Miracle-dz/UniFAR-FTUs huggingface dataset:
JOB SATISFACTION OF MUNICIPAL GOVERNMENT EMPLOYEES WITH PARTICULAR REFERENCE TO PADMANABHAPURAM MUNICIPALITY

Job satisfaction is to assess how people feel about their jobs. It is a key aspect to make employees more productive, innovative and committed. There are various internal and external factors that affect the workers job satisfaction. Though, similar facilities are provided to all the employees in government sector, the level of satisfaction can vary at the individual level. The scope of the present study is limited to analyzing the job satisfaction among the employees of Padmanabhapuram municipality in Kanyakumari District. The study has three objectives that are, to study the profile of the respondents, to analyse the job related aspects and to determine the factors influencing job satisfaction of the respondents in the study area. The study includes primary and secondary sources. Primary data have been collected with the help of the interview schedule from 60 respondents through simple random sampling method. The secondary data were gathered from the past records of the municipality, books, journals and websites. Statistical tools such as percentages, Friedman Rank Test and Factor Analysis were used for data analyses. It was found that the foremost reason for preferring government job is good salary followed by job security. The dominant percentage of the respondents were in sanitary and public health department. Factors analysis revealed that job related factor and economic factors primarily influence the level of satisfaction. Factors influencing job satisfaction can be frequently measured to find out the areas of satisfaction and dissatisfaction among the employees. Thus, higher the satisfaction of employees, effective will be the performance of the organization.
GALECTIN3 IN OBESITY AND TYPE 2 DIABETES

Galectin-3 is an important regulator of infl ammation and acts as a receptor for advanced-glycation (AGE) and lipoxidation end-products (ALE). Evidence indicates a signifi cant upregulation in circulating levels and visceral adipose tissue production of Galectin-3 in obesity and type 2 diabetes. Recent studies demonstrate development of obesity and dysregulation of glucose metabolism in Galectin-3 “knockout” (KO) mice, which also develop accelerated and more severe pathology in models of atherosclerosis and metabolically-induced kidney damage. Th us, evidence that Galectin-3 is an important player in metabolic disease is accumulating. Th is review discusses current evidence on the connection between Galectin-3 and metabolic disease, focusing on mechanisms by which this galectin modulates adiposity, glucose metabolism and obesity-associated infl ammatory responses.
Classic Correction of Range Migration Algorithms in SAR Imaging processing

Range Migration plays a most critical role in focusing an image and its correction is the most important procedure in synthetic aperture radar(SAR) image formation.Classic range cell migration correction(RCMC) is realized by Sinc interpolation and it is important to calculate the instantaneous slant range distance between the central phase and the scattering phase in Range-Doppler Algorithm (RDA). The advantages and principle of Sinc interpolation and the basic processing of RCMC will be introduced.
Curvature-based Penalty for Anatomical and Functional MR Human Spine Image Registration

This paper describes an application of image registration. The method is based on an efficient implementation of the curvature registration. This non-rigid registration allows us to find best geometric correspondence between two images. The goal is to register anatomical and functional spine images of the same patient to localize functionality in anatomical images. Most of previous experiments have been tested on brain images and it is the first time that the variational method has been used to register spine images. Registration results are compared with those of MIRT toolbox using two kinds of similarity measures; mutual information (MI) and correlation ratio (CR). MIRT is a Matlab software package for 2D and 3D non-rigid image registration. The model of transformation is parametric and based on B-spline method. Superior results have been achieved compared to the results of MIRT.
Fuzzy logic based BPC strategy for a Grid connected STATCOM

This paper presents an implementation of a three phase distribution static compensator (DSTATCOM) using a back propagation (BP) control algorithm for its functions such as harmonic elimination, load balancing and reactive power compensation for power factor correction, and zero voltage regulation under nonlinear loads. A BP-based control algorithm is used for the extraction of the fundamental weighted value of active and reactive power components of load currents which are required for the estimation of reference source currents. A prototype of DSTATCOM is developed using a digital signal processor, and its performance is studied under various operating conditions. The performance of DSTATCOM is found to be satisfactory with the proposed control algorithm for various types of loads.
FE MODELS FOR THE EVALUATION OF HYDRODYNAMIC PRESSURE ON CONCRETE GRAVITY DAMS DURING EARTHQUAKES

Earthquakes are a significant factor in the design and safety evaluation of dams and, in this context, an accurate prediction of forces acting on the structure is needed. The hydrodynamic action plays a key role in this regard and its accurate evaluation is a major issue. Most of the earthquake analyses of gravity dams in the past have ignored the interaction between dam and reservoir. The equivalent body of hydrodynamic forces, the “added mass” model, derived from the well-known Westergaard theory, is nowadays the most widespread approach still adopted in modern design codes. Nevertheless, taking into account Fluid Structure Interaction (FSI) is sometimes more appropriate, though more complicated. In this work, hydrodynamic pressures on a large Italian gravity dam have been calculated using different modelling approaches: rigid barrier, deformable dam with added masses and FSI. Frequency domain analyses have been carried out both on plane strain models and on more refined 3D models, by applying a horizontal acceleration to the dam base. The comparison among frequency response curves obtained from 2D and 3D models highlights noticeable differences concerning resonance frequencies and peak response values, even with the same modelling approach. This study demonstrates that simplified 2D added-mass models may be over-conservative compared to 3D FSI simulations. Concluding, it can be argued that full 3D coupled analyses should be preferred to simplified 2D ones to estimate the hydrodynamic pressure acting on the upstream face of the dam during earthquakes.
Testing a Minimalist Grammar Parser on Italian Relative Clause Asymmetries

Stabler’s (2013) top-down parser for Minimalist grammars has been used to account for off-line processing preferences across a variety of seemingly unrelated phenomena cross-linguistically, via complexity metrics measuring “memory burden”. This paper extends the empirical coverage of the model by looking at the processing asymmetries of Italian relative clauses, as I discuss the relevance of these constructions in evaluating plausible structure-driven models of processing difficulty.
Modular Fuzzy Interacting Multiple Model for Maneuvering Target Tracking

A novel maneuvering target tracking algorithm is investigated. Drawing on the experience of combination idea of the modular structure and the fuzzy interacting multiple model algorithm (FIMM), a modular fuzzy interacting multiple model algorithm (MFIMM) is presented. The MFIMM algorithm consists of three independent modules working in parallel. The change of a target motion is also divided into three levels. The motion of a target is detected by a fuzzy control motion detector. Once the maneuver is detected, the MFIMM algorithm selects one of the three modules matching the actual movement of the target every moment. Afterwards, the MFIMM algorithm estimates the state of the target through interactive multiple model algorithm (IMM) based on square root unscented Kalman Filter (SRUKF) of the selected module. Therefore, the fuzzy motion detector deals with the level of motion and the modules switching, whereas the IMM-SRUKF accounts for the estimation of the dynamic system.
Rational Bubbles in Realistic Markets ?

The classical models of rational bubbles are based on intergenerational trading frictions. Here, we devise a model of bubbles based on overlapping generations of assets (OLGA) rather than of agents (OLG). Rational dynastic agents face idiosyncratic income risk and are subject to borrowing-constraints. Stochastically emerging Lucas trees are tradable in a stock market, but only after their emergence. In a numerical example, we find that bubbles may exist for realistic degrees of stock market incompleteness. The model offers an alternative explanation for stock price anomalies that are usually ascribed to investor irrationality. JEL classification: D52, G12
ASSOCIATIVE RELATIONSHIPS AMONG PRODUCT CLASSES IN THE CONTEXT OF WEB RETAILING

Most web retailers use a product class hierarchy to organize their products, with first-level product classes occupying the most prominent position in the website layout. By using the customer transaction records of a cosmetic web retailer, this study applied co-occurrence analysis to the data and revealed interesting associative relationships among the product classes. This result shows that with readily available analysis tools, web retailers can assess the effectiveness of its product class layout on web and harness cross sale opportunities with a reorganization display of product classes.
IMPROVED YEAST STRAINS FOR ORGANIC ACID PRODUCTION

(51) International Patent Classification: (81) Designated States (unless otherwise indicated, for every C12N 1/16 (2006.01) C12P 7/56 (2006.01) kind of national protection available): AE, AG, AL, AM, C12P 7/40 (2006.01) AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, (21) International Application Number: EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, PCT/EP2009/003753 HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (22) International Filing Date: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 27 May 2009 (27.05.2009) MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PG, PH, PL, PT, RO, RS, RU, SC, SD, SE, SG, (25) Filing Language: English SK, SL, SM, ST, SV, SY, TJ, TM, TN, TR, TT, TZ, UA, (26) Publication Language: English UG, US, UZ, VC, VN, ZA, ZM, ZW.
Response to Tumor Growth A Validated Mathematical Model of Cell-Mediated Immune

Mathematical models of tumor-immune interactions provide an analytic framework in which to address specific questions about tumor-immune dynamics. We present a new mathematical model that describes tumor-immune interactions, focusing on the role of natural killer (NK) and CD8 T cells in tumor surveillance, with the goal of understanding the dynamics of immune-mediated tumor rejection. The model describes tumor-immune cell interactions using a system of differential equations. The functions describing tumorimmune growth, response, and interaction rates, as well as associated variables, are developed using a least-squares method combined with a numerical differential equations solver. Parameter estimates and model validations use data from published mouse and human studies. Specifically, CD8 T-tumor and NK-tumor lysis data from chromium release assays as well as in vivo tumor growth data are used. A variable sensitivity analysis is done on the model. The new functional forms developed show that there is a clear distinction between the dynamics of NK and CD8 T cells. Simulations of tumor growth using different levels of immune stimulating ligands, effector cells, and tumor challenge are able to reproduce data from the published studies. A sensitivity analysis reveals that the variable to which the model is most sensitive is patient specific, and can be measured with a chromium release assay. The variable sensitivity analysis suggests that the model can predict which patients may positively respond to treatment. Computer simulations highlight the importance of CD8 T-cell activation in cancer therapy. (Cancer Res 2005; 65(17): 7950-8)
THE DETERMINANTS OF PRIMING AND CAMPAIGN STRATEGY WORK IN PROGRESS

When, and to what extent, do candidates use priming as a campaign strategy? Priming changes issue salience, and salience is a major determinant of elections, so candidates have incentives to prime certain issues to influence the outcome of elections and equilibrium policy. I examine the problem of optimal priming in a spatial campaign-election model with image and policy dimensions, in which one candidate, the incumbent, has an image advantage. Each candidate’s campaign implies the salience of image relative to policy; citizens believe neither, one, or both campaigns (in the sense that they evaluate candidates weighted by those relative salience levels) according to a probability distribution that depends on their pre-campaign salience and the salience implied by each campaign. I show that under reasonable conditions, the incumbent always primes image over policy, and the challenger always primes policy over image (even if he does not have an absolute advantage in policy either). In addition, I show comparative static results that, along with the overall behaviour, shed new light on the problem of priming and campaign effects.
The recovery of metals from WEEE: state of the art and future perspectives

Metals are essential elements in the modern technology as they are widely used for several industrial applications such as the manufacturing of electronic devices. Besides common metals, such as copper, iron and aluminium, electronic appliances can contain precious metals as well as metals defined as critical, including rare earth elements (REEs). In this regard, the chance to recycle metals from end-of-life appliances, namely Waste Electrical and Electronic Equipment (WEEE), has benefits for both the economy and the environment in terms of its protection and conservation. However, the existing recycling industry for the recovery of metals from WEEE is still in its infant stage and mostly addressed to the recovery of base metals; precious metals are also extracted, while REEs are practically almost never recycled. The present work provides a comprehensive overview of the recycling technologies currently applied for the recovery of metals from WEEE, including the recovery of REEs, for which few and fragmented information is available in literature due to the limited experience and the restriction imposed by trade secrets. Advantages, as well as limits of both conventional technologies and recent research developments, are discussed and future perspectives are lastly pointed out.
THE IMPACT OF MANAGEMENT OWNERSHIP ON THE COST OF DEBT IN ACCEPTED CORPORATIONS IN TEHRAN ’ S SECURITIES

Managers who themselves are the owner of company`s stocks are considered as stable stockholder. It is expected that they play an active and manifest role in decreasing opportunism of managerial agency costs and wealth distribution between stockholders and creditors. So, it is argued that as a result, managerial agency cost reduces and subsequently debt cost reduces as well. The present study reviews the impact of managerial ownership on debt cost. In this study, percentage of stocks owned by company directors is used to measure managerial ownership, interest cost to total debts is used to debt cost. To do so, a number of 50 companies listed in Tehran Stock exchange in 2007-2013 time span were reviewed. Regression analysis was used to review the relationships between variables. The results indicate that the impact of managerial ownership on debt cost is insignificant.
Mapping the Constitutional Agreement : In Search of a Basis to Functioning of Multiethnic States

With the end of bloody conflicts and wars in the Balkans, which caused hundreds of thousands of victims, genocide and large-scale destruction, the international community used various methods and tactics for achieving peace in Ballkan. The solutions that were proposed, were imposed, temporary political solutions, achieved through compromise, which did not meet the requirements of any community (leaving pending and unresolved key issues). These solutions that were proposed by the international community in most cases were balanced, and in some cases were contrary to the interests of the peoples that were victims of war in former Yugoslavia. The agreements reached between the parties in conflict, internationally mediated to end the war especially in Bosnia, Kosovo and Macedonia – created the so called multiethnic states that every day more and more are seen as flawed and unworkable projects in practice. One of the criticisms addressed to traditional approaches to drafting the constitution is that they have a static, unchanging and contractually access to the process of drafting of the constitution. The new approach is characterized by greater transparency and broader participation of the public. The process is also characterized by increasing the involvement of the international community in the process, to otherwise known as "joint effort with the international community".
Hyperstories : interactive narrative in virtual worlds

We present a methodology to specify interactive narrative in virtual worlds. HyperStories extend the idea of branching games and the classic choose your own adventure novels. The main difference arises from the possibility of temporal opportunity and autonomous behavior of entities in the virtual navigational environment and the possibility of object migration between nodes. The aim of this paper is to present a formal step to design and specify this type of software and to describe the similarities and differences between HyperStories, MUDs, and hypermedia applications. According to our research experience HyperStories are an interesting metaphor to deliver educational software and knowledge construction. We also discuss the stages in HyperStory modeling and further development.
Real-time pricing of distribution network based on node load sensitivity

The smart distribution network requires the customers to participate in the regulation of grid, optimizes the electric curve and realizes the peak load shifting by using the real-time pricing. According to the geographical distribution of loads in the distribution network, the sensitivity of the loss of distribution network to nodal load is derived, and the model of the sensitive relationship of load node is provided. Combing the model and the elasticity curve of electric demand, the influence of different kinds of loads on real-time pricing is analysed. And the model of real-time pricing for distribution network is proposed. The simulation result based on the IEEE69 nodes system shows that the longer power supply radius and the bigger the load density are, the bigger the sensitivity of nodal load is and the higher the real-time price of node is. At the same time, the bigger the elastic demand is, the more the real-time pricing changes. The result also shows that the peakvalley difference of the grid is reduced significantly. INTRODUCTION With the rapid growth of economy, the power demand and the peak-valley difference are increasing. It will be a substantial waste to meet increased peak load demands by expanding power grid. Demand response is a kind of behavior to shift the peak load and improve the electricity efficiency. Meanwhile, the real-time pricing mechanism is an effective way for demand response. The real-time pricing mechanism allows the consumers to choose the electricity-using mode according to their demands and the current power price. Then, it is very important to construct a reasonable real-time pricing mechanism for distribution network . In recent years, real-time pricing theory has been researched. However, most of the present researches are mainly focused on the transmission network , and some applications of nodal pricing for distribution network . Base on the radial structure of distribution network, the load sensitivity model is derived to reflect the impacting on the real-time price considering the load distribution in time and space. Based on the effect of price elasticity of This study was supported by the National High Technology Research and Development of China 863 Program (2012AA050214). the demand side on different types of loads , the demand price elasticity function are proposed to calculate the impact of different types of loads on the real-time price. And then an adaptive model of real-time price is established based on the above conditions. NODAL LOAD SENSITIVITY MODEL OF DISTRIBUTION NETWORK The structure of distribution network is shown in Fig. 1.
Detecting the scope of negations in clinical notes

English. We address the problem of automatically detecting the scope of negations and speculations in clinical notes, by proposing a machine-learning algorithm that analyzes the dependency tree of a sentence. Given a negative/speculative cue, the algorithm tries to extend the boundary of the scope towards the left and the right, by navigating through the parse tree. We report on experiments with the algorithm using the Bioscope corpus. Italiano. Il lavoro affronta il problema di identificare l’ambito a cui si applica una negazione o un’espressione dubitativa nel testo di un referto medico. Si propone un algoritmo di apprendimento automatico, che analizza l’albero di parsing di ogni frase. Dato un indizio di negazione/ipotesi, l’algoritmo cerca di estendere il confine dell’ambito sia a destra che a sinistra, attraversando l’albero di parsing. Riportiamo infine i risultati di esperimenti con l’algoritmo effettuati usando il corpus Bioscope.
Performance Comparison of Power efficient LDPC coded OFDM

OFDM with Quadrature amplitude modulation (QAM) technique can be used for high speed optical applications. As the order of modulation increases, the bit error rate (BER) increases. Forward Error correction (FEC) coding like LDPC coding is generally used to improve BER performance. LDPC provides large minimum distance and also the power efficiency of the LDPC code increases significantly with the code length. Here we have given a look into different algorithms of LDPC codes along with a comparison note of various codes. A long Irregular LDPC code is simulated over the BIAWGN channel demonstrating the fact that LDPC coded OFDM with soft decision decoding provides very low bit error rate as well as a large gain in transmitter power and thus making the link more power efficient than the case with hard decision decoding. Lastly, the simulation analysis is directed towards the goal of getting advantages of using the LDPC coded OFDM in Optical wireless communication (OWC).