Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance of severity of illness scoring systems in emergency department patients with infection.

OBJECTIVES To validate the Mortality in Emergency Department Sepsis (MEDS) score, the Confusion, Urea nitrogen, Respiratory rate, Blood pressure, 65 years of age and older (CURB-65) score, and a modified Rapid Emergency Medicine Score (mREMS) in patients with suspected infection. METHODS This was a prospective cohort study. Adult patients with clinically suspected infection admitted from December 10, 2003, to September 30, 2004, in an urban emergency department with approximately 50,000 annual visits were eligible. The MEDS and CURB-65 scores were calculated as originally described, but REMS was modified in neurologic scoring because a full Glasgow Coma Scale score was not uniformly available. Discrimination of each score was assessed with the area under the receiver operating characteristics curve (AUC). RESULTS Of 2,132 patients, 3.9% (95% confidence interval [CI] = 3.1% to 4.7%) died. Mortality stratified by the MEDS score was as follows: 0-4 points, 0.4% (95% CI = 0.0 to 0.7%); 5-7 points, 3.3% (95% CI = 1.7% to 4.9%); 8-12 points, 6.6% (95% CI = 4.4% to 8.8%); and > or = 13 points, 31.6% (95% CI = 22.4% to 40.8%). Mortality stratified by CURB-65 was as follows: 0 points, 0% (0 of 457 patients); 1 point, 1.6% (95% CI = 0.6% to 2.6%); 2 points, 4.1% (95% CI = 2.3% to 6.0%); 3 points, 4.9% (95% CI = 2.8% to 6.9%); 4 points, 18.1% (95% CI = 11.9% to 24.3%); and 5 points, 28.0% (95% CI = 10.4% to 45.6%). Mortality stratified by the mREMS was as follows: 0-2 points, 0.6% (95% CI = 0 to 1.2%); 3-5 points, 2.0% (95% CI = 0.8% to 3.1%); 6-8 points, 2.3% (95% CI = 1.1% to 3.5%); 9-11 points, 7.1% (95% CI = 4.2% to 10.1%); 12-14 points, 20.0% (95% CI = 12.5% to 27.5%); and > or = 15 points, 40.0% (95% CI = 22.5% to 57.5%). The AUCs were 0.85, 0.80, and 0.79 for MEDS, mREMS, and CURB-65, respectively. CONCLUSIONS In this large cohort of patients with clinically suspected infection, MEDS, mREMS, and CURB-65 all correlated well with 28-day in-hospital mortality.
Anti-Human Herpesvirus 6A/B IgG Correlates with Relapses and Progression in Multiple Sclerosis

Objective To analyze the titers of the IgG and IgM antibodies against human herpesvirus 6A/B (HHV-6A/B) in multiple sclerosis (MS) patients treated with different disease modified therapies (DMTs) along two-years of follow-up. Methods We collected 2163 serum samples from 596 MS; for 301 MS patients a 2-years follow-up was performed. Serum samples of 337 healthy controls were also analyzed. Anti-HHV-6A/B IgG and IgM were analyzed by ELISA (Panbio). Results We found that 129/187 (69.0%) MS patients with a decrease of the anti-HHV-6A/B IgG titers after 2-years with DMTs were free of relapses and progression vs. 46/113 (40.7%) of MS patients with an increase of the anti-HHV-6A/B IgG titers (p = 0.0000015); the higher significance was found for natalizumab. Furthermore, we found that anti-HHV-6A/B IgG titers reached their highest value two weeks before the relapse (p = 0.0142), while the anti-HHV-6A/B IgM titers reached their highest value one month before the relapse (p = 0.0344). Conclusion The measurement of the anti-HHV-6A/B IgG titers could be a good biomarker of clinical response to the different DMTs. The increase of the anti-HHV-6A/B IgG and IgM titers predicts the upcoming clinical relapses. However, further longitudinal studies are needed to validate these results.
Spectrum management of cognitive radio using multi-agent reinforcement learning

Wireless cognitive radio (CR) is a newly emerging paradigm that attempts to opportunistically transmit in licensed frequencies, without affecting the pre-assigned users of these bands. To enable this functionality, such a radio must predict its operational parameters, such as transmit power and spectrum. These tasks, collectively called spectrum management, is difficult to achieve in a dynamic distributed environment, in which CR users may only take local decisions, and react to the environmental changes. In this paper, we introduce a multi-agent reinforcement learning approach based spectrum management. Our approach uses value functions to evaluate the desirability of choosing different transmission parameters, and enables efficient assignment of spectrums and transmit powers by maximizing long-term reward. We then investigate various real-world scenarios, and compare the communication performance using different sets of learning parameters. We also apply Kanerva-based function approximation to improve our approach's ability to handle large cognitive radio networks and evaluate its effect on communication performance. We conclude that our reinforcement learning based spectrum management can significantly reduce the interference to the licensed users, while maintaining a high probability of successful transmissions in a cognitive radio ad hoc network.
Time‐course of nigrostriatal damage, basal ganglia metabolic changes and behavioural alterations following intrastriatal injection of 6‐hydroxydopamine in the rat: new clues from an old model

Despite the progressive development of innovative animal models for Parkinson's disease, the intracerebral infusion of neurotoxin 6‐hydroxydopamine (6‐OHDA) remains the most widely used means to induce an experimental lesion of the nigrostriatal pathway in the animal, due to its relatively low complexity and cost, coupled with the high reproducibility of the lesion obtained. To gain new information from such a classic model, we studied the time‐course of the nigrostriatal damage, metabolic changes in the basal ganglia nuclei (cytochrome oxidase activity) and behavioural modifications (rotational response to apomorphine) following unilateral injection of 6‐OHDA into the corpus striatum of rat, over a 4‐week period. Striatal infusion of 6‐OHDA caused early damage of dopaminergic terminals, followed by a slowly evolving loss of dopaminergic cell bodies in the substantia nigra pars compacta, which became apparent during the second week post‐injection and peaked at the 28th day post‐infusion; the rotational response to apomorphine was already present at the first time point considered (Day 1), and remained substantially stable throughout the 4‐week period of observation. The evolution of the nigrostriatal lesion was accompanied by complex changes in the metabolic activity of the other basal ganglia nuclei investigated (substantia nigra pars reticulata, entopeduncular nucleus, globus pallidus and subthalamic nucleus), which led, ultimately, to a generalized, metabolic hyperactivity, ipsilaterally to the lesion. However, peculiar patterns of metabolic activation, or inhibition, characterized the post‐lesional responses of each nucleus, in the early and intermediate phases, with peculiar response profiles that varied closely related to the functional position occupied within the basal ganglia circuitry.
The Eukaryotic Translation Initiation Factor 4E Controls Lettuce Susceptibility to the Potyvirus Lettuce mosaic virus1

The eIF4E and eIF(iso)4E cDNAs from several genotypes of lettuce (Lactuca sativa) that are susceptible, tolerant, or resistant to infection by Lettuce mosaic virus (LMV; genus Potyvirus) were cloned and sequenced. Although Ls-eIF(iso)4E was monomorphic in sequence, three types of Ls-eIF4E differed by point sequence variations, and a short in-frame deletion in one of them. The amino acid variations specific to Ls-eIF4E1 and Ls-eIF4E2 were predicted to be located near the cap recognition pocket in a homology-based tridimensional protein model. In 19 lettuce genotypes, including two near-isogenic pairs, there was a strict correlation between these three allelic types and the presence or absence of the recessive LMV resistance genes mo11 and mo12. Ls-eIF4E1 and mo11 cosegregated in the progeny of two separate crosses between susceptible genotypes and an mo11 genotype. Finally, transient ectopic expression of Ls-eIF4E restored systemic accumulation of a green fluorescent protein-tagged LMV in LMV-resistant mo12 plants and a recombinant LMV expressing Ls-eIF4E° from its genome, but not Ls-eIF4E1 or Ls-eIF(iso)4E, accumulated and produced symptoms in mo11 or mo12 genotypes. Therefore, sequence correlation, tight genetic linkage, and functional complementation strongly suggest that eIF4E plays a role in the LMV cycle in lettuce and that mo11 and mo12 are alleles coding for forms of eIF4E unable or less effective to fulfill this role. More generally, the isoforms of eIF4E appear to be host factors involved in the cycle of potyviruses in plants, probably through a general mechanism yet to be clarified.
Exact quantum query complexity of EXACT and THRESHOLD

A quantum algorithm is exact if it always produces the correct answer, on any input. Coming up with exact quantum algorithms that substantially outperform the best classical algorithm has been a quite challenging task. In this paper, we present two new exact quantum algorithms for natural problems: 1) for the problem EXACT_k^n in which we have to determine whether the sequence of input bits x_1, . , x_n contains exactly k values x_i=1; 2) for the problem THRESHOLD_k^n in which we have to determine if at least k of n input bits are equal to 1.
All-Plastic Electrochemical Transistor for Glucose Sensing Using a Ferrocene Mediator

We demonstrate a glucose sensor based on an organic electrochemical transistor (OECT) in which the channel, source, drain, and gate electrodes are made from the conducting polymer poly(3,4-ethylenedioxythiophene) doped with poly(styrene sulfonate) (PEDOT:PSS). The OECT employs a ferrocene mediator to shuttle electrons between the enzyme glucose oxidase and a PEDOT:PSS gate electrode. The device can be fabricated using a one-layer patterning process and offers glucose detection down to the micromolar range, consistent with levels present in human saliva.
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability

This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of reliability data and inconsistencies between the reliability model and the system modeled, the evidence theory is more suitable to manage this epistemic uncertainty. We propose to adapt the Bayesian Network model of reliability in order to integrate the evidence theory and then to produce an Evidential Network. Three examples are proposed to observe the propagation mechanism of the uncertainty through the network and its influence on the system reliability.
Motivating Salespeople to Sell New Products: The Relative Influence of Attitudes, Subjective Norms, and Self-Efficacy

This research explores the relative influence of salespeople's attitudes toward selling a new product, perceptions of subjective norms, and self-efficacy on the development of selling intentions and, ultimately, the success of a new product launch. The longitudinal study employs a nonlinear growth curve model that leverages survey data from industrial salespeople and objective performance records of their daily sales during the first several months in the market of two new products: a new-to-market product and a line extension. By examining salesperson-level variance on new product performance, the authors suggest that managers should focus on increasing salesperson self-efficacy and positive attitudes toward selling the product to build selling intentions and quickly grow new product performance. They also suggest that sales managers should resist the temptation to rely on normative pressure during a new product introduction. Not only are subjective norms less effective in building selling intentions, but they also diminish the positive impact of attitudes and self-efficacy on salesperson intentions and constrain the positive relationships between intentions and performance and self-efficacy and performance.
First-year medical students can demonstrate EHR-specific communication skills: a control-group study.

BACKGROUND AND OBJECTIVES Graduating medical students will universally use electronic health records (EHRs), yet a June 2007 literature search revealed no descriptions of EHR-specific communication skills curricula in US medical schools. We designed and tested methods to teach first-year medical students to optimally integrate EHRs into physician-patient communication in ambulatory encounters. METHODS We randomly assigned 17 volunteer students to control (n=8) and intervention (n=9) groups. Both groups learned the mechanics of documenting patient histories using the EHR. Additionally, we taught the intervention group EHR-specific communications skills using guided discovery, brief didactics, and practice role plays. We compared both groups' general and EHR-specific communications skills using a standardized patient (SP) case. RESULTS Students receiving EHR communication skills training performed significantly better than controls in six of 10 EHR communication skills. In 10 of 11 general communication skills, there were no significant differences between groups. CONCLUSIONS First-year medical students can demonstrate EHR communication skills early in their medical training. However, in our setting, students did not spontaneously demonstrate EHR skills without instruction, and such skills did not correlate with general communication skills.
K562-Derived Whole-Cell Vaccine Enhances Antitumor Responses of CAR-Redirected Virus-Specific Cytotoxic T Lymphocytes In Vivo

Purpose: Adoptive transfer of Epstein–Barr virus (EBV)–specific and cytomegalovirus (CMV)-specific cytotoxic T cells (CTL) genetically modified to express a chimeric antigen receptor (CAR) induces objective tumor responses in clinical trials. In vivo expansion and persistence of these cells are crucial to achieve sustained clinical responses. We aimed to develop an off-the-shelf whole-cell vaccine to boost CAR-redirected virus-specific CTLs in vivo after adoptive transfer. As proof of principle, we validated our vaccine approach by boosting CMV-specific CTLs (CMV-CTLs) engineered with a CAR that targets the GD2 antigen. Experimental Design: We generated the whole-cell vaccine by engineering the K562 cell line to express the CMV-pp65 protein and the immune stimulatory molecules CD40L and OX40L. Single-cell–derived clones were used to stimulate CMV-CTLs in vitro and in vivo in a xenograft model. We also assessed whether the in vivo boosting of CAR-redirected CMV-CTLs with the whole-cell vaccine enhances the antitumor responses. Finally, we addressed potential safety concerns by including the inducible safety switch caspase9 (iC9) gene in the whole-cell vaccine. Results: We found that K562-expressing CMV-pp65, CD40L, and OX40L effectively stimulate CMV-specific responses in vitro by promoting antigen cross-presentation to professional antigen-presenting cells (APCs). Vaccination also enhances antitumor effects of CAR-redirected CMV-CTLs in xenograft tumor models. Activation of the iC9 gene successfully induces growth arrest of engineered K562 implanted in mice. Conclusions: Vaccination with a whole-cell vaccine obtained from K562 engineered to express CMV-pp65, CD40L, OX40L and iC9 can safely enhance the antitumor effects of CAR-redirected CMV-CTLs. Clin Cancer Res; 21(13); 2952–62. ©2015 AACR.
The Effects of Structured Physical Activity Program on Social Interaction and Communication for Children with Autism

The purpose of this study was to investigate the effects of structured physical activity program on social interaction and communication of children with autism spectrum disorder (ASD). Fifty children with ASD from a special school were randomly divided into experimental and control groups. 25 children with ASD were placed in the experimental group, and the other 25 children as the control group participated in regular physical activity. A total of forty-one participants completed the study. A 12-week structured physical activity program was implemented with a total of 24 exercise sessions targeting social interaction and communication of children with ASD, and a quasi-experimental design was used for this study. Data were collected using quantitative and qualitative instruments. SSIS and ABLLS-R results showed that an overall improvement in social skills and social interaction for the experimental group across interim and posttests, F = 8.425, p = 0.001 (p < 0.005), and significant improvements appeared in communication, cooperation, social interaction, and self-control subdomains (p < 0.005). Conversely, no statistically significant differences were found in the control group (p > 0.005). The study concluded that the special structured physical activity program positively influenced social interaction and communication skills of children with ASD, especially in social skills, communication, prompt response, and frequency of expression.
Neuroimaging evidence is conflicting regarding whether human prefrontal cortex (PFC) shows functional organization by type of processes engaged or type of information processed. Most studies use complex working or long-term memory tasks requiring multiple processes and the combinations of processes 

prefrontal cortex (PFC) shows functional organization by type of processes engaged or type of information processed. Most studies use complex working or long-term memory tasks requiring multiple processes and the combinations of processes recruited for different materials may vary. Using functional magnetic resonance imaging (fMRI) and simple tasks suggested by a component process approach, we found activity in left PFC when participants thought about (refreshed) a just-seen item and in right PFC when participants noted whether an item had been presented previously. Furthermore, the distribution of activation in left or right PFC varied with type of information. Thus, at the component process level, PFC shows functional organization by both process and type of information.
Endoplasmic Microtubules Configure the Subapical Cytoplasm and Are Required for Fast Growth of Medicago truncatulaRoot Hairs1

To investigate the configuration and function of microtubules (MTs) in tip-growing Medicago truncatularoot hairs, we used immunocytochemistry or in vivo decoration by a GFP linked to a MT-binding domain. The two approaches gave similar results and allowed the study of MTs during hair development. Cortical MTs (CMTs) are present in all developmental stages. During the transition from bulge to a tip-growing root hair, endoplasmic MTs (EMTs) appear at the tip of the young hair and remain there until growth arrest. EMTs are a specific feature of tip-growing hairs, forming a three-dimensional array throughout the subapical cytoplasmic dense region. During growth arrest, EMTs, together with the subapical cytoplasmic dense region, progressively disappear, whereas CMTs extend further toward the tip. In full-grown root hairs, CMTs, the only remaining population of MTs, converge at the tip and their density decreases over time. Upon treatment of growing hairs with 1 μm oryzalin, EMTs disappear, but CMTs remain present. The subapical cytoplasmic dense region becomes very short, the distance nucleus tip increases, growth slows down, and the nucleus still follows the advancing tip, though at a much larger distance. Taxol has no effect on the cytoarchitecture of growing hairs; the subapical cytoplasmic dense region remains intact, the nucleus keeps its distance from the tip, but growth rate drops to the same extent as in hairs treated with 1 μm oryzalin. The role of EMTs in growing root hairs is discussed.
Application of feature propagation to dependency parsing

This paper presents a set of experiments performed on parsing the Basque Dependency Treebank. We have applied feature propagation to dependency parsing, experimenting the propagation of several morphosyntactic feature values. In the experiments we have used the output of a parser to enrich the input of a second parser. Both parsers have been generated by Maltparser, a freely data-driven dependency parser generator. The transformations, combined with the pseudoprojective graph transformation, obtain a LAS of 77.12% improving the best reported results for Basque.
Ensemble Tracking

We consider tracking as a binary classification problem, where an ensemble of weak classifiers is trained online to distinguish between the object and the background. The ensemble of weak classifiers is combined into a strong classifier using AdaBoost. The strong classifier is then used to label pixels in the next frame as either belonging to the object or the background, giving a confidence map. The peak of the map and, hence, the new position of the object, is found using mean shift. Temporal coherence is maintained by updating the ensemble with new weak classifiers that are trained online during tracking. We show a realization of this method and demonstrate it on several video sequences
Electrocardiographic Features in Andersen-Tawil Syndrome Patients With KCNJ2 Mutations: Characteristic T-U–Wave Patterns Predict the KCNJ2 Genotype

Background—The ECG features of Andersen-Tawil syndrome (ATS) patients with KCNJ2 mutations (ATS1) have not been systematically assessed. This study aimed to define ECG features of KCNJ2 mutation carriers, to determine whether characteristic T-U–wave patterns exist, and to establish whether T-U patterns predict the ATS1 genotype. Methods and Results—In phase I, evaluation of T-U morphology in ECGs of 39 KCNJ2 mutation carriers identified characteristic T-U patterns: prolonged terminal T downslope, wide T-U junction, and biphasic and enlarged U waves. In phase II, ATS1 genotype prediction by T-U pattern was evaluated in the next 147 ECGs (57 other KCNJ2 mutation carriers, 61 unaffected family members, and 29 ATS patients without KCNJ2 mutations), with a sensitivity of 84% and specificity of 97%. Characteristic T-U patterns were present in 91% (87/96), in whom an enlarged U wave was predominant (73%). In phase III, QTc, QUc, and T- and U-wave duration/amplitude were compared in the 96 ATS1, 29 non-KCNJ2 ATS, and 75 normal subjects. In ATS1 patients, QUc, U-wave duration and amplitude, and QTc were all increased (P<0.001), but median QTc and interquartile range (IQR) were just 440 ms (IQR, 28 ms) compared with 420 ms (IQR, 20 ms) in normal subjects and 425 ms (IQR, 48 ms) in ATS non-KCNJ2 patients. Conclusions—In ATS1 patients, gene-specific T-U–wave patterns resulting from decreased IK1 owing to KCNJ2 mutations can aid diagnosis and direct genotyping. The normal QTc, distinct ECG, and other clinical features distinguish ATS1 from long-QT syndrome, and it is best designated as ATS1 rather than LQT7.
A terminal energy acceptor of the phycobilisome: the 75,000-dalton polypeptide of Synechococcus 6301 phycobilisomes--a new biliprotein

A rapid procedure is described for the isolation of "linker" polypeptides (Lundell, D. J., R. C. Williams, and A. N. Glazer. 1981. J. Biol. Chem. 256:3580-3592) of cyanobacterial phycobilisomes. The 75,000-dalton component of the core of Synechococcus 6301 phycobilisomes isolated by this procedure has been shown to carry a bilin similar in spectroscopic properties to phycocyanobilin. "Renatured" 75,000-dalton polypeptide has absorption maxima at 610 and 665 nm and a fluorescence emission maximum at 676 nm, similar to that of intact phycobilisomes. A complex of allophycocyanin and a 40,000- dalton bilin-carrying fragment of the 75,000-dalton polypeptide, obtained by limited tryptic digestion, is described. This complex, which lacks allophycocyanin B, shows a fluorescence emission maximum at 676 nm. The above data indicate that the 75,000-dalton polypeptide functions as a terminal energy acceptor in the phycobilisome.