Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study of type-1 and Type-2 Fuzzy Systems

T YPE-2 fuzzy sets (T2 FSs), originally introduced by Zadeh [3], provide additional design degrees of freedom in Mamdani and TSK fuzzy logic systems (FLSs), which can be very useful when such systems are used in situations where lots of uncertainties are present [4]. The implementation of this type-2 FLS involves the operations of fuzzification, inference,and output processing. We focus on ―output processing,‖ which consists of type reduction defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. In this paper we represent a comparision of dirrerent techniques of fuzzy logic systems.
TOPIC DETECTION AND TRACKING USING WEB MINING

:- Web mining - is the application of data mining techniques to discover patterns from the Web. Topic tracking is one of the technologies that has been developed and can be used in the text mining process. The main purpose of topic tracking is to identify and follow events presented in multiple news sources, including newswires, radio and TV broadcasts. In this paper, a survey of topic tracking techniques is presented.
Comparative Analysis of Indirect Vector Control of Induction Motor Drive using PI and PID Controllers

The most common type of speed controller to be used th speed control of induction motor is convention al proportional integral (PI) controller. But this paper presents a performance based on comparative study of conventi onal proportional integral (PI) controller and proportional integral derivative (PI D) controller. The induction motor well known as it robustness, relatively low cost, good reliability and efficiency. But inductio n motor also characterized by complex, highly non-l inear and time varying dynamics. Hence their speed control is challenging problem in the industry. The approach of vector con trol techniques has solved induction speed control problems. Simulation is car ried out in MATLAB/Simulink environment and results are compared for speed control of induction motor PI controller and with P ID controller.
EVALUATION OF OXIDATIVE STRESS INDICES AND ANTIOXIDANT LEVELS IN PRE AND POST HEMODIALYSIS PATIENTS

The present study was undertaken to evaluate the effect of oxidative stress in chronic renal failure patients before and after hemodialysis and compared to healthy control individuals. The study comprised of 30 hemodialysis patients compared with 30 healthy controls. The object of the present study was to investigate the possible free radical mediated tissue damage in CRF before and after dialysis, by measuring Malondialdehyde (MDA) which is marker of oxidative stress and L-carnitine for lipid peroxidation. MDA levels were found to be significantly increased in pre dialysis CRF patients as compared to the controls (P< 0.001) and the levels further increased in post dialysis CRF patients as compared to that in pre dialysis CRF patients (P <0.001). Antioxidant enzymes such as superoxide dismutase, catalase, reduced glutathione, glutathione peroxidase and the levels of antioxidants like Vitamin A, Vitamin E and Vitamin C along with L-carnitine were significantly decreased in pre dialysis patients as compared to the controls (P<0.001) and the values further significantly decreased in post dialysis patients as compared to the pre dialysis CRF patients (P<0.001). The result of study have shown there is considerable oxidative stress in patients with CRF, which is further exacerbated by hemodialysis, as evidenced by increased lipid peroxidation and low levels of antioxidant and L-carnitine.
Phytosolutions for Enterococcus faecalis in Endodontics: An Update

Background: The key reason for failure of an endodontic treatment is incomplete debridement and sterilization because of complex root canal system anatomy which makes elimination of micro-organisms difficult. In spite of the chemical and mechanical debridement of root canals, studies have reported that some microbes like Enterococcus faecalis thrive in periapical lesions, triggering a failure of an endodontic treatment. Considering the vanity, adverse effects and toxicity issues of synthetic medications, the herbal alternatives have been sought for endodontic irrigation. Objectives: To review the current evidence on the efficacy of different plant derivatives against Enterococcus faecalis. Materials and methods: Studies were identified through systematic search of the following electronic databases: PubMed, Web of Science, Scopus, Google Scholar and Cochrane database of systematic reviews. The results from the relevant published literatures are discussed. Summary and Conclusion: The conclusion drawn from in vitro and in vivo studies seems encouraging and as proven in clinical studies, Propolis and Salvadora persica have been proven to be efficacious against Enterococcus faecalis. More laboratory and clinical research is required to assess the safety, efficacy and biocompatibility of other plant extracts, before finally recommending them as alternative endodontic irrigants.
Hypothesis on a signalling system based on molecular vibrations of structure forming macromolecules in cells and tissues

Cells and tissues are tree-dimensional systems. The scaffolds are established by macromolecules such as proteins, polar lipids, glucosaminoglycans, glycoproteins, cholesterol forming networks and membranes. These structures are permanently changed, remodelled, restored. The chemical signalling is insufficient to inform on spatial aspects where changes are needed and it should be supplemented by physical signals. All molecules show molecular vibrations at the temperature of living systems. This oscillation of macromolecules creates infrared radiation. As the molecules carry functioning groups the infrared radiation is characterised by defined peaks. Frequencies of midinfrared spectrum below 1300 cm-1 can penetrate without being weakened by water absorption. The peaks are modified by the specific environment of the molecule and change in the course of chemical reactions. If the cells responsible for supply of restoring or remodelling enzymes are capable to realize these signals the spatial aspects can be verified. The hypothesis presented is that these cells develop receptors at the cell membrane, and at the nuclear envelope for intracellular actions, based on resonance principle to record and process these signals. The cell membrane is a barrier for intracellular signals to avoid disturbance of adjacent cell. The interaction between tissue cells and their extracellular matrix in developing organism are very intensive. Signalling based on molecular vibration could be important in the memory process as well. If the information unit is stored as a modified macromolecule the specific changed vibration signal could be retrieved by the dendrite spine of the neurone after depolarisation. The retrieval process would not change the stored information unit and would be very energy efficient. The neurone represents the active part of storage and retrieval. If the hypothesis is experimentally proved a high amount of new research activities are induced up to new applications in stem cell research, cancer research, therapeutic possibilities, plant research.
A Novel Approach for Classification of Malignant Neoplasm Using Non-Linear Dualist Optimization Algorithm

: In the previous centuries, our deterministic view of a decisive disease like cancer led us to imagine that only clinical therapy seems to be the ultimate source for prediction of a disease. But the emergence of Machine learning techniques has contributed an astonishingly intellectually efficient mechanism for solving numerous complex biological problems with minimal complexity. Keeping an eye on the need of preliminary detection of initial stages of cancer development, we have reshaped our perception for prediction by implementing certain interdisciplinary fields like Game theory, numerical linear algebraic methods and statistics to reach a valid conclusion. In our work, a model is formulated to determine the existence of malignant neoplasm in the patients sample set using Gauss-Newton method. Our model aims at predicting the class label of an unknown new sample that enters into the system during the runtime. An apodictic approach for construction of an optimized RFE (Recursive Feature Elimination) feature selection model using Dualist Algorithm is incorporated. Furthermore, the optimized features are subjected to a non-linear classification using Decision Tree, K-Nearest Neighbor and Logistic Regression on Wisconsin Breast cancer dataset. In addition, we have applied Euclidean distance and Manhattan Distance to select the most contributing features in a sparsely represented dataset. The simulations carried out using Gauss-Newton method, Logistic Regression, K-nearest neighbor, Decision Tree and Random Forest. Dualist Optimization algorithm with Recursive feature elimination is combined with five different classifier models are experimented. Features with minimum Euclidean distance and Manhattan distance from the sample data are also chosen for training the model and is further optimized using the suggested algorithm.
Emotional Intelligence In Relation To Psychological Well-Being among Students

The present study was aimed to investigate the emotional intelligence in relation to psychological well-being among students. The sample comprised 100 students (boys =50 & girls =50), who were randomly selected from Senior Secondary Schools, AMU, Aligarh. The mean age of students was 15 years. Well-Being Manifestation Measure Scale (WBMMS; Masse, et al. 1998a) and Emotional Intelligence Scale (EIS; Schutte et al., 1998) was used to assess psychological well-being and emotional intelligence. Pearson Product-Moment Correlation and t-test were used to analyze the data. The results of the correlation showed that there is significant positive correlation between emotional intelligence and psychological well-being. Further, the result of the t-test showed that girls scored significantly higher as compare to boys on emotional intelligence, while there was no significant difference found between boys and girls scores on total psychological well-being and also on its any dimensions.
SWT based Saliency Detection using Low Level Multi Scale Image Features

-Stationary wavelet transform (SWT) achieves translation-invariance by avoiding down sampling, resulting in giving lossless information. In this paper, SWT technique is implemented for creating local and global saliency maps. The performance of the saliency detection method using low level features based on Discrete wavelet Transform (DWT) and SWT are analyzed for biomedical applications. The results are also extended for a hybridized saliency map. Finally the simulation results are analyzed and compared using different parameters for local, global and hybrid saliency detection models.
Revolution of E-Wallets Usage among Indian Millennial

India is already pacing ahead on the trajectory of a major digital revolution. Digitalization in the mechanism of sending and receiving payments is definitely considered as the milestone in the age of cashless economy. While the usage of smartphones along with the easily and readily available Internet access is already at its peak and continuing to increase among the Indian population, both urban and rural, the acceptance of the electronic payment method or E Wallets is the focus of this paper. This paper intends to empirically examine the adoption patterns of e wallets by the respondents. A survey of customer perception Vis a Vis usage pattern levels regarding e wallets will be made based on a study on the Indian millennial population. It also helps identify the hurdles and challenges to the adoption of e wallets. Therefore, the purpose of this study is to explore the adoption of the e wallet among Indian millennial with focus on (1) the adoption levels of e-wallets, (2) the usage patterns of e wallets, (3) the preference for e-wallets, and (4) the challenges in using e-wallets. In order to accomplish the aforesaid purpose a well-structured questionnaire will be circulated to the millennial population based out of the Chennai City, wherein they were asked questions with regards to adoption of e wallets. The study would be a valuable input to the research areas of finance, by divulging into E wallet payment systems in India, an emerging concept.
Progress in Aqua Farming and Marine Biology

This study was carried out to determine the protective efficacy of inactivated recombinant cell vaccine expressing OmpTs (37 kDa) and OmpW (22 kDa) of Aeromonas hydrophila against the virulent strain of A. hydrophila strain Ah1sa5 in African catfish and to observe the presence of GALT in fish after vaccinated with the recombinant protein vaccine compared to control and placebo vaccine groups. Two hundred and forty African catfish were divided into five major groups. Three groups were vaccinated intraperitoneally (IP) with inactivated recombinant cells concentration of 1 x 107 CFU/ml and one group that was vaccinated with recombinant cell alone without insert and the last group was an unvaccinated group. Vaccines were injected on day 0 and booster dose given on day 14. On day 28 challenge test were done where all fish from all groups were IP injected with virulence bacteria, A. hydrophila strain Ah1sa5 inoculums with concentration of 4.0 x 108 CFU/ml. During the course of study, fish were collected randomly from all groups and guts were collected for histological examination to observe the aggregation of GALTs. All of the vaccinated groups had a significantly higher protection (P < 0.05) than placebo vaccine and control groups. This level of protection may be due to high antibody responses as demonstrated by aggregation of GALTs following vaccination. These results suggest that the recombinant cell vaccines OmpTs and OmpW could effectively stimulate both specific and non-specific immune responses and protect against A. hydrophila infection. Therefore, OmpTs and OmpW may be developed as potential vaccine candidates against A. hydrophila infection.
Creation of Smart Contract for the Blockchain based Trade Finance

—Trade finance includes the various financing activities in an international trade. Since the parties participating in a trade are from different countries, there are several risks associated with this area. Also it is still a largely paper based business and hence the time taken for various activities is too large and chances of errors are also high. Normally, there will be a buyer and seller with intermediaries like banks or financial institutions are present in trade finance and different activities are happening with these parties. Also there are various documents included in trade finance like letter of credit, bill of lading etc. and each of them having specific cost and risk. Blockchain is a distributed ledger technology which is mainly used for cryptocurrencies and also for building smart contracts. The technology has established in the year 2008. Blockchain has the potential to solve the problems arises in trade finance like risk, time consumption and costs. Using blockchain, smart contracts can be built in the area of trade finance which makes it more transparent and risk-free. Each activities in trade finance can be stored to a block in blockchain and every party has the provision to look at the activities in real time which makes them more comfortable in business. Legal documents and contracts between parties can be stored in a blockchain and if anyone wants to make a change in a particular document, all the other parties have to approve it and this will reduce fraudulent activities. The provision to protect highly secure data from other parties is also available in blockchain. External attacker cannot make changes to a blockchain because if anyone tries to do that, he has to attack every parties in the contract to make a change and which is not possible since the hardware using will be having high power to protect it from frauds. Blockchain will provide high secure, transparent and cost-free solution to trade finance.
Colour, Count and Speed Identification of a Vehicle for Road Surveillance

- The information about a vehicle is very helpful for road surveillance and many applications of city public security. This paper presents different vehicle property detection system for road videos or images. Here is the method for detecting vehicle from urban road video along with its speed, count and color. By tracking every passing vehicle, the color and speed of them are recognized. The vehicle has its specific inner structure and different parts may be in different colours, it requires recognizing the dominant color of a vehicle. So it is very important to select the Region Of Interest (ROI) of detected vehicle portion of the image. After selecting ROI, feature context based color identification method used here. A newly efficient technique based on feature point of vehicle used for vehicle tracking and speed detection. Frame based vehicle counting system improves the performance of the system. The efficient and extensive experiments on both road image and video data demonstrate the potential of the proposed method in intelligent transportation system.
Effect of Jamming Attack in Mobile Ad Hoc Environment

— Mobile ad-hoc networks (MANET) are more susceptible to security attacks because of their special features i.e. dynamic configuration, no static infrastructure, and multi hop scenario and resource limitations. The requirement for a protected MANET networks is powerfully connected to the privacy and security characteristics. This Jamming attacks are one of them. These happen by transmitting continuous radio waves to inhibit the transmission between receiver and sender. These attacks influence the network by reducing the network performance. Formerly there had been significant research in the field of enhancing the network performance by employing routing protocols. In our paper work we are evaluate the performance of mobile ad hoc networks with and without jamming attack. The suggested work involves a network with high mobility, utilizing IEEE Along a standard with AODV (Ad hoc On Demand Distance Vector) routing protocol parameters. Voice and FTP with large data rate are being created in the network. The network performance is evaluated in terms of the QoS parameters i.e. end to end dealay delay and throughput. OPNET (Optimized Network Engineering Tool) Simulator v14.5 is employed for simulation purpose.
A Survey A Survey A Survey A Survey oooon n n n Efficient Efficient Efficient Efficient Algorithm f Algorithm f Algorithm f Algorithm for Mining High Utility or Mining High Utility or Mining High Utility or Mining High Utility ItemsetsItemsetsItemsetsItemsets

Efficient discovery of frequent itemsets in large datasets is a crucial task of data mining. From the past few years many methods have been proposed for generating high utility patterns, by this there are some problems as producing a large number of candidate itemsets for high utility itemsets and probably degrades mining performance in terms of speed and space. The compact tree structure which is proposed recently, viz., FP-Tree and UP-Tree, these maintains the information of transaction and itemsets, mining performance and avoid scanning original database repeatedly. In this paper to obtain a structured way up-tree is adopted, it scans the database only twice to obtain candidate items and manage them in an efficient data structured way. Applying UP-Tree to the UP-Growth takes more execution time for phase II. Hence in this paper we present the modified algorithm aiming to reduce the execution time by efficiently identifying high utility itemsets.
Overlap Analysis of Major Search Engines

 Abstract: This paper examines the overlapping of the results retrieved between three major search engines namely Google, Yahoo and Bing. A rigorous analysis of overlap among these search engines is conducted on 125 random queries. The overlap of first five page results, i.e., 50 results from each search engines and only non-sponsored results across these 3 major search engines are taken into consideration. Search engines have their own frequency of updates and ranking of results based on their relevance. Moreover, sponsored search advertisers are different for different search engines. Single search engine cannot index all Web pages. In this research paper, the overlapping analysis of the results were carried out between January 1, 2017 to January 31, 2018 among 3 major search engines, Google, Yahoo and Bing. A framework is built in java to analyze the overlap among these search engines. This framework eliminates the common results and merges them in a unified list. It also uses the ranking algorithm to re-rank the search engine results and displays it back to the user.
STUDY OF THE RELAXING EFFECT OF SLOW-DYNAMIC GYMNASTIC EXERCISES

13 INTRODUCTION This article presents the results from a pilot research on the effect of the application of a specialized set of slow-dynamic gymnastic exercises. The main aim of the study is proving the relaxing effect of a distinct type of gymnastic exercises. On this basis, the following questions require an answer: what is the nature of relaxation and its role in sports practice, types of relaxation, ways to achieve the relaxing effect, physiological and psychological reactions of relaxation, benefits of relaxation, and methods for assessment of the level of relaxation. The literature review allows concluding that relaxation is a psychophysiological state of a person and in particular of athletes. FurABSTRACT Introduction: The relaxation is a psychophysiological state of a person and in particular of athletes. On the basis of the literature sources, two main types of relaxation can be defined – physi­ cal and mental. Physical relaxation can be employed to reduce muscular tension and to improve coordination during the performance. It can be suggested that this psychophysiological state cre­ ates appropriate conditions for the development of flexibility, speed and all psychomotor qualities. That’s why an alternative new means with relaxing effect in this study will be investigated. Aim: The aim of the study is to prove that the slow-dynamic gymnastic exercises practice leads to reduction of muscular tension. According to the hypothesis of the research, the applica­ tion of the mentioned exercises will increase the performers’ sense of relaxation. The object of the study is a specialized set of gymnastic exercises which includes dynamic gymnastic exercises performed with slow movements and holding of static poses. Methods: The assessment of the relaxation degree was made through physiological and psychological parameters. The collected physiological data included heart rate, breathing fre­ quency, blood pressure, and finger skin temperature measurement. The psychological data were assessed with Spielberger State Anxiety Inventory and four-point Likert type scale for self-rated relaxation. The measurements were made before and after the execution of the exercises. Results: Statistically significant changes were found for all variables studied, except systolic blood pressure. The comparison of the collected data from the two measurements showed the greatest differences in three indicators after the application of slow-dynamic gymnastic exer­ cises – a decrease in the Spielberger Inventory results (-7.3 points, p<0.05), a decrease in the heart rate (-6 bpm, p<0.05) and an increase in the finger skin temperature of both hands (left: 3.5°, right: 3.8°, p<0.05). Conclusion: In conclusion, the established results confirm the hypothesis of the study and prove the relaxing effect of the slow-dynamic gymnastic exercises.