Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Educational Music Therapy on State Hope for Recovery in Acute Care Mental Health Inpatients: A Cluster-Randomized Effectiveness Study

Background: There has been an increasing emphasis on recovery as the expectation for people with mental health disorders. Purpose: The purpose of this effectiveness study is to determine if group-based educational music therapy can immediately impact state hope for recovery in acute care mental health patients. Research questions included: will acute care mental health inpatients who participate in a single music therapy session have higher agency and pathway aspects of state hope for recovery than patients in a control condition? Will there be differences in state hope for recovery as a result of hope-oriented songwriting or lyric analysis interventions? Method: Participants (N = 169) were cluster randomized to one of three single-session conditions: lyric analysis, songwriting, or wait-list control. Results: There was no significant between-group difference. However, both music therapy conditions tended to have slightly higher mean pathway, agency, and total state hope scores than the control condition even within the temporal parameters of a single music therapy session. There was no between-group difference in the songwriting and lyric analysis interventions. Conclusion: Although not significant, results support that educational music therapy may impact state hope for recovery within the temporal parameters of a single session. The specific type of educational music therapy intervention did not affect results. Implications for practice, limitations, and suggestions for future research are provided.
CD40 expression by human monocytes: regulation by cytokines and activation of monocytes by the ligand for CD40

CD40 is a member of the tumor necrosis factor (TNF) receptor family of cell surface proteins and was originally described as a B cell restricted antigen. Treatment of primary human monocytes with granulocyte/macrophage colony-stimulating factor (GM-CSF), interleukin 3 (IL-3), or interferon gamma (IFN-gamma) resulted in the induction of CD40 mRNA and enhancement of cell surface protein expression. CD40 was found to mediate monocyte adhesion to cells expressing recombinant CD40 ligand. CD40 ligand-transfected cells provided a potent costimulus for monocyte TNF-alpha and IL-6 production in the presence of GM-CSF, IL-3, or IFN-gamma, and enhanced IL-8 production stimulated by GM-CSF or IL- 3. In addition, CD40 ligand-transfected cells acting in the absence of a costimulus induced monocytes to become tumoricidal against a human melanoma cell target. Collectively, these data indicate that CD40 ligand is pleiotropic with potent biological activity on monocytes.
Multigrid and Multilevel Methods in Science and Engineering

The fundamental idea behind all multigrid methods is to compute using diierent scales in order to obliterate error components of diierent scales. Error components can be thought of as waves. A long wave, which has low frequency, on one grid is a short wave, or high frequency, on a coarse enough related grid. A number of iterative methods (e.g., relaxation and alternating direction implicit methods) are very eecient at damping short wave error components, but not not as eecient at damping long wave error components. A particularly well written motivation for multigrid methods can be found in Brigg's book 1]. Closely related to multigrid are multilevel methods. For problems arising from partial diierential equations on grids, there is no real diierence between these methods. For problems in which the grid is not used in forming the coarser approximations or for problems in which there never was a grid, there is a methodology that is quite similar to multigrid. A sequence 1
Software Process Assessment Methods : Applying a new Methodology for its Comparison and Classification .

The main goal of this study is the comparison and classification of software process assessment methods. The study is exploratory and empirical, as the methodology used. The methodology, based on numerical taxonomy, was developed by the author and is described very briefly. In the study eight methods were classified, based on 112 characters selected from an initial set of 165 discovered characters. The methodology allows the creation of a hierarchical taxonomy of methods. From the hierarchy the methods SCAMPI and Bootstrap were found to be the closest and the method SA-SI the most distant. Interpretation was done by adding an intentional representation to the extensional one. To achieve this, group profiles were developed. Results are discussed. The paper begins by justifying the study. In the end, some conclusions are provided. 1 Instituto Superior de Engenheria do Porto, as@dei.isep. ipp.pt
When are Contrarian Profits Due to Stock Market Overreaction?

The profitability of contrarian investment strategies need not be the result of stock market overreaction. Even if returns on individual securities are temporally independent, portfolio strategies that attempt to exploit return reversals may still earn positive expected profits. This is due to the effects of cross-autocovariances from which contrarian strategies inadvertently benefit. We provide an informal taxonomy of return-generating processes that yield positive [and negative] expected profits under a particular contrarian portfolio strategy, and use this taxonomy to reconcile the empirical findings of weak negative autocorrelation for returns on individual stocks with the strong positive autocorrelation of portfolio returns. We present empirical evidence against overreaction as the primary source of contrarian profits, and show the presence of important lead-lag relations across securities.
Compiler-Based Techniques to Secure Cryptographic Embedded Software Against Side-Channel Attacks

Side-channel attacks are a concrete and practical threat to the security of computing systems, ranging from high performance platforms to embedded devices. In this paper, we will provide a brief systematization of the current existing approaches to analyze the side-channel vulnerability of an implementation, or automatically implement countermeasures, relying on methodologies typical of compiler systems. We will dedicate a spotlight to a significant progress in the countermeasures techniques which is represented by the application of dynamic compilation techniques to prevent a side-channel attacker from devising a model of the attacked application. We conclude the work highlighting promising research directions in this field.
Image Brightness Enhancement of Natural and Unnatural Images Using Continuous Genetic Algorithm

This paper discusses the image brightness enhancement of the natural and unnatural images using Continuous Genetic Algorithm. Image contents play a vital role in various images. In this paper, Genetic Algorithm has been investigated for the enhancement of the brightness of the images. The algorithm was effective as the brightness of the image got enhanced with the successive iterations as compared to the unprocessed input image.
Research on data acquisition system for agent-based bee product traceability platform

Bee product traceability platform has been set up based on Chinese law and global standards, which can be used to identify every process from farm to table. An integrated bee product traceability system includes the whole process of supply chain; meanwhile, the traceability data will be open to consumer. Thus it can enhance consumer confidence on bee products. In bee product traceability platform, original data acquisition is vital and the data must be secure, precise and timely. In this paper, data acquisition system is developed to solve the problems such as collecting data, managing original data and realizing data interaction in a timely and accurate manner through bee product traceability architecture which is based on multi-agent system (MAS). Thanks to MAS' special attributes and features, data acquisition agent and management agent could obtain data as well as apply safety and reliable data for bee product traceability platform.
Compac: enforce component-level access control in android

In Android applications, third-party components may bring potential security problems, because they have the same privilege as the applications but cannot be fully trusted. It is desirable if their privileges can be restricted. To minimize the privilege of the third-party components, we develop Compac to achieve a fine-grained access control at application's component level. Compac allows developers and users to assign a subset of an application's permissions to some of the application's components. By leveraging the runtime Java package information, the system can acquire the component information that is running in the application. After that, the system makes decisions on privileged access requests according to the policy defined by the developer and user. We have implemented the prototype in Android 4.0. 4, and have conducted a comprehensive evaluation. Our case studies show that Compac can effectively restrict the third-party components' permissions. Antutu benchmark shows that the overall score of our work achieves 97.4%, compared with the score of the original Android. In conclusion, Compac can mitigate the damage caused by third-party components with ignorable overhead.
Vitamin D receptor polymorphisms in patients with cutaneous melanoma

The vitamin D receptor (VDR) gene has been associated with cancer risk, but only a few polymorphisms have been studied in relation to melanoma risk and the results have been inconsistent. We examined 38 VDR gene single nucleotide polymorphisms (SNPs) in a large international multicenter population‐based case‐control study of melanoma. Buccal DNAs were obtained from 1,207 people with incident multiple primary melanoma and 2,469 with incident single primary melanoma. SNPs with known or suspected impact on VDR activity, haplotype tagging SNPs with ≥10% minor allele frequency in Caucasians, and SNPs reported as significant in other association studies were examined. Logistic regression was used to calculate the relative risks conferred by the individual SNP. Eight of 38 SNPs in the promoter, coding, and 3′ gene regions were individually significantly associated with multiple primary melanoma after adjusting for covariates. The estimated increase in risk for individuals who were homozygous for the minor allele ranged from 25 to 33% for six polymorphisms: rs10875712 (odds ratios [OR] 1.28; 95% confidence interval (CI), 1.01–1.62), rs4760674 (OR 1.33; 95% CI, 1.06–1.67), rs7139166 (OR 1.26; 95%CI, 1.02–1.56), rs4516035 (OR 1.25; 95%CI, 1.01–1.55), rs11168287 (OR 1.27; 95%CI, 1.03–1.57) and rs1544410 (OR 1.30; 95%CI, 1.04–1.63); for two polymorphisms, homozygous carriers had a decreased risk: rs7305032 (OR 0.81; 95%CI 0.65–1.02) and rs7965281 (OR, 0.78; 95%CI, 0.62–0.99). We recognize the potential false positive findings because of multiple comparisons; however, the eight significant SNPs in our study outnumbered the two significant tests expected to occur by chance. The VDR may play a role in melanomagenesis.
HIGHLIGHTED TOPIC Signals Mediating Skeletal Muscle Remodeling by Activity Nutritional modulation of training-induced skeletal muscle adaptations

John A. Hawley, Louise M. Burke, Stuart M. Phillips, and Lawrence L. Spriet Health Innovations Research Institute, School of Medical Sciences, RMIT University, Bundoora, Australia; Department of Sports Nutrition, Australian Institute of Sport, Belconnen, Australia; Department of Kinesiology, McMaster University, Hamilton; and Department of Human Health and Nutritional Sciences, College of Biological Sciences, University of Guelph, Guelph, Ontario, Canada
Me and My VE, Part 5: Applications in Human Factors Research and Practice

Recent advances in technology have made virtual environments, virtual reality, augmented reality, and simulations more affordable and accessible to researchers, companies, and the general public, which has led to many novel use cases and applications. A key objective of human factors research and practice is determining how these technology-rich applications can be designed and applied to improve human performance across a variety of contexts. This session will demonstrate some of the distinct and diverse uses of virtual environments and mixed reality environments in an alternative format. The session will begin with each demonstrator providing a brief overview of their virtual environment (VE) and a description of how it has been used to address a particular problem or research need. Following the description portion of the session, each VE will be set-up at a demonstration station in the room, and session attendees will be encouraged to directly interact with the virtual environment and ask demonstrators questions about their research and inquire about the effectiveness of using VE for research, training, and evaluation purposes. The overall objective of this alternative session is to increase the awareness of how human factors professionals use VE technologies and increase the awareness of the capabilities and limitations of VE in supporting the work of HF professionals.
Using document classification for displaying search results lists

In this paper, four self-developed user interfaces that display document search results using different methods were compared. In order to create the four interfaces, two information elements: document categories and lines from the document were used. A user study compared the four interfaces. It was found that the category addition to the interface was beneficial in both measurable and subjective measures. It was also found that displaying the relevant lines from the document increased the effectiveness and shortened the search time in all cases and tasks. It was found that the participants preferred the interface containing categories and relevant lines to all other interfaces checked. It was also the fastest in the objective time measurement. Another sub-research that was conducted showed that the most important parameter for the users was the confidence level that the answer was accurate, and the least important parameter was the feeling of comfort while conducting a search.
Hybrid Static-Runtime Information Flow and Declassification Enforcement

There are different paradigms for enforcing information flow and declassification policies. These approaches can be divided into static analyzers and runtime enforcers. Each class has its own strengths and weaknesses, each being able to enforce a different set of policies. In this paper, we introduce a hybrid static-runtime enforcement mechanism that works on unannotated program code and supports information-flow control, as well as declassification policies. Our approach manages to enforce realistic policies, as shown by our three running examples, all within the context of a mobile device application, which cannot be handled separately by static or runtime approaches, and are also not covered by current access control models of mobile platforms such as Android or iOS. We also show that including an intermediate step (called preload check) makes both the static analysis system independent (in terms of security labels) and the runtime enforcer lightweight. Finally, we implement our runtime enforcer and run experiments that show that its overhead is so low that the approach can be rolled out on current mobile systems.
University of Oklahoma Graduate College a 3d Feature-based Object Recognition System for Grasping a 3d Feature-based Object Recognition System for Grasping a Thesis Approved for the School of Computer Science Dedication Acknowledgments

Robotic grasping and vision are two important domains in robotics research. Recent research has shown that infants pay more visual attention to hand movement than faces during their early development (Smith and Pereira 2007). This suggests that the growth of visual and grasping skills should be intertwined from the beginning of an agent’s “life. ” In this thesis, I take several steps to bridge the gap between robot grasping and vision. Following the work of Coelho and Grupen, I first approach the problem of grip selection on an object as one of haptic search in which the fingers are incrementally displaced until a suitable grasp is found. I propose a method that can dynamically detect the local curvature of the object and modify the incremental displacements as a function of whether the surface is concave or convex. This approach dramatically extends the set of applicable objects for which stable grasps can be found. However, as a gradient descent method, this approach suffers from the problem of local minima. One way to combat this is to use a priori knowledge derived from an image of the object to select an initial placement of the hand near the correct position and orientation. I propose a method of visually identifying the direction from which the object is viewed (which is referred to as aspect recognition). This will ultimately be used to estimate the pose of the object, and consequently to place the hand before haptic exploration commences. The aspect recognition model is trained using experience from simultaneously manipulating and watching the target object. Constellations of image features are used to represent the appearance of the object at certain viewing angles. Clusters of viewing angles in which a given constellation is viewable are represented as probability density functions defined over the unit sphere. By combining the evidence from several observed constellations, one can infer an estimate of viewing angle given a novel image. I demonstrate empirically that constellations which are locally robust and yet selective over all possible viewing angles lead to improved aspect recognition rates over the ones that do not satisfy these properties.
Sphere Juggler: fast context retrieval in support of working spheres

Information workers typically demand the aggregation of multiple information resources related to their activities such as documents, contacts, and emails. Current mechanisms for aggregation of resources lack enough flexibility to collect different kinds of information and offer no support to facilitate their prompt retrieval. This work presents Sphere Juggler, a system that integrates seamlessly with the popular Microsoft Windows interface facilitating the grouping of information related with the current activities of people, as well as a fast switching between them. The architecture of the system and its interface are described. A preliminary evaluation of the system indicates that people envisions important benefits by having the functionality offered by the system.
Implementation Brief: Involving Users in the Implementation of an Imaging Order Entry System

Physician order entry is a powerful function of a computerized hospital information system. Although designed to be clinician-driven, the imaging section of the order entry system may not be designed optimally to engage the clinician with imaging procedures logically organized for the clinician's typical work patterns. There also may be resistance among overburdened clinicians in having to take the time to learn a new computer system and to assume "clerk's duties" of entering imaging orders. A potential means to address clinician opposition is to cooperatively engage each clinical service in the design of an imaging order entry system with customized menus for each service. This article reports a step-by-step process for the implementation of an imaging order entry system with specialized menus for an orthopedic service. This implementation process includes (1) identification of key personnel, (2) familiarization with the system, (3) discussion and dialogue between key personnel, (4) addressing specific problems, (5) education and orientation of the target group, (6) initial implementation, (7) feedback and improvement, (8) demonstration project (time study) to foster acceptance, and (9) ongoing enhancement.
Discovering Co-Relations on Research Topics and Authors from the PubMed Database

PubMed is a service of the U.S. National Library of Medicine that provides access to over 17 million citations in life science journals. In order to find patterns among these citations, this paper describes a data mining approach to discover co-relationships between paper’s authors and keywords stored in PubMed database. We applied association rules and dependency networks techniques to discover useful information in this database.
Ka-Band dielectric lens antenna for resolution enhancement of a GPR

This paper focuses on the analysis and design of a dielectric lens antenna and its application for ground penetrating radar (GPR) at millimeter waves. The work investigates the influence of different design parameters on the resolution performance of GPR using a dielectric lens for focusing. The performance of the optical focusing of the dielectric lens is compared to a synthetic-aperture-Radar (SAR) algorithm. Our purpose is to optimize the spatial resolution of a Ka-Band (26-40 GHz) GPR. A dielectric lens is designed to minimize the footprint of the antenna. The lens focuses the radiated energy from the feeding point to a small spot onto the soil surface. A commercial time-domain solver based on finite-integration-technique (FIT) is used to simulate the electromagnetic characteristics of the lens antenna model. A lens prototype is fabricated and tested at our GPR test site. The investigation of the microwave images for special targets shows that both focusing methods, namely the proposed lens antenna and SAR algorithm, improve the image resolution. However the experimental results reveal that SAR applied to the unfocussed data outperforms the dielectric lens.
Herschel ? -ATLAS/GAMA: The Environmental Density of Far-Infrared Bright Galaxies at z 0:5

We compare the environmental and star formation properties of far-infrared detected and non-far-infrared detected galaxies out to z ˜ 0.5. Using optical spectroscopy and photometry from the Galaxy And Mass Assembly (GAMA) and Sloan Digital Sky Survey, with far-infrared observations from the Herschel Astrophysical Terahertz Large Area Survey (ATLAS) Science Demonstration Phase, we apply the technique of Voronoi tessellations to analyse the environmental densities of individual galaxies. Applying statistical analyses to colour, r-band magnitude and redshift-matched samples, we show that there is a significant difference at the 3.5sigma level between the normalized environmental densities of these two populations. This is such that infrared emission (a tracer of star formation activity) favours underdense regions compared to those inhabited by exclusively optically observed galaxies selected to be of the same r-band magnitude, colour and redshift. Thus, more highly star-forming galaxies are found to reside in the most underdense environments, confirming previous studies that have proposed such a correlation. However, the degeneracy between redshift and far-infrared luminosity in our flux-density-limited sample means that we are unable to make a stronger statement in this respect. We then apply our method to synthetic light cones generated from semi-analytic models, finding that over the whole redshift distribution the same correlations between star formation rate and environmental density are found.