Miracle-dz/UniFAR-FTUs huggingface dataset:
Social and individual antecedents of adolescent-onset conduct problem behaviour

The central aim of this chapter is to examine the developmental patterns of Dutch adolescents’ conduct problem involvement. Using the definition provided in Fergusson et al . (2011), “conduct problems include a spectrum of antisocial, aggressive, dishonest, delinquent, defiant, and disruptive behaviours” (p.42), thus embrace a greater variety of behaviours than delinquency, which describes usually juvenile and often minor violations of the law. The current Diagnostic and Statistical Manual of Mental Disorders (DSM-V; American Psychiatric Association, 2013) provides specific examples of conduct problem behaviours such as bullying or threatening others, cruelty to humans or animals, mugging, forced sexual activity (category aggressive behaviours), deliberate fire setting or otherwise destroying someone else’s property (category destructive behaviour), breaking in, lying to obtain goods, and substantial theft (category deceitful behaviour), and frequently running away from home and being truant (category rule violations). Clinical conduct disorder is diagnosed when a child or adolescent has shown three or more of these symptoms repeatedly during the past year. Indeed, diagnosed youngsters have often shown behavioural problems from a very early age already. The future of those individuals does not look rosy as high levels of conduct problems can place individuals at risk for maladjustment and health problems, low educational attainment and welfare dependence (Farrington et al ., 1990; Kretschmer et al ., 2013; Moffitt et al ., 1996; Robins and Price, 1991). Clinical diagnoses of conduct disorder refer to the most severe cases but will not apply to the large group of children and adolescents who infrequently or for a short amount of time engage in minor forms of conduct problem behaviour. These youngsters differ from the severe group particularly in level and variety of behaviours but have mostly been distinguished by age of onset. In other words, while only a small proportion of individuals show conduct problems in childhood and continue to do so as they grow older, an onset in adolescence and subsequent determination of conduct problem behaviour in early adulthood has been discussed as common, normative and even more adaptive than complete abstention (Moffitt, 1993, 2006). Thus, two distinct developmental trajectories – early-onset (life-course) persistent (EOP/LCP) and adolescent-limited/ adolescent-onset (AL/AO) – appear to describe the course of conduct problems in two different groups of individuals, whereas a third group appears to abstain. The aim of this study was to test 11
Evolving enterprise architectures for digital transformations

: The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. This disruptive change interacts with all information processes and systems that are important business enablers for the digital transformation since years. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent user-centered and social community systems. They will shape future trends of business innovation and the next wave of information and communication technology. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented enterprise architectures. The present research investigates mechanisms for flexible adaptation and evolution of Digital Enterprise Architectures in the context of integrated synergistic disciplines like distributed service-oriented Architectures and Information Systems, EAM - Enterprise Architecture and Management, Metamodeling, Semantic Technologies, Web Services, Cloud Computing and Big Data technology. Our aim is to support flexibility and agile transformations for both business domains and related enterprise systems through adaptation and evolution of digital enterprise architectures. The present research paper investigates digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems.
Metabotropic Glutamate 7 Receptor Subtype Modulates Motor Symptoms in Rodent Models of Parkinson's Disease

Metabotropic glutamate (mGlu) receptors modulate synaptic transmission in the central nervous system and represent promising therapeutic targets for symptomatic treatment of Parkinson's disease (PD). Among the eight mGlu receptor subtypes, mGlu7 receptor is prominently expressed in the basal ganglia, but its role in restoring motor function in animal models of PD is not known. The effects of N,N′-dibenzhydrylethane-1,2-diamine dihydrochloride (AMN082), the first selective allosteric activator of mGlu7 receptors, were thus tested in different rodent models of PD. Here, we show that oral (5 mg/kg) or intrastriatal administration (0.1 and 0.5 nmol) of AMN082 reverses haloperidol-induced catalepsy in rats. AMN082 (2.5 and 5 mg/kg) reduces apomorphine-induced rotations in unilateral 6-hydroxydopamine (6-OHDA)-lesioned rats. In a more complex task commonly used to evaluate major akinetic symptoms of PD patients, 5 mg/kg AMN082 reverses the increased reaction time to respond to a cue of bilateral 6-OHDA-lesioned rats. In addition, AMN082 reduces the duration of haloperidol-induced catalepsy in a mGlu7 receptor-dependent manner in wild-type but not mGlu7 receptor knockout mice. Higher doses of AMN082 (10 and 20 mg/kg p.o.) have no effect on the same models of PD. Overall these findings suggest that mGlu7 receptor activation can reverse motor dysfunction associated with reduced dopamine activity. Selective ligands of mGlu7 receptor subtypes may thus be considered as promising compounds for the development of antiparkinsonian therapeutic strategies.
A Definition of Design and Its Creative Features

In this paper, the authors discuss the nature and perspective of “design theoretics. ” First, the necessity of discussing the notions associated with design is addressed because the word “design” is becoming increasingly popular in society, and thus gaining in importance. The ability to consider a particular concept (object) from the perspective of design is identified as designing ability. The authors classified design into three categories: drawing, problem solving, and ideal pursuing. On the basis of these categories, design is defined as “the process of composing a desired figure toward the future. ” Lastly, the authors discuss a method of researching design and address the importance of pursuing the ideal design process. The definition of design formulated by this study will undoubtedly contribute toward encouraging further discussion on the notion of design, and thus serve to clarify it.
An easier approach to visible edge determination from moving viewpoint

In this paper, we present an algorithm for visible edge determination from moving viewpoint in 2D-space by an easier approach. We show implementation details and performance analysis of the algorithm to justify the efficiency and correctness of the proposed algorithm. The time complexity of the algorithm is O(n2) in the worst case but we hope time complexity can be reduced practically because of the effective optimization in case of sorting angularly and finding intersection of points in a fixed range. Further modification of this algorithm is expected to determine the visible surface from moving perspective yielding the near optimal solution in 3D-space.
İlköğretim Okul Müdürlerinin Öğretimsel Liderlik Davranışlarının Etkililiği Ölçeğinin Geliştirilmesi

Bu calismada, yoneticilerin ogretimsel liderlik davranislarinin yeni (2005) ilkogretim mufredatinin uygulanmasindaki etkililik duzeyini belirlemek amaciyla, egitimci gorusleri temelinde bir olcek gelistirmek amaclanmistir. Bunun icin once, ilgili alan yazindan ve okullarda gorev yapan ogretmen ve yoneticilerle yapilan gorusmelerdeki izlenimlerden yararlanilarak, liderlik ve yeni ilkogretim mufredatinin uygulanmasina iliskin besli likert tipi olumlu ifadelerden olusan 60 madde gelistirilmistir. Bu olcek, Afyonkarahisar il merkezindeki ilkogretim kurumlarinda gorev yapan ogretmenlere uygulanmistir. Afyonkarahisar’da bulunan her egitim bolgesinden rastgele yontemle secilen ilkogretim okullarina anket dagitilmis ve toplam olarak donen anket sayisi 120 olmustur. Anket maddelerine verilen yanitlara gore olcegin Cronbach Alpha ic tutarlik katsayisi . 98 olarak bulunmustur. Olcegin KMO degeri . 93 Bartlett testi ise 7133.66 olarak bulunmustur. Olcek tek boyutlu bir olcek olup, okul yoneticilerinin ogretimsel liderlik davranislarinin yeni ilkogretim programin uygulanmasina iliskin tutum ve davranislarini olcmektedir.
Introducing ATM in the Internet

This work provides a survey of the main approaches proposed so far by both standardization bodies and manufacturers, for the exploitation of ATM technology into the Internet. The integration level between the ATM and IP protocols is used as the driving thread in the presentation: solutions conforming to the overlay model, which considers ATM as a data-link technology over which IP packets are sent, are considered first. Then, solutions providing various levels and flavors of integration are taken into account. In the characterization of each approach we focus on its ability to provide guaranteed quality of service. Area di interesse: ATM e Internet
Experiments in Applying Information Flow Analysis in Query Expansion

In recent literature there have been a number of promising approaches proposed for estimating query language models Lavrenko & Croft estimate the query language model in terms of a Relevance Model [6]. The query Q is considered to be a random sample from the unknown relevance model R. R can be envisaged as a unknown process from which words can be sampled, so if query terms m q q , , 1 K have been sampled, what is the probability of term w will be sampled next. Essentially this model approximates the probability of observing w in the relevant set by the probability of co-occurrence between w and Q. They stated that “from a traditional IR perspective, our method is a massive query expansion technique”.
Chip-Level DS-CDMA Downlink Interference Suppression With Optimized Finger Placement

In direct-sequence code-division multiple-access (DS-CDMA) downlink, multiaccess interference arises due to the loss of orthogonality of the spreading codes for each user in frequency-selective channels. We analyze the receiver structure where a linear combiner with a RAKE structure is used. A generic model is developed to account for arbitrary finger placement, which allows many CDMA downlink linear receivers to be treated as special cases. For fixed finger placement, we derive the optimal weights for the receiver under both chip-level and symbol-level criteria. We show that the weights designed to minimize the chip mean-square error (MSE) also maximizes the output symbol signal-to-interference-noise ratio (SINR) and differs only by a scaling factor from the weights that minimizes the symbol MSE. The performance of the receiver depends heavily on the finger placement scheme. We propose two strategies for finger placement design. The first one is analytical and is based on the sampling design theory. It gives the optimal finger placement in an asymptotic sense as the number of fingers becomes large and sheds important light on how the performance of the system depends on the number of fingers and the smoothness of the underlying chip pulse waveform. The other design is numerical and is based on a greedy search algorithm. An efficient recursive algorithm is developed to reduce the computational complexity associated with the search. For Rayleigh-fading channels, numerical results show that both design schemes achieve significantly better performance than uniformly spaced finger placement with the same number of fingers, or achieve performance similar to that of uniformly spaced finger placement but with a much smaller number of fingers
The relationship between sensation seeking, psychopathy, and deception

Psychopathy has many implications for society at large. These individuals are likely to commit violent crimes, manifest other antisocial behavior, and make up a large portion of the prison population. This study aims to establish a relationship between sensation seeking, psychopathy, and deception. A sample of 100 undergraduate students enrolled in psychology courses in a southern university completed three questionnaires assessing their level of sensation seeking (SSS-V), deception (MACH-IV), and psychopathy (TriPM). Each of the three distinct phenotypic constructs measured by the TriPM were also correlated with total SSS-V and MACH-IV scores. Pearson and Spearman correlations revealed significant relationships between TriPM and MACH-IV (rho = .28, r = .288, p = .01); TriPM and SSS-V (rho = .583, r = .587, p = .01); MACH-IV and SSS-V (rho = .201, r = .247, p = .05). Pearson correlations revealed TriPM phenotypic construct relationships with SSS-V and MACH-IV as well. Meanness was related to MACH-IV (r =.457, p = .01) and SSS-V (r = .457, p = .01). The relation between Disinhibition and MACH-IV (r = .287, p = .01) and SSS-V (r = .324, p = .01). Boldness was significantly related to SSS-V (r = .428, p = .01), but was not related to the MACH-IV (r = -.102). Implications from this study could serve to further research in understanding the precursors and correlations of psychopathy and may allow the identification of this mental disorder in its early stages so that an effective treatment regime may be established.
Combined articulatory and auditory processing for improved speech recognition

In this paper, we examined the feasibility of articulatory phonetic inversion (API) conditioned on the auditory qualities for improved speech recognition. And we introduced an efficient data-driven heuristic learning algorithm to capture the articulatory-phonetic features (APFs) of English speech. Then we reported the performance of the combined auditory and articulatory processing methods in the inversion and recognition experiments. Firstly, at the front end, the auditory based bark-frequency cepstral coefficient (BFCC) obtained equivalent or higher accuracy compared to the mel-frequency cepstral coefficient (MFCC). Secondly, the use of APFs also significantly altered the phoneme error patterns compared to the purely acoustic features, and they displayed advantages over the canonical pseudo-articulatory features (PAFs) which are manually derived from the phonological rules. The observations support our view that the combinational use of auditory and articulatory cues is beneficial for speech pattern classification. And the proposed neural based API model qualifies as a competitive candidate for profound phoneme recognition with salient features such as generality and portability.
41 Electronic Business and Education

In this chapter, we present the basic concepts of electronic business in general and in the context of educational settings. Individuals and organizations entering Electronic Education Markets must perform a careful analysis of needs, requirements, and potential benefits. We identify critical success factors and decision criteria for such projects. From a technological perspective, the main success factor is the interoperability of Electronic Markets and the participants' systems. We provide a solution using XML-based standard specifications for trade processes and educational processes. The proposed architecture ensures the interchange of data and processes on Electronic Education Markets resulting in a framework for future developments.
Non-parametric data-dependent estimation of spectroscopic echo-train signals

This paper proposes a novel non-parametric estimator for spectroscopic echo-train signals, termed ETCAPA, to be used as a robust and reliable first-approach-technique for new, unknown, or partly disturbed substances. Exploiting the complete echo structure for the signal of interest, the method reliably estimates all parameters of interest, enabling initial estimates for the identification procedure to follow. Extending the recent dCapon and dAPES algorithms, ETCAPA exploits a data-dependent filter-bank formulation together with a non-linear minimization to give a hitherto unobtained non-parametric estimate of the echo train decay. The proposed estimator is evaluated on both simulated and measured NQR signals, clearly showing the excellent performance of the method, even in the case of strong interferences.
Contact Reduces Immigration-Related Fears for Leftist but Not for Rightist Voters

How does contact with nonnatives affect immigration-related fears? While there is strong general support for the argument that intergroup contact decreases intergroup prejudice and fear, previous research arrives at mixed conclusions when applying this argument to the study of natives’ attitudes toward immigrants. We propose that people’s preexisting partisan affinities condition the effect of contact, which may explain the mixed findings. Building on the literature on motivated reasoning, we argue that contact reduces immigration-related threats among leftist voters, but have a threat-increasing or no effect among rightist voters. We find support for our argument using original surveys conducted in two very different contexts: the United States and Germany.
Cost-Aware Client-Side File Caching for Data-Intensive Applications

Parallel and distributed file systems are widely used to provide high throughput in high-performance computing and Cloud computing systems. To increase the parallelism, I/O requests are partitioned into multiple sub-requests (or `flows') and distributed across different data nodes. The performance of file systems is extremely poor if data nodes have highly unbalanced response time. Client-side caching offers a promising direction for addressing this issue. However, current work has primarily used client-side memory as a read cache and employed a write-through policy which requires synchronous update for every write and significantly under-utilizes the client-side cache when the applications are write-intensive. Realizing that the cost of an I/O request depends on the struggler sub-requests, we propose a cost-aware client-side file caching (CCFC) strategy, that is designed to cache the sub-requests with high I/O cost on the client end. This caching policy enables a new trade-off across write performance, consistency guarantee and cache size dimensions. Using benchmark workloads MADbench2, we evaluate our new cache policy alongside conventional write-through. We find that the proposed CCFC strategy can achieve up to 110% throughput improvement compared to the conventional write-through policies with the same cache size on an 85-node cluster.
Sentence Comprehension Ability and Working Memory Capacity as a Function of Syntactic Structure and Canonicity in 5- and 6-Year-Old Children

643 This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2017 Korean Academy of Speech-Language Pathology and Audiology Sentence Comprehension Ability and Working Memory Capacity as a Function of Syntactic Structure and Canonicity in 5and 6-Year-Old Children
Image annotation based on manifold structure by fusion of multiple dissimilarity spaces

Automatic image annotation has been an active research topic in recent years due to its potential impact on both image understanding and web image retrieval. In many situations the similarity between two image feature vectors could not be found correctly by the Euclidean distance between feature vectors. The purpose of this study is to reduce the semantic gap in automatic image annotation by learning the intrinsic structure collectively revealed by known labeled and unlabeled images.We learn a semantical dissimilarity graph based on fusion of dissimilarities in multiple spaces. The experiments showed that the geodesic distances between the samples on the learned manifold structure are closer to their semantic distance. So, the continuity between the instances of a semantic at the semantic space is kept in manifold space. The proposed method has been compared to the other well-known approaches by Corel data set. The results confirmed the effectiveness and validity of the proposed method.
Glass-like thermal transport in symmetry-broken clathrates

We present the quantitative interpretation for the glass-like behavior of thermal conductivities κ(T) for type-I clathrate compounds involving off-centered guest ions. It is shown that the dipole-dipole interaction generated in cage/guest-ion systems is crucial to reproduce the characteristics of thermal conductivities for these symmetry-broken clathrates. The above scenario also explains well the difference of κ(T) between the p-type and the n-type β-BGS found recently by K. Suekuni et al. (Phys. Rev. B, 77 (2008) 235119. )
A comparison of linear discriminant analysis and ridge classifier on Twitter data

This document is about the accuracy analysis of two of the most prominent classifiers present in today's academic arena. Classifiers are being used extensively in machine learning applications today and need to present a high rate of success to be considered useful. Tikhonov regularization incorporated within the Ridge Classifier is the basis for its classification. It utilises the LevenbergMarquardt algorithm for non-linear least-squares problems to classify objects. Linear Discriminant Analysis, on the other hand, utilises aspects of ANOVA[2,3] and regression analysis. LDA works by getting explicit information from the user. It needs the definition of the variables — both dependent and independent. It doesn't use any implicit assumptions in its modelling. There is no interconnection between the two variables initially. Using these two classifiers we compare their effectiveness at mapping a set of data scraped in real-time from Twitter to its corresponding generalised hashtag, and suggest why the differences, if any, arise.
What TripAdvisor Can"t Tell: Crowdsourcing Urban Impressions for Whole Cities

In the context of a number of emerging opportunities for citizen participation in Latin America, we present an overview of the SenseCityVity project developed in Mexico. The project goals are the design, implementation, and validation of a mobile crowdsourcing framework involving youth taking photographs with smartphones and providing online impressions about the city as captured in geo-referenced photos. One key aim is to co-design experiences with youth that help make visible the specific urban issues that matter to them, and which are seldom present in other sources of social media data. The project activities include the mapping of issues including accessibility, safety, or trash management; the use of statistical data analysis methods to assess the reliability of the provided impressions and the associated ability of the observers; and a reflection process through which proposals to work on such issues can potentially be generated.