Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF ANTIOXIDANT FORMULATION SUPPLEMENTATION THROUGH WATER ON ANTIOXIDANT STATUS OF BROILER CHICKEN

Oxidative stress in broiler chicken can result in damage to biomolecules, cells and tissues which thereby can decrease immunity, antioxidant system and result in poor growth rate and production of the bird’s . Vitamin E & selenium play an important role in protecting cells from oxidative damage and hence improve the growth and performance of live stock. The effects of selenium, vitamin E and Ocimum sanctum extract (E-Care Se Herbal was the source of vitamin E, selenium and Ocimum sanctum extract) supplementation through water to broiler chickens on the antioxidant status in the liver was investigated. The trial was conducted with straight run broilers, the birds were randomly divided into 2 experimental treatments containing 6 replicates for each treatment with 20 birds per replicate. The treatments consisted of treatment T1 (Control, without any supplementation in the water) and treatment-T2 (E-Care Se Herbal @ 0.5ml/20 birds, given continuously from day 1 till end of trial period). Birds were sacrificed after 42 days of age and subsequently liver and whole blood samples were collected (6 birds per treatment) for antioxidant enzymes, non enzymatic antioxidant and lipid peroxidation level analysis. All animal housing, care and experimental procedures were approved by and conformed to the requirements of the Institutional Animal Ethics Committee. The inclusion of selenium, vitamin E and Ocimum sanctum extract (T2) supplemented through water significantly increased catalase activity and decreased the lipid peroxidation levels by decreasing the formation of malondialdehyde in the liver tissues in comparison to the control (T1). There was no significant difference in the glutathione levels and glutathione peroxidase (GSH-Px) among the treatments. The present study indicates the synergistic effect of vitamin E, selenium and Ocimum sanctum extract preparation in vivo by protecting against oxidative damage and lipid peroxidation in the birds.
Formulation and Evaluation of Thermo-Sensitive In Situ Gel of Brimonidine Tartrate

The intension behind the present work was formulation and evaluation of in situ gel of brimonidine tartrate. Brimonidine tartrate is an antiglaucomic agent which shows rapid precorneal exclusion and reduced ocular bioavailability when given in form of conventional ophthalmic formulations. To avoid this, an attempt has been made to formulate thermosensitive in situ gel of brimonidine tartrate to provide sustained release based on excipients that shows phase change from sol-to-gel upon change in temperature. The Brimonidine tartrate in situ gel was formulated by using triblock co-polymer (Poloxamer 407) as thermoreversible agent along with chitosan as mucoadhesive agent. On the basis of interaction studies, all physico-chemical study, sterility test and stability studies, it can be concluded that this in situ gel formulation provided the desired drug release and remained stable and intact at ambient conditions.
Effect of Essential Oils of Rosmarinus Officinalis and Populus Alba in Biomarkers Level in Osteoarthritis Experimental Model

Our work aims to study the effect of essential oils of Rosmarinus officinalis and Populus alba in biomarkers level in osteoarthritis experimental model. The induction of osteoarthritis in an experimental model was carried out by unilateral intra-articular injection of a mono-iodo acetate solution. It was followed by the treatment was given by using doses of the essential oils. The evaluation of biomarkers level was obtained. The results showed a significant difference in the concentrations of biochemical markers between the groups of treated and untreated rats. The essential oil of Rosmarinus officinalis, Populus alba may be useful against the osteoarthritis pathology.
International Journal of Intellectual Advancements and Research in Engineering Computations An effective character multi role identification model using k-relation graph clustering in visual image datasets

— In this paper proposes a global face-name graph matching based framework for robust movie character identification. The proposed system two schemes are considered. There are connections as well as differences between them. Regarding the connections, the proposed two schemes both belong to the global matching based category, where external script resources are utilized. This research study to improve the robustness, the ordinal graph is employed for face and name graph representation and a novel graph matching algorithm called Error Correcting Graph Matching (ECGM) is introduced. Regarding the differences, scheme 1 sets the number of clusters when performing face clustering . The face graph is restricted to have identical number of vertexes with the name graph. While, in scheme 2, no cluster number is required and face tracks are clustered based on their intrinsic data structure. Auto face identification of characters in films has drawn most research interests and led to many interesting applications. Since huge variation in the appearance of each character is found, it is a challenging problem. Existing methods evaluates promising results in clean environment, the performances are limited in complex movie scenes due to the noises generated during the face tracking and face clustering process. This study presents two schemes of global face-name matching based framework for robust character identification. In this paper main contributions of this study include the first noise insensitive character relationship representation is incorporate, next study introduces an edit operation based graph matching algorithm, next complex character changes are handled by simultaneously graph partition and graph matching and beyond existing character identification approaches. The proposed schemes demonstrate state-of-the-art performance on movie character identification in various movies
Erectile function in men with epilepsy: relationship to psychosocial-,

Erectile dysfunction (ED) is common with epilepsy. We aimed to determine the frequency of ED in epileptic adults and its related variables. Included were 100 epileptic men treated with conventional antiepileptic drugs (AEDs). Patients were assessed using International Index of Erectile Function questionnaire-5 items version (IIEF-5), psychiatric interview, Beck Depression Inventory (2nd edition) (BDI-II) and Hamilton Anxiety Rating Scale (HAM-A). Free testosterone and sex hormone binding globulin (SHBG) were measured to assess endocrinal status. Compared to controls (n=50), patients had higher rates of ED (37%), lower IIEF-5 scores (P=0.053), particularly with frontal lobe epilepsy, left foci, carbamazepine (CBZ) and uncontrolled seizures. A high frequency of depression (51%) and scores of BDI-II were reported with frontal lobe epilepsy, right foci, CBZ, polytherapy and lack of control on AEDs. Lower free testosterone and higher SHBG levels were also reported. Patients with ED were older in age, had higher rates of uncontrolled seizures (58.19%) and higher scores of BDI-II and HAM-A. A significant negative correlations were identified between ED and age, age at onset, scores of BDII and HAM-A. We concluded that psychiatric comorbidity and endocrine abnormalities appear to be related to ED and seizure intractability to AED medications. Attention should be paid to optimize seizure control. In addition, psychotherapy and modalities such as medications for ED are sometimes needed.
Summarization and Timeline Generation for Social Stream with Categorization.

— as increasing popularity of social sites like Tweeter, Facebook and Instagram etc. We will get lot of tweets and „N‟ no. of short messages being shared at unpredictable rate which is very high. As this data is large enough it will become critical to understand and analyze therefore redundancy and noisy data must be removed. To overcome these drawbacks of existing system we propose sumblr framework, in comparison with other regular approaches of summarization which depends on static data and small datasets where sumblr is dynamic and works on large data set. Firstly we have proposed tweet cluster vector algorithm for maintaining statistical data and compact cluster information to maintain dynamically in memory during stream processing, store and organize cluster snapshots of different moments. Generation of online and historical summaries with arbitrary time durations, we propose TCV rank summarization algorithm. We have proposed an evaluation method which generates timeline, categorization based on topic evaluation.
Review: Moving Object Detection Techniques

— Now a day, Moving Object detection is becoming very popular, yet challenging vision task. It is a critical part in many applications such as image search, image auto-annotation and scene understanding. The vision systems that include image processing methods are widely implemented in many areas as traffic control, video surveillance of unattended outdoor environments, video surveillance of objects, etc. Background subtraction techniques are very useful, simple and efficient techniques. This paper includes the various techniques existing for Moving Object detection and their comparison.
Brain Tumor Segmentation using Swarm Intelligence Approach

— Segmentation is an important step in medical image analysis which is used to extract the boundary of an area we are interested in. Swarm intelligence is an emerging area in the field of optimization and researchers have developed various algorithms by modeling the behaviors of different swarm of animals and insects such as ants, termites, bees, birds, fishes. Inspirations from swarm intelligence have been used in recent years in the field of Image processing problems. Optimization algorithms based on swarm intelligence are multi-agent, robust and resilient approaches, which are inspired by intelligent attributes of swarms. Their main advantage is the simple agents in communication which are capable of solving complex problems. With the aid of swarm intelligence, it is possible to create computer simulations of biological concepts. In this paper Ant Colony Optimization (ACO) is used for Brain Tumor Segmentation from Magnetic resonance imaging (MRI). Ant Colony Optimization (ACO) is a branch of Swarm Intelligence; ACO is new meta-heuristics algorithm in the field of image segmentation, which is inspired by behavior of real ants.
Comparison between Local and Imported Vaccine against Newcastle Disease , Infectious Bronchitis and Egg Drop Syndrome

The aim of this study is to, prepare a potent inactivated pentavalent combined vaccine from ND, IB and EDS, evaluation the immune response of chickens to the locally prepared vaccine and study the comparative efficacy of the locally prepared pentavalent vaccine with the imported one. In this study, 270 SPF chickens were used to evaluate the efficacy of different imported and locally prepared inactivated pentavalent vaccines. The birds were divided into 3 experimental groups 1, and 2 (100 birds /each), each group was divided into 4 subgroups while Control group (3) had 70 birds and sub-divided into 4 subgroups. The viruses used in this study includes newcastle disease virus strain, the vaccinal strain was the lentogenic living LaSota strain and received from Department of Animal Science and Agricultural Biochemistry, University of Delaware, New York, USA. The titer was 1010 EID50 / ml. While, the challenge strain was virulent velogenic viscerotropic locally isolated field strain of Newcastle disease virus. It was isolated, identified and typed. Its titer was 109 EID50 in embryonated chicken eggs. The infectious Bronchitis virus, it was classical Massachusetts 41 (M-41) typed and received as allantoic fluids from Department of Animal Science and Agricultural Biochemistry, University of Delaware, New York, USA. Its titer was 108.5EID50 / ml. nut, the egg drop syndrome virus was strain EDS 76 typed and received as allantoic fluids from Department of Animal Science and Agricultural Biochemistry, University of Delaware, New York, USA. Its titer was 107 EID50 / ml. So the conclusion was that the local pentavalent vaccine (ND. IBV. EDS) gave acceptable antibody titers and good protection levels in comparison with the imported pentavalent vaccine.
CTS: A Credit based Threshold System to Minimize the Dissemination of Faulty Data in Vehicular Adhoc Networks

In VANETs, vehicles broadcast messages to other nearby vehicles to exchange information among them about their surroundings. This broadcasting of messages may enhance road safety and traffic efficiency, which is possible only if the messages announced are true and could be relied upon. However, the presence of faulty and malicious messages in the network may lead to greater security threats. This paper proposes an approach called Credit based Threshold System , termed “CTS”, to minimize faulty data dissemination in vehicular network to improve the security and reliability of the network. The CTS approach uses two of the most common and efficient techniques to achieve the property of message reliability-the Threshold method and the Credit-based model. Both these concepts are integrated together to design an approach that mainly focuses on message authentication. The main idea is to check for the authenticity of the message, so as to ensure the message being truthful and reliable; and consequently, reduce the propagation of malicious and faulty messages from the network. A message with a higher value of authenticity is accepted and rest are discarded. In this paper, we have also proposed, a formula for message authentication.
Reliable Adaptive Replication Routing for Wireless Sensor Networks

In this paper, we consider the problem of reliable communication, the packet-loss prevention and packet-loss recreation recovery techniques are widely used and have many practical challenges. Hence, we propose a Reliable Adaptive Replication Routing (RARR) Algorithm, here the packet loss replication is accomplished in several hops and End-to-End (E2E) reliability is improved compared to conventional single E2E paths. RARR algorithm is comprised of a link capacity estimator, random disseminator and a replicator. The protocol employs an adaptive neighbor knowledge scheme which differentiates the density of nodes in the deployed scenario and hence reduces the overheads compared to the existing Proliferation Routing scheme. Simulation results demonstrate the effectiveness of this scheme and show that the proposed protocol is a feasible solution to increase the service quality (i.e., E2E transmission success rate, energy efficiency) compared with the well-known routing techniques. The proposed protocol is scalable and practical, and it dynamically adapts to the network topology.
Long Term Follow up of a Carbofilm Coated Stent in ST-Elevation Myocardial Infarction: Insight from the Real World SAVONA Registry

Background: Primary percutaneous coronary intervention (PPCI) with bare metal stents (BMS) significantly improved the clinical outcomes in patients with ST elevation myocardial infarction (STEMI). Aim of our registry was to analyze the safety and efficacy of a new generation carbofilmTM coated BMS in patients treated with PPCI. Methods and Results: A total of 235 patients (mean age 68.2 ± 12.6; 68.9% male) treated with PPCI between January 2005 and December 2008, were enrolled in our registry. The primary endpoint was the occurrence of any major adverse cardiac events (MACE) up to 6 years, defined as composite of cardiac death, recurrent myocardial infarction, target lesion revascularization (TLR) and target vessel revascularization. Stent thrombosis (ST) was evaluated as secondary endpoint. The left anterior descending artery was the culprit vessel in 43.8% of cases. The mean stent length was 24.6 ± 11.8 mm. Device success reached 100% while no-reflow was present in 1.7% of patients. Six years follow up was completed for 88.9% of patients. Event free survival from MACE was 77,4% and 8.1% of patients had TLRs. Five ST were recorded throughout the study of which one occurred beyond three years. Conclusion: Our study confirms the safety and efficacy of a carbofilmTM coated BMS mainly supported by the low incidence of MACE and stent thrombosis in the long term follow up.
Spectrum Sensing and Allocation In Cognitive Radio Networks

: With the increasing of communication applications in recent years, the demand for radio spectral resources has increased significantly. Cognitive radio scenario was proposed to improve spectrum efficiency in wireless communication systems. Sensing/monitoring of spectrum-availability has been identified as a key requirement for spectrum allocation in cognitive radio networks (CRNs). In this paper a framework model is designed to detect Primary and Secondary users and each spectrum is characterized by jointly considering primary user activity and spectrum sensing operations. In the final step the decision model is proposed to allocation the spectrum to the cognitive users without affecting the Primary Users. Spectrum decision is the ability of a cognitive radio (CR) to select the best available spectrum band to satisfy secondary users’ (SUs’) quality of service (QoS) requirements, without causing harmful interference to licensed or primary users (PUs).
Amalgamation of Wireless Sensor Networks and Embedded Systems

– Technical advancements in the computing technologies and chip design technologies, in which integration of more and more number of transistors is possible and are fabricated over a very small piece of silicon chip, lead Wireless Sensor Networks (WSN) to its new level. Many-core sensor network does its job in a better fashion with its architectural capabilities. This paper is a single step work to bring all single core sensor architecture to its maximum potential point that is to multi core environment. Wireless Sensor Networks (WSN) includes sensor nodes with embedded sensors for sensing data about where it is deployed and these nodes uses wireless links to communicate with other neighboring sensors. Many modern sensor applications requires plenty of sensors nodes for sensing data such as temperature, pressure, humidity, acoustic, image, video etc., in traditional Wireless Sensor Networks (WSN) sensed date is sent to sink node in which the entire processing is done. This scenario is not so practical for the applications such as multimedia sensors witch senses the images and videos. Transmission and also processing of sensed data in a Traditional Wireless Sensor Network (WSN) is far beyond its capabilities. Applications requiring large computations and bandwidth can be served by adopting high degree of core architecture. Processing of sensed data at the initial stage not only results in reduced power consumption at node levels also results reduced bandwidth usages. This paper gives you the idea of how modern embedded technology can contribute to technology up gradation.
Various Task Scheduling Algorithms in Clouds

Cloud computing is a novel perspective for large scale distributed computing and parallel processing. It provides computing as a utility service on a pay per use basis. The performance and efficiency of cloud computing services always depends upon the performance of the user tasks submitted to the cloud system. Scheduling of the user tasks plays significant role in improving performance of the cloud services. Task scheduling is one of the main types of scheduling performed. This paper presents a detailed study of various task scheduling methods existing for the cloud environment. A brief study of various efficient scheduling algorithms also discussed in this paper.
A Review on Detection Mechanisms for SQL Injection Attacks

: SQL Injection Attacks (SQLIAs) are one of the most serious security threats of database driven applications. SQL Injection was rated as the top most attack on the OWASP (Open Web Application Security Project). In SQL injection the attacker inserts structured query language code to input of a web form to gain access to database. SQL injection vulnerability allows an attacker to access commands to a web application's database and destroy confidentiality. Researchers have published number of tools for SQLIA detection. Some of which are AMNESIA, MySQLInjector, Paros 3.2. 12 etc. In this paper, we present a detailed overview on various types of SQL injection attacks, vulnerabilities, and detection techniques. A comparative analysis of these techniques is based on some parameters to detect the SQL Injection attack is shown in paper.
Predicting Sentiment Analysis from Online Reviews

Abstract:-Posting online reviews has become an increasingly popular way for people to share with other users their opinions and sentiments toward products and services. Both the sentiments expressed in the reviews and the quality of the reviews has a significant impact on the future sales performance of products in question. To tackle the problem of mining reviews for predicting product sales performance, propose Sentiment PLSA (S-PLSA). Based on S-PLSA, ARSA, an autoregressive sentiment-aware model for sales prediction and then seek to further improve the accuracy of prediction by considering the quality factor, with a focus on predicting the quality of a review in the absence of user-supplied indicators, and present ARSQA, an autoregressive sentiment and quality aware model, to utilize sentiments and quality for predicting product sales performance.
Secure Network Coding Approach With Distributed Reprogramming Protocol For Cluster Based Ad-hoc Networks In Dynamic Key Management Of Wireless Sensor Networks

: network coding provide set of secure protocols that rely on simple network coding operations to provide a robust and low-complexity solution for sharing secret keys among sensor nodes, including pairwise keys, cluster keys, key revocation, and mobile node authentication. We consider the problem of secret key distribution in a sensor network with multiple scattered sensor nodes. Our results include performance evaluation in terms of security metrics and a detailed analysis of resource utilization. For security reasons, every code update must be authenticated to prevent an adversary from installing malicious code in the network. All existing reprogramming protocols are based on the centralized approach in which only the base station has the authority to initiate reprogramming. it is desirable and sometimes necessary for multiple authorized network users to simultaneously and directly reprogram sensor nodes without involving the base station, which is referred to as distributed reprogramming. In this case, the network owner can also assign different reprogramming privileges to different users. Motivated by this consideration, we develop a secure and distributed reprogramming protocol named SDRP , The protocol uses identity-based cryptography to secure the reprogramming and to reduce the communication and storage requirements of each node. we address key management in cluster-based mobile ad hoc networks (MANETs). Ensuring secure communication in an ad hoc network is extremely challenging because of the dynamic nature of the network and the lack of centralized management. This scheme is implemented via a combination of ID-based multiple secrets and threshold cryptography. It eliminates the need for certificate-based authenticated publickey distribution and provides an efficient mechanism for key update and key revocation schemes, which leads to more suitable, economic, adaptable, scalable, and autonomous key management for mobile ad hoc networks. Many schemes, referred to as static schemes, have adopted the principle of key predistribution with the underlying assumption of a relatively static short-lived network. An emerging class of schemes, dynamic key management schemes, assumes long-lived networks with more frequent addition of new nodes, thus requiring network rekeying for sustained security and survivability. The theoretical analysyes demonstrates the security properties of the protocol, but we also implement it in a network of resource limited sensor nodes to show its high efficiency in wireless sensor networks.