Miracle-dz/UniFAR-FTUs huggingface dataset:
Chitosan in Dentistry

1 BDS,Saveetha Dental College. Chennai, Tamilnadu 2 Conservative and Endodontics, Saveetha Dental College Chennai, Tamilnadu 600077 India Email: kentrick90@gmail.com Abstract To elaborate on the uses of chitosan in various field of dentistry. Along with its properties and mechanism of action.Chitosan is a linear polysaccharide composed of randomly distributed β-(1-4)-linked Dglucosamine (deacetylated unit) and N-acetyl-D-glucasamine. Chitosan is a sugar that is obtained from the hard outer skeleton of shellfish, including crab, lobster, and shrimps. It has a number of commercial and possible biomedical uses (1) . In medicine, it may be useful in bandages to reduce bleeding and as an antibacterial agent; it can also be used to help deliver drugs through the skin, hemodialysis, cholesterol control, calcium absorption, bilirubin absorption, and hypertension control (2) .
Analysis of Direct Torque Controlled Techniques for Induction Motor Drives with Two Level Inverter

— The objective of the present work is to obtain the reduced torque ripples, harmonics distortion. Duty Ratio Control has been developed to improve the torque performance and to obtain the voltage space vector required to compensate the flux and torque errors. In conventional Direct Torque Control (DTC), the selection of flux linkage and electromagnetic torque errors are made within the respective flux and torque hysteresis bands, in order to obtain fast torque response, low inverter switching frequency and low harmonic losses. However, DTC drives utilizing hysteresis comparators suffer from high torque ripple and variable switching frequency. As in duty ratio control technique, instead of applying a voltage vector for the entire switching period, it is applied for a portion of the switching period and the zero switching state is applied for the rest of the period the ripples is considerably reduced. In this paper the simulation of different DTC schemes (Conventional DTC and Duty Ratio Control DTC) has been carried out using MATLAB/SIMULINK and the results are compared. This presents a comparative study of different direct torque control strategies of induction motor drive based on their simulation results. Two direct torque control strategies (Conventional DTC and Duty Ratio Control) are compared. A comparative analysis among the conventional direct torque control and duty ratio control, strategies are made by simulation in MATLAB/SIMULINK.
Dynamic Task Scheduling Algorithm based on Ant Colony Scheme

—Many scientific applications running in Cloud Computing system are workflow applications that contains large number of tasks and in which tasks are connected by precedence relations. Efficient scheduling the workflow tasks become a challenging issue in Cloud Computing environments because the scheduling decides performance of the applications. Unfortunately, finding the optimal scheduling is known as NP-hard. Ant Colony Optimization algorithm can be applied to design efficient scheduling algorithms. Previous scheduling algorithms that use Ant Colony mechanism lack rapid adaptivity. This paper proposes a task scheduling algorithm that uses a modified Ant Colony Optimization. The modified version uses probability in order for ants to decide target machine. The proposed task scheduling algorithm is implemented in WorkflowSim in order to measure performance. The experimental results show that the proposed scheduling algorithm reduce average makespan to about 6.4% compared to a scheduling algorithm that uses basic Ant Colony Optimization scheme.
SOCIO-ECONOMIC DETERMINANTS OF ERITREA’S SAVINGS AND MICRO CREDIT PROGRAM LOAN REPAYMENT PERFORMANCE: A CASE OF THE DEKEMHARE SUZ-ZONE

The Savings and Micro Credit Program of Eritrea was established to provide financial services to the poor and lower income individuals to enhance their business activities and alleviate poverty level. The study analyzed the socio-economic factors that affect the institution’s loan repayment performance and a sample of 140 beneficiaries was fixed from the Dekemhare Sub-Zone using the Stratified Sampling technique. A structured questionnaire was used to collect the primary data and descriptive statistics and the probit model were employed to analyze the data. Results of the regression analysis revealed that the level of education, loan amount and loan category have insignificant effect on the probability of the SMCP loan repayment. On the other hand age, gender, type of business and credit experience are significant determinants where age and type of business have negative relationship and gender and credit experience have positive relationship with the loan repayment probability.
A Study of Consensus Problem in Multiagent System

- This paper studies the consensus problem in a multi-agent system with random delays governed by a Markov chain. The communication topology is assumed to be directed and fixed. With first order dynamics below the sampled data setting, we first convert the original system into a reduced-order one featuring the error dynamics. Accordingly, the consensus problem is converted into the stabilization of the error dynamic system. Thereafter, based on the theory in stochastic stability for time delay systems, a necessary condition is established in terms of a set of linear matrix inequalities (LMIs). The mean square stability of the error dynamics is shown to guarantee consensus of the multi-agent system. By explicitly incorporating the transition possibility of the random delay into consideration, the conservativeness in control design is reduced. A delay-dependent switching control scheme is studied. Based on the solutions of an algebraic Riccati equation and an algebraic Riccati inequality, a procedure to select the control gains is provided and stability analysis is considered by using Lyapunov’s method. A distributed, robust, dynamic, control law is studied such that connectivity preserving rendezvous is achieved regardless of the unknown non-linear dynamics and disturbances.
Performance Analysis of Turbo Code using EXIT Chart in Cooperative Communication

Whenever size, power or other constraints precluded the use of multiple transmit antennas, wireless systems cannot benefit from the well-known advantages of space time coding methods. Cooperation between wireless users has been proposed as a means to provide transmit diversity in the face of this limitation. This paper firstly analyse an ad-hoc network with a sender, a destination and a third station acting as relay is analyzed. Secondly in this paper Cooperative communication is performed with various well-known codes like convolution code and Turbo code. Using convolution code with cooperative communication provides full diversity and excellent coding gain. Turbo code offer better performance than Convolutional coding, Punctured Convolutional coding, Alamouti Scheme. [3] The turbo like decoding algorithm generally does not converge to a maximum-likelihood solution, although it is able to it is able to provide a good performance in practice. In this paer mostly extrinsic information transfer charts is used as tool to analyze the convergence behavior. We first design a PCCC-ID scheme for the sake of achieving decoding convergence at low SNR, using EXIT charts. Then invoke this PCC-ID scheme for cooperative communication, where the source employ PCCCID encoder and the relay encoding, interleaving and reencoding which is then combined at destination using MRC. [5]
Sentiment Analysis by Three Side Review for Text Messages using Trust Based Collective View Prediction

Now a day’s digital communication plays a vital role in the communication era. In the evolution of mobile based communication such as voice, text, MMS; there is a possibility of mistreat the medium such as exchanging the offensive words during the text based communication. In this paper, sentiment classification focuses on mobile based SMS with its maximum text character of 160 as a Bag of Words (BOW) and analyze the BOW for finding the possibility of offensive language or unpronounced words that is not in the pseudo antonym dictionary. Using natural language processing, the three side review is made for the text message such as original, reverse and break through words (BTW) to extent the possibility of finding the nature of words. A trust based collective (TBC) view prediction algorithm is proposed to classify the text by considering the three sides of one review and also extend the framework from polarity (positive or negative ) classification to three-class (positive, negative or neutral) classification. For removing dependency on an external antonym dictionary for review reversion a corpus based method is developed to construct a pseudo-antonym dictionary. In this approach, exchange ideas between individual and groups can rich in good text or vocabulary and share their thoughts as future memories.
Metabolic Profiling of Eclipta prostrata L.: Potentials of Untargeted Metabolomics in Traditional Medicine

We have demonstrated the use of untargeted metabolomics- a high-throughput analysis to probe the small molecule landscape of natural products based traditional medicine. The approach provides a global perspective on the quality of such natural medicine and the depth of secondary metabolites present in them. We utilized Eclipta prostrata L. as an example to demonstrate the utility of LC-MS and GC-MS based untargeted metabolomics. The mentioned research utilized three different preparations and successfully demonstrated the small molecule landscape differences in these samples. Preliminary statistical analysis using R-based web programs, indicated the samples grouped well indicating batch-to-batch consistency. Heatmaps generated from LC-MS and GC-MS data indicated the difference in abundance of various small molecules across the samples.
Age at Smoking Onset, Nicotine Dependence And Their Association With Smoking Temptation Among Smokers

Age at starting smoking is one of the determinant factors of nicotine dependence levels and smoking temptation. This study was aimed to determine the age of smoking initiation and nicotine dependence and their association with smoking temptation in smokers. In this cross-sectional study, 642 smokers from two cities in Iran (Gorgan and Isfahan) were recruited by convenience sampling between the years 2012-13. Data collection methods included a demographic questionnaire, Fagerstrom nicotine dependency test and cigarette smoking craving situations questionnaire of Velicer et al. The average age at smoking onset was 19.16 ± 5.88 years. There was a significant correlation between the age at smoking onset, nicotine dependency, cigarette craving and number of daily smoked cigarettes (p <0.001). The average scores of nicotine dependency test among those who had started smoking at the age of less than 16 years were significantly higher compared to those who started smoking at the age of 16 or older (p <0.001). There was a statistically significant difference between the average scores of smoking temptation and nicotine dependence levels (p <0.001). The results showed that, the lower the age at starting smoking is, the higher will be the level of nicotine dependence, cigarette craving, and number of daily consumed cigarettes. Therefore there is an essential need for specific treatment interventions for smoking cessation in people with high nicotine dependence and earlier smoking age of onset.
Analysis of Notch in Microstrip Antenna

To enhance the performance, various methods have been applied to design the antenna. Still the scope remains unchanged in antenna research. Antenna has a prime role in wireless communication. In recent years, researchers have focused on improvement of the UWB antennas. UWB has attractive merits compact size, low cost, resistant to severe multipath and jamming, ease of fabrication, and good omnidirectional radiation characteristics. However, the use of the 5.15 to 5.825 GHz frequency band has been limited by IEEE 802.11a for wireless local area network (WLAN) systems. To avoid the interference between the UWB and WLAN systems, a band-notch filter in UWB systems is necessary. However, the use of a filter will increase the complexity of the UWB system. Therefore, a UWB antenna having frequency band-notch characteristic can be an alternative choice to overcome this problem. The effect of notch in the microstrip antenna has been analyzed in this work. The results have been shown for both without notch and with
Performance Analysis of Syllable Based Tamil Language Robust Speech Recognition System Using Modified Group Delay Function, Gammatone Cepstral Coefficients, Hidden Markov Model and Deep Neural Network

In the developing Natural Language Processing (NLP) technologies, Automatic Speech Recognition (ASR) plays a vital role in transmitting the speech data with efficiency and accuracy. The speech has been recognized by using the automatic speech recognition process which uses various languages while detecting the speech. ASR system is available for various languages, the proposed system uses the Tamil language based automatic recognized system with the help of the different models such as speech segmentation for extracting the syllables based on Modified Group Delay Function with Gammatone Cepstral Coefficients (GCC) related features from the audio signal, hybrid Deep Neural Network (DNN) and Hidden Markov Model (HMM) based Acoustic model and DNN based Language model in an effective manner. The segmented syllables are classified by using the syllable based acoustic model using DNN – HMM with syllable based language model using DNN. So, in this paper, the performance of the system is evaluated with the help of the two different databases such as Indian Institute of Information Technology – Hyderabad (IIIT-H) and Indic speech corpus and Linguistic Data Consortium for Indian Language (LDC-IL) compared with various metrics such as Signal to Noise Ratio, Root Mean Square Error, Entropy, accuracy of extracted features, detectability, execution time, sensitivity, specificity, and recognition accuracy and so on.
Who Will Go Out and Play? Parental and Psychological Influences on Children’s Attraction to Physical Activity

Identifying social and psychological influences affecting children’s attitudes about physical activity is an important step in understanding individual differences in children’s activity involvement. This study examined the influence of parental socialization and children’s psychological characteristics upon attraction to physical activity. Fourth-grade children (N=81) completed questionnaires assessing perceived physical competence and attraction to physical activity. Parents also completed questionnaires assessing their physical activity orientations and level of encouragement of their child’s physical activity. A proposed model linking four sets of social and psychological variables was tested through path analysis. The results generally supported the hypothesized model and suggested that parental physical activity orientations, parental encouragement levels, children’s gender, and children’s perceived physical competence are important influences upon children’s attraction to physical activity.
Lipase catalyzed esterification of caprylic acid with residual glycerol from biodiesel production

On an industrial scale, diacylglycerols and triacylglycerols are traditionally obtained either by extraction or transesterification/ inter-esterification of oils and fats. However, the esterification of glycerol with fatty acids using soluble or insoluble lipases as catalyst represents an alternative, with the advantage of milder reaction conditions when compared to traditional processes. Nowadays, the main reagents for enzyme catalyzed esterification reactions are plentiful and inexpensive. Acylglycerols and fatty acids with chain length shorter than ten carbon atoms, such as monocaprylin, besides their inherent surfactant properties, also present an antimicrobial activity, which enables their use as food preservatives or pharmaceutical/cosmetic ingredients. This paper proposes the use of residual glycerol from biodiesel manufacture as a starting material in esterification reactions with caprylic acid for the synthesis of acylglycerols using immobilized lipase as catalyst. In this context, environmentally friendly synthesis of such high-added value derivatives using biocatalysts are associated with a currently important waste recovery. Additionally, a concise approach of important aspects of glycerol, caprylic acid, lipases, caprylins as a target product, as well as alternative ways to produce them, are presented in this paper and analytical methodology for the reaction monitoring is proposed. These products have widely application in the pharmaceutical, chemical, and food industries.
Speckle Noise Reduction based on Discrete Wavelet Transform

Medical images or ultra sound images are typically used in the medical fields for lots of purposes. Many problems occurred in the medical images. Main problem related to this imaging technique is introduction of speckle noise which blurs or degrades the superiority of the image. Speckle noise makes the image indistinct which is tough to see clearly. There have been several techniques to de-noise the speckle noise from the images. The main goal of this thesis is that this proposed DWT+Wiener filter technique is better denoising technique than the other traditional techniques such as: wiener filter, median filter, homomorphic wiener filter and homomorphic median filter to remove the speckle noise from the image. It gives the better PSNR (peak signal to noise ratio) value than the other filters. This shows the better denoisy image or clear image than the other traditional filter techniques.
A Methodological Survey on Load Balancing Techniques in Cloud Computing

— Cloud computing offers a variety of dynamic flexible resources to expedite the processing of large scale tasks in pay-by-use manner to public. In that, resource distribution and the effective load balancing among the available resources in heterogeneous environment is a major concern. Load balancing is employed across different data centers in order to establish network availability and to increase the network capacity. Moreover, the method is required to allocate dynamic workloads equally to all the nodes across cloud network. Proper load balancing technique helps in implementing fail-over, avoiding bottleneck problems, enabling scalability, optimizing resource allocation etc. This paper presents a survey about dynamic load balancing strategies directed on cloud data storage on workloads. The study also focuses on various metrics for load balancing in clouds that tends to analyze the efficacy of existing techniques. Associated overhead, response time, performance and scalability are some of the major parameters that are considered here for analysis.
ANTIBACTERIAL, RADICAL- SCAVENGING ACTIVITIES AND CYTOTOXICITY PROPERTIES OF PHALERIA MACROCARPA (SCHEFF.) BOERL. LEAVES IN HEPG2 CELL LINES

Antibacterial, and radical scavenging activities of four crude extracts of Phaleria macrocarpa (Scheff) Boerl. ) leaves extracts and its active crude cytotoxic properties in HepG2 cells were investigated. The susceptibility bacteria tests were performed by the Mueller Hinton agar well diffusion method. The Radical scavenging activity was measured by the 1,1-diphenyl-2picrylhydrazyl (DPPH) method, while antioxidant potency was tested by DPPH TLC bioautographic assay. The cytotoxic was measured by the MTT assay against human hepatoma cell lines (HepG2). Crude extract MMD showed an equally good activity against Pseudomonas aeroginosa, and strong activity against Bacillus cereus and Streptococcus aureus, with the inhibition zone having diameter between 15-18mm. Crude extract EMD showed has activity against all bacteria compare others, an equally good activity against Escherichia coli, Klebsiella pneumonia and Streptecoccus ubellis, and has strong activity against Pseudomonas aeroginosa, Bacillus cereus and Streptococcus aureus, with the inhibition zone having diameter between 15mm 27mm. The lowest activity showed for HMD and CMD (diameter<10mm). Crude extract of MMD and EMD exhibited a strong and moderate radical scavenging with the inhibition percentages are 79% and 76% respectively. Crude extract of HMD and CMD exhibited a low free radical scavenging with the inhibition percentages in the range between 59-69%. EMD and MMD extracts exhibited low mildly cytotoxic effect against HepG2 cell line giving IC50 values between 30-60 μg/mL.
Chemical Plant Design for the Production of Ammonia through Haldor Topsoe Process Route: Simulation using Plant Design Management System

Chemical plant design for the production of ammonia through Haldor Topsoe process route is presented. It involves the simulation of ammonia production plant with high energy efficiency and lower production cost. Material and energy balances of the complete process were determined using laws of conservation of mass and energy respectively. The material balance was taken to determine the quantities of raw materials required and ammonia produced. And the energy requirements were obtained from the energy balances. Plant Design Management System (PDMS) was used to simulate the process flow diagram. Economic tools of rate of return and payback period were used to determine the viability of the plant. Safety and plant location factors were considered. From the design analysis, plant production capacity of 640,288.800 metric tonnes per year was obtained. The energy required by the converter for the ammonia production is 241412233.8 kJ/hr (-68974.94 kW). The overall reaction is highly exothermic, and the primary reforming process is characterized by a low pressure. Plant Design Management System software is adequate for the simulation process. The plant required a total investment cost of #63.68 x 10 10 ($1.8 x 10 9 ) with 5.17% rate of return, and payback period of six years. Procedure for hazard communication standard, that will ensure adequate safety, was recommended. Emene (in Enugu State, Nigeria) is found suitable for the installation of the ammonia plant. The geographical location of Emene will contribute immensely to the success of ammonia business venture.
A Sentimental Analysis for YouTube Data using Supervised Learning Approach

: As there are lots of social media applications which are getting closer to the users in very less time. So as the users are so much excited to interact with this application. There are lots of social media application which is booming are Facebook, Twitter, YouTube etc. So in this application users can not only see the content posted even they can also post their feelings what they are feeling after seeing the content. In YouTube there are lots of channels which are increasing day by day and the channel manager post the content according to their channel, so they need to analyze the customer's feedback or reviews which is posted on the contents. If these comments and feedback get analyzed the channel manager will get some decisions according to customers whether the customers are liking the content or not. If there is any requirement of changes in the content by looking at the reviews they can easily change. So for doing the sentiment analysis of customer reviews, different classification algorithm has been taken such as Decision Tree, K Nearest Neighbors and Support vector machine. Then the algorithm which is giving the highest accuracy is taken for building the model which will work as sentiment analysis model for other channel managers.