Miracle-dz/UniFAR-FTUs huggingface dataset:
Parenting Skills and Social–Communicative Competence in Childhood

The ways that children implement social and communication skills in peer-group interaction [provide the foundation for successful later life adjustment (Rubin, Bukowski, & Parker, 1998). Research findings suggest that a host of variables are involved (Hart, Olsen, Robinson, & Mandelco, 1997). These include family processes involving marital and sibling relationships, parenting (e.g., Dunn, 2002; Hart, Nelson, et al., 2000; Stafford and Bayer, 1993), biologically based genetic and temperament factors (e.g., Pike, 2002; Plomin and Rutter, 1998; Sanson, Hemphill, & Smart, 2002), and extrafamilial influences, including the peer group, schools, media, and culture (e.g., Hart, Yang, Nelson, Jin, & Nelson, 1998; Howes and James, 2002; Ladd, Buhs, & Troop, 2002; McDougall, Hymel, Vaillancourt, & Mercer, 2001). The focus of this chapter is on parenting linkages to social and communicative skill outcomes in children during early and middle childhood. Our aims are threefold. First, we conceptualize the nature of social and communicative skills that lend themselves to peer-group success across early and middle childhood. The practical significance of these skills for psychological adjustment and the consequences of low skill development are discussed. Second, parenting skills that can enhance or diminish the formation of child competencies are considered, as are the complex interplay between nature and nurture that results in individual differences among children. We take issue with recent arguments suggesting that parents matter little in children’s development (Harris, 1998; 2000; 2002). Third, we overview intervention studies that are designed to enhance parenting skills and child competencies and that may result in subsequent changes in child social and communicative outcomes.
Stem Cell Reports, Volume 1 Supplemental Information App Processing in Human Pluripotent Stem Cell-derived Neurons Is Resistant to Nsaid-based -secretase Modulation Supplementary Figure S1: Characterization of Alzheimer Patient-derived Ipsc Lines Supplementary Figure S2: Primary Gsm Screen on Hesc-

(related to Figure 1). Relates to main figure 1 and shows additional characterization of AD patient-derived iPSC lines and their neuronal differentiation. Shows the initial screen for GSMs in high concentrations on hESC-derived neurons and thus relates to the main figure 2. Supplementary Figure S3: Low concentrations of NSAID-based GSMs are ineffective in human neurons (related to Figure 3). Shows detailed information on the concentration dependency of GSMs in different cell systems as well as control experiments that all relate to the main figure 3.
cc sd-0 01 05 81 2 , v er si on 1-1 2 O ct 2 00 6 Unconventional motional narrowing in the optical spectrum of a semiconductor quantum dot

Motional narrowing refers to the striking phenomenon where the resonance line of a system coupled to a reservoir becomes narrower when increasing the reservoir fluctuation. A textbook example is found in nuclear magnetic resonance, where the fluctuating local magnetic fields created by randomly oriented nuclear spins are averaged when the motion of the nuclei is thermally activated. The existence of a motional narrowing effect in the optical response of semiconductor quantum dots remains so far unexplored. This effect may be important in this instance since the decoherence dynamics is a central issue for the implementation of quantum information processing based on quantum dots. Here we report on the experimental evidence of motional narrowing in the optical spectrum of a semiconductor quantum dot broadened by the spectral diffusion phenomenon. Surprisingly, motional narrowing is achieved when decreasing incident power or temperature, in contrast with the standard phenomenology observed for nuclear magnetic resonance. In the seminal work on motional narrowing by Bloem-bergen et al., relaxation effects in nuclear magnetic resonance were beautifully explained by taking into account the influence of the thermal motion of the magnetic nu-clei upon the spin-spin interaction [1]. The general treatment of relaxation processes for a system interacting with a reservoir was later formulated by Kubo in a stochastic theory that assumes random perturbations of the system by a fluctuating environment [2]. Depending on the relative magnitude of the spectral modulation amplitude and the inverse of the modulation correlation time, the relaxation dynamics is either in the slow modulation limit, where the optical line-shape reflects directly the statistical distribution of the different system energies, or in the fast modulation limit where the fluctuation is smoothed out and the line-shape is motionally narrowed into a Lorentzian profile. The relevance of motional narrowing for the description of relaxation phenomena has spread throughout many different fields, such as spin relaxation in semiconductors [3], vibrational dephasing in molecular physics [4], or phase noise in optical pumping [5]. The optical spectrum of a material system with localized , zero-dimensional electronic states provides a generic example of the influence of a fluctuating environment on the coherence relaxation dynamics. In that case, the perturbing interactions induce a stochastic shift over time of the optical spectrum, resulting in the so-called spectral diffusion effect, which was observed for rare-earth ions [6], molecules [7], or semiconductor quantum dots [8, 9]. In this latter system, impurities, defects or localized charges …
ITU Validation Set for Metu-Sabancı Turkish Treebank

This paper presents the ITU Turkish Dependency Validation Set firstly introduced in 2007 [36] in order to serve as the test set of the CoNLL-XI shared task (shared task of the Conference on Computational Natural Language Learning 2007 [28] ). The dataset is available from http://web.itu. edu.tr/gulsenc/treebanks.html and is used by several academic studies so far.
Motivations and influences in Chinese international doctoral students’ decision for STEM study abroad

Abstract Despite China’s recent remarkable performance in high-quality research, the number of students going abroad to pursue doctoral degrees in STEM fields has been rising rapidly. This study investigates the motivations of Chinese international doctoral students (CIDS) in STEM fields for undertaking a PhD abroad, and the external factors influencing this major life decision. Based on in-depth interviews with 35 CIDS from seven universities in four Australian states, the findings show that for the current generation, enriching life experiences and self-cultivation emerged as most prominent personal motivations. The choice to study abroad, though ultimately a personal decision, was influenced by a range of factors and particularly long-term cooperation between host and home institutions. Both academic and personal reputation of supervisors played important roles in the selection of host institutions. This study may be of value to supervisors and higher education policy-makers, at institutional and government levels in all countries, whether “home” or “host”, invested in sustainable international doctoral education.
Formal verification of G-PAKE using Casper/FDR2: Securing a group PAKE protocol using Casper/FDR2

Research in security of ad hoc networks consists mainly of classifications and new protocol propositions. But formal verification should also be used in order to be able to prove the properties intended for the protocols. In this paper we present our work in formally verifying the group password-based authenticated key exchange protocol proposed in 2000 by Asokan and Ginzboorg. The proposition is rather old, but in the last years the research community focused only on two-party PAKE protocols, giving very little attention to group PAKE protocols. With the help of Casper and FDR2 we prove that G-PAKE does not accomplish the specifications given by the authors. Based on our results we proposed an improved version that we validated through model checking.
Humanoid kinematics mapping and similarity evaluation based on human motion capture

The captured data must be adapted for the humanoid because its kinematics and dynamic differ from those of the human actor. The kinematics constraints such as ground contact conditions are crucial for humanoid locomotion. Furthermore, it is desirable that the humanoid motion have of high similarity with those of the human actor. In this paper, first the similarity function of the humanoid motion is proposed. Then, the kinematics constrains including ground contact conditions are formulated, and the algorithm to derive the humanoid motion with a high similarity and satisfying kinematics constraints is present. Finally, the effectiveness is confirmed by the experiment of Chinese Kongfu "Taiji" using our developed 33 DOF humanoid robot.
Physiological ageing described by genome-wide expression trends

Biomedical research uses gene expression in order to understand biological processes and diseases. The level of gene expression is subject to change during the lifetime of an individual and this deregulation can reflect ageing-associated disorders and decline in physical ability. By studying the genome-wide expression trends of the human genes, underlying age-associated molecular processes may be identified and further understood. To perform an adequate analysis, different data mining and pattern recognition concepts are to be applied in the data processing. This paper describes a step-by-step methodology developed to perform longitudinal gene expression microarray dataset analysis in order to identify such age-associated expression trends and determine their biological functionality. The analysis was performed on healthy skeletal muscle tissue samples and validated on several other tissues obtained from non chronically ill individuals. Significant ageing-associated gene clusters were identified as a result of the study.
Under Consideration for Publication in Theory and Practice of Logic Programming a Goal-directed Implementation of Query Answering for Hybrid Mknf Knowledge Bases

Ontologies and rules are usually loosely coupled in knowledge representation formalisms. In fact, ontologies use open-world reasoning while the leading semantics for rules use non-monotonic, closed-world reasoning. One exception is the tightly-coupled framework of Minimal Knowledge and Negation as Failure (MKNF), which allows statements about individuals to be jointly derived via entailment from an ontology and inferences from rules. Nonetheless, the practical usefulness of MKNF has not always been clear, although recent work has formalized a general resolution-based method for querying MKNF when rules are taken to have the well-founded semantics, and the ontology is modeled by a general oracle. That work leaves open what algorithms should be used to relate the entailments of the ontology and the inferences of rules. In this paper we provide such algorithms, and describe the implementation of a query-driven system, CDF-Rules, for hybrid knowledge bases combining both (non-monotonic) rules under the well-founded semantics and a (monotonic) ontology, represented by a CDF Type-1 (ALCQ) theory.
Sania: Syntactic and Semantic Analysis for Automated Testing against SQL Injection

With the recent rapid increase in interactive Web applications that employ back-end database services, an SQL injection attack has become one of the most serious security threats. The SQL injection attack allows an attacker to access the underlying database, execute arbitrary commands at intent, and receive a dynamically generated output, such as HTML Web pages. In this paper, we present our technique, Sania, for detecting SQL injection vulnerabilities in Web applications during the development and debugging phases. Sania intercepts the SQL queries between a Web application and a database, and automatically generates elaborate attacks according to the syntax and semantics of the potentially vulnerable spots in the SQL queries. In addition, Sania compares the parse trees of the intended SQL query and those resulting after an attack to assess the safety of these spots. We evaluated our technique using real-world Web applications and found that our solution is efficient in comparison with a popular Web application vulnerabilities scanner. We also found vulnerability in a product that was just about to be released.
Correlates and outcomes of emotional intelligence in organisations

Emotional Intelligence and Leadership are two very important constructs to organizations. Likewise concepts like OCB, conflict handling and intention to quit of employees are equally important constructs to organizations. The primary aim of the present study was to determine how well Organisational Citizenship Behaviour and intention to quit as well as the conflict handling style of subordinates could be predicted by means of leadership style, and the emotional intelligence of leaders. A secondary aim was to determine whether a causal model could be built to represent the relationships among the variables included in the study. Relationships among these constructs were investigated in a South African sample of employees (N=470) working for various organisations. The construct validity and internal consistency of the measuring instruments were investigated. The finally accepted factor structure of not one of the measuring instruments matched the original structure as found by the authors/developers of the measuring instruments. It was therefore decided that in all cases the factor pattern as determined on the responses of the present sample would be used in further analyses of the data. Emotional intelligence of leaders as seen by subordinates and the self perceived conflict handling styles of subordinates seem to be related in the case of Integrating and Obliging conflict handling styles and both the emotional intelligence sub-scales, i.e. Motivation and Vigilance. The Multiple Regression analysis indicated that the emotional intelligence sub-scales scores played a minor role in the prediction of Organizational Citizenship Behaviour. Models of the relationships among the variables were built by studying the results of
The Effect of Health Information on Cigarette Consumption: Evidence from British Panel Data

This paper presents and tests a model of cigarette consumption which mixes two types of intertemporal dependencies : habit-formation and learning about the health conseqences of smoking. This latter is argued to result from the observation of health developments, both one's own and those of other smokers in the same household. Using seven waves of British Household Panel Survey data, we present results consistent with habit-formation, but joint with learning about smoking's health risks. We find some effect from the individual's own health developments, but little effect from health developments amongst other smokers. Public health policy may therefore have a greater impact on smokers' behaviour through the delivery of personalised health information, for example through the medical profession, than through impersonal information provision, such as advertising campaigns.
Emergence and Prevalence of Human Vector-Borne Diseases in Sink Vector Populations

Vector-borne diseases represent a major public health concern in most tropical and subtropical areas, and an emerging threat for more developed countries. Our understanding of the ecology, evolution and control of these diseases relies predominantly on theory and data on pathogen transmission in large self-sustaining ‘source’ populations of vectors representative of highly endemic areas. However, there are numerous places where environmental conditions are less favourable to vector populations, but where immigration allows them to persist. We built an epidemiological model to investigate the dynamics of six major human vector borne-diseases in such non self-sustaining ‘sink’ vector populations. The model was parameterized through a review of the literature, and we performed extensive sensitivity analysis to look at the emergence and prevalence of the pathogen that could be encountered in these populations. Despite the low vector abundance in typical sink populations, all six human diseases were able to spread in 15–55% of cases after accidental introduction. The rate of spread was much more strongly influenced by vector longevity, immigration and feeding rates, than by transmission and virulence of the pathogen. Prevalence in humans remained lower than 5% for dengue, leishmaniasis and Japanese encephalitis, but substantially higher for diseases with longer duration of infection; malaria and the American and African trypanosomiasis. Vector-related parameters were again the key factors, although their influence was lower than on pathogen emergence. Our results emphasize the need for ecology and evolution to be thought in the context of metapopulations made of a mosaic of sink and source habitats, and to design vector control program not only targeting areas of high vector density, but working at a larger spatial scale.
Knowledge-Sharing Dilemmas

The exchange of information among organizational employees is a vital component of the knowledge-management process. Modem information and telecommunication technology is available to support such exchanges across time and distance barriers. However, organizations investing in this type of technology often face difficulties in encouraging their employees to use the system to share their ideas. This paper elaborates on previous research, suggesting that sharing personal insights with one's co-workers may carry a cost for some individuals which may yield, at the aggregate level, a co-operation dilemma, similar to a public-good dilemma. A review of the research on different types of public-good dilemmas provides some indications of the specific interventions that may help organizations encourage the kind of social dynamics that will increase overall knowledge sharing. These interventions can be classified into three categories: interventions aimed at restructuring the pay-offs for contributing, those that try to increase efficacy perceptions, and those that make employees' sense of group identity and personal responsibility more salient.
Socioeconomic Status and Number of Children Among Korean Women: The Healthy Twin Study

Objectives This study aimed to evaluate whether the birth rate is associated with socioeconomic status in the women of the Republic of Korea, where the birth rate is rapidly decreasing. Methods This study included 732 females from the Healthy Twin Study, a family-twin cohort. The participants were classified into 3 socioeconomic groups according to their average income, education, and occupation. The association between socioeconomic status and number of children was assessed using gamma regression analysis with a generalized linear mixed model, adjusting for the age group, smoking/alcohol status, and family relationships. Results The group with the highest education level had significantly fewer children compared with the group with the lowest education level (p=0.004). However, no significant associations were found according to household income level. The non-manual labor group had significantly fewer children compared with those working as homemakers (p=0.008). Conclusions This study aimed to explain the causal relationship between socioeconomic status and number of children. Associations between some socioeconomic status and number of children were found in Korea.
Indoor localisation system based on low-cost commodity hardware

Pervasive indoor positioning is a key enabler for ubiquitous computing. Although a number of indoor positioning systems exist, we identify that there still is a barrier between these and the consumer. There is a need for a cost-effective, practical solution that can be easily designed, built, tested and deployed. We have built a low-cost indoor positioning system with off-the-shelf commodity hardware, to provide an example of an accessible ubiquitous platform for developers, academia, private individuals, big and small companies and institutions. The system is low-power, modular, performs auto-calibration, can track any WiFi-enabled device and can be used for other applications alongside indoor positioning.
Computationally sound compositional logic for key exchange protocols

We develop a compositional method for proving cryptographically sound security properties of key exchange protocols, based on a symbolic logic that is interpreted over conventional runs of a protocol against a probabilistic polynomial-time attacker. Since reasoning about an unbounded number of runs of a protocol involves induction-like arguments about properties preserved by each run, we formulate a specification of secure key exchange that is closed under general composition with steps that use the key We present formal proof rules based on this game-based condition, and prove that the proof rules are sound over a computational semantics. The proof system is used to establish security of a standard protocol in the computational model
Methods for Fitting Rational Approximations, Parts II and III

Preface. Dr. Hans J. Maehly died on the 16th of November, 1961. Just six weeks before his untimely death, Dr. Maehly had joined the Applied Mathematics Division of Argonne National Laboratory. Before turning to new problems, he planned to complete the publication of his results on rational approximations. These results were obtained from 1958 to 1960 under Contract Nonr 2406 (00) of the Bureau of Ships and its Applied Mathematics Laboratory, David Taylor Model Basin, with Princeton University. In particular, he planned a series of publications on "Methods for Fit t ing Rational Approximations. " This series was to consist of three parts: Part I, Telescoping Procedures for Continued Fractions; Par t II , Direct Methods; and Part I I I , Indirect Methods. Part I was published in this Journal [8]. Dr. Maehly had iust started to write Par t I I when death interrupted his work. Dr. Maehly's interest in Chebyshev-approximations had been stimulated by the work of C. Hastings [3], F. D. Murnaghan and J. W. Wrench [12,13]. Simultaneously with W. Barth [2] and others, these authors gave versions of E. Remes' [14] "second algorithm" (1934) for the approximation by polynomials. Inspired by the great convergence power of continued fractions, Dr. Maehly was mainly concerned with developing algorithms for approximation by general rational functions. Following a suggestion of his scientific associate, Dr. K. Arbenz, he developed in 1959 a new approach which deviates from Remes' scheme of characterizing the error curve by its extrema (Part II , Section 9). Other significant contributions by Dr. Maehly to the subject of rational approximations include "telescoping" of continued fractions (Part I) , and the "indirect" methods (Part I I I ) , which use single-precision arithmetic to produce multi-precision approximations. The writer is honored by the invitation of Argonne National Laboratory to prepare the posthumous publication of Parts I I and I I I of the series mentioned above, and he wishes to acknowledge the generous support he received while undertaking this task. In preparing the manuscript he cnj oyed the help of Dr. R. F. King, assistant director of the Applied Mathematics Division. The writer is indebted to Dr. H. C. Thacher, Jr. and C. Mesztenyi for their valuable criticisms and suggestions. The source material on which this publication is based consists of a series of Internal Reports concerning the Princeton-ONR project and a rough draft by Dr. Maehly of the introduction and first section of Par t II . In addition, the writer had the benefit of many discussions with Dr. Maehly while working with him at Princeton on rational approximations. These discussions conveyed a fair idea of how he planned to write his series. Although some of his later refinements cannot be retrieved for lack of documentation, it is hoped that the following presentation provides a reasonably complete account of Dr. Maehly's important work on methods for rational approximations.