Miracle-dz/UniFAR-FTUs huggingface dataset:
International Conference on Flexible Automation and Intelligent Manufacturing , FAIM 2017 , 27-30 June 2017 , Modena , Italy Conceptual Design and Control Strategy of a Robotic Cell for Precision Assembly in Radar Antenna Systems

Dip-Brazing is a metal-joining process in which two or more metal items are joined together using a low-temperature melting element as filler. In telecommunication field, this process is used to fabricate radar antenna systems. The process begins with the assembly of the parts constituting the antenna and the thin filler sheet used to join the parts. The mechanical deformations of the micro-pins of the parts allow to obtain a more compact mechanical assembly, before than the antenna system is subjected to an immersion cycle used for adjoining the parts. In this work, we present the design of the robotic cell to automate the assembly procedure in the aluminum dip-brazing of antenna in MBDA missile systems. In particular, we propose a robotic cell using two stations: i) assembly, using a SCARA manipulator; ii) riveting, using a three-axis cartesian robot designed for positioning a radial riveting unit. Motion control of the robots and scheduling of the operations is presented. Experiments simulated in a virtual environment show an almost perfect tracking of the designed trajectories. The standardization of the procedure as well as the reduction of its execution time is thus achieved for the industrial scenario. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 27th International Conference on Flexible Automation and Intelligent Manufacturing.
Static Magnetic Fields Modulate the Response of Different Oxidative Stress Markers in a Restraint Stress Model Animal

Stress is a state of vulnerable homeostasis that alters the physiological and behavioral responses. Stress induces oxidative damage in several organs including the brain, liver, kidney, stomach, and heart. Preliminary findings suggested that the magnetic stimulation could accelerate the healing processes and has been an effective complementary therapy in different pathologies. However, the mechanism of action of static magnetic fields (SMFs) is not well understood. In this study, we demonstrated the effects of static magnetic fields (0.8 mT) in a restraint stressed animal model, focusing on changes in different markers of oxidative damage. A significant increase in the plasma levels of nitric oxide (NO), malondialdehyde (MDA), and advanced oxidation protein products (AOPP), and a decrease in superoxide dismutase (SOD), glutathione (GSH), and glycation end products (AGEs) were observed in restraint stress model. Exposure to SMFs over 5 days (30, 60, and 240 min/day) caused a decrease in the NO, MDA, AGEs, and AOPP levels; in contrast, the SOD and GSH levels increased. The response to SMFs was time-dependent. Thus, we proposed that exposure to weak-intensity SMFs could offer a complementary therapy by attenuating oxidative stress. Our results provided a new perspective in health studies, particularly in the context of oxidative stress.
Minimally invasive palliative interventions in advanced lung cancer

ABSTRACT Introduction: Lung cancer is the leading cause of cancer-related deaths in the United States. Nearly 85% of all lung cancers are diagnosed at a late stage, with an associated five-year survival rate of 4%. Malignant central airway obstruction and malignant pleural effusions occur in upwards of 30% of these patients. Many of these patients are in need of palliative interventions for symptom control and to help improve their quality of life. Areas covered: This review covers the treatment modalities of malignant central airway obstruction and malignant pleural effusion. PubMed was used to search for the most up to date and clinically relevant articles that guide current treatment strategies. This review focuses on rigid bronchoscopy and the tools used for the relief of central airway obstruction, as well as intra-pleural catheter use and pleurodesis for the management of malignant pleural effusions. Expert commentary: There are multiple treatment modalities that may be used to help alleviate the symptoms of malignant central airway obstruction and pleural effusion. The modality used depends on the urgency of the situation, and specific patient’s goals. An open dialog to understand the patient’s end of life goals is an important factor when choosing the appropriate treatment strategy.
The Implementation and Feasibility of the Supporting Physical Activity in the Childcare Environment (SPACE) Intervention: A Process Evaluation

This study describes the process evaluation of the Supporting Physical Activity in the Childcare Environment (SPACE) intervention, consisting of educator physical activity training, provision of portable play equipment, and a modified outdoor schedule (i.e., 4 × 30-minute periods). Educators (N = 49) from 11 childcare centers in London, Ontario, Canada, delivered the 8-week intervention to 200 preschoolers (Mage = 3.38 years). Workshop attendance was documented while adherence to the outdoor schedule and number and timing of outdoor sessions offered (i.e., dose) were recorded in a daily log. Questionnaire-based program evaluation (n = 41) and in-person group interviews (n = 7) were completed postintervention to assess educator perspectives on the barriers and facilitators to implementation (i.e., context), the feasibility and perceived effectiveness of the intervention, educator and preschooler enjoyment, communication among researchers and childcare personnel, and the future implementation of the intervention. Descriptive statistics were calculated, and responses to open-ended questions were inductively coded. Educator workshop attendance was 96%, and 88% of classrooms adhered to the four daily outdoor periods. Educators delivered 90% of the scheduled outdoor sessions, and 87% of these met the 30-minute criteria. Educators expressed that the increase in number of transitions made the outdoor playtimes challenging to implement, yet rated the feasibility of the training and equipment as high. Educators perceived the intervention to be both enjoyable and effective at increasing preschoolers’ physical activity. They indicated effective communication and revealed that they intended to continue to use their physical activity knowledge and to offer the play equipment once the intervention had concluded. These findings demonstrate that the SPACE intervention is viable in center-based childcare.
High Intraspecific Genetic Diversity of Nocardia brasiliensis, a Pathogen Responsible for Cutaneous Nocardiosis Found in France: Phylogenetic Relationships by Using sod and hsp65 Genes

This study aims at genetic characterization and phylogenetic relationships of Nocardia brasiliensis focusing by using housekeeping rrs, hsp65, and sodA genes. N. brasiliensis is the species responsible for 80% of cases of actinomycetoma, one form of cutaneous nocardiosis which occurs mainly in tropical regions reaching immunocompetent patients in which the disease can lead to amputation. We analyze 36 indigenous cases of N. brasiliensis that happened in France. Phylogenetic analysis targeting rrs gene showed no robustness at phylogenetic nodes level. However, the use of a concatenation of hsp65 and sodA genes showed that the tested strains surprisingly ranked in 3 well-defined genotypes. Genotypes 2 and 3 were phylogenetically closer to each other and both diverged from genotype 1 sustained by a high bootstrap of 81%. This last genotype hosts all the cases of pulmonary forms (3), the sole cerebral form, and almost all the cases of immunocompromised patients (3 out of 4). Moreover, excepting one of them, all the strains belonging to this group present a susceptibility to imipenem which is not the case in the other genotypes that rarely count among them strains being susceptible to this drug. The haplotype diversity (Hd) of hsp65 (0.927) and sodA (0.885) genes was higher than that of rrs (0.824). For this gene, we obtained 16 polymorphic sites whereas, for hsp65 and sodA genes, up to 27 and 29 were identified, respectively. This study reveals that these two genes have an important genetic discriminatory power for the evaluation of the intraspecies genetic variability of N. brasiliensis and they may be useful for identification purposes at species level. This study also reveals the possible existence of a new species harbored by genotype 1.
NMR, Novel Pharmacological and In Silico Docking Studies of Oxyacanthine and Tetrandrine: Bisbenzylisoquinoline Alkaloids Isolated from Berberis glaucocarpa Roots

Urease enzyme is responsible for gastric cancer, peptic ulcer, hepatic coma, and urinary stones in millions of people across the world. So, there is a strong need to develop new and safe antiurease drugs, particularly from natural sources. In search for new and effective drugs from natural sources bioassay-guided fractionation and isolation of Berberis glaucocarpa Stapf roots bark resulted in the isolation and characterization, on the basis of 1D and 2D NMR data, of two bisbenzylisoquinoline alkaloids, oxyacanthine (1) and tetrandrine (2), followed by urease inhibition studies. Crude extract, all the subfractions and the isolated compounds 1 and 2 displayed excellent urease enzyme inhibition properties in vitro. The antiurease nature and possible mode of action for compounds 1 and 2 were verified and explained through their molecular docking studies against jack-bean urease enzyme. Half-maximum inhibitory concentration (IC50) was calculated for compounds 1 and 2. The IC50 value was found to be 6.35 and 5.51 µg/mL for compounds 1 and 2, respectively. Both compounds 1 and 2 have minimal cytotoxicity against THP-1 monocytic cells.
Copula‐Based Models of Systemic Risk in U.S. Agriculture: Implications for Crop Insurance and Reinsurance Contracts

The federal crop insurance program has been a major fixture of U.S. agricultural policy since the 1930s, and continues to grow in size and importance. Indeed, it now represents the most prominent farm policy instrument, accounting for more government spending than any other farm commodity program. The 2014 Farm Bill further expanded the crop insurance program and introduced a number of new county-level revenue insurance plans. In 2013, over $123 billion in crop value was insured under the program. Crop revenue insurance, first introduced in the 1990s, now accounts for nearly 70% of the total liability in the program. The available plans cover losses that result from a revenue shortfall that can be triggered by multiple, dependent sources of risk-either low prices, low yields, or a combination of both. The actuarial practices currently applied when rating these plans essentially involve the application of a Gaussian copula model to the pricing of dependent risks. We evaluate the suitability of this assumption by considering a number of alternative copula models. In particular, we use combinations of pair-wise copulas of conditional distributions to model multiple sources of risk. We find that this approach is generally preferred by model-fitting criteria in the applications considered here. We demonstrate that alternative approaches to modeling dependencies in a portfolio of risks may have significant implications for premium rates in crop insurance.
Anakinra for the treatment of rheumatoid arthritis: a safety evaluation

ABSTRACT Introduction: The anti-interleukin-1 receptor antagonist, anakinra, was approved for the treatment of rheumatoid arthritis (RA) more than 12 years ago. However, its adverse effects are not well known. Areas covered: We review the safety profile of anakinra, analyzing clinical trials, observational studies, and registry data. Expert opinion: Due to its lower efficacy compared with other biological therapies approved for RA and its daily subcutaneous administration, anakinra is used only marginally for the treatment of RA. This has limited the experience with this drug in RA, with a lack of data from long-term observational studies or registries. From the five clinical trials performed, and given the unfeasibility of developing new studies of anakinra in RA, it may be concluded that site injection reactions, infections at higher doses (>100 mg), and immunogenicity are the most frequent adverse events related to anakinra administration.
Generating Artificial Data for Private Deep Learning

In this paper, we propose generating artificial data that retain statistical properties of real data as the means of providing privacy with respect to the original dataset. We use generative adversarial network to draw privacy-preserving artificial data samples and derive an empirical method to assess the risk of information disclosure in a differential-privacy-like way. Our experiments show that we are able to generate artificial data of high quality and successfully train and validate machine learning models on this data while limiting potential privacy loss.
Winds of Change: Libraries and Cloud Computing

Cloud computing is a new technology model for IT services that many businesses and organizations are adopting. It allows them to avoid locally hosting multiple servers and equipment and constantly dealing with hardware failure, software installs, upgrades and compatibility issues. For many organizations, cloud computing can simplify processes and save time and money. This article defines cloud computing and shows how it is different from other types of computing. It also discusses how cloud computing solutions could be beneficial to libraries in three basic areas: technology, data and community. Cloud Computing ist eine neue Technologie für IT-Services, die mittlerweile von vielen Unternehmen und Organisationen für ihre Zwecke in Anspruch genommen wird. Ein Vorteil an Cloud Computing ist: Auf lokal gehostete Server und eine umfangreiche IT-Infrastruktur kann verzichtet werden. Damit entfallen auch mögliche Hardwarefehler, notwendige Software-Installationen oder Upgrades sowie Kompatibilitätsprobleme. Cloud Computing bedeutet für viele Unternehmen und Organisationen eine Vereinfachung der Arbeitsprozesse sowie eine Kosten- und Zeitersparnis. Dieser Artikel definiert Cloud Computing und zeigt die Unterschiede zu anderen IT-Technologien auf. Gleichfalls werden drei grundlegende Bereiche beleuchtet, in denen Cloud-Computing-Lösungen für Bibliotheken sehr vorteilhaft sein können: Technologie, Daten und Kooperation. L'informatique dématérialisée, ou en nuage, est un nouveau modèle de technologie pour les services de TI adoptée par plusieurs entreprises et organisations. Elle leur permet d'éviter l'hébergement local de serveurs et d'équipements multiples, et de devoir constamment composer avec des défaillances de systèmes, des installations de logiciels, des mises à jour et des problèmes de compatibilité. Pour plusieurs organisations, l'informatique dématérialisée peut simplifier les processus et leur permettre d'épargner temps et argent. Cet article explique l'informatique dématérialisée et démontre comment ce modèle de technologie est différent de tous les autres types d'informatique. Il explique également comment les solutions d'informatique dématérialisée pourraient être avantageuses pour les bibliothèques dans trois secteurs de base: les technologies, les données et la communauté.
Accuracy of two plasma antibody tests and faecal antigen test for non-invasive detection of H. pylori in middle-aged Caucasian general population sample

Abstract Objective: The aim of the study was to assess the accuracy of two plasma Helicobacter pylori (H. pylori) antibody test-systems and a stool antigen test (SAT) system in a general population sample in Latvia. Materials and methods: Blood and faecal samples were analysed in healthy individuals (40–64 years), referred for upper gastrointestinal endoscopy according to pilot study protocol within a population-based study investigating gastric cancer prevention strategies (GISTAR pilot study). Antibodies to H. pylori were assessed in plasma by latex-agglutination test and enzyme-linked immunosorbent assay (ELISA). H. pylori antigen in faecal samples was detected by a monoclonal enzyme immunoassay-based SAT. Histological assessment of H. pylori based on a modified Giemsa staining method was used as the gold standard. Individuals having received H. pylori eradication within one year prior to enrolment were excluded. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and overall accuracy were calculated. Receiver-operating characteristic curves were designed to estimate the optimal diagnostic cut-off value of tests. Results: The analysis included 779 participants for latex-agglutination test, 1002 for ELISA and 672 individual samples for SAT. The sensitivity, specificity, PPV, NPV and overall accuracy were as follows: latex-agglutination test (86;81;87;80;84%), ELISA (97;72;83;94;86%) and SAT (87;81;87;81;85%), respectively. The optimal diagnostic cut-off value for ELISA test was ≥50.26 g/L. Conclusions: Although the performance of the three tests was comparable to each other, the three test systems showed suboptimal accuracy, with important implications for public health programs based on ‘test-and-treat’ strategy.
Multilingual Neural Machine Translation with Task-Specific Attention

Multilingual machine translation addresses the task of translating between multiple source and target languages. We propose task-specific attention models, a simple but effective technique for improving the quality of sequence-to-sequence neural multilingual translation. Our approach seeks to retain as much of the parameter sharing generalization of NMT models as possible, while still allowing for language-specific specialization of the attention model to a particular language-pair or task. Our experiments on four languages of the Europarl corpus show that using a target-specific model of attention provides consistent gains in translation quality for all possible translation directions, compared to a model in which all parameters are shared. We observe improved translation quality even in the (extreme) low-resource zero-shot translation directions for which the model never saw explicitly paired parallel data.
Quantum stopwatch: how to store time in a quantum memory

Quantum mechanics imposes a fundamental trade-off between the accuracy of time measurements and the size of the systems used as clocks. When the measurements of different time intervals are combined, the errors due to the finite clock size accumulate, resulting in an overall inaccuracy that grows with the complexity of the set-up. Here, we introduce a method that, in principle, eludes the accumulation of errors by coherently transferring information from a quantum clock to a quantum memory of the smallest possible size. Our method could be used to measure the total duration of a sequence of events with enhanced accuracy, and to reduce the amount of quantum communication needed to stabilize clocks in a quantum network.
Model of an oscillatory neural network with multilevel neurons for pattern recognition

The current study uses a novel method of multilevel neurons and high order synchronization effects described by a family of special metrics, for pattern recognition in an oscillatory neural network (ONN). The output oscillator (neuron) of the network has multilevel variations in its synchronization value with the reference oscillator, and allows classification of an input pattern into a set of classes. The ONN model is implemented on thermally-coupled vanadium dioxide oscillators. The ONN is trained by the simulated annealing algorithm for selection of the network parameters. The results demonstrate that ONN is capable of classifying 512 visual patterns (as a cell array 3 × 3, distributed by symmetry into 102 classes) into a set of classes with a maximum number of elements up to fourteen. The classification capability of the network depends on the interior noise level and synchronization effectiveness parameter. The model allows for designing multilevel output cascades of neural networks with high net data throughput. The presented method can be applied in ONNs with various coupling mechanisms and oscillator topology.
Stability of SnSe1−xSx solid solutions revealed by first-principles cluster expansion

The configurational thermodynamics of a pseudo-binary alloy SnSe1−xSx in the Pnma phase is studied using first-principles cluster-expansion method in combination with canonical Monte Carlo simulations. We find that, despite the alloy having a tendency toward a phase decomposition into SnSe and SnS at 0 K, the two constituent binaries readily mix with each other to form random SnSe1−xSx solid solutions even at a temperature below room temperature. The obtained isostructural phase diagram of SnSe1−xSx reveals that the alloy is thermodynamically stable as a single-phase random solid solution over a whole composition range above 200 K. These findings provide a fundamental understanding on the alloying behavior of SnSe1−xSx and bring clarity to the debated clustering tendency in this alloy system.
Cancer: From Wild-Type to Mutant Huntingtin

Huntingtin (HTT) is a scaffold protein mostly known because it gives rise to the severe and incurable inherited neurological disorder Huntington’s disease (HD) when mutated. The Huntingtin gene (HTT) carries a polymorphic trinucleotide expansion of CAGs in exon 1 that ranges from 9 to 35 in the non-HD affected population. However, if it exceeds 35 CAG repeats, the altered protein is referred to as mutant HTT and leads to the development of HD. Given the wide spectrum of severe symptoms developed by HD individuals, wild-type and mutant HTT have been mostly studied in the context of this disorder. However, HTT expression is ubiquitous and several peripheral symptoms in HD have been described, suggesting that HTT is of importance, not only in the central nervous system (CNS), but also in peripheral organs. Accordingly, HTT and mutant HTT may interfere with non-brain-related diseases. Correlative studies have highlighted a decreased cancer incidence in the HD population and both wild-type and mutant HTT have been implicated in tumor progression. In this review, we describe the current evidence linking wild-type and mutant HTT to cancer and discuss how CAG polymorphism, HTT function, and partners may influence carcinogenesis and metastatic progression.
POLARIZATION-INVARIANT DIRECTIONAL CLOAK- ING BY TRANSFORMATION OPTICS

We propose a three-dimensional directional cloak for arbitrarily polarized incoming electromagnetic waves, motivated by the fact that there will be negligible scattering when the direction of impinging wave coincides with the axial direction of a very thin and elongated perfectly electric conducting (PEC) scatterer. The performance of the cloak under difierent polarizations of incoming waves are numerically investigated. The case in which the direction of incoming wave is perturbed ofi the ideal direction is also quantitatively studied. Numerical simulations show that the directional cloaking device is able to tolerate a large range of tilted angles of incoming waves.
On Adversarial Risk and Training

In this work we formally define the notions of adversarial perturbations, adversarial risk and adversarial training and analyze their properties. Our analysis provides several interesting insights into adversarial risk, adversarial training, and their relation to the classification risk, "traditional" training. We also show that adversarial training can result in models with better classification accuracy and can result in better explainable models than traditional training. Although adversarial training is computationally expensive, our results and insights suggest that one should prefer adversarial training over traditional risk minimization for learning complex models from data.