LLukas22/scidocs huggingface dataset:
Epidemiological and clinical characteristics and behaviours of individuals with newly diagnosed HIV infection: a multicentre study in north Italy.

INTRODUCTION
We aimed to investigate socio-demographic, clinical and epidemiological characteristics and behaviours of subjects with new HIV diagnosis.


METHODS
We carried out a multi-centre cross-sectional study comprising 17 infectious diseases units in the Lombardy Region, North Italy. All subjects with a first positive test for HIV infection examined in 2008-09 were interviewed using a structured questionnaire.


RESULTS
472 patients were enrolled (mean age 39.8 years, standard deviation [SD] 11.5), mostly males (78%), and born in Italy (77%). The most common routes of HIV transmission were heterosexual intercourse (49%) and sex among men who have sex with men (MSM) (40%). Never/sometimes use of a condom with occasional partners was associated with male gender, heterosexual transmission route, and with >10 sexual partners in their lifetime. 47% had previous HIV negative tests. Having had more than 2 previous HIV negative tests was associated with younger age, MSM transmission route, CD4+ lymphocyte count >350/microl and self-perception of risk.


DISCUSSION
This study shows that there is a large portion of the adult population, especially heterosexual men aged 45 years and over, who are at high risk of acquiring and transmitting HIV infection and undergoing the HIV diagnostic test late, due to risk behaviours combined with a low perception of being at risk. Compared to people infected by heterosexual contacts, MSM show a greater awareness of being at risk of infection, but this knowledge has a low impact in reducing at-risk behaviours.
A 65nm 4Kb algorithm-dependent computing-in-memory SRAM unit-macro with 2.3ns and 55.8TOPS/W fully parallel product-sum operation for binary DNN edge processors

For deep-neural-network (DNN) processors [1-4], the product-sum (PS) operation predominates the computational workload for both convolution (CNVL) and fully-connect (FCNL) neural-network (NN) layers. This hinders the adoption of DNN processors to on the edge artificial-intelligence (AI) devices, which require low-power, low-cost and fast inference. Binary DNNs [5-6] are used to reduce computation and hardware costs for AI edge devices; however, a memory bottleneck still remains. In Fig. 31.5.1 conventional PE arrays exploit parallelized computation, but suffer from inefficient single-row SRAM access to weights and intermediate data. Computing-in-memory (CIM) improves efficiency by enabling parallel computing, reducing memory accesses, and suppressing intermediate data. Nonetheless, three critical challenges remain (Fig. 31.5.2), particularly for FCNL. We overcome these problems by co-optimizing the circuits and the system. Recently, researches have been focusing on XNOR based binary-DNN structures [6]. Although they achieve a slightly higher accuracy, than other binary structures, they require a significant hardware cost (i.e. 8T-12T SRAM) to implement a CIM system. To further reduce the hardware cost, by using 6T SRAM to implement a CIM system, we employ binary DNN with 0/1-neuron and ±1-weight that was proposed in [7]. We implemented a 65nm 4Kb algorithm-dependent CIM-SRAM unit-macro and in-house binary DNN structure (focusing on FCNL with a simplified PE array), for cost-aware DNN AI edge processors. This resulted in the first binary-based CIM-SRAM macro with the fastest (2.3ns) PS operation, and the highest energy-efficiency (55.8TOPS/W) among reported CIM macros [3-4].
# 61 Removing RFI Through Astronomical Image Processing

The development of broad-band radio astronomy systems will inevitably increase the vulnerabil¬ ity of radio astronomy to non-cosmic signals. Despite considerable efforts to design systems which can block strong RFI, it will not be possible to block all such signals, so that ultimately we must deal with the consequences in the imaging process. In this memo, we point out the similarity between the unwanted effects of RFI and that of a distant cosmic source. In the latter case, a well-developed methodology exists to characterize and remove such emissions. We show that the same methodology will work for RFI, provided it is not so strong as to saturate the system response, and has been sampled quickly enough to prevent phase smearing. We estimate the effectiveness of 'imaging' and removing RFI, and compare this approach to others. This approach to removing RFI has great potential, but will also be very expensive in temporary storage and processing requirements.
Performance Evaluation & Comparison of Software Testing Tool

Testing automation tools enables developers and testers to easily automate the entire process of testing in software development. The objective of the paper is to conduct a comparative study of automated tools such as market leading vendor tool in functional test automation, HP (QTP) Quick test professional with popular & free Selenium. This research is intended to check the viability of selenium as FTA solution by implementing on web based application. The performance of these testing tools is evaluated and compared and their inferences, implication and results are presented and discussed.
Disordered FGF23 and mineral metabolism in children with CKD.

BACKGROUND AND OBJECTIVES
In children with CKD, information is limited regarding the prevalence and determinants of fibroblast growth factor 23 excess and 1,25-dihyroxyvitamin D deficiency across the spectrum of predialysis CKD. This study characterized circulating concentrations of fibroblast growth factor 23 and 1,25-dihyroxyvitamin D, and investigated their interrelationships and associations with GFR and secondary hyperparathyroidism in children with CKD who were enrolled in the Chronic Kidney Disease in Children observational cohort study.


DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS
Plasma fibroblast growth factor 23 concentrations and determinants of mineral metabolism were measured in 464 children ages 1-16 years with predialysis CKD. GFR was measured by plasma disappearance of iohexol in 70% of participants and estimated by the Chronic Kidney Disease in Children estimating equation using serum creatinine and cystatin C concentrations in the remainder of the participants. Participants were grouped according to CKD stage and by 10-ml/min categories of GFR.


RESULTS
Median GFR for the cohort was 45 ml/min per 1.73 m(2) (interquartile range=33-57; range=15-109). Plasma fibroblast growth factor 23 concentration was above the normal range in 67% of participants (with higher levels observed among participants with lower GFR) before higher levels of serum parathyroid hormone and phosphorus were observed. Plasma fibroblast growth factor 23 levels were 34% higher in participants with glomerular disease than in participants with nonglomerular disease, despite similar GFR. Serum phosphorus levels, adjusted for age, were significantly lower at GFR of 60-69 ml/min per 1.73 m(2) than higher GFR, but thereafter they became higher in parallel with fibroblast growth factor 23 as GFR declined. Serum 1,25-dihyroxyvitamin D concentrations were lower in those participants with low GFR values, high fibroblast growth factor 23 levels, 25-hydroxyvitamin D deficiency, and proteinuria. Secondary hyperparathyroidism was present in 55% of participants with GFR<50 ml/min per 1.73 m(2).


CONCLUSION
In children with predialysis CKD, high plasma fibroblast growth factor 23 is the earliest detectable abnormality in mineral metabolism, and levels are highest in glomerular diseases.
Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring.

OBJECTIVE
Regular HIV RNA testing for all HIV-positive patients on antiretroviral therapy (ART) is expensive and has low yield since most tests are undetectable. Selective testing of those at higher risk of failure may improve efficiency. We investigated whether a novel analysis of adherence data could correctly classify virological failure and potentially inform a selective testing strategy.


DESIGN
Multisite prospective cohort consortium.


METHODS
We evaluated longitudinal data on 1478 adult patients treated with ART and monitored using the Medication Event Monitoring System (MEMS) in 16 US cohorts contributing to the MACH14 consortium. Because the relationship between adherence and virological failure is complex and heterogeneous, we applied a machine-learning algorithm (Super Learner) to build a model for classifying failure and evaluated its performance using cross-validation.


RESULTS
Application of the Super Learner algorithm to MEMS data, combined with data on CD4 T-cell counts and ART regimen, significantly improved classification of virological failure over a single MEMS adherence measure. Area under the receiver operating characteristic curve, evaluated on data not used in model fitting, was 0.78 (95% confidence interval: 0.75 to 0.80) and 0.79 (95% confidence interval: 0.76 to 0.81) for failure defined as single HIV RNA level >1000 copies per milliliter or >400 copies per milliliter, respectively. Our results suggest that 25%-31% of viral load tests could be avoided while maintaining sensitivity for failure detection at or above 95%, for a cost savings of $16-$29 per person-month.


CONCLUSIONS
Our findings provide initial proof of concept for the potential use of electronic medication adherence data to reduce costs through behavior-driven HIV RNA testing.
Experimental Validation of a Cardiac Simulator for in
vitro Evaluation of Prosthetic Heart Valves

OBJECTIVE
This work describes the experimental validation of a cardiac simulator for three heart rates (60, 80 and 100 beats per minute), under physiological conditions, as a suitable environment for prosthetic heart valves testing in the mitral or aortic position.


METHODS
In the experiment, an aortic bileaflet mechanical valve and a mitral bioprosthesis were employed in the left ventricular model. A test fluid of 47.6% by volume of glycerin solution in water at 36.5ºC was used as blood analogue fluid. A supervisory control and data acquisition system implemented previously in LabVIEW was applied to induce the ventricular operation and to acquire the ventricular signals. The parameters of the left ventricular model operation were based on in vivo and in vitro data. The waves of ventricular and systemic pressures, aortic flow, stroke volume, among others, were acquired while manual adjustments in the arterial impedance model were also established.


RESULTS
The acquired waves showed good results concerning some in vivo data and requirements from the ISO 5840 standard.


CONCLUSION
The experimental validation was performed, allowing, in future studies, characterizing the hydrodynamic performance of prosthetic heart valves.
Impact of stroke on health-related quality of life in diverse cultures: the Berlin-Ibadan multicenter international study

BACKGROUND
Various studies have reported discordant profiles of health-related quality of life (HRQOL) after stroke. The aims of this study, the first of its kind, were to determine the real impact of stroke on HRQOL across diverse cultures; and to compare HRQOL between stroke patients and healthy adults, and across stroke severity strata.


METHODS
100 stroke patients and 100 apparently healthy adults (AHAs) in Nigeria; as well as 103 stroke and 50 AHAs in Germany participated. Stroke severity was measured using the National Institute of Health Stroke Scale, Stroke Levity Scale and modified Rankin scale. HRQOL was evaluated using the HRQOL In Stroke Patients (HRQOLISP) measure, a holistic multiculturally-validated measure with seven therapeutically-relevant domains distributed into two spheres.


RESULTS
Domains within the spiritual sphere were considered more important by stroke patients. In both countries, stroke patients significantly (0.00001 < p < 0.004) had worse HRQOL than AHAs in all domains within the physical sphere. This was not so for the spiritual sphere. Consistently, stroke severity correlated significantly with all domains in the physical sphere unlike the spiritual sphere. In diverse cultures, the correlation coefficients between HRQOL and all indices of stroke severity revealed a decremental trend from the physical domain (rho = 0.77, p < 0.00001) to the spiritual domain (rho = 0.01, p = 0.893).


CONCLUSIONS
Consistently, stroke elicited a decremental response across domains, with domains in the spiritual sphere being relatively stroke-resilient. The potential utility of the relatively preserved spiritual sphere in facilitating stroke rehabilitation requires evaluation in diverse cultures.
Important considerations for effective gas sensors based on metal oxide nanoneedles films

Gas sensor devices based on either polycrystalline or nanoneedle tungsten oxide were deposited in situ on classical ceramic substrates via AACVD, and subsequently functionalised with gold nanoparticles via sputtering. The sensing properties of the films were tested to a wide range of analytes, revealing high responses to ethanol, hydrogen, and nitrogen dioxide, at low operating temperatures (≤ 250 oC), and a lack of response to carbon monoxide, ammonia, and hydrogen sulfide. In addition, the sensing responses to hydrogen and nitrogen dioxide, at 100 oC and 150 oC, were improved by using gold functionalised structures. Modest differences of the sensor response magnitude in polycrystalline, and nanoneedle films were observed, suggesting the need of special substrate platforms for effective application of nanostructured films in gas sensors devices.
Family caregiving of older Chinese people with dementia: testing a model.

BACKGROUND
The process of taking care of older people with dementia at home is complex and influenced by cultural factors, necessitating a better understanding of the interrelationships of factors within the context of culture.


OBJECTIVES
The aim of this study was to test the proposed Dementia Caregiving Model, specifying how caregiving appraisal, coping, perceived social support, and familism influence the impact of caregiving stressors on the psychological health of caregivers.


METHODS
A cross-sectional correlational design with a convenience sample (n = 96) from three outpatient clinics of hospitals in China was used. Questionnaires were utilized to measure the variables in the model. Path analysis was used to assess model fit and paths.


RESULTS
The original proposed model did not fit the data, butminor modifications produced a very good model fit (χ(10, n = 96) = 8.14, p = .62; goodness-of-fit index = .98, comparative fit index = 1.00, and root mean square error of approximation < .001). Care recipients' behavioral problems had direct and indirect negative effects on caregivers' psychological health. Perceived social support had direct and indirect positive effects on caregivers' psychological health. Familism had indirect positive effects on caregivers' psychological health in relation with caregiving satisfaction and coping. Caregiving appraisal and coping were mediators in the model.


CONCLUSIONS
The model findings lend support that caregivers' cognitive appraisal and coping explain some observed individual differences in stress response and outcomes. The findings broaden understanding of the effects of familism on caregivers' psychological health. In the future, programs should include interventions for caregivers, as well as interventions for care recipients.
Enhanced boiling heat transfer in mesochannels

0017-9310/$ see front matter 2009 Elsevier Ltd. A doi:10.1016/j.ijheatmasstransfer.2009.07.022 * Corresponding author. Tel.: +1 509 335 7989; fax E-mail address: dutta@mail.wsu.edu (P. Dutta). Heat transfer characteristics are studied for a hybrid boiling case that combine features of spray cooling and flow boiling. In such a hybrid system, a liquid is atomized and the surrounding vapor is entrained into the droplet cone to provide an initial quality for enhanced boiling. An in-house experimental setup was developed to obtain surface temperature and heat flux measurements in a series of converged mesochannels for hybrid boiling. To compare the heat transfer performance of this hybrid technique, a flow boiling module was also developed using the same series of converged mesochannels. The inlet and exit hydraulic diameter of the mesochannels was 1.55 and 1.17 mm, respectively. The heat flux was in the range of 15–45 kW/m and the estimated mass flux varied from 45 kg/ms at the channel inlet to 110 kg/ms at the channel outlet. Moreover, a model was presented to predict surface temperatures and heat transfer coefficients for flow boiling and hybrid boiling in mesochannels. This model was developed based on Chen’s formulation (1966) [21] but with two essential modifications. First, the laminar entry length effect was taken into consideration for heat transfer coefficient calculation. Second, the boiling enhancement factor was calculated based on the fluid properties. The model was compared to the experimental data and several other correlations for both cases. This model shows good agreement with the experimental data (mean deviations on the order of 12–16%). 2009 Elsevier Ltd. All rights reserved.
Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew

In standard NLP pipelines, morphological analysis and disambiguation (MA&D) precedes syntactic and semantic downstream tasks. However, for languages with complex and ambiguous word-internal structure, known as morphologically rich languages (MRLs), it has been hypothesized that syntactic context may be crucial for accurate MA&D, and vice versa. In this work we empirically confirm this hypothesis for Modern Hebrew, an MRL with complex morphology and severe word-level ambiguity, in a novel transition-based framework. Specifically, we propose a joint morphosyntactic transition-based framework which formally unifies two distinct transition systems, morphological and syntactic, into a single transition-based system with joint training and joint inference. We empirically show that MA&D results obtained in the joint settings outperform MA&D results obtained by the respective standalone components, and that end-to-end parsing results obtained by our joint system present a new state of the art for Hebrew dependency parsing.
Humanitarian Knowledge Management

International complex humanitarian emergencies present numerous challenges to aid organizations trying to manage data, information and knowledge about the situation or event. Humanitarian aid organizations should be able to identify what critical information they need, where to find it, what are the major gaps, and how best to share, present and disseminate this information. These challenges can be addressed through improved knowledge management. The faster and more efficiently humanitarian aid organizations are able to identify, collect, distill, analyze and manage the vast corpus of what they need to know, the more effectively they can plan for and respond to natural disasters and complex emergencies and the more lives are potentially saved.
Entity Resolution: Theory, Practice & Open Challenges

This tutorial brings together perspectives on ER from a variety of fields, including databases, machine learning, natural language processing and information retrieval, to provide, in one setting, a survey of a large body of work. We discuss both the practical aspects and theoretical underpinnings of ER. We describe existing solutions, current challenges, and open research problems.
Residual enhanced visual vector as a compact signature for mobile visual search

Many mobile visual search (MVS) systems transmit query data from a mobile device to a remote server and search a database hosted on the server. In this paper, we present a new architecture for searching a large database directly on a mobile device, which can provide numerous benefits for network-independent, low-latency, and privacy-protected image retrieval. A key challenge for on-device retrieval is storing a large database in the limited RAM of a mobile device. To address this challenge, we develop a new compact, discriminative image signature called the Residual Enhanced Visual Vector (REVV) that is optimized for sets of local features which are fast to extract on mobile devices. REVV outperforms existing compact database constructions in the MVS setting and attains similar retrieval accuracy in large-scale retrieval as a Vocabulary Tree that uses 25 more memory. We have utilized REVV to design and construct a mobile augmented reality system for accurate, large-scale landmark recognition. Fast on-device search with REVV enables our system to achieve latencies around 1 s per query regardless of external network conditions. The compactness of REVV allows it to also function well as a low-bitrate signature that can be transmitted to or from a remote server for an efficient expansion of the local database search when required. & 2012 Elsevier B.V. All rights reserved.
Safety and Efficacy from an 8 Week Double-Blind Trial and a 26 Week Open-Label Extension of Asenapine in Adolescents with Schizophrenia.

OBJECTIVE
The purpose of this study was to evaluate the safety and efficacy of asenapine in adolescents with schizophrenia.


METHODS
In an 8 week, randomized, double-blind placebo-controlled trial, subjects (12-17 years of age) meeting Diagnostic and Statistical Manual of Mental Disorders, 4th ed., Text Revision (DSM-IV-TR) criteria for schizophrenia were randomized 1:1:1 to placebo, asenapine 2.5 mg b.i.d., or asenapine 5 mg b.i.d. Subjects who completed the 8 week acute study could participate in a 26 week flexible-dose asenapine-only open-label extension (OLE).


RESULTS
A similar percentage of subjects completed treatment on day 56 (2.5 mg b.i.d. (n=98): 83%; 5 mg b.i.d. [n=106]: 79%; placebo [n=102]: 79%). In the mixed model for repeated measures analysis of the primary end-point (with Hochberg correction for multiplicity), least squares (LS) mean differences between asenapine and placebo on the Positive and Negative Syndrome Scale (PANSS) total score at day 56 were not significant (-4.8 for 2.5 mg b.i.d., p=0.070; -5.6 for 5 mg b.i.d., p=0.064). Significant improvement in the Clinical Global Impressions-Severity score was observed in the 5 mg b.i.d. group versus placebo on day 56 (LS mean -0.3, p=0.024). In the acute phase, ≥7% weight gain and the composite event of somnolence, sedation, and hypersomnia were more common in both asenapine groups than in the placebo group. Akathisia, fasting glucose elevation, and extrapyramidal syndrome were more common in the 5 mg b.i.d. group than in the placebo group. There were no unexpected adverse events in the OLE, and PANSS total scores decreased by -16.1 points in the group previously treated with placebo (n=62) and by -11.2 points in the continuous asenapine group (n=131) from OLE baseline to week 26.


CONCLUSIONS
Although improvements in PANSS total score at day 56 of the acute phase were numerically greater for both asenapine 2.5 and 5 mg b.i.d. than for placebo and were maintained in the OLE, the primary end-point did not achieve statistical significance in the acute phase. No new or unexpected safety concerns were detected during the acute phase or after an additional 26 weeks of asenapine treatment in the adolescent population with schizophrenia.


CLINICAL TRIALS REGISTRY
NCT01190254 and NCT1190267 at ClinicalTrials.gov.