Miracle-dz/UniFAR-FTUs huggingface dataset:
RQ-CEASE: A Resilient Quantized Collaborative Event-Triggered Average-Consensus Sampled-Data Framework Under Denial of Service Attack

Referred to as the RQ-CEASE, this article proposes a resilient framework for quantized, event-triggered (ET), sampled-data, average consensus in multiagent systems subject to denial of service (DoS) attacks. The DoS attacks typically attempt to block the measurement and communication channels in the network. Two different ET approaches are considered in RQ-CEASE based on whether the ET threshold is dependent or independent of the state dynamics. For each approach, we analytically derive operating conditions (bounds) for the sampling period and ET design parameter guaranteeing the input-to-state stability (ISS) of the network under DoS attacks. In addition, upper bounds for duration and frequency of DoS attacks are derived within which the network remains operational. For each approach, the maximum possible error from the average consensus value is derived. The resilience of the two RQ-CEASE approaches to DoS attacks, as well as their steady-state consensus error, and transmission savings are compared both analytically and using simulations.
Long-term Follow-up of Pure Ductal Carcinoma in situ after Breast-Conserving Surgery

Long-term Follow-up of Pure Ductal Carcinoma in situ after BreastConserving Surgery Keong Won Yun, M.D., Jisun Kim, M.D., Ph.D., Jong Won Lee, M.D., Ph.D., Sae Byul Lee, M.D., Ph.D., Hee Jeong Kim, M.D., Ph.D., Il Young Chung, M.D., Beom Seok Ko, M.D., Ph.D., Byung Ho Son, M.D., Ph.D., Sei Hyun Ahn, M.D., Ph.D. Department of Surgery, Gangneung Asan Hospital, Gangneung; Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
Features of inventory management in logistics system of a trading enterprise

The article aims to define the role of inventory management in the logistics system of a trading enterprise. In the article general theoretical aspects of inventory management have been identified and existing systems of trading enterprises’ inventory management have been analyzed. General scientific theoretical and empirical methods have been used in the course of the research: observation and comparison, analytical, grouping and generalization of data, structural methods, elements of economic and financial analysis. Having analyzed the existing inventory management systems of trading enterprises and having examined the main directions of improving the inventory management system at domestic trading companies, it was determined that to solve all the tasks on fostering the efficiency of trading companies, it is necessary to create and develop their integrated trading management system, based on synchronized use of existing models. As a result the relevance and feasibility of modifying the inventory management system at a trade enterprise are substantiated. It is stated that effective inventory management of a trading enterprise should be based on: the use of powerful information technologies; improving inventory control and supply coordination; ensuring the continuous interaction of the functional subsystems of the whole set of enterprises-producers, consumers and suppliers and establishing effective communication with them; modification of the planning system in the field of sales, procurement, promotion and motivation of staff; optimization of the enterprise marketing system and improvement of order management; reorganization of the warehouse system in accordance with the selected order management system. JEL Classification: D24, L 23
Shape sensing of deformable objects for robot manipulation

Les objets deformables sont omnipresents dans notre vie quotidienne. Chaque jour, nous manipulons des vetements dans des configurations innombrables pour nous habiller, nouons les lacets de nos chaussures, cueillons des fruits et des legumes sans les endommager pour notre consommation et plions les recus dans nos portefeuilles. Toutes ces tâches impliquent de manipuler des objets deformables et peuvent etre executees sans probleme par une personne. Toutefois, les robots n'ont pas encore atteint le meme niveau de dexterite. Contrairement aux objets rigides, que les robots sont maintenant capables de manipuler avec des performances proches de celles des humains; les objets deformables doivent etre controles non seulement pour les positionner, mais aussi pour definir leur forme. Cette contrainte supplementaire, relative au controle de la forme d’un objet, rend les techniques utilisees pour les objets rigides inapplicables aux objets deformables. En outre, le comportement des objets deformables differe largement entre eux, par exemple: la forme d’un câble et des vetements est considerablement affectee par la gravite, alors que celle-ci n’affecte pas la configuration d’autres objets deformables tels que des produits alimentaires. Ainsi, differentes approches ont ete proposees pour des classes specifiques d’objets deformables.Dans cette these, nous cherchons a remedier a ces lacunes en proposant une approche modulaire pour detecter la forme d'un objet pendant qu'il est manipule par un robot. La modularite de cette approche s’inspire d’un paradigme de programmation qui s’applique de plus en plus au developpement de logiciels en robotique et vise a apporter des solutions plus generales en separant les fonctionnalites en composants. Ces composants peuvent ensuite etre interchanges en fonction de la tâche ou de l'objet concerne. Cette strategie est un moyen modulaire de suivre la forme d'objets deformables.Pour valider la strategie proposee, nous avons implemente trois applications differentes. Deux applications portaient exclusivement sur l'estimation de la deformation de l'objet a l'aide de donnees tactiles ou de donnees issues d’un capteur d’effort. La troisieme application consistait a controler la deformation d'un objet. Une evaluation de la strategie proposee, realisee sur un ensemble d'objets elastiques pour les trois applications, montre des resultats prometteurs pour une approche qui n'utilise pas d'informations visuelles et qui pourrait donc etre amelioree de maniere significative par l'ajout de cette modalite.
Mechanisms and consequences of MYB gene activation in salivary gland tumors

Salivary gland adenoid cystic carcinoma (ACC) is an aggressive tumor with a tendency to infiltrate surrounding nerves and metastasize to distant sites. The standard treatment often fails to control local tumor recurrence and distant metastases and no approved targeted therapeutic options exist for these tumors. The goal of our studies was to reveal the molecular mechanisms driving ACC tumor development and novel drug targets to improve patient morbidity and mortality. We first analyzed clinical and RNA-sequencing (RNA-seq) data for 68 formalin-fixed paraffin-embedded (FFPE) ACC tumor samples and described previously unappreciated molecular heterogeneity that predicts patient outcome. The poor outcome subgroup had a gene expression signature that resembled embryonic stem cells, suggesting these patients had high-grade dedifferentated tumors. We also utilized these RNA-seq data to definitively show that the MYB and MYBL1 genes are the oncogenic drivers in the vast majority of ACC tumors. ACC tumors that expressed Myb oncogenes were distinct from those that did not,
Epidemiología de la retinopatía diabética y su relación con la diabetes

Epidemiological studies and statistics reports from countries have shown that the prevalence of diabetes is increasing worldwide. Recent reports and epidemiological data estimate that more than 552 million people will be affected by diabetes by 2030, and those affected will therefore be at risk of developing macrovascular and microvascular complications. Diabetic retinopathy is a microvascular complication which can lead to artÍculo de revisión epidemiología de la retinopatía diabética y su relación con la diabetes Erika Vallejo Mesa1, Francisco J. Rodríguez Alvira2 1 Médico Residente III año de Oftalmología. Universidad del Sinú Seccional Cartagena. 2 Fundación Oftalmológica Nacional Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, DC. Correo electrónico: fjrodriguez@fon.org. co Fecha de recepción: 9/09/2015 Fecha de aceptación: 8/02/2016 blindness and thus impair the quality of life, especially in the working-age population and a subsequent impact on family and social environment. The objective of this paper is to review available data on the prevalence of diabetes and some epidemiological studies of diabetic retinopathy. The importance of the issue is to obtain an earlier diagnosis for an intervention in risk factors resulting in a slower progression of the disease.
Daya bunuh dan daya hambat antimikrobial chlorhexidine 2% dan povidone iodine 1% sebagai medikamen saluran akar terhadap Enterococcus faecalis The ability of chlorhexidine 2% and povidone iodine 1% as root canal medicaments to kill and inhibit Enterococcus faecalis

Background. Enterococcus faecalis is one of the pathogenic organisms associated with root canal treatment failure and apical periodontitis. Root canal medicament is needed to prevent re-infection in the root canal and increase the success of treatment. Chlorhexidine and povidone iodine is a broad spectrum root canal medicaments that can kill gram-positive bacteria. Purpose. The purpose of this study was to discover the ability to kill and inhibit of antimicrobial chlorhexidine 2% and 1% povidone iodine asvroot canal medicaments against bacteria Enterococcus faecalis. Methode. This research was done by measuring the inhibition zone and count the number of colonies. Determination of the inhibition of root canal medicaments against Enterococcus faecalis by diffusion method. 10 microliter root canal medicaments dropped on paperdisk and placed on nutrient agar media with enterococcus faecalis, then inhibition zone was calculated. Determination ability to kill enterococcus faecalis is done by inserting 1 ml medicaments root canal into 5 ml BHIB media, then 0.05 ml inoculum of Enterococcus faecalis inserted into each tube, except the negative control. 0.1 ml of each tube implanted in the media nutrient agar. Media incubated for 24 hours, then Enterococcus faecalis bacterial colonies that grow in media calculated using the CFU. Results. There no colony growth of enterococcus faecalis in both root canal medicaments. There are significant differences in inhibition zone of 2% chlorhexidine and 1% povidone iodine (p<0.05). Conclusion. Both of root canal medicaments can kill enterococcus faecalis, but chlorhexidine 2% was more capable inhibit Enterococcus faecalis.
Physicochemical characterization and release properties of oral drug delivery: A pH-sensitive nanocomposite based on sodium alginate–pectin–tannic acid–silver

A pH-sensitive nanocomposite formed from sodium alginate (SA)/pectin (Pec)/tannic acid (TA)–silver (Ag) was developed using microwave irradiation and it was applied as a carrier for propranolol drug. TA acts as a cross-linker and a reducing agent for Ag ions. Physicochemical characteristics of the fabricated system using Fourier transform infrared spectroscopy, X-ray diffraction, field-emission scanning electron microscope, high-resolution transmission electron microscope, dynamic light scattering instrument, and energy dispersive X-ray analysis. The swelling percent and the drug release were observed to be pH-sensitive. The occurrence of Ag nanoparticles in the network enhances the drug release that is 96% at pH 7.4 within 420 min. The drug release data were adjusted into different kinetic models involved zero order, first order, Higuchi, and Ritger–Peppas models. The release mechanism is a non-Fickian character where it controls by diffusion and relaxation of polymer chains. It can be concluded that SA/Pec/TA-Ag nanocomposite is a candidate for the oral drug carrier specific for the intestinal system and has ability against the gastric fluid.
VEGF in the Placenta and Maternal Circulation and Organs during Pregnancy in Mice

Whether vascular endothelial growth factor A (VEGF) plays an augmented role during pregnancy is unknown. In this thesis expression of VEGF in the placenta, maternal circulation and organs in mice was examined using qRT-PCR, LacZ expression, and/or ELISAs. Normal pregnancies and pregnancies with transgenic conceptuses that overexpress VEGF in the placenta were examined. In normal pregnancies, VEGF120/164 levels in the ovary increased in parallel with that of the maternal circulation. In pregnancies where the placenta over-expressed VEGF, maternal circulating VEGF120/164 levels decreased and so did levels in the maternal ovary. Surprisingly, VEGF protein levels (per mg of total protein) decreased in the growing, highly vascular placenta during pregnancy. In conclusion this thesis provides evidence for an important ovarian source of maternal circulating VEGF120/164 during pregnancy.
Inflamación crónica y estrés oxidativo en la diabetes mellitus

Diabetes mellitus is a metabolic disease of endocrine system, which its biochemical disturbance main is a chronic hyperglycemia associated to failures in the action and/or production of insulin, with alterations in the metabolism of lipids and proteins. In this sense, it has been showed that chronic hyperglycemia is the etiologic factor more relevant of the diabetic complications; however the biochemical mechanisms involved in the physiopathologic process are not perfectly known. In such regard, it has been hypothesized that the hyperglycemia promotes biochemical disturbances that forward injury to the organism, such as oxidative stress and chronic inflammatory process. Therefore, in this review are analyzed these mechanisms, besides we show the scientific evidences that support this proposal.
Deep Audio Priors Emerge From Harmonic Convolutional Networks

Convolutional neural networks (CNNs) excel in image recognition and generation. Among many efforts to explain their effectiveness, experiments show that CNNs carry strong inductive biases that capture natural image priors. Do deep networks also have inductive biases for audio signals? In this paper, we empirically show that current network architectures for audio processing do not show strong evidence in capturing such priors. We propose Harmonic Convolution, an operation that helps deep networks distill priors in audio signals by explicitly utilizing the harmonic structure within. This is done by engineering the kernel to be supported by sets of harmonic series, instead of local neighborhoods for convolutional kernels. We show that networks using Harmonic Convolution can reliably model audio priors and achieve high performance in unsupervised audio restoration tasks. With Harmonic Convolution, they also achieve better generalization performance for sound source separation.
Holocene climate variability of the Western Mediterranean: Surface water dynamics inferred from calcareous plankton assemblages

A high-resolution study (centennial scale) has been performed on the calcareous plankton assemblage of the Holocene portion of the Ocean Drilling Program Site 976 (Alboran Sea) with the aim to identify the main changes in the surface water dynamic. The dataset also provided a seasonal foraminiferal sea surface water temperatures (SSTs), estimated using the modern analog technique SIMMAX 28, and it was compared with available geochemical and pollen data at the site. Three main climate shifts were identified as (1) the increase in abundance of Syracosphaera spp. and Turborotalita quinqueloba marks the early Holocene humid phase, during maximum summer insolation and enhanced river runoff. It is concomitant with the expansion of Quercus, supporting high humidity on land. It ends at 8.2 ka, registering a sudden temperature and humidity reduction; (2) the rise in the abundances of Florisphaera profunda and Globorotalia inflata, at ca. 8 ka, indicates the development of the modern geostrophic front, gyre circulation, and of a deep nutricline following the sea-level rise; and (3) the increase of small Gephyrocapsa and Globigerina bulloides at 5.3 ka suggests enhanced nutrient availability in surface waters, related to more persistent wind-induced upwelling conditions. Relatively higher winter SST in the last 3.5 ka favored the increase of Trilobatus sacculifer, likely connected to more stable surface water conditions. Over the main trends, a short-term cyclicity is registered in coccolithophore productivity during the last 8 ka. Short periods of increased productivity are in phase with Atlantic waters inflow, and more arid intervals on land. This cyclicity has been related with periods of positive North Atlantic Oscillation (NAO) circulations. Spectral analysis on coccolithophore productivity confirms the occurrence of millennial-scale cyclicity, suggesting an external (i.e. solar) and an internal (i.e. atmospheric/oceanic) forcing.
Dynamic Bankruptcy Prediction Models for European Enterprises

This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm’s bankruptcy risk is one of the most interesting topics for investors and decision-makers. The aim of the paper is to develop and to evaluate dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are developed with the use of four different methods—fuzzy sets, recurrent and multilayer artificial neural network, and decision trees. Such a research approach will answer the question of whether changes in indicators are relevant predictors of a company’s coming financial crisis because declines or increases in values do not immediately indicate that the company’s economic situation is deteriorating. The research relies on two samples of firms—the learning sample of 50 bankrupt and 50 non-bankrupt enterprises and the testing sample of 250 bankrupt and 250 non-bankrupt firms.
Which medications for pain have the lowest propensity for addiction?

Patients with chronic, noncancer pain have a low risk of problematic behaviors at one year when taking NSAIDs (2.5%) and tramadol (2.7%), whereas patients taking opioids have about twice the risk (4.9%). Compared with no opioid use, the odds of a diagnosis of opioid use disorder triples when opioids are prescribed for less than 90 days but increases dramatically when opioids are prescribed for more than 90 days and in higher doses (SOR: B, randomized controlled trial and retrospective cohort study). Copyright © 2018 by Family Physicians Inquiries Network, Inc. DOI 10.1097/EBP.0000000000000157
Neue technologische Möglichkeiten für die Prävention

ZUSAMMENFASSUNG Technologien wie E-Health, Big Data und soziale Netzwerke eröffnen neue Möglichkeiten zur Prävention von Typ-2-Diabetes. Forscher des Universitätsklinikums Carl Gustav Carus in Dresden arbeiten an der Entwicklung von Präventionsprodukten, die ein breites Segment in der Bevölkerung erreichen können und einen gesunden Lebensstil unterstützen. Ein Beispiel ist die App „AnkerSteps“. Sie motiviert die Nutzer, sich 10 000 Schritte am Tag zu bewegen. Die Entwicklung solcher intelligenter Apps bringt Experten und Leistungserbringer näher an die Risikoperson als je zuvor.
Re‐evaluating composite scores: Adaptive Lasso variable selection for non‐linear models

In nutrition, epidemiology, and other public health fields, composite scores are a common tool used to assess a health behaviour. These composite scores compare an individual's health behaviour to an idealized standard and provide a number, often between 0 and 100, to indicate their compliance to a health behaviour. Crucially, this measure of health behaviour is applied across populations (gender, smoking status, etc.) and health outcomes (colon cancer, breast cancer, etc.) to create a single interpretable score. One such composite score is the 2005 Healthy Eating Index that breaks diet into 12 components and evaluates nutritional intake by adherence to these components. We provide a general method that can be used to reassess the importance of these 12 components using flexible non‐linear models, across populations and diseases, based on an asymptotic least squares approximation. We establish oracle properties of this variable selection technique in our context, which is different from the usual one population and one disease context. Although our methods are motivated by the Healthy Eating Index, they are broad enough to be applied to any composite score and a broad range of non‐linear models.
Organizational Culture and Knowledge Sharing: Effect of Sequential Mechanisms

Aim/Purpose: This paper aims to examine and test the serial mediation effects of formal knowledge governance mechanisms and knowledge sharing opportunity on the relationship between hierarchy organizational culture and knowledge sharing behavior thematically organized around social exchange theory (SET). Materials and methods: This study uses survey design based on random sampling to measure hierarchy organizational culture, formal knowledge governance mechanisms, knowledge sharing opportunity and knowledge sharing behavior. Structural equation modeling is used to test the hypotheses based on regression analysis. Results: All the hypothesized relations were reinforced by data. Authors find support for the direct relationship between organizational culture and knowledge sharing behavior. The relationship between hierarchy organizational culture and knowledge sharing behavior is sequentially and fully mediated by formal knowledge governance mechanisms and knowledge sharing opportunity. Research limitations/implications: Data support the hypotheses but the contributions of the study should be acknowledged while allowing the limitations to be realized that lead to future directions. Several important research directions have been discussed to be examined in future. Practical implications: This study suggests that senior level managers should foster a culture in organizations that support formal mechanisms to encourage knowledge sharing. Practitioners and managers should re-consider the role formal knowledge governance mechanisms can play for creating synergy to upsurge knowledge sharing opportunities that contribute to improvement in knowledge sharing behavior. Conclusion: This paper concludes that hierarchy organizational culture promotes formal knowledge governance in organizations to provide employees with knowledge sharing opportunities that in turn enhance their knowledge sharing behavior at workplace.
Effectiveness of Maitland mobilisation technique on pain and hand functions in the postoperative management of Colles fracture

This study compared use of the Maitland mobilisation and conventional mobilisation techniques for improving pain and range of motion postoperatively in patients with Colles’ fracture. The subjects were 60 patients with colles’ fracture who had been managed surgically. The subjects were divided in two groups, those who received Maitland mobilisation or those who received conventional mobilisation. Pain and hand functions were evaluated preand post-intervention in both groups. Paired t-tests were used to compare the preand post-intervention results in both groups, and independent t-tests were used to compare groups. Both groups exhibited significant decreases in pain post-intervention. Moreover, the hand functions increased significantly post-intervention in both groups. However, there was significant difference between groups with better results observed in the Maitland group with respect to pain improvement and hand functions.