Miracle-dz/UniFAR-FTUs huggingface dataset:
Gaze Based Image Retrieval Using Webcam

: Content based Image Retrieval (CBIR) has been a widely researched topic over the last decades and the inaccurate retrieval of relevant images with respect to the given query image is one of its main challenges. The implicit form of image retrieval has been receiving much attention in the last few years as it is useful in Human Computer Interaction (HCI). But its research is limited by the cost effective specialized devices. Thus this paper mainly focuses on a content based image retrieval which avoids the need of those kinds of devices. This is carried out by capturing user’s gaze using a webcam, followed by a Bag of Words (BoW) methodology for performing the CBIR. The Gaze capturing is done by displaying images in an interface and then the gaze feature is extracted from the captured image which depends on number of times the user’s gaze lies at a particular image. Thus the proposed work constitutes a less complex method for gaze tracking using a webcam. The CBIR is done by extracting low level features from image and representing it using BoW model. The WANG DB, a general purpose database which contains 1000 images is used for the testing purposes.
Bio-analytical method development and validation of Flecainide by Liquid-liquid extraction with LC-MS / MS : by application to a pharmacokinetic study

It has high bioavailability after an oral dose with plasma half-life is about 20 hours with Peak serum concentrations can be seen 1 to 6 hours after ingestion of an oral dose. [1-2]. During oral loading with flecainide, a steady state equilibrium is typically achieved in 3 to 5 days. The majority of flecainide is eliminated by the kidneys, with the remainder metabolized by the cytochrome P450 2D6 isoenzyme in the liver [3]. Therefore, alterations in renal function or urine pH will greatly affect the elimination of flecainide, as more is eliminated by the kidney than by the hepatic route. [4]. Because of the dual elimination routes of flecainide and its tendency to decrease myocardial contractility. Flecainide interacts with numerous pharmaceuticals and can potentiate the effects of other myocardial depressants and AV node blocking agents. The molecular formula is C17H20F6N2O3 and the molecular weight is 414.13. [5]
Overview of Energy Consumption and Propagation in MANET

: Ubiquitous smart devices with embedded sensors are paving the way for mobile ad hoc networks (MANETs) that enable users to communicate directly, thereby playing a key role in Smart City and Internet of Things applications. In such smart environments, people with smart devices (nodes) can freely self-organize and form self-configuring MANETs to send and forward data packets to a destination over multiple hops via intermediate nodes. However, the energy consumption during routing remains a challenge in such ensemble mobile environments due to the limited battery capacity of mobile devices. This challenging issue has received substantial research attention, necessitating an exhaustive literature search over the variety of academic fields addressing this topic. The main motivation of this paper is to review various power-efficient routing schemes in MANETs that have recently been proposed to reduce the energy consumed when transmitting and receiving packets during active communication. The review covers various state-of-the-art protocols for each category and highlights their operation concepts, design challenges and key features. In addition, the energy consumption modes are also discussed. Finally, we provide a conclusion and suggest potential directions for future research in the field.
Immunostaining by Human Herpes Virus 8 Latent Nuclear Antigen-1 of Kaposi’s sarcoma: A Potential Biomarker of Severity of Disease?

Objective: To investigate the clinical relevance of scoring Kaposi’s sarcoma herpes virus (KSHV) expression by Human Herpes Virus-8 (HHV-8) latency-associated nuclear antigen 1 (LANA 1) in the early (early patch and plaque) and late (nodular) stages. Methods: We applied a combined intensity weighted histoscore and a categorized score to 235 early patch, plaque and nodular stages, and compared our results with published data. Results: The mean individual scores were significantly lower in the early patch stage compared to the plaque and nodular stages. There was no significant difference in the mean individual scores between the plaque and nodular stage. There was a wide overlap in distribution of histoscore between the three stages. Conclusion: Since treatment modalities are not based on the histological stage nor on the histoscore, KSHV histoscoring appears not to be a useful biomarker of the severity of the disease. Journal of Molecular Biomarkers & Diagnosis J o u r n a l o f M ole cul ar iorkers & iag n o s i s
LARRS*: Location-Aware Recommendation And Rating System

—LARS* is a location aware recommendation system that detects the location of user from IP address of system, gives details of that location and uses location based rating to produced recommendations. Recommender systems which are traditional do not consider spatial properties of users nor items; LARS*, on the other hand, supports a technique of three classes of location-based ratings, i.e. the spatial ratings for non-spatial items, the non-spatial ratings for the spatial items, and the spatial ratings for the spatial items. Details about user’s location are provided by using FivaTech. It propose an unsupervised, page-level data extraction to deduce the schema and templates for each individual huge Websites, which contains either singleton or multiple data records in one Webpage. FiVaTech applies tree matching, tree alignment, and mining techniques to achieve the challenging task. FivaTech is going to take place for web mining purpose.
Study of the Effects of Accounting Conservatism on Cost of Debt in the Companies Listed at Tehran Stock Exchange

Previous evidences indicate the desirable effects of conservatism in order to protect the interests of the providers of financial resources (investors and financers) in stock companies. The financers are interested to obtain information about the degree of possibility for covering their receivables through the company’s net equity and cash flows in future. In this study, the effect of conditional and unconditional conservatism on the cost of debt of sample companies has been studied. The statistical sample includes 104 companies listed at Tehran Stock Exchange, the data of which has been collected and analyzed during the years 2003 up to 2010. The results of the statistical tests show that the conditional conservatism has got a significant relation with cost of debt. While, there exist a direct and significant connection between unconditional conservatism with the cost of debt. Also, considering the findings of the research, the bigger companies, have higher financial expenses coverage ratio and more systematic risk, and less cost of debt. Generally, it seems that the financers give more focus on unconditional conservatism and its consequences on the companies and exercising or not exercising the conditional conservatism is not probably important for them. This issue may be the result of intrinsic performance of conservatism in reduction of profit and value of assets. The results of the present research also show that the managers of sample companies are not interested to implement the conditional conservatism procedures.
The Obesity Paradox for Stroke Patients, a Back Side of the Coin

A high BMI (body mass index) has been associated with higher rates of survival in patients with cardiovascular disease including patients with cerebrovascular disease, which is referred to as the obesity paradox. But the back of the coin explains the subject. In fact, body mass index does not fully reflect visceral adiposity, which is the cause of risk. In conclusion, it should be used with other parameters that show visceral adiposity to reveal the risk of obesity, metabolic syndrome and cerebrovascular disease.
Comparative Study of Spam Detection in Twitter by Different Approaches of Sentimental Analysis and Machine Learning Algorithm

: In this era, micro blogging websites such as Twitter and Facebook are filled with opinions and data. With rapidly growing online social network, spammers find these platforms easily accessible to trap users in mischievous and awful activities by posting spam messages. So, Spam detection is very necessary. The proposed framework will detect spam tweets by two methods: In first method, Tweets are sent to six machine learning classifiers to predict the spam tweets based on different parameters. In Second method, Tweets are sent to VEDAR sentimental analysis algorithm followed by machine learning classifiers. Results are compared. By comparing the results, it is easy to choose the best method to be followed to detect the spam tweets and also the best classifier can be identified by evaluating the results in terms of Accuracy and F1 Score. For validating, each tweet is sent to textbox of UI and can see the output which shows a message that the respective input tweet is spam of ham (not spam).
Data Processing in Cloud with AVL Structure and Bootstrap Access Control

-Corporate networks store their data in the shared knowledge plane which is cloudy. But they have to decide which part of the data would be visible for which users. To accomplish this task, the bootstrap access control mechanism is used which decides the accessibility of the user while entering the database. Also, if the data are processed and stored in perfect data structure, then data mining and data processing would be easier. So, the data are processed with map reduce algorithm and stored in a Balanced Overlay Network (BATON). BATON uses AVL tree structure for storing data. Also, it supports peer to peer system in which a separate server is provided for each company in the corporate network and in each server, the required redundancy is maintained. “Pay as you go” pricing policy is followed in this system which is a two way (Service provider and corporate network) beneficial pricing policy. In this policy, the user will be charged by categorizing his needs based on a range of memory required, duration and security policy.
Privacy Protection of Collaborative Data Using Slicing Technique

: There is an increasing need for sharing data that contains personal information from distributed database. The data is collected from multiple providers. The sharing of data can be used for research in different fields. While sharing a data first, personal information must be hidden from user. There are different techniques used for encryption of personal information. The process of removing personally identifiable information from data sets is called Anonymization. The techniques are k-anonymity, bucketization and slicing. Privacy for data and verification against privacy is very important and challenging task. Best utility must be preserved for collaborative data and loss of data must be avoided. Secure Multi Party (SMP) and Trusted Third Party (TTP) protocols create anonymized data. There may be a problem of insider and outsider attacker’s for collaborative data. The proposed work will be the implementation of Slicing algorithm which gives more security to the database.
Performance Analysis Of Zone Based Efficient Multicast Routing Protocol For Multicasting Over MANET

Group communication in Mobile Adhoc Network is achieved using an efficient method called multicasting. Efficient, secured and scalable multicasting in MANET is a challenging approach, due to dynamic topology of the MANET. So here we propose a novel Scalable and Efficient Multicast Routing Protocol (SEMRP). It is a zone based multicast routing protocol, where a zone based bidirectional tree is constructed to achieve efficient group membership management and multicast packet delivery. The position information of nodes is used in zone construction, multicast tree creation and multicast data delivery which reduce the route searching overhead and tree structure maintenance. The scalability and the efficiency of SEMRP are evaluated through simulations and quantitative analysis. Our simulation results show that SCMRP achieves better throughput and less packet loss as compared to DSDV routing protocol. And SCMRP is proved Scalable in both network size and group size.
BEHAVIORAL STUDY OF ROGAR AND ACUTE STRESS ON MALE CRAB BRYTELPHUSA GUERINI

When an organism is exposed to any toxic agent, some changes occur in the behaviour which can be observed externally. These behavioural changes may be co-related to they changes occurring in the nervous system, as different behavioural responses are sub-served wholly or partly be the different neural circuits which are distributed in the nervous system. Behaviour includes all those process by which an animal senses the external world and internal state of its body, and responds to changes which it perceives. Earlier reports revealed that there is a strong correlation between physiological activities, metabolic changes and behaviour of animals. The paper deals with toxic effect of rogar on fresh water male crab Barytelphusa guerini and its behavioural study. The experimental animal shows various activities which is recorded and discussed.
AN EFFICIENT APPROACH TO AN IMAGE RETRIEVAL USING PARTICLE SWARM OPTIMIZATION

: Particle swarm optimization (PSO) is a way to grasp user’s semantics through optimized iterative learning. In this paper an adaptive retrieval approach based on the concept of particle swarm optimization is introduced. The content can be in the form of objects, colors, textures, shapes as well as relation between them. By understanding the subjective meaning of a visual query, by converting it into numerical parameters that can be extracted and compared by a computer, is the paramount challenge in the field of intelligent image retrieval. The best compared method reaches its performance at convergence after 10 iterations, while the evolutionary PSO reaches the same result after half of the iterations, then continuing its growth. When a query image is given, only related images are displayed. And hence it reduces work load. This method is robust, reliable and flexible and time efficient for retrieval of images in an efficient way.
A Geometrical Approach for Solving 2D Eikonal Equation

Solving the Eikonal equation is popular due to its potential applications in various areas. Numerical method is the most common approach to solve the equation. This paper presents a geometric approach to solve the equation. Each point in a two dimensional domain with a given velocity field is characterized by the least time from the source. The path of least time is obtained by the Euler equations characterizing the extrema of the variation problem. A geometric representation of the space time function for the source is constructed. The solution to the eikonal equation is obtained based on space time geometry. keyword: path of least time, eikonal equation, front propagation
Investigation of the Association of Interleukin-21 and Macroprolactin Levels with Anti-thyroid Antibodies in Patients with Hashimoto's Thyroiditis.

Abstract Hashimoto's thyroiditis is part of the spectrum of autoimmune thyroid diseases characterized by the destruction of thyroid cells by antibody mediated immune processes. Although there are some studies about the association of macroprolactinaemia and interleukin-21 (IL-21) levels with other autoimmune diseases, few studies have been found about Hashimoto's thyroiditis in the literature. In this study, we aimed to see if there is any association between IL-21 and macroprolactin levels with anti-thyroid antibodies. The study included 70 patients with Hashimoto's thyroiditis as the study group and 48 healthy volunteers as the control group. Interleukin-21, prolactin, free thyroxin, thyroid-stimulaing hormone (TSH), antibodies against thyroglobulin (TG) and anti-thyroid peroxidase (anti-TPO) were determined in all participants. The presence of macroprolactinaemia was manifested by polyethylene glycol precipitation method. There was no significant difference between the study and control groups for fT3, fT4, prolactin and macroprolactin levels. We could not find any relationship between prolactin and macroprolactin levels with anti-TPO and anti-TG levels. Although IL-21 levels of the control group were significantly higher than the study group, there was also no correlation between IL-21 and anti-TPO and anti-TG levels. Our results showed that neither macroprolactin nor prolactin levels has any relationship with anti-thyroid antibodies. Contrary to other studies, IL-21 levels of the control group were higher than the study group. We think that new onset studies should be done with larger groups to better understand if there are any relationships of IL-21 and macroprolactin levels with Hashimoto's thyroiditis.
Modern Central Bank Communication

Theory and practice of monetary policy have changed significantly over the past three decades. An important part of today’s monetary policy is the management of the expectations of market participants. The most effective way to manage the expectations of market participants is the publication and explanation of the central bank’s forecast of inflation, output, and the instrument rate. The importance of the appropriate communication channels has grown due to the greater independence gained by the central banks and the accompanying need for accountability. With an independent central bank, the public needs to be able to judge whether or not it has succeeded in using the appropriate instrument to achieve its goal. Accountability is the quid pro quo of the central bank independence and communication facilitates the means to transparency which is important for accountability. Hence communication plays an important role in explaining to the public both the instruments and the goals as well as the reasons behind the decisions made by the authorities (Winkler, 2000). This is especially true in the case where a central bank chooses to follow a strict policy rule, such as inflation targeting.
Role of HLA–DQ Genotyping with Some Immunological Markers in Susceptibility for Infertile Males in Najaf Province

this condition. The current study has the aim of evaluation of some immunological markers level and HLA DQB1 genotyping roles among infertile male's patients. We have investigated HLA DQB1 HISTOSPOT in 75 subjects by using. Fifty were infertile patients while others were apparently healthy individuals used as a controls, then the serum level of IL6 and ASA was measure in seminal plasma, were detected by ELISA technique and ANA was detected in sera using indirect immune fluorecent assay test. The frequencies of *0303 allele a clear difference between Azospermia and control groups, these differences are significant (probability = 0.018), while in the oligospermia patients with DQB1 *0305 allele duplicates high compared to control and that the difference significant (probability = 0.074). The study conclude that the (ASA, IL-6) and the presence in the semen are signs of increase of patients with infertility, as well as the presence of alleles DQB1 *0303 and DQB1 *0305 increases the probability of non-production of sperm and decrease it in the count respectively.
CHARACTERIZATION OF THE COMBINATION OF CHONDROTIN SULFATE, CHITOSAN AND KAPPA CARERGEENAN USING THE IONIC GELATION METHOD FOR PAINFUL KNEE OSTEOARTHRITIS

Objective: Application of the use of chondroitin sulfate as an alternative medicine in addition to nonsteroidal antiinflammatory drugs has the ability to inhibit the development of osteoarthritis. The use of chondroitin sulfate in the form of nanoparticles can increase the bioavailability of the drug. This study aims to characterize the combination formula of condroitin sulfate, chitosan and kappa carrageenan. Methods: Preparation of formula consisting of 0.1% chitosan, 0.1% chondroitin sulfate and 0.05% kappa carrageenan at volume ratio of 10: 1: 1 were prepared by using ionic gelation method This method was based on the electrostatic interaction between opposite charges. Characterization of nanoparticles were performed by measuring pH, particle size, polydispersity index, zeta potential and examination of infrared spectrum. Results: The results showed that pH 3.1, an average particle size 582.9 nm, polydispersity index value of 0.324 and zeta potential value as much as -0.47 mV.
Relationship between Capital Structure and Economic Performance Separated by Ownership in Listed Companies in Tehran Stock Exchange

The main purpose of this research is to study the relationship between capital structure and firms’ economic performance separated by ownership. This study measures capital structure by company’s total liabilities and total assets; and economic performance and ownership structure are weighted by the two dimensions of institutional and corporate ownerships. Research used systematic elimination sampling method. Research statistical population included listed companies in Tehran Stock Exchange (414 companies) within 2009 to 2012. Sample volume determined as 88 companies. Research objectives are applied and it is considered as a correlation study. Research data collected through using stock exchange software. Further, collected data analyzed using SPSS software. The research used descriptive and inferential statistics (Spearman test). Results of research hypotheses show that economic performance in companies with institutional ownership is inversely related to capital structure; whereas, in non1 Corresponding author’s email: sbakhtiarnezhad61@yahoo.com International Journal of Management, Accounting and Economics Vol. 3, No. 2, February, 2016 ISSN 2383-2126 (Online) © Authors, All Rights Reserved www.ijmae. com 148 institutional economic ownership (corporate ownership) no correlation is seen with capital structure.