Miracle-dz/UniFAR-FTUs huggingface dataset:
A Quarter Century of Classics (1978-2004): Capturing the Theory, Practice, and Spirit of Social Work with Groups

* About the Authors * Preface * Groups in Human Services: Some Facts and Fancies (Margaret E. Hartford) * Planning: The Neglected Component of Group Development (Roselle Kurland) * The Significance of Social Group Based on Ethical Values (Gisela Konopka) * The Use of Program: Review and Update (Ruth R. Middleman) * Meeting Practice Needs: Conceptualizing the Open-Ended Group (Janice H. Schopler and Maeda J. Galinsky) * The Group Work Tradition and Social Work Practice (William Schwartz) * Building Mutual Support in Groups (Alex Gitterman) * Learning from Social Group Work Traditions (Margot Breton) * Group Work vs. Casework in a Group: Principles and Implications for Teaching and Practice (Roselle Kurland and Robert Salmon) * Group Work with 'Mixed Membership' Groups: Issues of Race and Gender (Alan Brown and Tara Mistry) * Waking the Heart Up: A Writing Group's Story (Erica Schnekenburger) * She's Doing All the Talking, So What's in It for Me? (The Use of Time in Groups) (Dominique Moyse Steinberg) * The Personal in the Political: Exploring the Group Work Continuum from Individual to Social Change Goals (Marcia B. Cohen and Audrey Mullender) * The Use of Purpose in On-Going Activity Groups: A Framework for Maximizing the Therapeutic Impact (Whitney Wright) * Groups-on-the-Go: Spontaneously Formed Mutual Aid Groups for Adolescents in Distress (Jana Jagendorf and Andrew Malekoff) * White Gloves and Cracked Vases: How Metaphors Help Group Workers Construct New Perspectives and Responses (Trudy K. Duffy) * Will the Real Healer Please Take a Bow (Rachel Miller) * Reference Notes Included
A Comparison of Hardware Acceleration Interfaces in a Customizable Soft Core Processor

Due to the continuously decreasing cost of FPGAs, they have become a valid implementation platform for SOCs. Typically, a soft core processor implementation is used to execute the software parts of the SOC. As each system is individually designed for a particular application, the idea is natural to support compute intensive parts of the code through customized hardware acceleration. Two different architectural variants have been proposed for this purpose in SOCs: either as an instruction set extension with specialized pipeline implementation or as a peripheral component that is programmed through memory mapping. In this contribution we analyze the efficiency (speedup related to LUTs) of those two variants.
Virtual silver clouds

Silver Clouds in an art work by Andy Warhol that allows people to be immersed in an environment with several ballons, which are moving around due to air flow from fans, heat from lights, and human intervention. We present our development of an installation that resembles Warhol's work, in a virtual reality (VR) platform. Our goals with this development are both artistic and scientific: from one hand, we would like to recreate Warhol's ideas in VR and implement some of his initial thoughts about this installation. From the other hand, this application is an excellent test case of application retargeting, or the ability of targeting a VR application to the most suitable characteristics of a hardware platform. A VR version of Silver Clouds poses several technical challenges, related to air-flow simulation, realistic rendering, interactivity, and real time collision detection, among others, which makes application retargeting challenging. This article shows how we developed the first prototypes of this application and our plans for research in application retargeting based on this development.
Efficient range-constrained similarity search on wavelet synopses over multiple streams

Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential ability of a Data Stream Management System (DSMS). In this paper, motivated by the fact that a user may be interested in an arbitrary range of the data streams, we investigate two important types of range-constrained queries in time series streaming environments: the distance queries (which aim at obtaining the Euclidean distance between two streams) and the kNN queries (which aim at discovering k nearest neighbors to a reference stream). To achieve high efficiency in processing these two types of queries, we propose procedure RED (standing for Range-constrained Euclidean Distance) and algorithm EKS (standing for Enhanced KNN Search). Compared to the existing methods in the prior research, the advantageous features of our approaches are in two folds. First, our approaches are capable of processing the queries directly from the wavelet synopses retained in the main memory without using IDWT to reconstruct the data cells. This feature allows us to save the complexity in both memory and time. Moreover, our approaches enable the users to query the DSMS within their range of interest. Unlike the conventional methods which only support the full-range query processing, this feature will enhance the flexibility at the client side. We evaluate procedure RED and algorithm EKS on live and synthetic datasets empirically and show that the proposed approaches are efficient in similarity search and kNN discovery within arbitrary ranges in the time series streaming environments.
An Examination of At Risk High School Students' Perceptions of the Factors that Foster Resiliency in Their Suburban High School

Research has continued to indicate that students’ academic success is determined by their socioeconomic status. In responding to the challenges faced by youth living in poverty, researchers have focused on identifying factors that provide supportive resources and protective mechanisms for fostering healthy development and learning success of at risk children and youth. The research described in this study involved qualitative research methodologies and grounded theory to examine at-risk high school students’ perceptions of their school’s ability to foster a culture of resilience. The purpose of the study was to identify those protective factors crucial for fostering educational resilience for at risk 16 to 18-year-old minority students in a suburban high school. The research uncovered the presence of reflective reciprocity syndrome, which was identified as the paralleled or mirrored interactions between teachers and students where teachers’ responses to students are reflective of students’ responses to teachers. Recommendations include raising educators’ awareness of the presence of reflective reciprocity syndrome in order to combat its negative effects in order to serve all students. Document Type Dissertation Degree Name Doctor of Education (EdD) Department Executive Leadership Subject Categories Education This dissertation is available at Fisher Digital Publications: https://fisherpub.sjfc. edu/education_etd/168 An Examination of At Risk High School Students’ Perceptions of the Factors that Foster Resiliency in Their Suburban High School
Human metapneumovirus and respiratory syncytial virus: subtle differences but comparable severity

Human metapneumovirus (hMPV) is a recently discovered virus that causes respiratory illness in children that can lead to hospitalization. Our study was undertaken to further understand hMPV-associated illness, compare clinical characteristics of hMPV and respiratory syncytial virus (RSV), and establish the utility of routine screening for hMPV. We retrospectively identified hMPV-associated illnesses described among children with respiratory symptoms admitted to a tertiary care center in southeast Michigan during the 2006–2007 respiratory viral season. A convenience sample of 256 nasopharyngeal specimens was subjected to nucleic acid extraction and amplification to identify those specimens positive for hMPV. A medical record review was undertaken to retrieve demographic and clinical data of patients with hMPV, comparing them to RSV-positive patients and patients evaluated for respiratory symptoms who were negative for hMPV and RSV. We found that hMPV was the second most commonly identified virus after RSV. hMPV-positive patients were older than RSV-positive patients. Among hMPV-positive patients, pneumonia was diagnosed in 37.5% and bronchiolitis in 31.2%, peribronchial cuffing was present on chest radiographs of 37.5%, antibiotic treatment was used in 81.2%, and admission to the ICU was seen in 37.5%. Finally, hMPV-positive patients were more likely to have fever than RSV-positive patients or patients negative for hMPV and RSV. We concluded that hMPV is a major pathogen associated with hospitalization of children and with the same severity of illness as RSV but in a slightly older population. Because of the apparent prevalence and severity of illness, routine screening should be implemented.
“True” black metal: The construction of authenticity by Dutch black metal fans

Abstract In the black metal subculture, authenticity is a central concept. While there are ample academic studies devoted to authenticity in hip hop, rock, country, punk, and other music genres, black metal authenticity remains relatively under-researched. This manuscript discusses how black metal fans construct authenticity. In-depth interviews with Dutch black metal fans reveal that they define authenticity along four highly interrelated dimensions: sincerity, commerciality, country of origin, and extremeness. While these dimensions are highly similar to those found in other music genres, our respondents’ constructions of authenticity are far from predictable. More specifically, they are much more complex and flexible than they might appear to outsiders to the subculture. We argue that this complexity is strongly related to the central role invocations of authenticity play in the drawing of boundaries around the subculture, as they ensure that authenticity cannot be easily staged but rather requires a profound investment in the subculture.
Dynamics-aware target following for an autonomous surface vehicle operating under COLREGs in civilian traffic

We present a model-predictive trajectory planning algorithm for following a target boat by an autonomous unmanned surface vehicle (USV) in an environment with static obstacle regions and civilian boats. The planner developed in this work is capable of making a balanced trade-off among the following, possibly conflicting criteria: the risk of losing the target boat, trajectory length, risk of collision with obstacles, violation of the Coast Guard Collision Regulations (COLREGs), also known as “rules of the road”, and execution of avoidance maneuvers against vessels that do not follow the rules. The planner addresses these criteria by combining a search for a dynamically feasible trajectory to a suitable pose behind the target boat in 4D state space, forming a time-extended lattice, and reactive planning that tracks this trajectory using control actions that respect the USV dynamics and are compliant with COLREGs. The reactive part of the planner represents a generalization of the velocity obstacles paradigm by computing obstacles in the control space using a system-identified, dynamic model of the USV as well as worst-case and probabilistic predictive motion models of other vessels. We present simulation and experimental results using an autonomous unmanned surface vehicle platform and a human-driven vessel to demonstrate that the planner is capable of fulfilling the above mentioned criteria.
Long non‐coding RNA MALAT1 regulates retinal neurodegeneration through CREB signaling

The nervous and vascular systems, although functionally different, share many common regulators of function maintenance. Long non‐coding RNAs (lncRNAs) are important players in many biological processes and human disorders. We previously identified a role of MALAT1 in microvascular dysfunction. However, its role in neurodegeneration is still unknown. Here, we used the eye as the model to investigate the role of MALAT1 in retinal neurodegeneration. We show that MALAT1 expression is significantly up‐regulated in the retinas, Müller cells, and primary retinal ganglion cells (RGCs) upon stress. MALAT1 knockdown reduces reactive gliosis, Müller cell activation, and RGC survival in vivo and in vitro. MALAT1‐CREB binding maintains CREB phosphorylation by inhibiting PP2A‐mediated dephosphorylation, which leads to continuous CREB signaling activation. Clinical and animal experimentation suggests that MALAT1 dysfunction is implicated in neurodegenerative processes and several human disorders. Collectively, this study reveals that MALAT1 might regulate the development of retinal neurodegeneration through CREB signaling.
Shock Heating in the Nearby Radio Galaxy NGC 3801

We report the Chandra detection of shock-heated shells of hot gas surrounding the radio lobes of the nearby (DL ~ 53 Mpc) low-power radio galaxy NGC 3801. The shells have temperatures of 1 and 0.7 keV, compared to an ISM temperature of 0.23 keV. The estimated expansion speed of the shells is ~850 km s-1, corresponding to a Mach number of ~4. This is the second X-ray detection of strong shocks produced by a low-power radio galaxy, and allows us to measure directly the contribution of shock heating to the radio galaxy's total energetic input to the ISM. We show that the gas properties of the shells and surrounding ISM are consistent with the Rankine-Hugoniot shock jump conditions. We estimate the energy stored in the hot gas shells (thermal + kinetic energy) to be 1.7 × 1056 ergs, which is equivalent to the thermal energy of the ISM within ~11 kpc of the galaxy center, and a factor of ~25 larger than the inferred P dV work required to inflate the lobe cavities, indicating that energy transfer from the AGN to its environment is dominated by shock heating during this stage of radio-source evolution. Our results provide direct evidence that shock heating in the early supersonic phase of FR I radio-source expansion can have important long-term effects on the properties of the host galaxy ISM. Finally, we discuss the merger history of NGC 3801, the fueling of its AGN and the role of this type of system in feedback models.
nlz Gene family is required for hindbrain patterning in the zebrafish

This study describes the conserved nlz gene family whose members encode unusual zinc finger proteins. In the zebrafish neurectoderm, both nlz1 and the newly isolated nlz2 are expressed in the presumptive hindbrain and midbrain/hindbrain boundary, where expression of nlz1 is dependent on pax2a. In addition, nlz2 is uniquely expressed more anteriorly, in the presumptive midbrain and diencephalon. Overexpression of Nlz proteins during gastrula stages inhibits hindbrain development. In particular, ectopically expressed Nlz1 inhibits formation of future rhombomeres 2 and 3 (r2, r3), whereas neighboring r1 and r4 are not affected. Conversely, simultaneous reduction of Nlz1 and Nlz2 protein function by expression of antisense morpholino‐modified oligomers leads to expansion of future r3 and r5, with associated loss of r4. These data indicate that one function of the nlz gene family is to specify or maintain r4 identity, and to limit r3 and r5 during hindbrain formation. Developmental Dynamics 229:835–846, 2004. © 2004 Wiley‐Liss, Inc.
Acute stress and hippocampal histone H3 lysine 9 trimethylation, a retrotransposon silencing response

The hippocampus is a highly plastic brain region particularly susceptible to the effects of environmental stress; it also shows dynamic changes in epigenetic marks in response to stress and learning. We have previously shown that, in the rat, acute (30 min) restraint stress induces a substantial, regionally specific, increase in hippocampal levels of the repressive histone H3 lysine 9 trimethylation (H3K9me3). Because of the large magnitude of this effect and the fact that stress can induce the expression of endogenous retroviruses and transposable elements in many systems, we hypothesized that the H3K9me3 response was targeted to these elements as a means of containing potential genomic instability. We used ChIP coupled with next generation sequencing (ChIP-Seq) to determine the genomic localization of the H3K9me3 response. Although there was a general increase in this response across the genome, our results validated this hypothesis by demonstrating that stress increases H3K9me3 enrichment at transposable element loci and, using RT-PCR, we demonstrate that this effect represses expression of intracisternal-A particle endogenous retrovirus elements and B2 short interspersed elements, but it does not appear to have a repressive effect on long interspersed element RNA. In addition, we present data showing that the histone H3K9-specific methyltransferases Suv39h2 is up-regulated by acute stress in the hippocampus, and that this may explain the hippocampal specificity we observe. These results are a unique demonstration of the regulatory effect of environmental stress, via an epigenetic mark, on the vast genomic terra incognita represented by transposable elements.
Hole Filling Method for Depth Image Based Rendering Based on Boundary Decision

In three-dimensional display systems, depth image based rendering is the most commonly used technique for generating images captured from a virtual viewpoint through reference views and depth maps. However, disoccluded hole filling remain a challenging issue as newly exposed area appears in the virtual view. Image inpainting based hole filling is a popular approach for filling in the hole, but the conventional methods generate annoying artifacts along the boundaries of the foreground objects. This letter presents a robust hole filling method that generates a virtual view with high quality. First, by using the local and neighboring property of the depth map, the background region is filled prior to the foreground region. Also, in the matching step to find the data to fill in, depth homogeneity is considered. Finally, based on the boundary decision using the depth property, the boundary regions are filled with background-relevant data to reduce boundary artifacts. Experimental results show that the views synthesized by the proposed method achieve higher visual comfort than the view synthesized by the existing methods.
Over-Constrained Scheduling using Dynamic Programming

In this paper, we demonstrate the use of stochastic dynamic programming to solve over-constrained scheduling problems. In particular, we propose a decision method for efficiently calculating, prior to start of execution, the optimal decision for every possible situation encountered in sequential, predictable, overconstrained scheduling domains. We present our resuits using an example problem from Product Quality Planning.
Copyright Protection of Online Application using Watermarking

Today Intellectual Property Rights (IPR) for online application and software code has become a fundamental issue. A variety of prevention techniques have been developed for copyright protection of software codes or intellectual property rights or web application. But, unfortunately no single technique is currently strong enough to protect the software codes. However, through a combination of techniques software developer can better protect their software codes. The combination of watermark techniques is visible watermarking and invisible watermarking. The visible watermarking is static watermarking techniques where as the invisible watermarking is a dynamic watermarking technique. In the static watermarking techniques, the watermark is stored in the data section and code section both where as in the dynamic watermarking techniques the watermarks are stored during program execution through native codes. In this paper, we have proposed dual watermarking techniques for an online application using Java Virtual Machine. The dual watermarking technique is a combination of both a visible and an invisible watermark.
An Efficient Submesh Allocation Scheme for Two-Dimensional Meshes with Little Overhead

This paper presents a submesh allocation scheme for two-dimensional mesh systems. The submesh detection process considers only those available free submeshes that border from the left on some allocated submeshes or have their left boundaries aligned with that of the mesh. Fragmentation in the system can be reduced as a result. More importantly, we present an efficient approach to facilitate the detection of such available submeshes. The basic idea of the approach is to place the allocated submeshes of the busy set in a certain order so as to reduce the complexity of subtraction operations required for submesh detection. The method is simple and causes an amount of overhead which is only a fraction of that produced by previous algorithms. Extensive simulation has been conducted to evaluate the performance of the proposed scheme. The results show that when allocation overhead is considered, the proposed scheme may outperform previous methods.
Multimodal Infrastructure Investment Decision Making: An Institutional and Funding Perspective

This paper presents a case analysis of multimodalism in transportation investment decision making as it relates to other policy decisions, including infrastructure ownership structures, geographic scales, and revenue sources. This allows a more complete understanding of multimodalism’s benefits, drawbacks, and opportunities. Private infrastructure developers are more likely to evaluate and select investments in a multimodal fashion than either the public sector or public-private partnerships. Decentralized, municipal decision making tends to reduce barriers to multimodalism, although with reduced capacity for large-scale project implementation. Experience suggests that the source of transportation revenues is a less important influence on multimodalism than the organizations collecting them.
Statistical Synthesis of Physically Based Load Models with Applications to Cold Load Pickup

Physically based load models are useful in the planning, operation and control of power systems, especially when it is necessary to predict the behavior of the system load due to changes in the system. This paper presents a methodology for predicting the load at a point in the system starting from elementary component load models. The methodology consists of three key steps: modeling of elementary component loads; classification into homogeneous (similar) groups; and aggregation of the load models in each homogeneous group using statistical techniques. The methodology is illustrated with the cold load pickup problem, where a mathematical model for the evolution of the fraction of "on" space heaters is developed. The resulting model consists of a system of coupled ordinary and partial differential equations for each homogeneous group of component loads. Numerical solutions of the equations are used to predict the fraction of "on" loads. The methodology is also applicable to direct load management.
Towards the automatic generation of card games through grammar-guided genetic programming

We demonstrate generating complete and playable card games using evolutionary algorithms. Card games are represented in a previously devised card game description language, a context-free grammar. The syntax of this language allows us to use grammar-guided genetic programming. Candidate card games are evaluated through a cascading evaluation function, a multi-step process where games with undesired properties are progressively weeded out. Three representa- tive examples of generated games are analysed. We observed that these games are reasonably balanced and have skill ele- ments, they are not yet entertaining for human players. The particular shortcomings of the examples are discussed in re- gard to the generative process to be able to generate quality games