Miracle-dz/UniFAR-FTUs huggingface dataset:
Coupling Evaluator to Enhance the Software Architecture Reliability and Efficiency using Object Oriented Metrics

— An Object-oriented design metrics is essential for measuring the software complexity, size estimation, quality and project efforts while building Software architecture and Software application development. The main focus is on the structure of the system and how the individual packages and classes are related. Coupling plays an important role for identify the relationship between the classes and attributes in the software architecture. The main aim of this paper is to measure the efficiency of software architecture using metrics and also to outline the key ways to maintain software reliability and reusability using Object-Oriented concepts. A special coupling Evaluator is developed to measure those parameters. This research work measures the parameters such as fields, methods, classes, constructors and packages to measure the efficiency of the software and relate the Object-oriented metrics in Software Architecture to improve the reusability and reliability.
Comparative Analysis of k-means and Enhanced K-means clustering algorithm for data mining

-K-Means Clustering is an immensely popular clustering algorithm for data mining which partitions data into different clusters on the basis of similarity between the data points and aims at maximizing the intra-class similarity and minimizing the inter-class similarity. This Algorithm suffers from the limitation of being time consuming and producing different results with different centroids chosen randomly. The first limitation is solved using the Enhanced K-Means algorithm. This paper shows the comparison of Basic K-Means and Enhanced K-Means algorithm which shows that Enhanced K-Means is more efficient than Basic K-Means Algorithm .
A Framework for Strategy Development in Small Companies The Case Study of a Telecommunication firm

- This study intends to offer an appropriate strategy development framework for a telecommunication firm (as the case of study) which works on Information and Communication Technology (ICT) projects, development of telecommunication networks, and maintenance of local networks, according to its dominant condition. In this approach, first the objectives were set and the mission was defined. Then, the capability was assessed by SWOT matrix. Using SPACE matrix, the strategy of the company was determined. The strategic direction is set and an appropriate and superior strategy was developed and offered employing QSPM matrix. The theoretical framework or conceptual model of the present study first involves 4 stages of framework development and then from stage 3 (assessing capability) onward of strategic management model of Fred R. David. In this respect, the tools and methods offered in the framework are appropriate for all kinds of organizations, particularly small firms, and help strategists identify, evaluate, and select strategies.
Detecting Disconnection in Wireless Sensor Network

− In a Wireless Sensor Network, sensor nodes may fail for several reasons and the network may split into two or more disconnected partitions. This may deteriorate or even nullify the usefulness and effectiveness of the network. The disruption of connectivity, often referred to as network cut, leads to ill-informed routing decisions, data loss, and waste of energy. A number of protocols have been proposed to efficiently detect network cuts; they focus solely on a cut that disconnects nodes from the base station. However, a cut detection scheme is truly useful when a cut is defined with respect to multiple destinations (i.e., target nodes), rather than a single base station. Thus, we extend the existing notion of cut detection, and propose an algorithm that enables sensor nodes to autonomously monitor the connectivity to multiple target nodes. We introduce a novel reactive cut detection solution, the Point-to-Point Cut Detection, where given any pair of source and destination, a source is able to locally determine whether the destination is reachable or not. Furthermore, we propose a lightweight proactive cut detection algorithm specifically designed for a small set of target destinations. The convergence rate of the underlying iterative scheme is independent of the size and structure of the network.
Antitumor Potential Of Ethanolic Extract Of Solanum trilobatum Against Ehrlich’s Ascites Carcinoma

The present investigation aims to evaluate the anti-tumor potential of the ethanolic extract of Solanum trilobatum on Ehrlich’s Ascites Carcinoma (EAC). Ethanolic extract of Solanum trilobatum was subjected to preliminary phytochemical screening and the antitumor effect was assessed by employing in-vitro methods. The maximum percentage of dead cells in short term invitro cytotoxicity assay was found to be 96%. Compounds present in the ethanol extract of the plant were identified using GC-MS and these compounds were subjected to docking using in-silico strategies. The results were found to be significant and confirmed that the Solanum trilobatum has significant antitumor activity.
Links Between Personality Traits and Drinking Behaviour

Evaluation of the connections between personality variables as predictors towards the drinking behavior in adults. Exploration of associations between the Big Five Factor model of personality traits – extraversion, neuroticism and conscientiousness and the model stating predisposed susceptibilities to alcohol use and misuse. Based on the different personality aspects observed in individuals, strong links were displayed with drinking motives in adults. Drinking motives, positive or negative, and the subsequent existing alcohol use and exploitation, seen in young adults, was further assessed
A Morphometric Study of Dry Human Typical Thoracic Vertebral Body in Telangana Region.

Background: Previous studies in the past about morphometry of thoracic vertebrae mainly focused on pedicle diameters and their angulations. The vertebral body were not studied particularly in Telangana Region that is the reason the present study has given importance to the morphometry of vertebral body. Objective: To measure the various parameters of vertebral body in typical thoracic vertebrae by using vernier caliper. Material and methods: Hundred dry human typical thoracic vertebrae of undetermined gender and age were selected for the study. The various parameters of vertebral body were measured. Results: The anteroposterior distance of the vertebral body in typical thoracic vertebrae ranged from 15 29 mm with a mean of 21.96mm . The vertebral body superior width ( superior transeverse diameter) ranged from 23-32 mm with a mean of 24.4mm. The vertebral body inferior width (inferior trasverse diameter) ranged from 25 38 mm with a mean of 31.4 mm. The anterior height (mid sagital) of the body ranged from 14 20mm with a mean of 17.71 mm. The Rt & Lt. lateral height of the body ranged from 14 21 mm with a mean of 18.01 mm. Conclusion: The results provide information for more accurate modelling and design of vertebral body implants and instrumentations for Indian population.
Optimizing the Optimizing the Optimizing the Optimizing the NNNNumber of umber of umber of umber of NNNNeighbors in Trust Based eighbors in Trust Based eighbors in Trust Based eighbors in Trust Based Recommender Systems Recommender Systems Recommender Systems Recommender Systems

Users in trust based recommender systems seek recommendations from their directly trusted parties known as neighbors or from neighbors of neighbors and so on. This paper proposes an appropriate range ([min rec … max rec ]) providing minimum and maximum number of recommenders that one should have in his close communication. More neighbors than the maximum number of neighbors (max rec ) suggested by the range does not improve the quality of recommendations but requires more time and computations in accumulation of extra recommendations. Lesser number of neighbors than min rec may compromise the quality of recommendations thus requiring seeking recommendations transitively. This again involves time and computation in propagating the query through chain of neighbors and getting the responses. A method to maintain number of neighbors within this range is also proposed. Experiments were conducted on real datasets to discover the most appropriate number of neighbors that an agent should keep.
Improving Throughput in Cloud Storage System

—Because the cloud serves many workloads concurrently, its disk access pattern is highly random and heterogeneous. In addition, because various virtual machines access to files respectively, meta data utilization and small write requests are increased. In order to build a system for these patters, we should analyze the modern techniques used at cloud system. First, we show that a SATA controller has enough processing capability to serve six disks without performance degradation. Motivated by this experiment, we compare three disk configurations by executing benchmark applications. From the result, we observe that accessing independent disks directly provides better performance than RAID-0 and RAID-5. Lastly, we performed experiment about comparing frequently used protocols (NFS, iSCSI)[8] and got the result that iSCSI[10] showed better performance than NFS[11]
Quantification of Bioactive Compounds of Pink Pepper ( Schinus Terebinthifolius , Raddi )

37 Abstract— Pink pepper (Schinus terebinthifolius, Raddi) is a healthy food due to nutritional and medicinal qualities. Capsaicin is an energetic and analgesic substance which confers the spice taste of pink pepper. The pink pepper is rich in vitamins and promotes reduction of blood clots, acting as vasodilator; stimulates the production of endorphins in the brain, which is a hormone that produces a well-being feeling; has antioxidant, anticancer and anti-inflammatory activities; and reduces appetite, which is beneficial to obesity treatment. This study aimed to analyze the nutritional and physicochemical characteristics of pink pepper. Also, its antioxidant was determined by DPPH (1,1-diphenyl-2-picrilidrazil) assay. Nutritional content of pink pepper presented 27.5 μg/g of carotenoids, 17.3 mg/100g of vitamin C and 12.8 mg / g of capsaicinoids. Pink pepper showed higher antioxidant activity (83.33±2.07%) when compared to other peppers. The content of the phenolic compound vanillic acid (1076.1 mg/100g) was higher compared to other tropical fruits marketed globally. Thus, pink pepper can be used as a functional food due to its bioactive properties, besides to its regular uses in cooking.
A A A A NNNNew ew ew ew MMMMethodethodethodethod CCCCombining ombining ombining ombining NNNNeural eural eural eural NNNNetworksetworksetworksetworks aaaandndndnd Hough Hough Hough Hough TTTTransform (HT) ransform (HT) ransform (HT) ransform (HT) inininin RRRRoboticoboticoboticobotic VVVVisionisioni

Vision is an important sense for the navigation of mobile robots. Indeed this work presents a solution to an interesting and important problem, i.e. visual beacon detection for mobile robots. The proposed approach is based on a combination of a neural network pixel classifier and the Hough Transform to detect shapes in the incoming images. One of the objectives is to enable the robot (CESA) to move in an unspecified environment and acquire the necessary information for its vision. In view of the positive results obtained with a momentum of 0.001 and a coefficient of training equal to 0.015, we can conclude that our system is robust. Also, our algorithm allows a significant reduction of the computation time and can be therefore used in real-time applications. Moreover the proposed architecture can be easily fitted into Field Programmable Gate Array (FPGA) reconfigurable devices, since
REVIEW ON SENTIMENT ANALYSIS OF TWITTER STREAMING DATA FOR RECOMMENDATION USING APACHE SPARK

Twitter is free social networking micro-blogging service. In that micro-blogging allows to registered members to broadcasting the short posts also called tweets. It can broadcast the tweets by using multiple platforms and devices. Twitter member replies to tweets. Existing system focuses on document level sentiment analysis that means they used Hadoop Framework for concerning moving or product reviews. In that system web pages or blocks on which posts are published therefore in that system complexity of document level opinion mining many efforts have been made towards the sentence level sentiment analysis. The existing systems classify the accuracy only one word. This process is time consuming due to documentation. In the system which we are devolve in that we used spark framework instead of Hadoop framework. Due to the use of Spark Framework, garbage or unclean data are removing. So that user gets better efficiency and less time required for processing, than earlier system.
Structural and Surfacе Roughnеss Effects on Sеnsing Propertiеs of ZnO Doping with Al Thin Films Dеposited by Spray Pyrolysis Tеchnique

Introduction Metal oxides (MOs) have picked up an impressive research enthusiasm because of its minimal effort and straightforward handling steps and high potential for the electronic and optoelectronic applications [1-4]. The advance in the field of using MOs for gas detecting application was highlighted by the high detecting capacities of MOs and their physical properties, for example, electrical transport, attractive, optical reaction, warm conductivity and superconductivity [5-9]. The MOs semiconductor materials have been broadly examined in gas detecting applications because of their simplicity of recognition both oxidizing and decreasing gasses. Among different MOs semiconductors, ZnO is an immediate, wide band crevice Abstract In this article, the gаs sensor properties of ZnO doping with (2% and 4% wt.) Al thin films hаve beеn accounted for, where the nanocrystаlline ZnO based thin films wеre all around kept by а straight forward and chemicаl sprаy pyrolysis (CSP) system. Films have been observed to be uniform, pinhole free and wеll disciple to the substrate. The morphology, structures and surface harshness of the stored Al doped ZnO thin films were contemplated by different sorts of portrayal strategies. The creators have watched that the sеnsor reaction and selеctivity towards CO gas is enhanced by the Al doping at a low temperaturе. XRD showеd the acquired films are nanocrystalline in naturе with hexagonal wurtzite phase. The films were utilized for identification of CO noticeable all around and most extreme reaction was seen at 175°C. The change in sеnsor rеsponse of ZnO:Al thin films to CO gаs credited to thе imperfection chemistry, crystallite size and surface roughnеss.
TRACKING OF MOBILE DEVICES IN WIRELESS SENSOR NETWORK USING CLUSTER PROTOCOL

: Energy consumption and security has become a primary concern in a Wireless Sensor Network. In multi-hop communications, nodes that are near a sink tend to become congested as they are responsible for forwarding data from nodes that are farther away. Thus, the closer a sensor node is to a sink, the faster its battery runs out, whereas those farther away may maintain more energy. This leads to non-uniform depletion of energy, which results in network partition due to the formation of energy holes. As a result, the sink becomes disconnected from other nodes, there by impairing the WSN. Hence, balancing the energy consumption of sensor nodes to prevent energy holes is a critical issue in WSNs. Several studies have demonstrated the benefits of using a mobile sink to reduce the energy consumption of nodes and to prevent the formation of energy holes in wireless sensor networks (WSNs). Particularly in delay-sensitive applications, as all sensed data must be collected within a given time constraint. In this paper, LEACH is proposed, which is a novel algorithm for reducing an energy consumption and also increasing the security of the WSN. LEACH is an energy-efficient routing protocol proposed for routing queries to target regions in a sensor field, In LEACH, the sensors are supposed to have localization hardware equipped, for example, a GPS unit or a localization system so that they know their current positions. The sensors are aware of their residual energy as well as the locations and residual energy of each of their neighbours . LEACH uses energy aware heuristics that are based on geographical information to select sensors to route a packet toward its destination region. LEACH uses a recursive geographic forwarding algorithm to disseminate the packet inside the target region. The novelty of LEACH with respect to other aggregator node election protocols is that it supports asynchronous sensor network applications where the sensor readings are fetched by the base stations after some delay. In particular, the motivation for the design of LEACH was to support reliable and persistent data storage applications. LEACH ensures load balancing, and it supports intra-and inter-cluster routing allowing sensor to aggregator, aggregator to aggregator, base station to aggregator, and aggregator to base station communications.
Effects of Perceived Stress at Job among Primary and Secondary School Teachers

Background: Teaching is considered as one of the most stressful occupations in today’s life because the modern world belongs to full of stress. Stress is a feeling of tension which is both emotional and physical. It can occur in specific situations. Occupational stress occurs when workers perceive an imbalance between their capability and resources to meet these demands. Objectives: The aim of the present study is to determine and compare the effect of perceived stress at job among primary and secondary school teachers working in both the private and government schools. Methodology: A population of 742 (420 primary and 322 secondary) teachers from private schools and 663 (347 primary and 316 secondary) teachers from government schools. Data were gathered from 163 (82 primary and 81 secondary) sample respondents from private schools and 156 (each 78 primary and secondary) sample respondents from government schools in Karaikal District of Union Territory of Puducherry, India. Result: The analysis of the data reveals on the basis of type of school, private school teachers have faced more stress than the government school teachers. Further, the result found that there is not a meaningful difference between primary and secondary level teachers working in the both private and government schools. i.e., both the primary and secondary level teachers working in both the private and government schools are affected by the job stress. Conclusion: It was concluded that the benefits in reducing the job stress is to promote a pleasurable work environment for all. Keywords— Job stress; work overload; working condition; job security; promotion; role conflict; role ambiguity; job performance.
Effect of Rewards and Job Design on Employee Performance at the Kenya Bureau of Standards

-The study focused on determining the effect of employee motivation on their performance, using Kenya Bureau of Standards Headquarters, Nairobi as a case study. Motivation is a catalyst of behavior and as such, to cultivate a behavior of success in an organization it is imperative to ensure that employees have the relevant motivating factors in place. The objectives for the study were; to establish the effect of employee reward and recognition and job design on their motivation. The study was supported by the Maslow’s Theory of Motivation and the Herzberg’s Two-Factor Theory. The research design used for the project was descriptive design. The population consisted of all the employees at KEBS Headquarters, Nairobi which comprises of 220 employees. The study adopted the census approach; therefore, all the 220 employees were included. Primary data was collected with the aid of questionnaires and a descriptive analysis carried out to interpret and analyze the variables. Data analysis was carried out using statistical tools such as SPSS and through Descriptive Analysis. Correlation and regression analysis was conducted to establish the effects of the independent variables on the dependent variables. Analyzed data was presented in tables, figures, and charts. From the analysis the co-efficient value for reward was 0.506, which was statistically significant. The co-efficient value for job design was 0.060, which was statistically
EXPERIMENTAL STUDY OF A ALUMINA PACKAGED 5-BIT RF MEMS PHASE SHIFTER IN HIGH TEMPERATURE CONDITIONS

RF MEMS 5-bit Electrostatically actuated phase shifter die is packaged on Alumina substrate carrier. The RF MEMS phase shifter is subjected to high temperature environment from ambient (+25 °C) to +180 °C. The measured S-parameter data are evaluated in the frequency range from 0.1 to 18 GHz and compared at different temperature levels. The normalized maximum and minimum insertion loss variation observed were -5.24 dB to +0.68 dB and -13.63 dB to +13.36 dB, in the frequency range of 0.1 to 10 GHz and 10 to 18 GHz respectively, for temperature up to +180 °C. The comparison results between FR4 and Alumina package of RF MEMS phase shifter are also presented.
Operating Bio-Implantable Devices in Ultra-Low Power Error Correction Circuits : using optimized ACS Viterbi decoder

166 Abstract— Although many different low-power Error Correction Circuits implementations have been articled, to date there has not been any comprehensive study to evaluate the comparative efficiencies of alternative analog and digital implementations. This has led to a significant analysis of the varied analog and digital iterative message passing algorithms. These algorithms operate on decoders. The inefficiency and high cost constraints of decoders have led to significant loss in data transfer rate. Algorithms like Min-Sum algorithm for Analog Belief Prorogation decoders and Viterbi algorithm for Turbo decoders are coded and simulate in this work. The paper aims at reducing power consumption by using a modified Viterbi decoder in a higher end CMOS technology. The power analysis is deduced for comparative studies. This power constraint level of 10mW is further reduced, without altering the requirements for a smooth operation of the device. This is achieved by designing a novel decoder that increases the data rate with lower power consumption. The reduction of power consumption is achieved at the cost of reduced error performance. The most efficient decoder is implemented in bio-implantable devices like cortical implants for ultra-lowpower constraints.
J Gynecol 2016, 1(5): 000126

The time honoured concept that ovarian cancer originates from the ovarian surface epithelium (mesothelium) which then invaginates into the underlying stroma resulting in inclusion cysts that eventually undergo malignant transformation and ovarian cancer spreads from the ovary to the pelvis, abdomen and distant sites has been challenged by the recent studies. Attempts to improve detection of ovarian cancer when it is still confined to ovary and thereby improve survival have miserably failed over the years. The overall survival of women with ovarian cancer is unchanged over the last fifty years. Utilizing the available imaging techniques and the better understanding of ovarian carcinogenesis we will be able to develop newer preventive strategies and screening methods for ovarian cancer. Lot of clinical studies are required to achieve this goal and to reduce the mortality from ovarian cancer.