LLukas22/scidocs huggingface dataset:
IPv4-v6 configured tunnel and 6to4 transition mechanisms network performance evaluation on Linux operating systems

Last few decades has brought many fundamental changes to data communications and the Internet. Internet has its roots in a networking project started by ARPA which consisted of four computers. Now the Internet spans the globe, and has become the default communication mechanism for businesses and individuals. IPv4 addresses will soon be exhausted, which has initiated development of IPv6. The new IP version provides solution to problems that were inherent in the earlier version, and also offers additional opportunities. However transition to the new version has been remarkably slow. Thus in the interim, various transition mechanisms can be employed. In this paper two such mechanisms, namely configured tunnel and 6to4 transition mechanism, have been empirically evaluated for performance. Both mechanisms are implemented on two different Linux distributions, and performance related metrics like throughput, delay, jitter and CPU usage of the transition end nodes are measured. The results obtained on the test-bed show that TCP/UDP throughput and jitter values of the two mechanisms are similar, but delay reading is significantly different depending on the choice of transition mechanism and operating system.
Clinical profile and prognostic value of low systolic blood pressure in patients hospitalized for heart failure with reduced ejection fraction: insights from the Efficacy of Vasopressin Antagonism in Heart Failure: Outcome Study with Tolvaptan (EVEREST) trial.

BACKGROUND
Systolic blood pressure (SBP) is related to the pathophysiologic development and progression of heart failure (HF) and is inversely associated with adverse outcomes during hospitalization for HF (HHF). The prognostic value of SBP after initiating inhospital therapy and the mode of death and etiology of cardiovascular readmissions based on SBP have not been well characterized in HHF.


METHODS
A post hoc analysis was performed of the placebo group (n = 2061) of the EVEREST trial, which enrolled patients within 48 hours of admission for worsening HF with an ejection fraction (EF) ≤40% and an SBP ≥90 mm Hg, for a median follow-up of 9.9 months. Systolic blood pressure was measured at baseline, daily during hospitalization, and at discharge/day 7. Patients were divided into the following quartiles by SBP at baseline: ≤105, 106 to 119, 120 to 130, and ≥131 mm Hg. Outcomes were all-cause mortality (ACM) and the composite of cardiovascular mortality or HHF (CVM + HHF). The associations between baseline, discharge, and inhospital change in SBP and ACM and CVM + HHF were assessed using multivariable Cox proportional hazards regression models adjusted for known covariates.


RESULTS
Median (25th, 75th) SBP at baseline was 120 (105, 130) mm Hg and ranged from 82 to 202 mm Hg. Patients with a lower SBP were younger and more likely to be male; had a higher prevalence of prior revascularization and ventricular arrhythmias; had a lower EF, worse renal function, higher natriuretic peptide concentrations, and wider QRS durations; and were more likely to require intravenous inotropes during hospitalization. Lower SBP was associated with increased mortality, driven by HF and sudden cardiac death, and cardiovascular hospitalization, primarily caused by HHF. After adjusting for potential confounders, SBP was inversely associated with risk of the coprimary end points both at baseline (ACM: hazard ratio [HR]/10-mm Hg decrease 1.15, 95% CI1.08-1.22; CVM + HHF: HR 1.09/10-mm Hg decrease, 95% CI 1.04-1.14) and at the time of discharge/day 7 (ACM: HR 1.15/10-mm Hg decrease, 95% CI 1.08-1.22; CVM + HHF: HR 1.07/10-mm Hg decrease, 95% CI 1.02-1.13), but the association with inhospital SBP change was not significant.


CONCLUSION
Systolic blood pressure is an independent clinical predictor of morbidity and mortality after initial therapy during HHF with reduced EF.
Physicians' knowledge of future vascular disease in women with preeclampsia.

OBJECTIVE
Preeclampsia, a hypertensive disorder of pregnancy, affects 5-8% of women. Large studies demonstrate a strong association between preeclampsia and future cardiovascular disease (CVD). Despite CVD being the leading cause of mortality for women, there has been little education for internal medicine physicians or obstetrician-gynecologists (ob-gyns) about this association; published guidelines do not include preeclampsia as a risk factor for future CVD. Therefore, women with a history of preeclampsia may not receive adequate risk-reduction counseling for CVD. It is unclear whether primary care physicians are aware of the association; thus, we sought to determine whether primary care providers at our institution were aware of preeclampsia's association with future CVD and whether they were providing appropriate counseling.


METHODS
An anonymous online survey was sent to all internists and (ob-gyns) at our hospital.


RESULTS
Although most internists (95%) and (ob-gyns) (70%) provide routine cardiovascular risk-reduction counseling, a substantial proportion of them were unaware of any health risk associated with a history of preeclampsia. Many internists were unsure or did not know whether preeclampsia is associated with ischemic heart disease (56%), stroke (48%), and decreased life expectancy (79%). The corresponding proportions for (ob-gyns) were 23, 38, and 77%, respectively. Only 9% of internists and 38% of obstetrician-gynecologists were providing cardiovascular risk-reduction counseling to women with a history of preeclampsia.


CONCLUSION
There is limited knowledge of the association between preeclampsia and future CVD; this deficiency may limit the application of this risk factor to clinical care.
When is a metal not a metal?

Small clusters of naked (no ligand attached) atoms or single atoms are seen as the ultimate catalyst for achieving different types of hydrocarbon reactions (i.e. Fischer-Tropsch reactions) without catalyzing the production of undesirable materials. Recently published works aim at the production of single atoms or clusters of naked atoms, and the characterization of these is surveyed. Attempts to answer the question of how many atoms of a specific material must cluster to bring about the transition to bulk material properties are also reported. This transition of properties occurs at different numbers of atoms/cluster for physics and chemistry. (BLM)
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification

Person re-identification (re-ID) requires rapid, flexible yet discriminant representations to quickly generalize to unseen observations on-the-fly and recognize the same identity across disjoint camera views. Recent effective methods are developed in a pair-wise similarity learning system to detect a fixed set of features from distinct regions which are mapped to their vector embeddings for the distance measuring. However, the most relevant and crucial parts of each image are detected independently without referring to the dependency conditioned on one and another. Also, these region based methods rely on spatial manipulation to position the local features in comparable similarity measuring. To combat these limitations, in this paper we introduce the Deep Co-attention based Comparators (DCCs) that fuse the co-dependent representations of the paired images so as to focus on the relevant parts of both images and produce their relative representations. Given a pair of pedestrian images to be compared, the proposed model mimics the foveation of human eyes to detect distinct regions concurrent on both images, namely co-dependent features, and alternatively attend to relevant regions to fuse them into the similarity learning. Our comparator is capable of producing dynamic representations relative to a particular sample every time, and thus well-suited to the case of re-identifying pedestrians on-the-fly. We perform extensive experiments to provide the insights and demonstrate the effectiveness of the proposed DCCs in person re-ID. Moreover, our approach has achieved the state-of-the-art performance on three benchmark data sets: DukeMTMC-reID [1], CUHK03 [2], and Market-1501 [3].
Genetic Alterations in Thyroid Carcinoma Associated with Familial Adenomatous Polyposis: Clinical Implications and Suggestions for Early Detection

Germ-line mutations of the adenomatous polyposis ( APC ) gene, responsible for familial adenomatous polyposis (FAP) were analyzed in 15 patients with FAP-associated papillary thyroid carcinomas: 13 had the mutation between codons 778 and 1309 (exon 15), 1 at codon 593 (exon 14), and 1 at codon 140 (exon 3). Therefore APC gene mutations clustered in the genomic area associated with congenital hypertrophy of the retinal pigment epithelium (CHRPE) (codons 463–1387). Ocular patches were documented in 12 patients. In particular, 4 of the 15 patients, all women with a mean age of 23.5 (range 20–32), were found during the study of 15 consecutive kindreds who had undergone systematic screening for extracolonic manifestations. Three of them belonged to the same kindred and were asymptomatic. These four patients were also screened for loss of heterozygosity of APC in the thyroid tumoral tissue. No biallelic inactivation of the APC gene was found. In contrast, three of these four patients had activation of the ret-PTC oncogene. In particular, there was activation of the ret-PTC1 isoform, a chimeric gene resulting from fusion of a gene named H4 with the RET gene. On histologic examination, three of the four patients showed Hashimoto-like lymphocytic infiltration. Present data suggest that: (1) the incidence of FAP-associated thyroid cancer probably has been underestimated in the past; (2) intensive screening could detect a larger than expected number of thyroid carcinomas; (3) systematic screening is recommended in patients with ocular patches and genetic mutation in exon 15; (4) Hashimoto-like findings do not exclude carcinoma but are a frequent accompanying finding; (5) despite frequent multicentricity and early lymph node involvement, FAP-associated thyroid tumors seem to have an excellent prognosis, in particular those showing ret-PTC activation.
Online Verification of Automated Road Vehicles Using Reachability Analysis

An approach for formally verifying the safety of automated vehicles is proposed. Due to the uniqueness of each traffic situation, we verify safety online, i.e., during the operation of the vehicle. The verification is performed by predicting the set of all possible occupancies of the automated vehicle and other traffic participants on the road. In order to capture all possible future scenarios, we apply reachability analysis to consider all possible behaviors of mathematical models considering uncertain inputs (e.g., sensor noise, disturbances) and partially unknown initial states. Safety is guaranteed with respect to the modeled uncertainties and behaviors if the occupancy of the automated vehicle does not intersect that of other traffic participants for all times. The applicability of the approach is demonstrated by test drives with an automated vehicle at the Robotics Institute at Carnegie Mellon University.
Exploring the knowledge landscape: four emerging views of knowledge

Purpose – The concept of ‘‘knowledge’’ is presented in diverse and sometimes even controversial ways in the knowledge management (KM) literature. The aim of this paper is to identify the emerging views of knowledge and to develop a framework to illustrate the interrelationships of the different knowledge types. Design/methodology/approach – This paper is a literature review to explore how ‘‘knowledge’’ as a central concept is presented and understood in a selected range of KM publications (1990-2004). Findings – The exploration of the knowledge landscape showed that ‘‘knowledge’’ is viewed in four emerging and complementary ways. The ontological, epistemological, commodity, and community views of knowledge are discussed in this paper. The findings show that KM is still a young discipline and therefore it is natural to have different, sometimes even contradicting views of ‘‘knowledge’’ side by side in the literature. Practical implications – These emerging views of knowledge could be seen as opportunities for researchers to provide new contributions. However, this diversity and complexity call for careful and specific clarification of the researchers’ standpoint, for a clear statement of their views of knowledge. Originality/value – This paper offers a framework as a compass for researchers to help their orientation in the confusing and ever changing landscape of knowledge.
The Measurement of Work Engagement With a Short Questionnaire: A Cross-National Study.

This article reports on the development of a short questionnaire to measure work engagement—a positive work-related state of fulfillment that is characterized by vigor, dedication, and absorption. Data were collected in 10 different countries (N = 14,521), and results indicated that the original 17-item Utrecht Work Engagement Scale (UWES) can be shortened to 9 items (UWES-9). The factorial validity of the UWES-9 was demonstrated using confirmatory factor analyses, and the three scale scores have good internal consistency and test-retest reliability. Furthermore, a two-factor model with a reduced Burnout factor (including exhaustion and cynicism) and an expanded Engagement factor (including vigor, dedication, absorption, and professional efficacy) fit best to the data. These results confirm that work engagement may be conceived as the positive antipode of burnout. It is concluded that the UWES-9 scores has acceptable psychometric properties and that the instrument can be used in studies on positive organizational behavior.
How are substance use disorders addressed in VA psychiatric and primary care settings? Results of a national survey.

OBJECTIVE
This study examined interventions for substance use disorders within the Department of Veterans Affairs (VA) psychiatric and primary care settings.


METHODS
National random samples of 83 VA psychiatry program directors and 102 primary care practitioners were surveyed by telephone. The survey assessed screening practices to detect substance use disorders, protocols for treating patients with substance use disorders, and available treatments for substance use disorders.


RESULTS
Respondents reported extensive contact with patients with substance use problems. However, a majority reported being ill equipped to treat substance use disorders themselves; they usually referred such patients to specialty substance use disorder treatment programs.


CONCLUSIONS
Offering fewer specialty substance use disorder services within the VA may be problematic: providers can refer patients to specialty programs only if such programs exist. Caring for veterans with substance use disorders may require increasing the capacity of and establishing new specialty programs or expanding the ability of psychiatric programs and primary care practitioners to provide such care.
Bundle-branch block as a risk factor in noncardiac surgery.

BACKGROUND
Despite extensive data examining perioperative risk in patients with coronary artery disease, little attention has been devoted to the implications of conduction system abnormalities.


OBJECTIVE
To define the clinical significance of bundle-branch block (BBB) as a perioperative risk factor.


METHODS
Retrospective, cohort-controlled study of all noncardiac, nonophthalmologic, adult patients with BBB seen in our preoperative evaluation center. Medical charts were reviewed for data regarding cardiovascular disease, surgical procedure, type of anesthesia, intravascular monitoring, and perioperative complications.


RESULTS
Bundle-branch block was present in 455 patients. Right BBB (RBBB) was more common than left BBB (LBBB) (73.8% vs 26.2%). Three patients with LBBB and 1 patient with RBBB died; 1 patient had a supraventricular tachyarrhythmia. Three of the 4 deaths were sepsis related. There were 2 (0.4%) deaths in the control group. There was no difference in mortality between BBB and control groups (P = .32). Subgroup analysis suggested an increased risk for death in patients with LBBB vs controls (P = .06; odds ratio, 6.0; 95% confidence interval, 1.2-100.0) and vs RBBB (P = .06; odds ratio, 8.7; 95% confidence interval, 1.2-100.0).


CONCLUSIONS
The presence of BBB is not associated with a high incidence of postoperative cardiac complications. Perioperative mortality is not increased in patients with RBBB and not directly attributable to cardiac complications in patients with LBBB. These data suggest that the presence of BBB does not significantly increase the likelihood of cardiac complications following surgery, but that patients with LBBB may not tolerate the stress of perioperative noncardiac complications.
Wind speed modeling and energy production simulation with Weibull sampling

This paper describes the maximum likely estimation (MLE) method and the method of moments (MOM) for wind speed modeling. The Weibull wind speed distribution models are fitted using the two methods and the wind data from a tall tower in the Midwestern United States, with seasonal wind speed variations also considered in the modeling. It turned out that both methods provide very similar results with comparable accuracy. The Monte Carlo simulation is used for obtaining expected wind energy production using a Weibull sampling technique.
Design Guidelines for Mobile Augmented Reality: User Experience

Mobile augmented reality (MAR) enabled devices have the capability to present a large amount of information in real time, based on sensors that determine proximity, visual reference, maps, and detailed information on the environment. Location and proximity technologies combined with detailed mapping allow effective navigation. Visual analysis software and growing image databases enable object recognition. Advanced graphics capabilities bring sophisticated presentation of the user interface. These capabilities together allow for real-time melding of the physical and the virtual worlds and can be used for information overlay of the user’s environment for various purposes such as entertainment, tourist assistance, navigation assistance, and education [ 1 ] . In designing for MAR applications it is very important to understand the context in which the information has to be presented. Past research on information presentation on small form factor computing has highlighted the importance of presenting the right information in the right way to effectively engage the user [ 2– 4 ] . The screen space that is available on a small form factor is limited, and having augmented information presented as an overlay poses very interesting challenges. MAR usages involve devices that are able to perceive the context of the user based on the location and other sensor based information. In their paper on “ContextAware Pervasive Systems: Architectures for a New Breed of Applications”, Loke [ 5 ] ,
RAPID SITUATION ASSESSMENTS OF ALCOHOL AND SUBSTANCE USE AMONG COMMERCIAL VEHICLE DRIVERS IN NIGERIA.

OBJECTIVES
To describe the current situation with respect to substance use and related harms among commercial vehicle drivers, and to identify a range of interventions that could be feasibly implemented to minimise harms related to substance use.


STUDY DESIGN
Observational and group interviews.


SETTING
Four different motor parks in Ibadan, Nigeria.


SUBJECTS
Data were obtained from a sample of commercial vehicle drivers, community and members of the law enforcement agencies.


RESULTS
Widespread use of psychoactive substances was reported. New trend of local alcohol beverage generally called 'sepe' tended to have replaced older ones such as palm wine. All substances of abuse were freely available and openly displayed at motor parks except for cocaine and narcotics. There was poor law provision and enforcement of laws prohibiting sale and use around motor parks or while driving.


CONCLUSIONS
This study shows the feasibility and value of conducting rapid assessments among commercial vehicle drivers in Nigeria. One outcome of this study is the development of a guide on rapid assessment of alcohol and other substance use assessment and a measure of brief intervention among them. Presentation of these findings should contribute to increased awareness and improved response from the government.
Decreases in psychological well-being among American adolescents after 2012 and links to screen time during the rise of smartphone technology.

In nationally representative yearly surveys of United States 8th, 10th, and 12th graders 1991-2016 (N = 1.1 million), psychological well-being (measured by self-esteem, life satisfaction, and happiness) suddenly decreased after 2012. Adolescents who spent more time on electronic communication and screens (e.g., social media, the Internet, texting, gaming) and less time on nonscreen activities (e.g., in-person social interaction, sports/exercise, homework, attending religious services) had lower psychological well-being. Adolescents spending a small amount of time on electronic communication were the happiest. Psychological well-being was lower in years when adolescents spent more time on screens and higher in years when they spent more time on nonscreen activities, with changes in activities generally preceding declines in well-being. Cyclical economic indicators such as unemployment were not significantly correlated with well-being, suggesting that the Great Recession was not the cause of the decrease in psychological well-being, which may instead be at least partially due to the rapid adoption of smartphones and the subsequent shift in adolescents' time use. (PsycINFO Database Record
Distilling the Knowledge in a Neural Network

A very simple way to improve the performance of almost any mac hine learning algorithm is to train many different models on the same data a nd then to average their predictions [3]. Unfortunately, making predictions u ing a whole ensemble of models is cumbersome and may be too computationally expen sive to allow deployment to a large number of users, especially if the indivi dual models are large neural nets. Caruana and his collaborators [1] have shown th at it is possible to compress the knowledge in an ensemble into a single model whi ch is much easier to deploy and we develop this approach further using a dif ferent compression technique. We achieve some surprising results on MNIST and w e show that we can significantly improve the acoustic model of a heavily use d commercial system by distilling the knowledge in an ensemble of models into a si ngle model. We also introduce a new type of ensemble composed of one or more full m odels and many specialist models which learn to distinguish fine-grained c lasses that the full models confuse. Unlike a mixture of experts, these specialist m odels can be trained rapidly and in parallel.