Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Efficient Clustering Approach for Data Aggregation and Fusion in Wireless Sensor Networks

: Wireless Sensor Network (WSN) is a network which formed with a huge number of sensor nodes which are deployed in an application environment to monitor the physical entities in a target area. Clustering is a widely used mechanism in wireless sensor networks to reduce the energy consumption by sensor nodes in data transmission. Partitioning the network into optimal number of clusters and selecting an optimal set of nodes as cluster heads is an NP-Hard problem. The NP-Hard nature of clustering problem makes it a suitable candidate for the application of evolutionary algorithms and particle swarm optimization (PSO). In this paper we first present particle swarm optimization based clustering (PSOBC) with discrete search space and then propose an energy efficient hybrid clustering protocol (EEHCP) for multilevel heterogeneous wireless sensor networks. The performance metrics of proposed methods evaluated and results are compared with well known clustering algorithms to validate the reduction in energy consumption, stability period and prolongs network life time.
A REVIEW ON ULTRA LOW VOLTAGE LOW NOISE AMPLIFIER USING ACTIVE INDUCTOR FOR ULTRA WIDEBAND APPLICATION

— during this paper we tend to discuss a unique design of CMOS low noise electronic equipment (LNA) for the applying of low voltage RF circuit employed in radical wide band application. we tend to addressing a replacement methodology to optimize the circuit parameter like power potency, noise figure (NF) and improved methodology of input and output matching. Comparison among the LNA square measure drained terms of gain, noise figure, linearity, stability and style strategy of electrical device. This paper offers the thought to the longer term analysis to style higher LNA in terms of low power consumption, stability and higher vary of frequency of operation. Keywords—CMOS, IC (Integrated circuit), LNA (low noise amplifier) low power, linearity, low voltage, RF (radio frequency), stability, UWB (ultra wide band).
EXAMINING PRICE PERCEPTION AND THE RELATIONSHIPS AMONG ITS DIMENSIONS VIA STRUCTURAL EQUATION MODELING: A RESEARCH ON TURKISH CONSUMERS

Price is one of the most important marketplace cues that consumers use in their decision making. It is widely known that consumers react differently to price. Many researchers have noted that price has a complex structure. According to Lichtenstein et al (1993), there are multidimensional aspects of price cues and suggested several dimensions. The purpose of this study is to examine price perception and the relationships among its dimensions. In order to achieve this aim, a field research was conducted on sports shoe consumers in Turkey. 638 consumers voluntarily participated the survey. According to the findings, some of the relationships among the dimensions of price perception were significant. Besides, it was revealed that the most exploratory dimensions of price perception were value consciousness and price consciousness.
FEATURE SELECTION BOOSTER ALGORITHM FOR HIGH DIMENSIONAL DATA CLASSIFICATION

Classification problem is always a great challenge especially in a high dimensional data, though there are many classification problems and a feature selection (FS) algorithm has been developed in the past two decades. Feature selection algorithm results in high prediction accuracy for classification but the result is not stable when training set differs, eminently in high dimensional data. This paper proposes a new boosting based feature selection algorithm so that prediction accuracy is maintained with its stability of the selected feature subset. This is done by evaluating new Q-statistic evaluation measure. Booster in the Feature selection algorithm boosts the value of Q. Here different micro array real data sets is used to show that booster not only boost the prediction accuracy but also boost the Q –statistic. Micro array data is a collection of gene expression data. Since dealing with high dimensional data is very difficult for classification Feature Selection with boosting technique is applied for improving accuracy
Novel Approach For Minimal Injected Harmonics At Distribution Level – Svc

Electrical distribution system suffers from various problems like reactive power burden, unbalanced loading, voltage regulation and harmonic distortion. Though DSTATCOMS are ideal solutions for such systems, they are not popular because of the cost and complexity of control involved. Phase wise balanced reactive power compensations are required for fast changing loads needing dynamic power factor correcting devices leading to terminal voltage stabilization. Static Var Compensators (SVCs) remain ideal choice for such loads in practice due to low cost and simple control strategy. These SVCs, while correcting power factor, inject harmonics into the lines causing serious concerns about quality of the distribution line supplies at PCC. This paper proposes to minimize the harmonics injected into the distribution systems by the operation of TSC-TCR type SVC used in conjunction with fast changing loads at LV distribution level. Fuzzy logic system and ANN are going to be used solve this nonlinear problem, giving optimum triggering delay angles used to trigger switches in TCR. The scheme with Artificial Neural Network (ANN) is attractive and can be used at distribution level where load harmonics are within limits. Verification of the system and by using matlab/simulink with proper modeling.
BioChemistry: An Indian Journal

Obesity and diabetes are the major public health problems in developed as well as developing countries are associated with significant, potentially life-threatening co-morbidities [1,2]. The relation of obesity with Type-2 Diabetes Mellitus (DM) has been understood for decade and the major basis for this relation is the ability of obesity is linked with insulin resistance [3]. Nationwide, the prevalence of type 2 DM is more than 9% in India [3]. More than 60 million of Indians are suffering from Pre-Diabetes and >75 million from type2 DM in 2011 and the figure is ever growing with an approximate estimate of 100 million in 2030 [4]. Diabetes mellitus (DM) and obesity have a complex relationship [5] and in recent scenario worldwide significant numbers of obese individuals are suffering from diabetes [6]. Obesity is not only an established risk factor for type 2 DM but also root of several chronic diseases like progressing to hypertension, development of proteinuria, nephritis, Abstract Background: Obesity and diabetes are the major public health problems in developed as well as developing countries are associated with significant, potentially life-threatening co-morbidities. Insulin and leptin share a common central signaling pathway and there might be a possible role of leptin in the etiology of type 2 DM due to obesity. Moreover few studies have examined the apparent association between serum leptin and type 2 diabetes and those findings are not consonant, so it is useful to reevaluate leptin role in pathogenesis of obesity and type 2 diabetes mellitus. Materials and Methods: An observational case control study was conducted on OPD patients of SRMS Institute of Medical Science, Bareilly. 40 diagnosed type 2 diabetic obese patients and 25 non diabetic obese subjects were selected and all the biochemical parameters (plasma glucose, leptin and lipid profile) were compared with 25 healthy controls. Statistical analysis was done using SPSS 20.0 version. Results: We found that serum leptin levels were significantly increased in obese subjects as well as in diabetic patients (p<0.0001) when compared to control group. Significant positive correlation was observed between leptin and BMI both in obese and diabetic obese group. But serum leptin level was not significantly different ('p'=0.44) in obese group with DM in comparison to obese group without type2 DM Conclusion: From our observation, it can be concluded that the increase in serum leptin level is associated with obesity but not responsible for the development of diabetes type 2 due to obesity, though more elaborate study with increased sample size may provide more insights.
Age related efficacy of ethanolic extract of aloe vera gel in alloxan induced young, adult and old male mice

Copyright: © Author, This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial No Derives License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Diabetes mellitus is one of the most common serious metabolic disorder that is considered to be one of the five leading causes of death in the world. Diabetes is characterized by absolute or relative deficiencies in insulin secretion which associate with chronic hyperglycemia. Traditional plant medicine might offer a natural key to diabetic complications. Aloe vera is an herb which is distributed throughout the world. The herb is used internally to fight against most digestive problems including poor appetite, colitis, irritable bowel syndrome, constipation, and peptic ulcers.
Modeling and Characterization of Tunable Piezoelectric Actuator

The hub of this paper to study the effect resonance frequency of piezoelectric MEMS. The modeling and characterization of piezoelectric resonator using COMSOL Multiphysics. An investigative relation was developed based on the shift in resonance frequency caused by the addition of a different material on the PZT. The theoretical analysis is done with a user-friendly SPICE Circuit Editor interface constructed for easy introduction of design dimensions , material parameter values and force signal stimuli. A piezoelectic device can actutate a cantniliver beam simply by applying an AC voltage over the device.The cantilever beam itself has resonant modes that causes peaks in vibrations when the frequency of applied voltage passes the resonance frequency of each mode . If another piezoelectric device is attached to the cantilever, it is possible to tune the resonance by connecting that device to a passive external circuit.In this model, different materials are used for designing o tunable actuator. We have observed the graph between displacement and frequency of various materials. And the best material found from analysis is Lead Zirconate Titanate. This model investigates how the external circuit influence the resonance peaks of cantilever beam and also improve the quality. Keyword— MEMS, Piezoelectric effect, Lead Zirconate Titanate(PZT-5A),Resonance,COMSOL,Tunable,deformation
Disección aórtica aguda como causa de dolor torácico intenso

La diseccion aortica es una afeccion poco frecuente pero de elevada mortalidad. Ocurre cuando se produce un desgarro de la capa intima arterial como consecuencia de cifras de tension arterial elevadas mantenidas. Es una emergencia hipertensiva con afeccion cardiovascular. La terapeutica basica de eleccion es el tratamiento inmediato de la hipertension arterial y la reparacion quirurgica del dano vascular. Se presenta un paciente masculino de 48 anos, hipertenso sin adherencia terapeutica, que fue remitido de su area de salud por dolor toracico intenso y cifras de tension arterial elevadas, se realizo el diagnostico de diseccion aortica aguda; se impuso tratamiento antihipertensivo energico y analgesia con opiaceos. Su evolucion ulterior fue favorable. Hacemos enfasis en el diagnostico de esta afeccion y su diagnostico diferencial ante todo paciente que se presenta con dolor toracico e hipertension arterial. Abstract The aortic dissection is not a very frequent affection but of high mortality. It happens when a spontaneous intimae tear develops and blood dissects into the media of the aorta as a consequence of maintained high blood pressure. It is a hypertensive emer-gency with cardiovascular damage. The basic therapy of election is the immediate treatment of the arterial hypertension and the surgical repair of the vascular damage. A 48 year-old hypertensive male patient without therapeutic adherence is presented. He was referred for intense thoracic pain and high blood pressure, the diagnosis of acute aortic dissection was carried out; an immediate antihypertensive treatment and analgesia with opiate was imposed. The ulterior evolution was favorable. We do emphasis about the diagnosis of this affection and its differential diagnosis in all patients with thoracic pain and high blood pressure.
Adaptive Control Scheme for PV Based Induction Machine

An adaptive control scheme for maximum power point tracking of a single-phase grid-connected photovoltaic system is presented. The difficulty on design a controller that may operate a photovoltaic system on its maximum power point (MPP) is that, this MPP depends on temperature and solar irradiance, ambient conditions that are time-varying and difficult to measure. A solution using an on-line sliding mode estimator is presented. It estimates three different parameters that depend on solar irradiance and temperature, eliminating the necessity of having any sensor for these environmental variables. It is capable of estimate time-varying parameters. A complete analysis was done taking into account the non-linearity’s showed by the closed-loop system. An adaptive law was found to substitute a perturbation bound and also to eliminate possible chattering due to the discontinuous controller term. Computer simulations are presented to show the good performance of the controller. The controller detects the deviation of the actual trajectory from the reference trajectory and corresponding changes the switching strategy to restore the tracking. Prominent characteristics such as invariance, robustness, order reduction, and control chattering are discussed in detail. Methods for coping with chattering are presented. Both linear and nonlinear systems are considered The proposed concept can be implemented to adaptive control scheme for induction machine using Matlab/Simulink software.
An Enhanced Technique for Automatically Detect the Shared Fragments

- with the advances in web technologies, more and more information on the Web is contained in dynamically generated web pages. Dynamic Web applications are characterized by capabilities for personalization and frequently updating of contents. One of the most recent caching mechanisms that are employed to enhance the performance of Dynamic Web applications is fragment based caching mechanism. In order to serve a website with this mechanism, an efficient method is needed for fragmenting the web pages rather than manual fragmentation which is expensive, error prone, and un-scalable. This paper introduces an automatic fragments detection technique that is capable of identifying fragments, which are shared among multiple pages and are cost-effective cache units. This technique is suitable for work in large collections of web pages and is more accurate in detecting the maximal shared fragments.
Survey on Feature Selection in High-dimensional data via Constraint, Relevance and Redundancy

Machine learning provides tools by which large qualities of data can be automatically analyzed. Fundamental to machine learning is feature selection. Feature selection by identifying the most salient features of learning, focuses a learning algorithm on those aspects of the data most useful for analysis for feature prediction. Feature selection as a preprocessing step to machine learning, has been effectively in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving comprehensibility. Most feature selection methods focus on finding relevant features for optimizing high-dimensional data. Dimensionality reduction is a significant task dealing with high dimensional data. Semi supervised clustering aims to improve the clustering performance by considering the pair-wise constraints. Semi supervised feature selection method is most efficient for finding the relevant features, eliminating the redundant features.
A Novel Defected Ground Structure Microstrip Patch Antenna for STM-1 and Cellular Mobile applications

Microstrip antennas have numerous advantages such as small size, low fabrication cost, light weight and can be easily installed in the systems and it f inds its applications in various systems like aircr aft, satellite and spacecraft. But it has drawback of narrow bandw idth. To overcome this drawback, Microstrip Antenna s with Defected Ground structure can be used. In this paper, a microstrip patch antenna with Defected Gr ound Structure (DGS) and its effect has been discussed. The dual band is achieved in this design and the an t nna operates at 4.9 and 7.6GHz. The defected ground str ucture (DGS) reduces the antenna size and mutual co pling between two antennas. Moreover, it reduces the harm onics of the antenna. The design is simulated on CS T Microwave Studio 2010 Software. Finally, the result obtained from the simulation are demonstrated.
International Journal of Intellectual Advancements and Research in Engineering Computations Improving word similarity by using ppmic with estimates of word polysemy

- Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between them is based on the likeness of their meaning or semantic content which can be estimated regarding their syntactical representation. Its applications are Biomedical informatics, GeoInformatics, Computational linguistics, Natural language processing. There are two approaches to compute word similarity, on either using of thesaurus (e.g., Word Net) or statistic from large corpus.PMI means point wise mutual information. It is used to measure semantic similarity. In the existing system PMI and PMImax is used to measure semantic similarity. PMImax is used to find out the maximum correlation between the words. PMImax only find siblings concept but it fails to find out cousin concept. So proposed system uses PPMIC to find and improve word similarity.
Denoising of an Image using the New Contourlet Transform

: The Contourlet Ttransform has an efficient filter bank construction and low redundancy which makes it an impressive computational tool for different applications in image processing. It provides a directional multiresolution image representation, which is capable of capturing and representing singularities along smooth object boundaries in natural images. But a major disadvantage of the original Contourlet Transform is that, its basis images are not localized in the frequency domain. Here, a new Contourlet Transform is proposed as a solution. In this multiscale pyramid (which is defined in the frequency domain) is used against Laplacian pyramid, which is used in Counterlet Transform. It is observed that the resulting basis images are sharply localized in the frequency domain and exhibit smoothness along their main ridges in the spatial domain. Using Image Denoising, it can be shown that the proposed New Contourlet Transform can significantly outperform the original Transform both in terms of PSNR (by several dB’s) and in visual quality.
The Use of Mobile Transactions in Developing Country: The User’s Perspective

The remarkable advances of mobile technologies and the prevalence of mobile devices have profoundly transformed telephony systems. They provide functionalities which surpass telephony needs, and which motivate the development of value-added mobile services and functions. The literature highlights the fact that mobile transactions (m-transactions) are one of the most critical incentives for successful mobile commerce (m-commerce). However, the successfulness of m-transaction systems in Saudi Arabia requires a strong acceptance of consumers. The importance of this study is accentuated by the fact that mobile commerce and its services are still in their infancy and there is still an apparent lack of acceptance of mobile transactions amongst Saudi users. This study will investigate the acceptance of using m-transaction by applying Technology Acceptance Model (TAM) which one of the well-established models in addressing technology acceptance by surveying more than 1000 Saudi users.
Relationship between assertiveness and social anxiety with happiness 1

Article history: Received 12 October 2014 Received in revised form 21 October 2014 Accepted 1 November 2014 Abstract The purpose of this study is to investigate the relationship between assertiveness and social anxiety with happiness in the second class of high school girls of Bojnourd. The main research method is descriptive and correlational type. The population consists of girls students of high school of Bojnourd (4540 persons) that 400 persons of them selected by multistage random sampling and based on Morgan`s table. The Assertiveness Inventory (Gambrills & Richey, 1975), Oxford Happiness Questionnaire (Hills & Argyle, 2002) and Social Phobia Inventory (Connor et al, 2000) were used in order to gathering of data. Pearson correlation, multiple regressions with stepwise method and variance analysis of univariate was used to test the hypothesis. Results showed that assertiveness and social anxiety is relate with happiness and predicts it. Found that there is a significant positive relationship between assertiveness and happiness at the level of less than 0.01. In addition, there is a negative and meaningful relationship between social anxiety and its dimensions with happiness at the level of less than 0.01. There is a significant negative and meaningful relationship between assertiveness and dimensions and total score of social anxiety at the level of less than 0.01. In addition, there is a significant difference between Assertiveness and happiness of students of different academic disciplines. The absence of negative emotions such as anxiety, embarrassment and low zinc, depression, anger, positive emotions and mood, activity, and more extensive social relations were related to the happiness.
Effect of Non-Meat Ingredients as an Aid to Shelf-Life

Throughout history, the meat industry has utilized nonmeat ingredients to extend or aid in the shelf-life of products. The classic use of salt and/or nitrites to control and limit microbiological growth and to provide flavor stability during storage has provided needed “insurance” for meat product shelf-life. Currently, consumers’ concern for food safety continues to make methods of extending meat product shelf-life a high priority throughout the meat industry. As a result, the examination of new ingredients to aid in extending meat product shelf-life is an on-going, evolving area of research. The objective of this paper is to present new information on non-meat ingredients that are being examined to extend shelf-life in meat products.
Antibiotic Properties of Leaf Extracts of Sennaalexandrina ( L )

The antibiotic properties of Sennaalexandarina (L.) leaves extracts were studied against five bacteria, two molds and yeast by using the disc diffusion method. Acetone extracts (12mm zone diameter of inhibition, MIC 200 μg/mL and MBC 300 μg/mL) demonstrated the highest activity followed by dichloromethane (8 mm zone diameter of inhibition, MIC 300 μg/mL and MBC 400 μg/mL), methane (7 mm zone diameter of inhibition, MIC 400 μg/mL and MBC 400 μg/mL) and hexane (6 mmzone diameter of inhibition, MIC 800 μg/mL and MBC 1000 μg/mL). Water extracts demonstrated the least activity against the test bacteria and fungi (4 mm zone diameter of inhibition, MIC 800 μg/mL and MBC 800 μg/mL). Phytotoconstituents presentation included Saponins, Tannins, Alkaloids and Flavonoids. S. obtusifolia(L) can be used to source antibiotic substances. [T. H. El-Morsy. Antibiotic Properties of Leaf Extracts of Sennaalexandrina (L). J Am Sci2013;9(1):288-292]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 43