Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Functional Fitness and Cognitive Training of Physical Disabilities of Institutions

According to an investigation done by Taiwan Ministry of the Interior in 2013, there was more than 90% of the disability care institutions mainly based on life care. Previous studies have shown that individuals can effectively improve physical and cognitive training, improved in independent living and everyday competence. The purpose of the study was to investigate influence of the intervention program applying functional fitness and cognitive training to disabled residents in the institution. The subjects were disabled persons of a care institution in southern Taiwan and were randomly divided into training and control groups, both having 17 subjects. The age of the subjects was between 56 and 98 years with a mean age of 79.08 ± 10.04 years; the subjects of training group implemented 12 weeks of training on physical and cognitive training, while the control group subjects did not have any training program. The results revealed that subjects of the training group have significantly improved their functional shoulder rotation flexibility of left and right anterior hip muscle group flexibility of right, sitting functional balance of left and right, naming, attention, delayed recall, orientation, and Montreal cognitive assessment (MOCA). The study suggested developing physical fitness programs and physical and cognitive prescriptions for the disabled people of the institutions.
Qualitative and quantitative results of interferon-γ release assays for monitoring the response to anti-tuberculosis treatment

Background/Aims The usefulness of interferon-γ release assays (IGRAs) in monitoring to responses to anti-tuberculosis (TB) treatment is controversial. We compared the results of two IGRAs before and after anti-TB treatment in same patients with active TB. Methods From a retrospective review, we selected patients with active TB who underwent repeated QuantiFERON-TB Gold (QFN-Gold, Cellestis Limited) and T-SPOT.TB (Oxford Immunotec) assays before and after anti-TB treatment with first-line drugs. Both tests were performed prior to the start of anti-TB treatment or within 1 week after the start of anti-TB treatment and after completion of treatment. Results A total of 33 active TB patients were included in the study. On the QFN-Gold test, at baseline, 23 cases (70%) were early secreted antigenic target 6-kDa protein 6 (ESAT-6) or culture filtrate protein 10 (CFP-10) positive. On the T-SPOT. TB test, at baseline, 31 cases (94%) were ESAT-6 or CFP-10 positive. Most of patients remained both test-positive after anti-TB treatment. Although changes in interferon-γ release responses over time were highly variable in both tests, there was a mean decline of 27 and 24 spot-forming counts for ESAT-6 and CFP-10, respectively on the T-SPOT.TB test (p < 0.05 for all). Conclusions Although limited by the small number of patients and a short-term follow-up, there was significant decline in the quantitative result of the T-SPOT. TB test with treatment. However, both commercial IGRAs may not provide evidence regarding the cure of disease in Korea, a country where the prevalence of TB is within the intermediate range.
Tinnitus and Other Auditory Problems – Occupational Noise Exposure below Risk Limits May Cause Inner Ear Dysfunction

The aim of the investigation was to study if dysfunctions associated to the cochlea or its regulatory system can be found, and possibly explain hearing problems in subjects with normal or near-normal audiograms. The design was a prospective study of subjects recruited from the general population. The included subjects were persons with auditory problems who had normal, or near-normal, pure tone hearing thresholds, who could be included in one of three subgroups: teachers, Education; people working with music, Music; and people with moderate or negligible noise exposure, Other. A fourth group included people with poorer pure tone hearing thresholds and a history of severe occupational noise, Industry. Ntotal = 193. The following hearing tests were used: − pure tone audiometry with Békésy technique, − transient evoked otoacoustic emissions and distortion product otoacoustic emissions, without and with contralateral noise; − psychoacoustical modulation transfer function, − forward masking, − speech recognition in noise, − tinnitus matching. A questionnaire about occupations, noise exposure, stress/anxiety, muscular problems, medication, and heredity, was addressed to the participants. Forward masking results were significantly worse for Education and Industry than for the other groups, possibly associated to the inner hair cell area. Forward masking results were significantly correlated to louder matched tinnitus. For many subjects speech recognition in noise, left ear, did not increase in a normal way when the listening level was increased. Subjects hypersensitive to loud sound had significantly better speech recognition in noise at the lower test level than subjects not hypersensitive. Self-reported stress/anxiety was similar for all groups. In conclusion, hearing dysfunctions were found in subjects with tinnitus and other auditory problems, combined with normal or near-normal pure tone thresholds. The teachers, mostly regarded as a group exposed to noise below risk levels, had dysfunctions almost identical to those of the more exposed Industry group.
Competitive Costs of Disclosure by Biotech IPOs

This study empirically examines the impact of various competitive cost proxies on the extent of product-related information disclosed by biotech initial public offerings (IPOs) in their prospectuses. The choice of biotech companies, which operate in a fiercely competitive environment, crystalizes the importance of competitive disclosure costs. The focus on product-related information is aimed at a disclosure set for which potential competitive harm is a priori substantial. Our empirical analyses establish three disclosure determinants: the stage of product development, availability of patent protection, and venture capital backing. Additionally, we find the relative size of ownership retained by pre-IPO owners to be negatively related to the extent of disclosure, as predicted by signaling models. We also document the expected inverse relation between the extent of information conveyed by the biotech IPOs and widely used measures of information asymmetry: the bid-ask spread and quoted depth, as well as stock return volatility. Copyright University of Chicago on behalf of the Institute of Professional Accounting, 2004.
Design of Multi-echelon Supply Chain Networks under Demand Uncertainty

We consider the design of multiproduct, multi-echelon supply chain networks. The networks comprise a number of manufacturing sites at fixed locations, a number of warehouses and distribution centers of unknown locations (to be selected from a set of potential locations), and finally a number of customer zones at fixed locations. The system is modeled mathematically as a mixed-integer linear programming optimization problem. The decisions to be determined include the number, location, and capacity of warehouses and distribution centers to be set up, the transportation links that need to be established in the network, and the flows and production rates of materials. The objective is the minimization of the total annualized cost of the network, taking into account both infrastructure and operating costs. A case study illustrates the applicability of such an integrated approach for production and distribution systems with or without product demand uncertainty.
Using temporal correlation for fault localization in dynamically changing networks

A mobile ad hoc network creates a dynamic environment where node mobility can cause periodic changes in routes. Most existing fault localization algorithms assume availability of a complete and/or deterministic dependency model. Such assumptions cannot be made in the dynamically changing networks. This paper is aimed at developing a fault diagnosis architecture and algorithm to address the issue of dynamically changing dependencies in networks. We propose an architecture to capture the changes in dependencies and introduce a temporal correlation algorithm to perform fault diagnosis with the dynamically changing dependency information. We present an experimental evaluation of our work through simulation results using Qualnet. Copyright © 2007 John Wiley & Sons, Ltd.
An Implementation Method for Converting the Erhu Music from Wav to Mid

This article mainly introduced the specific process of transforming an erhu (Chinese violin) music file from wav to mid. The process included abstracting the fundamental frequency of the notes by means of DWT and FFT analysis, then transforming the fundamental frequency to midi notes on the basis of specific message format of midi files, and setting specified dual-threshold according to the properties of erhu to screen valid notes, and finally composing them with other control information to form midi files.
Aging, Neuropsychology, and Cognition: A Journal on Normal and Dysfunctional Development

The relations among age, inhibition, perceptual speed, susceptibility to interference, and working memory were examined in a sample of 301 adults age 20 to 90. Younger adults were found to have more efficient inhibitory mechanisms than were older adults. Significant inhibition, however, was found in all age groups, including the older age group. Older adults were also found to be more susceptible to interference from irrelevant information. There was a small negative relation between interference and inhibition, suggesting that participants with the most efficient inhibitory functioning may be the least susceptible to interference. Perceptual speed, an index of processing efficiency, was found to mediate nearly all of the age-related variance in inhibition and interference. Interference, but not inhibition, was found to mediate some of the age-related variance in working memory. Age-related changes in the efficiency of inhibitory functions in the attentional system have been hypothesized to contribute to age differences in working memory (Hasher & Zacks, 1988). Hasher and Zacks (1988) proposed that changes in working memory function with increased age may be due to two processes: (a) a decreased ability to inhibit or prevent irrelevant information from entering into working memory, and (b) an increase in the susceptibility to interference or distraction from irrelevant information. A malfunction of inhibitory functions, therefore, is hypothesized to allow irrelevant information into working memory leading to poorer memory performance. Not only is more irrelevant information allowed into working memory but, in addition, once this irrelevant information is in working memory, it may remain in working memory longer for older than for younger adults (May, Kane, & Hasher, 1995). Because a malfunction in the inhibitory system allows irrelevant information to be present in working memory, it may lead to an increase in interference from this irrelevant information. Thus a decrease in inhibitory function may contribute to age differences in susceptibility to interference. One consequence of these changes may be poorer working memory function. One paradigm used to measure inhibitory function in selective attention is the negative priming paradigm. Negative priming refers to an
Digital R-S-T controller for current loop control of DC/DC buck converter: A photovoltaic (PV) array simulator under partial shading condition

Nowadays power electronics converter that uses for emulate electrical characteristic V-I curve of renewable dc power source are widely interested in research fields. This paper concerns with a photovoltaic (PV) array simulator using a classical dc/dc buck converter as power stage. The inductor current of the converter is used as control variable that is characterized by digital R-S-T controller, so the converter can emulate accurately the V-I curve, even under partial shading condition. Fundamental of controller design is presented with the technique of canceling discrete zero of plant. The details of PV array model are also investigated in order to prepare an appropriated current loop command signal. The design concept is realized by 330 Watts of prototype. Finally, the experimental results validate the proposed controller.
The Thummer Mapping Project (ThuMP)

This paper presents the Thummer Mapping Project (ThuMP), an industry partnership project between ThumMotion P/L and The University of Western Sydney (UWS). ThuMP sought to developing mapping strategies for new interfaces for musical expression (NIME), specifically the Thummer#8482;, which provides thirteen simultaneous degrees of freedom. This research presents a new approach to the mapping problem resulting from a primary design research phase and a prototype testing and evaluation phase. In order to establish an underlying design approach for the Thummer#8482; mapping strategies, a number of interviews were carried out with high-level acoustic instrumental performers, the majority of whom play with the Sydney Symphony Orchestra, Sydney, Australia. Mapping strategies were developed from analysis of these interviews and then evaluated in trial usability testing.
Semi-automatic Search-Based Test Generation

Search-based testing techniques can efficiently generate test data to achieve high code coverage. However, when the fitness function does not provide sufficient guidance, the search will only generate optimal results by chance. Yet, where the search algorithm struggles, a human tester with domain knowledge can often produce solutions easily. We therefore include the tester in the test generation process: When the search stagnates, the tester is given an opportunity to improve the current solution, and these improvements are fed back to the search. In particular, relevant problems occur often when generating tests for object-oriented languages, where test cases are sequences of method calls. Constructing complex objects through sequences of method calls is difficult, and often the traditional branch distance offers little guidance - yet for a human tester the same task is often trivial. In this paper, we present a semi-automatic test generation approach based on our search-based EVO SUITE tool, and evaluate the usefulness and potential on a set of example classes.
Characterizations of exchangeable partitions and random discrete distributions by deletion properties

We prove a long-standing conjecture which characterises the Ewens-Pitman two- parameter family of exchangeable random partitions, plus a short list of limit and exceptional cases, by the following property: for each n = 2, 3,. , if one of n indi- viduals is chosen uniformly at random, independently of the random partitionn of these individuals into various types, and all individuals of the same type as the cho- sen individual are deleted, then for each r > 0, given that r individuals remain, these individuals are partitioned according to � 0 for some sequence of random partitions (� 0 ) which does not depend on n. An analogous result characterizes the associ- ated Poisson-Dirichlet family of random discrete distributions by an independence property related to random deletion of a frequency chosen by a size-biased pick. We also survey the regenerative properties of members of the two-parameter family, and settle a question regarding the explicit arrangement of intervals with lengths given by the terms of the Poisson-Dirichlet random sequence into the interval partition induced by the range of a homogeneous neutral-to-the right process.
Automatic modelling of neural networks for time series prediction - in search of a uniform methodology across varying time frequencies

In time series prediction, modelling neural networks poses multiple challenges in specifying suitable input vectors, network architectures, and training parameters depending on the underlying structure of the time series data. The data properties are often determined by the frequency in which the time series is measured, such as low frequency data of yearly, quarterly or monthly observations, or high frequency data of weekly, daily, hourly or even shorter time intervals. As different time frequencies require distinct modelling heuristics, employing neural networks to predict a set of time series of unknown domain, which may exhibit different characteristics and time frequencies, remains particularly challenging and limits the development of fully automated forecasting methodologies for neural networks. We propose a methodology that unifies proven statistical modelling approaches based upon filters and best practices from previous forecasting competitions into one framework, providing automatic forecasting without manual intervention by inferring all information from the data itself to model a diverse set of time series of varying time frequency, like the ESTSP’08 dataset.
Optimum Input and Output Filters for a Single-Phase Rectifier Power Supply

The ``optimum'' output filter inductance Lf and the input filter capacitor Ci for a single-phase uncontrolled bridge rectifier employed for low power de-to-dc converters or inverters is established. The filter Ci is optimized to obtain maximum input power factor, minimum filter inductance, and minimum output dc voltage regulation. A design example is provided and theoretical results have been verified on an experimental model.
Replicating Interactive Surfaces Using Distortion Techniques

In this paper we present a distortion technique that provides a focus & context view of an interactive surface’s screen on a mobile device. Simply showing a reduced version of the surface’s screen on the mobile device would not have been sufficient as UI elements could be too small to be manipulated. Users modify the region of interest (ROI) of the focus & context distortion via gestural input on their device. We employ this technique in our system that transmits interaction on the mobile device via TUIO to the interactive surface. Thus, users may interact remotely with any TUIO-based application on the surface without additional implementation effort while real-time constraints are still met.
T-string-uniication: Unifying Preexes in Non-classical Proof Methods Workshop on Theorem Proving with Analytic Tableaux and Related Methods ? Forschungsbericht Aida{95{09 T-string-uniication: Unifying Preexes in Non-classical Proof Methods

For an eecient proof search in non-classical logics, particular in intuitionistic and modal logics, two similar approaches have been established: Wallen's matrix characterization and Ohlbach's resolution calculus. Beside the usual term-uniication both methods require a specialized string-uniication to unify the so-called preexes of atomic formulae (in Wallen's notation) or world-paths (in Ohlbach's notation). For this purpose we present an eecient algorithm, called T-String-Uniication, which computes a minimal set of most general uniiers. By transforming systems of equations we obtain an elegant uniication procedure, which is applicable to the intui-tionistic logic J and the modal logic S4. With some modiications we are also able to treat the modal logics D, K, D4, K4, S5, and T. We explain our method by an intuitive graphical presentation, prove correctness, completeness, minimality, and termination and investigate its complexity.
A multiple internal model approach to movement planning

Under the hypothesis that any human motion could be decomposed into dynamic movement primitives (DMPs), sets of second order differential equations are used as the internal model (IM) to describe primitive movements. The spacial and temporal scalabilities of the internal model could be used to simplify the learning process. In this paper, we present an approach to movement learning based on internal models. By making use of the linear properties of internal models, we first investigate the possibility of generating similar movement patterns directly via the same internal model with the minimum changes in the internal model parameters, and avoid the reinforcement learning. Next, we consider more complex movements for which different internal models are needed. Based on the task decomposition, all movements can be classified into the sequential and parallel DMPs. The former requires a number of IMs to work sequentially so that a complicated movement can be performed. The latter also requires a number IMs to work in parallel to generate the needed movement. To mimic the human limb behavior, we use a two-link robot arm as the prototype to perform the movement in the process of letter writing.
Fifteen years of psychology in software engineering: Individual differences and cognitive science

Since the 1950's, psychologists have studied the behavioral aspects of software engineering. However, the results of their research have never been organized into a subfield of either software engineering or psychology. This failure results from the difficulty of integrating theory and data from the mixture of paradigms borrowed from psychology. This paper will review some of the psychological research on software engineering performed since the Garmisch Conference in 1968. This review will be organized under two of the psychological paradigms used in exploring programming problems: individual differences and cognitive science. The major theoretical and practical contributions of each area to the theory and practice of software engineering will be discussed. The review will end with a call for more research guided by the paradigm of cognitive science, since such results are the easiest to integrate with new developments in artificial intelligence and computer science theory.
The Retweet as a Function of Electronic Word-of-Mouth Marketing: A Study of Athlete Endorsement Activity on Twitter

The purpose of this study was to examine endorsement-related tweets from athletes and determine which characteristics of those tweets could increase the degree of electronic word-of-mouth marketing (eWOM) generated by the message. Previous literature has suggested that the retweet function in Twitter is a form of eWOM. Through the lens of eWOM, the concepts of vividness, interactivity, and congruence are used to understand what tweet characteristics generate the most retweets. A sample of professional-athlete endorsement and sponsored tweets (n = 669) was used and coded based on frameworks adapted from previous studies. Results indicated that the interaction between levels of high vividness and high interactivity generated the highest frequency of retweets. Reported findings could inform athletes and/or brand managers in ways to increase the eWOM of sponsored messages on Twitter.
THE FIRST POSITIVE DETECTION OF MOLECULAR GAS IN A GRB HOST GALAXY

We report on strong H2 and CO absorption from gas within the host galaxy of gamma-ray burst (GRB) 080607. Analysis of our Keck/LRIS afterglow spectrum reveals a very large H i column density () and strong metal-line absorption at zGRB = 3.0363 with a roughly solar metallicity. We detect a series of A − X bandheads from CO and estimate N(CO) = 1016.5±0.3 cm−2 and TCOex > 100 K. We argue that the high excitation temperature results from UV pumping of the CO gas by the GRB afterglow. Similarly, we observe H2 absorption via the Lyman–Werner bands and estimate with –300 K. The afterglow photometry suggests an extinction law with RV ≈ 4 and AV ≈ 3.2 mag and requires the presence of a modest 2175 Å bump. Additionally, modeling of the Swift XRT X-ray spectrum confirms a large column density with NH = 1022.58±0.04 cm-2. Remarkably, this molecular gas has extinction properties, metallicity, and a CO/H2 ratio comparable to those of translucent molecular clouds of the Milky Way, suggesting that star formation at high z proceeds in similar environments as today. However, the integrated dust-to-metals ratio is sub-Galactic, suggesting the dust is primarily associated with the molecular phase while the atomic gas has a much lower dust-to-gas ratio. Sightlines like GRB 080607 serve as powerful probes of nucleosynthesis and star-forming regions in the young universe and contribute to the population of “dark” GRB afterglows.