Miracle-dz/UniFAR-FTUs huggingface dataset:
Rehabilitation Counselors’ Use and Perceptions of Peer-Reviewed Publications

Peer-reviewed publications are one way for researchers to communicate information about service delivery to rehabilitation counselors. However, little is known about rehabilitation counselors’ actual use of peer-reviewed publications. Thus, the current research explored the extent to which rehabilitation counselors (N = 334) read and use peer-reviewed publications, factors associated with their reading and using peer-reviewed publications, and several items assessing their judgments about peer-reviewed publications. Overall, we found that rehabilitation counselors used peer-reviewed publications a moderate amount, held generally positive judgments about peer-reviewed publications, and reported wanting to use information from peer-reviewed publications with a greater percentage of clients than they actually did. We also found that counselors’ reading and using of peer-reviewed publications increased as counselor opinions of peer-reviewed publications were more positive and as counselors perceived their professional organizations, universities, agencies, and supervisors encouraged reading and using peer-reviewed publication. Collectively, we believe the current study is useful for researchers to generate and communicate research to rehabilitation counselors.
Automatically capturing source code context of NL-queries for software maintenance and reuse

As software systems continue to grow and evolve, locating code for maintenance and reuse tasks becomes increasingly difficult. Existing static code search techniques using natural language queries provide little support to help developers determine whether search results are relevant, and few recommend alternative words to help developers reformulate poor queries. In this paper, we present a novel approach that automatically extracts natural language phrases from source code identifiers and categorizes the phrases and search results in a hierarchy. Our contextual search approach allows developers to explore the word usage in a piece of software, helping them to quickly identify relevant program elements for investigation or to quickly recognize alternative words for query reformulation. An empirical evaluation of 22 developers reveals that our contextual search approach significantly outperforms the most closely related technique in terms of effort and effectiveness.
Nanoscale soldering of positioned carbon nanotubes using highly conductive electron beam induced gold deposition

We have developed an in-situ method for controlled positioning of carbon nanotubes followed by highly conductive contacting of the nanotubes, using electron beam assisted deposition of gold. The positioning and soldering process takes place inside an Environmental Scanning Electron Microscope (E-SEM) in the presence of a source of gold-organic precursor gas. Bridges deposited between suspended microelectrodes show resistivities down to 10/sup -4/ /spl Omega/cm and Transmission Electron Microscopy (TEM) of the deposits reveals a dense core of gold particles surrounded by a crust of small gold nanoparticles embedded in a carbon matrix. Nanoscale soldering of multi-walled carbon nanotubes (MWNT) onto microelectrodes was achieved by deposition of a conducting gold line across a contact point between nanotube and electrode. The solderings were found to be mechanically stronger than the carbon nanotubes. We have positioned MWNTs to bridge the gap between two electrodes, and formed soldering bonds between the tube and each of the electrodes. All nanotube bridges showed ohmic resistances in the range 10-30 k/spl Omega/. We observed no increase in resistance after exposing the MWNT bridge to air for days.
How Trade Partners Make Their Decision in Cyberspace: A Research Based on Stochastic Games

In E-commerce world, participants’ action selection depends on other participants’ choice. We make use of a popular method in computer branch to analyze behaviors of people in internet and bring forward a different view to the issue. Conflict game is one kind of situations which happens frequently. Even if allowing interaction or negotiation, participants are hard to reach agreement under this kind of conflicts, which descends system performance. We adopt a rational but conservative action selection method, namely, minimizing regret function in worst case. By this method lost incurred possibly in future is lowest under this very policy, and Nash equilibrium mixed policy is obtained when without information about other agents. Based on regret reinforcement learning model and algorithm for conflict game under multi-agent complex environment are put forward. Additionally, introduce Nash-q to analyze the general-sum game and adapt itself to no-zero-sum situation in E-commerce.
APOE and FABP2 Polymorphisms and History of Myocardial Infarction, Stroke, Diabetes, and Gallbladder Disease

Dysfunctional lipid metabolism plays a central role in pathogenesis of major chronic diseases, and genetic factors are important determinants of individual lipid profiles. We analyzed the associations of two well-established functional polymorphisms (FABP2 A54T and APOE isoforms) with past and family histories of 1492 population samples. FABP2-T54 allele was associated with an increased risk of past history of myocardial infarction (odds ratio (OR) = 1.51). Likewise, the subjects with APOE4, compared with E2 and E3, had a significantly increased risk of past history myocardial infarction (OR = 1.89). The OR associated with APOE4 was specifically increased in women for past history of myocardial infarction but decreased for gallstone disease. Interactions between gender and APOE isoforms were also significant or marginally significant for these two conditions. FABP2-T54 allele may be a potential genetic marker for myocardial infarction, and APOE4 may exert sex-dependent effects on myocardial infarction and gallbladder disease.
Soft vector processors with streaming pipelines

Soft vector processors (SVPs) achieve significant performance gains through the use of parallel ALUs. However, since ALUs are used in a time-multiplexed fashion, this does not exploit a key strength of FPGA performance: pipeline parallelism. This paper shows how streaming pipelines can be integrated into the datapath of a SVP to achieve dramatic speedups. The SVP plays an important role in supplying the pipeline with high-bandwidth input data and storing its results using on-chip memory. However, the SVP must also perform the housekeeping tasks necessary to keep the pipeline busy. In particular, it orchestrates data movement between on-chip memory and external DRAM, it pre- or post-processes the data using its own ALUs, and it controls the overall sequence of execution. Since the SVP is programmed in C, these tasks are easier to develop and debug than using a traditional HDL approach. Using the N-body problem as a case study, this paper illustrates how custom streaming pipelines are integrated into the SVP datapath and multiple techniques for generating them. Using a custom pipeline, we demonstrate speedups over 7,000 times and performance-per-ALM over 100 times better than Nios II/f. The custom pipeline is also 50 times faster than a naive Intel Core i7 processor implementation.
Resource Analysis in the COSTA System

Having information about the execution cost of programs, i.e., the amount of resources that the execution will require, is useful for many different purposes, including program optimization, verification and certification. Reasoning about execution cost is difficult and error-prone. Therefore, it is widely recognized that cost analysis, sometimes also referred to as resource analysis or automatic complexity analysis, is quite important. COSTA is a state-of-the-art cost and termination analyzer which automates this task. The system is able to infer upper and lower bounds on the resource consumption of a large class of programs. Given a program P , the analysis results allow bounding the cost of executing P on any input data x without having to actually run P (x). The first successful proposal for automatically computing the complexity of programs was the seminal work of Wegbreit [33]. Since then, a number of cost analysis frameworks have been proposed, mostly in the context of declarative programming languages (functional programming [23, 27, 32, 28, 17] and logic programming [18, 25]). Cost analysis of imperative programming languages has received significantly less attention. It is worth mentioning the pioneering work of [1]. To the best of our knowledge, COSTA has been the first system which automatically infers bounds on cost for a large class of Java-like programs, getting meaningful results. The system is implemented in Prolog (it runs both on Ciao [20] and SWI Prolog [34]) and uses the Parma Polyhedra Library [16] for manipulating linear constraints. More info on COSTA is available from its website, where it can be used from a web interface.
Ensemble Pruning via Constrained Eigen-Optimization

An ensemble is composed of a set of base learners that make predictions jointly. The generalization performance of an ensemble has been justified both theoretically and in practice. However, existing ensemble learning methods sometimes produce unnecessarily large ensembles, with an expense of extra computational costs and memory consumption. The purpose of ensemble pruning is to select a subset of base learners with comparable or better prediction performance. In this paper, we formulate the ensemble pruning problem into a combinatorial optimization problem with the goal to maximize the accuracy and diversity at the same time. Solving this problem exactly is computationally hard. Fortunately, we can relax and reformulate it as a constrained eigenvector problem, which can be solved with an efficient algorithm that is guaranteed to converge globally. Convincing experimental results demonstrate that this optimization based ensemble pruning algorithm outperforms the state-of-the-art heuristics in the literature.
Processor-core based design and test

This paper responds to the rapidly increasing use of various cores for implementing systems-on-a-chip. It specifically focusses on processor cores. We give some examples of cores, including DSP cores and application-specific instruction-set processors (ASIPs). We mention market trends for these components, and we touch design procedures, in particular the use of compilers. Finally, we discuss the problem of testing core-based designs. Existing solutions include boundary scan, embedded in-circuit emulation (ICE), the use of processor resources for stimuli/response compaction and self-test programs.
Interactive Evolutionary Design of Motion Variants

This paper presents an intuitive method for novice users to interactively design custom populations of stylized, heterogeneous motion, from one input motion clip, thus allowing the user to amplify an existing database of motions. We allow the user to set up lattice deformers which are used by a genetic algorithm to manipulate the animation channels of the input motion and create new motion variations. Our interactive evolutionary design environment allows the user to traverse the available space of possible motions, presents the user with populations of motion, and gradually converges to a satisfactory set of solutions. Each generated motion sequence can undergo a motion ltering process subject to user-specied, high-level metrics to produce a result crafted to t the designer's interest.
A case study in knowledge elicitation for institutional memory persevation using concept maps

This article contains a description of knowledge elicitation for institutional memory preservation in the nuclear power industry. Because of the large number of pending retirements in the industry, the preservation of expertise is deemed a critical concern, and efforts to do so are extensive. The work described in this article pertains to knowledge elicitation (KE) based on the creation of Concept Maps in the domain of air effluent sensing, analysis and compliance. This paper starts with a brief description of literature pertaining to knowledge elicitation using Concept Maps. This review is followed by a discussion of preparations for this effort made by the elicitors, attributes of the expert, the schedule of events pertaining to the effort, the conduct and results of the sessions, challenges faced along the way, and preliminary results of the endeavor.
Association for Information Systems Ais Electronic Library (aisel) Research Process Management Research Process Management

Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract Though the value of a process-centred view for the understanding and (redesign n of corporations has been widely accepted, our understanding of the research process in Information Systems (IS) remains superficial. A process centred view on IS research considers the conduct of a research project as a sequence of activities involving resources, data and research artifacts. As such, it helps to reflect on more effective ways to conduct IS research, to consolidate and compare diverse practices and to complement the focus on research methodologies with research project practices. This paper takes a first step towards the discipline of 'Research Process Management' by exploring the features of research processes and by presenting a preliminary approach for research process design that can facilitate modelling IS research. The case study method and the design science research method are used as examples to demonstrate the potential of such reference research process models.
Living up to Madison ’ s Proposition in a Rapidly Changing World

The AMMTIAC Quarterly is published by the Advanced Materials, Manufacturing, and Testing Information Analysis Center (AMMTIAC). AMMTIAC is a DoD-sponsored Information Analysis Center, administratively managed by the Defense Technical Information Center (DTIC). Policy oversight is provided by the Office of the Secretary of Defense, Director of Defense Research and Engineering (DDR&E). The AMMTIAC Quarterly is distributed to more than 18,000 materials, manufacturing, and testing professionals around the world. We welcome your input! To submit your related articles, photos, notices, or ideas for future issues, please contact: At a conference some months ago, I sat in on a presentation about the technical needs of the Unified Combatant Commands (CoCOMs). While much of the presentation covered familiar ground such as the need for a more agile and autonomous warfighter, a discussion of improvised explosive devices (IEDs) piqued my interest. The speaker made an appeal to us, his audience , to accelerate the rate of innovation to develop newer, more effective IED detection systems in significantly less time than is being done at present. Why? Because local insurgent groups are developing new generations of IEDs, resistant to our latest detection techniques, in much less time than our side can come up with new detectors. In short, the enemy is developing new weapons faster than we can invent ways to detect and thwart them. I was rather stunned by this revelation. At first, I could not understand how it would even be possible for the world's number one military power to be bested by a ragtag group of militants. However, I came to realize that our enemy had not defeated our forces or even our technology, but rather our standard practices. Terrorists don't have to comply with contracting rules, specifications and standards, or submit to any type of design review when coming up with new weapons. Lastly, they are not looking for 100 percent solutions, but rather are willing to settle for less in exchange for expediency. As a result, their cycle time for developing new weapons is a fraction of ours. Should we then consider scrapping our present acquisition system for a less orthodox, " Wild West " approach that is more ad hoc in nature? I think not. While not perfect , the plusses far outweigh the minuses for our present system. However, it is still incumbent on all of us in the defense community to look for ways to adapt the …
Spider mites suppress tomato defenses downstream of jasmonate and salicylate independently of hormonal crosstalk

Plants respond to herbivory by mounting a defense. Some plant-eating spider mites (Tetranychus spp.) have adapted to plant defenses to maintain a high reproductive performance. From natural populations we selected three spider mite strains from two species, Tetranychus urticae and Tetranychus evansi, that can suppress plant defenses, using a fourth defense-inducing strain as a benchmark, to assess to which extent these strains suppress defenses differently. We characterized timing and magnitude of phytohormone accumulation and defense-gene expression, and determined if mites that cannot suppress defenses benefit from sharing a leaf with suppressors. The nonsuppressor strain induced a mixture of jasmonate- (JA) and salicylate (SA)-dependent defenses. Induced defense genes separated into three groups: ‘early’ (expression peak at 1 d postinfestation (dpi)); ‘intermediate’ (4 dpi); and ‘late’, whose expression increased until the leaf died. The T. evansi strains suppressed genes from all three groups, but the T. urticae strain only suppressed the late ones. Suppression occurred downstream of JA and SA accumulation, independently of the JA–SA antagonism, and was powerful enough to boost the reproductive performance of nonsuppressors up to 45%. Our results show that suppressing defenses not only brings benefits but, within herbivore communities, can also generate a considerable ecological cost when promoting the population growth of a competitor.
Efficient computation of multiscale entropy in biomedicine

Multiscale entropy (MSE) is a measurement of a system's complexity. It has been successfully verified and applied in biological signals and others. However, the algorithms proposed in the literature require a quadratic execution time. In this paper, we develop a new algorithm to reduce the computational time using an integer type of data storage for biomedicine signals. The execution times of experimental results with RR and EEG signals show a significant improvement from 20 to 100 times compared to the method proposed in the literature for N = 80,000.
MetaGeneTack: ab initio detection of frameshifts in metagenomic sequences

Summary: Frameshift (FS) prediction is important for analysis and biological interpretation of metagenomic sequences. Since a genomic context of a short metagenomic sequence is rarely known, there is not enough data available to estimate parameters of species-specific statistical models of protein-coding and non-coding regions. The challenge of ab initio FS detection is, therefore, two fold: (i) to find a way to infer necessary model parameters and (ii) to identify positions of frameshifts (if any). Here we describe a new tool, MetaGeneTack, which uses a heuristic method to estimate parameters of sequence models used in the FS detection algorithm. It is shown on multiple test sets that the MetaGeneTack FS detection performance is comparable or better than the one of earlier developed program FragGeneScan. Availability and implementation: MetaGeneTack is available as a web server at http://exon.gatech.edu/GeneTack/cgi/metagenetack.cgi. Academic users can download a standalone version of the program from http://exon.gatech.edu/license_download. cgi. Contact: borodovsky@gatech.edu Supplementary information: Supplementary data are available at Bioinformatics online.
Multi-informant investigation of college student drinking behaviors and social anxiety : the role of perceived descriptive and injunctive norms

Problematic alcohol use in college is a major public health concern. Identification of variables related to development of alcohol-related problems is an important research goal. Social anxiety and perceived social norms are two such variables. Social anxiety is associated with concurrent experience of alcohol-related problems and development of future problems with alcohol. Perceived norms, especially norms related to perceived approval of risky alcohol use (i.e., injunctive norms), are related to greater drinking problems among college students with higher social anxiety. College students typically overestimate the amount that other students in general use alcohol, and the discrepancy between perceived and actual norms is related to problems with alcohol. However, discrepancies between perceived and actual norms have not been evaluated for proximal peer group alcohol quantity, frequency, alcohol-related problems, and approval of risky drinking. The current study sought to identify if such discrepancies existed by asking 56 undergraduate online survey respondents to complete measures of alcohol use, alcohol-related problems, and perceived norms, and to refer one close friend who would complete a battery of self-report measures of their own alcohol use and actual norms. Results supported that students overestimated their friends’ injunctive norms and alcohol problems, but not descriptive norms. Social anxiety was negatively correlated with drinking frequency and not significantly correlated with alcohol-related problems. Higher misperception of friends’ problems was related to greater alcohol use quantity and alcohol-related problems. Higher injunctive norms discrepancy was related to fewer drinking occasions. Results highlight the importance of considering proximal peer groups when investigating the role of perceived norms and drinking
Optimal Metric SLAM for Autonomous Navigation Assistance

In this paper we present a 6DOF metric SLAM system for outdoor enviroments using a stereo camera, mounted next to the rear view mirror, as the only sensor. By means of SLAM the vehicle global position and a sparse map of natural landmarks are both estimated at the same time. The system combines both bearing and depth information using two different types of feature parametrization: inverse depth and 3D. Through this approach near and far features can be mapped, providing orientation and depth information respectively. Natural landmarks are extracted from the image and are stored as 3D or inverse depth points, depending on a depth threshold. At the moment each landmark is initialized, the normal of the patch surface is computed using the information of the stereo pair. In order to improve long-term tracking a 2D warping is done considering the normal vector information of each patch. This Visual SLAM system is focused on the localization of a vehicle in outdoor urban environments and can be fused with other cheap sensors such as GPS, so as to produce accurate estimations of vehicle’s localization in a road. Some experimental results under outdoor environments and conclusions are presented.
Modeling and Investigation of Active Noise Control System

The results of modeling and investigation of experimental head set with active noise control system are presented. On results of simulation the rated step size of adaptive algorithm was choose. The structure of experiment equipment and measurement results of the passive insertion loss, total insertion loss, active insertion loss, dependence of total insertion loss on the angle of experimental head sets rotation and dependence of total insertion loss on the sound pressure level of environment noise are presented. Ill. 12, bibl. 9 (In English; summaries in English, Russian and Lithuanian).