Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Environments Condition on Corporate Entrepreneurship and Performance: Empirical study of Iranian SMEs

Modern business environments have two major features Complexity and Uncertainty. These two characteristics can affect and create stress for young and small businesses. On one hand, remaining in such a competitive environment requires entrepreneurial capabilities, and on the other hand, aspects of corporate entrepreneurial behavior are also heavily influenced by the nature of their relations with the environment. Additionally, in recent years many more firms are looking to compete in the global market and engage corporate entrepreneurship. Therefore, it is essential to identify and analyze the environmental components.On the other hand, nowadays small and medium size enterprises play key role on economic and social growth and development process. These businesses due to having great share on national gross production, employment and reducing economic problems have crucial importance. Therefore, it is necessary for planners and policy makers to pay specific attention to this issue in order to take duly action for improving such institutes. Select volume sample it was benefit from Morgan sampling table, the number of 240 active small and medium size business managers persons were selected as volume sample, this study tries to find out the effect of Environments components and corporate entrepreneurship and performance in Iranian small and medium enterprises. Results of SEM indicated that environmental factors were effective regarding corporate entrepreneurship and performance.
Mammography Based Classification of Benign and Malignant Masses Using Artificial Neural Network

— Artificial neural network has been broadly utilized as a part of different fields as a wise instrument as of late, for example, artificial knowledge, design acknowledgment, medicinal determination, machine learning et cetera. The characterization of breast disease is a therapeutic application that represents an awesome test for analysts and researchers. As of late, the neural network has turned into a well-known device in the order of malignancy datasets. Significant detriments of artificial neural network (ANN) classifier are because of its slow merging and continually being caught at the neighborhood minima. In this paper we proposed a Nobel method for finding the breast cancer in the patent. We have used artificial neural network to classify the disease. Our proposed mechanism effectively classify the cancerous and non-cancerous mammogram of the female breast.
DESIGN OF TCM DECODERS USING OPTIMIZED VITERBI DECODER

-The use of forward error correcting codes in the digital communication is used to overcome the data corruptions. Although widely-used, the most popular communications decoding algorithm, the Viterbi algorithm, requires an exponential increase in hardware complexity to achieve greater decode accuracy. The Viterbi decoder that forms the dominant module of TCM decoders are responsible for the overall power consumption. We have analyzed the original T-algorithm with that of the precomputation architecture’s of the T-algorithm. The T-algorithm reduces the complexity of the original viterbi algorithm and reduces the power consumption by 70%. This can be done with the reduction in the negligible clock speed.
AN EFFICIENT XML DATA STREAMING METHOD IN MOBILE WIRELESS NETWORK

– XML documents are arriving at a rapid rate and the server is engaged for managing these documents and disseminating them to a pool of clients. An energy and latency efficient of XML dissemination scheme for the mobile computing is considered here. Therefore define a innovative unit structure called G-node for streaming the XML data in wireless environment. The system propose a weightless and sufficient cipher scheme, called Lineage Encoding, to guide the valuation of predicates and twig pattern inquiry over the stream. The global query processing time must also be reduced to provide fast response to the users. The XML broadcasting is done efficiently in such a way that the Server can support dynamic dissemination of a G node without any interruption in Broadcasting. The benefits of the structure indexing and attribute summarization that integrate relevant XML elements into a group and contribute a way for careful access of their quality values in a dynamic way that broadcasting can be done dynamically supporting Twig Pattern Queries.
SOCIAL COMPETENCE OF ENTREPRENEURS WITH DISABILITIES

There is a growing awareness of the fact that entrepreneurship, as a labour option for people with disabilities, is a way of inclusion in the professional world. Inspire of that, most of the literature is not concerned about that circumstance and its focus is on studying either the conditions of the entrepreneurial environment or the characteristics of entrepreneurs. As a result of this, it is necessary to analyse entrepreneurial competencies of people with disabilities; especially, those competencies that play an important role in the success of their entrepreneurial project, particularly social competences. Moreover, it is possible that, given the particular situation of people with disabilities, such a competence is more frequent in that collective. In carrying out our analysis, a research study is developed following a questionnaire conducted on 224 persons with certain disabilities. The results of such research study indicate a good of social competence level including empathy, organisational competence and service orientation. Furthermore, there is a significant relationship between social competence generally speaking, which involves in particular the service orientation dimension, on one hand, and both entrepreneurial condition and the most relevant factors of abandonment of a business, on the other hand. As a consequence of that, the importance of such competence for entrepreneurs with disabilities is emphasized.
Central Nervous Control of Blood Pressure in Man; Preliminary Report

Clinicians have long recognized the importance of the mind in the moment-to-moment regulation of blood pressure in their hypertensive patients. Ayman and Goldshine (1940) long ago demonstrated that blood pressure measured by a physician in a hospital clinic was always higher than the pressure recorded by the same patient or by a member of his family in his home. Pickering's group (Richardson et al., 1964), using an automatic blood pressure recorder, has recently shown that elevation in blood pressure ranging from 10 to 50 mm Hg occurred when a physician entered the patient's room merely to say a word of greeting. Figure 1 illustrates the dramatic rise in the pressure of a hypertensive subject during examination by an unfamiliar neurologist who concluded, within the patient's hearing, that brain damage was present. To study further the relation between cerebral activity and blood pressure, we have recorded electroencephalograms and intra-arterial blood pressure in normal people during natural sleep.
Performance Analysis of Social Network Algorithms on Real World Networks

: In the era of social networking, the size of networks is increasing day by day. Since the nodes in a network may contain some hidden information, it is necessary to study the community structure. In the literature, there are several existing community detection algorithms to detect the community structure algorithms like Walktrap, Multilevel, Eigenvector and InfoMap algorithm etc. In this paper, we have analyzed the modularity value of each of the algorithms of eight dissimilar sized real networks. We have also investigated the community count of networks using each of the algorithms. The performance of different algorithms has been analyzed by using different performance measures and we have emerged with an analysis that the multilevel algorithm works best among all the other algorithms and the Variance of Information ( vi ) is found to have dissipated the best value among four other performance measures. All the analysis is performed by using R programming language. The plot of some real-world networks has also taken in the R-studio. The real networks are analyzed in terms of modularity as well as time complexity.
ALGORITHM FOR RESEARCH PAPER RECOMMENDATION SYSTEM

: In daily life we need many things to be searched over the internet, for search purpose there are many search engines are available. Whenever we search something we try to get the most relevant results. Recommender systems, generally uses COLLABORATIVE FILTERING ALGORITHM to fetch the results. This paper will discuss, how we can actually use different algorithms and developed such a powerful tool, as can provide more useful search results for the users. A technique will be using many things like users and their data, their queries, to find relevance between two users on the basis of their queries, as we can say if two users are searching for the same thing they may be interested in same field. by having this information we can suggest some more related items to other users. Discussion will be related to different algorithms like Check URL Algorithm, Subspace Clustering Algorithm.
Dynamic Security Architecture among E-Commerce Websites

Nowadays privileged channel is utilized by the ISPs and other websites for handling privilege services of important clients only, there by normal clients are discriminated against getting access to privilege channel service. Thus a new global movement known as “Net Neutrality” for providing an open and non-discriminating Internet is fast popularizing in India, Europe and other parts of the world. We are proposing a system among E-Commerce websites so that without much difficulty even normal clients are able to access a particular destination website through a source website using privilege channel network without any hindrance from the ISP and also provides a security protocol for safer referrals. The existing system of security protocols doesn’t allow the e-commerce websites to come forward for making the referral service an option for business opportunity. They are reluctant to initiate site-to-site referral due to security risks and other opportunities they need to sacrifice. The proposed system using site graph shows how mutually trusted web servers can effectively implement a secure referral system by coordinating the traffic flow of referred clients. DDoS attacks and Phishing attacks focused on a particular website can be effectively averted by this coordinated security protocol among e-commerce web servers.
A Survey on Data Mining Techniques for Maximizing Ride-Sharing Route

: The concept of Ride-Sharing (RS) is very important valuables of environment because it saving energy and destroy the traffic pressure or traffic congestion. Riding sharing helps to improve resource utilization by sharing the resource for multiple users. Generally maximizing route ride sharing is more difficult and crucial process, because ride sharing includes shared route’s distance, total travel distance, route percentage, and waiting time and peak-time traffic. The previous studies have used several features to maximizing route ride sharing, which has been collected from shared route percentage (SRP). The main drawbacks of the previous studies are that need accurate and more number of SRP. Data mining is an effective way to solve such problems in the road network. This paper surveys about the recent data mining various techniques and methods used to ride-sharing (RS) problem.
Evaluation of the Patients with Severe LV Systolic Dysfunction and Mitral Valve Stenosis after Percutaneous Transvenous Mitral Commissurotomy

Introduction: A valid alternative to surgical therapy in selected patients with mitral stenosis is percutaneous transvenous mitral commissurotomy (PTMC). There is an increase in preload and severe heart failure in patients with severe LV dysfunction and severe mitral stenosis (MS) after PTMC. In the present study, we evaluate the patients with MS who underwent PTMC aimed at dyspnea and pulmonary hypertension. Method: In this cross-sectional study, 20 patients with severe LV systolic dysfunction (LVEF less than 35%) and severe MS (MVA<1.5 cm2) who underwent PTMC between March-2009 and March-2015 were enrolled. TTE was performed a day before, one day, and six months after PTMC. Mitral valve area (MVA) and systolic pulmonary atrial pressure (SPAP) before and after the procedure were compared. Result: Eleven (55%) patients were female (mean age: 46.0 ± 13.09). All patients underwent successful PTMC without any complications. The systolic PAP decreases significantly from 61.25 ± 9.15 mmHg at baseline to 36.75 ± 3.72 mmHg one day after procedure (p<0.0001), also it reached to 34.5 ± 3.2 mmHg 6 month after PTMC. The Mitral valve area (MVA) increased from 0.76 ± 0.14 cm2 at baseline to 1.26 ± 0.17 cm2 one day later. Also, NYHA Functional class in the majority of patients significantly improved. Conclusion: Mitral valve area and pulmonary artery pressures appeared to influence the outcome of PTMC. Despite the increased preload in patients with severe systolic LV dysfunction, dyspnea recovered, and FC and SPAP were significantly reduced after six months of performing PTMC.
Selection of Friends Based on Strategies in SIOT

: Internet of Things (IoT) has objects that can automatically communicate with each other to achieve a common goal. Different types of sensors and actuators can be embedded within existing objects to make it smart. When social networking concepts are integrated into Internet of Things, then it is called social internet of things. The structure of Social Internet of Things can be shaped as required to guarantee network navigability. A set of objects which directly communicate with a device are called its friends. Service selection is a search which is carried out in Internet of Things using only the local information. Thus the search is carried out in a distributed manner. As the number of devices increases in Internet, the number of friendships a device can have is also increases. This leads to requirements for high computation and more memory for storing the information about friends which is needed for link selection during searching for a service. The proposed work aims at limiting the number of friendship a device can have without compromising the network navigability so that all devices can directly or indirectly communicate with all other devices in the network. This makes the service search more efficient. Memory needed is also limited to cope up with small devices having low configuration.
Výskyt bolesti u myotonické dystrofie

Myotonicka dystrofie je nejcastějsi formou svalove dystrofie u dospělých. Hlavnimi projevy jsou progredujici svalova slabost, myotonie a charakteristicka multiorganova postiženi. Bolest je castým (až 75 % pacientů) a zavažným přiznakem choroby. Bolest neni u vsech pacientů stejna, ma různou intenzitu, trvani, lokalizaci a charakter. Větsinou je průměrne intenzity, ma dlouhodobý charakter a kolisavý průběh. Intenzita ci vůbec přitomnost bolesti nemiva obvykle souvislost s věkem nemocneho ci tiži symptomů onemocněni. Nejcastěji udavanou lokalizaci bolesti je dolni oblast zad, stehna, lýtka, paže, ramena a krk. Pacienti udavaji rozdilne typy bolesti, a to bolesti trhave, bodave, vycerpavajici, pobolivani ci pouze nepřijemne pocity ve svalech jako napěti, pocit tihy, citlivost, paleni, brněni ci křece. Nejcastěji uživanou terapii je medikamentozni lecba.
International Journal of Agriculture and Environmental Research

Cabbage (Brassica oleracea var. capitata) is the second most important vegetable crop in Ethiopia. Many insect pest species belonging to 16 families have been recorded on cabbages. Therefore the objective of this study was to assess the efficacy of botanicals for managing diamondback moth on head cabbage. The experiment was conducted using irrigation at Adami Tulu Agricultural Research Center (ATARC) during 2013September to December. The head cabbage variety Copenhagen Market was used for this experiment. Treatments were arranged in randomized complete block design (RCBD) with four replications. For DBM management four locally available botanicals was sprayed continuously for six weeks. Throughout the growing season neem significantly reduced the DBM larvae and pupae population. Highly significant differences among the treatments were observed after application of botanicals and chemical on DBM larvae and pupae. All botanical treatments reduced the number of DBM larval population and increased marketable yield. The highest marketable cabbage yield was obtained from plots sprayed with neem.
Integration of Big Data & Cloud Computing To Detect Black Money Rotation with Range – Aggregate Queries

— the big data is difficult to be analyzed due to the presence and characteristics of huge amount of data. Hadoop technology plays a key role in analyzing the large scale data. The aggregate queries are executed on more columns concurrently and it is difficult for huge amount of data. This paper is proposing the method in which the fast RAQ is dividing the big data in to autonomous partitions by means of a balanced partition algorithm and later for each partition a local assessment sketch is generated. By the arrival of the range-aggregate query demand the fast RAQ gets the result in a direct manner by shortening local estimate from all partition and then the cooperative results are provided. Thus in fast RAQ technique three tier Architecture is insisted and they are of 1.Extracting the helpful information’s from Unstructured Data, 2.Implementation of the big data in Multi system Approach, 3.Application Deployment – Insurance/ Banking. This paper is implement for the banking domain process and two major departments are involved in this process and they are 1.To maintain the accounts and for adding new clients the Bank Server is used. To create account in any bank the user have to give their ID proof at the time of registration.2. Account Monitoring Server is used for monitoring every users accounts in various banks and this server is used for retrieving the users who are maintaining and transacting more than Rs 50,000 per annum in various bank accounts by using the similar ID proof is identified by Map Reduce technique. The Online Aggregation is a smart sampling-based method that is performed to provide response to aggregation query by an approximation to the last outcome, with the self-assurance interval which is becoming tighter eventually. It is built into a Map-Reduce-based cloud scheme for analytics of the big data that allows the user to save the money by means of killing the calculation early and to observe the query progress when the enough accuracy is achieved.
Hubness in Unsupervised Outlier Detection Techniques for High Dimensional Data –A Survey

: -- Outlier detection in high dimensional data becomes an emerging technique in today’s research in the area of data mining. It attempts to find objects that are considerably unrelated, unique and inconsistent with respect to the majority of data in an input database. It also poses various challenges resulting from the increase of dimensionality. Due to the “increase of dimensionality,” distance becomes meaningless. Hubness is an aspect for the increase of dimensionality pertaining to nearest neighbors which has come to an attention. This survey article, discusses some important aspects of the hubness in detail and presents a comprehensive review on the state-of-the-art specialized algorithms for unsupervised outlier detection for high dimensional data and role of hubness.
Preparation and Characterization of Collagen /Alginate Biocomposite Functionalized with Graphene Oxide for Wound Healing Applications

The present work aims at fabricating a novel scaffold consisting of Collagen/Alginate/Graphene oxide as a biomaterial to be used in wound healing. Collagen was extracted from Chrome Leather Wastes (CLW) and is used in wound dressings because of its properties like biodegradability, biocompatibility, nontoxicity, ability to absorb large amounts of exudates, etc. Alginate, a naturally occurring biopolymer is used in addition to collagen because of its excellent biocompatible, biodegradable, cell affinity, gelling, nonantigenic, chelating ability, immobilization of specific ligands, physical and chemical crosslinking properties. Graphene oxide, synthesized by modified method is used to prepare the biocomposite for its high mechanical strength. The surface morphology was studied using SEM showed sponge-like appearance indicating the presence of collagen, alginate, and graphene oxide. FTIR and FTRAMAN were employed to characterize the scaffold. TGA proved that the scaffold was stable at high temperature. Other physicochemical characterizations like antibacterial activity and water absorption capacity were carried out to study the effect of graphene oxide in combination with collagen and alginate. Since, collagen and alginate are used as separate biomaterials for wound dressing showed good results, a combination of both incorporated with GO was checked for results and it showed a great improvement in all the properties.
Early Onset Anorexia Nervosa – Case Series

Food intake disorders occur mainly in girls and young women with the development of symptoms often in childhood and adolescence. The highest incidence being between the 13th and 15th year of age. However, we are increasingly confronted with the occurrence of eating disorders, especially anorexia nervosa, in younger patients, with so-called early onset anorexia nervosa [1]. Bravender et al. [2] point to an increased incidence at approximately 10 years of age. The term “early onset” of anorexia nervosa was used for patients between 8-14 years of age, sometimes premenstrual patients were included in the early onset of the disorder. As in adulthood, there are more girls than boys suffering from anorexia nervosa. In adulthood, this ratio is quoted at 1:10; but in childhood, the proportion of boys in the cohort increases [3,4]. The diagnostic criteria for eating disorders listed in the International Classification of Diseases, 10th Edition [5] also apply to children and adolescents, but developmental aspects in the cognitive, emotional and social fields, including family relationships, must also be taken into account. The area of biological development that leads to a number of changes, including the need to accept adolescence, is also important. In childhood, simplified clinical criteria are recommended to diagnose anorexia nervosa: deliberate weight loss (e.g. avoidance of food, induced vomiting, excessive physical exercise, abuse of laxatives), inappropriate perception and beliefs about weight or figure, obsessive attention to weight and body. The sequence of pubertal events (for example the onset of periods) is delayed or even arrested [5]. Other characteristics of anorexia nervosa in children include personality features of avoidance, emotional withdrawal and social conformity, while perfectionist features are also common. There is a tendency to deny intentional starvation, children often complain of anorexia and abdominal pain. The comorbidity with depression and obsessive compulsive disorder is frequent. Triggering factors may include change of school or group of peers, problems in family relationships, and experience of loss. In childhood, the role of the family is important, family relationships are applied both in the development of the symptomatology and in its maintenance. Conflicts with parents concerning food are practically always present. At the same time, these are often children who have so far complied with the parents in all aspects. If the relationships in the family have not been disturbed before the onset of the disease, they will be affected by its development. The therapy must be adapted to the developmental period – it is necessary to take into account the differences in developmental tasks of pre-pubertal, pubertal and adolescent children, the character of their personality and the family relationships [6,7].