Miracle-dz/UniFAR-FTUs huggingface dataset:
Micropropagation of Some Peach Rootstocks

This work was an attempt to develop an In vitro technique for propagation of Nemaguard and Okinawa peach rootstocks. The two rootstocks were cultured on MS medium supplemented with different concentrations of BA and IAA either alone or in combinations. Axillary buds were evaluated as explants. Data reported that addition of 0.5 mg / L BA to MS medium encouraged shoot proliferation compared with other treatments and control. Also, adding IAA at 0.1 mg /L to MS medium enhanced shoot proliferation compared with control. Addition of BA alone at multiplication stage at any concentration used was superior to 2iP regarding multiplication rate of shoots. The combination between BA and 2iP at 2.0+2.0 mg / L for each recorded the highest shoot number in comparison to other treatments and control. Moreover, maximum root number and root length was occurred when MS medium was supplemented with combination between NAA and IBA at 1.0 mg / L for each. [Edriss M. H. , Baghdadi G.A. , Abd El-Razek, A. M. , Abdrabboh G. A. and Abdel-Aziz, H. F. Micropropagation of Some Peach Rootstocks. Nat Sci 2014;12(3):106-114]. (ISSN: 1545-0740). http://www.sciencepub. net/nature. 16
Women in the Trenches: Barriers to Female Staff's Advancement in Higher Education

This qualitative phenomenological case study examined the intersection of organizational structures and gender, as well as perceptions of climate, and their collective impact on professional advancement opportunities of women working in lower-level positions in higher education, namely classified and professional staff (Acker, 1990; Allan, 2011; Kanter, 1977). Kanter’s (1977) theory of the role of structure in organizations posits that position in the organizational hierarchy and work role influence the amount of access an employee has to information, resources, promotional opportunities, and support. In gendered organizations (Acker, 1990,2006), women face barriers in advancement. While Kanter (1977) argued that structure not gender creates an imbalance of power within organizations, this study found that both structure and gender bias (Acker, 1990) act as intersecting promotional barriers for women, in particular for women located at the bottom of the hierarchy. Confidential interviews were conducted at two case sites with 10 female professional staff and 10 female classified staff. Findings showed that women in lower-level positions perceive a hostile work climate which perpetuates an us vs. them atmosphere; supervisors hold much power over the perceptions of climate and seem to be the key to access; the sticky-floor is alive and well for women in higher education; and the intersection of gender and position significantly impact women’s ability to advance professionally. Methods of improving policy and practice are discussed to include investing in people, shifting values, breaking down the caste system, supervisory training, communication, and career progression plans.
OPTIMIZED AND INTEGRATED TECHNIQUE FOR NETWORK LOAD BALANCING WITH NOSQL SYSTEMS

An integrated technique is proposed for handling social network interactions using Hadoop, which deals with huge computations as well as data analysis and Cassandra database’s replication strategy for fault tolerance in distributed Environment , which in turn helps in data analytics. Hypergraph is used as an input to Mapreduce programming model of Hadoop, which reduce the write frequencies across the partitions. Honeypot technique is used as an early-warning and advanced security surveillance tool for data security against the attackers. Finally moving this setup to cloud infrastructure would render good performance.
Analysis and prediction of diabetes diseases using machine learning algorithm: Ensemble approach

--------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Machine learning techniques (MLT) are used to predict the medical datasets at an early stage of safe human life . A huge medical datasets are accessible in different data repositories which used to in the real world application. Now a day Machine learning (ML) has the ability to answer questions. One of the missions is a prediction on disease data. Currently Diabetes Diseases (DD) are among the leading cause of death in the world. To group and predict symptoms in medical data, various data mining techniques were used by different researchers in different time. A total of 768 instances, data set from PIDD (Pima Indian Diabetes Data Set). In this system the most known predictive algorithms apply KNN, Naïve Bayes, Random forest, and J48. By using these algorithms make an ensemble hybrid model by combining individual techniques/methods into one in order to increase the performance and accuracy.
ECONOMIC AND SOCIAL NETWORKS : A CONCEPTUAL ANALYSIS

Economics of networks is a relatively new field of research. While the neoclassical economics treated increases in output as a function of technical relationships between inputs and outputs, the network based approaches treat increases in output not only as a functional relationship between inputs and outputs, but also as a function of economic and social networks forged between firms , individuals and institutions. Theoretical and empirical studies under different approaches show that firm formation, growth and output expansion are positively related to the economic and social networks formed by the different actors.
The Relationship between Primary Infertility and Depression among Women Attending Royal Medical Services Hospitals in Jordan

Being a mother is a passion and dream for each woman, that’s the humanized effect and unconditional love between child and mother. Building family is the main target of marriage, it involves relationships between wife husband and children, but some of couples live a distressing experience about bearing a child; one of this is the infertility. Infertility is categorized as primary, secondary infertility and sterility. According to the Center of Disease and Control Prevention (CDC) primary infertility defined as the inability to get pregnancy (conceive) after one year of unprotected sex. There are various causes of infertility in both men and women, they are mainly physiological dysfunctions and few of the causes are endocrine logical, anatomical, genetic and immunological reasons. Some of the physiological causes are related to the ovaries: Polycystic ovarian syndrome (PCOS), diminished ovarian reveres (DOR), premature ovarian insufficiency (POI), tubal occlusion and the causes may related to physical characteristics of the uterus.
EFFECT OF CORE MUSCLE STRENGTHENING ON BALANCE IN BADMINTON PLAYERS

Background: component of badminton players, which functions to maintain postural alignment and balance. However, it is not clear how it affects dynamic balance in sports persons. The pu core strengthening on static and dynamic balance in badminton players using SEBT, Stork test and Tandem Walk test. Methods: age 13.70 ± 1.47 years) from Badminton Academy, Mumbai were selected. Measurements of their pre test parameters were recorded. Intervention: program which consisted of four levels and lasted for 30 minutes per session. Subjects progressed to the next level at 2 Main outcome Me Stork test and tandem walk test. Results: and Stork test measuring static balance. (p value< 0.001) dynamic balance in healthy, young badminton players.
A REVIEW ON DEVELOPMENT OF SEISMIC HAZARD ANALYSIS OF INDIA

The present report highlights seismic vulnerability is closely dependent on the social and economic condition of the population. A brief review of past Probabilistic seismic hazard analysis (PSHA), Deterministic Seismic Hazard Analysis (DSHA) and site characterization of efforts for estimating seismic hazard in India Seismic hazard analysis (SHA) involves the quantitative estimation of ground shaking hazards at a particular site. Seismic hazard studies are needed for the preparation of earthquake loading regulations and for various earthquake risk management purposes. Probabilistic seismic hazard analysis (PSHA) is a technique for estimating the annual rate of exceedance of a specified ground motion at a site due to known and suspected earthquake sources. Probabilistic analysis provides a framework in which uncertainties in the size, location, and rate of recurrence and effects of earthquakes to be explicitly considered in the evaluation of seismic hazard. Well established probabilistic analysis procedure is adopted to compute the prevalent hazard in terms of peak ground acceleration (PGA), short period and long period spectral accelerations for different return periods.
Reprogramming of Wireless Sensor Network Securely with New Hybrid Encryption Scheme

Wireless Sensor networks consist of hundreds or thousands of low cost, low power and self-organizing nodes which are highly distributed. As wireless sensor networks continue to grow, so does the need for effective security mechanisms because sensor networks may interact with sensitive data. Encryption algorithms play good roles in information security systems (ISS). Those algorithms consume a significant amount of computing resources such as battery power. Wireless Sensor networks are powered by a battery which is a very limited resource. At present, various types of cryptographic algorithms provide high security to information on networks, but there are also has some drawbacks. The present asymmetric encryption methods and symmetric encryption methods can offer the security levels but with many limitations. For instance key maintenance is a great problem faced in symmetric encryption methods and less security level is the problem of asymmetric encryption methods even though key maintenance is easy. To improve the strength of these algorithms, we propose a new hybrid cryptographic algorithm in this paper. The algorithm is designed using combination of two symmetric cryptographic techniques and two Asymmetric cryptographic techniques. This protocol provides three cryptographic primitives, integrity, confidentiality and authentication. It is a hybrid encryption method where elliptical curve cryptography (ECC) and advanced encryption (AES) are combined to provide node encryption. RSA algorithm and Blowfish are combined to provide authentication and (MD5) for integrity. The results show that the proposed hybrid cryptographic algorithm gives better performance in terms of computation time and the size of cipher text. This paper tries to present a fair comparison between the new protocols with four existing different hybrid protocols according to power consumption. A comparison
Excessive Intake Salt Contribution to Cognitive Impairment in Mice

Dementia mice model was prepared by D-gal, Morris water maze was used for behavior research; c(WB) method was used for the pre-dementia protein expression research. Results showed that excessive intake of salt significantly decreased the memory ability and significantly prolonged the escape time and distance to get the platform; WB results showed that expressions of beta amyloid (Aβ) and β-site APP cleaving enzyme 1 (BACE1) significantly increased and the NEP expression significantly decreased under the condition of excessive salt intake. Results suggest that excessive salt intake can regulate the protein expressions of Aβ, BACE1 and neprilysin to enhance D-gal-induced dementia.
Knowledge, attitude and perception of gingival pigmentation among students aged 18-23 Years in UP, India

Background: The clinical appearance of sound gingiva differs from individual to individual and even at different sites in the oral cavity. Some characteristics are genetically influenced; others appear to be determined by external factors, and biological factors such as growth, gender and age. The present study was carried out to assess and compare knowledge, perception, awareness, extent, severity and factors affecting gingival pigmentation among 18-23 year old males and females studying in an institution in UP, India. Materials & Method: The study sample consisted of 300 degree college students aged between 18 to 23 years. A structured and self-administered questionnaire was used for obtaining information on knowledge, perception, awareness and clinical observations with regard to gingival pigmentation among the participating students. Results: It was observed that 87% males and 43% females in the 14-18 region, in 87% males and 54.7% females in 13-23 region, 93.5% males and 40.8% females in 24-28 region, 87% males and 45.3% females in the 44-48 region, 87% males and 59.2% females in the 33-43 region, 87% males and 40.8% females in the 34-38 region of the gingiva. Gingival pigmentation was found to be more of mild to moderate than severe, among the students. About half of the study population was still unaware of the treatment modalities available for reduction of gingival pigmentation. A little more than half of the population was not willing to undergo depigmentation procedures the most common reason was that they were fine with the appearance of their own gingiva. Conclusion: This study showed that females had higher prevalence of gingival pigmentation in the area of the smile line and were more concerned about the appearance of their gingiva than males.
Relationship between Social Health and Internet Addiction in Students of Tehran University of Social Welfare and Rehabilitation Sciences 2013

Background and Objective: target of this research was to study Relationship between social health and internet addiction in students of University of Social Welfare And Rehabilitation Sciences. Methods: the method of this study was cross sectional. The sample size was all students of university of Social Welfare And Rehabilitation Sciences. The sample size was 153. Three questionnaires, Social demographic, social health and Internet addiction questionnaires were used for collecting data. SPSS and correlation coefficients were used for analysis of data. Results: The relationship between social health and internet addiction was negative and significant but Relationship between gender, branch and level with internet addiction was not significant. Conclusion: The findings showed there is significant relationship between social health and internet addiction. KEYWORDS— Social health– internetinternet addiction–demographic variables – University Students.
Offline Signature verification scheme using DTI and NN classifiers

- Signature detection have a major issue in digital verification of signature without using online help. Handwritten signature is one of the most vastly accepted personal attributes for identity verification. The main area of research on signature verification is in the field of pattern recognition and image processing. Earlier different method of feature detection and classifications has been used for the same purpose. We propose a novel approach in which we are doing vigorous feature detection and using Classifiers like Decision tree induction and Neural Networks. We setup a simulation environment in matlab for both feature detection and classification.
Improvisation of Incremental Computing in Hadoop Architecture with File Caching

— Incremental data is a difficult problem, as it requires the continues development of well defined algorithms and a runtime system to support the continuous progress in computation. Many online data sets are elastic in nature. New entries get added with respect to the progress in the application. The Hadoop is a dedicated to the processing of distributed data and used to manipulate the large amount of distributed data. This manipulation not only contains storage but also the computation and processing of the data. Hadoop is used for data centric applications where data plays a vital role in making the decisions. Systems for incremental bulk data processing and computation can efficiently used for the updates but are not compatible with the non-incremental systems such as e.g., MapReduce, and more importantly and requires the programmer to implement application-specific incremental methodologies which ultimately increases algorithm and code complexity. Thus this paper discusses about the various aspects of the incremental computation and file caching.
Hand Movement Classification Using Motor Imagery EEG

: Brain computer interfaces (BCI) offers imagination of various limb movements for patients suffering from several physical hindrances. Moreover, BCI also offers analysis of motor imagery EEG, which can be shown is a new way of communication for these patients. Motor imagery data for hand movement classification like left hand & right hand movement are available on Physionet ATM or BCI competition datasetIII. Using different feature extraction and classification method, we can get best result in the form of accuracy for hand movement classification.
Specification of Document Structure and Code Generation for Web Content Management

This paper presents a simple model for declarative specification of the structure of documents for web-based content management. The proposed model allows the description of the hierarchical structure of multi-lingual documents, relationships, and organization among documents of same type. We specify this model in a way that allows building specifications using drag-and-drop interfaces. Then, we use these specifications in order to automatically generate the necessary database schemas and code for managing these documents. The final goal is to provide unobtrusive automatic code generation that is strongly based on widely used design patterns and thus fits into common workflows in web application development. The usage of such models should further reduce development time in Rapid Application Development processes, especially by shortening the time from gathering requirements to having an executable application.
An Efficient Optimization Technique for Hiding Information

— With the advancement in ICT, most of information is kept electronically. Therefore, the security of information has become a fundamental issue. With the growing possibilities of modern communications, there is need for the special means of security especially on computer network. As the number of data being exchanged on the internet increases the network security is becoming more important. Thus, the confidentiality and data integrity are needed to protect against unauthorized access and use. In this paper, an efficient technique is proposed using optimized AES and GA. Performance assessment of the proposed method is carried out with image quality such as peak signal to noise ratio (PSNR), mean Square Error (MSE), maximum absolute error (MAXERR) and ratio of squared norms (L2RAT). Performance of encryption algorithm is evaluated considering the Computational Time.
NEW MODEL OF CFRP-CONFINED CIRCULAR CONCRETE

The application of fiber-reinforced polymer (FRP) composites in civil engineering works has increased in recent years, especially in the area of strengthening concrete columns. The objective of this research is to develop new mathematical models for predicting the confined compressive strength of carbon FRP (CFRP) circular concrete columns using artificial neural networks (ANNs), which is done using 208 excremental data results collected from the literature. Two mathematical models were developed: one depended on six input parameters, whereas the other depended only on three important parameters, namely, unconfined compressive strength of concrete, total thickness of the CFRP, and tensile strength of CFRP along the hoop direction. Comparison of the new two models using experimental data showed a good agreement and accuracy of the developed ANN models in predicting the CFRP-confined compressive strength of circular concrete columns. The new models were also used to perform a parametric study to evaluate the effect of the input parameters on the CFRP-confined compressive strength of circular concrete columns.
A Variant of K-Means Clustering through Heuristic Initial Seed Selection for Improved Clustering of Data

Unsupervised clustering algorithms have been used in many applications to group the data based on relevant similarity metrics. K-Means clustering is one of the most widely used clustering techniques owing to its simplicity. Many improvements and extensions have been proposed for this algorithm in view to improve its performance. Out of the various dimensions that have been explored in this regard such as mean computation, centroid representation, initial seed/cluster centre selection and similarity calculation methods, the choice of initial cluster centre is found to have a profound impact in the performance of the algorithm. Existing methods chose the cluster centres either randomly or based on heuristics such as maximum distance property, maximum probability of the squared distance, points with maximum points lying close to it etc. In this paper, a strategy to select relevant initial cluster centres for two-cluster grouping problems is proposed based on the measures indicating the statistical distribution of the data in view to improve the clustering performance in terms of accuracy. These measures include minimum, maximum, median, mean and skew of the data. The algorithm is validated on datasets from UCI repository viz. Balance, BloodDonate, Diabetes, Ionosphere, Parkinsons and Sonar and synthetic datasets. The performance of the proposed algorithm is compared with K-Means and its variants and found to achieve better performance in terms of accuracy. An increase is accuracy of approximately 0.25%-18% is observed across the datasets.
DESIGN AND IMPLEMENTATION OF FEATURE RULE BASED STRUCTURED INFORMATION EXTRACTION ALGORITHM

– The website, with its explosive growth, is becoming an efficient resource for updating information for the scientific researcher. Files in informal online are repositories for technical reports. Acts are more and more commonly published on the web. The online journal collection is growing. Most of the data is in the form of unstructured text so that the information difficult to consult. Many websites have large collections of pages containing structured data. In this paper, the problem of automatically extracting the values of database template generated studied examples web sites without human intervention or other similar learning. Experimental evaluation of a large number of pages of actual collections entry indicates that our algorithm efficiently extracts the data in most cases. This explores the problem in detail and presents some solutions for extracting texts.
Decode and Forward Cooperative Diversity for Modified SV Model Based UWB Communication System

— Cooperative wireless networks have emerged as a major technology for future communication systems because cooperation in ad-hoc networks can save limited network resources. Cooperative techniques are the means to adopt the diversity, which is inherent in a wireless medium. While ultra-wideband (UWB) offers high information rates for wireless communication and sensor networks, the EIRP limits on UWB devices severely affects its coverage radius. This paper aims to investigate the possible improvement of a cooperative system, using decode and forward (DAF) protocol. The proposed DAF scheme along with Amplify-and-Forward (AAF) cooperative protocol for modified SV model based UWB channel is examined to determine the BER performance. Different combining methods are used and their performances for UWB system are analyzed. The result indicates that DAF provides satisfactory performance over direct link transmission. Also error detection mechanism at the realy can provide improved performance for both MRC and ERC, in case of DAF protocol.