Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Algorithm and Application of Quantum Neural Networks with Quantum Weights

A novel neural networks model with quantum weights is present. Firstly, based on the information processing modes of biology neuron and quantum computing theory, a quantum neuron model is presented, which is composed of weighting, aggregating, activating, and inspiriting. Secondly the quantum neural networks model based on quantum neuron is constructed in which the input and the output are real vectors; the linked weight and the activation value are qubits. On the basic of the gradient descent algorithm, a learning algorithm of this model is proposed. It is shown that this algorithm is super-linearly convergent under certain conditions and can increase the probability of getting the global optimal solution. Finally, the availability of the model is illustrated in both convergence speed and convergence rate by two application examples of pattern recognition and function approximation.
A study and development on robotic drug storaging and dispensing system in drug logistics for a mid-sized hospital

This project expresses an idea about distribution medicines by using intelligent system which is included an information system, auto-guided vehicles (AGVs), a robot dispensing. However, this paper is intent to focus and narrow on the robot dispensing system. A robot dispensing system is to minimize staff worked load, increased effectiveness and decrease error. An observation in hospital was performing before implementation the system. Data was collected before and after implantation. All of data were analyzed. By the data continuously collected 30 working days in the hospital. The results are obviously shown that using dispensing robot system is able to minimize concerned problem, increased time efficiency almost 2 times compared with traditional procedure. Dispensing Robot System is trend to improving a management of drug distribution in drug storage. Moreover, staffs in this department are very satisfying this system because of useful for their working process.
Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling

Motor synergies explain how humans deal with control of their highly-redundant motor apparatus. In this study, we analyze the formation of motor synergies in a computational model for online motor learning, which is named Goal Babbling. The recently proposed Goal Babbling scheme addresses the learning of inverse models for motor control by goal-directed exploration and solves the redundancy problem by preferring efficient motions in the learning process. We show experimental results that verify the formation of kinematic motor synergies in the beginning of Goal Babbling. We further extract characteristics of the formed synergies under various conditions of exploratory perturbations. It turns out that the learned synergies strongly depend on the exploratory perturbation in action space.
Mean Reversion in Profitability for Non‐Listed Firms

The presence of mean reversion in profitability at the firm level is important for valuation and prediction of growth and earnings. We investigate the mean reversion in accounting profitability for Norwegian non-listed firms for the period 1988-2006. We find a mean reversion rate of about 0.44. This is higher than found in other studies. We also find that small firms have a higher mean reversion rate than large firms. Previously, price-to-book ratios have been used to investigate changes in profitability over time for listed firms. We examine bankruptcy risk as an alternative variable for unlisted firms. We find that bankruptcy risk may help explain changes in profitability, but the results are not as strong as found in previous work.
The Role of AGG Interruptions in the Transcription of FMR1 Premutation Alleles

Fragile X associated disorders are caused by a premutation allele in the fragile X mental retardation 1 gene (FMR1) and are hypothesized to result from the toxic effect of elevated levels of expanded FMR1 transcripts. Increased levels of FMR1 mRNA have indeed been reported in premutation carriers; however the mechanism by which expanded alleles lead to elevated levels of FMR1 mRNA in premutation carriers is unknown. Within the CGG repeat tract AGG interruptions are found, generally 1–3 present in normal/intermediate alleles (6–54 CGG repeats) and usually 0–1 in premutation alleles (55–200 CGG repeats). They are present at specific locations, generally occurring after 9 or 10 uninterrupted CGG repeats [(CGG)9AGG(CGG)9AGG(CGG)n ]. We evaluated both the number of AGG interruptions and the resulting length of the uninterrupted 3′ CGG repeat pure tract in premutation alleles derived from two large cohorts of male and female carriers to determine whether the presence of AGG interruptions or the length of a pure stretch of CGG repeats influence the levels of FMR1 mRNA in blood. Our findings indicate that neither the number of AGG interruptions, nor their position along the CGG tract have a significant affect on mRNA levels in premutation carriers. We also, as expected based on previous findings, observed a highly significant correlation between CGG repeat number (as both total length and length of pure CGG stretch) and FMR1 mRNA expression levels, in both males and females. Importantly, we did not observe any significant difference in FMR1 mRNA levels in premutation carriers based on age.
FOR IRREGULAR PROBLEMS-- DATA COPY REUSE AND RUNTIME PART _ IONING

This paper outlines two methods which we believe will play an important role in any distributed memory compiler able to handle sparse and unstructured problems. We describe how to link runtime partitioners to distributed memory compilers. In our scheme, programmers can implicitly specify how data and loop iterations are to be distributed between processors. This insulates users from having to deal explicitly with potentially complex algorithms that carry out work and data partitioning. We also describe a viable mechanism for tracking and reusing copies of off-processor data. In many programs, several loops access the same off-processor memory locations. As long as it can be verified that the values assigned to off-processor memory locations remain unmodified, we show that we can effectively reuse stored off-processor data. We present experimental data from a 3-D unstructured Euler solver run on an iPSC/860 to demonstrate the usefulness of our methods. IThis work was supported by the National Aeronautics and Space Administration under NASA Contract No. NAS1-18605 while the authors were in residence at the Institute for Computer Applications in Science and Engineering (ICASE), NASA Langley Research Center, Hampton, VA 23665. In addition, support for Saltz was provided by NSF from NSF Grant ASC-8819374.
Music Education with Autistic Students in the Mainstream Elementary Classroom

The present qualitative research study examines the question: How do primary/junior teachers use music education with Autism Spectrum Disorder (ASD) students in the mainstream classroom? This study helps to understand teachers’ use of music education as an educational strategy for students with ASD and if it is being used to its full potential in the classroom. Data collection was done through semi-structured interviews with three Ontario certified primary/junior teachers working in the Peel District. Data revealed four main themes: Teachers’ comfort level and experience in music education with ASD students, Teachers’ beliefs of the benefits in incorporating music education in their classroom, Music education resources, strategies, and materials for students with ASD, and Challenges teachers have experienced with music education and ASD students. Implications and recommendations for the education community and teacher practice are discuss and stress the importance of challenges teachers face in connecting with the supports and resources to meet their students’ needs.
Model-Based Prototype Development to Support Early Validation of Cyber-Physical System Specifications

[ Motivation ] In the engineering of cyber-physical systems, attention is given to early validation of requirements artifacts. The use of prototypes is one known technique to identify incorrectness and aberrations from the stakeholder intentions early. [ Problem ] Software prototypes of cyber-physical systems’ software, however, often need to be adapted to the prototype’s hardware, which may differ from the system’s hardware. This leads to differences between the system’s and the implemented prototype’s specification, impeding the applicability of validation results to the system’s requirements. [ Solution Idea ] To support the validation of requirements artifacts for cyber-physical systems, we propose the generation of an explicit prototype specification. Traceability relations aid the requirements engineer in deciding whether a finding actually corresponds to a defect in the requirements or whether it results from changes due to the prototype’s different hardware. [ Contribution ] In this paper, we propose a model-based pro-totyping approach for validating requirements artifacts of cyber-physical systems. The approach relies on the generation of an explicit prototype specification and on a categorization scheme for validation results. The latter allows determining the impact of the validation results on the system’s requirements, and facilitates the correction of errors.
An effective denial of service detection method using kernel based data

Today much research is being done on host based intrusion detection systems using of kernel based data. However, kernel based data also known as system calls, have a vast variety, which leads to large amounts of preprocessing time when implementing to intrusion detection systems. This paper proposes a method to efficiently detect denial of service attacks, which are continuous threat. Principal Component Analysis will be used to derive the principal components, a Bayesian network will be composed and the Bayesian classifier will be used for the detection.
Topology visualization of the optical power flow through a novel C-shaped nano-aperture

An ideal visualization tool that has not been used before in studying the optical behavior of near-field apertures is three-dimensional vector field topology. The global view of the vector field structure is deduced by locating singularities (critical points) within the field and augmenting these points with nearby streamlines. We have used for the first time, to the best of our knowledge, three-dimensional topology to analyze the topological differences between a resonant C-shaped nano-aperture and various nonresonant conventional apertures. The topological differences between these apertures are related to the superiority in power throughput of the C-aperture versus conventional round and square sub-wavelength apertures. We demonstrate how topological visualization techniques provide significant insight into the energy enhancement mechanism of the C aperture, and also shed light on critical issues related to the interaction between multiple apertures located in close proximity to each other, which gives rise to cross-talk, for example as a function of distance. Topological techniques allow us to develop design rules for the geometry of these apertures and their desired spot sizes and brightness. The performance of various sub-wavelength apertures can also be compared quantitatively based on their topology. Since topological methods are generically applicable to tensor and vector fields, our approach can be readily extended to provide insight into the broader category of finite-difference-time-domain nano-photonics and nano-science problems.
Bitwidth cognizant architecture synthesis of custom hardwareaccelerators

Program-in chip-out (PICO) is a system for automatically synthesizing embedded hardware accelerators from loop nests specified in the C programming language. A key issue confronted when designing such accelerators is the optimization of hardware by exploiting information that is known about the varying number of bits required to represent and process operands. In this paper, we describe the handling and exploitation of integer bitwidth in PICO. A bitwidth analysis procedure is used to determine bitwidth requirements for all integer variables and operations in a C application. Given known bitwidths for all variables, complex problems arise when determining a program schedule that specifies on which function unit (FU) and at what time each operation executes. If operations are assigned to FUs with no knowledge of bitwidth, bitwidth-related cost benefit is lost when each unit is built to accommodate the widest operation assigned. By carefully placing operations of similar width on the same unit, hardware costs are decreased. This problem is addressed using a preliminary clustering of operations that is based jointly on width and implementation cost. These clusters are then honored during resource allocation and operation scheduling to create an efficient width-conscious design. Experimental results show that exploiting integer bitwidth substantially reduces the gate count of PICO-synthesized hardware accelerators across a range of applications.
Neural substrates of decision making in adults with attention deficit hyperactivity disorder.

OBJECTIVE The characteristics of attention deficit hyperactivity disorder (ADHD) include abnormalities in reward responsivity that may interfere with decision making. The study examined reward responsivity in ADHD by comparing the neural correlates of decision making in adults with childhood-onset ADHD and in healthy adults. METHOD The neural correlates of performance on a decision-making task and a control task were compared in 10 adults with ADHD and 12 age-matched healthy volunteers by using [(15)O]H(2)O positron emission tomography. The decision-making task tested the ability to weigh short-term rewards against long-term losses. The control task matched all components of the decision-making task except for the decision-making process and related contingency. RESULTS The ventral and dorsolateral prefrontal cortex and the insula were activated during performance of the decision-making task in both the ADHD and healthy groups; however, activation in the ADHD group was less extended and did not involve other regions, such as anterior cingulate and hippocampus, that subserve emotion/memory processes. Direct comparison of data from the ADHD subjects and the healthy volunteers suggested that the healthy subjects engaged the hippocampal and insular regions more than did the ADHD subjects and that the ADHD subjects recruited the caudal part of the right anterior cingulate more than did the healthy subjects. CONCLUSIONS The findings suggest that the neural circuits engaged during decision making differ in subjects with ADHD and healthy comparison subjects. This difference may explain observed deficits in motivated behaviors in ADHD. A better understanding of the nature of these deficits could ultimately be applied to refine treatment strategies for ADHD.
Quantifying the performance of jet algorithms at LHC

In the present contribution we introduce a strategy to quantify the performance of modern infrared and collinear safe jet clustering algorithms in processes which involve the reconstruction of heavy object decays. We determine optimal choices for fictional narrow $Z'\to q\bar{q}$ and $H\to gg$ over a range of masses, providing examples of simple quark-jet and gluon-jet samples respectively. We show also that our estimates are robust against the presence of high-luminosity pileup.
Qualitative investigation of the display of speech recognition results for communication with deaf people

Speech technologies provide ways of helping people with hearing loss by improving their autonomy. This study focuses on an application in French language which is developed in the collaborative project RAPSODIE in order to improve communication between a hearing person and a deaf or hard-of-hearing person. Our goal is to investigate different ways of displaying the speech recognition results which takes also into account the reliability of the recognized items. In this qualitative study, 10 persons have been interviewed to find the best way of displaying the speech transcription results. All the participants are deaf with different levels of hearing loss and various modes of communication.
Chinese Tense Labelling and Causal Analysis

This paper explores the role of tense information in Chinese causal analysis. Both tasks of causal type classification and causal directionality identification are experimented to show the significant improvement gained from tense features. To automatically extract the tense features, a Chinese tense predictor is proposed. Based on large amount of parallel data, our semi-supervised approach improves the dependency-based convolutional neural network (DCNN) models for Chinese tense labelling and thus the causal analysis.
Production of the Type IV Secretion System Differs among Brucella Species as Revealed with VirB5- and VirB8-Specific Antisera

ABSTRACT Expression of the virB operon, encoding the type IV secretion system required for Brucella suis virulence, occurred in the acidic phagocytic vacuoles of macrophages and could be induced in minimal medium at acidic pH values. To analyze the production of VirB proteins, polyclonal antisera against B. suis VirB5 and VirB8 were generated. Western blot analysis revealed that VirB5 and VirB8 were detected after 3 h in acidic minimal medium and that the amounts increased after prolonged incubation. Unlike what occurs in the related organism Agrobacterium tumefaciens, the periplasmic sugar binding protein ChvE did not contribute to VirB protein production, and B. suis from which chvE was deleted was fully virulent in a mouse model. Comparative analyses of various Brucella species revealed that in all of them VirB protein production increased under acidic conditions. However, in rich medium at neutral pH, Brucella canis and B. suis, as well as the Brucella abortus- and Brucella melitensis-derived vaccine strains S19, RB51, and Rev.1, produced no VirB proteins or only small amounts of VirB proteins, whereas the parental B. abortus and B. melitensis strains constitutively produced VirB5 and VirB8. Thus, the vaccine strains were still able to induce virB expression under acidic conditions, but the VirB protein production was markedly different from that in the wild-type strains at pH 7. Taken together, the data indicate that VirB protein production and probably expression of the virB operon are not uniformly regulated in different Brucella species. Since VirB proteins were shown to modulate Brucella phagocytosis and intracellular trafficking, the differential regulation of the production of these proteins reported here may provide a clue to explain their role(s) during the infection process.
Bayesian vocal tract model estimates of nasal stops for speaker verification

In this paper we report on speaker verification experiments using branched vocal tract model estimates of alveolar nasal (/n/) stops. While the discriminatory potential of nasal acoustics has long been established, their acoustic properties have so far mostly been characterized using spectral features. Here, we used a Bayesian estimation technique to obtain reflection coefficients of a branched-tube model of the combined nasal and oral tract. Parameters were then modeled using probabilistic linear discriminant analysis to calculate likelihood ratios for speaker verification trials. Performance was assessed on normal and high vocal effort speech using high-quality and mobile-telephone-transmitted recordings taken from the German-language Pool2010 corpus. Results are compared with those of systems based on mel-frequency cepstral coefficients (MFCC). Vocal tract parameter based systems outperform MFCC based systems in matched conditions, but lack robustness under mismatch, while being readily interpretable with respect to a physical speech production model.
The Roland-Morris Disability Questionnaire and the Oswestry Disability Questionnaire.

Condition-specific health status measures are commonly used as outcome measures in clinical trials and to assess patient progress in routine clinical practice. The expert panel that met to discuss this special issue of Spine recommended that, when possible, a condition-specific measure for back pain should be chosen from two widely used measures, the Roland–Morris Disability Questionnaire (RDQ) or the Oswestry Disability Index (ODI). These two measures have been used in a wide variety of situations over many years, and each is available in a number of languages. In this article, the authors describe these two instruments and provide evidence of their validity and reliability and some comparative results obtained with the use of the two questionnaires. The instruments themselves are included in the appendixes. When used in the forms reproduced in the appendixes, no permission is required from the authors or from Spine. Other back pain–specific health status measures are described by Kopec elsewhere in this edition of Spine.
Endogenous opioids modulate neuronal survival in the developing avian ciliary ganglion

Most studies on the trophic regulation of the normal neuronal competition for survival have focused on interactions between neurons and their target environment. However, it is also likely that trophic modulators are released from premotor inputs onto motoneurons. We have examined the developmental distribution of endogenous enkephalin-like immunoreactivity and the role that these endogenous opioid peptides play in normal neuronal degeneration. During the early portion of the normal cell death period, enkephalin-like immunoreactivity is highest within preganglionic cell bodies in the midbrain and their nerve terminals in the ciliary ganglion. Exogenous daily morphine administration to the chick embryo has previously been shown to delay most of the normal neuronal death in the ciliary ganglion (see Meriney et al., 1985). We hypothesized that opiate receptor activation increases the probability that ciliary ganglion neurons will survive their developmental competition and, further, that the endogenous opioid peptides in the ciliary ganglion normally modulate this competition. However, in our previous report (Meriney et al., 1985), we noted that daily administration of the antagonist naloxone to the chorioallantoic membrane did not significantly alter neuronal survival, as would have been expected if endogenous opioids were involved in regulating cell death. In contrast, in this report we show that three times daily application of naltrexone (a long-lasting opiate antagonist) significantly decreased neuronal survival among the ciliary ganglion cells, and that the surviving cells were not ultrastructurally different than neurons from controls of the same developmental stage. To control for toxic effects of naltrexone, we performed cell counts following naltrexone, we performed cell counts following naltrexone treatment in another population of cholinergic motoneurons (lumbar spinal motoneurons). In this population of cells, the total number of motoneurons remains unchanged following naltrexone treatment. To test for a specific toxic effect on the neurons of the ciliary ganglion, we generated a dose-response curve for toxicity in vitro and determined that naltrexone was not toxic over concentration ranges that are likely to exist in vivo. It appears, therefore, that a multiple daily antagonist application protocol blocks opiate receptors sufficiently in the ciliary ganglion to decrease an endogenous opiate influence significantly. We tested the possibility that endogenous opioids exert their effect by modifying transmission at peripheral and ganglionic synapses. In the generally accepted hypothesis, paralysis at the peripheral nerve-striated muscle synapse would rescue cells, while paralysis of ganglionic synapses would decrease survival. Iris neuromuscular junctions onto striated muscle cells were not blocked by opioids, but neuromuscular transmission in the smooth muscle of the choroid coat was blocked. (ABSTRACT TRUNCATED AT 400 WORDS)