nils-herrmann/clean_scirepeval huggingface dataset:
Teacher behavior and student outcomes: Results of a European study
Year: 2014

This study investigates the extent to which the factors included in the dynamic model of educational effectiveness are associated with student achievement gains in six different European countries. At classroom level, the dynamic model refers to eight factors relating to teacher behavior in the classroom: orientation, structuring, questioning, teaching modeling, application, management of time, teacher role in making classroom a learning environment, and classroom assessment. This paper presents results concerned with the impact of the teacher factors on student achievement. In each participating country (i.e. Belgium/Flanders, Cyprus, Germany, Greece, Ireland, and Slovenia) a sample of at least 50 primary schools (n 334) was drawn. Written tests in mathematics and science were administered to all grade 4 students (n 10,742) at the beginning and at the end of the school year 2010 2011. Students were also asked to complete a questionnaire concerning the eight teacher factors of the dynamic model. Structural equation modeling techniques were used to test the construct validity of the student questionnaire. Both across and within country analyses revealed that student ratings are reliable and valid for measuring the functioning of the teacher factors included in the dynamic model. Multilevel analyses revealed that teacher factors are associated with student achievement gains in mathematics and science. Implications for the development of educational effectiveness research and for improving quality of teaching are drawn.
Discriminative template learning in group convolutional networks for invariant speech representations
Venue: INTERSPEECH
Year: 2015

In the framework of a theory for invariant sensory signal representations, a signature which is invariant and selective for speech sounds can be obtained through projections in template signals and pooling over their transformations under a group. For locally compact groups, e.g. translations, the theory explains the resilience of convolutional neural networks with filter weight sharing and max pooling across their local translations in frequency or time. In this paper we propose a discriminative approach for learning an optimum set of templates, under a family of transformations, namely frequency transpositions and perturbations of the vocal tract length, which are among the primary sources of speech variability. Implicitly, we generalize convolutional networks to transformations other than translations, and derive data specific templates by training a deep network with convolution pooling layers and densely connected layers. We demonstrate that such a representation, combining group generalized convolutions, theoretical invariance guarantees and discriminative template selection, improves frame classification performance over standard translation CNNs and DNNs on TIMIT and Wall Street Journal datasets.
NF kB Pathway in Autoinflammatory Diseases: Dysregulation of Protein Modifications by Ubiquitin Defines a New Category of Autoinflammatory Diseases
Venue: Front. Immunol.
Year: 2017

Autoinflammatory diseases are caused by defects in genes that regulate the innate immunity. Recently, the scope of autoinflammation has been broadened to include diseases that result from dysregulations in protein modifications by the highly conserved ubiquitin (Ub) peptides. Thus far these diseases consist of linear ubiquitin chain assembly complex (LUBAC) and OTULIN deficiencies, and haploinsufficiency of A20. The LUBAC is critical for linear ubiquitination of key signaling molecules in immune response pathways, while deubiquitinase enzymes, OTULIN and TNFAIP3/A20, reverse the effects of ubiquitination by hydrolyzing linear (Met1) and Lys63 (K63) Ub moieties, respectively, from conjugated proteins. Consequently, OTULIN or A20 deficient cells have an excess of Met1 or K63 Ub chains on NEMO, RIPK1, and other target substrates, which lead to constitutive activation of the NF kB pathway. Mutant cells produce elevated levels of many proinflammatory cytokines and respond to therapy with cytokine inhibitors. Patients with an impairment in LUBAC stability have compromised NF kB responses in non immune cells such as fibroblasts, while their monocytes are hyperresponsive to IL 1b. Discoveries of germline mutations in enzymes that regulate protein modifications by Ub define a new category of autoinflammatory diseases caused by upregulations in the NF kB signaling. The primary aim of this review is to summarize the latest developments in our understanding of the etiology of autoinflammation.
Overweight, obesity and central obesity in women with polycystic ovary syndrome: a systematic review and meta analysis.
Venue: Human reproduction update
Year: 2012

Polycystic ovary syndrome (PCOS) is closely associated with obesity but the prevalence of obesity varies between published studies. The objective of this research was to describe the prevalence of overweight, obesity and central obesity in women with and without PCOS and to assess the confounding effect of ethnicity, geographic regions and the diagnostic criteria of PCOS on the prevalence.  MEDLINE, EMBASE, CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL) and PSYCINFO were searched for studies reporting the prevalence of overweight, obesity or central obesity in women with and without PCOS. Data were presented as prevalence and risk ratio (RR) [95% confidence interval (CI) Random effect models were used to calculate pooled RR.  This systematic review included 106 studies while the meta analysis included 35 studies (15129 women) Women with PCOS had increased prevalence of overweight [RR (95% CI) 1.95 (1.52, 2.50) obesity [2.77 (1.88, 4.10) and central obesity [1.73 (1.31, 2.30) compared with women without PCOS. The Caucasian women with PCOS had a greater increase in obesity prevalence than the Asian women with PCOS compared with women without PCOS [10.79 (5.36, 21.70) versus 2.31 (1.33, 4.00) P 0.001 between subgroups) CONCLUSIONS Women with PCOS had a greater risk of overweight, obesity and central obesity. Although our findings support a positive association between obesity and PCOS, our conclusions are limited by the significant heterogeneity between studies and further studies are now required to determine the source of this heterogeneity. Clinical management of PCOS should include the prevention and management of overweight and obesity.
Genetic variation and biogeographical boundaries within the red alga Porphyra umbilicalis (Bangiales, Rhodophyta)
Year: 2010

Information about past periods of climate change can provide a framework for investigating how marine communities may have adapted to changes both geographically and ecologically. The spatial distribution of variable haplotypes from the nuclear ribosomal DNA internal transcribed spacer (ITS1 5.8S ITS2) region and a ribosomal DNA group I intron from the obligate, rocky shore intertidal red alga Porphyra umbilicalis were used to reconstruct its biogeographical history since the last glacial maximum in the North Atlantic. Haplotype distributions from European and North American samples representing the range of P. umbilicalis are consistent with the hypothesis that North American populations were extirpated during the last glacial maximum and subsequently recolonized from European donor populations. A non coding intergenic region between the mitochondrial cytochrome oxidase (cox)2 and cox3 genes was also investigated, but because there were extremely low levels of intraspecific variation, the spacer was not useful for phylogeographical analysis.
A Numerical Investigation on the Behavior of Electrons in the Bullet in the Atmospheric Pressure Argon Plasma Jet
Venue: IEEE Transactions on Plasma Science
Year: 2020

Electrons are generated abundantly in the plasma jet and play an active role in the mass transfer of reactive species in the aqueous solution in plasma medicine. Such an importance requires knowledge of the behavior of electrons in the plasma jet. The objective of this work is to understand the electron behaviors in the bullet in the plasma jet, including the angle spectrum of electrons (ASEs) and the related energy spectrum, so as to have an insight into those electrons which most probably interact with the target. The numerical modeling based on a needle plate discharge configuration in conjunction with a 1 D Particle in Cell Monte Carlo Collision (PIC MCC) simulation method was used to achieve this task. The scattering angle of electron in the bullet is described using the angle between the electron scattering direction and the bullet propagation direction. The ASE in the bullet is close to a sinusoidal distribution. As the bullet propagates, the temporal evolution of ASE indicates that relatively more electrons in the bullet are scattered into the angle range below 90deg, but at any moment when the propagating bullet is close to the target, ASE in the bullet generally remains unchanged. In addition, relatively less electrons in the bullet are scattered into the angle range below 90deg due to the increase of the applied voltage amplitude. For the considered voltage amplitudes below 7 kV, the number of electrons in the angle range below 90deg is within 47% of electrons in the bullet and, in these electrons, the proportion of non subionization electrons reaches about 12% These results may be taken into consideration in investigating the mass transfer of reactive species in plasma medicine.
Impact of capital structure on firm s profitability and shareholder wealth maximization A study of listed Indian cement companies
Year: 2016

The capital structure decision is the imperative one since the profitability of the firm is specifically influenced by such decision. It is redundant that benefit ought to be the main target for a business. Profit maximization is part of the wealth creation process. Where, wealth maximization is a long haul process. It alludes to the value of the firm and it is expressed in the value of stock. Hence, this study has aimed at investigating the impact of capital structure on the profitability and shareholder wealth of the listed cement manufacturing companies using a panel data methodology. The study considered all the listed cement manufacturing companies on the National Stock Exchange over the past 8 years. To analyze the data various statistical techniques include descriptive statistics, correlation analysis and regression analysis were used. Two kinds of variables were used in the study. Dependent variables are Return on Asset, Tobin's q ratio to measure market value and EPS to measure shareholder wealth. Where, the independent variables were leverage, debt to equity ratio, total liability, size and rate of growth in sales. Our results showed that the capital structure (debtequity ratio) positively impact the firm's profitability, market value and shareholder wealth but statistically this relation is not significant. This study is significant in that it will add to the already existing literature on the impact of capital structure on the firm's profitability and shareholder wealth.
Daedalic DNA vaccination against self antigens as a treatment for chronic kidney disease.
Venue: International journal of clinical and experimental pathology
Year: 2013

Chronic kidney disease (CKD) is a major cause of death and morbidity in Australia and worldwide. DNA vaccination has been used for targeting foreign antigens to induce immune responses and prevent autoimmune disease, viral infection and cancer. However, the use of DNA vaccination has been restricted by a limited ability to induce strong immune responses, especially against self antigens which are limited by mechanisms of self tolerance. Furthermore, there have been few studies on the potential of DNA vaccination in chronic inflammatory diseases, including CKD. We have established strategies of DNA vaccination targeting specific self antigens in the immune system including co stimulatory pathways, T cell receptors and chemokine molecules, which have been effective in protecting against the development of CKD in a variety of animal models. In particular, we find that the efficacy of DNA vaccination is improved by dendritic cell (DC) targeting and can protect against animal models of autoimmune nephritis mimicking human membranous nephropathy. In this review, we summarize several approaches that have been tested to improve the efficacy of DNA vaccination in CKD models, including enhanced DNA vaccine delivery methods, DNA vaccine modifications and new molecular targets for DNA vaccination. Finally, we discuss the specific application of DNA vaccination for preventing and treating CKD.
START Self Tuning Adaptive Radix Tree
Venue: 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)
Year: 2020

structures like the Adaptive Radix Tree (ART) are a central part of in memory database systems. However, we found that radix nodes that index a single byte are not optimal for read heavy workloads. In this work, we introduce START, a self tuning variant of ART that uses nodes spanning multiple keybytes. To determine where to introduce these new node types, we propose a cost model and an optimizer. These components allow us to fine tune an existing ART, reducing its overall height, and improving performance. As a result, START performs on average 85 faster than a regular ART on a wide variety of read only workloads and 45% faster for read mostly workloads.
A bazaar assemblage: reconstructing consumption, production and trade from mineralised seeds in Abbasid Jerusalem
Venue: Antiquity
Year: 2019

Recent excavations in the historic centre of ancient Jerusalem have revealed evidence of an Abbasid (eighth to tenth century AD) marketplace. Refuse pits and cesspits have yielded an exceptionally well preserved archaeobotanical assemblage the first to be recovered from a Levantine marketplace, and the first in the region to be almost entirely preserved by mineralisation. Among several rare species identified is the earliest discovery of aubergine in the Levant. The assemblage includes staple and luxury food plants, medicinal herbs and plants used for industrial production, illuminating patterns of consumption, production, trade and the socioeconomic structure of Abbasid Jerusalem.
Internet of Things for Smart Cities
Year: 2020

The Internet of Things (IoT) shall be able to incorporate transparently and seamlessly a large number of different and heterogeneous end systems, while providing open access to selected subsets of data for the development of a plethora of digital services. Building a general architecture for the IoT is hence a very complex task, mainly because of the extremely large variety of devices, link layer technologies, and services that may be involved in such a system. In this paper, we focus specifically to an urban IoT system that, while still being quite a broad category, are characterized by their specific application domain. Urban IoTs, in fact, are designed to support the Smart City vision, which aims at exploiting the most advanced communication technologies to support added value services for the administration of the city and for the citizens. This paper hence provides a comprehensive survey of the enabling technologies, protocols, and architecture for an urban IoT. Furthermore, the paper will present and discuss the technical solutions and best practice guidelines adopted in the Padova Smart City project, a proof of concept deployment of an IoT island in the city of Padova, Italy, performed in collaboration with the city municipality.  Application Protocol (CoAP) Efficient XML Interchange (EXI) network architecture, sensor system integration, service functions and management, Smart Cities, testbed and trials, 6lowPAN.
Vomissements doit on les traiter Balance benefice risque des antiemetiques Revue de la litterature et meta analyse dans le cadre du Projet REB (Rebuild the Evidence Base)
Year: 2019

Les vomissements aigus sont un motif frequent de consultation en medecine ambulatoire et a ce titre, plus de 10 millions de boites ont ete remboursees en 2017 soit 13 millions d'euros. Dans le projet REB porte par le College National des Generalistes Enseignants, une evaluation des benefices et des risques des antiemetiques a ete realisee. Methode Une revue de la litterature a ete realisee independamment par deux investigateurs jusqu'au 22 mars 2018 a partir des bases de donnees Medline, Cochrane, Embase et Clinical Trials. Les criteres d'inclusion etaient Vomissements aigus chez les adultes et les enfants quelques soient leurs etiologies exceptees en chimiotherapie, radiotherapie, post chirurgie, au cours de la grossesse et pour le mal des transports Essais cliniques controles et randomises Publication en langue francaise ou anglaise Comparaison des antiemetiques versus placebo ou autre molecule. Pour les benefices, les effets sur la severite des nausees et la frequence des vomissements etaient evalues. Pour les risques, les effets secondaires etaient evalues. Le protocole est enregistre dans le registre PROSPERO sous le numero CRD42018091878. Resultats Nous avons retenu 24 articles parmi les 1 704 trouves a partir de la recherche electronique. L'ensemble des etudes ont ete realisees aux urgences. La plupart (83% evaluait les setrons, 29% le metoclopramide. La voie administration etait a 50% intraveineuse et 38% par voie orale. La majorite concernait l'enfant (67% et la gastro enterite aigue (67% Le benefice global sur les vomissements (variables binaires et continues) exprime en SMD (Standardized Mean Difference) etait faible a 0,25 (IC95 0,16 0,33, p 0,01) Sur les criteres de jugement binaires (arret des vomissements, succes de rehydratation, non hospitalisation) le RR etait de 1,24 (IC95 1,11 1,39, p 0,01, I2 79,7% le NNT 5 pour l'ondansetron, seule valeur significative. Sur les criteres de jugement continus (score de nausees exprime en echelle visuelle analogique) le SMD global etait de 0,83 (IC95 0,30 1,36, p 0,01, I2 92,1% Les risques (effets secondaires) etaient rapportes seulement dans 40% des etudes et de maniere non exhaustive avec notamment l'akathisie, la sedation et les cephalees.  Il semble que les antiemetiques aient une efficacite limitee par rapport au placebo et que leurs risques soient insuffisamment evalues. La place de l'ondansetron est a discuter dans ces indications en medecine ambulatoire. Cette etude remet en question la pertinence de la prescription des antiemetiques dans les vomissements aigus, l'evolution etant spontanement favorable en l'absence de traitement.
H AT: Hybrid Attention Transfer for Knowledge Distillation
Venue: PRCV
Year: 2020

Knowledge distillation is a widely applicable technique for supervising the training of a light weight student neural network by capturing and transferring the knowledge of a high capacity trained teacher neural network. However, the distillation performance is very sensitive to how the distilled knowledge and the distillation loss are defined. In this paper, we propose a novel channel wise attention transfer loss with a corresponding channel selection method. Further, we develop a hybrid attention transfer loss. Extensive experiments on four public datasets demonstrate that the proposed channel wise transfer method shows a complementary effect with other attention based methods, and the hybrid attention transfer achieves state of the art performance on knowledge distillation tasks. Code for our experiments is available at https:/github.com/somone23412/H AT.
High order symplectic integrators based on continuous stage Runge Kutta Nystrom methods
Venue: Appl. Math. Comput.
Year: 2019

On the basis of the previous work by Tang Zhang ( 2018, p. 204 219) in this paper we present a more effective way to construct high order symplectic integrators for solving second order Hamiltonian equations. Instead of analyzing order conditions step by step as shown in the previous work, the new technique of this paper is using Legendre expansions to deal with the simplifying assumptions for order conditions. With the new technique, high order symplectic integrators can be conveniently devised by truncating an orthogonal series.
An Integrated Health Condition Detection Method for Rotating Machinery Using Refined Composite Multivariate Multiscale Amplitude Aware Permutation Entropy
Year: 2020

With a view to realizing the fault diagnosis of rotating machinery effectively, an integrated health condition detection approach for rotating machinery based on refined composite multivariate multiscale amplitude aware permutation entropy (RCmvMAAPE) max relevance and min redundancy (mRmR) and whale optimization algorithm based kernel extreme learning machine (WOA KELM) is presented in this paper. The approach contains two crucial parts: health detection and fault recognition. In health detection stage, multivariate amplitude aware permutation entropy (mvAAPE) is proposed to detect whether there is a fault in rotating machinery. Afterward, if it is detected that there is a fault, RCmvMAAPE is employed to extract the initial fault features that represent the fault states from the multivariate vibration signals. Based on the multivariate expansion and multiscale expansion of amplitude aware permutation entropy, RCmvMAAPE enjoys the ability to effectively extract state information on multiple scales from multichannel series, thereby overcoming the defect of information loss in traditional methods. Then, mRmR is adopted to screen the sensitive features so as to form sensitive feature vectors, which are input into the WOA KELM classifier for fault classification. Two typical rotating machinery cases are conducted to prove the effectiveness of the raised approach. The experimental results demonstrate that mvAAPE shows excellent performance in fault detection and can effectively detect the fault of rotating machinery. Meanwhile, the feature extraction method based on RCmvMAAPE and mRmR, as well as the classifier based on WOA KELM, shows superior performance in feature extraction and fault recognition, respectively. Compared with other fault identification methods, the raised method enjoys better performance and the average fault recognition accuracy of the two typical cases in this paper can all reach above 98%