Miracle-dz/UniFAR-FTUs huggingface dataset:
Maximizing Wireless Sensor Network Coverage With Minimum Cost Using Harmony Search Algorithm

Coverage, one of the most important performance metrics for wireless sensor networks, reflects on how well a sensor field is monitored. Coverage problem is a devoted study of a node placement optimization problem in the coverage configuration before network deployment, where the objective is to find the optimal locations to place sensor nodes, such that the number of nodes (or the network cost) can be minimized and the coverage requirements can be satisfied. In this paper, we propose a harmony search (HS)-based deployment algorithm that can locate the optimal number of sensor nodes as well as their optimal locations for maximizing the network coverage and minimizing the network cost. The ability of HS is modified to automatically evolve the appropriate number of sensor nodes as well as their optimal locations. This can be accomplished by integrating the concept of adaptable length encoding in each solution vector to represent a variable number of candidate sensor nodes. Network coverage ratio, number of sensor nodes, and minimum distance between sensor nodes are the chief elements of a new objective function that has been offered to confirm the choice of the optimal number of sensor nodes and their positions. Experimental results show the ability of the proposed algorithm to find the appropriate number of sensor nodes and their locations. Furthermore, a comparative study with a metaheuristic Genetic-based algorithm and a random deployment technique has also been conducted and its results confirm the superiority of the proposed algorithm.
Improving the accuracy of static analysis based on state partition

In order to avoid the path explosion problem in full path-sensitive detection during the process of path-sensitive defect detection, defect states are often merged at merging nodes on control flow graph, but this rough merging strategy may lead to accuracy loss and false positives. In this paper, state partition is proposed to handle the implicit variable relationships on respective paths and to improve the accuracy of detection. We also propose a path merging strategy with state partition to avoid accuracy loss caused by untimely merging of data flow information, and it has been implemented in our static analysis tool, Defect Testing System (DTS). Experiment on a large number of C open source projects shows the great improvement this strategy makes.
Context Effects on Test Performance What About Test Order

The effects of varied test order within a computer test battery on test performance were investigated. An experiment was performed to determine whether completing objective personality tests sensu R. B. Cattell affects test performance in subsequent cognitive ability tests and vice versa. The sample consisted of managers of an industrial corporation (an automotive supplier) in "higher management positions" (business managers, department chiefs, and team leaders) who attended an investigation of their professional potential that resembled a real selection situation. It was hypothesized that carry-over and priming effects, as well as fatigue and learning effects might occur. Results of a MANOVA showed a main effect of test order on objective personality tests, since "frustration tolerance" decreased and "decisiveness" increased when objective personality tests were presented subsequent to cognitive ability tests, while cognitive ability tests were not affected by prior objective personality tests.
Convex Structured Controller Design

We consider the problem of synthesizing optimal linear feedback policies subject to arbitrary convex constraints on the feedback matrix. This is known to be a hard problem in the usual formulations ($\Htwo,\Hinf,\LQR$) and previous works have focused on characterizing classes of structural constraints that allow efficient solution through convex optimization or dynamic programming techniques. In this paper, we propose a new control objective and show that this formulation makes the problem of computing optimal linear feedback matrices convex under arbitrary convex constraints on the feedback matrix. This allows us to solve problems in decentralized control (sparsity in the feedback matrices), control with delays and variable impedance control. Although the control objective is nonstandard, we present theoretical and empirical evidence that it agrees well with standard notions of control. We also present an extension to nonlinear control affine systems. We present numerical experiments validating our approach.
How Body Balance Influences Political Party Evaluations: A Wii Balance Board Study

Embodied cognition research has shown how actions or body positions may affect cognitive processes, such as autobiographical memory retrieval or judgments. The present study examined the role of body balance (to the left or the right) in participants on their attributions to political parties. Participants thought they stood upright on a Wii™ Balance Board, while they were actually slightly tilted to the left or the right. Participants then ascribed fairly general political statements to one of 10 political parties that are represented in the Dutch House of Representatives. Results showed a significant interaction of congruent leaning direction with left- or right-wing party attribution. When the same analyses were performed with the political parties being divided into affiliations to the right, center, and left based on participants’ personal opinions rather than a ruling classification, no effects were found. The study provides evidence that conceptual metaphors are activated by manipulating body balance implicitly. Moreover, people’s judgments may be colored by seemingly trivial circumstances such as standing slightly out of balance.
A Discourse Planning Approach to Cinematic Camera Control for Narratives in Virtual Environments

As the complexity of narrative-based virtual environments grows, the need for effective communication of information to the users of these systems increase. Effective camera control for narrative-oriented virtual worlds involves decision making at three different levels: choosing cinematic geometric composition, choosing the best camera parameters for conveying affective information, and choosing camera shots and transitions to maintain thetorical coherence. We propose a camera planning system that mirrors the film production pipeline; we describe our formalization of film idioms used to communicate affective information. Our representation of idioms captures their hierarchical nature, represents the causal motivation for selection of shots, and provides a way for the system designer to specify the ranking of candidate shot sequences.
Voters and the Personal Vote: A Counterfactual Simulation

Electoral formulas and campaign practices in some nations encourage voters to consider the personal qualifications of candidates for legislative office, whereas individuating information about candidates is unavailable to voters in other nations. Where electoral rules and elite behavior foster the personal vote, the personal vote flourishes. However, it is unclear why voters respond to personal information about candidates. We test two competing hypotheses: that the personal vote reflects a general human tendency to attend to information regarding individuals' personal qualifications; and that the personal vote is an acquired behavior that emerges after voters are socialized to attend to personal information about candidates. We use counterfactual simulations to test these hypotheses. Specifically, we conduct laboratory experiments in which subjects drawn from Mexico and Venezuela-nations in which electoral rules ensure that the personal vote does not flourish-are provided the opportunity to consider candidates' personal qualifications. Results are consistent with the hypothesis that the personal vote stems from a general tendency in human decision making.
If Empowerment Is the Goal...: Affirmative Action and social Interaction

The goal of affirmative action policies is to empower formerly disenfranchised groups. But what if the procedures used to implement these policies activate a set of social psychological processes that prevent the occurrence of productive social interactions between target-group and non-target-group members? With that question in mind, a conceptual model is developed which focuses on the potential effects of affirmative action procedures on social interactions between members of policy target and nontarget groups. To conceptualize these potential effects of procedures, the concept of a policy schema is introduced. Special attention is paid to the conditions under which beliefs about procedures contained in policy schemas will influence patterns of interactions between target-group and non-target-group members. With that as background, a call is made for more complete analyses of the social psychology of affirmative action.
Flow Injection Chemiluminescent Immunoassay for Carcinoembryonic Antigen Using Boronic Immunoaffinity Column

A flow injection chemiluminescence immunoassay for rapid and sensitive detection of carcinoembryonic antigen (CEA) by using a phenylboronic acid-based immunoaffinity column as a glycoprotein collector was proposed in this paper. The column was prepared by coupling of 3-aminophenylboronic acid on the glass beads through a γ-glycidoxypropyltrimethoxysilane (GPMS) linkage. Based on an indirect competitive immunoreaction, the mixture of CEA sample and enzyme conjugated CEA antibody (HRP-anti-CEA) was incubated in advance, followed by direct injection to the column to capture free HRP-labeled CEA antibody in the column. The trapped HRP-labeled antibody was detected by flow inject chemiluminescence in the presence of luminol and hydrogen peroxide. The decreased chemiluminescent signal was proportional to the concentration of CEA in the range of 3.0–30.0 ng/mL with a correlation coefficient of 0.998. The column showed an acceptable reproducibility and stability and is potentially used for practical clinical detection of the serum CEA level.
Screening for Autism Spectrum Disorder with the Early Childhood Inventory-4

Objective: The early identification of children with autism spectrum disorders (ASDs) is critical for the remediation of developmental deficits. This study examined the clinical utility of ASD scoring algorithms for the Early Childhood Inventory-4 (ECI-4), a DSM-IV–referenced rating scale, as a practical solution for screening 3- to 5-year-old children for ASD in medical and public school settings. Methods: Parents/teachers completed the ECI-4 for 3- to 5-year-old clinic referrals with an ASD (n = 196) or non-ASD psychiatric (n = 135) diagnosis. Children attending early childhood (i.e., day care, preschool, Head Start) programs were also rated by their parents (n = 507) and teachers (n = 407). Results: Stepwise logistic regression was used to generate ASD scoring algorithms for the ECI-4. Receiver operating characteristic analyses generally indicated high levels of sensitivity/specificity for recommended ASD cutoff scores for parent (clinic: 0.96/0.80; preschool: 0.92/0.96) and teacher (clinic: 0.81/0.79; preschool: 0.97/0.92) ratings. Conclusion: Findings indicate that the ECI-4 shows promise as a clinically useful screening measure for ASD in clinic-referred and preschool children.
Development and Research of the Text Messages Semantic Clustering Methodology

The methodology of semantic clustering analysis of customer's text-opinions collection is developed. The author's version of the mathematical models of formalization and practical realization of short textual messages semantic clustering procedure is proposed, based on the customer's text-opinions collection Latent Semantic Analysis knowledge extracting method. An algorithm for semantic clustering of the text-opinions is developed, the distinctive characteristics of which is the introduction of concepts and methods of identification point of reference in the scale of text-opinions collection closeness determination, instrument of the documents' closeness degree identification, measure of similarity between pairs of documents. The version of quantitative evaluation of the clustering results is developed. The concepts of resolving power of the method of semantic clustering and level of the clustering procedure quality are proposed. Analysis of the specific features and the effectiveness level of various distance measures is conducted.
Detecting Microblogger's Attitude towards Bursty Events: A Text Chain Model

With the booming of social media, microblogattracts more and more people to discuss public issues andshare their views and opinions. In this paper, we focuson the sentiment analysis in Chinese microblog from theaspect of users. We aim to detect microbloger’s attitude onbursty events by proposing a novel text chain model. Wefirstly formulate the problem of user sentiment analysis.By leveraging the link symbols in contents, we generatemicrblog units and prune to user text chains which will beregarded as a whole in the follow-up process. Then, we useMaxEnt-LDA model to extract target events and opinionwords, and use a lexicon-based model to detect user’sorientation towards a certain atomistic event. Experimentalresults show that our model could detect user’s attitudeseffectively.
Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding

This paper proposes a self-adaptive technique for partial discharge (PD) signal denoising with automatic threshold determination based on ensemble empirical mode decomposition (EEMD) and mathematical morphology. By introducing extra noise in the decomposition process, EEMD can effectively separate the original signal into different intrinsic mode functions (IMFs) with distinctive frequency scales. Through the kurtosis-based selection criterion, the IMFs embedded with PD impulses can be extracted for reconstruction. On the basis of mathematical morphology, an automatic morphological thresholding (AMT) technique is developed to form upper and lower thresholds for automatically eliminating the residual noise while maintaining the PD signals. The results on both simulated and real PD signals show that the above PD denoising technique is superior to wavelet transform (WT) and conventional EMD-based PD de-noising techniques.
The Effect of Burnout Towards Organizational Citizenship Behaviour, Mediated by Job Satsifaction in XYZ Company, Surabaya

The purpose of this research was to investigate the effect of Burnout towards Organizational Citizenship Behavior, mediated by Job Satisfaction in XYZ Company, Surabaya. The data gathered using simple random sampling method and the questionnaires obtained from 80 respondents whom work as permanent employee in XYZ Company. Among 80 Questionnaires obtained, only 70 Questionnaires are valid and able to be analyzed. Then the data being analyzed by Multiple Linear Regression and Tested for mediation. The result shown that Burnout simultaneously and individually having significant impact toward OCB. However in testing for mediation, Job Satisfaction is found out not to be the mediating factor between the relationships of Burnout towards OCB.
International Conference on Engineering and Product Design Education Designing for the Unknown: a Design Process for the Future Generation of Highly Interactive Systems and Products

Highly intelligent systems, products, and related services lie at the core of our department of Industrial Design in Eindhoven. Based on the foundations of our department we identify three implications for the design process; our preferred design process is flexible and open, it values design action as a generator of knowledge and is driven by a student's vision on the design opportunities that are afforded by emerging intelligent technology. We critically reflect on two existing influential paradigms of design methodology, i.e., the 'rational problem solving' process and the 'reflective practice' and find that both paradigms do not comply with our preferred process. They share a sequential approach to gathering information; a formal analysis phase precedes the creative conceptual phase. Moreover, the first paradigm considers design action to be an activity that implements information instead of an activity that generates information. We present an open and flexible reflective transformative design process that highly regards design action as a generator of knowledge next to analysis. Moreover, the process supports students to transform the world, and integrate knowledge, skills and attitudes, next to offering moments of reflection. 1 INTRODUCTION In 2001, the University of Technology Eindhoven started the department Industrial Design. Based on discussions with industry, the department decided to concentrate on the design of intelligent systems, products and related services, which addresses aspects such as adaptive behaviour, context-awareness and highly dynamic interaction. Another striking aspect of the department is the competency-based educational concept. We give students, or 'junior employees' as we call them, a professional role to create solutions within a professional setting. Competency-based learning gives equal weight to knowledge, skills and attitudes, and stimulates students to learn by doing. Within our department, a competency is defined as an individual's ability to select, acquire, and use the knowledge, skills, and attitudes that are required for effective behaviour in a specific professional, social, or learning context. So, it offers a holistic view of design. We noticed that our foundations, i.e., intelligent systems, products and related services, and competency-based learning, have implications for the design process we want to
Die therapeutischen Beziehungen in der Gruppenpsychotherapie

Zusammenfassung Gruppenklima, Kohasion, Allianz und Empathie zahlen zu den zentralen therapeutischen Beziehungskonstrukten innerhalb von Gruppen. Fur jedes dieser Konstrukte wird angenommen, dass es zu einem hilfreichen therapeutischen Klima beitragt und damit die Entwicklung weiterer therapeutischer Prozesse positiv beeinflusst. Es zeigt sich, dass unterstutzende sowie anspruchsvolle Beziehungen innerhalb therapeutischer Gruppen zur Genesung des Patienten und zu geringern Abbruchraten beitragen (Burlingame et al., 2002; Castonguay et al., 1998; Marziali et al., 1997). Dieser Artikel gibt einen Uberblick uber Definitionen sowie uber Ergebnis- und Prozessstudien verbreiteter Beziehungskonstrukte in Gruppentherapien und diskutiertdiese vor dem Hintergrund struktureller Bedingungen der therapeutischen Beziehungen, spezifischer Inhalte sowie methodologischer Sachverhalte. Prozessstudien zu Gruppenklima, Kohasion, Allianz und Empathie machen die enge Verknupfung dieser Beziehungskonstrukte und ahnliche Funktio.
The Effect of Income on Positive and Negative Subjective Well-Being

Increasing evidence from the empirical economic and psychological literature suggests that positive and negative well-being are more than opposite ends of the same phenomenon. Two separate measures of the dependent variable may be needed when analyzing the determinants of subjective well-being. We argue that this conclusion reflects in part the use of too restrictive econometric models. A flexible multiple-index ordered probit panel data model with varying thresholds can identify response asymmetries in single-item measures of subjective well-being. An application to data from the German Socio-Economic Panel for 1984-2004 shows that income has only a minor effect on positive subjective well-being but a large effect on negative well-being.
Utilization of temperature distribution in expiratory speaking flow as a new parameter for speech production analysis

A new instrument with potential use for speech production analysis is utilized in this study to measure the temperature and velocity of the expiratory speaking flow outside the oral cavity. From a physical point of view, the temperature patterns of individuals with healthy voices are expected to be different from individuals with breathy voices, since their air flow patterns are different: during breathy speech production, the glottis does not close completely, and the leakage of warm air through the glottis increases the extent of the hotter-than-ambient temperature field outside the oral cavity. The instrument is a pipe through which the tested individual breathes out while producing a sustained vowel. A tap water heat exchanger keeps the pipe wall at a temperature level considerably lower than the body temperature. The temperature gradient along the pipe centreline is measured and related to the average air velocity at the oral cavity. The measurements were performed in 30 male and 30 female subjects without vocal complaints. The objective of this initial investigation was to evaluate the possibility of establishing patterns of normality for the temperature distribution outside the oral cavity in expiratory speaking flow. In the experiments, all the temperature measurements increased as the expiratory air flow of the individual increased during speech production, therefore the instrument results agree with the physical behavior predicted by fluid mechanics and heat transfer principles. The collected data allowed for the construction of charts with two distinct normalized temperature distributions outside the oral cavity, for male and female individuals, respectively. These charts have the potential for future utilization in a follow-up study for comparison with similar measurements obtained with individuals with vocal fold pathologies, aiming to eventually produce a reliable new instrument for early detection of vocal problems through a non-invasive procedure.
Lightweight comparison of RNAs based on exact sequence–structure matches

Motivation: Specific functions of ribonucleic acid (RNA) molecules are often associated with different motifs in the RNA structure. The key feature that forms such an RNA motif is the combination of sequence and structure properties. In this article, we introduce a new RNA sequence–structure comparison method which maintains exact matching substructures. Existing common substructures are treated as whole unit while variability is allowed between such structural motifs. Based on a fast detectable set of overlapping and crossing substructure matches for two nested RNA secondary structures, our method ExpaRNA (exact pattern of alignment of RNA) computes the longest collinear sequence of substructures common to two RNAs in O(H·nm) time and O(nm) space, where H ≪ n·m for real RNA structures. Applied to different RNAs, our method correctly identifies sequence–structure similarities between two RNAs. Results: We have compared ExpaRNA with two other alignment methods that work with given RNA structures, namely RNAforester and RNA_align. The results are in good agreement, but can be obtained in a fraction of running time, in particular for larger RNAs. We have also used ExpaRNA to speed up state-of-the-art Sankoff-style alignment tools like LocARNA, and observe a tradeoff between quality and speed. However, we get a speedup of 4.25 even in the highest quality setting, where the quality of the produced alignment is comparable to that of LocARNA alone. Availability: The presented algorithm is implemented in the program ExpaRNA, which is available from our website (http://www.bioinf.uni-freiburg.de/Software). Contact: {exparna@informatik.uni-freiburg.de,backofen@informatik.uni-freiburg.de} Supplementary information: Supplementary data are available at Bioinformatics online.