Miracle-dz/UniFAR-FTUs huggingface dataset:
Attenuation of isocapnic hyperpnoea-induced guinea-pig bron- choconstriction by chronic hypoxia

Decreases in both water vapour and temperature in airways occur during hyperpnoea. Hyperpnoea-induced bronchoconstriction (HIB) is caused by water or heat loss, or both, immediately following hyperpnoea. RAY et al. [1] demonstrated that HIB is mediated by tachykinins in guineapigs. Similarly, SOLWAY et al. [2] blocked HIB in guineapigs by using tachykinin receptor antagonists, especially the neurokinin-2 receptor antagonist. However, the relationship between the magnitude of HIB and tachykinin levels is not clear. It has been demonstrated previously that oxygen radicals play an important role in HIB [3, 4]. In these studies, oxygen radical scavengers and antioxidants significantly reduced tachykinin-mediated HIB. Oxygen radicals may augment HIB via an increase in tachykinin release and/or inactivation of neutral endopeptidase (NEP). NEP is the major degradation enzyme for tachykinins. Oxygen radicals may activate afferent C-fibres of the lungs and induce tachykinin release. This stimulation of afferent C-fibres has been demonstrated in visceral afferents [5]. It is also known that NEP is inactivated by oxygen radicals and is protected by antioxidants [6]. FRANK [7] demonstrated that chronic hypoxia enhances the production of antioxidant enzymes in rat lungs. It is not clear whether the same phenomenon occurs in guineapig lungs. Antioxidants attenuate acute lung oedema induced by xanthine-xanthine oxidase (X-XO) [8], which is known to generate oxygen radicals [9]. Therefore, the bronchial response to X-XO was used to test indirectly the antioxidant defence levels in the lungs before and after chronic hypoxic exposure in guinea-pigs. Following the indirect evidence of increased antioxidant defence levels caused by chronic hypoxia, the question of whether HIB can be attenuated by pretreating guinea-pigs with chronic hypoxia was explored. Furthermore, both tachykinin level and NEP activity were investigated for the possible underlying effects of chronic hypoxia.
INVESTIGATION OF HELICOBACTER PYLORI VIRULENCE GENOTYPE IN GASTRIC BIOPSIES BY POLYMERASE CHAIN REACTION

Objectives: Helicobacter pylori infections have been associated with the genetic diversity of their virulence factors; the virulence genotypes are valuable as a molecular marker in the diagnosis of patients with bacterial infections. Our main objective was to analyze the frequency and allelic genotype of vacuolating cytotoxin A (vacA) and cytotoxin-associated gene A (cagA) as well as investigate other virulence genes like outer inflammatory protein A gene (oipA) and a gene contact with the epithelium (iceA) of H. pylori. Methods: A total of 75 patients with gastritis and peptic ulcer diseases (PUDs) were selected to investigate H. pylori infections. 75 antrum biopsies were collected from these patients, and then genomic DNA was extracted from biopsies using the genomic DNA kit. Subsequently, the virulence genes of H. pylori were amplified using specific primers for vacA, cagA, cagE, iceA, and oipA by polymerase chain reaction (PCR). Results: A high prevalence of genes cagA (28.6%), vacAs1bm2 (44.68%), iceA2 (30.6%), and oipA (42.9%) was found, while vacA s2m1 and iceA1 genotypes was not found in our study. There was a significant correlation between the presence of cagA and cagE genotypes (p=0.02), suggesting that these two genes almost used together as a cagPAI integrity marker and the predominant cagA EPIYA motif was ABC (~650 bp) belong to Western cagA strains. The presence of the cagA+ and vacA+ genes was significantly associated with peptic ulceration (p≤0.001 at a level 0.01 and p≤0.044 at a level 0.05, respectively), whereas different iceA2 genotype was no statistically significant with clinical outcome. Patients with PUD more likely to have an oipA gene (61.9%) than those with gastritis (38.1%), p≤0.037, also the presence oipA gene was statistically significant with presence iceA2 and cagA, as well as the presence iceA gene was statistically significant with the presence vacA. There were 11 different genotype combinations and the most prevalent genotypes were cagA−/vacA+/oipA−/iceA2− (31.9%), cagA−/vacA+/oipA+/iceA2− (14.9%) followed cagA+/vacA+/oipA+/iceA2+ (10.6%), which associated with severe pathologies than the first and the second type. Conclusion: Most H. pylori genotypes which associated with peptic ulcer and gastritis were moderate virulent strains, whereas the virulent strain which associated with peptic ulcer belong to Western cagA strains had vacAs1bm2 genotype, oipA and iceA2 genes that rarely induced gastric cancer in the middle region of Iraq.
Fingerprint Liveness Detection using Deep Stacking Network

:Fingerprints have beenmost generally utilized for diverse security systems because of the high-level accuracy and user’s convenience. Since fingerprints begin to be broadly used in the smart mobile phones and tablets for payment as well as security, high-performed algorithms have been explored in the literature. At the same time, such mobile systems are highly required to detect spoofing attacks by fabricated fingerprints with malicious intends. This system implemented by using MATLAB software. In this paper, we used combination Speeded-Up Robust Features (SURF), Histograms of Oriented Gradient (HOG) and texture features from Gabor filter and deep stacking network as a classifier of the system. Nowadays deep learning adapting success in object recognition area for its ability in deep feature extraction and representations. In this study, we performed experiment analysis on the database from livdet2015
Estimation of SOC and SOH of Li-Ion Batteries

Battery is the most widely used energy storage device. Since its invention, it has become a common power source for various household, commercial and industrial applications. Despite its ever increasing importance, many challenges remain unsolved to characterize and manage the battery. Among them, one fundamental issue is the estimation of state of charge (SoC), and Sate of health (SOH) of battery. SoC expressed in percentage, refers to the amount of capacity available in a battery. SoC is critical for modelling and managing batteries. If SoC is 100%, reflects a full battery and if SoC is 0%, reflects an empty battery. This project aims at developing an estimate the SoC and remaining runtime of a rechargeable battery. The combined estimation of SOC method is based on Coulomb Counting technique. General Terms Battery level Indicator, State of Charge (SOC), State of Health (SOH) Li-ion Battery.
Design of Proposed Test Case Prioritization Model for Test Sequence Generation and Validating Performance against Existing Methods

Regression testing is an effective tool or technique used for minimizing the efforts and resource consumption when a new version or the modification in the software project is tested. In such project, the testing is performed only on the selected modules or testcases. The sequence of the testcase execution also matter in regression testing. Researchers used various evolutionary, swarm based and mathematical methods for testcase prioritization and optimization. Researchers also used the fault based or coverage based measures for testcase prioritization. In this paper, the functional contribution of the recent research is provided. The research method, projects and the contribution of the work is discussed in this paper. In this paper, the framework of the proposed dynamic programming based weighted method is provided. The paper defined the work stages of the proposed model. The algorithm for test sequence generation is also provided in this paper. The analysis results of the work are provided against the greedy and dynamic programming based methods. The results are derived for cost and the number of testcases processed by the method. The results show that the proposed model improved the performance effectively.
Video Content Identification Using Video Signature: Survey

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – The amounts of videos generated by people are increasing day by day. At each minute billions of videos are uploaded over the network. The videos are different types duplicate, edited, pirated etc. There are very few tools are available to find out near duplicate videos. Existing methods are not finding out video segment from larger unrelated video. These methods generate a signature of three types like spatial, temporal and spatio-temporal. This paper proposed a method which extract frame level features through this create a temporal signature. Using this signature it accurately detects a video segment which is embedded into larger unrelated video.
Hybrid Tile based Feature Extraction and Support Vector Machine Base Content-Based Image Retrieval System for Medical Application

Through the landing of therapeutic endoscopes, earth perception satellites and individual telephones, content-based picture recovery (CBIR) has concerned critical consideration, activated by its broad applications, e.g., medicinal picture investigation, removed detecting, and individual re-distinguishing proof. Be that as it may, developing successful component extraction is as yet reported as an invigorating issue.In this paper, to overcome the feature extraction problems a hybrid Tile Based Feature Extraction (TBFE) is introduced. The TBFE algorithm is hybrid with the local binary pattern (LBP) and Local derivative pattern (LDP). These hybrid TBFE feature extraction method helps to extract the color image features in automatic manner. Support vector machine (SVM) is used as a classifier in this image retrieval approach to retrieve the images from the database. The hybrid TBFE along with the SVM classifier image retrieval is named as IR-TBFE-SVM. Experiments show that IR-TBFE-SVMdelivers a higher correctness and recall rate than single feature employed retrieval systems, and ownsdecentweight balancing and query efficiency performance.
Integration of Region Based and Edge detection of Two-Level Image Segmentation

Image segmentation is the division of an image into a number of contained self consitant regions. Each region must be homogeneous with respect to a particular property, such as intensity, colour or texture. In this paper describes a two-level Region based and edge detection of image integration. Edges are first detected in the original image using a combination of operators for intensity gradient and texture discontinuities. To preserve the spatial coherence of the edges and their surrounding image regions, the detected edges are vectorized into connected line segments which serve as the basis for a constrained Delaunay triangulation. Segmentation is first performed on the triangulation using graph cuts. Our method favors segmentations that pass through more vectorized line segments. Finally, the obtained segmentation on the triangulation is projected onto the original image and region boundaries are refined to achieve pixel accuracy.
Building the Culture of Cooperation among UAE University Female Students

Throughout the years, research and experience have captured various contexts in which cooperative learning has been implemented and reflected. In the boundaries of a classroom as a learning community, cooperative learning has positively influenced the learning and teaching of multifarious learners and teachers. Hence, the study aims to explore and give account on an authentic experience in UAE University in Al Ain, UAE. The implementation of systematic cooperative strategies has significantly and constructively left its touches of social interaction, cultural responsiveness, and improved learning. Therefore, the researcher narrates the numerous ways through which she has witnessed a positive alteration in the learners’ attitude and learning through the consistent application of cooperative learning. The study findings are making good friends, classmates’ willingness to assist their group members in finishing their work, offering helpful suggestions and ideas, sharing ideas and saving time, constructive interaction among students, are advantages of the cooperative learning strategies. However, other challenges were faced by the students during the process of cooperative learning strategies such as lack of communication among the students. More specifically, some students prefer to control the speech among the group members. Other challenges are that some students’ dependency and careless of their responsibilities among their group members influenced negatively on their task achievement. The researcher anticipates and hopes that the findings will facilitate further research on cooperative learning and differentiated instruction in the UAE.
Confidential User Query Profile Construction for Personalized Web Search

-Web site structures are altered to improve the user navigations. Web personalization method reconstructs the page links with reference to the traversal path and profile of a particular user. User information are collected and analyzed to fetch the user intention behind the issued query. User customizable Privacy-preserving Search (UPS) is used to generalize profiles by queries with user privacy requirements. Greedy discriminating power algorithm (GreedyDP) is used to maximize the discriminating power of the user profiles. Greedy Information Loss (GreedyIL) is used to minimize the information loss in user profiles. GreedyIL algorithm achieves high efficiency than the GreedyDP algorithm. The Personalized Web Search (PWS) scheme is enhanced to control topic relationship based expert attacks. The User customizable Privacy-preserving Search (UPS) model is enhanced to resist query session based attacks. Query generalization is performed with query priority values. Anonymization and topic taxonomy models are used to improve the personalization process.
Assessment of Anemia and Iron Status of Primary School children aged 7-19 in Enemore-Ener and Abeshege Districts, Gurage Zone, Ethiopia

Background: Anemia is a worldwide problem, with higher prevalence in developing countries. It is common among school-aged children and its cause is multifactorial. This study was conducted to estimate the prevalence of anemia and its possible association with IPI and the nutritional status of the schoolchildren in Gurage zone, South Central Ethiopia.
Study of Compare the Efficacy of Group Cognitive-Behavioral Therapy and Exercise on Depression among 14-17 Years Old Adolescents

The present study aimed to compare the efficacy of group cognitive-behavioral therapy and exercise on depression among 14-17 years old adolescent girls in Bastak City. The research method was pretest-posttest with control group. For this purpose, 30 adolescents with depression were selected through Children's Depression Inventory and Depressive Disorder Diagnostic Interview. The subjects were randomly divided into three groups: group cognitive behavioral therapy, aerobic and control groups. The analysis of covariance, independent t-tests and SPSS were used to analyze the results. The results showed that group cognitive-behavioral therapy and aerobic exercise were significantly effective in reducing depressive symptoms at post-test. However, no significant difference was observed between cognitive-behavioral therapy and aerobic exercise groups at posttest. In total, the results suggested that group cognitive-behavioral therapy and exercise are effective in reducing depression in adolescent girls. Thus, these measures can be used by clinicians as a therapeutic intervention.
Identification of Facial Gestures and Audio Visual Interactions Using Ensemble Matrix of Multi Classifiers

— Human emotions are expressed using the facial expressions, the tone of voice, hands and body gestures . An approach of interaction between the computer-human must be accurate and robust. We use the concept of multi classifier systems to study the human emotions, audio-visual detection system. Automate recognition of emotional state, machines must be taught expressions to understand facial gestures. Here a proposal to identify the person's emotion state such as happy, anger, disgust etc. is stated. Audio visual detection is performed by fusing the results of separate audio and video classiﬁers on the decision level. We also study about the interactive visualization using Ensemble Matrix. It provides an approach for users to directly interact with the visualization in order to explore and build combination models. The efficiency of the system and approach in a user study is done. Multiple classifiers can be combined on multiple feature set to produce an ensemble classifier with accuracy that will provide a best-reported performance.
Comparative Analysis for Topic Classification in Juz Al-Baqarah

In Islam, Quran is the holy book that was revealed to the Prophet Muhammad. It functions as complete code of life for the Muslims. Remarks from Allah which contains more than 77,000 words that was passed down through Prophet Muhammad to the mankind for 23 years started in 610 ce. The Quran was divided into 114 chapters. Arabic language is the original text. The need for the Muslims across the world to find the meaning to understand the content in the Quran is necessary. Nevertheless, understanding the Quran is an interest for the Muslims as well as the attention of millions of people from the faiths. Following the generation, lots of content that related to the Quran has been broadcast by Muslims scholars in the way of the tafsirs, translation and the book of hadiths. Problem has happened at current is most Muslim in Malaysia do not understand sentences in the Quran due to language barrier. The purpose of this research is classified topic in each verses of the Quran sentence based on its specific theme. It involves the objective of text mining which are based on linguistic information and domain. The usage of corpus helps to perform various data mining tasks including information extraction, text categorization, the relationship of concepts, association discovery, the evaluation of pattern and assessed. This research project is aiming to create computing environment that enable us use to text mining the Quran. The classification experiment is using the Support Vector Machine to find themes in Juz’ Baqarah. The SVM performance is then compared against other classification algorithms such as Naive Bayes, J48 Decision Tree and K-Nearest Neighbours. This research project aims at creating an enabling computational environment for text mining the Qur’an and to facilitate users to understand every verse in Juz’ Baqarah.
The Effect of Green Tea (Camellia sinensis) Extract Against Hepato-ToxicityInduced By Tamoxifen in Rats

The present study was conducted to elucidate the antioxidant capacity of green tea (Camellia sinensis) extract against Tamoxifen citrate-induced liver injury. Four groups containing ten female Wister rats each were selected: Group I, served as control group, Group II, permitted Green Tea Extract (1.5% w/v in water) as the sole drinking fluid, Group III, injured by intraperitoneal injection of Tamoxefin (45 mg/ Kg/day) for 7 successive days and Group IV, permitted green tea extract as a sole source of drinking water (1.5% w/v in water) 4 days prior and 14 days after Tamxifen-intoxication (45 mg/Kg/day for 7 successive days). Hepatic oxidative damage was observed in Tamoxefin treated rats as evidenced via augmentation in liver lipid peroxidation as well as depletion in liver antioxidant enzymes; catalase, superoxide dismutase and glutathione peroxidase with highly degeneration and necrosis of the hepatocytes. Histopathological studies of liver treated with Tamoxefin revealed that supplementation of green tea extract resulted in mild degeneration and necrosis of the hepatocytes. Furthermore, green tea extract had normalized catalase, superoxide dismutase, glutathione peroxidase and liver lipid peroxidation content. In Conclusion, the supplementation of green tea extract appeared to be beneficial to a great extent in attenuating and restoring the damage sustained by Tamoxefin exposure.
Observation of dielectric relaxor behavior in Pb0.95 Sr0.05(Zr0.5Ti0.5)O3 ceramics

We reports structural, microstructural and dielectric characteristics of Sr 2+ doped PZT (50/50) ceramic. X-ray diffraction reveals that the system exhibit coexistence of two phases (Tetragonal and rhombohedral) at room temperature. Typical relaxor behavior was observed by the dielectric studies and confirmed by Vogul-Fulcher fitting. The observed relaxor was predicted as existence of nanopolar regions due to short range ordering in presence of oxygen vacancies. The evidence for oxygen vacancies was studied by conductivity and polarization studies. Moreover, at 270 °C one more phase transition is noted which was ascribed to structural phase transition. Present study has scientific significance to distinguish the performance of oxygen vacancies in ferroelectric materials. Copyright © 2015 VBRI press.
BUILDING SEMANTIC CONTEXT: AN APPROACH FOR LEARNING CONTEXT FROM THE WEB FOR FACILITATING TWITTER ANALYSIS

: Tweets are cryptic and often laced with insinuation. Interpretation of user tweets cannot be done in isolation. Human beings can interpret the tweets because they possess the ‘Background/Contextual knowledge’. This knowledge enables them to understand the context of tweets and interpret the text. Emulating this interpretation ability in machines requires the machine to acquire ‘Contextual Knowledge’. In this paper we propose a novel technique of harnessing the contextual knowledge from the online sources and building a Labeled Context Corpus (LCC). Our contribution in this paper is a methodology that discovers trending topics and automates the construction of a LCC. Since most of the user tweets do not contain hashtags and associating them with a topic label is a challenge; LCC can be leveraged for analysis of tweets even when they lack reference URLs or hashtags. Mining of tweets can provide valuable insight into societal sentiment.
Energy Depletion Attacks: Detecting and Blocking in Wireless Sensor Network

— one of the most complicated attacks in wireless sensor network is energy depletion attack. In which vampire attack and Distributed Denial of Service (DDOS) attack were leading. In this paper using a newly proposed Enhanced Ad Hoc on-Demand Vector (ENAODV) routing protocol, the link break at distant node is repaired with alternate path selection of shortest route in secure manner. The Adaptive Traffic Coalescing (ATC) scheme and Adaptive Power Aware Multicasting (APAM) Algorithm are used to detect a DDOS attack and an incoming traffic monitoring at least energy consuming path selection at network nodes. As a result of simulation, the performance given is related to the energy level and its packet delivery ratio in respect to time consumed.
Development and Validation of Amoxicillin by RP-HPLC Method in Bulk drug and Pharmaceutical dosage forms

A new, simple, specific, sensitive, rapid, accurate and precise RP-HPLC method was developed for the estimation of Amoxicillin in bulk and pharmaceutical formulations. Amoxicillin was chromatographed on a hypersil C18 column (250x4.6mm I.D., particle size 5 μm) in a mobile phase consisting of potassium dihydrogen phosphate and methanol in the ratio 95:05 v/v. The mobile phase was pumped at a flow rate of 1.0 ml/min with detection at 283 nm. The detector response was linear in the concentration of 20-100 μg/ml. The intra and inter day variation was found to be less than 2%. The mean recovery of the drug from the solution was 99.39%. The proposed method is simple, fast, accurate, precise and reproducible hence, it can be applied for routine quality control analysis of Amoxicillin in bulk and pharmaceutical formulations.