LLukas22/scidocs huggingface dataset:
Translate Once, Translate Twice, Translate Thrice and Attribute: Identifying Authors and Machine Translation Tools in Translated Text

In this paper, we investigate the effects of machine translation tools on translated texts and the accuracy of authorship and translator attribution of translated texts. We show that the more translation performed on a text by a specific machine translation tool, the more effects unique to that translator are observed. We also propose a novel method to perform machine translator and authorship attribution of translated texts using a feature set that led to 91.13% and 91.54% accuracy on average, respectively. We claim that the features leading to highest accuracy in translator attribution are translator-dependent features and that even though translator-effect-heavy features are present in translated text, we can still succeed in authorship attribution. These findings demonstrate that stylometric features of the original text are preserved at some level despite multiple consequent translations and the introduction of translator-dependent features. The main contribution of our work is the discovery of a feature set used to accurately perform both translator and authorship attribution on a corpus of diverse topics from the twenty-first century, which has been consequently translated multiple times using machine translation tools.
Supplier selection using fuzzy AHP and fuzzy multi-objective linear programming for developing low carbon supply chain

Environmental sustainability of a supply chain depends on the purchasing strategy of the supply chain members. Most of the earlier models have focused on cost, quality, lead time, etc. issues but not given enough importance to carbon emission for supplier evaluation. Recently, there is a growing pressure on supply chain members for reducing the carbon emission of their supply chain. This study presents an integrated approach for selecting the appropriate supplier in the supply chain, addressing the carbon emission issue, using fuzzy-AHP and fuzzy multi-objective linear programming. Fuzzy AHP (FAHP) is applied first for analyzing the weights of the multiple factors. The considered factors are cost, quality rejection percentage, late delivery percentage, green house gas emission and demand. These weights of the multiple factors are used in fuzzy multi-objective linear programming for supplier selection and quota allocation. An illustration with a data set from a realistic situation is presented to demonstrate the effectiveness of the proposed model. The proposed approach can handle realistic situation when there is information vagueness related to inputs. 2012 Elsevier Ltd. All rights reserved.
Simultaneous localization and mapping (SLAM): part II

S imultaneous localization and mapping (SLAM) is the process by which a mobile robot can build a map of the environment and, at the same time, use this map to compute its location. The past decade has seen rapid and exciting progress in solving the SLAM problem together with many compelling implementations of SLAM methods. The great majority of work has focused on improving computational efficiency while ensuring consistent and accurate estimates for the map and vehicle pose. However, there has also been much research on issues such as nonlinearity, data association , and landmark characterization, all of which are vital in achieving a practical and robust SLAM implementation. This tutorial focuses on the recursive Bayesian formulation of the SLAM problem in which probability distributions or estimates of absolute or relative locations of landmarks and vehicle pose are obtained. Part I of this tutorial (IEEE Robotics & Auomation Magazine, vol. 13, no. 2) surveyed the development of the essential SLAM algorithm in state-space and particle filter form, described a number of key implementations, and cited locations of source code and real-world data for evaluation of SLAM algorithms. Part II of this tutorial (this article), surveys the current state of the art in SLAM research with a focus on three key areas: computational complexity, data association, and environment representation. Much of the mathematical notation and essential concepts used in this article are defined in Part I of this tutorial and, therefore, are not repeated here. SLAM, in its naive form, scales quadratically with the number of landmarks in a map. For real-time implementation, this scaling is potentially a substantial limitation in the use of SLAM methods. The complexity section surveys the many approaches that have been developed to reduce this complexity. These include linear-time state augmentation, sparsifica-tion in information form, partitioned updates, and submapping methods. A second major hurdle to overcome in the implementation of SLAM methods is to correctly associate observations of landmarks with landmarks held in the map. Incorrect association can lead to catastrophic failure of the SLAM algorithm. Data association is particularly important when a vehicle returns to a previously mapped region after a long excursion, the so-called loop-closure problem. The data association section surveys current data association methods used in SLAM. These include batch-validation methods that exploit constraints inherent in the SLAM formulation, appearance based methods, and multihypothesis techniques. The third development discussed in this tutorial is …
Percutaneous transhepatic venous access for catheter ablation procedures in patients with interruption of the inferior vena cava.

BACKGROUND
Catheter ablation of left-sided atrial arrhythmias generally is performed using a transfemoral venous approach through the inferior vena cava (IVC). In this report, we assessed the feasibility of a percutaneous transhepatic approach to ablation of left-sided atrial arrhythmias in 2 patients with interruption of the IVC.


METHODS AND RESULTS
Patient 1 had atrial flutter in the setting of complex congenital heart disease and prior Fontan for univentricular physiology and a single atrium. Patient 2 had atrial fibrillation. Percutaneous hepatic vein access was obtained with ultrasound and fluoroscopic guidance. Transseptal catheterization was performed in patient 2. After the procedure, the hepatic tract in patient 1 was cauterized using a bipolar radiofrequency catheter, and an Amplatzer vascular plug was used in patient 2 to obtain hemostasis. Percutaneous hepatic vein access was achieved without complications. After electroanatomical mapping, a linear lesion was placed between the single atrioventricular valve and the confluence of the hepatic veins in patient 1; this terminated the flutter, and bidirectional block was achieved. In patient 2, the pulmonary veins were electrically isolated using an extraostial approach, isolating the ipsilateral veins in pairs. Additionally, ablation of right-side atrial flutter was achieved by obtaining bidirectional block across a linear lesion between the tricuspid valve and confluence of the hepatic veins. Hemostasis of the transhepatic tract was attained in both patients.


CONCLUSIONS
In patients with interrupted IVCs, a percutaneous transhepatic approach is a feasible alternative for performing catheter ablation of complex left-sided arrhythmias.
Multiple Band-Notched UWB Antenna With Band-Rejected Elements Integrated in the Feed Line

To mitigate potential interferences with coexisting wireless systems operating over 3.3-3.6 GHz, 5.15-5.35 GHz, or 5.725-5.825 GHz bands, four novel band-notched antennas suitable for ultra-wideband (UWB) applications are proposed. These include UWB antennas with a single wide notched band, a single narrow notched band, dual notched bands, and triple notched bands. Each antenna comprises a half-circle shaped patch with an open rectangular slot and a half-circle shaped ground plane. Good band-notched performance is achieved by using high permittivity and low dielectric loss substrate, and inserting quarter-wavelength horizontal/vertical stubs or alternatively embedding quarter-wavelength open-ended slots within the feed line. The results of both simulation and measurement confirm that the gain suppression of the single and multiple band-notched antennas in each desired notched band are over 15 dB and 10 dB , respectively. The radiation pattern of the proposed triple band-notched design is relatively stable across the operating frequency band.
Collaboration between hospital physicians and nurses: an integrated literature review.

BACKGROUND
Ineffective physician-nurse collaboration has been shown to cause work dissatisfaction among physicians and nurses and compromised the quality of patient care.


AIM
The review sought to explore: (1) attitudes of physicians and nurses toward physician-nurse collaboration; (2) factors affecting physician-nurse collaboration; and (3) strategies to improve physician-nurse collaboration.


METHODS
A literature search was conducted in the following databases: CINAHL, PubMed, Wiley Online Library and Scopus from year 2002 to 2012, to include papers that reported studies on physician-nurse collaboration in the hospital setting.


FINDINGS
Seventeen papers were included in this review. Three of the reviewed articles were qualitative studies and the other 14 were quantitative studies. Three key themes emerged from this review: (1) attitudes towards physician-nurse collaboration, where physicians viewed physician-nurse collaboration as less important than nurses but rated the quality of collaboration higher than nurses; (2) factors affecting physician-nurse collaboration, including communication, respect and trust, unequal power, understanding professional roles, and task prioritizing; and (3) improvement strategies for physician-nurse collaboration, involving inter-professional education and interdisciplinary ward rounds.


CONCLUSION
This review has highlighted important aspects of physician-nurse collaboration that could be addressed by future research studies. These include: developing a comprehensive instrument to assess collaboration in greater depth; conducting rigorous intervention studies to evaluate the effectiveness of improvement strategies for physician-nurse collaboration; and examining the role of senior physicians and nurses in facilitating collaboration among junior physicians and nurses. Other implications include inter-professional education to empower nurses in making clinical decisions and putting in place policies to resolve workplace issues.
Data Encryption and Decryption by Using Triple DES and Performance Analysis of Crypto System

This paper contains a technique for secret communication using cryptography. It is a technique which is used to protect the important data. The secret message is encrypted by a block cipher based on two cryptographic algorithms, the Data Encryption Standard (DES) and the Triple Data Encryption Algorithm (TDEA) which may be used by Federal organizations to protect sensitive data. This algorithm uniquely defines the mathematical steps required to transform data into a cryptographic cipher and also to transforms the cipher back to the original form with block length of 128 bits and key length of 256 bits. This paper provides a performance comparison between the most common encryption algorithms: DES, 3DES, AES and Blowfish.
Efficacies of the new Paclitaxel-eluting Coroflex Please™ Stent in percutaneous coronary intervention; comparison of efficacy between Coroflex Please™ and Taxus™ (ECO-PLEASANT) trial: study rationale and design

BACKGROUND
Previous randomized trials have showed the superiority of Paclitaxel-eluting stent over bare metal stent in angiographic and clinical outcomes. Coroflex Please stent is a newly developed drug eluting stent using the Coroflex stent platform combined with the drug paclitaxel contained in a polymer coating. PECOPS I trial, one-arm observational study, showed that the clinical and angiographic outcomes of Coroflex Please stent were within the range of those of Taxus, the 1st generation paclitaxel-eluting stent (PES). However, there have been no studies directly comparing the Coroflex Please stent with the Taxus Liberte stent that is the newest version of Taxus. Therefore, prospective, randomized trial is required to demonstrate the non-inferiority of Coroflex Please stent compared with Taxus Liberte stent in a head-to-head manner.


METHODS
In the comparison of Efficacy between COroflex PLEASe ANd Taxus stent(ECO-PLEASANT) trial, approximately 900 patients are being prospectively and randomly assigned to the either type of Coroflex Please stent and Taxus Liberte stent via web-based randomization. The primary endpoint is clinically driven target vessel revascularization at 9 months. The secondary endpoints include major cardiac adverse events, target vessel failure, stent thrombosis and angiographic efficacy endpoints.


DISCUSSION
The ECO-PLEASANT trial is the study not yet performed to directly compare the efficacy and safety of the Coroflex Please versus Taxus Liberte stent. On the basis of this trial, we will be able to find out whether the Coroflex Please stent is non-inferior to Taxus Liberte stent or not.


TRIAL REGISTRATION
ClinicalTrials.gov number, NCT00699543.
The one comparing narrative social network extraction techniques

Correspondence: michelle.edwards@adelaide.edu.au University of Adelaide, Adelaide, SA 5005, Australia Full list of author information is available at the end of the article Abstract Analysing narratives through their social networks is an expanding field in quantitative literary studies. Manually extracting a social network from any narrative can be time consuming, so automatic extraction methods of varying complexity have been developed. However, the effect of different extraction methods on the analysis is unknown. Here we model and compare three extraction methods for social networks in narratives: manual extraction, co-occurrence automated extraction and automated extraction using machine learning. Although the manual extraction method produces more precise results in the network analysis, it is much more time consuming and the automatic extraction methods yield comparable conclusions for density, centrality measures and edge weights. Our results provide evidence that social networks extracted automatically are reliable for many analyses. We also describe which aspects of analysis are not reliable with such a social network. We anticipate that our findings will make it easier to analyse more narratives, which help us improve our understanding of how stories are written and evolve, and how people interact with each other.
Patterns and processes in reef fish diversity

A central aim of ecology is to explain the heterogeneous distribution of biodiversity on earth. As expectations of diversity loss grow, this understanding is also critical for effective management and conservation. Although explanations for biodiversity patterns are still a matter for intense debate, they have often been considered to be scale-dependent. At large geographical scales, biogeographers have suggested that variation in species richness results from factors such as area, temperature, environmental stability, and geological processes, among many others. From the species pools generated by these large-scale processes, community ecologists have suggested that local-scale assembly of communities is achieved through processes such as competition, predation, recruitment, disturbances and immigration. Here we analyse hypotheses on speciation and dispersal for reef fish from the Indian and Pacific oceans and show how dispersal from a major centre of origination can simultaneously account for both large-scale gradients in species richness and the structure of local communities.
Effectiveness of a community based low intensity exercise program for older adults.

OBJECTIVE
The aim of this study was to assess the effectiveness of a community-based, low-intensity exercise programme in older adults from socio-economically and historically disadvantaged communities.


DESIGN
Three community centres were selected: two were allocated to the same 20-week, twice-weekly exercise program (EX1, n=38; EX2, n=32); and a third to relaxation classes (control/CTL; n=21). Measurements at baseline, 10 and 20 weeks included field tests for anthropometry, static and dynamic balance, gait, upper and lower body strength, 6-minute walk test, blood pressure, activities of daily living (ADL), instrumental activities of daily living (IADL), physical activity recall and self perceived health status.


RESULTS
Exercise training significantly improved dynamic balance in both groups (75.1+/-31.5 vs 55.3+/-13.6 s, and 53.3+/-17.0 vs 37.0+/-10.4 s, for EX1 and EX2, respectively, p < 0.001 compared to CTL (57+/-27 vs 53+/-15 s). Lower body strength, as measured by the number of sit-to-stand repetitions in 10 s was also significantly improved in both EX1 and EX2 (p<0.001). No significant changes occurred in the CTL group. Systolic blood pressure decreased in both EX1 and EX2 from baseline to 20 weeks (147.8+/-12.8 vs 143.9+/-3.3 mmHg and 143.0+/-13.9 vs 137.4+/-14.5 mmHg, respectively, p<0.009, compared to CTL (147+/-13 to 150+/-16 mmHg). Furthermore, in a sub sample of subjects who were hypertensive at the outset, exercise intervention was associated with a significant decrease in systolic blood pressure (n=26; 146+/-14 mmHg to 140+/-14 mmHg; p=0.005). Variables unaffected by exercise training were upper body strength, body composition and fat distribution, 20 m walk, cardiovascular endurance, time spent in recreational activities, self perceived health status and ADL.


CONCLUSION
A community-based, low intensity exercise programme improved dynamic balance and lower body strength in community dwelling older adults and improved blood pressure, particularly in those who were hypertensive.
Rapid separation of milk whey proteins by anion exchange chromatography.

A fast protein liquid chromatography system was used to fractionate the major proteins of sweet and acid wheys. Fifty to 500 microliter of whey were fractionated with a stepwise ionic strength gradient using water (buffer A) and increasing concentrations of .7 M sodium acetate (buffer B). Six well-resolved peaks were obtained: 1) amino acids (tentative identification), 2) low molecular weight peptides (tentative identification), 3) highly enriched alpha-lactalbumin, 4) highly enriched serum albumin 5) electrophoretically pure beta-lactoglobulin B, and electrophoretically pure beta-lactoglobulin A. A poor baseline or unresolved peaks resulted when .02 M bis-tris or .02 M histidine was used for buffer A and .7 M sodium acetate in .02 M bis-tris or histidine was used for buffer B. When sodium chloride was used in place of sodium acetate, beta-lactoglobulins A and B were poorly resolved. The column was cleaned after each run by injecting 2 ml of the following reagents: glacial acetic acid, 2 N sodium chloride, 2 N sodium hydroxide, 2 N sodium chloride, 2% detergent, and 100% acetonitrile. Time required to run each sample including column cleanup was 40 min.
Association of Small Dense LDL Serum Levels and Circulating Monocyte Subsets in Stable Coronary Artery Disease

OBJECTIVE
Atherosclerosis is considered to be an inflammatory disease in which monocytes and monocyte-derived macrophages play a key role. Circulating monocytes can be divided into three distinct subtypes, namely in classical monocytes (CM; CD14++CD16-), intermediate monocytes (IM; CD14++CD16+) and non-classical monocytes (NCM; CD14+CD16++). Low density lipoprotein particles are heterogeneous in size and density, with small, dense LDL (sdLDL) crucially implicated in atherogenesis. The aim of this study was to examine whether monocyte subsets are associated with sdLDL serum levels.


METHODS
We included 90 patients with angiographically documented stable coronary artery disease and determined monocyte subtypes by flow cytometry. sdLDL was measured by an electrophoresis method on polyacrylamide gel.


RESULTS
Patients with sdLDL levels in the highest tertile (sdLDL≥4mg/dL;T3) showed the highest levels of pro-inflammatory NCM (15.2±7% vs. 11.4±6% and 10.9±4%, respectively; p<0.01) when compared with patients in the middle (sdLDL=2-3mg/dL;T2) and lowest tertile (sdLDL=0-1mg/dL;T1). Furthermore, patients in the highest sdLDL tertile showed lower CM levels than patients in the middle and lowest tertile (79.2±8% vs. 83.9±7% and 82.7±5%; p<0.01 for T3 vs. T2+T1). Levels of IM were not related to sdLDL levels (5.6±4% vs. 4.6±3% vs. 6.4±3% for T3, T2 and T1, respectively). In contrast to monocyte subset distribution, levels of circulating pro- and anti-inflammatory markers were not associated with sdLDL levels.


CONCLUSION
The atherogenic lipoprotein fraction sdLDL is associated with an increase of NCM and a decrease of CM. This could be a new link between lipid metabolism dysregulation, innate immunity and atherosclerosis.
Knowledge Base Population using Stacked Ensembles of Information Extractors

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Types of Machine Learning Algorithms

• Supervised learning --where the algorithm generates a function that maps inputs to desired outputs. One standard formulation of the supervised learning task is the classification problem: the learner is required to learn (to approximate the behavior of) a function which maps a vector into one of several classes by looking at several input-output examples of the function. • Unsupervised learning --which models a set of inputs: labeled examples are not available. • Semi-supervised learning --which combines both labeled and unlabeled examples to generate an appropriate function or classifier. • Reinforcement learning --where the algorithm learns a policy of how to act given an observation of the world. Every action has some impact in the environment, and the environment provides feedback that guides the learning algorithm. • Transduction --similar to supervised learning, but does not explicitly construct a function: instead, tries to predict new outputs based on training inputs, training outputs, and new inputs. • Learning to learn --where the algorithm learns its own inductive bias based on previous experience.
Fulminant course in a patient with anti-N-methyl-d-aspartate receptor encephalitis with bilateral ovarian teratomas

RATIONALE
Anti-N-methyl-D-aspartate (NMDA) receptor encephalitis is an autoimmune disorder that can be controlled and reversed by immunotherapy. The presentation of NMDA receptor encephalitis varies, but NMDA receptor encephalitis is seldom reported in patients with both bilateral teratomas and preexisting brain injury.


PATIENT CONCERNS
A 28-year-old female with a history of traumatic intracranial hemorrhage presented acute psychosis, seizure, involuntary movement, and conscious disturbance with a fulminant course. Anti-NMDA receptor antibody was identified in both serum and cerebrospinal fluid, confirming the diagnosis of anti-NMDA receptor encephalitis. Bilateral teratomas were also identified during tumor survey. DIAGNOSES:: anti-N-methyl-D-aspartate receptor encephalitis.


INTERVENTIONS
Tumor resection and immunotherapy were performed early during the course.


OUTCOMES
The patient responded well to tumor resection and immunotherapy. Compared with other reports in the literature, her symptoms rapidly improved without further relapse.


LESSONS
This case report demonstrates that bilateral teratomas may be related to high anybody titers and that the preexisting head injury may be responsible for lowering the threshold of neurological deficits. Early diagnosis and therapy are crucial for a good prognosis in such patients.
5I-1 Microfabrication of Piezoelectric Composite Ultrasound Transducers (PC-MUT)

In this paper a piezoelectric composite based micromachined ultrasound transducer (PC-MUT) fabrication technology is presented. PMN-PT single crystal posts with side length of 14 mum and height of > 60 mum were fabricated using a deep dry etching method. High frequency (20-50 MHz) PMN-PT single crystal/epoxy 1-3 composites were prepared and the electromechanical coupling coefficient of the composites was ~0.72. Prototype 40 MHz ultrasound transducers showed promising sensitivity and bandwidth