using the ARAMIS three-dimensional image correlation system. The results of this study showed that the intensity of strain values increased with the anterior shifting of the force acting. The highest strain was found in the marginal bone of tested teeth in all three experimental models.