Miracle-dz/UniFAR-FTUs huggingface dataset:
in Computer

: Finger print and its matching technique has its own impact and applicationin variousareas such as authentication, secure identity, secure card manufacturing and many areas where large data and unique identity is required to be maintained. Content based matching techniques such as feature extraction have been implemented by various authors. Feature extraction based on angle based technique to generate security codes using information of angles obtained from quadrangle and pentangle based Delaunay schemes have been used. In this paper, hexangle based Delaunay scheme is proposed and compared with pentangle based Delaunay scheme.Base of false accept rate( FAR) ,false reject rate(FRR) and equal error rate(EER)have been used as parameter to compare pentangle and hexangle Delaunay based fingerprint matching and it is found the proposed hexangle based scheme guaranteed low FRR =1.3,FAR=0 and EER=0.69 than existing system.
Biogenic Synthesis Of Gold Nanoparticles Using Leaf Extract Of Tephrosia purpurea And Study Of Their Antibacterial Effect

Nanobiotechnology has emerged as integration between biotechnology and nanotechnology for developing bioactive, biosynthetic and ecofriendly technology for synthesis of nanomaterials. Development of eco-friendly process for the synthesis of nanoparticles is one of the main steps in the area of nanotechnology research. The synthesis, characterization, and application of biologically synthesized nanomaterial have become an important branch of nanotechnology. Hence, there is significant current interest in preparing nano-materials of small size. This manuscript describes ways of synthesising gold nanoparticles by using leaf extract Tephrosia Purpurea. The synthesis of gold nanoparticles was rapid and within few hrs gold ion makes contact with the leaf extract of Tephrosia Purpurea was reduce AUCL4 in to fine gold nanoparticles. The appearance of reddish colloidal dispersion indicates the synthesis of Gold Nano particles. UV Spectral analysis indicated that the reduction of tetra auric chloride (AUCL4) occurred in a short reaction period and showed a peak at 540 nm due to the surface Plasmon resonance of gold nanoparticles. The gold Nano particles are characterized by FTIR, SEM. The antibacterial activities of the studied nanoparticles were tested for biological applications. The antibacterial activity of gold nanoparticle is studied with the bacteria Escherichia coli, Enterobacter faecalis, Staphylococcus aureus and Klebsiella pneumoniae. The gold nanoparticles conjugated with the Tetracycline antibiotics shows the high zone of inhibition in both the organisms. This result confirms the prepared gold nanoparticles can be used as a good antibacterial agent. The synthesized gold nanoparticle can be used in various fields as an antibacterial agent.
Kuder-Richardson Coefficient Based Trust Mechanism for Service Discovery in MANETs

— Service discovery in Mobile Ad hoc networks is highly crucial due to the lack of centralized infrastructure. Furthermore, varieties of services available through the network may require different levels of security. Thus, a need arises for formulating and deploying an efficient trust oriented service discovery mechanism distributed in each and every node in the ad hoc scenario in order to reduce the complexity in providing the services to the network users. In this paper, we have proposed a Kuder-Richardson co-efficient based trust mechanism (KRCBM) for service discovery in MANET. This effective mechanism works with the aid of the trust value called Kuder-Richardson co-efficient, which manipulates the reliability of the group of nodes participating in the ad hoc environment. This trust model possesses an inherent ability of designating various protection levels for services discovery. Based on the designated level of the services, secure communication is established. The performances of KRCBM are analyzed through ns-2 simulations with the help of performance metrics like packet delivery ratio, Control Overhead and total overhead. From the simulation results obtained, it is proved that the proposed mechanism performs well when compared to the other trust based mechanisms available in the literature by reducing the packet drops to a maximum extent.
A Study of Teaching Competency of Prospective Teachers in Relation to their Emotional Intelligence

The study present was undertaken to find out the correlation between emotional intelligence and teaching competency of prospective teachers. The total sample for the study comprises of 200 prospective teachers (100 male and 100 female prospective teachers) of Bhiwani district. The sample was taken from the different colleges of Education of Bhiwani district. G.T. C.S. (General Teaching Competency Scale) developed by Passi and Lalita and Emotional Intelligence Inventory developed by Dr. S.K. Mangal were used to collect the data. The findings of the study revealed that emotional intelligence level of prospective teachers is average and they have moderate attitude towards teaching. There is no significant difference in emotional intelligence and teaching competency of male and female prospective teachers indicating that Sex factor has no impact on the level of emotional intelligence and teaching competency. In our study it was observed that teachers who were emotionally intelligent had also good teaching competency as shown by correlation. From this study we may conclude that there is a significant and positive correlation between emotional intelligence and teaching competency, with no significant difference in teaching competency and emotional intelligence of male and female prospective teachers.
Aspects of the pathophysiology of early diabetic nephropathy

In this thesis, I have focussed on a number of clinical aspects of the pathophysiology of early diabetic nephropathy which have previously received little attention. a) Early diabetic nephropathy, hypertension and vascular disease 1. Patients with IDDM, both with normal albumin excretion and microalbuminuria, have no evidence of a defect of urinary dopamine excretion. This genetically determined association with essential hypertension does not, therefore, explain the link between early diabetic nephropathy and hypertension. 2. In hypertensive patients with IDDM, captopril and nifedipine retard have a similar effect in reducing blood pressure and albumin excretion after eight weeks treatment. Captopril, however, retains an acute effect on renal haemodynamics, resulting in a decreased filtration fraction, and this may be of specific importance in the management of patients with diabetic nephropathy. 3. In newly-presenting patients with NIDDM, 26% had abnormal urinary albumin excretion, this correlating with age, glycaemic control, systolic blood pressure and generalised vascular disease. Over the year following diagnosis, 16% of patients had persistent
Expert System to Detect Suspicious Words in Online Messages for Intelligence Agency Using FP-growth Algorithm

: As increase in technology where users are surrounded by social networks sites, it is very effortful job to track the suspicious words which are communicating between user that might lead to cybercrime and other terrorist activity. These Instant Message(IM) are difficult to intercept even by Intelligence Agency, as there are Millions of Messages sent over network. The proposed system predict the suspicious words used in SNS and delivers the detailed report of type of action happening. Ontology based Information extraction (OBIE) to retrieve specific domain and ARM (Association Rule Mining) and FP-growth Algorithm we can list out the frequently used suspicious word.
THE IMPACT OF INFLATION ON STOCK MARKET LIQUIDITY A CASE OF NAIROBI SECURITIES EXCHANGE, KENYA

The relationship between inflation and stock market performance has intrigued researchers who have attempted to explain how a nominal variable such as inflation should determine a real variable . Recent research findings have established the existence of a negative relationship between stock market performance and inflation. These findings contradict the hypothesis by Fisher (1930) who argued that stock returns should be positively related with expected inflation, providing a hedge against rising prices. This study investigated the relationship between inflation and liquidity of the Nairobi Securities Exchange. Liquidity of the stock market is vital if the market is to play a significant role in the development by facilitating mobilization of long-term capital. It shows the immense potential that the Nairobi Securities Exchange may have towards fostering the country’s economy . The study’s objective is to determine the impact of inflation on the liquidity of Nairobi Securities Exchange thus assess the validity of the Fisherian hypothesis using turnover rates at the Nairobi Securities Exchange to draw policy conclusions and recommendations based on empirical findings, Which shed light on the price discovery process at the Nairobi Securities Exchange indicating that investors fail to factor in the effect of inflation on stocks at the securities exchange.
ANTIMICROBIAL SUSCEPTIBILITIES OF PNEUMOCOCCAL BACTERIA ISOLATED FROM ADULTS PATIENTS IN A CERTAIN HOSPITAL IN INDONESIA

ANTIMICROBIAL SUSCEPTIBILITIES OF PNEUMOCOCCAL BACTERIA ISOLATED FROM ADULTS PATIENTS IN A CERTAIN HOSPITAL IN INDONESIA Risrina Nur Ekawati1,3. , Tina Rostinawati2 and *Anas Subarnas1 1Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Sumedang 45363, Indonesia 2Department of Pharmaceutical Biology, Faculty of Pharmacy, Universitas Padjadjaran, Jatinangor, Sumedang 45363, Indonesia 3Department of Health of Garut regency, West Java, Indonesia
A STUDY ON THE NUTRITIONAL STATUS OF PRESCHOOL CHILDREN IN ANJAR TALUKA OF KUTCH DISTRICT, GUJARAT

Malnutrition is the prominent nutritional problem in the developing countries like India. The most vulnerable groups are children under five years, adolescent girls and pregnant and lactating mothers. Malnutrition continues to be a cause and consequence of disease and disability in the children who survive. The community based cross sectional study conducted on 200 preschool children to investigate the nutritional status of children aged between 3-5 years of rural areas of Anjar Taluka of Kachchh district, Gujarat. The study was conducted on 200 children among which 76 were male & 124 were female. Analyzing anthropometric data found revealed that the mean height, weight and MUAC of males were 88.56 cm, 12.70 kg and 14.44 cm respectively while 92.11 cm, 12.42 kg and 14.51 cm respectively in case of female. Among the children 57% were under weight, 60% were stunted and 24.5% were found wasted. According to MUAC 35% children were normal and 12.5% children were severely malnourished in Anjar Taluka of Kutch district, Gujarat. Such malnutrition results in increased susceptibility to infections, reduced work productivity, limited school performance, and slowed cognitive development and growth over the lifetime. This nutrition survey may establish baseline nutritional data and/or ascertain the overall nutritional status of a population. The factors influencing that nutritional status of preschool children are age, sex, weight, height, anemic status, vaccination, educational qualification of parents, family income, family size, living status etc. Thus some concrete steps must be taken to secure the future of India.
Enabling Secure and Effective Spatial Query Processing on the Cloud using Forward Spatial Transformation

:- Data outsourcing is a common cloud computing model that allows data owners to takings advantage of its on-demand storage and computational resources. The main challenge is maintaining data confidentiality regarding intruders. Presented methodologies either conciliation the undisclosed of the data or undergo from high communication cost between the server and the user. To overcome this problem, we suggest a dual transformation and encryption scheme for spatial data, where encrypted queries are executed entirely by the service provider on the encrypted database, and encrypted results are returned to the user.The user issues encrypted spatial range queries to the service provider and then use the encryption key to decrypt the query response returned which establishments a balance between the security of data and efficient query response as the queries be processed on encrypted data at the cloud server finally our proposed method moderates the unique query communication cost between the authorized user and service provider.
IMPORTANCE OF POWER ELECTRONICS IN RENEWABLE ENERGY SYSTEMS

The rapid increase in global energy consumption and the impact of greenhouse gas emissions has accelerated the transition towards greener energy sources. The need for distributed generation (DG) employing renewable energy sources such as wind, solar and fuel cells has gained significant momentum. Advanced power electronic systems, affordable high performance devices, and smart energy management principles are deemed to be an integral part of renewable, green and efficient energy systems. This paper briefly describes the attributes of DG. An overview of wind, fuel cell, solar based energy conversion systems has been presented. A qualitative description of the role of power electronics in wind, solar, and photovoltaic systems has been presented.
Recognition of Emotions from Human Activity Using STIP Feature

: Recently, increasing attention has been paid to the detection of spatio-temporal interest points (STIPs), which has become a key technique and research focus in the field of computer vision. The Local image features or interest points provide compact and abstract representations of patterns in frames. In this paper, an emotion recognition approach based on body movements is proposed. The videos are converted into frames and the frames are preprocessed using median filter. The Harris method is used for corner detection in human present in the frame. Then the STIP features are extracted for the human present in the frames. Similarly the trained and test data are extracted using this STIP feature. The extracted features are fed to the KNN and Support Vector Machine (SVM) classifiers to classify the emotion of the human. The performance measure can be calculated using F-Score. The Emotion dataset are used for this experiment.
Clinical Documents Clustering using Multi-View Nonnegative Matrix Factorization

ARTICLE INFO Extracting medical knowledge from electronic medical records requires automated approaches to combat scalability limitations and selection biases. However, existing machine learning approaches are often regarded by clinicians as black-boxes. Moreover, training data for these automated approaches at often sparsely annotated at best. We target unsupervised learning for modeling clinical narrative text, aiming at improving both accuracy and interpretability.
A Broad Coverage of Corpus for Understanding Translation Divergences

: The objective of natural language understanding is to exploit the rich resources like text corpora for semantic categorization of texts. In natural language understanding corpus based statistical approaches are being used for language modeling and translation modeling. In this paper we applied the sentence pre-processing using factored base translation models on Europarl dataset and results show that pre-processing reduces the number of out of the vocabulary words accurately. This paper also defines methodology for preprocessing the parallel dataset using factored based model from Europarl dataset which can be used in machine translation ahead.
Parallel computing on cloud for massively intensive applications using mapreduce

— Recent advancements in data intensive computing for science discovery are fueling a dramatic growth in use of data-intensive iterative computations. Performance is an open issue in data intensive applications. To process large-scale datasets with high performance more resources and reliable infrastructures are required for spreading the data and running the applications across multiple machines in parallel Cloud computing basic platform can propose different requirements for storage and Computation in face of different users during its operation. Cloud computing has become the cost-effective solution for the increased demand for computing resources and services ,distributed data, by removing the the cost of building , operating and maintaining expensive physical resources and infrastructures . MapReduce is a programming model for parallel data processing widely used in Cloud computing environment. This paper discusses about MapReduce which is a cloud computing support to execute massively intensive applications parallel.
Response of Wheat to Foliar Spray with Urea and Micronutrients

Wheat (Triticm aestivum L.) plants were cultivated during two successive seasons (2007/2008 and 2008/2009). The experiments were conducting at Qualubia Governorate, Egypt. The purpose of this study was to investigate the influence of foliar spraying with urea (1%) and different treatment of micronutrients (Fe, Zn ,Mn ) on growth and chemical constituents of wheat yield . Results showed that additional nitrogen foliar spray (1% urea) gave significant increase in 1000-grain weight, nitrogen concentration and uptake in both grain and straw and protein yield as compared with the control. Results also revealed that spraying wheat plant with (1% urea) showed marked increment in micronutrients concentration and uptake. Concerning the effect of spraying micronutrients foliar spray and the interaction, results showed positive marked effects on all the aforementioned parameters in addition to the significant increment of grain and straw yields. [Journal of American Science 2010;6(9):14-22]. (ISSN: 1545-1003).
A Statical Color Image Segmentation Using a Diagonal Of The Modiﬁed Riesz Mixture Model

This paper describes a new approach to adapted estimation of parametric mixture model based on diagonal of the modiﬁed Riesz distribution (DMRD) deﬁned in R r , r ≥ 2 . The DMRD can model accurately a withe variety of color image. This parameters index a family of distribution witch include the bivariate Gamma and the convolution product between bivariate Gamma and univariate Gamma. In our work, we have applied the bivariate Gamma distribution to mixture model. We use the Expectation Maximization (EM) algorithm to estimate the model parameters of the color image data and the number of mixture components is estimated by using K -means clustering algorithm. The K -means clustering algorithm is also utilized for developing the initial estimates of the EM-algorithm. This study investigates the DMRD in unsupervised color image segmentation. Experiments with real color images are described which verify the validity of method and its implementation.
Adoption of Integrated Healthcare Information System in Nairobi County: Kenyatta National Hospital versus Mater Hospital

Health care information systems are aimed at facilitating the smooth running and interoperability of the health care delivery processes to ensure efficiency and effectiveness; however, the complexity, heterogeneity and diversity of the health care sector especially in Kenya poses serious challenges especially in relation to integration of the systems. There is a large disconnect between the public and private health care delivery systems characterized by fragmentation of services, locally within hospitals (among primary, secondary and tertiary health care settings) and across different health care centers. This research is aimed at examining the adoption of integrated healthcare information system in Nairobi County; Kenyatta National Hospital represents the public sector and The Mater Hospital the private sector. A sample size of 100 users on information system from the two hospitals picked from the primary secondary and tertiary levels were selected and questionnaires administered to them. Data was analyzed through descriptive statistics with the aid of SPSS. The results of the study indicated that there was a huge disparity between healthcare information system adoption in the public and private sectors with the private sector’s adoption being at an advanced stage. The major barriers to adoption including social political barriers, financial constraints and technical/technological barriers also presented.
Fake Fingerprint Detection Methods

:- Security is a very important aspect in the biometric system. There are number attacks and there remedial solutions discussed in the literature on different modules of biometrics system and communication links among them. But still the researchers are not able to secure every module of a biometric system against these attacks. Recently, research has shown that it is possible to spoof a variety of fingerprint scanners using some simple techniques with molds made from plastic, clay, Play-Doh, silicone or gelatin materials. To protect against spoofing, methods of liveness detection measure physiological signs of life from fingerprints ensuring only live fingers are captured for enrollment or authentication. This paper is devoted to various optical methods,which are supposed to be used for liveness detection on fingers.
Improvement Growth, and Yield of Wheat Plants Grown Under Salinity Stress by Using Silicon

The present study aims to improvement of wheat production under saline conditions using silicon (Si) treatment. Salinity caused significant reduction in the growth parameters, photosynthetic pigments and yield components of wheat plants. The magnitude of reduction increased by increasing salinity level. Significant increases were observed in activities of superoxide dismutase (SOD), peroxidase (POX), catalase (CAT) and glutathione reductase (GR) in shoots of salt stressed plants. Silicon treatment in absence and presence of NaCl had great changes on most of the assayed parameters. The adverse effects of salinity as regards the growth characters, photosynthetic pigments and yield components were significantly mitigated by Si supplement. Application of Si caused great variations in the activities of antioxidant enzymes. Under normal (Non-saline) condition, addition of Si, especially at 1 mM , markedly increased the activity of both SOD and CAT, however activity of both POX and GR was significantly decreased. Addition of Si markedly reduced the increases in the activities of SOD, POX, CAT and GR were observed in salt stressed plants. Great variations were also observed as regards the contents of endogenous phytohormones in response to Si, NaCl and their interactions. Generally, it could be concluded that Si have (to more extent) a beneficial regulatory role in plants grown under salt stress conditions. [Abd El-Monem M. Sharaf. Improvement Growth, and Yield of Wheat Plants Grown Under Salinity Stress by Using Silicon. Journal of American Science 2010;6(11):559-566]. (ISSN: 1545-1003).