Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECTS OF PREMNA INTEGRIFOLIA LINN. ROOTS EXTRACTS IN CCL4 INDUCED TOXICITY IN RATS

Premna integrifolia Linn. roots are used in the Indian system of medicine for the treatment of diabetes, inflammation, liver disorders etc. The present study was aimed to investigate the antioxidant activity of Premna integrifolia L. (Family: Verbenaceae) in CCl4 (carbon tetrachloride) induced oxidative stress in SpragueDawley rats. CCl4 injection induced oxidative stress by a significant rise in thiobarbituric acid reactive substances (TBARS) along with reduction of superoxide dismutase (SOD), catalase (CAT), reduced glutathione (GSH), glutathione-s-transferase (GST) and glutathione reductase (GRD). Pretreatment of rats with different doses of aqueous and methanolic extract (250 and 500 mg/kg) significantly lowered TBARS levels in CCl4 treated rats. GSH and hepatic enzymes like SOD, CAT, GRD, and GST were significantly increased by treatment with the plant extracts, as compared to the CCl4 treated rats. The activity of the extracts at the dose of 500 mg/kg was comparable to the standard drug, silymarin (25mg/kg). The results showed that Premna integrifolia extracts protect liver from oxidative stress induced by CCl4 in rats. INTRODUCTION: Exogenous factors such as sunlight, ultraviolet light, ionizing radiations, some chemicals and normal cellular activities lead to the production of reactive oxygen species (ROS). The major types of ROS or ROS producing species are superoxide anion (O2 ∙− ), hydrogen peroxide (H2O2) and hydroxyl (OH) radicals 1 . ROS present a paradox in the biological function: on one hand, they prevent diseases by assisting the immune system, mediating cell signaling and playing an essential role in apoptosis. QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.4(12). 4697-03 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.4(12). 4697-03 On the other hand, they can damage many biologically active molecules and hence lead to tissue damage and cell death 2, 3 . In cells, there are several antioxidant defense mechanisms that functionally assist in preventing the destructive effects of various types of ROS. These defense mechanisms include antioxidative enzymes, such as superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPX) and
Privacy Preservation in Analyzing E-Health Records in Big Data Environment

– Increased use of the Internet and progress in Cloud computing creates a large new datasets with increasing value to business. Data need to be processed by cloud applications are emerging much faster than the computing power. Hadoop-MapReduce has become powerful computation model to address these problems. Nowadays many cloud services require users to share their confidential data like electronic health records for research analysis or data mining, which brings privacy concerns. K-anonymity is one of the widely used privacy model. The scale of data in cloud applications rises extremely in agreement with the Big Data tendency, thereby creating it a dispute for conventional software tools to process such large scale data within an endurable lapsed time. As a consequence, it is a dispute for current anonymization techniques to preserve privacy on confidential extensible data sets due to their inadequacy of scalability. In this project, we propose an extensible two-phase approach to anonymize scalable data sets using dynamic MapReduce framework, Top Down Specialization (TDS) Algorithm and k-Anonymity privacy model. The resources are optimized via three key aspects. First, the under-utilization of map and reduce tasks is improved based on Dynamic Hadoop Slot Allocation (DHSA). Second, the performance tradeoff between the single job and a batch of jobs is balanced using the Speculative Execution Performance Balancing (SEPB). Third, data locality can be improved without any impact on fairness using Slot Pre Scheduling. Experimental evaluation results demonstrate that with this project, the scalability, efficiency and privacy of data sets can be significantly improved over existing approaches.
Continuous modulation of muscle activation patterns during goal-directed movements

The purpose of this study was to investigate the control process for single-joint movements by examining preprogrammed and on-line modulated muscle activation patterns that emerged during 35 and 70 elbow extension movements at two velocities with unstable external loads. For each response, EMG activities of the triceps brachii and biceps brachii were acquired and digitized, which were used to calculate multiple EMG variables. Three-way ANOVA on the first 50ms of agonist activity revealed significant effects of velocity requirements and movement amplitudes, implying that knowledge about initial task constraints is incorporated into preprogramming of muscle activation patterns. However, analyses of other EMG variables including the first 50ms of antagonist activity, agonist and antagonist areas after the first 50 ms of movement, and their peak amplitudes showed significant effects of unexpectedly altered external loads, suggesting that the control system can utilize current sensory input in programming these muscle activation patterns. These results suggest that the movement control involves both preprogramming and on-line modulation of muscle activation patterns, and the control system operates continuously during a movement utilizing both its predictive ability and current sensory input as the basis for achieving a specified movement goal. Keywords-preprogramming; on-line modulation; external loads; muscle activation patterns
Magnet Synchronization Machines Enhancement Using Neural Network for Rotor Position and Speed Estimations

: In this work, distinctive sensorless control strategies were produced for various velocity areas. The proposed techniques were powerful for both notable shaft and non-salient-post PMSMs. In the low-speed area, saliency following spectators is normally utilized for rotor position estimation of striking post PMSMs. In any case, for a non-salient-shaft PMSM, because of the symmetric rotor structure, the reliance between rotor position and spatial saliency is frail. This exploration proposed a novel high recurrence square-wave voltage infusion based rotor position estimation technique, which is a great deal less reliant on the machine rotor asymmetry and is appropriate for non-salient-shaft PMSMs. As the outcome appears, the ANN viably sifts through the commotion content with no stage movement or size decline. The result of the ANN merges to the craved sign inside 30samples.
Travel Recommendations Systems Using POI of User

Big records increasingly more benefit both research and industrial region together with health care, finance inspection and repair and commercial advice . This paper gives an adjusted travel gathering reference from every travelog s and system contributed picture appear and the heterogeneous metadata (e.g., labels, geo-area, and date taken) related with these photo. Unlike most present journeying advice tactics, our technique International Relations and Security Network 't simplest someone finalized to consumer’s travel interest but also capable of advice a hitch collection in preference to individual Points of Interest (Poi ). Topical package quite a little space along with consultant tags, the distributions of toll , traveling fourth dimension and journeying time of year of every topic, is mined to bridge the vocabulary gap among substance abuser tour desire and journey routes. We take amplification of the complementary color of two varieties of sociable media: travelogue and community-contributed exposure . We map both person’s and routes’ textual descriptions to the topical big money space to get user topical package stack version and path topical megabucks model (i.e., topical hobby, cost, time and season). To propose customized POI sequence, first, famous routes are ranked in line with the law of similarity between person package deal and direction bundle. Then pinnacle ranked routes are similarly optimized by means of social similar client ’ travel statistics. Representative images with perspective and seasonal diversity of Poi are display to offer a more comprehensive affect. We compare our recommendation system on a collection of septet million Flickr walkover stab uploaded by 7,387 client and 24, 008 travelogues masking 864 tour POIs in nine famous towns, and show its effectiveness. We also make contributions a new dataset with extra than 200K snap shots with heterogeneous metadata in nine famous towns.
Altered blood pressure responses of carotid endarterectomy in patients with contralateral carotid artery lesion

ÖZ Amaç: Bu çalışmada kontralateral karotis arter lezyonu olan hastalarda karotis endarterektomiyi takiben ilk üç gün içinde değişmiş kan basıncı yanıtları değerlendirildi. Ça­lış­ma­pla­nı:­Mart 2009 Kasım 2012 tarihleri arasında karotis endarterektomi yapılan toplam 111 hasta (52 erkek, 59 kadın; ort. yaş 67.7±8.6 yıl; dağılım 46-83 yıl) retrospektif olarak incelendi. Hastalar iki gruba ayrıldı: kontralateral karotis arter patent olan (grup 1, n=65) ve kontralateral karotis arter darlığı (%50-99) veya tıkanıklığı olan (grup 2, n=44). Ameliyat sonrası izlem sırasında başlangıca kıyasla kan basıncındaki değişiklikler incelendi ve gruplar arasında karşılaştırıldı.
Evaluation and comparison of intravenous clonidine and intravenous dexmedetomidine on duration of bupivacaine spinal anesthesia

Context: Alpha-2 agonists improve the block characteristics in regional anesthesia, when added to local anesthetics. Aim: To evaluate and compare efficacy of dexmedetomidine and clonidine, as an intravenous adjuvant to intrathecal bupivacaine. Settings and Design: Prospective, randomized, double-blind placebo-controlled study. Methods and Material: 75 patients of American Society of Anaesthesiologists status I or II, scheduled for orthopaedic lower limb surgery under spinal anaesthesia, were randomly allocated into three groups of 25 each. Patients in group D received dexmedetomidine 1? g/kg; group C received clonidine 2? g/kg and group PL received physiological saline, each premixed to 20 ml intravenously over 20 min, starting 20 min after the subarachnoid block with 15 mg of 0.5% hyperbaric bupivacaine. Duration of sensory and motor blockade, postoperative analgesia, sedation scores and side effects were recorded. Statistical analysis used: Parametric testing done using one-way analysis of variance (ANOVA), intergroup comparison with post-hoc analysis Tukey’s test. Categorical data analyzed using Chi-square test. P< 0.05 was statistically significant. Results: Duration of sensory block was significantly prolonged by dexmedetomidine (231.20+24.84 min) and clonidine (200+23.67 min) than placebo (171+12.25 min) (p
MONTE CARLO SIMULATION OF BER PERFORMANCE OF UNDERWATER OPTICAL LINK OVER LOG NORMAL FADING CHANNEL

As day by day the demand of data is increasing, conventional wireless technology has not able to provide this amount of data, optical wireless is a prominent solution for high data rate due to high bandwidth and cost effective technology. Underwater absorption, scattering and turbulence incorporate a sufficient amount of attenuation and fading when Light signal is travel in underwater and due to combine effect of all this parameter the strength of signal is degrade when it travel in water and produce a BER and finally result in communication failure. In this paper we consider a underwater optical communication (UWOC) single input single output (SISO) link over week turbulence and taking the lognormal fading channel for BER calculation and finally a BER is calculated and for this BER expression, use monte carlo simulation method to evalute this BER expression and plot a BER result over week turbulence Region.
Studies on Genetic Divergence among Explored Germplasm from Eastern Vidarbha and Selected Varieties in Lathyrus (Lathyrus sativus L.)

Lathyrus (Lathyrus sativus L.), (2n =14) is herbaceous winter pulse crop belonging to family leguminosae and sub family Fabaceae. It is an important pulse crop and considered as a model crop for sustainable agriculture. The most probable origin of Lathyrus is Europe and Western Asia including India. In India, the remains of Lathyrus sativus were dated as old as 2000 B.C. (Pandey et al., 1995). The cultivation of Lathyrus is predominant in India, Bangladesh, Ethiopia and Nepal. The crop is sturdy with a deep penetrating root system and grown on residual moisture hence International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7692 Special Issue-6 pp. 2208-2217 Journal homepage: http://www.ijcmas. com
A Survey on Web Service Mining by Collaborative Filtering and QoS

— Web service mining has become one of the promising areas of Service Oriented Architecture. Web service discovery methods include syntactic based system and semantic based system. Recommender system plays a vital role in recommending a product to customer, seldom used for web service recommendation. A variety of techniques have been proposed for performing recommendation namely, content-based, collaborative, demographic-based and other techniques. To improve performance these techniques has been combined in hybrid recommendation system. The most widely used filtering technique of recommender system is collaborative filtering. In this paper, we describe various collaborative filtering by QoS rating techniques applied to web service mining and addresses various collaborative filtering problems namely, cold-start problem, gray sheep problem, synonym problem, ramp-up problem, shilling attack, data sparsity and scalability.
Link Mining: Information Mining Using Links

: The Challenging task for data mining is solving the problem of mining proper structured databases, for creating this structured databases various objects are linked together in some manner. These links among the objects describes certain patterns, these pattern identification can help for doing many data mining tasks easily. Recently there is a sudden strong feeling of interest in this area, because of web and hypertext mining due to interest in social networks mining, security and law enforcement data, Reference to a book, article or other published item, epidemiology.
INVITRO ANTIOXIDANT ACTIVITIES OF CHLOROFORM EXTRACT OF ANISOMELES MALABARICA.

: Herbal medicines and Phytochemicals can be potent agents for lung cancer chemoprevention and treatment by regulating multi-molecular targets involved in angiogenesis, metastasis, and severe side effects; only provided quality control and reproducibility issues are solved. Compared with the conventional drugs used in cancer treatment, the toxicity of medicinal plants may seem trivial; however, it is a serious public health problem. Several medicinal plants are considered toxic and can cause serious damage to the health of patients. Hence it is of interest to investigate the in vitro antioxidant analysis 0f chloroform extract of Anisomeles malabarica was analysed. Our results indicate that the antioxidant potential of Anisomeles malabarica.
A 5G graphene antenna produced by screen printing method

The save and fast manufacturing are required in order to achieve 5G technology. However, there are many kinds of manufacturing antenna which are depending on material applied in the antenna itself. Each type of manufacturing also has its own advantages and drawback. In this article, a graphene antenna for 5G applications is manufactured using screen printing method. A fine mesh resolution of 120 µm is used to print the antenna accurately. This kind of printing has capability to produce antenna in less than 5 minutes. The antenna made by conductive graphene ink has size of 11.8 x 12.2 x 0.076 mm3 and produced within a small amount of graphene ink. The measured antenna resonates at 15.04 GHz with reflection coefficient magnitude of -12.05 dB and percentage of impedance bandwidth is 30 % which is in the range of 13.3 to 18.0 GHz. The radiation pattern at E-plane and H-plane of the graphene antenna are simulated and measured where the result obtained are comparable.
Revealing the Social Vulnerability of Communities to Disasters using a Composite Index based on Village-Level Poverty Data

This study was done to develop a barangay social vulnerability index (BSVI) for the purpose of prioritizing disaster resilience programs in local communities. Six (6) of the Community Based Monitoring System 13+1 Core Local Poverty Indicators were used in computing for the BSVI. Factor Analysis using Principal Component Analysis was able to identify 4 components of the index namely: Water Sanitation and Hygiene Inaccessibility (WASHI), Health and Nutrition Inadequacy (HNI), Financial Vulnerability (FV), and Vulnerability of Housing (VH). The factor loadings were used in the weighting process while normalization was done using Min-Max method. BSVI is computed using the linear additive aggregation. The BSVI was able to identify 5 moderately vulnerable barangays in Valencia City, Bukidnon, Philippines out of the 31 barangays in the city. Furthermore, index evaluation using a series of correlation analyses confirms the soundness of the mathematical architecture of the index.
GOLD NANO-CONJUGATES: A LEAP IN CANCER TREATMENT

The use of nanoparticles as drug delivery and targeting agents has led to immense progress in the field of biomedicine and diagnostics. Likewise gold nanoparticles can be conjugated with various molecules, for instance, to plasmid DNA for gene therapy, to various drugs for antibacterial and anticancer properties, to several antibiotics and peptides for immunological and diagnostic purposes. The review encompasses various fields in which the gold nanoparticle conjugates have emerged as a promising tool for effective therapeutics and diagnosis. The article addresses a brief knowledge about the subject available to readers about various gold nanoparticle conjugates that have been researched. Although more work is needed to establish the toxicity concerns yet these particles have proved to be a promising therapy for the diagnosis and treatment of various diseases, especially cancer. With the cancer cells becoming resistant to anti-cancer drugs, the use of gold nanoparticles for the enhanced delivery and increased action of anti-cancer drugs has paved a new way to battling against
Reinforcement Q-learning PID Controller for a Restaurant Mobile Robot with Double Line-Sensors

The wheeled mobile robots have been widely applied in daily applications for its simplicity, robustness, stability and low-cost of manufacturing. Typically, PID controller is implemented to drive a mobile robot. However, the performance of the robot is greatly depended on the PID control parameters are tuned and the robustness of the mechanical system. Since the analog controllers were replaced by digital controller, PID control parameters could be automatically tuned to adapt the variation of the system parameters and operating condition. In this manuscript, a mathematical model is developed for a line following mobile robotic system which is used as a restaurant serving robot. The serving robot is controlled by an adaptive PID controller using Q-learning algorithm. The simulation and experimental results are compared to verify the advantage of the adaptive PID controller over classical PID controller.
Enterprise based approach to Mining Frequent Utility Itemsets from Transactional Database

— Data mining can be used extensively in the enterprise based applications with business intelligence characteristics to provide a deeper kind of analysis while meeting strict requirements for administration management and security. Business intelligence is information about a company's past performance that is used to help predict the company's future performance. ARM is a well-known technique in the data mining field, is used to identify frequently occurring patterns of item sets. Although, frequency of occurrence may reflects the statistical correlation between items, and it does not reflect the semantic significance of the items because the user's interest may be related to other factors, such as cost and profit. Utility based itemset mining approach is used to overcome this limitation. This approach identifies itemsets with high utility like high profits. A specialized form of high utility itemset mining is utility-frequent itemset mining which is for considering the business yield and demand or rate of occurrence of the items while mining a retail business transaction database. Such a data mining process will help in mining different types of itemsets of varying business utility and demand such as HUHF, HULF,LUHF and LULF itemsets. Which would significantly helps in inventory control and sales promotion. These itemsets are generated using FUM and FUFM of algorithms which also capable of identifying the active customers of each such type of itemset mined and ranking them based on their total or lifetime business value which would be extremely helpful in improving CRM processes.
Efficient Cryptography using Cellular Automata Rules

A novel cryptographic algorithm mainly depends on encryption and decryption using cellular automata. The algorithm has plaintext and key with 128bits and 12 rounds of operation. Here we are extending size of plaintext and key to 256 bits with 16 rounds of operation. This increases the security. We have increased complexity by implementing different modules such as bit-permutation, inverse bit-permutation NRCA
Predicting Instructors Performance using Data Mining Techniques

: Data mining is very important in the field of Education especially when examining the students learning behaviour. It is very useful technique to analyze and uncover the hidden information about data sets which itself is very hard and time consuming process and it is not possible to done it manually. Most of the times research in educational mining focus on students’ performance only but here we calculate the instructors’ performance using various clustering techniques over classification for better accuracy.
- 1-Title : HMOX 1 and GST variants modify attenuation of FEF 2575-decline due to PM 10 reduction Short title : HMOX 1 , GST , reduced PM 10 and FEF 2575-decline

1 Chronic Disease Epidemiology , Institute of Social and Preventive Medicine, University of Zürich, Switzerland 2 Institute of Social and Preventive Medicine, University of Basel, Basel, Switzerland Division of Clinical Chemistry and Biochemistry, University Children's Hospital Zürich, Zürich, Switzerland 4 Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA 5 Institute of Medical Genetics, Division of Medical Molecular Genetics and Gene Diagnostics, University of Zurich, Switzerland 6 Division of Pulmonary Medicine, University Hospital of Zürich, Zürich, Switzerland 7 Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts 02215, USA 8 Department of Pulmonology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands 9 Division of Pulmonary Medicine, University Hospitals of Geneva, Geneva, Switzerland
Underwater Image Processing: Technical Study and Experiments

Our ultimate objective is to develop an underwater embedded system implementing image processing capabilities, that can be integrated to Autonomous Underwater Vehicles and diving Sonars. In this scope, this paper aims at presenting a technical study of a set of image processing techniques and their applications in underwater environment. It gives a description of the major issues that are specifics to underwater image processing field, and lists some of the known references that worked on the subject. Hence, the theoretical aspect of Image Restoration, Color Correction and Image Enhancement is described. The efficiency of the selected algorithm were evaluated through simulations and showed its ability to restore and process underwater image with good performances. Keyword: Underwater Image Processing; Image Enhancement; Restoration; Color Correction; Embedded System.