LLukas22/scidocs huggingface dataset:
Post-Hospital Outcomes of Patients With Acute Myocardial Infarction With Cardiogenic Shock: Findings From the NCDR.

BACKGROUND
Many patients with acute myocardial infarction (AMI) and cardiogenic shock survive hospitalization; little is known about their subsequent prognosis.


OBJECTIVES
This study sought to evaluate the associations between cardiogenic shock and post-discharge mortality and all-cause hospitalization among hospital survivors.


METHODS
We included patients ≥65 years of age with AMI from the ACTION Registry-GWTG (Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines) who survived hospitalization and linked these patients with Medicare claims data. We used proportional hazards models to test the association between cardiogenic shock and outcomes, adjusting for patient and hospital characteristics. Hazard ratios (HRs) are reported for early (1 to 60 days) and late (61 to 365 days) post-discharge time periods.


RESULTS
Among 112,668 AMI survivors, 5% had cardiogenic shock during hospitalization. The rate of death was significantly higher among patients with cardiogenic shock at 60 days (9.6% vs. 5.5%) and 1 year (22.4% vs. 16.7%). After accounting for baseline characteristics, the risk of death remained higher for cardiogenic shock patients in the first 60 days after discharge (adjusted HR: 1.62; 95% confidence interval [CI]: 1.46 to 1.80), but was similar to nonshock patients thereafter (adjusted HR: 1.08 for days 61 to 365; 95% CI: 1.00 to 1.18). The rate of all-cause hospitalization or death was significantly higher among shock patients at 60 days (33.9% vs. 24.9%) and 1 year (59.1% vs. 52.3%). After adjustment, the risk of this outcome was also clustered in the first 60 days (adjusted HR: 1.28; 95% CI: 1.21 to 1.35) and was similar thereafter (adjusted HR: 0.95 for days 61 to 365; 95% CI: 0.89 to 1.01).


CONCLUSIONS
Hospital survivors of AMI who had cardiogenic shock have a higher risk of death and/or hospitalization during the first year after discharge. The risk is time-dependent and is clustered in the early post-discharge period, after which the prognosis is similar in patients with and without cardiogenic shock.
LibGuides: SOCI 3820: Sociology of Education: Datasets & Statistics

This guide highlights resources of interest to students studying the sociology of education.
Fixed-Reference-Frame Phase-Locked Loop for Grid Synchronization Under Unbalanced Operation

This paper presents a grid synchronization scheme aimed to provide an estimation of the angular frequency and both the positive and negative sequences of the fundamental component of an unbalanced three-phase signal. These sequences are provided in fixed-reference-frame coordinates, and thus, the proposed algorithm is referred to as fixed-reference-frame phase-locked loop (PLL) (FRF-PLL). In fact, the FRF-PLL does not require transformation of variables into the synchronous frame coordinates as in most PLL schemes. Therefore, the proposed scheme is not based on the phase angle detection. Instead, the angular frequency is detected and used for synchronization purposes. The design of the FRF-PLL is based on a complete description of the source voltage involving both positive and negative sequences in stationary coordinates and considering the angular frequency as an uncertain parameter. Therefore, the FRF-PLL is intended to perform properly under severe unbalanced conditions and to be robust against angular frequency variations, sags, and swells in the three-phase utility voltage signal. Due to the selective nature of the scheme, it shows certain capability to alleviate the effect of harmonic distortion that is present in the utility voltage signal.
The Canadian planetary emulation terrain 3D mapping dataset

This paper describes a collection of 272 three-dimensional laser scans gathered at two unique planetary analogue rover test facilities in Canada, which offer emulated planetary terrain at manageable scales for algorithmic development. This dataset is subdivided into four individual subsets, each gathered using panning laser rangefinders on different mobile rover platforms. This data should be of interest to field robotics researchers developing rover navigation algorithms suitable for use in three-dimensional, unstructured, natural terrain. All of the data are presented in human-readable text files, and are accompanied by Matlab parsing scripts to facilitate use thereof. This paper provides an overview of the available data.
Unsupervised learning of time-frequency patches as a noise-robust representation of speech

We present a self-learning algorithm using a bottom-up based approach to automatically discover, acquire and recognize the words of a language. First, an unsupervised technique using non-negative matrix factorization (NMF) discovers phone-sized time–frequency patches into which speech can be decomposed. The input matrix for the NMF is constructed for static and dynamic speech features using a spectral representation of both short and long acoustic events. By describing speech in terms of the discovered time–frequency patches, patch activations are obtained which express to what extent each patch is present across time. We then show that speaker-independent patterns appear to recur in these patch activations and how they can be discovered by applying a second NMF-based algorithm on the co-occurrence counts of activation events. By providing information about the word identity to the learning algorithm, the retrieved patterns can be associated with meaningful objects of the language. In case of a small vocabulary task, the system is able to learn patterns corresponding to words and subsequently detects the presence of these words in speech utterances. Without the prior requirement of expert knowledge about the speech as is the case in conventional automatic speech recognition, we illustrate that the learning algorithm achieves a promising accuracy and noise robustness. 2009 Elsevier B.V. All rights reserved.
Mechanisms of acute exacerbation of respiratory symptoms in chronic obstructive pulmonary disease.

Exacerbations of chronic obstructive respiratory disease (ECOPD) are acute events characterized by worsening of the patient's respiratory symptoms, particularly dyspnoea, leading to change in medical treatment and/or hospitalisation. AECOP are considered respiratory diseases, with reference to the respiratory nature of symptoms and to the involvement of airways and lung. Indeed respiratory infections and/or air pollution are the main causes of ECOPD. They cause an acute inflammation of the airways and the lung on top of the chronic inflammation that is associated with COPD. This acute inflammation is responsible of the development of acute respiratory symptoms (in these cases the term ECOPD is appropriate). However, the acute inflammation caused by infections/pollutants is almost associated with systemic inflammation, that may cause acute respiratory symptoms through decompensation of concomitant chronic diseases (eg acute heart failure, thromboembolism, etc) almost invariably associated with COPD. Most concomitant chronic diseases share with COPD not only the underlying chronic inflammation of the target organs (i.e. lungs, myocardium, vessels, adipose tissue), but also clinical manifestations like fatigue and dyspnoea. For this reason, in patients with multi-morbidity (eg COPD with chronic heart failure and hypertension, etc), the exacerbation of respiratory symptoms may be particularly difficult to investigate, as it may be caused by exacerbation of COPD and/or ≥ comorbidity, (e.g. decompensated heart failure, arrhythmias, thromboembolisms) without necessarily involving the airways and lung. In these cases the term ECOPD is inappropriate and misleading.
SYNTAX score and Clinical SYNTAX score as predictors of very long-term clinical outcomes in patients undergoing percutaneous coronary interventions: a substudy of SIRolimus-eluting stent compared with pacliTAXel-eluting stent for coronary revascularization (SIRTAX) trial.

AIMS
To investigate the ability of SYNTAX score and Clinical SYNTAX score (CSS) to predict very long-term outcomes in an all-comers population receiving drug-eluting stents.


METHODS AND RESULTS
The SYNTAX score was retrospectively calculated in 848 patients enrolled in the SIRolimus-eluting stent compared with pacliTAXel-Eluting Stent for coronary revascularization (SIRTAX) trial. The CSS was calculated using age, and baseline left ventricular ejection fraction and creatinine clearance. A stratified post hoc comparison was performed for all-cause mortality, cardiac death, myocardial infarction (MI), ischaemia-driven target lesion revascularization (TLR), definite stent thrombosis, and major adverse cardiac events (MACE) at 1- and 5-year follow-up. Tertiles for SYNTAX score and CSS were defined as SS(LOW) ≤ 7, 7< SS(MID) ≤ 14, SS(HIGH) >14 and CSS(LOW) ≤ 8.0, 8.0 17.0, respectively. Major adverse cardiac events rates were significantly higher in SS(HIGH) compared with SS(LOW) at 1- and 5-year follow-up, which was also seen at 5 years for all-cause mortality, cardiac death, MI, and TLR. Stratifying outcomes across CSS tertiles confirmed and augmented these results. Within CSS(HIGH), 5-year MACE increased with use of paclitaxel- compared with sirolimus-eluting stents (34.7 vs. 21.3%, P = 0.008). SYNTAX score and CSS were independent predictors of 5-year MACE; CSS was an independent predictor for 5-year mortality. Areas-under-the-curve for SYNTAX score and CSS for 5-year MACE were 0.61 (0.56-0.65) and 0.62 (0.57-0.67), for 5-year all-cause mortality 0.58 (0.51-0.65) and 0.66 (0.59-0.73) and for 5-year cardiac death 0.63 (0.54-0.72) and 0.72 (0.63-0.81), respectively.


CONCLUSION
SYNTAX score and to a greater extent CSS were able to stratify risk for very long-term adverse clinical outcomes in an all-comers population receiving drug-eluting stents. Predictive accuracy for 5-year all-cause mortality was improved using CSS.


TRIAL REGISTRATION NUMBER
NCT00297661.
Efficient clustering approach using incremental and hierarchical clustering methods

There are many clustering methods available and each of them may give a different grouping of datasets. It is proven that hybrid clustering algorithms give efficient results over the other algorithms. In this paper, we propose an efficient hybrid clustering algorithm by combining the features of leader's method which is an incremental clustering method and complete linkage algorithm which is a hierarchical clustering procedure. It is most common to find the dissimilarity between two clusters as the distance between their centorids or the distance between two closest (or farthest) data points. However, these measures may not give efficient clustering results in all cases. So, we propose a new similarity measure, known as cohesion to find the intercluster distance. By using this measure of cohesion, a two level clustering algorithm is proposed, which runs in linear time to the size of input data set. We demonstrate the effectiveness of the clustering procedure by using the leader's algorithm and cohesion similarity measure. The proposed method works in two steps: In the first step, the features of incremental and hierarchical clustering methods are combined to partition the input data set into several smaller subclusters. In the second step, subclusters are merged continuously based on cohesion similarity measure. We demonstrate the effectiveness of this framework for the web mining applications.
Querying Graphs in Protein-Protein Interactions Networks Using Feedback Vertex Set

Recent techniques increase rapidly the amount of our knowledge on interactions between proteins. The interpretation of these new information depends on our ability to retrieve known substructures in the data, the Protein-Protein Interactions (PPIs) networks. In an algorithmic point of view, it is an hard task since it often leads to NP-hard problems. To overcome this difficulty, many authors have provided tools for querying patterns with a restricted topology, i.e., paths or trees in PPI networks. Such restriction leads to the development of fixed parameter tractable (FPT) algorithms, which can be practicable for restricted sizes of queries. Unfortunately, Graph Homomorphism is a W[1]-hard problem, and hence, no FPT algorithm can be found when patterns are in the shape of general graphs. However, Dost et al. [2] gave an algorithm (which is not implemented) to query graphs with a bounded treewidth in PPI networks (the treewidth of the query being involved in the time complexity). In this paper, we propose another algorithm for querying pattern in the shape of graphs, also based on dynamic programming and the color-coding technique. To transform graphs queries into trees without loss of informations, we use feedback vertex set coupled to a node duplication mechanism. Hence, our algorithm is FPT for querying graphs with a bounded size of their feedback vertex set. It gives an alternative to the treewidth parameter, which can be better or worst for a given query. We provide a python implementation which allows us to validate our implementation on real data. Especially, we retrieve some human queries in the shape of graphs into the fly PPI network.
Gamification in assessment: Do points affect test performance?

Gamification, applying game mechanics to nongame contexts, has recently become a hot topic across a wide range of industries, and has been presented as a potential disruptive force in education. It is based on the premise that it can promote motivation and engagement and thus contribute to the learning process. However, research examining this assumption is scarce. In a set of studies we examined the effects of points, a basic element of gamification, on performance in a computerized assessment of mastery and fluency of basic mathematics concepts. The first study, with adult participants, found no effect of the point manipulation on accuracy of responses, although the speed of responses increased. In a second study, with 6e8 grade middle school participants, we found the same results for the two aspects of performance. In addition, middle school participants' reactions to the test revealed higher likeability ratings for the test under the points condition, but only in the first of the two sessions, and perceived effort during the test was higher in the points condition, but only for eighth grade students. © 2015 Elsevier Ltd. All rights reserved.
Experiences with Realizing Smart Space Web Service Applications

This paper presents our approach for building an internet based middleware platform for smart spaces as well as a number of services and applications that we have developed on top of it. We outline the architecture for the smart space middleware and discuss several applications and services that we have so far realized with this middleware. The presented material highlights key concepts in our middleware vision: services are HTTP based and restful; applications are accessed through a browser so that they are available on a wide variety of devices; and we demonstrate the concept of bridging non internet enabled smart space devices to our IP and HTTP centric smart space network.
Two Finger Grasping Simulation with Cutaneous and Kinesthetic Force Feedback

This paper presents an experiment of two finger grasping. The task considered is the peg-in-hole and the simulated force feedback is cutaneous or kinesthetic. The kinesthetic feedback is provided by a commercial haptic device while the cutaneous one is provided by a new haptic display proposed in this work, which allows to render at the fingertip a wide range of contact forces. The device consists of a mobile surface, which interacts with the fingertip, actuated by three wires directly connected to the motors placed on the grounded structure of the display. This work summarizes the design of the proposed display and presents the main relationships which describe its kinematics and dynamics. Results showed that cutaneous feedback exhibits improved performances when compared to visual feedback only.
Effect of carotid endarterectomy on primary collateral blood flow in patients with severe carotid artery lesions.

BACKGROUND AND PURPOSE
In patients with severe obstruction of the internal carotid artery (ICA), it is recognized that the preoperative failure to visualize collaterals of the circle of Willis increases the risk of hemispheric ischemia before, during, and after carotid endarterectomy (CEA). The purpose of the present study was to assess the effect of CEA on the anatomy and function of the circle of Willis.


METHODS
Time-of-flight and phase-contrast MR angiography were used to study changes in vessel diameter and collateral flow of the circle of Willis in 48 patients with 70% to 99% ICA stenosis before and after CEA.


RESULTS
In patients with unilateral ICA stenosis, all preoperative vessel diameters on both sides of the circle of Willis were larger than in control subjects. All demonstrated a significant diameter decrease to reach normal values after CEA. Furthermore, preoperative collateral flow patterns normalized after CEA (P=0.03). In patients with stenosis and contralateral ICA occlusion, CEA resulted in a significant increase in the prevalence of collateral flow via the anterior communicating artery (33% to 83%, P<0.01) and a significant increase in diameter of both A1 segments (P<0.05) in patients in whom collateral flow developed after CEA.


CONCLUSIONS
CEA reduces the caliber of compensatory collateral channels to normal levels by MR angiography measurements in the presence of severe unilateral stenosis; when the opposite side is occluded and the stenosis is removed ipsilaterally, a greater amount of compensatory collateral circulation can be measured on both the occluded side and the fully opened side.
Farming Efficiency and the Determinants of Multiple Job Holding by Farm Operators

The extent to which farm families engage in off-farm employment activities is a topic of central importance to understanding the financial well-being of farm households. The degree of financial stress experienced by U.S. farm families is always a concern to policy makers. Yet, policy considerations often ignore the substantial involvement of most farm households in nonfarm labor markets. It has been shown that, when the entire farm household is considered, the “average” U.S. farm household has a higher total income and much greater asset holdings than is the case for nonfarm households (see, e.g., Goodwin). Mishra et al. presented data for 2000 suggesting that, when all farms are considered, 92% of total household income came from nonfarm sources. Of course, such figures depend on how one chooses to define a farm. When one considers large and very large commercial farms, the share of farm income in total household income ranges from 50 to 75%.1 Further, the involvement of farm households in nonfarm employment activities has shown steady growth over the last 50 years. Smith notes that in 1930 about 11% of farmers worked at least 100 days per year off the farm. By 1997, this figure had risen to about 45% with roughly one-third of operators working full time off the farm. An extensive literature has evolved that investigates the determinants of farm household involvement in nonfarm labor markets. Schultz noted that off-farm employment was an important means by which farm households can manage risk through diversification of income sources. Mishra and Goodwin confirmed the
Use of drug-eluting versus bare-metal stents after an acute coronary syndrome in Portugal: the EURHOBOP study.

INTRODUCTION AND OBJECTIVES
The interventional cardiologist chooses a specific stent type based on the risk-benefit profile for each case. In general, drug-eluting stents should be considered in all clinical conditions, except if there are concerns or contraindications for prolonged dual antiplatelet therapy. The aim of this work was to describe the use of bare-metal vs. drug-eluting stents in patients undergoing percutaneous coronary intervention (PCI) after an acute coronary syndrome in Portuguese hospitals, according to patients' demographic and clinical characteristics and institutional characteristics.


METHODS
Within the EURopean Hospital Benchmarking Processes (EURHOBOP) study, we retrospectively assessed 3009 consecutive patients in 10 Portuguese hospitals in 2009. Only patients with stents implanted during PCI (n=1194) were analyzed.


RESULTS
A total of 425 patients (36%) received a bare-metal stent and 769 patients (64%) received a drug-eluting stent. A history of previous PCI, current non-ST-elevation myocardial infarction, anterior descending artery as the infarct-related artery and being initially admitted to a hospital with a catheterization laboratory were associated with drug-eluting stent implantation. Age under 45 or over 80, anemia and previous anticoagulation and/or atrial fibrillation were associated with bare-metal stent use.


CONCLUSIONS
Approximately two-thirds of patients received drug-eluting stents, which were less frequently implanted in patients with ST-elevation myocardial infarction, aged over 80 years, female, with a previous history of stroke, anticoagulation and/or atrial fibrillation and anemia. Patients who had previously undergone PCI and those with the anterior descending artery as the infarct-related artery were more likely to receive a drug-eluting stent.
Computed tomographic colonography (virtual colonoscopy): a multicenter comparison with standard colonoscopy for detection of colorectal neoplasia.

CONTEXT
Conventional colonoscopy is the best available method for detection of colorectal cancer; however, it is invasive and not without risk. Computed tomographic colonography (CTC), also known as virtual colonoscopy, has been reported to be reasonably accurate in the diagnosis of colorectal neoplasia in studies performed at expert centers.


OBJECTIVE
To assess the accuracy of CTC in a large number of participants across multiple centers.


DESIGN, SETTING, AND PARTICIPANTS
A nonrandomized, evaluator-blinded, noninferiority study design of 615 participants aged 50 years or older who were referred for routine, clinically indicated colonoscopy in 9 major hospital centers between April 17, 2000, and October 3, 2001. The CTC was performed by using multislice scanners immediately before standard colonoscopy; findings at colonoscopy were reported before and after segmental unblinding to the CTC results.


MAIN OUTCOME MEASURES
The sensitivity and specificity of CTC and conventional colonoscopy in detecting participants with lesions sized at least 6 mm. Secondary outcomes included detection of all lesions, detection of advanced lesions, possible technical confounders, participant preferences, and evidence for increasing accuracy with experience.


RESULTS
A total of 827 lesions were detected in 308 of 600 participants who underwent both procedures; 104 participants had lesions sized at least 6 mm. The sensitivity of CTC for detecting participants with 1 or more lesions sized at least 6 mm was 39.0% (95% confidence interval [CI], 29.6%-48.4%) and for lesions sized at least 10 mm, it was 55.0% (95% CI, 39.9%-70.0%). These results were significantly lower than those for conventional colonoscopy, with sensitivities of 99.0% (95% CI, 97.1%->99.9%) and 100%, respectively. A total of 496 participants were without any lesion sized at least 6 mm. The specificity of CTC and conventional colonoscopy for detecting participants without any lesion sized at least 6 mm was 90.5% (95% CI, 87.9%-93.1%) and 100%, respectively, and without lesions sized at least 10 mm, 96.0% (95% CI, 94.3%-97.6%) and 100%, respectively. Computed tomographic colonography missed 2 of 8 cancers. The accuracy of CTC varied considerably between centers and did not improve as the study progressed. Participants expressed no clear preference for either technique.


CONCLUSIONS
Computed tomographic colonography by these methods is not yet ready for widespread clinical application. Techniques and training need to be improved.