Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF WARPING AND WINKLER-PASTERNAK SOIL ON THE TORSIONAL VIBRATIONS OF THIN-WALLED OPEN SECTION BEAMS WITH GUIDED-END CONDITIONS

This paper deals with the free torsional vibrations f doubly symmetric thin-walled beams of open sect ion and resting on Winkler-Pasternak continuous foundation. A general dynamic stiffness matrix is developed in this paper which includes the effects of warping and Winkler-Pastern ak foundation on the torsional natural frequencies. The resulting highly transcendental frequency equations for a simply sup ported and guided-end conditions are solved for var ying values of warping Winkler and Pasternak foundation parameters on its frequencies of vibration. A new MATLAB code was developed based on modified BISECTION method to sol ve the highly transcendental frequency equations an d to accurately determine the torsional natural frequenc ies for various boundary conditions. Numerical resu lts for natural frequencies for various values of warping and Winkl er and Pasternak foundation parameters are obtained nd presented in graphical form showing their parametric influence c l arly.
A Novel Narrow-Band Interference Rejection Based on Wavelet-Packet Transform

: A novel adaptive wavelet-packet transform for suppressing the interference in Direct Sequence Spread Spectrum (DSSS) communication systems is put forward in this paper. The optimal NBI (narrowband interference) rejection method is proposed using the adaptive wavelet-packet transform instead of sub-band elimination, which can suppress NBI efficiently and reduce the loss of the avail signal. Analysis and simulation results show that the interference suppression method of adaptive wavelet packet decomposition based on the ATF algorithm will obtain better performance than that of conventional sub-band elimination, especially when there are multi tone interferences. And compared with the traditional LMS adaptive algorithm, it can effectively improve the convergence speed of the algorithm.
Effects of Cosinusoidally Fluctuating Temperature and Casson Fluid Model On MHD Free Convective Flow past a Vertical Porous Plate in Presence of Hall, Ion-Slip Current and Chemical Reaction

In this paper the Influence of cosinusoidally fluctuating temperature and Casson fluid model on MHD free convective flow past a vertical porous plate in presence of hall, ion-slip current and chemical reaction effects have been analyzed. The exact solution of the governing equations for velocity, temperature and concentration are attained using Perturbation method. The influence of dissimilar parameters on velocity, temperature and concentration fields are shown graphically, whereas the expression for the skin friction, nusselt number and Sherwood number profiles are presented in tabular. In this investigation it was conclude that as rise in hall and ion-slip current parameter leads to rise in velocity, but reverse effect was occurred in case of heat source and prandtl number. In addition concentration and velocity are declined with rise in Reynolds number and soret parameter.
To Study the Influence of Gender and Income on Individual’s Online Shopping Continuance Intention on Amazon.in for Consumer Electronics

The purpose of this paper is to study the factors that contribute to an individual’s online shopping continuance intention on Amazon.in with respect to consumer electronics. The study also examines how gender and income moderates these factors. It aims to examine the effects of marketing strategies, service quality, relative price, advantage, trust, through a path model derived conceptually from the Expectation Confirmation model and Technology Adoption model. The research is based on a rather small sample size of 146 respondents though it does consider both genders almost equally and all relevant age groups to provide a clear understanding. The data was collected using non-probabilistic, convenience-based approach. The study will help online marketers in devising effective marketing strategies and building customer loyalty which is rather low in this era of online shopping. The research contributes in enhancing the understanding of the drivers of online shopping continuance intention based on gender and income differences.
Identification of a Novel Gene, Slc39a8, Encoding Zinc Transporter Specific to Treg Cells by Integrative Bioinformatic Analysis and Its Functional Validation

Regulatory T cell (Treg cell) is a subset of T cell expressing Foxp3 transcription factor and critical for maintaining the immunological homeostasis in autoimmune micro-environment. However, the absence of the surface marker specific to Treg cell is the major barrier for the development of therapeutic reagent targeting Treg cells. To identify a novel gene specific to Treg cells mRNA sequencing data about naive T cell, activated T cells (Th0), TH1 and Treg cells were processed by integrative bioinformatic methods and 350 Differentially Expressed Genes (DEGs) specific to Treg cells were selected. Using the bioinformatic program to score the intracellular location and functional gene network analysis to measure the functional relationship to Foxp3 Slc39a8 gene encoding zinc transport on the surface of Treg cells was chosen as a final candidate. The protein expression of the Slc39a8 gene was highly specific to Treg cells among various T cell subsets, and its expression was induced by TGF-β. In a dose-dependent manner, which is the key immuno-suppressive cytokine. The immuno-suppressive capacity of CD4+/Slc39a8+ T cells toward the activated T cells was substantially higher than that of CD4+/CD25+ T cells in a contact-independent way. Taken these results together, Slc39a8 was identified as a novel Treg cell-specific marker encoding a zinc transporter on the surface, which is functionally important for Treg cells. Therefore, Slc39a8 will serve as a new target molecule to develop the therapeutics for the treatment of various autoimmune diseases and solid cancers.
Defected Ground Structure based Reconfigurable UWB Antenna for IoT applications 3031

A defected ground structure reconfigurable UWB antenna is developed and presented in this paper. The proposed antenna switches between a narrow band and ultra-wideband. The proposed antenna occupies the compact dimension 37.5x35x1. 6mm 3 . In this design, a pair of ohm shaped slots coupled together by a horizontal slot is considered as defected ground structure. The proposed antenna has the capability of sensing the entire UWB range from 3.1GHz to 10.6GHz and extends up to 15 GHz. Later, a study is performed to understand the switching behavior of the antenna when the switching elements are incorporated in the defected ground structure elements of the proposed antenna and compared with ideal switching case, PIN diode switches. The switching conditions of the proposed antenna yields the frequency reconfigurable nature among the spectrum that covers S-band, C-band and UWB with maximum gain of 2.83dB, 5.12dB and 5.2dB respectively which shows the compatible use in IoT devices.
Development of English-to-Sign-Language Translation System on Android

Sign-language uses gestures as signals in communication. Various kinds of sign languages can be used, one of which is American Sign Language (ASL). Sign language is one of the communication media that can be used while having a conversation with deaf people. Every single person who wants to communicate with deaf people often experiences difficulties because of limited knowledge about sign language. Learning media for ordinary people to learn sign language is also limited, which only consists of conventional learning media such as books with very limited numbers. An application that can make the process of translating into a sign language movement can be a solution as a learning medium for the people to help communicate with deaf people on a wider scale.
EFFECT OF ZINC FERTILIZATION ON SOIL ENZYMES ACTIVITY

An field experiment was conducted in zinc deficient soil belonging to Padugai series (Typic Ustifluevents) at the farmer’s holding during the Navarai season of year 2017.The treatments consists of viz., T1 Absolute control , T2 NPK (RDF), T3 RDF + ZnSO4 @ 25 kg ha -1 , T4 RDF + Nano zinc (Granules @ 10 kg ha),T5 RDF + Nano zinc (Granules @ 15 kg ha ),T6 RDF + Bio zinc (Granules @ 10 kg ha),T7 RDF + Bio zinc (Granules @ 15 kg ha ),T8 RDF + Foliar spray of 0.5 % as ZnSO4 at T.S and P.I. ,T9-RDF + Foliar spray of 1 ml L -1 as nano zinc at T.S and P.I. and T10RDF + Foliar spray of 1.5 ml L -1 as bio zinc at T.S and P.I. The test crop was rice var.CO 51. The results revealed that enzymes activity was significantly enhanced on addition of different sources of zinc over control. The enzymatic activity increased with the age of the crop and the highest activity was seen at panicle emergence stage and decreased at harvest. Among all the treatments RDF + soil application of bio zinc @ 30kg ha and RDF + soil application of Zn SO4 @ 25 kg ha recorded the highest urease activity and was on par with each other at all stages. Similarly dehydrogenase, acid and alkaline phosphatise activity highest was observed in the treatment receiving and RDF + Soil application of Bio zinc @ 30kg ha.
HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORK

As the scale of the network increases, especially wireless and mobile networks come into fashion. Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. In this paper, the emphasis is on the study of Hierarchical routing protocols in wireless sensor networks (WSNs) since they might differ depending on the application and network architecture. We review the routing protocols such as LEACH, PEGASIS, TEEN and APTEEN.
Recommender System for Hotels based on user’s personalized ratings using Hadoop and Cloud

: It is a service recommender system for providing appropriate recommendations to users. In the last decade, the number of customers, services as well as online information has grown rapidly. So, the big data analysis for service recommender systems is required. As a result, traditional service recommender systems often suffer from scalability and inefficiency problems when analysing such BigData. The vital thing is, most of existing service recommender systems present the same ratings of services to different users without considering previous user’s preferences, and hence fails to meet user's personalized requirements. We will propose a method called “Keyword-Aware Service Recommendation”, i.e. KASR, to fulfil the above challenges. In our system Keywords are used to indicate user's preferences. In very first stage data sets will be created for given system. Also user-based Collaborative Filtering algorithm is used to generate appropriate recommendations. KASR is implemented on Hadoop, to improve its scalability and efficiency in big data environment, a widely-used distributed computing platform known as MapReduce is used for parallel processing paradigm. At final stage, experiments are concluded on real-world data sets, and results shows that KASR significantly improves the accuracy & scalability of service recommender systems over existing approaches. As explained above we will use the techniques such as Map Reduce for parallel processing paradigm and the algorithm used in our system are Collaborative Filtering algorithm is for generating appropriate recommendations.
Functional evaluation of ToxA promoter in Trichoderma reesei Rut-

In order to expand the collection of promoters studied in Trichoderma reesei Rut-C30, a functional study of the ToxA promoter was carried out by analysis of GFP expression in T. reesei Rut-C30. For this purpose, the binary pCBCT expression vector was employed to transform T. reesei RutC30. The transformants obtained were evaluated by means of fluorescence microscopy, fluorometry, dot blot and Western blot analysis. The low levels of cytoplasmic GFP protein in fungal hyphae suggest that ToxA promoter works as a weak constitutive promoter which can drive successfully the expression of heterologous proteins in T. reesei Rut-C30  2016 Trade Science Inc. INDIA
Video Inpainting Using Image Inpainting

— The important part in our life is Image. We can remove the unwanted part of image without disturbing its overall structure using image inpainting. The inpainting of the low resolution images are simpler than that of the high resolution images. In this system different super resolution image inpainting methodologies contains low resolution image and then to form the highly in painted image results of all these methodologies are combined. For this reason for inpainting of single image our system uses the super resolution algorithm which is responsible.
The impact of concept mapping on the mind- set of students and their attainment in a physics lesson

The aim of this study was to investigate the effect of students’ concept mapping on their physics achievement and attitudes toward physics lesson. Participants were 58 ninth -grade students from the two classes enrolled to general physics course in a high school in Turkey. One of the classes was randomly chosen as experimental group (28), constructed electricity concept map and the other was control (30) group, did not receive any presentation on concept mapping. Data were collected via the preand postadministration of the Physics Achievement Electricity Test (PAET) and Concept Maps Attitude Scale towards Physics (CMASTP). The study conducted in six weeks in a class that met two times a week. The material covered was about electricity. Results showed that while there were no significant differences in the attitude and achievement between the experimental and control groups. However, the experimental group students were observed to have a tendency of more positive attitude than the control group students. Results also showed that drawing concept map instruction was more effective than traditional instruction in improving physics achievement of the participating students.
Effect of Nitrite Toxicity on Histological Parameters to Fresh Water Fish “Cirrhinus Mrigala”

Nitrite compound exerts environmental stress on fish. High levels of nitrite in water results in high stress levels leading to hyperventilation, elevated heart rate, increased blood pressure in fish. The present study was to evaluate the histopathological changes in liver exposed to nitrite toxicity during 7 th , 14 th , 21 st , 28 th , and 35 th , days respectively. Morphological structure of liver of Cirrhinus mrigala was presented in (Ph. m. 8). In the control fish, the liver showed hepatic cells located with central nucleus and homogenous cytoplasm. During acute treatment the liver exhibit disintegration of parenchymal cells, extensive vacuolation of parenchymal hepatocytes, degenerative cell and organelles and lumen with necrotic cells (Ph. m. 9). During sublethal treatment liver showed enlargements of hepatocytes, disintegration of cell boundaries of intercellular spaces, nuclear degeneration with pyknotic nucleus were noticed at the end of 7 th day (Ph. m. 10). At the end of 14 th day, disintegration of hepatocytes and necrosis of parenchymatous tissue noticed. The cell undergo necrosis or apoptosis. It is followed by karyorrhexis or fragmentation of the nucleus (Ph. m. 11). The above said structural changes were severe at the end of 21 st and 28 th , exposure period (Ph. m. 12, 13). Complete rupture of hepatic cells, vacuolar degeneration, intercellular edema, were observed at the end of the treatment period (Ph. m. 14).
Finger Vein Recognition Using Haar Wavelet Transform

— Finger vein is an important biometric technique for personal identification and authentication. The finger vein is a blood vassal network under the finger skin. The network pattern is distinct for each individual, unaffected by aging and it is internal. i.e. inside human skin which can always guarantee more security authentication. finger ‐ vein recognition systems capture images by using near infrared (NIR) illumination in conjunction with a camera. However, such systems can face operational difficulties, since the scattering of light from the skin can make capturing a clear image difficult, which represent the major challenge in our proposed system, which is how to localize the vein grid, and the following challenges are choosing the suitable feature vector to identify the vein pattern. The attracting features of the Haar Wavelet Transform, including fast for implementation and able to analyse the local feature makes it the suitable choice in our system. The system was tested over a database collected from 106 volunteers, where 6 images are collected for each person. The attained identification result is encouraging where equal error rate for one level decomposed wavelet was (98.7%), and when increasing the levels of decomposed wavelet was (99.8%).
Economic Potentials of Oil Palm Production and Machinery Use in UDI, Enugu State, Nigeria

The economic potential of oil palm production and machinery-use in Udi Local Government Area Enugu State, Nigeria has been investigated. Questionnaires, personal work and oral interview were used as means of information retrieval. Statistical tool were used in data analysis. Farm holding/ownerships are of three categories; Individual (small holding (68%)), communal (medium holding (23%)) and cooperative efforts (large scale holdings (9%)) from social groups and friends reduce economic cost on labour. A larger percentage of the small scale holders (40%) inherited the farm while (5%) claimed ownership of establishing the farm. About 20% operate on rental arrangements and 30% communally owned. The result of the profitability analysis in palm oil processing in the area showed an increased trend in profitability while factors like transport costs, high cost of plantation rentals, and poor extraction processes were most critical to inhabiting profitable palm oil processing in the area.
Mining Frequent and Correlated Items Using Map Reduce Framework and Tree Data Structure

— Big Data has a characteristics like large like volume, velocity, variability, complexity value. Big Data mining is the capability of extracting useful information from these large datasets or streams of data. Fr The combinatorial explosion of FIM methods becomes even more problematic when they are applied to Big Data Fortunately; recent improvements in the field of parallel programming already provide good tools to tackle this problem. However, these tools come with their own technical challenges, e.g. balanced data distribution and inter-communication costs. There are various methods applied on big data for finding the frequent Itemset. Combination of algorithms like Apriori, Fp-Growth, and Eclat are also necessary to apply them on the large dataset. All the methods in literature review are useful for big data mining using Map-Reduce.to balance the load on different mappers and to decrease the processing time the method which use the concept of both Fp-Growth and Eclat is proposed here.to generate Fp Tree for very large dataset is very complex and increase the overhead. This is overcome by the method which use dataset in vertical format and conditional tree is mine separately for each Item. By applying this methods results are generated which improve the processing time and also reduced the overhead.
Performance Improvement in Multimedia Answering By Web Excavation

– Question Answering (QA) can be considered as an alternative of Information retrieval systems. It is a way of responding to a query which is asked in natural language, with accurate and precise result. The relevance of question answering lies in the downside of search engines, which return a lot of irrelevant documents based on some key terms. Community based Question Answering (CQA) services are defined as dedicated platforms for users with diverse background to share information and knowledge and to respond to other users’ questions, resulting in the building of a community where users interactively give ratings to questions and answers. But the downside of existing CQA forums are, most of the previous systems are text based and fail to provide more detailed information which helps the user to understand the things completely. Here I propose a model that is able to provide answers from different CQA forums along with suitable multimedia information. In this model, first the combination of media through which question should be answered is selected based on question and answer pairs, in the next stage the most relevant keyword will be selected based on question & answer, then in the final stage it will collect appropriate multimedia information from different web sources and presented to the user along with textual information. Compared to lot of multimedia question answering approaches, it mainly focus on extracting textual answering from different web sources along with the multimedia information and it is faster compared to other approaches, and the result should be precise and appropriate media data.
Dynamic Stochastic Resonance Technique for Enhancement of Low Contrast Images

Image enhancement is one of the most challenging and interesting areas of image processing because of its attractive objective. This paper presents an image enhancement method using stochastic resonance (SR). Stochastic resonance (SR) is a phenomenon in which the performance of a low-contrast image can be improved by addition of noise. In general, noise is always considered as deteriorating the system performance and is therefore considered as a nuisance. However, it is observed that the presence of noise can in fact enhance the weak signal strength or the low contrast images of certain non-linear systems including non-linear signal and image processing. The performance of the proposed technique is going to be compared with various existing techniques.
CROWDFUNDING SUCCESS FACTORS IN THAILAND

Crowdfunding is a modern alternative of financing and fund seeking. To the knowledge of the author, the following study is the first one that investigates crowdfunding related issues in Thailand and is therefore very unique. The purpose of the study is to find out which factors do have an impact on the success of crowdfunding projects in Thailand. Thus, several methods and analyses were conducted. Data of 174 crowdfunding projects based in Thailand and extracted from the world ́s largest crowdfunding platform www.kickstarter. com was examined. Several factors were found to have an impact on the outcome of a crowdfunding campaign such as the funding goal or the number of updates, which is the main communication tool between the campaign initiator and the backers. Since crowdfunding has not grown popularity in Thailand yet, future research will be needed in order to get a clearer understanding about this industry. However, this study sheds light on different success factors and provides useful insights on how to run a crowdfunding campaign successfully and which mistakes should be avoided.