Miracle-dz/UniFAR-FTUs huggingface dataset:
Is fatigue after work a barrier for leisure-time physical activity? Cross-sectional study among 10,000 adults from the general working population

Aim: In spite of the many health-related benefits of regular physical activity, fatiguing work may be a barrier to performing leisure-time physical activity. This study investigates the association between work-related fatigue and the duration of low- and high-intensity leisure-time physical activity in workers with sedentary and physically demanding jobs. Methods: From the 2010 round of the Danish Work Environment Cohort Study, currently employed wage earners from the general working population (N=10,427) replied to questions about work-related fatigue (predictor) and duration of low- and high-intensity leisure-time physical activity (outcome). Associations were modelled using general linear models controlling for various confounders. Results: Among workers with physically demanding jobs, higher levels of work-related fatigue were associated with gradually lower levels of leisure-time physical activity – for low, moderate and high levels of work-related fatigue the duration of high-intensity leisure-time physical activity was 133 (95% confidence interval (CI) 127–178), 134 (95% CI 109–160) and 113 (95% CI 86–140) min per week, respectively (trend test p<0.001). The duration of high-intensity leisure-time physical activity was lower among older workers (≥50 years) compared to younger workers (<50 years) (132 ± 126 vs 168 ± 150 min per week) (p<0.0001). Conclusions: The duration of high-intensity leisure-time physical activity gradually decreases with increased work-related fatigue in workers with physically demanding jobs. Older workers perform less high-intensity physical activity than younger workers. Workplaces should consider initiatives to allow workers with physically demanding jobs and older workers to perform physical exercise during working hours and thereby increase physical capacity to meet the job demands.
Chinese-Portuguese Machine Translation: A Study on Building Parallel Corpora from Comparable Texts

Although there are increasing and significant ties between China and Portuguese-speaking countries, there is not much parallel corpora in the Chinese-Portuguese language pair. Both languages are very populous, with 1.2 billion native Chinese speakers and 279 million native Portuguese speakers, the language pair, however, could be considered as low-resource in terms of available parallel corpora. In this paper, we describe our methods to curate Chinese-Portuguese parallel corpora and evaluate their quality. We extracted bilingual data from Macao government websites and proposed a hierarchical strategy to build a large parallel corpus. Experiments are conducted on existing and our corpora using both Phrased-Based Machine Translation (PBMT) and the state-of-the-art Neural Machine Translation (NMT) models. The results of this work can be used as a benchmark for future Chinese-Portuguese MT systems. The approach we used in this paper also shows a good example on how to boost performance of MT systems for low-resource language pairs.
An analysis of the relationship between conditional entropy and failed error propagation in software testing

Failed error propagation (FEP) is known to hamper software testing, yet it remains poorly understood. We introduce an information theoretic formulation of FEP that is based on measures of conditional entropy. This formulation considers the situation in which we are interested in the potential for an incorrect program state at statement s to fail to propagate to incorrect output. We define five metrics that differ in two ways: whether we only consider parts of the program that can be reached after executing s and whether we restrict attention to a single program path of interest . We give the results of experiments in which it was found that on average one in 10 tests suffered from FEP, earlier studies having shown that this figure can vary significantly between programs. The experiments also showed that our metrics are well-correlated with FEP. Our empirical study involved 30 programs, for which we executed a total of 7,140,000 test cases. The results reveal that the metrics differ in their performance but the Spearman rank correlation with failed error propagation is close to 0.95 for two of the metrics. These strong correlations in an experimental setting, in which all information about both FEP and conditional entropy is known, open up the possibility in the longer term of devising inexpensive information theory based metrics that allow us to minimise the effect of FEP.
Density Adaptive Point Set Registration

Probabilistic methods for point set registration have demonstrated competitive results in recent years. These techniques estimate a probability distribution model of the point clouds. While such a representation has shown promise, it is highly sensitive to variations in the density of 3D points. This fundamental problem is primarily caused by changes in the sensor location across point sets. We revisit the foundations of the probabilistic registration paradigm. Contrary to previous works, we model the underlying structure of the scene as a latent probability distribution, and thereby induce invariance to point set density changes. Both the probabilistic model of the scene and the registration parameters are inferred by minimizing the Kullback-Leibler divergence in an Expectation Maximization based framework. Our density-adaptive registration successfully handles severe density variations commonly encountered in terrestrial Lidar applications. We perform extensive experiments on several challenging real-world Lidar datasets. The results demonstrate that our approach outperforms state-of-the-art probabilistic methods for multi-view registration, without the need of re-sampling.
High-Order Sparse Shape Imaging of PEC and Dielectric Targets Using TE Polarized Fields

In this paper, we present a novel method for microwave imaging using sensors with transverse electric (TE) polarization. The method is applicable to metallic and dielectric objects and exploits the sparseness of the sought solution, by imposing a measurement model based on multipole sources. In order to verify the achievable performance, the method has been numerically tested against different scenarios, including targets with complex concave cross sections as well as multiple objects. The investigation has shown that, opposite to the transverse magnetic (TM) polarization, the standard (zero order) sparse processing yields no or very little information about the targets. In contrast, using higher order multipole sources to build the sparse imaging dictionaries allows retrieving complicated target shapes, even in presence of noise. In addition, we have compared the reconstruction results obtained using the TE and TM polarization.
A Prototype Tool for Use Case Refactoring

: Use cases are widely used in software engineering. It is important to improve the understandability and maintainability of use case models. We propose the approach of refactoring use case models. This paper describes a prototype tool for the refactoring process. We introduce the use case metamodel and its XML document type deﬁnition (DTD) used in the tool. Based on the Drawlets framework, we implement the functionality for drawing and viewing use case models. We propose the refactoring framework and implement some use case refactorings. Our experience shows that the tool greatly facilitates the process to reorganize use case models.
Selenium and prostate cancer: systematic review and meta-analysis.

BACKGROUND Prostate cancer is a growing public health problem. Several human studies have shown a potentially protective effect of selenium, but the conclusions from published reports are inconsistent. OBJECTIVE The objective was to examine the evidence for relations between selenium intake, selenium status, and prostate cancer risk. DESIGN This was a systematic review and meta-analysis of randomized controlled trials, case-control studies, and prospective cohort studies. The World Cancer Research Fund/American Institute for Cancer Research Continuous Update Project database was searched up to September 2010. The studies included reported measurements of selenium intake or status (plasma, serum, or toenail selenium), assessments of prostate cancer cases (number of events), and the RR in the adult population. Meta-analyses were performed, and study quality, heterogeneity, and small study effects were assessed. Dose-response meta-analyses were used, with restricted cubic splines and fractional polynomials for nonlinear trends, to investigate the association between selenium status and prostate cancer risk. RESULTS Twelve studies with a total of 13,254 participants and 5007 cases of prostate cancer were included. The relation between plasma/serum selenium and prostate cancer in a nonlinear dose-response meta-analysis showed that the risk decreased with increasing plasma/serum selenium up to 170 ng/mL. Three high-quality studies included in the meta-analysis of toenail selenium and cancer risk indicated a reduction in prostate cancer risk (estimated RR: 0.29; 95% CI: 0.14, 0.61) with a toenail selenium concentration between 0.85 and 0.94 μg/g. CONCLUSION The relation between selenium status and decreased prostate cancer risk was examined over a relatively narrow range of selenium status; further studies in low-selenium populations are required.
Economic Prosperity Recaptured: The Finnish Path from Crisis to Rapid Growth

Many countries have experienced major economic changes since the mid-1980s as a result of the deregulation and liberalization of national financial systems—two key aspects of globalization—with some experiencing boom and bust in rapid succession. The small Northern European country of Finland has been hailed as a success story for achieving renewed economic growth and prosperity after a financial crisis and deep depression in the early 1990s. Economic Prosperity Recaptured offers a detailed analysis of the rapid swings in Finland's recent economic development, from initial overheating in the late 1980s through deep crisis in the early 1990s to recovery and growth since the mid-1990s. Finland's complex road to recovery offers excellent examples of both unsuccessful and successful policy responses to changing circumstances. The authors examine the three relatively distinct periods of Finland's recent experience, analyzing the adequacy of the macroeconomic policy response in each case. They assess the real economic effects of financial constraints and look for evidence of the "credit channel" of the monetary system. Finland's rapid economic growth since the mid-1990s is largely the result of its structural transformation into a high-tech economy; Nokia is the most famous example of this information and communication technology success. Elaborating on Finland's ICT revolution, the authors demonstrate that well-designed economic policies contributed to Finland's economic turnaround. CESifo Book series
How does schools’ efficiency look like across Europe? An empirical analysis of Germany, Spain, France, Italy and UK using OECD PISA2012 data

This research conducts a comparison of secondary schools’ efficiency in an international perspective, focusing on five economies in the European Union (UK, Germany, France, Italy and Spain) and employing an institutionlevel dataset built through data from the 2012 edition of the OECD’s Programme for International Student Assessment (PISA). Overall, around 2,700 schools from these five countries are included in the empirical analysis; it uses a bootstrap version of Data Envelopment Analysis (DEA), and a common (international) frontier of efficient schools is assumed. The production process is modelled in a very simple way, by including human and capital resources, together with students’ socioeconomic background, among inputs; and average scores in reading and mathematics, as outputs. Although within-country dispersion of efficiency scores is much wider than between-countries differences, some between-countries efficiency differentials can be observed. A second-stage tobit regression reveals that some factors are statistically associated with schools’ efficiency, as for example the indexes for the quality of educational resources and teachers’ morale. Conversely, the efficiency scores are inversely correlated with the proportion of students who perform below proficiency level 2, suggesting that there is not a trade-off between efficiency and equity. All these evidences can stimulate interesting reflections for national and European-based policy-makers.
Lexical resources for Accessing to Public Sector Information

In many countries, public institutions, as the main producers and distributors of legal source of information, have promoted projects aimed at improving the availability and the free access to information via the web as a significant component of the process of transparency in citizen/institution interaction. This paper describes the state of the art in terms of European projects created by public institutions for facilitating access to regulatory information and it focuses the necessity of integrating structural documentary standards with semantic ones for the description of content. The Italian JurWordNet project is a source of semantic metadata aimed at supporting the semantic interoperability between sectors of Public Administration; the creation of a multilingual lexicon that extends the Italian model to five European languages (the aim of the Lois Project that has recently been approved by the EU) is also described.
Optimal pain management for patients with cancer in the modern era

Pain is a common symptom among patients with cancer. Adequate pain assessment and management are critical to improve the quality of life and health outcomes in this population. In this review, the authors provide a framework for safely and effectively managing cancer‐related pain by summarizing the evidence for the importance of controlling pain, the barriers to adequate pain management, strategies to assess and manage cancer‐related pain, how to manage pain in patients at risk of substance use disorder, and considerations when managing pain in a survivorship population. CA Cancer J Clin 2018;68:182–196. © 2018 American Cancer Society.
Preparedness of Health Care Professionals for Delivering Sexual and Reproductive Health Care to Refugee and Migrant Women: A Mixed Methods Study

Past research suggests that factors related to health care professionals’ (HCPs) knowledge, training and competency can contribute to the underutilisation of sexual and reproductive health (SRH) care by refugee and migrant women. The aim of this study was to examine the perceived preparedness of HCPs in relation to their knowledge, confidence and training needs when it comes to consulting refugee and migrant women seeking SRH care in Australia. A sequential mixed methods design, comprising an online survey with 79 HCPs (45.6% nurses, 30.3% general practitioners (GPs), 16.5% health promotion officers, and 7.6% allied health professionals) and semi-structured interviews with 21 HCPs, was utilised. HCPs recognised refugee and migrant women’s SRH as a complex issue that requires unique skills for the delivery of optimal care. However, they reported a lack of training (59.4% of nurses, 50% of GPs, and 38.6% of health promotion officers) and knowledge (27.8% of nurses, 20.8% of GPs, and 30.8% of health promotion officers) in addressing refugee and migrant women’s SRH. The majority of participants (88.9% of nurses, 75% of GPs, and 76% of health promotion officers) demonstrated willingness to engage with further training in refugee and migrant women’s SRH. The implications of the findings are argued regarding the need to train HCPs in culturally sensitive care and include the SRH of refugee and migrant women in university and professional development curricula in meeting the needs of this growing and vulnerable group of women.
The Use of Ultrasound Imaging in the External Beam Radiotherapy Workflow of Prostate Cancer Patients

External beam radiotherapy (EBRT) is one of the curative treatment options for prostate cancer patients. The aim of this treatment option is to irradiate tumor tissue, while sparing normal tissue as much as possible. Frequent imaging during the course of the treatment (image guided radiotherapy) allows for determination of the location and shape of the prostate (target) and of the organs at risk. This information is used to increase accuracy in radiation dose delivery resulting in better tumor control and lower toxicity. Ultrasound imaging is harmless for the patient, it is cost-effective, and it allows for real-time volumetric organ tracking. For these reasons, it is an ideal technique for image guidance during EBRT workflows. Review papers have been published in which the use of ultrasound imaging in EBRT workflows for different cancer sites (prostate, breast, etc.) was extensively covered. This new review paper aims at providing the readers with an update on the current status for prostate cancer ultrasound guided EBRT treatments.
Performance Assessment of IEEE 802.11p with an Open Source SDR-Based Prototype

We present a complete simulation and experimentation framework for IEEE 802.11p. The core of the framework is a Software Defined Radio (SDR)-based Orthogonal Frequency Division Multiplexing (OFDM) transceiver that we validated extensively by means of simulations, interoperability tests, and, ultimately, by conducting a field test. Being SDR-based, the transceiver offers important benefits: It provides access to all data down to and including the physical layer, allowing for a better understanding of the system. Based on open and programmable hardware and software, the transceiver is completely transparent and all implementation details can be studied and, if needed, modified. Finally, it enables a seamless switch between simulations and experiments and, thus, helps to bridge the gap between theory and practice. Comparing the transceiver’s performance with independent results from simulations and experiments, we underline its potential to be used as a tool for further studies of IEEE 802.11p networks both in field operational tests as well as for simulation-based development of novel physical layer solutions. To make the framework accessible to fellow researchers and to allow reproduction of the results, we released it under an Open Source license.
Swimming Back and Forth Using Planar Flagellar Propulsion at Low Reynolds Numbers

Peritrichously flagellated Escherichia coli swim back and forth by wrapping their flagella together in a helical bundle. However, other monotrichous bacteria cannot swim back and forth with a single flagellum and planar wave propagation. Quantifying this observation, a magnetically driven soft two‐tailed microrobot capable of reversing its swimming direction without making a U‐turn trajectory or actively modifying the direction of wave propagation is designed and developed. The microrobot contains magnetic microparticles within the polymer matrix of its head and consists of two collinear, unequal, and opposite ultrathin tails. It is driven and steered using a uniform magnetic field along the direction of motion with a sinusoidally varying orthogonal component. Distinct reversal frequencies that enable selective and independent excitation of the first or the second tail of the microrobot based on their tail length ratio are found. While the first tail provides a propulsive force below one of the reversal frequencies, the second is almost passive, and the net propulsive force achieves flagellated motion along one direction. On the other hand, the second tail achieves flagellated propulsion along the opposite direction above the reversal frequency.
ProFess: A Probabilistic Hybrid Main Memory Management Framework for High Performance and Fairness

Non-Volatile Memory (NVM) technologies enable cost-effective hybrid main memories with two partitions: M1 (DRAM) and slower but larger M2 (NVM). This paper considers a flat migrating organization of hybrid memories. A challenging and open issue of managing such memories is to allocate M1 among co-running programs such that high fairness is achieved at the same time as high performance. This paper introduces ProFess: a Probabilistic hybrid main memory management Framework for high performance and fairness. It comprises: i) a Relative-Slowdown Monitor (RSM) that enables fair management by indicating which program suffers the most from competition for M1; and ii) a probabilistic Migration-Decision Mechanism (MDM) that unlocks high performance by realizing cost-benefit analysis that is individual for each pair of data blocks considered for migration. Within ProFess, RSM guides MDM towards high fairness. We show that for the multiprogrammed workloads evaluated, ProFess improves fairness by 15% (avg.; up to 29%), compared to the state-of-the-art, while outperforming it by 12% (avg.; up to 29%).
Parallel Implementations of Hopfield Neural Networks On GPU

In recent years, the multi-cores and General-Purpose GPU (GPGPU) architectures have become general platforms for various of parallel applications, with lots of parallel algorithms being proposed for this interesting persperctive. In this report, we study and develop a particular kind of artificial neural network (ANN), in hopfield model, to solve some optimization problems, since it has a highly parallel nature. Section 1 introduces the context of the problem and the linked topics of this internship. In Section 2, we synthesize some previous work in this domain. In section 3, we study the parallel mechanism and propose the algorithm to realize this neural network. Section 4 interprets the method we use to map the neural network structure. Section 5 discusses the implementation details of simulations of hopfield networks on GPU. In section 6, we comment on the results and the performances compared with the CPU implementation.
The Role of Bolus Injection of Saline with Arm Elevation on Rocuronium onset Time: A Randomized Control Study

Background: The onset time of neuromuscular blockade is a crucial time associated with the risk of hypoxia and pulmonary aspiration. Various strategies have been undertaken to shorten this onset time. Therefore, we investigated the effects of bolus of 20 ml saline followed by limb elevation after administration of rocuronium in a dose of 0.6 mg/kg to study the onset time. Methodology: Thirty patients were randomly allocated to the bolus saline group or control group. General anesthesia was induced and maintained with fentanyl and propofol. Rocuronium 0.6 mg/kg intravenous (IV) was administered followed by 20 ml saline bolus and limb elevation in the study group compared to administration of 0.6 mg/kg in a running drip only in the control. Onset of neuromuscular block was assessed by acceleromyography at the adductor pollicis muscle with train-of-four stimulation. Results: The lag time was shorter in bolus group (34 s median) than in control group (45 s median), P < 0.017. The onset time was shorter in bolus group (55 s median) than in control group (110 s median), P < 0.001. The T1 recovery to 25% was longer in bolus group (42 min median) than in control group (39 min median) which was statistically not significant. Conclusion: Rocuronium 0.6 mg/kg IV followed by bolus 20 ml saline and concomitant limb elevation resulted in shorter lag time, faster onset of neuromuscular blockade, good intubating conditions without prolonging clinical duration of action when compared to the control.