Miracle-dz/UniFAR-FTUs huggingface dataset:
Association Rule Mining on Distributed Data

Applications requiring large data processing, have two major problems, one a huge storage and its management and second processing time, as the amount of data increases. Distributed databases solve the first problem to a great extent but second problem increases. Since, current era is of networking and communication and people are interested in keeping large data on networks, therefore, researchers are proposing various algorithms to increase the throughput of output data over distributed databases. In my research, I am proposing a new algorithm to process large amount of data at the various servers and collecting the processed data on client machine as much as he/she is requiring. The data is kept in XML format, which allows processing it further, if needed. The local copy of searched data is provided to the users if he/she requires it again, this allows making a proxy server where frequently searched items can be kept with the frequency of their access. This not only allows providing fast access to the data but will also provide to maintain list of frequently accessed data. For accessing the data from the various servers, there are several methods such as mobile agents, direct networked access, client-server techniques Etc. I have used multithreaded environment to map various distributed servers to collect data. For processing of data at the server end, Apriori Algorithm has been applied to get the outputs, which are then sent to the client. At client data from various servers is collected and list of uncommon data is created which is then converted into XML data format. If the search is successful then user is allowed to store the search locally or at proxy server, this will reduce the future processing time of the same data search. In this paper an Optimized Distributed Association Rule mining algorithm for geographically distributed data is used in parallel and distributed environment so that it reduces communication costs. The response time is calculated in this environment using XML data.
Effects of Peptide on NK Cell-Mediated MHC I Recognition

The inhibitory receptors for MHC class I have a central role in controlling natural killer (NK) cell activity. Soon after their discovery, it was found that these receptors have a degree of peptide selectivity. Such peptide selectivity has been demonstrated for all inhibitory killer cell immunoglobulin-like receptor (KIR) tested to date, certain activating KIR, and also members of the C-type lectin-like family of receptors. This selectivity is much broader than the peptide specificity of T cell receptors, with NK cell receptors recognizing peptide motifs, rather than individual peptides. Inhibitory receptors on NK cells can survey the peptide:MHC complexes expressed on the surface of target cells, therefore subsequent transduction of an inhibitory signal depends on the overall peptide content of these MHC class I complexes. Functionally, KIR-expressing NK cells have been shown to be unexpectedly sensitive to changes in the peptide content of MHC class I, as peptide:MHC class I complexes that weakly engage KIR can antagonize the inhibitory signals generated by engagement of stronger KIR-binding peptide:MHC class I complexes. This property provides KIR-expressing NK cells with the potential to recognize changes in the peptide:MHC class I repertoire, which may occur during viral infections and tumorigenesis. By contrast, in the presence of HLA class I leader peptides, virus-derived peptides can induce a synergistic inhibition of CD94:NKG2A-expressing NK cells through recruitment of CD94 in the absence of NKG2A. On the other hand, CD94:NKG2A-positive NK cells can be exquisitely sensitive to changes in the levels of MHC class I. Peptide antagonism and sensitivity to changes in MHC class I levels are properties that distinguish KIR and CD94:NKG2A. The subtle difference in the properties of NK cells expressing these receptors provides a rationale for having complementary inhibitory receptor systems for MHC class I.
A New Approach of Node Clone DetectionProtocols in Wireless Sensor Networks

Nodes in Mobile Ad Hoc Networks (MANETs) are limited battery powered. That’s why energy efficient routing has become an important optimization criterion in MANETs. The conventional routing protocols do not consider energy of the nodes while selecting routes which leads to early exhaustion of nodes and partitioning of the network. This paper attempts to provide an energy aware routing algorithm. The proposed algorithm finds the transmission energy between the nodes relative to the distance and the performance of the algorithm is analyzed between two metrics Total Transmission energy of a route and Maximum Number of Hops. The proposed algorithm shows efficient energy utilization and increased network lifetime with total transmission energy metric.
ON THE PIECEWISE SMOOTHNESS OF ENTROPY SOLUTIONS TO SCALAR CONSERVATION LAWS FOR A LARGER CLASS OF INITIAL DATA

We prove that if the initial data do not belong to a certain subset of Ck, then the solutions of scalar conservation laws are piecewise Ck smooth. In particular, our initial data allow centered compression waves, which was the case not covered by Dafermos (1974) and Schaeffer (1973). More precisely, we are concerned with the structure of the solutions in some neighborhood of the point at which only a Ck+1 shock is generated. It is also shown that there are finitely many shocks for smooth initial data (in the Schwartz space) except for a certain subset of &#x1d4ae;(ℝ) of the first category. It should be pointed out that this subset is smaller than those used in previous works. We point out that Thom's theory of catastrophes, which plays a key role in Schaeffer (1973), cannot be used to analyze the larger class of initial data considered in this paper.
CHANGE POINT ESTIMATION USING NONPARAMETRIC REGRESSION

We consider a regression model in which the mean function may have a discontinuity at an unknown point. We propose an estimate of the location of the discontinuity based on one-side nonparametric regression estimates of the mean function. The change point estimate is shown to converge in probability at rate 0(n-1) and to have the same asymptotic distribution as maximum likelihood estimates considered by other authors under parametric regression models. Confidence regions for the location and size of the change are also discussed.
Social-Emotional Outcomes for Children With SLI

Mok, P. L. H. , Pickles, A. , Durkin, K. , & Conti-Ramsden, G. (2014). Longitudinal trajectories of peer relations in children with specific language impairment. Journal of Child Psychology and Psychiatry, 55, 516–527 Summarized by Carol Westby Specific language impairment (SLI) is not so specific. SLI significantly affects academic attainments and vocational options (Conti-Ramsden, Durkin, Simkin, & Knox, 2009). SLI puts students at risk not only for academic difficulties but also for social-emotional difficulties. Difficulties in expression and/ or comprehension of language make participation in conversation challenging. As a consequence, children with SLI engage less in active interactions than do those with typical language, enter less frequently into positive social interactions, are less sensitive to the initiations offered by others, and manifest situationally inappropriate verbal responses (e.g., Fujiki, Brinton, Isaacson, & Summers, 2001; McCormack, Harrison, McLeod, & McAllister, 2011). Experiencing difficulties with peer relations during childhood means that many children with SLI enter adolescence less equipped in the skills needed for this area of life. Numerous studies have shown the link between early SLI and literacy skills. Consequently, speech-language pathologists (SLP) incorporate reading and writing activities in their language intervention. Less attention has been given to the social-emotional implications of SLI and the roles that SLPs might play in this area. In a recent study, Conti-Ramsden and colleagues investigated the developmental trajectories of behavioral, emotional, and social difficulties in individuals with a history of SLI from childhood to adolescence (St. Clair, Pickles, Durkin, & Conti-Ramsden, 2011). They observed an increase in peer problems and in the proportion of individuals functioning in the impaired range from childhood to adolescence. By 16 years of age, against national norms, nearly 40% of adolescents with SLI appeared impaired in their interactions with peers. SLI is a very heterogeneous disorder. In general, children with SLI are sociable (Wadman, Durkin, & Conti-Ramsden, 2008), but there is evidence that they are more likely to be withdrawn (Brinton & Fujiki, 2002) and less likely to exhibit skilled social behaviors (Fujiki, Brinton, A newsletter dedicated to speech & language in school-age children
Network characteristics: When an individual’s job crafting depends on the jobs of others

Because job crafting research proposes that individuals alter jobs on their own, there is an open debate on how others influence an individual’s job crafting. Whereas previous research has recognized that incumbents engage in job crafting depending on the characteristics of their own job, this study shows that job crafting depends on the job characteristics of the incumbents’ network contacts, meaning all employees in the organization with whom the incumbents frequently communicate about task-related issues. Applying role theory, the article theorizes that network contacts act as role senders who affect job crafting because they communicate role expectations that vary as a function of their own task activities. Key empirical findings show that contacts’ autonomy and contacts’ feedback from the job positively affect job crafting, whereas contacts’ task significance exercises a negative effect. The findings further show that the effect of job crafting on performance depends on the central position occupied by the incumbent in the network of relationships. When designing jobs, managers should therefore not only consider the tasks of each single incumbent but also the tasks of the people connected to him or her.
A Research Design: Investigating the Effects of Self-Regulated Learning Strategies on EFL Learners’ Writing Performance: A Case Study of a Chinese University

Extensive research has recognized Self-Regulated Learning (SRL) as an essential means to explore learner’s intrinsic nature like learning motivation and strategies, and investigated its effects on learner’s learning outcomes. In such a rich theoretical framework, this paper aims to raise a specific research question on what SRL strategies Chinese EFL learners prefer to use and how the SRL strategies affect Chinese EFL learners’ writing performance. The process of the research design begins with the articulation of the author’s ontological and epistemological stance, then a discussion on the methodological considerations will be provided. The choice of a mixed method approach with specific techniques—questionnaire and interview—will be explained. Other concerns on ethics, validity and reliability, and limitations in the research design will be further expressed.
Introduction to Extra Dimensions

Extra dimensions provide a very useful tool in addressing a number of the fundamental problems faced by the Standard Model. The following provides a very basic introduction to this very broad subject area as given at the VIII School of the Gravitational and Mathematical Physics Division of the Mexican Physical Society in December 2009. Some prospects for extra dimensional searches at the 7 TeV LHC with {approx}1 fb{sup -1} of integrated luminosity are provided.
A Multi-Issue Negotiation Mechanism for Bounded Rational Negotiators

So far, taking computational limitations into account just has been applied to single-issue negotiations while multiple-issue negotiations are more interesting because of further compatibility with the real world mechanisms. In this paper, we propose a mechanism for multiple-issue negotiations, where the agents have time limits to find the best contract. Every negotiation consists of several independent issues where finding the best-value for each of these issues becomes an intricate problem. The agents use an optimization algorithm to optimize their proposed contract. At every time step, computations are done by the agents to improve one of these negotiation issues. Since every negotiation has to be ended before a deadline, the negotiators might have no enough time to find the best contract. As a result, finding the best result requires precise management of time allocation in order to improve each issue of the negotiation. To solve this problem, our mechanism presents a deliberation control method to allocate a suitable computation time for each issue, thus causes the agents to find the best possible contract in allotted time. We consider two different types of the agent's knowledge about negotiation deadline. In the first type, agents are aware of each other's deadline, but in the second scenario every agent has a private deadline.
21 Multimedia, Broadcasting, and Eculture 21.1 Introduction 21.2 Scientific and Technical Overview 21.2.1 Multimedia Semantics: Vocabularies and Tools 21.2.1.1 Multimedia Vocabularies on the Semantic Web

This chapter turns to the application of semantic technologies to areas where text is not dominant, but rather audiovisual content in the form of images, 3D objects, audio, and video/television. Non-textual digital content raises new challenges for semantic technology in terms of capturing the meaning of that content and expressing it in the form of semantic annotation. Where such annotations are available in combination with expressive ontologies describing the target domain, such as television and cultural heritage, new and exciting possibilities arise for multimedia applications.
An Investigation into the Performance Enhancement and Salient Features of AMR-WB Speech Codec Used in GSM Communication

The 3rd Generation Partnership Project (3GPP) along with European Telecommunication Standard Institute (ETSI) recommended new speech coding scheme, called Adaptive Multi Rate (AMR) in 2000 and 2001. The proposed scheme has two variants: AMR-Narrowband (AMR-NB) and AMR-WB (AMR- Wideband). The speech quality of AMR-WB in GSM systems is remarkably high compared with that of AMR-NB speech codec because it encompasses wider bandwidth of the speech signal, 50-7000 Hz, instead of 200-3400 Hz in AMR-NB. But there are always possibilities for improvement. This paper investigates the salient features of AMR-WM codec and various possibilities for further enhancement in its speech quality. Two algorithms are recommended for incorporation into the standard AMR-WB to achieve this goal.
Utilising six sigma for improving pass percentage of students: A technical institute case study

Service sector accounts for a substantial share in Indian economy and among the service industries, education sector is emerging as a major commercial activity in the nation. Globalization, growing competition among institutions, emergence of new technologies, changing socio-economic profiles of nations and knowledge driven economies have created a scenario where quality in education is beginning to occupy the centre stage. Now the quality is no more a desirable strategy – it has become a survival strategy. In such a scenario, ‘Technical Education Institutions’ require an innovative supporting tool, which helps in improving the quality of education system. In industry, a company may look at defects in its final manufactured products, whereas, in engineering education, a defect relates to falling pass percentage among students. In industry, a company may look at defects in its final manufactured products, but in engineering education, these defects are related to falling pass percentage among students or capabilities of the students. This paper reviews the implications of applying Six Sigma methodology over a technical institute to increase the passing rate of students. It was found that application of Six Sigma project recommendation increased the sigma level of the technical institute to 4.17 from 2.28 and significantly resulted in increasing the passing rate of students. This article provides documented evidence of Six Sigma implementation in technical education in India and will yield a great value to academics, consultants, researchers and practitioners of Six Sigma. Key words: Six sigma, DPMO, DMAIC, technical institute.
The intelligent inspection engine-a real-time real-world visual classifier system

An intelligent inspection engine (IIE) for the classification of nonregular shaped objects from images is described and evaluated using real-world data from a waste package sorting application. The entire system is self-organizing. Principal component analysis and additional a priori knowledge on color properties are used for feature extraction. As classifiers, growing neural networks provide robustness and minimize the number of runs for parameter tuning. The authors propose a method to encompass feature extraction and classification within a bootstrap procedure. This method reduces the immense memory requirement for the computation of principal components if the number and size of training images are huge without too much loss of recognition quality.
Adaptive beamforming using neural network and fuzzy logic model for measurement data fusion

In the information technology age, multisource multi-sensor information fusion encompasses the theory , methods and tools conceived and used for exploiting synergy in the information acquired from multiple sources databases, sensors. In Multi-sensor data fusion technology, array processing is an area of signal processing that has powerful tools for extracting information from signals collected using an array of sensors. A sensor array captures spatially propagating signals arriving from a certain direction and processes them to obtain useful information. To this end, we intend to linearly combine the signals from all the sensors with coefficients in a manner, so as to estimate transmitted data radiating from a particular direction. Current methods to calculate the weight coefficients are complex. simple and effective weight coefficient calculation method is considered and which is based on where the best features of neural network and fuzzy logic is combined. This technique is based on the optimum beamformer and makes it robust to an faulty estimate of the Direction Of Arrival (DOA) even when powerful interferences are within the uncertainty range of the desired source or contact. The new modified beamformer algorithm is the product of an effort to provide more efficient procedure for real time implementation and a better estimate of the position and spectrum of the contact which is helpful in measurement data fusion or localization.
Serum Adiponectin and Indices of Cardiovascular Risk in Young Women with Excessive Body Mass

Adiponectin reduces oxidative stress, the release of C-reactive protein and influences on the process of atherogenesis reducing lipid accumulation in the blood vessels. The findings on the association of adiponectin with cardiovascular risk are contradictory. This study aimed to assess the relationship between adiponectin and indices of cardiovascular risk in women with excessive body mass. Adiponectin, hsCRP and lipids were measured in blood samples obtained from normoglycemic women with excessive body mass (n=52;BMI≥25 kg/m2) aged 25-40 yrs and age-matched healthy controls (n=36; BMI<25kg/m2). All subjects underwent blood pressure examination and anthropometric measurements. Median concentration of adiponectin in the serum in women with excessive body mass was significantly lower than in women with normal weight (10,8 vs 15,5 µg/ml; p<0,01). Similarly, median serum concentration of triglycerides, hsCRP and blood pressure values were significantly higher and HDL-cholesterol significantly lower in women with BMI≥25 kg/m2 in comparison to these with normal BMI, however only HDL-C and hsCRP were found to be beyond widely accepted cut-offs. Hypoadiponectinemia in women with excessive body mass (adiponectin concentration below the 5th percentile in the control group) was associated predominantly with abnormally increased median values of hsCRP and blood pressure. Concentrations of total cholesterol, non-HDL-C and LDL-C were also significantly higher in women with excessive body mass and hypoadiponectinemia, however still within the reference range. Our results suggest that adiponectin may be used as a prognostic marker of cardiovascular risk in women with excessive body mass.
Low cost simultaneous calibration of a stereo vision system and a welding robot

Stereo vision and hand-eye calibration is one of the most important and fundamental tasks in visually guided robotic control tasks. The work presented in this paper aims to develop an accurate camera based stereo vision and hand-eye calibration algorithm that is robust enough to be used in a robotic arc welding system. The proposed calibration method allows the object reference frame to be directly related to the robots base co-ordinate frame without the use of expensive coordinate measuring devices. Experimental results have shown that the proposed method can achieve a positional error of less than 1 mm in the Cartesian space, which is acceptable in most arc welding applications.
Maternal perinatal depression: emotional development in offspring from infancy to adolescence

ABSTRACT Maternal perinatal depression is not an uncommon experience, yet few mothers are identified and treated – a concerning fact, given the potential for negative impact on both maternal and infant well-being. In the present study, I review recent research in the field of maternal perinatal depression and highlight associated developmental outcomes among offspring in physiological, cognitive, behavioural, and socio-emotional domains. Developmental outcomes – and more specifically, the pathways by which these outcomes develop – are explored among offspring in infancy, childhood, and adolescence. Specific attention is given to research exploring (at both macro- and micro levels) the interactional processes that occur between mothers with depression and their offspring. Ultimately, the review identifies a need to continue to develop and apply novel research methodologies to further understand the interactional processes that occur between mothers and their offspring in the context of maternal depression, and specifically how these interactions develop across the span of offspring development.
Harmonic Rejection in 2.4 GHz Gilbert Cell Mixer for Terrestrial Microwave Communication systems

Mixer is one of the significant components of the radio frequency transceiver that translate baseband signal into RF and vice versa. In this paper, 2.4 GHz double balanced Gilbert Cell Mixer topology was simulated to study its important properties such as Conversion Gain, Linearity, Noise Figure and Port Isolation. Further, a band pass filter is added in to the design at IF port so as to reject harmonics. The mixer topology is designed and simulated using NMOS 180 nm CMOS technology in Advanced Design Systems. As a result, conversion gain of 8.303 dB, high linearity, high port isolation and Harmonic Rejection Ratio > 80 dB is achieved. General Terms Harmonic rejection in down conversion Gilbert cell Mixer