Miracle-dz/UniFAR-FTUs huggingface dataset:
Biotechnological evaluation of extracellular matrix proteins expressed by cultured testicular cells

Sertoli cells and peritubular myoid cells play an important role in germ cell maturation and contribute in the process of spermatogenesis. The production of extracellular matrix components (ECM) by these cells is thought to mediate testicular development. We have selected primary culture of Sertoli cells, secondary culture of peritubular myoid cells and a transformed mouse cell line (MSC-1 cells) to evaluate production of selected ECM proteins. Previously we have reported biosynthetic cooperation between Sertoli cells and peritubular myoid cells with respect to production of ECM proteins and in particular, the production of fibronectin by peritubular myoid cells in vitro was enhanced when cultured in association with Sertoli cells. Here we evaluated primary culture of Sertoli cells, secondary culture of peritubular myoid cells, and the transformed MSC-1 cells in terms of expression of laminin and fibronectin by using various biotechniques. Laminin, but not fibronectin was detectable by immunocytochemistry in primary culture of Sertoli cells when cultured on glass coverslips. Secondary culture of peritubular myoid cells produced both laminin and fibronectin. In MSC-1 cells, both laminin and fibronectin were detected. Levels of soluble laminin and fibronectin secreted by the three types of cells were determined by an ELISA. The dot-blot analysis using specific antibodies for laminin and fibronectin was undertaken to demonstrate the expression of these ECM proteins. Primary Sertoli cells in culture secreted laminin, but did not secrete detectable amounts of fibronectin. Peritubular myoid cells and MSC-1 cells released high amounts of both laminin and fibronectin into the medium. To further confirm the difference in fibronectin expression by these cells we have conducted western blot analysis. A specific band of fibronectin at 220 kDa was observed in peritubular myoid cells and MSC-1 cells. Again, Sertoli cells in primary culture did not express a significant level of fibronectin. Furthermore, Sertoli cells demonstrated a much higher electrical resistance than the secondary culture of peritubular myoid cells or transformed MSC-1 cells when cultured on Matrigel coated Millipore-HA filters in bicameral chambers. Through biotechnological evaluation and screening we demonstrated the differences between these cultured testicular cells, which may be used to better understand the biology of the seminiferous tubule, and capture nuances of the in vivo cellular microenvironment.
A generic agent-oriented architecture

Following the appearance of several agent architectures proposed by designers during the processing of their SMA specific to their areas of research, we have decided to introduce a generic agent architecture composed of layers of agents and other optional components such as databases, web services, or other files. This generic architecture designed to better adapt existing and proposed architectures for multi-agent systems studied in other researches. The architecture proposed in this paper is based on a number of researches highlighting architectural data for specific multi-agent systems [1], [2], [3] etc. Indeed, it offers different agents types (presentation agent, business agent, data access agent.). The proposed architecture, considered as generic, is suitable for a large number of multi-agent systems. It can be configured according to the studied multi-agent system’s structure and to agents as well as the type of collaboration to develop. It has an open system in which we can remove or add new features that will be provided obviously by the agents.
Detecting Kidney Disease using Naïve Bayes and Decision Tree in Machine Learning

Chronic Kidney Disease (CKD) mostly influence patients suffered from difficulties due to diabetes or high blood pressure and make them unable to carry out their daily activities. In a survey , it has been revealed that one in 12 persons living in two biggest cities of India diagnosed of CKD features that put them at high risk for unfavourable outcomes. In this article, we have analyzed as well as anticipated chronic kidney disease by discovering the hidden pattern of the relationship using feature selection and Machine Learning classification approach like naive Bayes classifier and decision tree(J48). The dataset on which these approaches are applied is taken from UC Irvine repository. Based on certain feature, the approaches will predict whether a person is diagnosed with a CKD or Not CKD. While performing comparative analysis, it has been observed that J48 decision tree gives high accuracy rate in prediction. J48 classifier proves to be efficient and more effective in detecting kidney diseases.
LSTM Model for Semantic clustering of user-generated content using AI Geared to wearable Device

- In this paper we propose and investigate a novel end-to-end method for automatically generating short message responses, called Smart Reply. It generates semantically diverse suggestions that can be used as complete message responses with just one tap on wearable. The system is currently used in Inbox by Message and is responsible for assisting with 10% of all wearable responses. It is designed to work at very high throughput and process hundreds of millions of messages daily. The system exploits state-of-the-art, large-scale deep learning. We describe the architecture of the system as well as the challenges that we faced while building it, like response diversity and scalability. We also introduce a new method for semantic clustering of user-generated content that requires only a modest amount of explicitly labeled data.
British Journal of Marketing Studies

The mobile communication industry in Ghana cannot be successful without loyal customers. Thus, brand name is very critical factor to help retain customers thereby improving the bottom line of the firm. The purpose of this study was to investigate the extent to which brand name contributes to customer loyalty in mobile telecommunication brands in Ghana. The paper also finds out the factors that influence consumer choice of brand (mobile network) and why subscribers switch from one network to another. The study captured both qualitative and quantitative data. Data collection was conducted through a survey questionnaire comprising open and closed ended questions. To get the sample size for the study, 120 respondents were selected using simple random sampling but 150 were contacted because of data collection limitation such as non response. Statistical package for Social Sciences (SPSS) was used for data analysis. Statistical analysis includes Pearson correlation, logistic regression and descriptive statistics. Pearson correlation and regression were used to analyze the customer reasons for choosing a particular network as well as the relationship between customer association and brand attributes. The study found that, brand name does not really contribute to customer loyalty. Other factors such as the quality, price, availability, and sales promotion also contribute to customer loyalty. The study however revealed that, there are factors such as price, quality, price and quality and brand name that consumers consider when making a purchased decision, however, they mostly associate quality with the name of the mobile network brand purchase. Thus, any mobile network brand purchase is because of the quality but not necessarily the name.
A Survey of Military Application of Wireless Sensor Networks For Soldiers

: Wireless sensor network with a large number of sensor nodes can be used as an effective tool for gathering data in different ways. Wireless Sensor Networks (WSNs) with small nodes can use for sensing, computation, and wireless communications capabilities. Wireless sensor networks (WSNs) are a relatively new and rapidly developing technology; they have a wide range of applications including environmental monitoring, agriculture, public health and detect, identify and track adjacent hostile targets in military environments. In this paper we propose an application of WSNs in military enviroments
A New Proposed Design of a Stream Cipher Algorithm: Modified Grain - 128

— The objective of this research is to propose a new algorithm based on the existing Grain - 128 stream cipher algorithm. The comparison of Grain - 128 and Modified Grain - 128 will be evaluated by using NIST Statistical Test Suite. The NIST Statistical Test Suite is conducted to determine the randomness of both algorithms. Conclusively, the Modified Grain - 128 is random based on 1% of significance level compared to the Grain - 128 which is not random at the same significance level.
The Role of Rumination in the Relationship between Attention Deficits and Obsessive Compulsive Symptoms among Non Clinical Sample

The aim of the study was threefold. At first it attempted to determine the link between obsessive compulsive (OC) symptomatology and attention deficit, secondly it examined the relationship between OC symptoms and rumination, and finally the study analyzed the role of rumination in the development and maintenance of OC symptoms. Total 30 non clinical adult subjects participated in the research. They completed the Obsessive Compulsive Inventory – Revised (OCI-R) and the Rumination Response Scale (RRS). Subjects’ attention-identification task also was measured using computer based Cogstate. The data was analyzed using Spearman correlation and Regression and Sobel test of mediation. Findings suggest that OC symptoms have a significant association with rumination and attention deficits. However, rumination did not underline the relationship between attention deficit and obsessive compulsive symptomatology. The results were presented and discussed. It was expected that the results would help to further elucidate the role of cognitive factors in OCD and to expand the neurocognitive models of OCD.
A Novel Approach for Simple Quantum Digital signature based on Asymmetric Quantum Cryptography

In recent years quantum cryptography has received a lot of attention. A lot of schemes have been discussed so far in quantum cryptography including key distribution, signature and quantum message authentication etc. Here we discuss one more approach for signing classical messages using trapdoor one-way function. This approach is based on public-private key quantum cryptography. In particular we discuss trapdoor one-way functions those will be used in asymmetric quantum cryptography. After describing one-way functions, we will present an interesting algorithm for signing messages blindly.
The Relationship Between Entrepreneurship Orientation and Organizational Learning Toward Business Strategy and Business Performance of Cocoa’s Small and Medium Enterprises (SME) in East Kalimantan

The objective of this research was tested the relationship between entrepreneurship orientation and organizational learning toward business strategy and business performance of cocoa’s small and medium enterprises (SME) in East Kalimantan.The study was a confirmatory carries out by testing several hypotheses in order to figure out the causal relationship of all the above variables. All Small and Medium Enterprises (SME) of cocoa in East Kalimantan. A standardized questionnaire was distributed among different people pertinent to cocoa’s industry (distributors, whole sellers, retailers, sales force and employees etc). Questionnaires were used by random sampling technique. A model with hypotheses of the relationships between the constructs was built. The technical analysis applied to test the research hypothesis was Structural Equation Modeling (SEM) by AMOS program.The result of research showed that there were direct, significant and positive relationships between entrepreneurship orientation and organizational learning and business strategy; there were direct, significant and positive relationships between organizational learning and business strategy and business performance. There were no relationships between entrepreneurship orientation and business performance and there were no relationships between organizational learning and business strategy at cocoa’s small and medium enterprises (SME) in East Kalimantan.Benefit of this research can be used as scientific information regarding the variables of entrepreneurship orientation, organizational learning, business strategy and business performance. It can also be used as a basis to motivate improvement small scale industry. Keywords: Entrepreneurship orientation, organizational learning, business strategy, business performance
A Process of Web Usage Mining and Its Tools

: Now a days most of people are searching data in internet, to search a user needed data from different search engines ,that search data forming a queries format then only big data retrieve from the data base. The big data is the term used to describe the exponential growth and availability of data both structure and unstructured data. This paper deals with log file , overview of web mining process, various tools for web usage mining, filtering process, merits and demerits of web usage mining.
GENERATION OF ONLINE SUMMARIES IN ARBITRARY TIME DURATION FOR LARGE SCALE TWEET STREAMS

: Short-text messages such as tweets are being created and shared at an unprecedented rate. Tweets, in their raw form, while being informative, can also be overwhelming. For both end-users and data analysts, it is a nightmare to plow through millions of tweets which contain enormous amount of noise and redundancy. In this paper, we propose a novel continuous summarization framework called Sumblr to alleviate the problem. In contrast to the traditional document summarization methods which focus on static and small-scale data set, Sumblr is designed to deal with dynamic, fast arriving, and large-scale tweet streams. Our proposed framework consists of three major components. First, we propose an online tweet stream clustering algorithm to cluster tweets and maintain distilled statistics in a data structure called tweet cluster vector (TCV). Second, we develop a TCV-Rank summarization technique for generating online summaries and historical summaries of arbitrary time durations. Third, we design an effective topic evolution detection method, which monitors summary-based/volume-based variations to produce timelines automatically from tweet streams. Our experiments on large-scale real tweets demonstrate the efficiency and effectiveness of our framework.
Remedial Use of Withanolides from Withania Coagolans

Withanolides are a branch of alkaloids, which reported many remedial uses. Withanolides mainly exist in 58 species of solanaceous plants which belong to 22 generous. In this review, the phyochemistry, structure and synthesis of withanolieds are described. Withania coagulans Dunal belonging to the family Solanaceae is a small bush which is widely spread in south Asia. In this paper the biological activities of withanolieds from Withania coagulans described. Anti-inflammatory effect, anti cancer and alzheimer’s disease and their mechanisms, antihyperglycaemic, hypercholesterolemic, antifungal, antibacterial, cardiovascular effects and another activity are defined. This review described 76 compounds and structures of Withania coagulans.
Molecular identification of Mungbean yellow mosaic India virus (MYMIV) from whitefly and soybean in Jabalpur district of Madhya Pradesh, Central India

Yellow mosaic disease caused by genus Begomovirus which is transmitted through whitefly, Bemisia tabaci has become an important constraint for legume production particularly in soybean, urdbean, mungbean and other bean crops of India. The present investigation was performed with the aim to identify Mungbean yellow mosaic India virus (MYMIV) infection in soybean as well as whitefly with the use of coat protein (CP) primer. The genomic DNA templates from both were extracted and amplified with CP primer. DNA templates from yellow mosaic symptomatic plants and carrier whiteflies were amplified with a band size of ~750bp. The present study confirms the utility of CP primers for the detection of MYMIV which is found to be most prevalent yellow mosaic disease in soybean crop at Jabalpur district of Madhya Pradesh, Central India.
Selecting the Appropriate Feature Extraction Techniques for Automatic Medical Images Classification

In this paper, the most famous feature extractions techniques that have been utilized to represent medical x-ray images are compared. The point of this comparison is simply to select the appropriate techniques that will be used in our project - an automatic X-ray images classification’s project. The experiments were evaluated using the Support Vector Machines (SVM multiclass ) classifier and on dataset containing a subset from Image CLEF 2007 – large archive medical database. The comparison results showed that BoW and LBP outperformed the other techniques with 1% and 5% error rate respectively
A SURVEY ON FOCUSED CRAWLER FOR SEED URL SELECTION

— The World Wide Web (WWW) contains large amount of information due to the increase of web pages. Extracting relevant information from web requires suitable search strategies. Conventional search engine are not suitable anymore. Web documents that are suitable to predefined user interest topics are extracted from web by using focused crawler based on seed URLs selection. Ontology is a formal specification of knowledge by a set of concepts with in a domain and their semantic relationship. Different Ontologies are developed by developer for a same domain differently. In this paper we survey and review issues related to focused crawling strategies in semantic web.
TESTING HYPERION DATABASE SYSTEMS

In competitive and fast moving world of systems, reliability for services is must required attribute. Systems that fail on regular basis are not at all accepted. Such level of reliability is provided by dependable systems. Mutation testing can be used to enhance the reliability of a system by keeping a check on completeness and effectiveness of test cases. This paper discusses need of dependable systems followed by discussions of database systems as dependable. After that use of mutation operators in procedural, Object Oriented and declarative systems is discussed. At the end some mutations for SQL Queries are suggested.
Malware Classification by Using WEKATOOL

: An n-gram may be a sub-sequence of n things from a given sequence. N-grams square measure employed in varied areas of applied mathematics linguistic communication process and genetic sequence analysis. During which sequence analysis is that the method of comparison the sequence or series of attributes so as to seek out the similarity. Malware is nothing however malicious computer code that\'s designed by attackers for worrying computers. Malware variants can have distinct computer memory unit level representations whereas in principal belong to a similar family of malware. The computer memory unit level content is completely different as a result of tiny changes to the malware ASCII text file may end up in considerably different compiled code. During which programs square measure used as operational code (opcode) density histograms obtained through dynamic analysis. Dynamic analysis is that the method of testing and analysis of application or a program throughout period. A SVM is employed for classification or regression issues. It uses a way known as the kernel trick to remodel your information and so supported these transformations it finds associate degree optimum boundary between the doable outputs. We have a tendency to use static analysis to classify malware. It known a prefilter stage victimisation hex values of files, that may scale back the feature set and so scale back the coaching effort. The result shows that the relationships between options square measure complicated and straightforward statistics filtering approaches don't give a sensible approach. However, hex decimal primarily based produces an appropriate filter. The whole systems are going to be enforced in WEKA tool.
EFFICACY OF OSOM TRICHOMONAS RAPID TEST FOR THE DIAGNOSIS OF TRICHOMONIASIS IN FEMALES OF NORTH INDIA

BACKGROUND: Trichomonas vaginalis causes trichomoniasis, a common sexually transmitted disease, which may lead to adverse sequelae and increased risk of transmission of human immunodeficiency virus infection. Although wet mount examination is the most common test to diagnose it, but culture is considered as gold standard. Newer methods for diagnosis have recently been introduced like OSOM Trichomonas Rapid test which is based on Immunochromatographic assay of trichomonal protein antigens. Hence, the present study was done to evaluate the efficacy of OSOM Trichomonas Rapid test in comparison with conventional methods like Wet mount examination and Culture. MATERIALS AND METHODS: Vaginal swabs were taken from 615 female patients and Wet mount examination, Culture in Kupferberg medium and OSOM Trichomonas Rapid test were performed. RESULTS: Out of 615 patients included in our study, 46 (7.5%) positive cases of trichomoniasis were detected by culture. OSOM Trichomonas Rapid test detected 41 (6.5%) cases, whereas, wet mount examination could detect only 25 (4.1%) cases of Trichomonas vaginalis infection. Sensitivity and specificity of OSOM Trichomonas Rapid test was found to be 84.8% and 99.6% respectively, when compared to Wet mount examination which had sensitivity of 43.5% and specificity of 99.1%. CONCLUSION: As OSOM Trichomonas Rapid test gave results better than Wet mount examination & almost comparable to Culture, it should be recommended for use as a point of care test in peripheral areas lacking laboratory facilities. Since it is a rapid test, it will help in prompt diagnosis and early treatment of patients, thereby, preventing development of adverse sequelae.
DFT Studies on Ferroelectric Ceramics and Their Alloys: BaTiO3, PbTiO3, SrTiO3, AgNbO3, AgTaO3, PbxBa1−xTiO3 and SrxBa1−xTiO3

Aiming at a presentation of the utility of the state of art of first-principles methods (PBE flavor of Density Functional Theory, DFT) in the area of materials science and engineering, we present our studies of the equation of state and ferroelectric-paraelectricphase transition in several ferroelectric systems, including BaTiO3, PbTiO3, SrTiO3, AgNbO3, PbxBa1−xTiO3 and SrxBa1−xTiO3. We also report the Born effective charges, optical dielectric constant, and phonon dispersion relation properties from Density Functional Perturbation Theory. Computed results are compared with other theoretical results (which were mostly on BaTiO3, PbTiO3, cubic SrTiO3) using various approaches, as well as experiments. The studies on AgNbO3and alloys are the first calculations to the best of our knowledge. The predictions obtained by DFT studies presented are in good agreement with the experimental results.
Design and Performance Analysis of Filters Using a Proposed Window Function

: A new window function is presented which like the well known Hamming window offers a preferred property for use in signal spectrum analysis: the sum of window coefficients with its shifted version by half of the order is constant for the overlapped region in the time domain. In high orders, the new window has main-lobe width equal to Hamming window. For low orders, the window parameters are modified to have smaller main-lobe width compared to Hamming window, while maintaining smaller maximum side-lobe peak. The results indicate performance improvement of the proposed window compared to Kaiser and Gaussian windows. The FIR filters designed by windowing method show the efficiency of the new window.