Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining Variational Sampling and Metropolis--Hastings Sampling for Paraphrase Generation

Paraphrasing involves changing the expression of a sentence and rewording it to inform the same information as the original sentence and can occur at wordlevel, phrase-level, or sentence-level. Paraphrasing task has been attracting attention in recent years as several natural language processing (NLP) applications such as question answering, information extraction, information retrieval, and summarization benefit from the success of automatic paraphrase generation. Researchers have developed various paraphrase generation techniques, including knowledge-based approaches, supervised data-driven approaches, and unsupervised data-driven approaches. Knowledge-based approaches are labor intensive and do not generalize well and supervised approaches require massive parallel corpora of pairs of sentences and paraphrases. In this work, we propose an unsupervised paraphrasing technique that works in word-level as well as phrase-level for sentence-level paraphrase generation. Existing work either samples directly from sentence space or from a variational latent space while our work combines them both. We show the drawbacks and difficulties of techniques that work at word-level only and propose a technique consisting of three word-level operations (word replacement, word deletion, and word insertion) and a novel phrase-level paraphrasing operation (phrase replacement). The three word-level operations sample directly from the sentence space while our phrase-level operation samples from the latent space of a variational autoencoder (VAE) trained on phrases. We perform paraphrase generation iteratively with the objective of generii ating paraphrases that are 1) fluent, and 2) close in semantic information to the input sentence. We use Metropolis–Hastings (MH) algorithm, a Markov Chain Monte Carlo (MCMC) algorithm, to sample from sentence space and latent space. In each iteration, we randomly select a word/phrase and an operation to form a proposal and use MH to accept or reject the proposal and generate a paraphrase. We show the effectiveness of our approach with a series of experiments. First, we train a VAE using Stanford Natural Language Inference (SNLI) dataset [8] and Quora dataset for phrase replacement operation. Second, we evaluate our approach on the Quora dataset including 139k pairs of questions and paraphrases using iBLEU score as our main evaluation metric. The results show that our novel phrase replacement operation improves the quality of paraphrases when compared with techniques paraphrasing by direct wordlevel sampling only. We show our phrase-level operation can effectively edit multiple words at a time and generate high quality paraphrases. We also discuss the difficulties of evaluation with iBLEU score and VAE training. https://www.kaggle. com/c/quora-question-pairs/data iii To my parents, For their endless love, support, and encouragement.
THE PLANNING OF THE SPORT TRAINING: TIE CHANGES TO THE NEW FORMS TO UNDERSTAND THE CONTEMPORARY SPORT STRUCTURES

The present study tries to make a summary on the modifications and tendencies in the models of traditional and contemporary planning of the sport training. The use of new concepts that complement the classics models, the modifications in the structure of present competitions, the improvements in the material conditions, the necessary investment until the high performance, the contributos of science and the adaptations to the training load are all factors that are necessary for reflection for an effective planning of the modern sport training.
REVISIÓN DE LA LITERATURA SOBRE DESEMPEÑO OCUPACIONAL DE TRABAJADORES EN PESCA COMERCIAL REVIEW ABOUT OCCUPATIONAL PERFORMANCE IN COMMERCIAL FISHING WORKERS

The purpose of this review is to show de results of the literature search about occupational performance of commercial fishing workers. The aim is to approach on concepts related to occupational performance of people who devote their productive activity to commercial fishing. This literature review focuses on Galician people, a community situated in the northwest of Spain, which
Design of a low power 10 bit 300 ksps multi-channel SAR ADC for wireless sensor network applications

This paper presents a low power 10 bit 300 ksps successive approximation register analog-to-digital converter (SAR ADC) which is applied in wireless sensor network (WSN) applications. A single ended energy-saving split capacitor DAC array and a latch comparator with a rail to rail input stage are utilized to implement the ADC, which can reduce power dissipation while expanding the full scale input range and improve the signal-to-noise ratio (SNR). For power optimization the supply voltage of the SAR ADC is designed to be as low as 2 V. Four analog input channels are designed which make the ADC more suitable for WSN applications. The prototype circuit is fabricated using 3.3 V, 0.35 μm 2P4M CMOS technology and occupies an active chip area of 1.23 mm2. The test results show that the power dissipation is only 200 μW at a 2 V power supply and a sampling rate of 166 ksps. The calculated SNR is 58.25 dB, the ENOB is 9.38 bit and the FOM is 4.95 pJ/conversion-step.
Reducing Inconsistency in Performance Analysis for Container Terminals

The complexity of managing the port container terminals brings up many challenges in evaluating the global performance, so managers use the Multiple-criteria decision-making (MCDM) to assess the global performance but most of the methods are based in the experts jugements. In the case where we have a false judgment by experts, the final results will be wrong. This paper aims to develop the performance measurement system in port container terminals in order to assist decision-maker to evaluate the port container terminal. Furthermore, the paper proposes a novel framework which aims to detect and modify jugement in order to reduce inconsistancies. By reducing inconsitency, the performance results and analysis will be more stable and robust. The proposed framework combines two methods, the multiple criteria analysis using MACBETH method (Measuring Attractiveness by a Categorical Based Evaluation Technique) and DELPHI method. In order to give more legitimacy, the model is tested in four ports.
Human capital and Tourism competitiveness in the world

Abstract Tourism relies strongly on human capital. To explore this relationship, the present study examines the relationship between, on the one hand, human capital (HC) , and the other hand The Travel and Tourism competitiveness in the world. We use data from The Human Capital Report 2015 and The Travel and Tourism Competitiveness Report 2015 of the world economic forum by using ordinary least square method (OLS). The analysis shows that the human capital index (HCI) is positively correlated with Travel and Tourism competitiveness index (TTCI). Keywords: Human capital; tourism competitiveness; ordinary least square method
Activation of Silent Information Regulator 6 Signaling Attenuates Myocardial Fibrosis by Reducing TGFβ1-Smad2/3 Signaling in a Type 2 Diabetic Animal Model

Abstract Objective: Long-term diabetes can result in ventricular hypertrophic remodeling, tissue fibrosis, myocardial metabolic defection, and eventually, heart failure. Silent information regulator 6 (SIRT6) exerts beneficial effects against cardiovascular diseases. This study is aimed to investigate whether the direct regulation of myocardial SIRT6 signaling affects cardiac performance in the case of diabetes. Meanwhile, we sought to explore the underlying mechanisms. Methods: Sprague Dawley (SD) rats were used in this experiment. Briefly, type 2 diabetic animal model was generated by streptozotocin administration along with feeding a high-fat diet. The SD rats were randomly assigned to non-diabetic group, diabetic group, diabetic injected with empty adenoviral vectors group and diabetic injected with adenoviral vectors expressing SIRT6 group (n = 10, respectively). The animals were kept for another 4 weeks before sacrifice. Cardiac performance was evaluated by echocardiography. Myocardial fibrosis was determined by Masson's trichrome staining. Myocardial SIRT6 signaling and fibrosis related molecules were measured by western blotting. Results: The diabetic myocardium exhibited markedly enhanced TGFβ1-Smad2/3-induced myocardial fibrosis and reduced SIRT6 and AMP-activated protein kinase (AMPK) signaling. After 4 weeks of SIRT6 adenoviral vector infection, myocardial tissues exhibited markedly enhanced SIRT6 and AMPK signaling. Additionally, myocardial fibrosis and TGFβ1-Smad2/3 signaling were both attenuated in the diabetic injected with adenoviral vectors expressing SIRT6 group. Conclusions: SIRT6-AMPK signaling suppressed the progression of tissue fibrosis in diabetes mellitus rats by inhibiting TGFβ1 and its downstream effector Smad2/3. SIRT6 might serve as an alternative therapeutic target for diabetes-related cardiovascular diseases.
Automatische Detektion von Fehlern in Meßreihen von PKW-Testfahrten

In diesem Aufsatz werden zwei Ansätze zur automatischen Detektion von Fehlern bzw. verdächtigen Abschnitten in Meßreihen von PKW-Testfahrten vorgestellt, nämlich die Verwendung von Vektorquantisierung kombiniert mit Hidden-Markov-Modellen und von (künstlichen) neuronalen Netzen. Die Ergebnisse werden vergleichend gegenübergestellt. Es wird darauf hingewiesen, daß die verwendeten Ansätze auch eine symbolische Beschreibung der Fahrstrecke und der Fahrzustände liefern können.
Agile project management for root cause analysis projects

Root Cause Analysis (RCA) projects face the issue of frequently changing requirements. When a high degree of uncertainty exists in such a project, traditional project management or the linear DMAIC (Define, Measure, Analyze, Improve, Control) may not provide the agility to respond the constant flux of new information. As a Design for X (DFX) initiative, authors applied Agile Project Management, specifically Scrum Methodology, to two RCA projects. The first RCA project used the formal Scrum methodology and the second project used a hybrid approach of Scrum and Lean Product Development. This paper presents observations and learning from this endeavor. The lesson is that Agile may be a good foundation for RCA projects but project managers need to customize the framework based on the nature of their project and teams.
The Tradeoffs and Side-Effects of Migrating from Wireless Computer to PDA-Based Support for Medication Administration

This research involved evaluating a PDA application developed to provide a more mobile version of an existing Veterans Administration software program called BCMA (Bar Code Medication Administration). The original application was designed to be operable from a wireless desktop or laptop computer situated on a cart and connected with a bar code scanner to scan patient wristbands and medication labels. The primary goals of this system are to verify the medications about to be given to a particular patient are those ordered and to document the process. The PDA version is intended to meet the same goals utilizing a scanner built into the PDA itself, but also offer the benefits of a small, light-weight, mobile system. The evaluation involved usability inspection, usability testing, and structured interviews. The results describe (1) how the operating system's virtual keyboard display interacted with critical data in the application; (2) how the application software developers dealt with the challenge of a small screen size and the implications of those decisions; and (3) how users adapted their workflow attempting to maximize the benefits of greater mobility, while compensating for a loss in visibility.
Autonomous navigation algorithms based on improved CKF filters

Considering the great effects the measurement system errors of sensors have on satellite autonomous navigation, we study the filter algorithm for the navigation system with constant system error in this paper to improve the navigation precision. this paper improves conventional CKF algorithm and proposes an adaptive CKF filters based on model compensation, the state and bias estimation is performed separately using the CKF filters, and then the state variables are updated using the estimated bias. Finally, we verify the feasibility of the improved algorithm by simulation experiment, the simulation results show that the algorithm can improve the navigation accuracy.
A synthesis of case studies from Narragansett Bay (RI/MA, USA) emphasizing implementation of the US Clean Water Act using adaptive management

Over the last 40 years, Narragansett Bay has experienced significant water quality improvements in response to reductions in nitrogen, heavy metal and organic contaminants, and bacterial pathogen discharge. The sources of these pollutants stem from the long history of population growth and a manufacturing-based economy. These reductions were documented by decades of persistent research and are the product of implementing the Clean Water Act by cooperation among all levels of government, utilities commissions, industry, nonprofits, universities, and advocacy groups. Wastewater treatment facilities remain a significant nitrogen source to the bay and continuing evaluation will determine if further reductions are needed. Metals/organic contaminants in sediment remain at or below thresholds for negative biological impacts. In response to pathogen reductions, over 3,000 acres have been reclassified as approved for shellfish growing between 2010 and 2017. The watershed still faces significant challenges in addressing stormwater runoff of both nitrogen and pathogens, and legacy methylmercury contamination in fish. Changes in population and land use and climate change will need to be addressed as well. The highlighted case studies showcase the abilities of public and private entities to collaboratively identify indicators, define problems, track changes, and respond to watershed-scale problems through ongoing adaptive management. Widely sharing successes and lessons learned in Narragansett Bay – from processes to research to management actions – can inform other estuarine collaborative management efforts to address complex and challenging environmental issues.This report has been peer-reviewed by 24 individuals from NBEP staff, EPA, NBEP's Science Advisory Committee, NBEP partners, and 6 anonymous reviewers from 2 academic journals.The views expressed in this report are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency or the New England Interstate Water Pollution Control Commission. Any mention of trade names, products, or services does not imply an endorsement by the U.S. Government, the U.S. Environmental Protection Agency, or the New England Interstate Water Pollution Control Commission. The EPA and NEIWPCC do not endorse any commercial products, services, or enterprises.
Estudio de los efectos de las lesiones del labrum acetabular en la cadera en un modelo experimental lagomorfo adulto Study of the effects of the hip acetabular labrum damage in a rabbit animal model

Objective: The labrum is a cartilaginous structure that covers the hip acetabulum. The labral lesions are controverted because it is not known if the labral tears are a cause or a consequence of the hip osteoarthrosis. Material and methods: We designed a rabbit animal model to study the labral tears. We used three groups of 13 animals. We injured the labral cartilage of every rabbit in the right hip, and we used the left hip as a control. The animals were kept alive for 12, 18 and 30 weeks. We realized a radiologic, a magnetic resonance and a histological study in every rabbit to see the labral tears consequences. Results: We did not found in our model any significant relationship between the labral tears and the secondary osteoarthrosis in the studied time. We didn't found labral damage without heal when the animals were sacrificed. Conclusion: We can conclude, in the rabbit animal model, the labral tears don't produce degenerative changes in the hip. The labrum have regenerative capacity in the rabbit animal model.
Diferenciación, especialización y exclusividad Differentiation, expertise and exclusivity

Is it possible to try to be different for a whole sector, as M.E. Porter holds, or does the condition of diffe- rentiation entail that the difference can only be for a part, that is to say, for a segment? For us the answer is obvious: it is only possible to be different for a part.If we are different from all,from whom would we be different? One might be unique, but not different.The article deals with the condition of «segmentability» of the sectors, their differentia- tion and their exclusivity.We introduce a new space model, complementary of Edward Hastings Chamberlin's the- ory of the monopolistic competition, which illustrates the ideas that are hold in the matter.
Specifics of projects in the area of Enterprise architecture development

Enterprise Architecture (EA) is a discipline for business and IT system management, describing the fundamental artifacts of business and IT. Introducing EA activities in a company is done via special projects (referred to as EAM projects). While much research focuses on EA as is, EAM projects are not yet considered properly. This paper deals with EAM projects as a special kind of IT project. The definition of an EAM project is suggested using the IT solution concept of the Microsoft Solution Framework. This is justified, since the EAM-software introduced in a company is the main result of a typical EAM project. Based on the definition of a work product in CMMI, this paper introduces the final delivery of an EAM project. In addition, domain specific modeling is used to describe EAM project delivery, since the most important part of EA is concepts and terms for describing business and IT in a company. To implement the language formed by these terms and concepts, an EAM tool is selected and customized (Mega, IBM System Architects, Aris, etc.), and additional software (i.e. Web-portal, integration scripts, etc.) is implemented. All of the EA principles and methods could be considered as guidelines for this software (EAM tool and additional software). Final delivery of an EAM project is divided into the following parts: method (domain specific language, EA method, EA process, integration, modeling results), technology (EAM tool, additional software, documentation), support and training. Using the concepts introduced in this paper, four EAM projects are analyzed. Lack of support of the EA method is identified as a common problem of these projects.
Capacidade anaeróbia em futebolistas de diferentes níveis competitivos: Comparação entre diferentes posições de jogo Anaerobic capacity in soccer players from different competitive levels: Comparison of players in different field positions

The aim of this study was to compare anaerobic capacity in professional soccer players of different competitive levels in their respective positions in the game, early in the preseason. The study group consisted of 44 male athletes belonging to two groups (A and B) of different competitive levels. Group A was composed of 20 athletes participating in the Sagres League - Portuguese. Group B was composed of 24 athletes participating in the 2nd division Championship Gaucho - Brazil. For the assessment of anaerobic capacity it was applied the Running-based Anaerobic Sprint Test - RAST. For data analysis it was used the Student t test for independent samples and analysis of variance (ANOVA One Way) supplemented with post hoc Tukey. Results showed that group A athletes performed better on the average power and worst values for the fatigue index. In the group A it was found statistical difference between attacks and other two positions (midfielder and side back) for the fatigue index. It is concluded that there was significant differences in anaerobic capacity, measured at the start of the preseason, evaluated soccer players who work in competitions of different levels and positions play (group A).
Implementation of tunable microwave planar circuits based on liquid crystal

The study presented in this paper deals with the implementation of liquid crystal-based (LC) tuneable microwave devices in order to underline the tunable capabilities assigned to LC. Experimental results obtained with LC-based phase-shifters are reported and highlight technological limitations that led us to propose a new approach. To validate the improvements made in the technological process, firstand second-order Dual Behaviour Resonator (DBR) filters at 5 GHz were achieved and measured. Index Terms – Liquid Crystal, Filling Method, Dual Behaviour Resonator (DBR), Bandpass Filter
PDE-Aware Deep Learning for Inverse Problems in Cardiac Electrophysiology

In this work, we present a PDE-aware deep learning (DL) model, named Space-Time Reduced Basis Deep Neural Network (ST-RB-DNN), for the numerical solution to the Inverse Problem of Electrocardiography. The main feature of the proposed neural network (NN) is that it both leverages data availability and exploits the knowledge of a physically-based mathematical model, expressed by means of partial differential equations (PDEs), to carry out the task at hand. The goal is to estimate the epicardial potential field from measurements of the electric potential at a discrete set of points on the body surface. Such a problem has become central in biomedical research, providing the theoretical basis for Electrocardiographic Imaging (ECGI), but it is extremely hard to solve because of its ill-posedness. The employment of deep learning techniques in this context is made difficult by the low amount of clinical data at disposal ( small data regime ), as measuring cardiac potentials requires invasive procedures. Suitably exploiting the underlying physically-based mathematical model allowed to circumvent the data availability issue and led to the development of fast-training and low-complexity PDE-aware DL models. In particular, physical-awareness has been pursued by means of two elements: the projection of the epicardial potential onto a Space-Time Reduced subspace, spanned by the numerical solutions of the governing PDEs, and the inclusion of a tensorial Reduced Basis (RB) solver of the Forward Problem in the network architecture. Numerical tests have been conducted only on synthetic data, obtained via a Full Order Model (FOM) approximation of the problem at hand, and two variants of the model have been addressed. Both proved to be accurate, up to an average (cid:96) 1 -norm relative error on epicardial activation maps of ≈ 3 . 5%, and both could be trained in ≈ 10 min . Nevertheless, some improvements, mostly concerning data generation, are necessary in order to bridge the gap with clinical applications.
Area-efficient nonvolatile carry chain based on pass-transistor/atom-switch hybrid logic

For the first time, an area-efficient nonvolatile carry chain combining look-up tables and a pass-transistor-logic-based adder is newly developed using complementary atom switches without additional CMOS circuits. A proposed tristate switch composed of three pairs of complementary atom switches selects one of “0”, “1”, and the “carry_in” signal as the input of a common multiplexer for both a look-up table and an adder. The developed nonvolatile carry chain achieves the reductions of 20% area, 17% delay, and 17% power consumption, respectively, in comparison with a conventional nonvolatile carry chain using dedicated CMOS gates.