Miracle-dz/UniFAR-FTUs huggingface dataset:
What can structured professional judgement tools contribute to management of neurobehavioural disability? Predictive validity of the Short-Term Assessment of Risk and Treatability (START) in acquired brain injury

ABSTRACT Aggression is a frequently cited outcome of acquired brain injury (ABI). Paradoxically, evidence suggests that ABI clinicians underestimate the risk of violence, and aggression in neurobehavioural services appears more frequent than in forensic/secure psychiatric settings. Risk assessment tools are endemic in the latter and highly beneficial in managing harm. However, none has been validated for ABI. This study examines the predictive validity of ABI violence using one established tool, the Short-Term Assessment of Risk and Treatability (START). It is argued that successful management of aggression in neurobehavioural rehabilitation is partly attributable to ongoing programme calibration following regular review of measures conceptualised for ABI. The predictive ability of START and ABI measures was determined through correlational, receiver operating characteristic and hierarchical multiple regression analyses, using 4559 aggression recordings concerning 76 patients over 4 weeks. The START risk of violence was classed “low” for 50% of the sample and “high” for 13.7%. Significant relationships between individual measures and aggression were evident. However, multivariate analysis confirmed that the best fitting model comprised ABI measures of neurobehavioural disability and functional abilities: START data did not increase explained variance. ABI risk prediction may benefit from development of specific tools. However, these should be conceptualised for ABI to incorporate the diverse range of variables underpinning neurobehavioural disability.
Radioiodine pharmacokinetics in Grave’s Disease and Nodular Toxic Goiter. Simplified calculation of therapeutic activity

Existing European standard recommendations for dosimetry examination in case of thyrotoxicosis offers difficult to repeat examination protocols. The individual pharmacokinetics data of 343 patients diagnosed with Graves and Plummer disease and 133 cases with known thyroid volume are presented in the article. The data underwent parametrical statistical analysis. As a result, two clinically reproducible methods of calculating therapeutic activity have been proposed.
Ataxia telangiectasia mutated (Atm) is not required for telomerase-mediated elongation of short telomeres

Telomerase-mediated telomere addition counteracts telomere shortening due to incomplete DNA replication. Short telomeres are the preferred substrate for telomere addition by telomerase; however, the mechanism by which telomerase recognizes short telomeres is unclear. In yeast, the Ataxia telangiectasia mutated (Atm) homolog, Tel1, is necessary for normal telomere length regulation likely by altering telomere structure, allowing telomerase recruitment to short telomeres. To examine the role of Atm in establishing preference for elongation of short telomeres in mice, we examined telomerase-mediated elongation of short dysfunctional telomeres in the presence or absence of Atm. Here we show that Atm is dispensable for elongation of short telomeres by telomerase, suggesting that telomerase recruitment in mammalian cells and in yeast may be regulated differently.
Extracting Code Segments and Their Descriptions from Research Articles

The availability of large corpora of online software-related documents today presents an opportunity to use machine learning to improve integrated development environments by first automatically collecting code examples along with associated descriptions. Digital libraries of computer science research and education conference and journal articles can be a rich source for code examples that are used to motivate or explain particular concepts or issues. Because they are used as examples in an article, these code examples are accompanied by descriptions of their functionality, properties, or other associated information expressed in natural language text. Identifying code segments in these documents is relatively straightforward, thus this paper tackles the problem of extracting the natural language text that is associated with each code segment in an article. We present and evaluate a set of heuristics that address the challenges of the text often not being colocated with the code segment as in developer communications such as online forums.
HLA-F and MHC-I Open Conformers Cooperate in a MHC-I Antigen Cross-Presentation Pathway

Peptides that are presented by MHC class I (MHC-I) are processed from two potential sources, as follows: newly synthesized endogenous proteins for direct presentation on the surface of most nucleated cells and exogenous proteins for cross-presentation typically by professional APCs. In this study, we present data that implicate the nonclassical HLA-F and open conformers of MHC-I expressed on activated cells in a pathway for the presentation of exogenous proteins by MHC-I. This pathway is distinguished from the conventional endogenous pathway by its independence from TAP and tapasin and its sensitivity to inhibitors of lysosomal enzymes, and further distinguished by its dependence on MHC-I allotype-specific epitope recognition for Ag uptake. Thus, our data from in vitro experiments collectively support a previously unrecognized model of Ag cross-presentation mediated by HLA-F and MHC-I open conformers on activated lymphocytes and monocytes, which may significantly contribute to the regulation of immune system functions and the immune defense.
Medical needle steering for lung biopsy: Experimental results in tissue phantoms using a robotic needle driver

Needle steering is a commonly used technique in the medical field as it enables physicians to more precisely reach the target tissue. In this paper we describe our interest in needle steering for lung biopsy and the significance of this technique. There has been much interest in modeling needle steering in recent years and this paper builds upon that work. We describe our Matlab implementation and present simulation results. We also show our experimental results based on a robotic needle driver and X-Ray imaging in the interventional suite. The experimental results showed good agreement with the simulation results.
GPU-Based Acceleration of Regression Test Suite Reduction

If software developers adopt test automation, the costs of development and maintenance will significantly decrease and the quality of regression testing will also increase. However, the number of test cases generally grows as the software under test evolves. It will take too much time to run all of the test cases during regression testing even though test automation is adopted. This may delay the time to release software products. Thus, a test team should choose a representative set of test cases from the original test suite so that the regression testing can be accomplished in a tight build schedule and the quality of regression testing is still satisfactory. This process is called test suite reduction. The problem of test suite reduction has received considerable attention in recent decades. Many test suite reduction methods have been proposed in the literature. Yet, reducing the test suite is a time-consuming process. Performing test suite reduction is also an extra cost of regression testing. It is fortunate that General-purpose Computing on Graphics Processing Units (GPUs) are suitable to accelerate the processing of a large quantity of digital data. Thus, this paper aims to accelerate test suite reduction method using GPUs. Our empirical studies include some frequently chosen benchmarks for experimentally evaluating the effectiveness of our approach and the empirical results indicate that the presented approach works well for a test suite of high complexity.
Transport and noise properties of YBCO nanowire based nanoSQUIDs

The development of quantum limited magnetic flux sensors has recently gained a lot of attention for the possibility of detecting the magnetic moment of nanoscaled systems. Here, the ultimate goal is the observation of a single spin. Such sensors are of fundamental importance for applications, ranging from spintronics and spin-based quantum information processing, to fundamental studies of nano-magnetism in molecules and magnetic nanoclusters. A nano-scale superconducting quantum interference device (nanoSQUID) is indeed a promising candidate to reach this ambitious goal. Nanowires, fabricated of high critical temperature superconductors (HTS), have been shown to be a valid candidate for the realization of nanoSQUIDs. A crucial requirement to achieve the necessary flux sensitivity and spatial resolution, is a SQUID loop on the nanometer scale. Moreover, HTS nanowire-based SQUIDs in combination with large area pickup loops or flux transformers might become instrumental in magnetometer applications, such as magneto encephalography and low field magnetic resonance imaging, where low intrinsic magnetic field noise is required. In this review we will give a survey on the state of the art of YBa2Cu3O7−δ thin film nanowires and their implementation in low noise nanoSQUIDs and magnetometers.
Process for preparation of copolymer of ethylene

A process for the preparation of an elastomeric polymer of ethylene which comprises polymerizing, in suspension, a mixture of monomers comprising ethylene, at least one a-olefin having from 3 to 12 carbon atoms, possibly at least one non-conjugated diene having from 4 to 20 carbon atoms, in the presence of a catalytic system comprising: - a suspension in oil of at least one catalyst selected from compounds containing vanadium; - at least one co-catalyst, as such, selected from compounds containing aluminium; at least one activator, as such, selected from compounds containing chlorine.
A dynamic stochastic model for automatic grammar‐based test generation

Grammar‐based test generation provides a systematic approach to producing test cases from a given context‐free grammar. Unfortunately, naive grammar‐based test generation is problematic because of the fact that exhaustive random test case production is often explosive, and grammar‐based test generation with explicit annotation controls often causes unbalanced testing coverage. In this paper, we present an automatic grammar‐based test generation approach, which takes a symbolic grammar as input, requires zero control input from users, and produces well‐distributed test cases. Our approach utilizes a novel dynamic stochastic model where each variable is associated with a tuple of probability distributions, which are dynamically adjusted along the derivation. We further present a coverage tree illustrating the distribution of generated test cases and their detailed derivations. More importantly, the coverage tree supports various implicit derivation control mechanisms. We implemented this approach in a Java‐based system, named Gena. Each test case generated by Gena automatically comes with a set of structural features, which can play an important and effective role on automated failure causes localization. Experimental results demonstrate the effectiveness of our approach, the well‐balanced distribution of generated test cases over grammatical structures, and a case study on grammar‐based failure causes localization. Copyright © 2014 John Wiley & Sons, Ltd.
Approximations and Optimal Control for State-dependent Limited Processor Sharing Queues

The paper studies approximations and control of a processor sharing (PS) server where the service rate depends on the number of jobs occupying the server. The control of such a system is implemented by imposing a limit on the number of jobs that can share the server concurrently, with the rest of the jobs waiting in a first-in-first-out (FIFO) buffer. A desirable control scheme should strike the right balance between efficiency (operating at a high service rate) and parallelism (preventing small jobs from getting stuck behind large ones). We use the framework of heavy-traffic diffusion analysis to devise near optimal control heuristics for such a queueing system. However, although the literature on diffusion control of state-dependent queueing systems begins with a sequence of systems and an exogenously defined drift function, we begin with a finite discrete PS server and propose an axiomatic recipe to explicitly construct a sequence of state-dependent PS servers that then yields a drift function. We establish diffusion approximations and use them to obtain insightful and closed-form approximations for the original system under a static concurrency limit control policy. We extend our study to control policies that dynamically adjust the concurrency limit. We provide two novel numerical algorithms to solve the associated diffusion control problem. Our algorithms can be viewed as “average cost” iteration: The first algorithm uses binary-search on the average cost, while the second faster algorithm uses Newton-Raphson method for root finding. Numerical experiments demonstrate the accuracy of our approximation for choosing optimal or near-optimal static and dynamic concurrency control heuristics.
Structural basis for recognition of cognate tRNA by tyrosyl-tRNA synthetase from three kingdoms

The specific aminoacylation of tRNA by tyrosyl-tRNA synthetases (TyrRSs) relies on the identity determinants in the cognate tRNATyrs. We have determined the crystal structure of Saccharomyces cerevisiae TyrRS (SceTyrRS) complexed with a Tyr-AMP analog and the native tRNATyr(GΨA). Structural information for TyrRS–tRNATyr complexes is now full-line for three kingdoms. Because the archaeal/eukaryotic TyrRSs–tRNATyrs pairs do not cross-react with their bacterial counterparts, the recognition modes of the identity determinants by the archaeal/eukaryotic TyrRSs were expected to be similar to each other but different from that by the bacterial TyrRSs. Interestingly, however, the tRNATyr recognition modes of SceTyrRS have both similarities and differences compared with those in the archaeal TyrRS: the recognition of the C1-G72 base pair by SceTyrRS is similar to that by the archaeal TyrRS, whereas the recognition of the A73 by SceTyrRS is different from that by the archaeal TyrRS but similar to that by the bacterial TyrRS. Thus, the lack of cross-reactivity between archaeal/eukaryotic and bacterial TyrRS-tRNATyr pairs most probably lies in the different sequence of the last base pair of the acceptor stem (C1-G72 vs G1-C72) of tRNATyr. On the other hand, the recognition mode of Tyr-AMP is conserved among the TyrRSs from the three kingdoms.
Genetic influences on ‘environmental’ factors

Childhood environment, social environment and behavior, leisure time activities and life events have been hypothesized to contribute to individual differences in cognitive abilities and physical and emotional well‐being. These factors are often labeled ‘environmental’, suggesting they shape but not reflect individual differences in behavior. The aim of this study is to test the hypothesis that these factors are not randomly distributed across the population but reflect heritable individual differences. Self‐report data on Childhood Environment, Social Environment and Behavior, Leisure Time Activities and Life Events were obtained from 560 adult twins and siblings (mean age 47.11 years). Results clearly show considerable genetic influences on these factors with mean broad heritability of 0.49 (0.00–0.87). This suggests that what we think of as measures of ‘environment’ are better described as external factors that might be partly under genetic control. Understanding causes of individual differences in external factors may aid in clarifying the intricate nature between genetic and environmental influences on complex traits.
Two new species of digeneans (Lecithasteridae and Haploporidae) of the intertidal blenny Scartichthys viridis (Valenciennes) from the central coast of Chile

Two new digenean species are described from the intertidal blenny Scartichthys viridis (Valenciennes) (Blenniidae) collected off the coasts of Chile. The digenean Monorchimacradena viridis n. sp. (Lecithasteridae: Macradenininae) differs from the only known species described in the genus, M. acanthuri Nahhas and Cable 1964, in the presence of Drüsenmagen in the caeca, the location of the seminal vesicle between the testis and ovary (anterior to the testis in M. viridis n. sp.), and the pre-ovarian vitellarium. Megasolena littoralis n. sp. (Haploporidae), which is also reported from Scartichthys gigas (Steindachner), differs from the five valid species of Megasolena in that the post-caecal region (from the posterior edge of the caeca to the end of the body) is larger in M. viridis n. sp. , meaning that the caeca are shortest in this species. Also, M. littoralis n. sp. is distinguished, from the other congeneric species, in a combination of characteristics, e.g., body length, suckers, pharynx, testes, hermaphroditic sac and sucker-length ratio. Sequences of ITS2 rDNA were generated for specimens of both species from various localities, indicating that it was invariant within the species. This study describes species of Monorchimacradena and Megasolena in Chilean waters, here reported for the first time off the Pacific Coast of South America.
Regularized super-resolution image reconstruction employing robust error norms

A high-resolution image is reconstructed from a sequence of subpixel shifted, aliased low-resolution frames, by means of stochastic regularized super-resolution SR image reconstruction. The Tukey T, Lorentzian L, and Huber H cost functions are employed for the data- fidelity term. The performance of the particular error norms, in SR image reconstruction, is presented. Actually, their employment in SR recon- struction is preceded by dilating and scaling their influence functions to make them as similar as possible. Thus, the direct comparison of these norms in rejecting outliers takes place. The bilateral total variation BTV regularization is incorporated as a priori knowledge about the solution. The outliers effect is significantly reduced, and the high-frequency edge structures of the reconstructed image are preserved. The proposed TTV, LTV, and HTV methods are directly compared with a former SR method that employs the L1-norm in the data-fidelity term for synthesized and real sequences of frames. In the simulated experiments, noiseless frames as well as frames corrupted by salt-and-pepper noise are em- ployed. Experimental results verify the robust statistics theory. Thus, the Tukey method performs best, while the L1-norm technique performs in- feriorly to the proposed techniques. © 2009 Society of Photo-Optical Instrumenta-
A Complete Harmonic Elimination Approach to DC Link Voltage Balancing for a Cascaded Multilevel Rectifier

This paper presents a complete method that is used to balance dc link voltages in a cascaded H-Bridge (CHB) multilevel rectifier. Recently, such converters have been the subject of extensive research due to their suitability for high-power applications. One requirement in using a multilevel active rectifier at high levels of power is to limit the switching losses by reducing the switching frequency to a minimum. Another requirement for these converters is to ensure that individual dc link capacitor voltages for each cell of the converter are always balanced to ensure controllability and to limit stress on the converter cells. This paper presents a complete method in solving both of these problems using a selective-harmonic-elimination pulsewidth-modulation scheme. The scheme utilizes a simple controller to track each cell dc link capacitor voltage magnitude and accordingly biases the power flowing into each cell to ensure that the voltages across each cell capacitor converge. This is the case even when the loads attached to the individual cells are not balanced. The theory is supported by both simulated results from Saber and by experimental results from a seven-level CHB single-phase multilevel rectifier.
Serological differences among isolates of viral haemorrhagic septicaemia virus detected by neutralizing monoclonal and polyclonal antibodies.

The serological variation among 127 isolates of viral haemorrhagic septicaemia virus (VHSV) was examined by plaque neutralization tests (PNT) using a panel of 4 neutralizing monoclonal antibodies (MAbs) and 1 neutralizing rabbit antiserum (PAb). Three distinct neutralization patterns were observed. All isolates in the largest group (I) were neutralized at high titres by the MAbs and the PAb. This group included isolates representing the previously described 'Serotypes' 1 and 2. The isolates in Group I1 were efficiently neutralized by 1 of the MAbs and the PAb but not, unless at low titres, by the remaining 3 MAbs. Isolates represented by previously described 'serotype' 3 were in this group. The isolates in Group 111 were not neutralized at all by any of the MAbs and not, or only moderately. neutralized by the PAb. Isolates with this reaction pattern have become the most frequent ones from VHS outbreaks in Denmark in recent years. Pronounced crossreaction between Groups I, I1 & 111 in Western blotting using polyclonal rabbit antibodies combined with the ability of 1 antiserum to neutralize 120 out of the 127 isolates indicate that the polyclonal antibodies used define only 1 serotype of VHSV. Groups I to 111 should be regarded as subtypes. The present panel of antibodies did not allow a distinction between pathogenic and nonpathogenic isolates. No relationship was observed between host species and the reaction pattern as all 3 reaction patterns were present among the 5 isolates originating from fish species other than rainbow trout Oncorhynchus mykiss.
Multi-view Clustering via Structured Low-rank Representation

In this paper, we present a novel solution to multi-view clustering through a structured low-rank representation. When assuming similar samples can be linearly reconstructed by each other, the resulting representational matrix reflects the cluster structure and should ideally be block diagonal. We first impose low-rank constraint on the representational matrix to encourage better grouping effect. Then representational matrices under different views are allowed to communicate with each other and share their mutual cluster structure information. We develop an effective algorithm inspired by iterative re-weighted least squares for solving our formulation. During the optimization process, the intermediate representational matrix from one view serves as a cluster structure constraint for that from another view. Such mutual structural constraint fine-tunes the cluster structures from both views and makes them more and more agreeable. Extensive empirical study manifests the superiority and efficacy of the proposed method.
RNA-Seq Analysis of Plant Maturity in Crested Wheatgrass (Agropyron cristatum L.)

Crested wheatgrass (Agropyron cristatum L.) breeding programs aim to develop later maturing cultivars for extending early spring grazing in Western Canada. Plant maturity is a complex genetic trait, and little is known about genes associated with late maturity in this species. An attempt was made using RNA-Seq to profile the transcriptome of crested wheatgrass maturity and to analyze differentially expressed genes (DEGs) between early and late maturing lines. Three cDNA libraries for each line were generated by sampling leaves at the stem elongation stage, spikes at the boot and anthesis stages. A total of 75,218,230 and 74,015,092 clean sequence reads were obtained for early and late maturing lines, respectively. De novo assembly of all sequence reads generated 401,587 transcripts with a mean length of 546 bp and N50 length of 691 bp. Out of 13,133 DEGs detected, 22, 17, and eight flowering related DEGs were identified for the three stages, respectively. Twelve DEGs, including nine flowering related DEGs at the stem elongation stage were further confirmed by qRT-PCR. The analysis of homologous genes of the photoperiod pathway revealed their lower expression in the late maturing line at the stem elongation stage, suggesting that their differential expression contributed to late maturity in crested wheatgrass.