Miracle-dz/UniFAR-FTUs huggingface dataset:
Dually Involved Youth: Exploring Child Welfare Involvement, Maltreatment, and Offensive Severity

Youth involved with both the child welfare and juvenile justice systems are referred to as dually involved youth. Children involved in the child welfare system are highly vulnerable for maladaptive outcomes, and in particular, engagement in delinquent behaviors. Those youth who criminally offend are likely to shift back and forth between the two systems, potentially increasing their vulnerability for poor outcomes. The theoretical bases for this study are derived from ecological systems and attachment theories, specifically the influence of trauma on attachment. The Massachusetts Department of Children and Families (DCF) and the Department of Youth Services (DYS) provided the data for this secondary analysis of the characteristics of dually involved youth and the factors related to offense severity for youth committed to DYS. The study explored: 1) the relationship of gender, race, and age of delinquency commitment to offense severity; 2) the influence of child welfare involvement (measured by total unique count of social workers, home removal, and out-of-home placement) to offense severity; 3) the influence of prior maltreatment to offense severity; and 4) the association of gender and race to the likelihood of dual involvement. Results indicated that while maltreatment was found to be significantly associated with more severe offenses, greater child welfare involvement was associated with less severe offenses. Additionally, the results indicated that female juvenile delinquents were significantly more likely to be dually involved. The issues of racial disproportionality within the juvenile justice and child welfare systems were examined. While results did not indicate statistical significance in determining the likelihood of dual involvement based on race, disproportionality in the juvenile justice system exists. Implications for policy changes included the following: 1) the need for gender specific programming, 2) an increased commitment to reducing disproportionality in the child welfare and juvenile justice systems, 3) increased focus on multisystem services to meet the needs of youth. Strategies for using kinship placements as an avenue to maintain familial connections are discussed. Additional research is needed to explore the influence of the interaction between gender and race, mental health and environment factors (e.g., poverty, neighborhood characteristics) on likelihood of dual involvement.
Intelligence frameworks for assisting modelers in combinatorically challenging domains

Domain-Specific Modeling Languages (DSMLs) are a means of simplifying the development of a large class of systems. There are many domains, however, where the domain constraints are so restrictive and the solution spaces so large that it is extremely difficult for a modeler to manually produce a correct solution using a DSML. For example, modeling the deployment of software components to nodes and observing configuration and resource constraints, even when only a few tens of model entities are present, can easily generate solution spaces with millions or more possibile deployments and few correct ones. This paper address the challenge of creating a Domain-Specific Intelligence Framework (DSIF) to help a modeler solve combinatorically challenging modeling problems. The paper provides five key contributions to the integration of DSMLs and model intelligence. 1) We present experiments showing how a domainspecific knowledge base and domain-specific solution algorithms can greatly reduce the complexity of integrating a solver. 2) We provide methods for templatizing a Knowledge Base (KB) and KB-based constraint solvers so that they can be paramertized by a metamodel. 3) We present experiments validating that a metamodel-parameterized KB and solvers require less code and provide superior performance to generic KBs and solvers. 4) We illustrate methods for using an Observer, templatized by a metamodel, to translate events from the object graph of a DSML tool into DSKB events and DSKB events back to object graph events. 5) Finally, we present a case-study based on a tool for sovling AUTOSAR, an automotive modeling standard, deployment problems.
Health and Quality of Life Outcomes

Background: To explore the concept of the Minimum Clinically Important Difference (MID) of the Worry Scale of the Hypoglycaemia Fear Survey (HFS-II) and to quantify the clinical importance of different types of patient-reported hypoglycaemia. Methods: An observational study was conducted in Germany with 392 patients with type 2 diabetes mellitus treated with combinations of oral anti-hyperglycaemic agents. Patients completed the HFS-II, the Treatment Satisfaction Questionnaire for Medication (TSQM), and reported on severity of hypoglycaemia. Distributionand anchor-based methods were used to determine MID. In turn, MID was used to determine if hypoglycaemia with or without need for assistance was clinically meaningful compared to having had no hypoglycaemia. Results: 112 patients (28.6%) reported hypoglycaemic episodes, with 15 patients (3.8%) reporting episodes that required assistance from others. Distributionand anchor-based methods resulted in MID between 2.0 and 5.8 and 3.6 and 3.9 for the HFS-II, respectively. Patients who reported hypoglycaemia with (21.6) and without (12.1) need for assistance scored higher on the HFS-II (range 0 to 72) than patients who did not report hypoglycaemia (6.0). Conclusion: We provide MID for HFS-II. Our findings indicate that the differences between having reported no hypoglycaemia, hypoglycaemia without need for assistance, and hypoglycaemia with need for assistance appear to be clinically important in patients with type 2 diabetes mellitus treated with oral anti-hyperglycaemic agents. Background The goal of treatment of diabetes is to achieve glycemic control in order to prevent long-term microand macrovascular complications. Due to the progressive nature of beta cell failure in spite of treatment with anti-hyperglycemic agents, HBA1c levels slowly rise even after an initial fall in patients with type 2 diabetes [1-3]. Therefore an increasing number of patients eventually need to be Published: 22 October 2009 Health and Quality of Life Outcomes 2009, 7:91 doi:10.1186/1477-7525-7-91 Received: 3 June 2009 Accepted: 22 October 2009 This article is available from: http://www.hqlo. com/content/7/1/91 © 2009 Stargardt et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Protein fractionation by three phase partitioning (TPP) in aqueous/t-butanol mixtures.

Un certain nombre de proteines standards, ayant des proprietes physicochimiques connues, tels la BSA, le cytochrome C, la γ globuline, le lysozyme, l'ovalbumine, la myoglobine. , sont utilisees pour etudier le comportement de proteine dans un systeme triphasique de partage. Les effets de differents facteurs: pH, pI, temperature, concentration, masse moleculaire, . intervenants dans la distribution de la proteine dans le systeme triphasique, sont etudies. Pour valider cette technique, une experience temoin utilisant les memes proteines standards est effectuee en electrophorese SDS-PAGE
Influence of Goal Contents on Exercise Addiction: Analysing the Mediating Effect of Passion for Exercise

Abstract Based on the self-determination theory (Deci and Ryan, 1985, 2000), the purpose of this study was to examine the effects of exercise goal contents on exercise addiction, taking into account the mediating effects of passion for exercise. A total of 384 university students (284 men and 100 women; Mage = 20.31, SD = 3.10) completed a questionnaire that measured exercise frequency and intensity, exercise goal contents (e.g. intrinsic: social affiliation, health management, skill development; extrinsic: image and social recognition), passion for exercise (e.g. harmonious and obsessive), and exercise addiction. After controlling the exercise frequency and intensity effects, results showed that goal contents did not directly predict exercise addiction. However, mediation analysis showed that goal contents predicted addiction through passion for exercise. These results support a motivational sequence in which extrinsic versus intrinsic goals influence exercise addiction because such goals are positively associated with obsessive passion for exercise and negatively associated with harmonious passion.
Statistical Machine Translation of Euparl Data by using Bilingual N-grams

This work discusses translation results for the four Euparl data sets which were made available for the shared task "Exploiting Parallel Texts for Statistical Machine Translation". All results presented were generated by using a statistical machine translation system which implements a log-linear combination of feature functions along with a bilingual n-gram translation model.
Hedging bond portfolios versus infinitely many ranked factors of risk

The paper considers bond portfolios affected by both interest-rate- and default-risk. In order to guarantee a correct performance of our analysis we will hedge against an infinite number of factors. Hence we do not have to impose and do not depend on any assumption concerning the dynamic behavior of the term structure of interest rates. On the other hand, since a complete hedging is not feasible unless some ideal situations hold, we rank the factors according to the empirical evidence. Thus, we make the most important risks vanish and we minimize the effect of those kinds of risk less usual in practice.
Protective Effect of Amphipterygium adstringens Extract on Dextran Sulphate Sodium-Induced Ulcerative Colitis in Mice

Amphipterygium adstringens is an endemic species in Mexico commonly known as “cuachalalate. ” Healers to treat gastritis, gastric ulcers, and gastrointestinal cancer have traditionally used the bark. We investigated the effects of alcoholic extract of A. adstringens (AaEE) in DSS-induced colitis in mice. The protective effect of AaEE was determined at 200 mg/kg by oral gavage for 10 days. We determine the effect of AaEE on clinical features (disease activity index), antioxidants, anti-inflammatory, and immunomodulatory activities in relation to the activity of SOD, CAT, and GPx, levels of proinflammatory cytokines, and changes both macroscopic and microscopic of the colonic mucosa. AaEE significantly reduced the inflammation of colon and significantly increased SOD and GPx activities. AaEE also significantly decreased TNF-α, IFN-γ, and IL-1β cytokine levels compared to DSS-treated mice and reduced both infiltration of inflammatory cells and the mucosal damage in colon. The results suggested the protective potential of AaEE in DSS-induced colitis and this might be attributed to its phytochemicals compounds that have been found to induce a wide spectrum of activities such as reduction in oxidative stress, suppression of inflammation, modulating numerous signal transduction pathways, and induction of apoptosis. The findings of this study suggest that AaEE has substantial potential for the treatment of inflammatory colitis.
Early Childhood Teachers' Professional Development in Music: A Cross-Cultural Study

THIS PAPER DEALS WITH PROFESSIONAL teacher development. It specifically focuses on a research study of early childhood teachers' views and involvement in teaching music to young children. It presents findings from a comparative study of 38 teachers in three childcare centres in the Hong Kong Special Administrative Region and 24 teachers in four childcare centres in South Australia. Two research questions are discussed and answered: (1) What are early childhood teachers' levels of involvement in professional development in music? (2) Are there any significant relationships, that is differences and commonalities, in the findings between teachers' levels of involvement in these two cultural contexts? A unique research tool entitled Teachers' Music Development Scale was devised to collect data and measure teachers' involvement in music development. Specific findings and their implications are presented in the paper.
Structured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme

This paper introduces novel schemes for indoor localization, outlier detection, and radio map interpolation using wireless local area networks. The localization method consists of a novel multicomponent optimization technique that minimizes the squared <inline-formula><tex-math notation="LaTeX">$\ell _{2}$</tex-math></inline-formula>-norm of the residuals between the radio map and the online received signal strength (RSS) measurements, the <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$</tex-math></inline-formula>-norm of the user's location vector, and weighted <inline-formula><tex-math notation="LaTeX">$\ell _{2}$</tex-math></inline-formula>-norms of layered groups of reference points (RPs). RPs are grouped using a new criterion based on the similarity between the so-called access point (AP) coverage vectors. In addition, since AP readings are prone to containing inordinate readings, called outliers, an augmented optimization problem is proposed to detect the outliers and localize the user with cleaned online measurements. Moreover, a novel scheme to record fingerprints from a smaller number of RPs and estimate the radio map at RPs without recorded fingerprints is developed using sparse recovery techniques. All localization schemes are tested on RSS fingerprints collected from a real environment. The overall scheme has comparable complexity with competing approaches, while it performs with high accuracy under a small number of APs and finer granularity of RPs.
BorderPatrol: Isolating Events for Precise Black-box Tracing

High-level causal request traces are of interest to developers of large concurrent and distributed applications. These traces show how a request is processed as it passes through several modules which may be processes, threads, machines, or devices. They aid programmer understanding and are increasingly analyzed by tools used to detect performance and correctness errors. Precise traces are more useful than statistical approaches because they can detect anomalous behavior and allow decisions at run-time. Since these traces are dif-ﬁcult to obtain without application-speciﬁc instrumentation of each module of the system, much of the recent work that analyzes request traces is limited to applications for which source code and developer expertise is available. We present BorderPatrol 1 , which obtains precise request traces through systems built from a litany of unmodiﬁed modules, written in varied languages, with varying architectures. These include Apache, thttpd, PostgreSQL, Turbo-Gears, BIND and notably Zeus, a closed-source event-driven HTTP/1.1 web server, which uses helper processes. Border-Patrol obtains these traces using active observation which slightly modiﬁes the event stream observed by system modules, simplifying precise observation. Protocol processors aid active observation by leveraging knowledge about standard protocols and interfaces between concurrent modules, avoiding the need for implementation-speciﬁc instrumentation. BorderPatrol obtains precise traces for black-box systems that cannot be traced by any other technique. Further, it does so with limited overhead on real systems (approximately 10-15%) making it a viable option for deployment on production systems.
Quo vadis , WSN Internet Integration ?

Welcome to the 14th issue of the CONET newsletter. CONET is the EU FP7 network of excellence on Cooperating Objects, merging the fields of embedded systems for robotics and control, pervasive computing and wireless sensor networks. CONET focuses on establishing the field of Cooperating Objects within the research and industrial community, thus strengthening the position of Europe in the research landscape.
Annotated Bibliographical Reference Corpora in Digital Humanities

In this paper, we present new bibliographical reference corpora in digital humanities (DH) that have been developed under a research project, Robust and Language Independent Machine Learning Approaches for Automatic Annotation of Bibliographical References in DH Books supported by Google Digital Humanities Research Awards. The main target is the bibliographical references in the articles of Revues.org site, an oldest French online journal platform in DH field. Since the final object is to provide automatic links between related references and articles, the automatic recognition of reference fields like author and title is essential. These fields are therefore manually annotated using a set of carefully defined tags. After providing a full description of three corpora, which are separately constructed according to the difficulty level of annotation, we briefly introduce our experimental results on the first two corpora. A popular machine learning technique, Conditional Random Field (CRF) is used to build a model, which automatically annotates the fields of new references. In the experiments, we first establish a standard for defining features and labels adapted to our DH reference data. Then we show our new methodology against less structured references gives a meaningful result.
Eye movements during scene inspection: A test of the saliency map hypothesis

What attracts attention when we inspect a scene? Two experiments recorded eye movements while viewers inspected pictures of natural office scenes in which two objects of interest were placed. One object had low contour density and uniform colouring (a piece of fruit), relative to another that was visually complex (for example, coffee mugs and commercial packages). In each picture the visually complex object had the highest visual saliency according to the Itti and Koch algorithm. Two experiments modified the task while the pictures were inspected, to determine whether visual saliency is invariably dominant in determining the pattern of fixations, or whether the purpose of inspection can provide a cognitive override that renders saliency secondary. In the first experiment viewers inspected the scene in preparation for a memory task, and the more complex objects were potent in attracting early fixations, in support of a saliency map model of scene inspection. In the second experiment viewers were set the task of detecting the presence of a low saliency target, and the effect of a high saliency distractor was negligible, supporting a model in which the saliency map can be built with cognitive influences that override low-level visual features.
A Unified Framework for Mesh Segmentation and Part Annotation

This paper proposed a unified framework to generate consistent segmentation and annotate part semantic for 3D mesh simultaneously. The core idea of the proposed framework is to bridge the semantic gap between low-level geometry feature and high-level semantic feature by structure ontology. The structure ontology makes a consistence representation for mesh structure, geometry feature, semantic concept and semantic rules. So it can be used in the process of segmentation and part annotation. Comparing with the previous work, the proposed framework has the two distinctive characters. Firstly, it can avoid inconsistence segmentation problems deduced from existing segmentation algorithms. Secondly, it can recognize part semantic automatically by defined semantic rules. Finally, this paper shows some experiment results to further verify the effect of the proposed framework.
Applying FPGA-based chip to apparent power and power factor measurement considering nonsinusoidal and unbalanced conditions

This paper proposes a field-programmable gate array (FPGA)-based integrated circuit (IC) for computing apparent powers and power factors of power systems. In a nonsinusoidal and unbalanced three-phase power system, the calculation of apparent powers and power factors has many definitions. Load characteristics of harmonic and unbalance can not be expressed in the traditional apparent power and power factor, which only consider the fundamental and three-phase balanced sinusoidal conditions. This paper utilizes the FPGA chip to develop the platform to implement the calculation methods of apparent powers and power factors. The proposed design scheme is developed using the very high speed integrated-circuit hardware description language (VHDL), which provides high flexibility and technology independence. This paper discussed the effective power and power factor, the arithmetic power and power factor, and the fundamental power and power factor. The design of filters for the computation of fundamental frequency components is given. ModelSim is used at first to simulate the calculation of apparent powers and power factors to ensure the accuracy of timing and function. Research results show that the designed chip can compute accurately the apparent powers and power factors considering the effects of nonsinusoidal and unbalanced conditions.
Measuring serendipity: connecting people, locations and interests in a mobile 3G network

Characterizing the relationship that exists between people's application interests and mobility properties is the core question relevant for location-based services, in particular those that facilitate serendipitous discovery of people, businesses and objects. In this paper, we apply rule mining and spectral clustering to study this relationship for a population of over 280,000 users of a 3G mobile network in a large metropolitan area. Our analysis reveals that (i) People's movement patterns are correlated with the applications they access, e.g., stationary users and those who move more often and visit more locations tend to access different applications. (ii) Location affects the applications accessed by users, i.e., at certain locations, users are more likely to evince interest in a particular class of applications than others irrespective of the time of day. (iii) Finally, the number of serendipitous meetings between users of similar cyber interest is larger in regions with higher density of hotspots. Our analysis demonstrates how cellular network providers and location-based services can benefit from knowledge of the inter-play between users and their locations and interests.
Highly Efficient Binding of DNA on the Sidewalls and Tips of Carbon Nanotubes Using Photochemistry

The sidewalls of vertically aligned, multiwalled carbon nanotubes were functionalized using azide photochemistry, and DNA oligonucleotides were synthesized in situ from the reactive group on each photoadduct to produce water-soluble DNA-coated nanotubes. The functional DNA sites on the nanotubes were visualized from gold nanoparticles modified with complementary DNA and using TEM. The sidewall functionalization enabled further DNA-directed modification of the nanotubes' surfaces with nanoparticles. The DNA-coated vertically aligned nanotubes offer the architecture for a highly loaded three-dimensional DNA chip.