Miracle-dz/UniFAR-FTUs huggingface dataset:
Safe, effective and durable epicardial left atrial appendage clip occlusion in patients with atrial fibrillation undergoing cardiac surgery: first long-term results from a prospective device trial.

OBJECTIVES Atrial fibrillation (AF) is a significant risk factor for embolic stroke originating from the left atrial appendage (LAA). This is the first report of long-term safety and efficacy data on LAA closure using a novel epicardial LAA clip device in patients undergoing cardiac surgery. METHODS Forty patients with AF were enrolled in this prospective 'first-in-man' trial. The inclusion criterion was elective cardiac surgery in adult patients with AF for which a concomitant ablation procedure was planned. Intraoperative transoesophageal echocardiography (TEE) was used to exclude LAA thrombus at baseline and evaluate LAA perfusion after the procedure, while computed tomography (CT) was used for serial imagery workup at baseline, 3-, 12-, 24- and 36-month follow-up. RESULTS Early mortality was 10% due to non-device-related reasons, and thus 36 patients were included in the follow-up consisting of 1285 patient-days and mean duration of 3.5 ± 0.5 years. On CT, clips were found to be stable, showing no secondary dislocation 36 months after surgery. No intracardial thrombi were seen, none of the LAA was reperfused and in regard to LAA stump, none of the patients demonstrated a residual neck >1 cm. Apart from one unrelated transient ischaemic attack (TIA) that occurred 2 years after surgery in a patient with carotid plaque, no other strokes and/or neurological events demonstrated in any of the studied patients during follow-up. CONCLUSION This is the first prospective trial in which concomitant epicardial LAA occlusion using this novel epicardial LAA clip device is 100% effective, safe and durable in the long term. Closure of the LAA by epicardial clipping is applicable to all-comers regardless of LAA morphology. Minimal access epicardial LAA clip closure may become an interesting therapeutic option for patients in AF who are not amenable to anticoagulation and/or catheter closure. Further data are necessary to establish LAA occlusion as a true and viable therapy for stroke prevention. CLINICAL TRIAL REGISTRATION The trial is registered at www.ClinicalTrials. gov, reference: NCT00567515.
A 4-MHz CMOS Continuous-Time Filter with On-Chip Automatic Tuning

This paper presents a 3rd order low-pass continuous-time filter with 4 MHz cut-off frequency, integrated in a 3 μm CMOS process. The design approach is based on the direct simulation of a doubly-terminated LC ladder using capacitors and fully-balanced, current-controlled transconductance amplifiers with extended linear range. PLL techniques, involving a 8.5 MHz controlled oscillator that matches a specific part of the filter, are used to realize on-chip automatic tuning. The complete circuit features 71 dB dynamic range and consumes only 16 mW from a single 5 V supply.
Cross Boundary Knowledge Management Mechanisms by Key Users in ES Implementation

Key users play an essential role in the implementation of enterprise systems (ES), undertaking a great deal of knowledge management. However, this important phenomenon has been largely overlooked by the extant literature. Drawing upon theories on cross boundary knowledge management, this research addresses why key users can facilitate cross boundary knowledge management, and how they do it. This case study shows the role of key users in overcoming physical, cognitive, and social boundaries in ES implementation, through mechanisms for crossing physical boundaries (i.e., creating a joint structure), crossing cognitive boundaries (i.e., adapting to the language of consultants and translating business knowledge), and crossing social boundaries (i.e., identity expansion and negotiating various stakeholders’ interests). Results also reveal positive effects of the boundary crossing mechanisms on knowledge management, via creating liminal knowledge space, shared knowledge, and knowledge transformation.
Th World Congress of Structural and Multidisciplinary Optimization Strength and Aeroelastic Structural Optimization of Aircraft Lifting Surfaces Using Two-level Approach

The paper gives brief description of the multidisciplinary design system for aeroelastic and strength optimization of aircraft lifting surfaces. Structural models of two levels are described. Main relationships for analysis of characteristics of static and dynamic aeroelasticity used as constraints in structural optimization are given. The optimization methods used for the optimization are described. The solution of two example problems of optimization under strength and aeroelasticity constraints of lifting surfaces of aircraft illustrates the possibilities of the approach. 1. Introduction The problem of the preliminary design of an aircraft structure is to define structural sizes that will ensure minimum weight while satisfying the numerous multidisciplinary constraints. These constraints are of different types for many load conditions in disciplines such as linear statics, normal modes, and static and dynamic aeroelasticity. The responses in the disciplines can be analyzed by programs which use structural models of different fidelity and different approach. In the multidisciplinary design system ARGON [1] the problems of aeroelasticity and loads calculation are solved by using the discrete-continual model of prescribed forms (first level model) [2]. The finite element model (second level model) [3] is used for detailed evaluation of stresses and displacements of structure. An approach for structural optimization of lifting surfaces based on two-level modeling of aircraft is presented in the paper. Basic relations for computing the strength/stiffness/aeroelasticity constraints are discussed. By now the automated multidisciplinary design systems for solving this problem were developed at various companies [4-6]. The integrated design systems enable engineers to increase a bulk of numerical investigations and promote weight, aerodynamic and structural improvement of aircraft. Optimization methods play an important role in the design systems. In ARGON system optimality criteria algorithms for minimization of structural weight under stress and displacement constraints were implemented for practical optimization [7]. To take into account buckling constraints the criterion of equal stability of structural panels was used for determination of reasonable sizes of panel. The efficient methods of mathematical programming were realized to solve optimization problems while satisfying various constraints [8]. In this paper particular attention is paid to the allowance for aeroelastic constraints in optimization problems. The numerical studies were performed on the example of a 4-engine wide body airplane which is researched in the 3AS European project. Structural optimization is performed for the airplane model with different types of aeroelastic wing tip controls (AWTC). Obtained results contain the influence of availability of the AWTC …
Towards a Better Understanding of Personal Productivity in the Context of Information Technology Use

IS research has spent considerable efforts to elaborate metrics for measuring the success of Information Systems (IS) implementations. System usage (Davis et al. 1989), technology infusion (Zmud and Apple 1992), trying to innovate with information technology (Ahuja and Thatcher 2005) or user satisfaction (Doll and Torkzadeh 1988) are among those measures that now allow IS researchers and practitioners to better understand the benefits of the Information Technology (IT) that are being implemented. As individuals use multiple IT in the workplace or even at home, a key understudied issue is that of user personal productivity during the interaction this myriad of IT. This is an even more salient issue nowadays as business productivity is one of the main concerns of Chief Information Officers (Luftman and Ben-Zvi 2010). Our research objective is twofold. We aim at 1) exploring the issues faced by individual IT users who interact with multiple integrated and non-integrated IT, and 2) identifying the facets and propose productivity framework in order to better understand this concept.
Host Galaxy Bulge Predictors of Supermassive Black Hole Mass

A variety of host galaxy (bulge) parameters are examined in order to determine their predictive power in ascertaining the masses of the supermassive black holes (SMBHs) at the centers of the galaxies. Based on a sample of 23 nearby galaxies, comprised of both elliptical galaxies and spiral/lenticular bulges, we identify a strong correlation between the bulge gravitational binding energy (Eg), as traced by the stellar light profile, and the SMBH mass (M•), such that M• ∝ E. The scatter about the relationship indicates that this is as strong a predictor of M• as the velocity dispersion (σ), for the elliptical galaxy subsample. Improved mass-to-light ratios, obtained with IFU spectroscopy and I-band photometry by the SAURON group, were used for those sample galaxies where available, resulting in an energy predictor with the same slope, but with reduced scatter. Alternative M• predictors such as the gravitational potential and the bulge mass are also explored, but these are found to be inferior when compared with both the bulge gravitational binding energy and bulge velocity dispersion predictors, for the full galaxy sample.
Large-Scale RDF Dataset Slicing

In the last years an increasing number of structured data was published on the Web as Linked Open Data (LOD). Despite recent advances, consuming and using Linked Open Data within an organization is still a substantial challenge. Many of the LOD datasets are quite large and despite progress in RDF data management their loading and querying within a triple store is extremely time-consuming and resource-demanding. To overcome this consumption obstacle, we propose a process inspired by the classical Extract-Transform-Load (ETL) paradigm. In this article, we focus particularly on the selection and extraction steps of this process. We devise a fragment of SPARQL dubbed SliceSPARQL, which enables the selection of well-defined slices of datasets fulfilling typical information needs. SliceSPARQL supports graph patterns for which each connected sub graph pattern involves a maximum of one variable or IRI in its join conditions. This restriction guarantees the efficient processing of the query against a sequential dataset dump stream. As a result our evaluation shows that dataset slices can be generated an order of magnitude faster than by using the conventional approach of loading the whole dataset into a triple store and retrieving the slice by executing the query against the triple store's SPARQL endpoint.
The association between psychopathology and substance use: adolescent and young adult substance users in inpatient treatment in Cape Town, South Africa

Introduction Evidence suggests that comorbid psychopathology can negatively affect treatment outcomes in substance users. In South Africa, limited information exists regarding the prevalence, nature and role of psychiatric comorbidity in substance users. This study examined psychiatric comorbidity and its association with specific substance use, and young adult substance users in treatment for substance use. Methods Male and female inpatient substance users (n=95; ages 17-30 years) were sampled consecutively in order of admission from three clinics in Cape Town. An interview schedule was administered to elicit patients’ sociodemographic and substance use history details. The computer-assisted Diagnostic Interview Schedule DSM IV (C-DIS IV) was administered to screen patients for current psychiatric disorders. Resuls The sample was largely male, Coloured, Muslim and single. Cannabis (51.6%) and crystal methamphetamine (17.9%) were the most common first substances of use. Heroin (53.7%) and crystal methamphetamine (33.7%) were the most common substances for which treatment was sought (primary substances). The most common comorbid psychopathologies were anti-social personality disorder (ASPD 87.4%) and conduct disorder (CD 67.4%). Regression analyses showed a marginally significant association between specific phobia and first use of cannabis, but indicated no statistically significant associations between psychopathology and substance use. Conclusion The results demonstrated a high proportion of previously unidentified comorbid psychopathology in inpatient substance users. Further research is needed to investigate psychiatric comorbidity in inpatient substance users.
Geometric Random Linear Codes in Sensor Networks

Wireless sensor networks consist of unreliable and energy-constrained sensors connecting to each other wirelessly. As measured data may be lost due to sensor failures, maintaining the persistence of periodically measured data in a scalable fashion has become a critical challenge in sensor networks, without the use of centralized servers. To cope with node failures, while providing convenient access to measured data, we propose geometric random linear codes, to encode data in a hierarchical fashion in geographic regions with different sizes, such that data are easy to access, if the original sensors producing the data are alive. Otherwise, data are persistently available elsewhere in the network. Although our coding scheme is simple, we have shown that it enjoys the same low encoding cost as sparse random linear codes, while dramatically decreasing the decoding cost. We present extensive analytical and experimental results to show the effectiveness of geometric random linear codes.
Rate Allocation with Minimized Packet-Loss in Multi-Hop Wireless Ad Hoc Networks

Due to time-varying topological changes in a wireless ad hoc network, it is a challenging issue to provide stringent QoS requirements of most real-time applications. Each real-time application requires a speci(cid:12)c set of QoS parameter guarantees (such as delay, jitter, packet loss.). As multi-path routing has the potential of reducing the congestion and increasing the throughput of the user tra(cid:14)c in multi-hop wireless networks, it is assumed that multiple paths are available in advance between each source-destination pair. In the current work, those subsets of real-time applications (such as Video On Demand), which require minimized packet loss and a lower bound on the delivered bandwidth, are taken into account. Using a constrained optimization framework and trying to minimize the packet loss, an optimal rate is allocated to each source-destination path of the real-time application. Simulation results verify the enhanced performance of the proposed method in terms of the packet error rate.
Trust model for private cloud

The recent developments in cloud computing technology show an increase in security, privacy and trust related problems, in many ways, which haven't been predicted by the ones who have been designing clouding environments. Among them, the users trust problem and cloud computing resources secure access warranty have deserved special attention. Computing systems trust representation have been widely discussed and applied in a lot of information technology scenarios. This paper proposes the development trust model to ensure a reliable files exchange among users in a private cloud, as well as the calculation process of trust among these users, according to the metrics previously established.
HIV counselling and testing practices for children seen in an urban emergency department of a tertiary referral hospital in Dar es Salaam, Tanzania: a retrospective cross-sectional study

Objectives To describe the HIV counselling and testing practices for children presenting to an emergency department (ED) in a low-income country. Setting The ED of a large east African national referral hospital. Participants This retrospective review of all paediatric (<18 years old) ED visits in 2012 enrolled patients who had an HIV test ordered and excluded those without testing. Files were available for 5540/5774 (96%) eligible patients and 1632 (30%) were tested for HIV, median age 1.3 years (IQR 9 months to 4 years), 58% <18 months old and 61% male. Primary and secondary outcome measures The primary outcome measure was documentation of pretest and post-test counselling, or deferral of counselling, for children tested for HIV in the ED. Secondary measures included the overall rate of HIV testing, rate of counselling documented in the inpatient record when deferred in the ED, rate of counselling documented when testing was initiated by the inpatient service, rate of counselling documented by test result (positive vs negative) and the rate of referral to follow-up HIV care among patients testing positive. Results Of 418 patients tested in the ED, counselling, or deferral of counselling, was documented for 70 (17%). When deferred to the ward, subsequent counselling was documented for 15/42 (36%). Counselling was documented in 33% of patients testing positive versus 1.1% patients testing negative (OR 43 (95% CI 23 to 83). Of 199 patients who tested positive and survived to hospital discharge, 76 (38%) were referred for follow-up at the HIV clinic on discharge. Conclusions Physicians documented the provision, or deferral, of counselling for <20% of children tested for HIV in the ED. Counselling was much more likely to be documented when the test result was positive. Less than 40% of those testing positive were referred for follow-up care.
**title** Asp Conference Series, Vol. **volume***, **year of Publication** **names of Editors** the Unidentified Infrared Features after Iso

The Infrared Space Observatory (ISO) has provided the first complete mid-IR spectra for a wide range of objects. Almost all of these spectra are dominated by the well-known infrared emission features at 3.3, 6.2, 7.7, and 11.2 µm, the so-called Unidentified Infra-Red (UIR) features. Besides the major features, there is an array of minor features and broad plateaux stretching from 3 to 20 µm which reveal subtle details of conditions in the emission zones and properties of the carriers. Generally attributed to the vibrational relaxation of UV-pumped Poly-cyclic Aromatic Hydrocarbon molecules (PAHs) containing some 50–100 C-atoms, these UIR spectra are a treasure trove of information. The ISO spectra have, for the first time, allowed a systematic analysis of the spectral characteristics of the UIR features in a wide variety of environments. The peak positions, profiles, and relative strengths of the major features vary from source to source and spatially within sources. Variations in the 6.2 and 7.7 µm features are particularly noteworthy; the former peaks between 6.25–6.3 µm in many PNe, but falls at 6.2 µm in RNe and H ii regions. Similarly, the broad 7.7 µm feature consists of major components at 7.6 and " 7.8 " µm whose relative strengths vary. The 7.6 µm component dominates in H ii regions and reflection nebulae, while the " 7.8 " µm feature takes over in most PNe. These specific profiles are not unique to certain object types but can occur within each individual source. While the 3.3 and 11.2 µm also show variations in peak position and profile, these are much less pronounced. In addition, the 3.3 µm feature intensity correlates quite well with that of the 11.2 µm feature, a correlation which does not extend to the CH modes between 12 and 14 µm. Also, variations occurs in the relative strengths of the CC modes in the 6–9 µm range relative to the CH modes 3.3 and 11.2 µm. Such behavior requires that the UIR features are carried by a family of related compounds whose detailed physical and/or chemical characteristics vary 1 2 Peeters et al. in response to local physical conditions. Here, we review ISO and recent ground-based observations and assess some of their implications.
Using Volunteer Computing for Mounting SAT-based Cryptographic Attacks

In this paper we describe the volunteer computing project SAT@home, developed and maintained by us. This project is aimed at solving hard instances of the Boolean satisfiability problem (SAT). We believe that this project can be a useful tool for computational study of inversion problems of some cryptographic functions. In particular we describe a series of experiments performed in SAT@home on the cryptanalysis of the widely known keystream generator A5/1. In all experiments we analyzed one known burst (114 bits) of keystream produced by A5/1. Before the cryptanalysis itself there is a stage on which the partitioning of the original problem to a family of subproblems is carried out. Each of subproblems should be easy enough so that it could be solved in relatively small amount of time by volunteer's PC. We construct such partitioning using the special technique based on the Monte Carlo method and discrete optimization algorithms for special predictive functions. Besides this in the paper we describe the technique for reducing inversion problems of cryptographic functions to SAT.
Automatic interlinear glossing as two-level sequence classification

Interlinear glossing is a type of annotation of morphosyntactic categories and crosslinguistic lexical correspondences that allows linguists to analyse sentences in languages that they do not necessarily speak. Automatising this annotation is necessary in order to provide glossed corpora big enough to be used for quantitative studies. In this paper, we present experiments on the automatic glossing of Chintang. We decompose the task of glossing into steps suitable for statistical processing. We first perform grammatical glossing as standard supervised part-of-speech tagging. We then add lexical glosses from a stand-off dictionary applying context disambiguation in a similar way to word lemmatisation. We obtain the highest accuracy score of 96% for grammatical and 94% for lexi-