LLukas22/scidocs huggingface dataset:
In vivo pharmacological characterization of indiplon, a novel pyrazolopyrimidine sedative-hypnotic.

Indiplon (NBI 34060; N-methyl-N-[3-[3-(2-thienylcarbonyl)-pyrazolo[1,5-alpha]pyrimidin-7-yl]phenyl]acetamide), a novel pyrazolopyrimidine and high-affinity allosteric potentiator of GABA(A) receptor function, was profiled for its effects in rodents after oral administration. In mice, indiplon inhibited locomotor activity (ED(50) = 2.7 mg/kg p.o.) at doses lower than the nonbenzodiazepine hypnotics zolpidem (ED(50) = 6.1 mg/kg p.o.) and zaleplon (ED(50) = 24.6 mg/kg p.o.), a sedative effect that was reversed by the benzodiazepine site antagonist flumazenil. Indiplon inhibited retention in the mouse passive avoidance paradigm over a dose range and with a temporal profile that coincided with its sedative activity. Indiplon, zolpidem, and zaleplon were equally effective in inhibiting locomotor activity in the rat and produced dose-related deficits on the rotarod. In a rat vigilance paradigm, indiplon, zolpidem, and zaleplon produced performance deficits over a dose range consistent with their sedative effects, although indiplon alone showed no significant increase in response latency. Indiplon produced a small deficit in the delayed nonmatch to sample paradigm at a dose where sedative effects became apparent. Indiplon was active in the rat Vogel test of anxiety, but it showed only a sedative profile in the mouse open field test. The pharmacokinetic profile of indiplon in both rat and mouse was consistent with its pharmacodynamic properties and indicated a rapid T(max), short t(1/2), and excellent blood-brain barrier penetration. Therefore, indiplon has the in vivo profile of an efficacious sedative-hypnotic, in agreement with its in vitro receptor pharmacology as a high-affinity allosteric potentiator of GABA(A) receptor function, with selectivity for alpha1 subunit-containing GABA(A) receptors.
Comparison of magnetic resonance and balloon enteroscopic examination of the small intestine in patients with Crohn's disease.

BACKGROUND & AIMS
Magnetic resonance (MR) enterography is a recommended imaging technique for detecting intestinal involvement in Crohn's disease (CD). However, the diagnostic accuracy of MR enterography has not been compared directly what that of enteroscopy of the jejunum and proximal ileum. We evaluated the usefulness of MR enterocolonography (MREC) by comparing its findings with those from balloon-assisted enteroscopy.


METHODS
In a prospective study, MREC and enteroscopy were performed within 3 days of each other on 100 patients. Ulcerative lesions and all mucosal lesions were evaluated. Physicians and radiologists were blinded to results from other studies. Findings from MREC were compared directly with those from enteroscopy; the sensitivity and specificity with which MREC detected CD lesions were assessed.


RESULTS
MREC detected ulcerative lesions and all mucosal lesions in the small intestine with 82.4% sensitivity (95% confidence interval [CI], 75.4%-87.7%) and 67.5% sensitivity (95% CI, 63.1%-70.0%); specificity values were 87.6% (95% CI, 83.7%-90.6%) and 94.8% (95% CI, 90.1%-97.5%). MREC detected major stenosis with 58.8% sensitivity (95% CI, 37.6%-77.2%) and 90.0% specificity (95% CI, 88.4%-91.5%) and all stenoses with 40.8% sensitivity (95% CI, 30.8%-49.4%) and 93.7% specificity (95% CI, 91.1%-95.9%).


CONCLUSIONS
MREC is useful for detecting active lesions in the small intestine. However, MR imaging is less sensitive for detecting intestinal damage, such as stenoses. Enteroscopy is preferred for identifying intestinal damage. Suitable imaging approaches should be selected to assess CD lesions in deep small intestine.
Thermal Emission Imaging System ( THEMIS ) infrared observations of atmospheric dust and water ice cloud optical depth

[1] The Mars Odyssey spacecraft entered into Martian orbit in October 2001 and after successful aerobraking, began mapping in February 2002. Thermal infrared images taken by the Thermal Emission Imaging System (THEMIS) on board the Odyssey spacecraft allow for the quantitative retrieval of atmospheric dust and water ice aerosol optical depth. Data collected so far cover late northern winter, spring, and summer (Ls = 330 –160 ). During this period, THEMIS observed the decay of a regional dust storm, a number of local dust storms along the edge of the retreating north polar cap, and the growth of the low-latitude aphelion water ice cloud belt. Data from THEMIS complements the concurrent Mars Global Surveyor Thermal Emission Spectrometer (TES) data by sampling a later local time ( 1400 LT for TES versus 1600–1730 LT for THEMIS) and by observing at much higher spatial resolution. Comparison of water ice optical depth in the aphelion cloud belt from THEMIS and TES shows a significantly higher optical depth in the late afternoon (THEMIS) than in the early afternoon (TES).
Association of prehospitalization aspirin therapy and acute lung injury: results of a multicenter international observational study of at-risk patients.

OBJECTIVE
To evaluate the association between prehospitalization aspirin therapy and incident acute lung injury in a heterogeneous cohort of at-risk medical patients.


DESIGN
This is a secondary analysis of a prospective multicenter international cohort investigation.


SETTING
Multicenter observational study including 20 US hospitals and two hospitals in Turkey.


PATIENTS
Consecutive, adult, nonsurgical patients admitted to the hospital with at least one major risk factor for acute lung injury.


INTERVENTIONS
None.


MEASUREMENTS AND MAIN RESULTS
Baseline characteristics and acute lung injury risk factors/modifiers were identified. The presence of aspirin therapy and the propensity to receive this therapy were determined. The primary outcome was acute lung injury during hospitalization. Secondary outcomes included intensive care unit and hospital mortality and intensive care unit and hospital length of stay. Twenty-two hospitals enrolled 3855 at-risk patients over a 6-month period. Nine hundred seventy-six (25.3%) were receiving aspirin at the time of hospitalization. Two hundred forty (6.2%) patients developed acute lung injury. Univariate analysis noted a reduced incidence of acute lung injury in those receiving aspirin therapy (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.46-0.90; p = .010). This association was attenuated in a stratified analysis based on deciles of aspirin propensity scores (Cochran-Mantel-Haenszel pooled OR, 0.70; 95% CI, 0.48-1.03; p = .072).


CONCLUSIONS
After adjusting for the propensity to receive aspirin therapy, no statistically significant associations between prehospitalization aspirin therapy and acute lung injury were identified; however, a prospective clinical trial to further evaluate this association appears warranted.
The predominant vestibular uptake of gadolinium through the oval window pathway is compromised by endolymphatic hydrops in Ménière's disease.

OBJECTIVE
Intratympanic administration of gentamicin is becoming a common therapy to control vertigo in Ménière's disease (MD). Drug entry through an oval window pathway was recently demonstrated in rats. The present study aimed to evaluate the permeability of the oval window to gadolinium in MD patients.


METHODS
Eight patients with MD and other inner ear diseases received a transtympanic injection of 5-fold diluted gadopentetate dimeglumine (Gd-DTPA). Three-dimensional fluid-attenuated inversion-recovery (3D-FLAIR) and 3D inversion recovery turbo spin echo with real reconstruction (3D-real IR) imaging was performed using a 3-Tesla MRI scanner at 3, 6, 12, and 24 h after injection. The extent of vestibular endolymphatic hydrops (EH) was determined, and the dynamics of the signal changes in the vestibule and the cochlear basal turn were evaluated.


RESULTS
Transtympanically injected Gd-DTPA entered the cochlea of all 8 of the patients and entered the vestibule of 7 of the 8 patients. EH was demonstrated in 2 patients with MD and the patient with idiopathic sensorineural hearing loss or idiopathic vertigo. In the patients lacking EH, the vestibules exhibited more efficient uptake of Gd-DTPA than did the cochleae. In the patients with vestibular EH, the Gd-DTPA signal in the vestibule was less intense than that in the cochlear basal turn.


CONCLUSION
In patients with inner ear diseases, the vestibular distribution of Gd-DTPA was compromised by vestibular EH, suggesting oval window passage of Gd-DTPA is reduced in the presence of EH.
Building Conceptual Maps from Scientific Articles

We present a new form of summarization for scientific domains in the form of conceptual maps which model the hierarchy and the relations among problems and solutions in a domain as presented in scientific articles.
Comparison of Recursive Algorithms for Emitter Localisation using TDOA Measurements from a Pair of UAVs

This paper presents a comparative analysis of three nonlinear filters for estimation of the location and velocity of a moving emitter, using time difference of arrival (TDOA) measurements received by two unmanned aerial vehicles (UAVs) as they traverse the surveillance region. The TDOA measurements are generated over time by comparing and subtracting leading edge time of arrivals (TOAs) of signals. The Cramer Rao lower bound (CRLB) of estimation errors is derived and used as the benchmark in performance analysis. The three nonlinear filters considered in the comparison are: a Gaussian mixture measurement integrated track splitting filter (GMM-ITSF), a multiple model filter with unscented Kalman filters (UKFs) and a multiple-model filter with extended Kalman filters (EKFs).
Relative performance of chelated zinc and zinc sulphate for lowland rice (Oryza sativa L.)

Field experiments were conducted during the wet seasons of 2005–2006 and 2006–2007 on an Aeric Endoaquept (pH 7.2) to study the relative performance of chelated zinc [Zn ethylene diamine tetra-acetic acid (EDTA)] and zinc sulphate (ZnSO4) on the growth and yield of rice (cv. IET 4094). The diethylene triamine penta-acetic acid (DTPA) extractable (available) Zn concentration in soil and total Zn content in dry matter of rice increased initially up to 28 days of crop growth when Zn was applied as a single basal source, being greater with chelated Zn compared with ZnSO4 application. The highest mean Zn uptake by rice grain and straw was found to be 209.2 and 133.8 g ha−1, respectively, in the treatment T7 (1 kg Zn ha−1 as Zn-EDTA at basal). The mean filled grain percentage, thousand grain weight and number of panicles m−2 were highest with 90.4%, 25.4 g and 452, respectively, in treatment T7 where 1 kg ha−1 Zn as Zn-EDTA was applied. The highest yield of grain and straw was 5.5 and 7.3 t ha−1, respectively, in treatment T7, resulting in a 37.5 and 43.1% increase in yield over that of the control during both the years.
Describing bibliographic references in RDF

In this paper we present two ontologies, i.e., BiRO and C4O, that allow users to describe bibliographic references in an accurate way, and we introduce REnhancer, a proof-of-concept implementation of a converter that takes as input a raw-text list of references and produces an RDF dataset according to the BiRO and C4O ontologies.
TEACHER SELF-ASSESSMENT: A MECHANISM FOR FACILITATING PROFESSIONAL GROWTH

Self-assessment is a powerful technique for improving achievement. In this article we outline a theory of teacher change that links self-assessment by teachers to their professional growth. This theory provides avenues for peers and change agents to influence teacher practice. We apply the theory to change in mathematics teaching and report an explanatory case study in which use of the self-assessment tool, in combination with other elements, contributed to change in the instructional practice of a grade 8 mathematics teacher. Provision of a self-assessment tool contributed to teacher growth by: 1) influencing the teacher’s definition of excellence in teaching and increasing his ability to recognize mastery experiences; 2) helping the teacher select improvement goals by providing him with clear standards of teaching, opportunities to find gaps between desired and actual practices, and a menu of options for action; 3) facilitating communication with the teacher’s peer, and 4) increasing the influence of external change agents on teacher practice. The study argues that providing a self-assessment tool is a constructive strategy for improving the effectiveness of in-service provided it is bundled with other professional growth strategies: peer coaching, observation by external change agents, and focused input on teaching strategies.
Multi-finger electrostatic passive haptic feedback on a visual display

This paper proposes a concept of multi-finger electrostatic haptic/tactile feedback system on a visual display. The system consists of a non-segmented transparent electrode fixed on an LCD monitor and multiple contact pads on which a user places his/her multiple fingers. By applying different voltages onto different pads, with the transparent electrode on the LCD being electrically grounded, the system renders different frictional stimuli to different fingers. The proposed system is expected to render passive kinesthetic force feedback, in addition to vibratory tactile feedback. To achieve this goal, the paper experimentally investigates force characteristics of the system in several different voltage conditions. The results reveal the force decaying characteristics on the system, and its dependence to the contact pad structures. The experiments also investigate the different force characteristics in DC and AC voltage conditions and confirm the advantage of AC voltage for constant force rendering. The paper finally reports on the developed prototype system with a simple demonstration program, which shows the potential of the proposed multi-finger electrostatic haptic feedback system.
Variability of CSF Alzheimer’s Disease Biomarkers: Implications for Clinical Practice

BACKGROUND
Cerebrospinal fluid (CSF) biomarkers are increasingly being used for diagnosis of Alzheimer's disease (AD).


OBJECTIVE
We investigated the influence of CSF intralaboratory and interlaboratory variability on diagnostic CSF-based AD classification of subjects and identified causes of this variation.


METHODS
We measured CSF amyloid-β (Aβ) 1-42, total tau (t-tau), and phosphorylated tau (p-tau) by INNOTEST enzyme-linked-immunosorbent assays (ELISA) in a memory clinic population (n = 126). Samples were measured twice in a single or two laboratories that served as reference labs for CSF analyses in the Netherlands. Predefined cut-offs were used to classify CSF biomarkers as normal or abnormal/AD pattern.


RESULTS
CSF intralaboratory variability was higher for Aβ1-42 than for t-tau and p-tau. Reanalysis led to a change in biomarker classification (normal vs. abnormal) of 26% of the subjects based on Aβ1-42, 10% based on t-tau, and 29% based on p-tau. The changes in absolute biomarker concentrations were paralleled by a similar change in levels of internal control samples between different assay lots. CSF interlaboratory variability was higher for p-tau than for Aβ1-42 and t-tau, and reanalysis led to a change in biomarker classification of 12% of the subjects based on Aβ1-42, 1% based on t-tau, and 22% based on p-tau.


CONCLUSIONS
Intralaboratory and interlaboratory CSF variability frequently led to change in diagnostic CSF-based AD classification for Aβ1-42 and p-tau. Lot-to-lot variation was a major cause of intralaboratory variability. This will have implications for the use of these biomarkers in clinical practice.
A Bayesian method for reducing bias in neural representational similarity analysis

1 In neuroscience, the similarity matrix of neural activity patterns in response to different sensory stimuli or under different cognitive states reflects the structure of neural representational space. Existing methods derive point estimations of neural activity patterns from noisy neural imaging data, and the similarity is calculated from these point estimations. We show that this approach translates structured noise from estimated patterns into spurious bias structure in the resulting similarity matrix, which is especially severe when signal-to-noise ratio is low and experimental conditions cannot be fully randomized in a cognitive task. We propose an alternative Bayesian framework for computing representational similarity in which we treat the covariance structure of neural activity patterns as a hyperparameter in a generative model of the neural data, and directly estimate this covariance structure from imaging data while marginalizing over the unknown activity patterns. Converting the estimated covariance structure into a correlation matrix offers an unbiased estimate of neural representational similarity. Our method can also simultaneously estimate a signal-to-noise map that informs where the learned representational structure is supported more strongly, and the learned covariance matrix can be used as a structured prior to constrain Bayesian estimation of neural activity patterns. 1 Neural pattern similarity as a way to understand neural representations Understanding how patterns of neural activity relate to internal representations of the environment is one of the central themes of both system neuroscience and human neural imaging [20, 5, 7, 15]. One can record neural responses (e.g. by functional magnetic resonance imaging; fMRI) while participants observe sensory stimuli, and in parallel, build different computational models to mimic the brain’s encoding of these stimuli. Neural activity pattern corresponding to each feature of an encoding model can then be estimated from the imaging data. Such activity patterns can be used to decode the content of different brain areas to the encoding process, and to decode perceived stimuli This is not the final version to appear in the proceedings of the 29th NIPS conference (2016). Please cite the most up-to-date reference from NIPS proceedings if possible, or the corresponding journal paper, once published. 29th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain. . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/073932 doi: bioRxiv preprint first posted online Sep. 7, 2016;
Efficacy of Coming Out Proud to reduce stigma's impact among people with mental illness: pilot randomised controlled trial.

BACKGROUND
Facing frequent stigma and discrimination, many people with mental illness have to choose between secrecy and disclosure in different settings. Coming Out Proud (COP), a 3-week peer-led group intervention, offers support in this domain in order to reduce stigma's negative impact.


AIMS
To examine COP's efficacy to reduce negative stigma-related outcomes and to promote adaptive coping styles (Current Controlled Trials number: ISRCTN43516734).


METHOD
In a pilot randomised controlled trial, 100 participants with mental illness were assigned to COP or a treatment-as-usual control condition. Outcomes included self-stigma, empowerment, stigma stress, secrecy and perceived benefits of disclosure.


RESULTS
Intention-to-treat analyses found no effect of COP on self-stigma or empowerment, but positive effects on stigma stress, disclosure-related distress, secrecy and perceived benefits of disclosure. Some effects diminished during the 3-week follow-up period.


CONCLUSIONS
Coming Out Proud has immediate positive effects on disclosure- and stigma stress-related variables and may thus alleviate stigma's negative impact.
Improved Probabilistic Inference as a General Learning Mechanism with Action Video Games

Action video game play benefits performance in an array of sensory, perceptual, and attentional tasks that go well beyond the specifics of game play [1-9]. That a training regimen may induce improvements in so many different skills is notable because the majority of studies on training-induced learning report improvements on the trained task but limited transfer to other, even closely related, tasks ([10], but see also [11-13]). Here we ask whether improved probabilistic inference may explain such broad transfer. By using a visual perceptual decision making task [14, 15], the present study shows for the first time that action video game experience does indeed improve probabilistic inference. A neural model of this task [16] establishes how changing a single parameter, namely the strength of the connections between the neural layer providing the momentary evidence and the layer integrating the evidence over time, captures improvements in action-gamers behavior. These results were established in a visual, but also in a novel auditory, task, indicating generalization across modalities. Thus, improved probabilistic inference provides a general mechanism for why action video game playing enhances performance in a wide variety of tasks. In addition, this mechanism may serve as a signature of training regimens that are likely to produce transfer of learning.
Deep CNN with color lines model for unmarked road segmentation

Road detection from a monocular camera is an important perception module in any advanced driver assistance or autonomous driving system. Traditional techniques [1, 2, 3, 4, 5, 6] work reasonably well for this problem, when the roads are well maintained and the boundaries are clearly marked. However, in many developing countries or even for the rural areas in the developed countries, the assumption does not hold which leads to failure of such techniques. In this paper we propose a novel technique based on the combination of deep convolutional neural networks (CNNs), along with color lines model [7] based prior in a conditional random field (CRF) framework. While the CNN learns the road texture, the color lines model allows to adapt to varying illumination conditions. We show that our technique outperforms the state of the art segmentation techniques on the unmarked road segmentation problem. Though, not a focus of this paper, we show that even on the standard benchmark datasets like KITTI [8] and CamVid [9], where the road boundaries are well marked, the proposed technique performs competitively to the contemporary techniques.
Investigation of LOCOS- and Polysilicon-Bound Diodes for Robust Electrostatic Discharge (ESD) Applications

In this paper, the current-carrying and voltage-clamping capabilities of LOCal Oxidation of Silicon (LOCOS)- and polysilicon-bound diodes are first investigated. Comparison of these capabilities leads to the conclusion that the polysilicon-bound diode is more suited for electrostatic discharge (ESD) protection applications. Then, to achieve an optimal diode structure for ESD applications, the effects of the cathode/anode length, cathode/anode width, polysilicon width, finger number, terminal connection, and metal layout on the polysilicon-bound diode's ESD robustness are studied and discussed in detail.
Low sintering temperature, high dielectric constant and small temperature coefficient dielectric compositions

Abstract Crystal structures and dielectric properties of lead zinc titanium niobate pyrochlores and bismuth zinc nickel niobate compositions were investigated as a function of composition and sintering temperature. These dielectrics have dielectric constants between 70 and 165 and their temperature coefficients are within ±500 × 10 −6 °C −1 . Some compositions have been identified to have a dielectric constant of 90 and a temperature coefficient of 0 ppm °C −1 . These compositions have a low sintering temperature (900–1000 °C) suitable for co-firing with high Ag internal electrodes. Multilayer capacitors have been fabricated from some of these compositions, and their device properties match those measured in disk samples. Accelerated life tests were performed to show that these multilayer capacitors have a reasonably good reliability.