Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication Forms as Predictors of Issue Knowledge in Presidential Campaigns: A Meta-Analytic Assessment

Theory and past research argue for the importance of understanding the effect of various campaign communication forms (e.g., newspapers, television news, radio, debates, candidate advertising, and personal discussions) on levels of issue knowledge (IK). This study used a meta-analytic approach to examine how well these forms predict IK. The aggregate analysis indicates that any of these forms can affect IK but that the different forms are not equally successful. Findings also indicate that the level of campaign interest moderates the effect of reading newspapers and watching television news and that those who watch debates in years with incumbents are less likely to learn. In addition, studies of newspapers are less likely to find significant effects in recent years, even though the issue content of newspapers has increased. The findings also suggest that television news is more likely to influence IK when levels of issue content are greater. These data indicate that measures of media use and IK can systematically influence the study results. Several conclusions are drawn from the research in the hopes of moving toward a theoretical model of communication forms and the attainment of IK.
Antidepressant therapeutic effect of mianserin‐induced generalized tonic‐clonic seizure in an elderly patient

Generalized tonic‐clinic seizures may appear as a side‐effect of all antidepressant drugs, including mianserin. We present here a case of an 83‐year‐old woman whose major depressive episode (superimposed on mild dementia) completely resolved following a generalized tonic‐clonic seizure. The improvement, which was maintained for 3 months, may be attributable to the drug‐induced single convulsion. It would be of interest to know whether other psychiatrists have had similar experiences concerning an immediate antidepressant effect to a single tonic‐clonic seizure (drug‐induced or provoked by electroconvulsive therapy). If a subgroup of patients responsive to single generalized tonic‐clonic seizure were to exist (especially among elderly patients), it would allow them to receive a minimal number of electroconvulsive therapy (ECT) sessions, decreasing the probability of the appearance of ECT side‐effects.
A rational technique to maximize active power & diminish losses and reactive power of a DFIG

In wind energy conversion systems (WECS), efficiency is of prime importance. For Doubly Fed Induction Generator (DFIG) based systems, to ensure maximum output, losses must be minimized. Reduction in reactive power may also facilitate an increased extraction of active power. This objective can be fulfilled by exercising proper control over direct axis rotor current (Idr) and quadrature axis rotor current (Iqr). This work embodies a logical approach for determining the value of Idr and Iqr which would yield maximum power from the DFIG. The aforementioned approach corresponds to a practical system because it concerns with minimization of reactive power. Most other works develop control schemes in which reactive power is considered zero. Simulation analysis using MATLAB 2010 has been done for validating the concepts mentioned in this paper.
Design and Implementation of OpenMP Tasks in the OMPi Compiler

In this paper we present the design and implementation of tasks in the context of the \ompi\ \openmp\ compiler. The modular architecture of \ompi's runtime system allows a wide range of choices for experimenting with \openmp\ structures. We present two fully-fledged implementations of tasks: one based on \posix\ threads, with the addition of a tasking layer, and another one based on an almost unmodified user-level threading library. Both allow the tuning of their scheduling parameters so as to optimize memory consumption and execution times, resulting in highly competitive performance.
Does OD practice within the HR profession in the UK reflect the academic rhetoric

Purpose – The purpose of this paper is to critically examine whether organizational development (OD), as described in academic writing on the topic, is reflected in practice in the Human Resources (HR) profession in the UK. This research aims to compare the results of an exploratory investigation to establish the main elements of OD practice in this professional group with academic definitions.Design/methodology/approach – The approach applied in this paper comprises a review of the academic literature on OD combined with an exploratory study by way of content analysis of job advertisements for OD professionals within the UK HR profession. Comparison between what the literature suggests companies should seek in the way of OD practice within the HR profession and the operationalisation of what they are actually requiring (deduced through the content of job advertisements) forms the basis of the methodology.Findings – While there are features of the academic definitions which do appear prominently in practi.
Genetic Variation in Multilocus Microsatellite Genotypes in Two Species of Woodrats (Neotoma macrotis and N. fuscipes) from California

Abstract Five microsatellite loci were used to develop multilocus genotypes for Neotoma macrotis (n = 128) and N. fuscipes (n = 29). Several statistical analyses were used to estimate genetic structure, levels of genetic variability, and degree of relatedness within groups of these 2 species. Samples of N. macrotis represented 2 groups and 4 population clusters throughout southern California. Samples of N. fuscipes represented 2 regions in northern and southern California. Genetic structure was detected among samples of N. macrotis and N. fuscipes at a regional level. Both species displayed moderate to high genetic diversity in terms of mean expected heterozygosity (0.939 and 0.804 for N. macrotis and N. fuscipes, respectively) and mean polymorphic information content (0.930 and 0.761 for N. macrotis and N. fuscipes, respectively). Mean relatedness values within regions and populations of N. macrotis indicated 4th-order levels of relatedness within groups (e.g., distant-cousin relationships). Mean relatedness values within regions of N. fuscipes indicated 2nd-order (e.g., half-sibling) relationships within the northern region and 3rd-order (e.g., cousin) relationships in the southern region. One locus in particular (Nma04) was determined to be diagnostic in distinguishing between these 2 species.
Robust Multimodal Biometrics Recognition: A Review

Biometric recognition systems rely on a single biometric signature for authentication. While the advantage of using multiple sources of information for establishing the identity has been widely recognized, computational models for multimodal biometrics recognition have only recently received attention. We propose a multimodal sparse representation method, which represents the test data by a sparse linear combination of training data, while constraining the observations from different modalities of the test subject to share their sparse representations. Thus, we simultaneously take into account correlations as well as coupling information among biometric modalities. A multimodal quality measure is also proposed to weigh each modality as it gets fused. Furthermore, we also kernelize the algorithm to handle nonlinearity in data. The optimization problem is solved using an efficient alternative direction method. Various experiments show that the proposed method compares favorably with competing
Influence of socioeconomic status on the whole blood transcriptome in African Americans

Background The correlation between low socioeconomic status (SES) and poor health outcome or higher risk of disease has been consistently reported by many epidemiological studies across various race/ancestry groups. However, the biological mechanisms linking low SES to disease and/or disease risk factors are not well understood and remain relatively under-studied. The analysis of the blood transcriptome is a promising window for elucidating how social and environmental factors influence the molecular networks governing health and disease. To further define the mechanistic pathways between social determinants and health, this study examined the impact of SES on the blood transcriptome in a sample of African-Americans. Methods An integrative approach leveraging three complementary methods (Weighted Gene Co-expression Network Analysis, Random Forest and Differential Expression) was adopted to identify the most predictive and robust transcriptome pathways associated with SES. We analyzed the expression of 15079 genes (RNA-seq) from whole blood across 36 samples. Results The results revealed a cluster of 141 co-expressed genes over-expressed in the low SES group. Three pro-inflammatory pathways (IL-8 Signaling, NF-κB Signaling and Dendritic Cell Maturation) are activated in this module and over-expressed in low SES. Random Forest analysis revealed 55 of the 141 genes that, collectively, predict SES with an area under the curve of 0.85. One third of the 141 genes are significantly over-expressed in the low SES group. Conclusion Lower SES has consistently been linked to many social and environmental conditions acting as stressors and known to be correlated with vulnerability to chronic illnesses (e.g. asthma, diabetes) associated with a chronic inflammatory state. Our unbiased analysis of the blood transcriptome in African-Americans revealed evidence of a robust molecular signature of increased inflammation associated with low SES. The results provide a plausible link between the social factors and chronic inflammation.
Punish and Forgive: Causal Attribution and Positivity Bias in Response to Cat and Dog Misbehavior

College students (N = 366) judged dog or cat misbehavior (soiling or predation) via questionnaire items. Common factor analysis yielded 3 dimensions of student response: (a) the sinner (including the variable of animals' intention); (b) the sin (including the variable of recommended punishment); and (c) mercy (including the variable of recommended forgiveness). Correlations among sinner, sin, and mercy factor scores supported predictions from causal attribution theory. Nevertheless, cross-tabulation analysis revealed that nearly 90% of all respondents endorsed mercy (generally high forgive ratings), regardless of the extent to which the animals were seen as sinners (high versus low intent ratings), or evaluations of the level of sin (high versus low punish ratings). Absolutely high average mercy scores indicated an animal positivity bias. Results thus evoked the adage that "the quality of mercy is not strained. " That is, regarding errant companion animals, cognitive responses to punish and to forgive are not always mutually exclusive options.
Visual guidance system for remote-operation

This paper presents the method to generate visual information to control robot manipulator in remote-site. Unlike the existing method, the proposed method uses Kinectfusion method for reconstructing a dense 3D environment. Based on the 3D data, we propose a visual guidance system such as guideline for alignment, auto-zooming and multi-view function. Then, we apply our method to hydraulic robot manipulator operating. We demonstrate that our visual guidance can help the operator to control the robot arm.
Effects of group songwriting on depression and quality of life in acute psychiatric inpatients: A randomized three group effectiveness study

The purpose of this study was to determine the immediate effects of group psychoeducational songwriting on quality of life, depression, and treatment perceptions in acute psychiatric inpatients during a randomized three group design. Participants were randomly assigned by cluster to one of three conditions: Group songwriting (n = 33), psychoeducation (n = 32), or recreational music therapy (n = 40). Quality of life and depression were measured via established psychometric instruments and treatment perceptions were measured via Likert-type scales at immediate posttest. Results indicated no significant between-group differences in quality of life or depression measures. However, participants in the songwriting condition tended to have the highest mean quality of life and lowest mean depression scores. Participants in the psychoeducation condition tended to have the lowest mean quality of life and highest mean depression scores. Although not significant, participants in both music therapy conditions tended to have slightly higher mean ratings of helpfulness and comfort than participants in the psychoeducation condition. From the results of this study, it seems that psychoeducational group songwriting can be utilized to immediately increase aspects of wellbeing in acute psychiatric inpatients. Limitations of the study, implications for clinical practice, and suggestions for future research are provided.
When cars start gossiping

Vehicular ad hoc networks present challenging characteristics, such as very dynamic behavior and sparse connectivity, that need to be taken into account in designing adequate communication support. Gossip-based protocols have recently emerged as an effective approach to providing reliable and efficient communication in this domain. Nonetheless, despite the preliminary encouraging results, to the best of our knowledge, no previous work has systematically analyzed how gossip protocols are affected by the intrinsic characteristics of vehicular networks such as the very specific mobility patterns of vehicles, the relative abundance of memory and computational resources that vehicles offer, and the availability of geographical information through GPS receivers. In this paper, we aim at filling this gap by examining core requirements of vehicular network applications and analyzing the research challenges that gossip-based communication protocols need to address.
Fans, Nonfans, and the Olympics: Predictors of Audience's Multiplatform Experience with the 2008 Beijing Games

The 2008 Beijing Olympics was the most watched television event in U.S. television history and represented a broad expansion and emphasis on online sports content. This study examined audience's multiplatform experience with the 2008 Beijing Games, particularly differences and commonalities between sports “fans” and “nonfans. ” Results indicate key distinctions between sports fans and nonfans in terms of overall behaviors, motivations, and preferences. Although sports fans watched the 2008 Olympics significantly more than nonfans, use of online platforms were not significantly different between fans and nonfans. Explanations of why fans and nonfans watched were notably similar. Findings highlight the dynamic interplay between choice, habit, and structure in newer media environments, particularly for big-event sports programming.
Overqualified? A conceptual model of managers’ perceptions of overqualification in selection decisions

Purpose – The purpose of this paper is to present a conceptual model for conducting research on how human resource and hiring managers form impressions of overqualified individuals and how these impressions affect their treatment of overqualified individuals during selection decisions. Design/methodology/approach – Given the central role of psychological processes within the proposed model, this conceptual paper builds on a social cognition approach. Findings – The proposed model consists of seven primary factors that can help propel research that is dynamic and contextually driven: attributes of the overqualified individual; job attributes; observers’ cognitive overqualification schemas; observers’ attitudes; observers’ categorization processes; the organizational context; and individual factors, all of which influence the observers’ treatment of overqualified individuals. Originality/value – Most research has focussed on individual-level outcomes of overqualification such as job satisfaction, turnover i.
Contents based Still-Image Protection Method using Seam Carving Algorithm

This paper proposes a new contents-based still image protection method which includes a copyright message. The existing method uses random number generator for contents vector generation. Since the existing method is able to select less important pixel, Authentication failure error rate increases in case of authenticating attacked image. In this paper, contents vector consisting of important pixels using energy value by Seam Carving algorithm is used instead of random pixel selection method when creating contents vector from original image. The experimental results show over 90% great performance from cropping attack while show performance from most attacks similar to existing algorithm.
Toll-like receptor 9 mediates innate immune activation by the malaria pigment hemozoin

Malaria parasites within red blood cells digest host hemoglobin into a hydrophobic heme polymer, known as hemozoin (HZ), which is subsequently released into the blood stream and then captured by and concentrated in the reticulo-endothelial system. Accumulating evidence suggests that HZ is immunologically active, but the molecular mechanism(s) through which HZ modulates the innate immune system has not been elucidated. This work demonstrates that HZ purified from Plasmodium falciparum is a novel non-DNA ligand for Toll-like receptor (TLR)9. HZ activated innate immune responses in vivo and in vitro, resulting in the production of cytokines, chemokines, and up-regulation of costimulatory molecules. Such responses were severely impaired in TLR9−/− and myeloid differentiation factor 88 (MyD88)−/−, but not in TLR2, TLR4, TLR7, or Toll/interleukin 1 receptor domain–containing adaptor-inducing interferon β−/− mice. Synthetic HZ, which is free of the other contaminants, also activated innate immune responses in vivo in a TLR9-dependent manner. Chloroquine (CQ), an antimalarial drug, abrogated HZ-induced cytokine production. These data suggest that TLR9-mediated, MyD88-dependent, and CQ-sensitive innate immune activation by HZ may play an important role in malaria parasite–host interactions.
Admissible term orderings used in computer algebra systems

Recently a discusion on correctness of Gr&ouml;bner bases computation arised with H. M. M&ouml;ller. We found that almost any implementation of Buchberger's algorithm to compute Gr&ouml;bner bases defines and uses its own ordering of power products. We summarize the definitions of the most important ones, and include 4 examples to illustrate the differencies.
A Two-Stage Model for Expert Search

This paper is concerned with expert search, a search task where the user types a query representing a topic and the search system returns a ranked list of people who are considered experts on the topic. The system does this using the evidence existing in a document collection. We proposed a model for performing the task in our TREC 2005 submission, referred to as two-stage model. Since that, a number of groups adopted the model in their systems and achieved good performances in their TREC submissions. This paper aims to give a comprehensive description on the two-stage model and provide more experimental results on the use of the model. Two-stage model is capable of employing many types of association relationships among query terms, documents and people (experts). The model consists of two parts: relevance model and co-occurrence model. The relevance model characterizes the relevance of documents to queries. The cooccurrence model characterizes the co-occurrence between people and terms (i.e., queries) in various types. In this paper, we report our new experimental results on two-stage model using the data in both TREC 2005 and TREC 2006 expert search tasks. We also show that our approach is applicable beyond TREC W3C corpus, by introducing experimental results on expert finding at Microsoft Research. Our experimental results, once again, demonstrate the effectiveness of the two-stage model.
Putting Flight Software Through the Paces with Testing , Model Checking , and Constraint-Solving

In this paper we discuss the application of a range of techniques to the verification of mission critical flight software for a JPL mission. It is clear that for this type of application we want to achieve a higher level of confidence than can be achieved through standard software testing. Unfortunately, given the current state of the art, especially if one has to comply with the tight deadlines and resource limitations of a flight project, it is not feasible to produce a rigorous formal proof of correctness of a flight file system. This means that we must look for a practical alternative in the gray area between traditional testing and proof, trying to optimize rigor and coverage as much as possible. The approach that we describe here is based on a combination of random testing, model checking, and static source code analysis. The results we have obtained are encouraging, and suggest that for more complex properties of programs with complex data structures, it is possibly more beneficial to use constraint solvers to guide execution (i.e., testing, even if performed by a model checking tool) than to translate the program and property into a set of constraints, as in abstraction-based and bounded model checkers.
Hierarchical Ensemble Methods for Protein Function Prediction

Protein function prediction is a complex multiclass multilabel classification problem, characterized by multiple issues such as the incompleteness of the available annotations, the integration of multiple sources of high dimensional biomolecular data, the unbalance of several functional classes, and the difficulty of univocally determining negative examples. Moreover, the hierarchical relationships between functional classes that characterize both the Gene Ontology and FunCat taxonomies motivate the development of hierarchy-aware prediction methods that showed significantly better performances than hierarchical-unaware “flat” prediction methods. In this paper, we provide a comprehensive review of hierarchical methods for protein function prediction based on ensembles of learning machines. According to this general approach, a separate learning machine is trained to learn a specific functional term and then the resulting predictions are assembled in a “consensus” ensemble decision, taking into account the hierarchical relationships between classes. The main hierarchical ensemble methods proposed in the literature are discussed in the context of existing computational methods for protein function prediction, highlighting their characteristics, advantages, and limitations. Open problems of this exciting research area of computational biology are finally considered, outlining novel perspectives for future research.
Improving queries and representing heterogeneous information in Fuzzy Ontologies using multi-granular fuzzy linguistic modelling methods

The appearance of Fuzzy Ontologies has improved the way that crisp ontologies use to represent information. Thanks to them, it is possible to represent information in an imprecise and linguistic way using linguistic modelling and fuzzy sets. Nevertheless, there are still several restrictions that must be overcome. For instance, ontology queries must be performed using a linguistic label set with an specific granularity value. In environments where several people have to deal with the same ontology, this can be an inconvenient since the chosen representation does not have to be suitable for all of them. In this paper, multi-granular fuzzy linguistic modelling methods have been used in order to deal with heterogeneous information coming from different sources and to allow experts to choose the linguistic label set that better fits their needs.