Miracle-dz/UniFAR-FTUs huggingface dataset:
Inferring User Search using Feedback Session and Semantic Search

Different users may have diverse search goals for ambiguous queries when they put forward it to a search engine. Search engine relevance and user experience are enhanced by the analysis of user search goals. In this work, a novel approach has been proposed to infer user search goals for a query by clustering its feedback sessions represented by pseudodocuments. First, goals of particular queries by clustering feedback session are found which depends upon user click through logs. It can efficiently replicate goals of users. Secondly, to estimate query texts in user minds, clustered feedback session is mapped to pseudo documents. Then ‘CAP’ (Classified Average Precision) is used to appraise performance of user search goals. Finally, a new criterion is “Semantic code” is proposed in which one can find out a particular aim of user’s search.
The Basis and Structure of Attitudes:

The definition of an attitude has remained free from complete consensus and there are, as has remained the case over time, many different definitions. One early yet basic definition by Edwards [1] suggests an attitude to be the degree of positive or negative affect held for a psychological object. A more detailed operationalized definition still widely accepted today is that of Zanna and Rempel [2] who suggest, “we regard an attitude as the categorisation of a stimulus object along an evaluative dimension based upon, or generated from, three general classes of information: (1) cognitive information, (2) affective/ emotional information, and/or (3) information concerning past behaviours or behavioural intentions”.
Modelling and Control System Design for Electro Magnetic Suspension System

when any vehicle runs on the road, it is subjected to bump and potholes which result in vibration that affects the passenger comfort and vehicle handling. The suspension system is an assembly of tires, springs, shock absorbers and linkages that connect a vehicle to its wheels and is used to absorb and damp out the road shocks. In designing of suspension, it is characterized by the suspension which has low spring stiffness, low damping rate which results in large suspension travel, while suspension having high damping rate is good for better handling that results in small suspension travel. These two contradictory needs the requirement of suspension with varying damping rate. This paper describes the design and simulation of a magnetic suspension system for the quarter car. Here in the designed suspension system, the damping value can be varied by changing the electric current supply in the electromagnet. Basically, this system works on Levitation technology, in which pre-defined air gap is maintained due to magnetic repulsion. Here two types of the controller are designed that is look-up table and fuzzy rules to maintain the predefined air gap. Here, when the bump comes, the air-gap fluctuation is sensed by the air sensor and this changed value of gap send to the controller and with respect to this air-gap value the current value from the look-up table or from fuzzy is decided by the controller and sends to voltage amplifier. Voltage amplifier should send that much current toward the electromagnet to vary the repulsion force which results in maintaining the predefined required air gap. Both Look-up tables and fuzzy rules are compared and validate the results.
Comparative Study of Carrier-Based Pwm Techniques for Control of Double-Star Modular Multilevel Converter Using Half Bridge Cells

1 Department of Electrical Engineering, Centro Federal de Educação Tecnológica e Minas Gerais – CEFET MG, 7675 Ave. Amazonas, Nova Gameleira, 30510-000, Belo Horizonte MG, Brazil. 2 Professor, Department of Control and Automation and Fundamental Techniques, Universidade Federal de Ouro Preto UFOP, 122 St. Diogo de Vasconcelos, Pilar, 35400-000, Ouro Preto MG, Brazil. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The aim of this study is to compare the performance of the Half Bridge Double-Star Multilevel Converter (represented as M2C) for medium-voltage applications using different PWM techniques based on multilevel level and phase shifted carriers and a method of capacitor balancing and circulation voltage control where it is used a single closed-loop control system without the addition of an external circuit. The criterion to be analyzed in this comparison will be the DHT of the output voltage and current as well as the current waveform. It will be assessed which types of modulation techniques benefit the capacitor balancing for the proposed system and the improvements that can be made. In addition to the investigation of which is the most effective, this study will also address the influence of the armature inductances of the converter in terms of the total harmonic distortion (THD) of the output current and line voltage for each proposed technique, as well as the range of freedom of variation of the frequency modulation index ( ) of the carriers in situations of low commutation, therefore observing until what level it is possible to offer current and voltage for the load with small distortion through simulations in the Matlab/Simulink platform
Translation of Geographical Dialect in Life and Death Are Wearing Me Out From the Perspective of Specificity

Life and Death Are Wearing Me Out is the representative work of Mo Yan with a great many of geographical dialects, which can convey the regional characteristics and the theme of this novel. A good translation version by Goldblatt can transmit the original text meaning for western people. The paper aims to study the geographic dialect translation in Mo Yan’s novel Life and Death Are Wearing Me Out in the light of specificity of Construal theory for the purpose of proving the feasibility of specificity in geographical dialect translation. Higher level of specificity can make the translation more detailed and precise by the use of annotation and further explanation, while lower level of specificity can guide translators using omission in their translation process to achieve the concise effect. Guided by proper specificity, remarkable translation of geographical dialect can be produced by taking advantage of suitable translation methods, which is conducive to the understanding of Mo Yan’s novel for the western readers.
Magnetite nanoparticles (Fe3O4) synthesis for removal of Chromium (VI) from waste water

In this study adsorption behavior of Cr(VI) investigated by high adsorption iron oxide (Fe3O4) nanoparticle under experimental conditions of the initial concentration and pH of chromium hexavalent by Fe3O4 nanoparticles from waste water. Magnetite nanoparticles synthesized by sol-gel method and characterized by UVVisible spectroscopy, XRD, EDAX, SEM and TEM. The adsorption efficiency was explained in terms of Freundlich equation. In this study we conclude that magnetite (Fe3O4) have potential in removal of chromium hexavalent from waste water.
EFFECT OF MYO INOSITOL VERSUS METFORMIN ON QUALITY OF LIFE IN POLYCYSTIC OVARIAN SYNDROME IN WOMEN

Introduction: In polycystic ovary syndrome (PCOS), changes in physical appearance i.e. weight gain and body hair, menstrual disturbances and infertility result in psychological distress and reduced quality-of-life. Metformin and Myo-inositol being insulin sensitizers improve biochemical, clinical and reproductive parameters in PCOS in women.This study was done to compare the quality of life of Myo-inositol versus Metformin in PCOS in women. Material & Methods: A prospective, open labeled, randomized, comparative, clinical study was conducted on 60 patients. The patients were randomly divided in two groups of 30 each to receive either of the following two treatments: Group A: Tab Myo-inositol 1g twice daily. Group B: Tab Metformin 500mg thrice daily for 24 weeks. QOL assessment was done by HRQOL questionnaire by Cronin et al. at week 0, 12 and 24. Five domains i.e. emotions, body hair, weight, infertility and menstrual problems were assessed. Results: There was significant improvement in QOL parameters, in all the five domains in both the groups over a period of 24 weeks. However, on comparing both the groups at 24 weeks, there was no significant difference in all the five domains. Conclusion: Metformin and Myo-inositol are used for the treatment of PCOS. These drugs improve insulin resistance, menstrual irregularities, hyperandrogenism and infertility. QOL which is reduced in PCOS, was assessed by the administration of both of these drugs. Although there was a definite improvement in QOL with both types of treatment in PCOS in women but on comparing both the groups no significant difference was observed.
Diagnosis of Diabetes Using Support Vector Machine and Ensemble Learning Approach

 Abstract — In recent years, support vector machines (SVMs) have shown good performance in a number of application areas. The existing system is concentrated on the discovery of risk of having pre-diabetes or undiagnosed diabetes and to facilitate people decide whether they should see a physician for further evaluation. It is also focused on both the noninvasive and metabolic factors, which should require blood sampling and laboratory measurements, such as high density lipoprotein (HDL), and cholesterol (CHOL). However the existing system ahs issue with prediction results by using c4.5, naïve bayes tree and neural network algorithms. To avoid the above mentioned issue we go for proposed system. In proposed scenario, we introduced an efficient algorithm named as Support Vector Machine (SVM) which is utilized to screen diabetes, and an ensemble learning module is added. It turns the “black box” of SVM decisions into comprehensible and transparent rules, and it is also useful for solving difference problem. The proposed system is used to develop an ensemble system for diabetes diagnosis. Specifically, the rules are extracted from the SVM algorithm and it is applied to provide comprehensibility and transparent representation. These rule sets can be regarded as a second opinion for diagnosis and a tool to screen the individuals with undiagnosed diabetes by lay users. From the experimental result, we can conclude that the proposed system is better than the existing scenario in terms of reduction of the incidence of diabetes and its complications.
Antiviral Sulphated Polysaccharide from Brown Algae Padina pavonia Characterization and Structure Elucidation

The hot water extract of brown alga Padina pavonia was fractionated into a neutral fraction P1 and a sulphated heteropolysaccharaide P2. Based on the antiviral activity P2 was fractionated by size exclusion chromatography into EPS-1 and EPS-2 with molecular weight of 160 and 85 kDa, respectively. Fucose and galactose were major sugars in EPS-1. The chemical structure of EPS-1 was elucidate by using periodate and Smiths degradation methods. Xylose was found to be a branched point of main chain at C5 of xylofuranose linked by (1---3)-glycosidic linkages. While glucose residues are located in the terminal units of side chains and main chain linked mainly by (1---4)-glycosidic linkages. Also the results showed that mannose and fucose are present in the main and/or side chains and linked mainly by (1---4) and (1---3)-glycosidic linkages, respectively. EPS-1 showed a marked antiviral activity against both HSV and HAV. Its inhibition effect against HSV was 72.3 % where against HAV was 73.3% at concentration of 20 μg/ml.
FPGA Implementation of Image Enhancement Using Gabor Filter

The aim of Image Enhancement is to improve the specific features of an image. Gabor filter will help in enhancing the quality of an image. By tuning the filter to a particular frequency and direction the local frequency and orientation information can be obtained. The complex part in fingerprint identification process is the finger print image enhancement. Here we study the features of multipurpose Gabor filter by implementing the filter along with finger print enhancement algorithm on FPGA using Verilog HDL.
PRO-CHOLINERGIC, HYPO-CHOLESTEROLEMIC AND MEMORY IMPROVING EFFECTS OF CLOVE Parle

Clove is found to possess useful medicinal properties, such as anti-microbial, anti-inflammatory, anti-diabetic and anti-oxidant. The present study was undertaken to investigate the effects of Syzygium aromaticum (Clove) on cognitive functions in mice. Clove powder was administered orally along with diet in three doses (400, 800, 1600mg/kg) for seven successive days. 250 Swiss young mice divided in 50 groups and 100 aged mice divided in 20 groups were employed in the present study. The learning and memory parameters were assessed using elevated plus maze, passive avoidance apparatus and Hebb-Williams maze. Clove showed significant improvement in the memory of young and aged animals as reflected by decreased TL as well as TRC and increased SDL values. It also reversed the amnesia caused by ethanol (1.0 g/kg, i.p.) and diazepam (1mg/kg, i.p.). Furthermore, Clove reduced significantly the brain cholinesterase activity in young mice by 50.5 % and aged mice by 21.25 % at the dose of 800 mg/kg. Clove also showed remarkable reduction to the extent of 33% and 66.32 % in the total cholesterol levels of young and aged mice at the dose of 800 mg/kg. Diminished cholinergic transmission and high cholesterol levels appear to be responsible for the development of dementia in Alzheimer patients. Since Clove powder enhanced Ach levels and lowered cholesterol levels in the present study; it appears to be a promising candidate for improving memory. Thus it would be worthwhile to explore the potential of this spice (Clove) clinically in the management of Alzheimer’s disease.
Satellite Image Mining using Content Based Image Retrieval

: Satellite images are used in many applications, such as disaster forecasting, geological survey etc. Satellites captures thousands of images every day, but only few are useful to us. How to retrieve useful images from the database is a very challenging area of research. Content Based Image Retrieval technique is an important tool which aims at searching image database for specific images that are similar to a query image. The proposed system uses Content ased Image Retrieval technique to retrieve satellite images from the database. First images are segmented into several parts using unsupervised J-seg algorithm, then a region based representation for each image is built. Using statistical approach, its textural features are extracted. Finally a region based comparison is done using a Bayesian classifier which classifies images using probabilistic approach.
Mathematical Approach for Communication Engineer?s Error Detection and Correction

INTRODUCTION: An Engineering student once said, `Mathematics is when numbers are put into equations'. This statement obviously contains an element of truth. One cannot expect engineering students to perceive mathematics in the same way as professional mathematicians usually do, yet the professional engineer must acquire not only empirical but also abstract understanding of mathematics. It seems that the objective of teaching mathematics to engineering students is to find the right balance between practical applications of mathematical equations and in-depth understanding. In this paper I discuss this balance and some practical ways of achieving it based on my experience of teaching thermofluids to engineering and energy students at Brighton University. The achieved results are discussed based on self-assessment forms completed by the students.
Improving Intrusion Detection System Based on KNN and KNN-DS with detection of U2R, R2L attack for Network Probe Attack Detection

This paper describes a hybrid design for intrusion detection that combines anomaly detection with misuse detection. The proposed method includes an ensemble feature selecting classifier and a data mining classifier. The former consists of four classifiers using different sets of features and each of them employs a machine learning algorithm named fuzzy belief k-NN classification algorithm. The latter applies data mining technique to automatically extract computer users’ normal behavior from training network traffic data. The outputs of ensemble feature selecting classifier and data mining classifier are then fused together to get the final decision. The experimental results indicate that hybrid approach effectively generates a more accurate intrusion detection model on detecting both normal usages and malicious activities.
Performance Analysis of MIMO OFDM System using Higher Modulation Techniques and Subcarrier Index modulation

— There is the demand of speed over 100Mbps downlink and 50Mbps uplink to mobile users, data beyond 6,300,000 terabytes per month for accessing multimedia services like video, VoIP. Similarly there are requirements such as: high throughput, robustness, efficient bit error rate (BER), high spectral efficiency, minimum delays, low computational complexity, low Peak to average power ratio (PAPR), low error probability etc. Typical constraints faced during transmission are; bit error rate, detoriates over wireless transmission, the reduction of a data channel, the corresponding bit error rate (BER) is noise and changes to the propagation path. Clipping and filtering on the performance of OFDM, including the power spectral density, BER.
Techno-pedagogy and Graduates’ Employability in Cameroon State Universities

This study sets to demonstrate the place of technopedagogy on graduates’ employability in Cameroon State universities. It stems from an empirical observation according to which this 21 Century pedagogic innovation is largely neglected in the public higher education arena. It is a survey; involving the random sampling technique. Krejcie and Morgan (1970)’s model was used to select 426 informants among Cameroon State university graduates, Lecturers and economic operators. Data was collected via questionnaires and the descriptive statistical and content analysis approaches were used to analyse and interpret the said data. The latter was done with the help of SPSS and Becker (1994)’s Human Capital theory and Rogers (2003)’s Diffusion of Innovations theory respectively. Findings revealed that techno-pedagogy greatly enhances graduates’ employability in Cameroon State universities; for, according to informants, techno-pedagogy induces creativity and self-reliance (86.6%), multi-skilling and tasking (79.8%), professional excellence and productivity (95.5%) and finally, job flexibility and mobility among graduates (94.6%). The adoption of this pedagogical innovation is however marred by shortcomings at the levels of logistics, infrastructure, policies, users’ skills and motivation; a situation that warrants remedial measures. In effect, some solutions for the effective adoption of techno-pedagogy in Cameroon State universities are proposed.
Effect of Prebiotics Inulin and Mannan on Lipid Profile and Intestinal Micro Flora of Hypercholesterolemic Rats

The current study was aimed to determine the effect of Inulin and mannan on the lipid profile and possible reduction of serum cholesterol level of rats induced hypercholesterolemia. Twenty-eight male Wistar rats were divided into four experimental groups as follow; control group: fed standard commercial diet; HC: standard diet containing 1% cholesterol and 10% egg yolk powder; HC+M: HC+ 5% mannan; HC+I: HC+ 5% inulin. During 50 days, serum lipid profile, serum ALT and AST, liver total cholesterol and triglyceride, the body and organ weights were measured. HC+M and HC+I groups showed significantly lower cholesterol, LDL–cholesterol, atherogenic index and serum AST than HC group and also liver triglyceride and total cholesterol were significantly less in HC+M and HC+I. HC+M and HC+I diet had significantly controlled rats weight gain. These data demonstrate that mannan and inulin may be useful and can be used as an alternative or complementary treatment in hypercholesterolemia and related disease conditions.
A Novel Approach In-Situ Gel for Sustained Drug Delivery: A Review

Sustained drug delivery has become the standard in modern Pharmaceutical design and an intensive research has been undertaken in achieving much better drug product effectiveness, reliability and safety. This interest has been sparked by the advantages shown by in-situ forming polymeric delivery systems such as ease of administration and reduced frequency of administration, improved patient compliance and comfort. The formation of gels depends on factors like temperature modulation, pH change, presence of ions and ultra violet irradiation, from which the drug gets released in a sustained and controlled manner. Various biodegradable polymers that are used for the formulation of in-situ gels include gellan gum, alginic acid, xyloglucan, pectin, chitosan, poly (dl-lactic acid), poly (DL-lactide-co-glycolide) and polycaprolactone. Mainly in-situ gels are administered by oral, ocular, rectal, vaginal, injectable and intraperitoneal routes. The in-situ gel forming polymeric formulations offer several advantages like sustained and prolonged action in comparison to conventional drug delivery systems. From a Manufacturing point of view, the production of such devices is less complex and thus lowers the investment and manufacturing cost. Present review emphases mechanism of in-situ gel formation, polymers used for in-situ gel, methods of preparation and applicability in different drug delivery system. P. M. Chavan* 1 , S.Vyas 2 1 Deparment of pharmaceutics, Vidyabharti College of pharmacy, PG and research Institute Amravati. 2 Deparment of pharmaceutics, Vidyabharti College of pharmacy, PG and research Institute Amravati. Submission: 7 July 2017 Accepted: 12 July 2017 Published: 25 July 2017 www.ijppr. humanjournals.com Citation: P. M. Chavan et al. Ijppr.Human, 2017; Vol. 9 (4): 260-280. 26
A NOVEL APPROACH TO PAGE RANKING MECHANISM BASED ON USER INTEREST

Information searching on the web is more popular than the traditional method but is not an easy task on the web because the World Wide Web (WWW) is collection of huge no of document which available on internet. Thus a tool is required called search engine which helps in find the required information for user. Search engines are provide the list of document which sort according to page rank algorithm in which lots of not relevant to the user’s information needs. Hense the personalized search is required a better page rank mechanism to provide the more relevant document to user. In this paper we design a page ranking mechanism which based on the various factor time-span, interest score, activity performed, and user interest score which helps in improve the ranking.
DETECTING BOUNDARIES FOR IMAGE SEGMENTATION AND OBJECT RECOGNITION

- Edge exposure is an underlying step used in numerous figure processing applications. The main problems in actual edge find conclusion demand edge localization, less turbulence discharge strength, side-lined to disclose halt complicated qualification icons and ineptitude to perfectly identify the paint penetrate drawings. In this report, a sequent amalgam way is recommended to crush all the limitations of real edge exposure finding. The operations performed by impression edge find method perhaps computationally pricey and takes uncounted implementation time for processing the data. This analyse work also improves combination darken occupying icon edge uncovering mode by adopting the data comparison method. The ratio in the class of successive and correlate edge disclosure will be sapped occupying upon strange analogous poetic rhythm. The developmental results have established that comparable planning achieves an opera gain of 68% as in comparison to serial program.