Miracle-dz/UniFAR-FTUs huggingface dataset:
Bless your heart but hide the children : the effect of entertainment media depictions of social workers on public opinions about social work as a profession

This study explored the effects of entertainment media depictions of social workers on public opinions of social work as a profession. Specifically, this study focused on the power of short clips depicting a social work character to influence participants’ views of social work as positive or negative and the social desirability of social work as a profession. One hundred and nineteen participants viewed a short video clip, which included a positive, negative, or no depiction of a social worker. Participants then completed a survey assessing positive or negative attitudes towards social workers and the desirability of social work as a profession. The video clips were found to have no significant influence on participants’ responses to the survey. Participant responses on the positive/negative subscale were found to be significantly more negative than neutral, and participants aged 18-40 years were found to be significantly less likely to see a social worker if they wanted therapy Bless Your Heart but Hide the Children: The Effect of Entertainment Media Depictions of Social Workers on Public Opinions About Social Work as a Profession A project based upon an independent investigation, submitted in partial fulfillment of the requirements for the degree of Master of Social Work
Noncommutative Gauge Theories on Fuzzy Sphere and Fuzzy Torus from Matrix Model

We consider a reduced model of four-dimensional Yang-Mills theory with a mass term. This matrix model has two classical solutions, two-dimensional fuzzy sphere and two-dimensional fuzzy torus. These classical solutions are constructed by embedding them into three or four dimensional flat space. They exist for finite size matrices, that is, the number of the quantum on these manifolds is finite. Noncommutative gauge theories on these noncommutative manifolds are derived by expanding the model around these classical solutions and studied by taking two large $N$ limits, a commutative limit and a large radius limit. The behaviors of gauge invariant operators are also discussed.
Using dynamic programming to match human behavior sequences

This paper proposed a new approach for recognition and matching the human behavior sequence. Each human behavior sequence is represented by its key postures to greatly reduce the computation time. Normalization is applied to all the behavior sequences key postures for matching. A dynamic time warping (DTW) algorithm is used to perform the alignment of two time series. Experiments are carried out on an open human behavior database and exciting results have been obtained.
Learning Shallow Context-free Languages under Simple Distributions

In this paper I present the EMILE 3.0 algorithm 1. It can learn shallow context-free grammars eeciently. It does so under circumstances that, from a perspective of complexity, come resonably close to the conditions under which human beings learn a language. A language is shallow in its descriptive length if all the relevant constructions we need to know to learn it have a complexity that is logarithmic in the descriptive length of the grammar as a whole. I claim that natural languages are shallow and that shallowness in itself is an interesting general constraint in the context of formal learning theory. I also introduce the concept of sepa-rability. A language is separable if the validity of rules can be tested by means of memberbership queries using simple substitutions. Although I do not believe that human languages are strictly separable I do think it is an important aspect of eecient human communication. I illustrate the structure of the algorithm by means of an extensive example, and I indicate how a careful analysis of the bias involved in natural language learning may lead to versions of EMILE 3.0 that can be implemented in real-life dialogue systems. I claim that the EMILE approach could serve as a valuable metamodel for evaluating clustering approaches to language learning. The results of EMILE are mainly theoretical. They 1 The original acronym stands for Entity Modeling Intelligent Learning Engine. It refers to earlier versions of EMILE that also had semantic capacities. The name EMILE is also motivated by the book on education by J.-J. Rousseau. In order to distinguishseveral versions of EMILE I started recently to give them version numbers. Versions 1 and 2 are discussed in Adriaans, 1992a. 1 2 / Pieter W. Adriaans could potentially also be used to develop more eecient variants of other approaches to language learning.
Internet-Based Sex-Seeking Behavior Promotes HIV Infection Risk: A 6-Year Serial Cross-Sectional Survey to MSM in Shenyang, China

HIV prevalence is still rapidly increasing among Chinese men who have sex with men (MSM). The Internet also makes it easier for MSM to have casual partners. This study aims to evaluate the trend of Internet-based sex-seeking behavior of MSM and its impact on HIV prevalence, the distribution of HIV subtype strains, and transmitted drug resistance rates. A serial cross-sectional study was conducted from 2009 to 2014. Of the 1,981 MSM, 50.5% (1,000/1,981) mainly sought homosexual partners through the Internet (Internet-based MSM, IBM). The proportion of IBM among total MSM subjects increased from 43.3% to 61.5% (p < 0.001). HIV prevalence of IBM increased from 5.7% to 20.7%, while that of non-Internet-based MSM (NIBM) increased from 7.0% to 14.7%. A relative higher proportion of NIBM were infected with HIV CRF01_AE subtype than IBM (79.5% versus 72.2%, p = 0.52). Multivariable analysis found IBM had a significantly higher HIV prevalence than NIBM (13.2% versus 10.5%, aOR = 1.4, 95% CI [1.0–1.9]). Being a migrant non-Shenyang resident MSM (aOR = 1.9, 95% CI [1.3–2.9]) and occasionally/never using condoms with casual homosexual partners (aOR = 1.7, 95% CI [1.1–2.6]) were two distinct risk factors for HIV infection in IBM. More efforts should be targeted towards developing interventions aimed at IBM, particularly migrant MSM and who engage in UAI with casual homosexual partners.
The Lowe Syndrome Protein OCRL1 Is Required for Endocytosis in the Zebrafish Pronephric Tubule

Lowe syndrome and Dent-2 disease are caused by mutation of the inositol 5-phosphatase OCRL1. Despite our increased understanding of the cellular functions of OCRL1, the underlying basis for the renal tubulopathy seen in both human disorders, of which a hallmark is low molecular weight proteinuria, is currently unknown. Here, we show that deficiency in OCRL1 causes a defect in endocytosis in the zebrafish pronephric tubule, a model for the mammalian renal tubule. This coincides with a reduction in levels of the scavenger receptor megalin and its accumulation in endocytic compartments, consistent with reduced recycling within the endocytic pathway. We also observe reduced numbers of early endocytic compartments and enlarged vacuolar endosomes in the sub-apical region of pronephric cells. Cell polarity within the pronephric tubule is unaffected in mutant embryos. The OCRL1-deficient embryos exhibit a mild ciliogenesis defect, but this cannot account for the observed impairment of endocytosis. Catalytic activity of OCRL1 is required for renal tubular endocytosis and the endocytic defect can be rescued by suppression of PIP5K. These results indicate for the first time that OCRL1 is required for endocytic trafficking in vivo, and strongly support the hypothesis that endocytic defects are responsible for the renal tubulopathy in Lowe syndrome and Dent-2 disease. Moreover, our results reveal PIP5K as a potential therapeutic target for Lowe syndrome and Dent-2 disease.
Internet Lessons for Designers of Networks on Chips

lessons can be learned by taking a look at history, mechanisms that succeeded and failed and issues that are commonly known in the research community. We therefore point out similarities between NoCs and the Internet and discuss some findings that can be used as rules for NoC designers, who should neither repeat known mistakes nor reinvent the wheel.
Unknown constrained mechanisms operation based on dynamic hybrid compliance control

In order to operate unknown constrained mechanisms with assistive robot manipulators, a dynamic hybrid compliance control algorithm was proposed in the paper. The controller using the proposed algorithm was designed to estimate constrained frame, determine driving-axis and obtain control velocity. Firstly, the constrained frame was estimated online according to the previous motion direction, and a suitable direction was selected as driving-axis by selection matrix; then hybrid position/force control was adopted to decouple the driving-axis and non-driving-axis; finally, velocity control was used at the driving-axis and impedance control was used at the non-driving-axis. The proposed dynamic hybrid compliance control algorithm made manipulators find a suitable direction as the driving-axis to operate the constrained mechanisms. And the dynamic characteristics of operation were improved. The validity of the proposed method was verified by the experiments of autonomous door opening utilizing a 6-DoF manipulator.
Electrical Impedance Tomography: from topology to shape

A level set based shape and topology optimization approach to electrical impedance tomography (EIT) problems with piecewise constant con- ductivities is introduced. The proposed solution algorithm is initialized by using topological sensitivity analysis. Then it relies on the notion of shape derivatives to update the shape of the domains where the conductivity takes its different values.
Funke Dynamic Problem Solving : A New Assessment Perspective

This article addresses two unsolved measurement issues in dynamic problem solving (DPS) research: (a) unsystematic construction of DPS tests making a comparison of results obtained in different studies difficult and (b) use of time-intensive single tasks leading to severe reliability problems. To solve these issues, the MicroDYN approach is presented, which combines (a) the formal framework of linear structural equation models as a systematic way to construct tasks with (b) multiple and independent tasks to increase reliability. Results indicated that the assumed measurement model that comprised three dimensions, information retrieval, model building, and forecasting, fitted the data well (n = 114 students) and could be replicated in another sample (n = 140), showing excellent reliability estimates for all dimensions. Predictive validity of school grades was excellent for model building but nonexistent for the other two MicroDYN dimensions and for an additional measure of DPS. Implications are discussed.
Instruction-Level Instantaneous Power Modeling for VLIW Processor

Traditional instruction-level power model can evaluate the average power consumption of software, but lacks of the analysis of instantaneous power consumption. In this paper, a cycle-scale accurate power model is established for clustering VLIW structure processor from two aspects, pipeline and instruction code, which can complete instantaneous power evaluation of the processor. Through the implements of different algorithms on a processor, the results show that the model has high accuracy. This model lays a foundation for the research of software's low power compiling.
Is Worst-Case Execution-Time Analysis a Non-Problem? — Towards New Software and Hardware Architectures

Despite the scientific advances in the research area of worst-case execution-time (WCET) analysis, there is hardly any industrial impact of the research solutions presented so far. This seems to be due to the high complexity of implementing and using the proposed WCET approaches. This paper discusses what makes WCET analysis complex and proposes to use adequate hardware and software architectures to improve the predictability of program timing, thus simplifying WCET analysis.
A Fault Tolerant Mechanism for Composition of Web Services Using Subset Replacement

2 Abstract: Businesses offer complex services to the users, which can't be provided by a single Web Service. A Composite Web Service provides more complicated function, by composing multiple Web services. A composite service is more susceptible to failure than an atomic service. During the execution of a Composite Web Service, if one Component Service fails or becomes unavailable, the whole Composite Web Service fails. A middle agent (broker) simplifies the interaction between service providers and service requester and fulfills the user's need. The broker composes a desired value-added service and orchestrates the execution of Web Services. A replacement policy has been proposed in this paper that replaces the subset of Web Services that contains failed Web Service with another equivalent subset. During the execution, if a failure occurs, subsets containing failed Web Service are identified. Subsequently the subsets equivalent to failed one are identified. These equivalent subsets are ranked as per the policy and the best subset is selected. The old subset is replaced with the new equivalent subset in the Composite Web Service.
Socioeconomic disparities in quitting smoking and in steps on the smoking cessation pathway among smokers in Italy: findings from the SIDRIAT cohort study

Abstract Objectives: The aim of this research was to examine socioeconomic disparities in quitting smoking and the association between socioeconomic status (SES) and steps in the smoking cessation pathway. Methods: We conducted an 11-year longitudinal cohort study examining the association between SES and quitting smoking among 721 current smokers at baseline. At the follow-up survey there were 466 smokers composed by those who continued smoking since baseline and those who began ore relapsed smoking. Among these we then studied the association between SES and steps on the pathway of quitting: nicotine dependence, motivational factors (expectancy of gains in quality of life after quitting; worries about health; favourable attitudes about smoking), beliefs about quitting (intention to quit smoking within the next 6 months; self-efficacy), and past quitting history. Results: Smokers with fewer years of education were less likely to quit. Higher nicotine dependence was associated with lower education and with workers classified as managers and professionals, who were also more likely to record favourable smoking attitudes, and to have made ≥1 quit attempts. Manual workers reported lower self-efficacy in quitting, and were less likely to report 6 months of abstinence. Conclusions: Higher education levels may predict quitting smoking over a long period. Interventions are needed to reduce dependence and to enhance self-efficacy in lower educated smokers, as well as to reduce favourable smoking attitudes among higher occupational classes.
Estimating mixing properties of local Hamiltonian dynamics and continuous quantum random walks is PSPACE-hard

A major topic of (classical) ergodic theory is to examine qualitatively how the phase space of dynamical systems is penetrated by the orbits of their dynamics. We consider interacting qubit systems with dynamics according to 4-local Hamiltonians and continuous quantum random walks. For these systems one could use the von Neumann entropy of the time-average to characterize the mixing properties of the corresponding orbits, i.e., what portion of the state space and how uniformly it is filled out by the orbits. We show that the problem of estimating this entropy is PSPACE-hard.
Semiological Analysis of Primary School Students Drawings for “War” Concept

Drawing is a sincere and explicative language that children use to reflect their feelings, thoughts, perceptions and observations. Children give clues about their inner world by revealing their perceptions of external world in their drawings. The purpose of this study is to do a semiological analysis of third grade students' visual perceptions of war. The study was carried out with phenomenological pattern. So, the target is to make some inferences from students' drawings. 22 third grade students in Elazig in Turkey participated in the study. After providing them with crayons and papers, these students were asked to draw pictures depicting war. After that, these drawings were analyzed with phenomenological method by the researchers. At the end of the analyses, students made a lot of original, creative and effective drawings depicting war. In these drawings, deep scars of wars taking place in Middle East, where Turkey is geographically and historically close, can be seen. Moreover, there are also some reflections of Turkey's struggle against separatist terrorist organizations in those drawings. The results of the study reveal that children's drawings indicate that there is an atmosphere of distrust and suspicion in the country. In terms of pedagogy, this inference can be made: Children's perceptions and imaginations are shaped largely by topical issues. Television, the internet and printed media are the dominant factors for this shaping.
The neural circuit for touch sensitivity in Caenorhabditis elegans

The neural pathways for touch-induced movement in Caenorhabditis elegans contain six touch receptors, five pairs of interneurons, and 69 motor neurons. The synaptic relationships among these cells have been deduced from reconstructions from serial section electron micrographs, and the roles of the cells were assessed by examining the behavior of animals after selective killing of precursors of the cells by laser microsurgery. This analysis revealed that there are two pathways for touch-mediated movement for anterior touch (through the AVD and AVB interneurons) and a single pathway for posterior touch (via the PVC interneurons). The anterior touch circuitry changes in two ways as the animal matures. First, there is the formation of a neural network of touch cells as the three anterior touch cells become coupled by gap junctions. Second, there is the addition of the AVB pathway to the pre- existing AVD pathway. The touch cells also synapse onto many cells that are probably not involved in the generation of movement. Such synapses suggest that stimulation of these receptors may modify a number of behaviors.
Tilted tabletops: In between horizontal and vertical workspaces

In this paper we examine tilted tabletops as workspaces for computer-supported group collaboration. The configuration of a tilted tabletop is considered to be in between a fully horizontal tabletop and a vertical whiteboard. We describe related work, and provide an overview of the advantages and disadvantages of such a configuration. Furthermore, we present the results of a user study about tilted tabletops. We captured the tilt angle preference of 78 participants using mock-ups of the basic workspace elements. The study was conducted after they experienced a combined distributed and co-located collaboration. The results of the study reveal that the majority of the participants prefer a tilted workspace rather than a fully horizontal one for interaction. We discuss the implications of these results for the design of tabletop-based collaborative environments.
WHOBBS: An Object-Based Distributed Hybrid Storage Providing Block Storage for Virtual Machines

Because of its high IO performance, Solid State Drives (SSDs) are playing an important role in cloud storage services. However, its ten times price of Hard Disk Drives (HDDs) makes it unaffordable for most companies to replace all traditional HDD storage with high performance SSD storage. Hybrid storage becomes a trade-off solution between relatively high performance and acceptable cost. In this paper, we propose an object-based hybrid storage system called WHOBBS to provide high-performance block storage for virtual machines in IaaS. WHOBBS introduces logical storage pools to manage different types of storage devices and splits VM disk images into the objects residing in different storage pools. WHOBBS will optimize the IO performance of the system by dynamic object migration, according to the periodically analyzed access patterns of all objects and the determined global object placement strategy. We evaluate WHOBBS under several benchmarks and demonstrate its efficiency and effectiveness.
Influence of Maternal Alcoholism on the Brain Benzodiazepine Receptor Development in Human Embryo and Fetus during Ontogeny

Graphical Abstract: Influence of maternal alcoholism on the brain benzodiazepine receptor development in human’s embryo and fetus showed decreases their affinity and increases density as compensatory adaptation of the fetal nervous system to the effects of alcohol. Abstract: Signaling mechanisms that are required for proper neuronal development and how these processes are impaired by ethanol resulting in harmful consequences to brain development are very important for our understanding. The aim of the present work was to study the development of synaptic Benzodiazepine Receptors (BzDR) (functionally associated with the brain GABAergic system) in the brains of embryos and fetuses aged 8-15 weeks obtained from alcoholic female patients. Material and method: Abortive material (samples of brain tissue) was obtained from 33 women with grade II alcoholism (ICD-10 F10.201 and F10.202) and 30 control women were studied. The properties of BzDR were studied by radioreceptor binding with the selective ligand [3H]-flunitrazepam using a crude embryo brain synaptosomal fraction. Results: In contrast to controls, brain cells developing in conditions of prenatal alcoholization showed formation of synaptic benzodiazepine receptors and alterations in their properties: decreases in their affinity and increases in their density. A decrease in the ability of receptors to bind agonist ligands impairs the ligand: receptor protein ratio, leading to decreased binding of the major neurotransmitter GABA and impairment to synaptic transmission. Conclusion: These are interpreted as compensatory reactions promoting adaptation of the fetal nervous system to the effects of alcohol and functional deficiency of the GABAergic system.