Miracle-dz/UniFAR-FTUs huggingface dataset:
Taxonomy of Workflow Scheduling in Grids

Grid computing is a high performance computing environment consisting of thousands of computers, sensors and other resources which are geographically distributed or globally located. To get a work done by these grids, workflow scheduling is an important task to be considered. Workflow is concerned with the automation of procedures whereby files and data are passed between participants nodes, according to some defined rules to achieve the goals. Grid application scenarios require means for composing and executing complex workflows. This paper gives taxonomy of workflow scheduling in Grids.
A Novel Approach Based Anomaly Detection for Secure Data Aggregation Using HEED Algorithm

 Abstract: -Secure Data aggregation in wireless sensor networks (WSNs) have challenging task in Wireless Sensor Networks. WSN have numerous nodes with limited energy in a particular area are the major issues is increasing the network life time. In this paper, we propose the system monitoring modules and intrusion detection modules in WSN. We propose an HEED Algorithm based mechanism to detect false injected data for the following have challenging high potential, high packet loss rate, harsh environment, and sensing uncertainty. HEED Algorithm to create effective local detection mechanisms based the theoretical threshold. We conduct experiments and simulations to evaluate local detection mechanisms under different aggregation functions. Our proposed technique has improved the throughput with reduced packed drop, less number of packet delivery ratio and also less energy consumption in these networks. Our Technique is evaluated through NS2 Network Simulator
Zirconomer and Zirconomer Improved ( White Amalgams ) : Restorative Materials for the Future . Review

Dental caries has been considered as a historically important component of the global oral disease burden. Thus, the quest for an ideal restorative material with optimum physical properties and durability exists. There was a lack of availability and development in the field of restorative materials. Though amalgam has many drawbacks, such as postoperative tooth sensitivity, susceptibility to fracture of the restored teeth, microleakage, mercury environmental pollution, and high incidence of development of secondary caries, it has been used for more than a century as a successful restorative material. Many tooth-colored materials have evolved to replace amalgam in the recent past. The popularity of resin based composite restoration has increased because of its excellent esthetic and other favorable characteristics. However, failure is also seen in composite restoration in posterior dentition as excessive wear, polymerization shrinkage, open inter proximal contacts, tooth sensitivity, secondary caries, irreversible pulpitis, and restoration fracture. The unique properties of glass ionomer cement (GIC), such as adhesion to moist teeth, anti-carcinogenic character, lack of exothermic polymerization, excellent adhesion to dentin, close thermal expansion to tooth, satisfactory biocompatibility, make it an important material in dental applications. One of the major drawbacks is its weak mechanical properties like brittleness, low strength, and toughness. Hence GICs were mostly used for the restoration of anterior teeth and in areas without any load due to their poor mechanical strength. Several modifications have been introduced with the purpose of enhancing their mechanical properties. The introduction of resin-modified GICs with superior mechanical strength was used in the posterior restorations. Several strategies are followed to enhance the mechanical properties, such as addition of zirconia, hydroxyapatite, N-vinyl pyrrolidone, fluoroapatite, and HA/ZrO2 is a well-known method to enhance the mechanical properties of GIC. New GIC formulations called as Zirconomer® and zirconomer improved® (white amalgams) are novel materials, composed of ceramic and zirconia reinforced glass ionomer cements that could overcome the drawbacks of previously used amalgam as well as other tooth-colored restorative materials. They exhibit the strength of amalgam and at the same time maintain the fluoride releasing capacity of GICs. The aim of the current review was to present the new zirconomer family regarding their composition, properties, mechanism of zirconia toughening, previous researches about them. This is to ensure the right choice of the material for clinical purposes.
LOW POWER CLASS AB OPERATIONAL TRANSCONDUCTANCE AMPLIFIER FOR CAPACITIVE SENSORS

A low power OTA for a generic interface circuit of capacitive sensor is presented in this paper. This circuit possesses flexibility and reduces the design cost of the interface circuit. The architecture consist sensor readout circuitry followed by capacitance to voltage converter and a signal processor. This switched capacitor interface works on lower clock frequency of 8 KHz destined for the low power consumption. The capacitance to voltage conversion is accomplished using a class AB operational amplifier and correlated double sampling. This technique provides an interface for broad range of capacitive sensors.
Naïve Properties on Rough Connectives under Fuzziness

-In recent era, since implementing fuzzy concepts into the existing conventional models improve the efficiency, several hybridized models are being derived by the researchers. In this line, in 2005, G.Ganesan et. al., have introduced rough approximations on fuzzy sets using thresholds. Later, in 2008, G.Ganesan et.al., introduced an innovative way of approximating the connectives in fuzzy predicate calculus through rough sets. In this paper, additional properties of the connectives thus derived have been derived.
EXPERIMENTAL EVALUATION OF ANTI-INFLAMMATORY ACTIVITY OF HELICTRESS ISORA LINN

Hydroalcholic and Aqueous extract of Helictress isora linn leaves was investigated anti-inflammatory effect against carrageenan and histamine induced paw edema in rats. In the present study hydroalcholic showed highly significant (p≤0.001) anti-inflammatory effect when compare with control rats. Aqueous extract showed significant anti-inflammatory effect against carrageenan but less than hydroalcholic extract of helictress isora linn leaves. Hydroalcholic and aqueous extract showed significant effect against carrageenan and histamine. In both models the observation were observed 0-6hrs. Hydroalcholic extract of helictress isora linn leaves showed antiinflammatory effect near to standard group in both models. The present study indicates that hydroalcholic extract of helictress isora linn leaves may be used as an anti-inflammatory drug.
THE STUDY OF INFORMATION TECHNOLOGY EFFECT AND THE KNOWLEDGE MANAGEMENT PROCESS IMPLEMENTATION ON THE ACQUISITION OF COMPETITIVE ADVANTAGES CASE STUDY, THE PRIVATE INSURANCE COMPANIES IN SISTAN AND BALUCHESTAN PROVINCE

The main objective of the present study has been the study of information technology effect and the knowledge management process implementation on the acquisition of competitive advantages for the private insurance companies located in Sistan and Baluchestan province for the first quarter of 2014 and to do so the knowledge management has been studied from four general aspects which include the followings: the knowledge acquisition process, knowledge application, knowledge conversion, knowledge transfer and knowledge protection. To collect the information required for the literature cited section and the theoretical bases of the study the library method hs been used and for the collection of the data needed for the hypotheses tests there has been made use of the questionnaires. The results of the current study shows that the knowledge management activities and information technology exert a direct, strong and significant influence on obtaining competitive advantages for the private insurance companies located in Sistan and Baluchestan province.
Functioning on the psychophysical level and the quality of life of people suffering from oncological diseases

Introduction: The aim of this research was to define the relations between a treatment type and the quality of life of people suffering from oncological diseases, and to examine factors differentiating the ill’s quality of life at the level of physical, cognitive, emotional and social functioning, taking into account cause and symptom treatment. Material and methods: The research focusing on the quality of life was conducted in two groups of patients whose division depended on a treatment type and care they were exposed to. 80 patients took part in the research. The first group consisted of forty patients who were subject to cause treatment, undergoing chemotherapy at that time. The patients in the latter group were subject to symptom treatment, in the care of a home hospice. The research used a tool for measuring the quality of life – EORTC QLQ-C30. Results and conclusions: The research results show that the quality of life of patients treated for the underlying causes of their symptoms does not differ from the quality of life of patients treated solely for their symptoms, and only patients’ social functioning differentiates the groups. The study also shows that the quality of life of cancer patients correlates with their physical, social, cognitive and emotional functioning. Adres do korespondencji: mgr Anna Machnik-Czerwik NZOZ Poradnia Opieki Paliatywnej
GLYCEMIC CONTROL WITH DIFFERENT TYPES OF INSULIN IN THE MANAGEMENT OF GESTATIONAL DIABETES MELLITUS

Background: Gestational diabetes mellitus is one of the most common medical complications of pregnancy. It has been demonstrated that good metabolic control maintained throughout pregnancy can reduce maternal and fetal complications in diabetes and insulin is considered as gold standard for the management of GDM. Aim: To compare the efficacy of regular insulin with rapid acting insulin in combination with intermediate acting insulin in the management of GDM. Methods: It is a retrospective review analysis of two groups of patients, in whom one group of patients was started with regular insulin and another group of patients on rapid acting insulin with one dose of isophane insulin at bed time and results were compared in terms of mean glucose values, neonatal birth weight, amniotic fluid index, period of gestation and neonatal hypoglycemia. Results: The mean glucose value in rapid acting insulin group was 108.2mg/dl whereas it was 116.4mg/dl with regular insulin group. The mean AFI and period of gestation in rapid acting group was 10.6 cms and 38 weeks 5 days respectively in comparison with 13 cms and 37 weeks 3 days for regular insulin group. 60% of the babies in regular insulin group had neonatal hypoglycemia and it was 30% for rapid acting group. Conclusion: It was found that rapid acting insulin along with isophane insulin (NPH) at bed time had better glycemic control in comparison with only regular insulin.
MENTAL HEALTH STATUS AMONG NURSES IN A TERTIARY CARE HOSPITAL, KOLKATA

Background: The strain caused by occupational differentials among nurses may lead to chronic and acute physiological responses, psychological reactions and Behavioural changes, and a possible decrease in functional capacity and work ability. Purpose: The primary focus of this study is to estimate the prevalence of depression, anxiety and stress, and their correlates , in the nursing workforce of Medical College Hospital (MCH), Kolkata, India. Methods: Hospital based cross sectional study was conducted at MCH, Kolkata, during the period from April to September, 2015 enumerating all nursing professionals (n=545) with a interviewer administered questionnaire & DASS21; SPSS16 version was used for analysis . Results: Workload (history)was a good predictor of depression [AOR= 2.19 (1.10 – 4.38)] , anxiety [AOR= 4.81 (2.32 – 9.94)] and stress [AOR= 6.84 (3.83 -12.21) ] respectively when adjusted with relevant variables. Implication: NCD risk factors emerged as significant contributors to Mental health status; so nurses, if necessary, should make change to their life style to ensure a good work-life balance
Multistage Fuzzy Classifier Based Phishing Detection Using LDA and CRF Features Followed By Impersonated Entity Discovery

: Phishing is aptly defined as an endeavour to grab users’ financial and personal information without their knowledge. The information stolen here are their credit card numbers, passwords and social security. All these are achieved through the execution of messaging services and e-mail via electronic communication. The main agenda in proposing this original methodology is for two executions. One is for phishing attacks detection and the other is the recognition of entity/organization that has been exploited by the attackers to execute the phishing attacks. Natural language processing and machine learning – these are the core utilization of the multi-stage methodology proposed. In this methodology the first stage is the discovery of named entities (names of locations, people and organizations) and then the discovery of hidden topics and for this the methods that supports both phishing and non-phishing data i.e. Conditional Random Field (CRF) and Latent Dirichlet Allocation (LDA) is used. Next phase is the AdaBoost stage where the named entities and the hidden topics are treated as features and the messages are classified into phishing or non-phishing. The impersonated entity in the so tracked phishing messages are accomplished through CRF. There arrives no chance for misclassification when <20% is the phishing emails’ proportion whilst the phishing attacks is detected by the phishing classifier; as per the perception of the experimental results. 100% - F-measure acquired. Discovery rate is 88.1% in our approach for detecting the impersonated entity from the phishing messages as classified. Any of the legitimate organization may be so mean to the phishing site that is completely offending as the sighting of impersonated entity in phishing is done automatically
Bacteriophages in Biofilm Control

Biofilms or bacterial growth in the form of surface adhering communities that are protected by an encompassing exopolymeric matrix and which operate via a quorum driven gene regulation system have redefined the study of basic and applied microbiology. Microbial biofilms show genetic and phenotypic heterogeneity that confer on its residents a heightened protection from a variety of environmental stressors including antimicrobial compounds. Such microbial growth forms thus become the cause of recalcitrant acute and chronic infections as well as induce biofouling and biocorrosion in industry and environment alike.
Performance Analysis of UPQC for Non-Linear Load by Using MATLAB

Abstract In this paper, a simplified control algorithm for a three-phase, unified power quality conditioner (UPQC) is presented to compensate for supply voltage distortions/unbalance, supply current harmonics, the supply neutral current, the reactive power and the load unbalance as well as to maintain zero voltage regulation (ZVR) at the point of common coupling (PCC). The UPQC is realized by the integration of series and shunt active filters (AFs) sharing a common dc bus capacitor. The shunt AF is realized using a three-phase voltage source inverter (VSI) and the series AF is realized using a three-phase, three leg VSI. A dynamic model of the UPQC is developed in the MATLAB/SIMULINK environment and the simulation results demonstrating the power quality improvement in the system are presented for different supply and load conditions.
An Observer-Based Optimal Voltage Control Scheme for Three-Phase UPS Systems using Fuzzy Logic

– This paper proposes a simple optimal voltage control method for three-phase uninterruptible-power-supply systems. An UPS also known as uninterruptable power supply, or battery/flywheel backup is an electrical apparatus that provides emergency power to a load when the input power source or mains power fails. AC voltage controller electronic module based on either thyristors, TRIACs, SCRs or IGBTs, which converts a fixed voltage, fixed frequency alternating current (AC) electrical input supply to obtain variable voltage in output delivered to a resistive load. The proposed voltage controller is composed of a feedback control term and a compensating control term. The former term is designed to make the system errors converge to zero, whereas the latter term is applied to compensate for the system uncertainties. Moreover, the optimal load current observer is used to optimize system cost and reliability. Particularly, the closed-loop stability of an observer-based optimal voltage control law is mathematically proven by showing that the whole states of the augmented observer-based control system errors exponentially converge to zero. Unlike previous algorithms, the proposed method can make a tradeoff between control input magnitude and tracking error by simply choosing proper performance indexes. The effectiveness of the proposed controller is validated through simulations on MATLAB/Simulink. Finally, the comparative results for the proposed scheme and the conventional feedbacklinearization control scheme are presented to demonstrate that the proposed algorithm achieves an excellent performance such as fast transient response, small steady-state error, and low total harmonic distortion under load step change, unbalanced load, and nonlinear load with the parameter variations. A fuzzy logic controller to improve the voltage total harmonic distortions and steady state and transient state responses to get less harmonic distortions than fuzzy less observer voltage controller.
Study of Energy Consumption in DSR using NS2

— A mobile ad hoc network is a self organizing temporary network. It consists of mobile nodes roaming here and there. Routing in such networks is a challenging task. Various routing protocols have been proposed since the origin of MANETS. DSR is the most popular routing protocol based on source routing. This paper is an extensive study of DSR taking various performance parameters. Effect of these parameters on energy consumption is studied in this paper. Efficient DSR is one which gives best route with minimum energy consumption and increases network lifetime.
A Conceptual Review on Data Mining in Big Data

Big data is a term used for massive collection of complex data sets. Social networking, easily available technology and devices, etc. lead to unprecedented Big Data generation in past few years. Data comes from everywhere like posts on social networking website (example Facebook, Twitter), digital photos and videos. From this large collection of data sets, useful extraction of data can be done by using data mining. Proper handling of Big Data helps to discover facts, patterns and new models, data mining techniques are used for this purpose. In this article HACE theorem has been mentioned, that portrays the features of big data and how Big data can be processed, taking data mining as a prospect. This paper presents an overview of different Data Mining techniques used to analyze Big Data. It contains reviews of thirty different research paper on Data mining techniques, we have tried to explain the uniqueness, limitations and how well the techniques is used to resolve the challenges and issues in Big Data
FREE RADICAL SCAVENGING, ANTIOXIDANT POTENTIAL, AND NITRIC OXIDE INHIBITION IN HUMAN THP1 DERIVED MACROPHAGES BY KOKILAKSHAM KASHAYAM

Objective: The aim of this study was to evaluate the antioxidant potential of Kokilaksham kashayam and its effect on the production of nitric oxide (NO) by lipopolysaccharide (LPS) stimulated THP1 derived macrophages. Methods: Kokilaksham kashayam was subjected to fractionation and assessed for antioxidant activity. The effect of fractions on cell viability was determined using 3-(4,5 – dimethylthiazol -2-yl)-2,5-diphenyltetrazolium bromide assay and the fractions were evaluated for their effect on the production of NO by LPS stimulated THP1 derived macrophages. Results: It was found that the fractions of the herbal decoction were able to scavenge a variety of free radicals 2,2-diphenyl-1-picrylhydrazyl, 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid, NO, and hydroxyl radical. Ferric reducing antioxidant power assay showed the antioxidant capacity and cell culture studies in THP derived macrophages showed that the fractions inhibited the production of NO in LPS-stimulated THP1 derived macrophages. Conclusion: The overall study showed that the proinflammatory role of free radicals in general and specifically NO in chronic inflammatory condition could be managed by the use of Kokilaksham kashayam. The inhibitory effect of Kokilaksham kashayam on NO production and free-radical scavenging activity, in general, proves that the vital phytoconstituents in the herbal decoction are responsible for the antioxidant activity thereby preventing or slowing the process of chronic inflammatory conditions.
Acoustic Phenotypes of an Alpine European Common Frog Population

In this work we studied the acoustic variability in the induced release call on wild populations of the European common frog Rana temporaria. We used a computational model to analyze the induced release calls in both sexes. Our analysis detected three different acoustic phenotypes: (a) Non-canonical males comprised a large part of the population and were the main cause of the biased sex ratio (Phenotype 2), since (b) canonical males (Phenotype 1) and (c) canonical females (Phenotype 3) had close to a 1:1 ratio. Phenotype 2 were much more abundant in locations were tadpoles were exposed to high water temperatures during their development, suggesting that a masculinizing effect of temperature is responsible for the biased sex ratio, and a likely origin for “pirate” males which search for newly laid clutches to fertilize not fertilized eggs by the “parental” males.
EVALUATION OF ANTIGOUT ACTIVITY OF BRYOPHYLLUM CALYCINUM LEAVES EXTRACTS ON POTASSIUM OXONATE-INDUCED GOUT RAT MODEL

Objective: The present study has been conducted to evaluate antigout activity of aqueous and alcoholic extracts of Bryophyllum calycinum leaves on potassium oxonate-induced gout rat model. Method: The study was conducted on Sprague-Dawely rats dividing them in eight groups having six rats in each group. Rats were fasted for 16 hr before potassium oxonate injection. After 1 hr. of Oxonate injection, blood samples were collected for parameter evaluation for control group. Allopurinol was given to the standard group and different test extract, each extract with three different doses i.e. 100, 150, 200 mg/kg were given to treated groups T1,T2,T3,T4,T5 for consecutive 5 days. Blood samples were taken on 5 day for evaluation of anti gout activity of test extracts of Bryophyllum calycinum. Results for parameter evaluated for treated groups were compared with standard group. Results: At the end of study, rats of gout control group showed increase in platelets counts, serum creatinine, uric acid, blood urea nitrogen (BUN), and xanthine oxidase (XO) enzyme level along with alterations in kidney tissues as compared to vehicle control group. Gouty rats treated with aqueous and alcoholic extracts of Bryophyllum calycinum at 200 and 400 mg/kg body weight and standard treatment Allopurinol at 5 mg/kg body weight showed reduction in platelets counts, serum creatinine, and uric acid, BUN, and XO enzyme level. Conclusion: Oral administration of aqueous and alcoholic extracts of Bryophyllum calycinum leaves has shown protection against gout in dose-dependent manner in rats.