nils-herrmann/clean_scirepeval huggingface dataset:
LinkLive: discovering Web learning resources for developers from Q&A discussions
Venue: World Wide Web
Year: 2018

Software developers need access to correlated information (e.g. API documentation, Wikipedia pages, Stack Overflow questions and answers) which are often dispersed among different Web resources. This paper is concerned with the situation where a developer is visiting a Web page, but at the same time is willing to explore correlated Web resources to extend his/her knowledge or to satisfy his/her curiosity. Specifically, we present an item based collaborative filtering technique, named LinkLive, for automatically recommending a list of correlated Web resources for a particular Web page. The recommendation is done by exploiting hyperlink associations from the crowdsourced knowledge on Stack Overflow. We motivate our research using an exploratory study of hyperlink dissemination patterns on Stack Overflow. We then present our LinkLive technique that uses multiple features, including hyperlink co occurrences in Q&A discussions, locations (e.g. question, answer, or comment) in which hyperlinks are referenced, and votes for posts/comments in which hyperlinks are referenced. Experiments using 7 years of Stack Overflow data show that, our technique recommends correlated Web resources with promising accuracy in an open setting. A user study of 6 participants suggests that practitioners find the recommended Web resources useful for Web discovery.
Studi Deskriptif tentang Proses Koordinasi Pelaksanaan Patroli Gabungan Terpadu dalam Pengawasan Pencemaran Air di Kali Surabaya
Year: 2014

Seiring dengan semakin banyaknya industri atau perusahaan yang muncul di sepanjang kali Surabaya serta kondisi pencemaran dan kualitas air kali yang cenderung buruk dan fluktuatif dari tahun ke tahun menjadi satu permasalahan besar. Pada tahun 2008, melalui MoU oleh Badan Lingkungan Hidup Provinsi Jatim, Perum Jasa Tirta 1 dan Polwiltabes Kota Surabaya (Sekarang Polrestabes) di bentuk tim patroli gabungan yang memiliki tugas utama untuk mengawasi pencemaran oleh perusahaan di sepanjang kali Surabaya. Banyak instansi dan masyarakat atau LSM yang memiliki komitmen sama dalam menjaga kualitas air kali Surabaya kemudian bergabung dengan tim patroli gabungan diantaranya Dinas PU Pengairan Provinsi Jatim, Disperindag Provinsi Jatim, LSM Konsorsium lingkungan Hidup, LSM Garis Depan Lingkungan, serta beberapa instansi di kab/kota yang dilalui oleh kali Surabaya. Semua pihak berkomitmen untuk memperbaiki kualitas air di kali Surabaya dengan menindak tegas perusahaan yang terbukti mencemari air kali Surabaya. Penelitian ini dilakukan untuk mendeskripsikan bentuk koordinasi yang dibangun oleh berbagai pihak atau instansi yang terlibat dalam patroli gabungan terpadu serta mencari tahu faktor apa saja yang mempengaruhi koordinasi. Penelitian ini dilakukan dengan menggunakan metode penelitian kualitatif deskriptif dengan teknik penentuan informan secara purposive. Data yang diperoleh dari wawancara mendalam dan dokumentasi. Proses analisa data dilakukan dengan mengelompokkan dan mengkombinasikan data yang diperoleh, dan juga menetapkan serangkaian hubungan keterkaitan antara data tersebut. Kemudian validitas data diuji melalui triangulasi data sehingga data yang disajikan merupakan data yang absah. Hasil penelitian menunjukkan bahwa bentuk koordinasi yang dibangun adalah koordinasi horizontal karena diantara berbagai pihak yang terlibat dalam tim patroli ini memiliki kedudukan yang sama atau sejajar di dalam satu struktur dengan menunjuk KLH sebagai koordinator lapangan dan BLH Provinsi Jatim sebagai penanggungjawab melalui kesepakatan bersama. Di dalam pelaksanaan banyak sekali faktor atau variabel yang mempengaruhi kinerja dari tim patroli gabungan sendiri, diantaranya adalah faktor komunikasi, sumber daya, dan adanya informasi. Berbagai faktor yang ada saling berkaitan satu sama lain sehingga kinerja tim patroli dapat kita rasakan sampai saat ini dengan semakin baiknya kualitas air kali Surabaya.
Introversion and Workplace Factors in Burnout
Year: 2019

Introversion is a personality trait characterized by being quiet, reserved, and less sociable (Baumeister Vohs, 2007;2012) On the opposite end of this personality dimension there is extraversion, which can be observed as outgoing, more talkative, and having many social connections. Personality traits are biologically based and consistent over a lifetime, which means that individuals cannot simply train themselves to have different traits when it is convenient. When introverts choose to act like extraverts, it is called counter dispositional behavior (Zelenski et al. 2013) It is theorized that this behavior leads to long term impacts to one's life, such as emotional strain or burnout (Maslach Jackson, 1981) Burnout has several impacts to workplace behavior, most notably poor performance and increased turnover.
Bent vectorial functions and linear codes from o polynomials
Venue: Des. Codes Cryptogr.
Year: 2015

The main topics and interconnections arising in this paper are symmetric cryptography (S boxes) coding theory (linear codes) and finite projective geometry (hyperovals) The paper describes connections between the two main areas of information theory on the one side and finite geometry on the other side. Bent vectorial functions are maximally nonlinear multi output Boolean functions. They contribute to an optimal resistance to both linear and differential attacks of those symmetric cryptosystems in which they are involved as substitution boxes (S boxes) We firstly exhibit new connections between bent vectorial functions and the hyperovals of the projective plane, extending the recent link between bent Boolean functions and the hyperovals. Such a link provides several new classes of optimal vectorial bent functions. Secondly, we exhibit surprisingly a connection between the hyperovals of the projective plane in even characteristic and $q$$q ary simplex codes. To this end, we present a general construction of classes of linear codes from o polynomials and study their weight distribution proving that all of them are constant weight codes. We show that the hyperovals of $PG_{2}(2^m)$PG2(2m) from finite projective geometry provide new minimal codes (used in particular in secret sharing schemes, to model the access structures) and give rise to multiples of $2^r$$2r ary $r$$r being a divisor of $m$$m) simplex linear codes (whose duals are the perfect $2^r$$2r ary Hamming codes) over an extension field \mathbb F}_{2^{r}$F2r of \mathbb F}_{2^$F2. The following diagram gives an indication of the main topics and interconnections arising in this paper.
A Role for Polypyrimidine Tract Binding Protein in the Establishment of Focal Adhesions
Venue: Molecular and Cellular Biology
Year: 2009

Polypyrimidine tract binding protein (PTB) is a widely expressed RNA binding protein. In the nucleus PTB regulates the splicing of alternative exons, while in the cytoplasm it can affect mRNA stability, translation, and localization. Here we demonstrate that PTB transiently localizes to the cytoplasm and to protrusions in the cellular edge of mouse embryo fibroblasts during adhesion to fibronectin and the early stages of cell spreading. This cytoplasmic PTB is associated with transcripts encoding the focal adhesion scaffolding proteins vinculin and alpha actinin 4. We demonstrate that vinculin mRNA colocalizes with PTB to cytoplasmic protrusions and that PTB depletion reduces vinculin mRNA at the cellular edge and limits the size of focal adhesions. The loss of PTB also alters cell morphology and limits the ability of cells to spread after adhesion. These data indicate that during the initial stages of cell adhesion, PTB shuttles from the nucleus to the cytoplasm and influences focal adhesion formation through coordinated control of scaffolding protein mRNAs.
The 2007 Subprime Market Crisis Through the Lens of European Central Bank Auctions for Short Term Funds
Year: 2009

In this paper we study European banks' demand for short term funds (liquidity) during the summer 2007 subprime market crisis. We use bidding data from the European Central Bank's auctions for one week loans, their main channel of monetary policy implementation. Through a model of bidding, we show that banks' behavior reflects their cost of obtaining short term funds elsewhere (i.e. in the interbank market) as well as a strategic response to other bidders. We find considerable heterogeneity across banks in their willingness to pay for short term funds supplied in these auctions. Accounting for the strategic component is important: while a naive interpretation of the raw bidding data may suggest that virtually all banks suffered a dramatic increase in the cost of obtaining funds in the interbank market, we find that for about one third of the banks, the change in bidding behavior was simply a strategic response. Using a complementary data set, we also find that banks' pre turmoil liquidity costs, as estimated by our model, are predictive of their post turmoil liquidity costs, and that there is considerable heterogeneity in these costs with respect to the country of origin. Finally, among the publicly traded banks, the willingness to pay for short term funds in the second half of 2007 are predictive of stock prices in late 2008.
Le Plan de communication.
Year: 2016

Le plan de communication est l'approche methodologique indispensable pour concevoir, realiser et evaluer une campagne de communication. Dans ce cours, nous allons proceder comme suit: 1) presentation et discussion d'une campagne de communication concrete la campagne anti tabac de l'INPES en 2011) 2) identification des principales etapes et activites en amont necessaires pour lancer une telle campagne; 3) presentation et discussion d'un schema presentant d'une maniere synthetique les principales etapes composant le plan de communication en general; 4) presentation et discussion de chaque etape du plan de communication. Il existe une importante litterature consacree au plan de communication. Un des ouvrages de reference est celui de Thierry Libaert: Le Plan de communication. Definir et organiser votre strategie de communication. 3eme edition. Paris, Dunod 2008
Adversarial Examples for Improving End to end Attention based Small footprint Keyword Spotting
Venue: ICASSP 2019 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2019

In this paper, we explore the use of adversarial examples for improving a neural network based keyword spotting (KWS) system. Specially, in our system, an effective and small footprint attention based neural network model is used. Adversarial example is defined as a misclassified example by a model, but it is only slightly skewed from the original correctly classified one. In the KWS task, it is a natural idea to regard the false alarmed or false rejected queries as some kind of adversarial examples. In our work, given a well trained attention based KWS model, we first generate adversarial examples using the fast gradient sign method (FGSM) and find that these examples can dramatically degrade the KWS performance. Using these adversarial examples as augmented data to retrain the KWS model, we finally achieve 45.6% relative and false reject rate (FRR) reduction at 1.0 false alarm rate (FAR) per hour on a collected dataset from a smart speaker.
Multiresolution community detection for megascale networks by information based replica correlations.
Venue: Physical review. E, Statistical, nonlinear, and soft matter physics
Year: 2009

We use a Potts model community detection algorithm to accurately and quantitatively evaluate the hierarchical or multiresolution structure of a graph. Our multiresolution algorithm calculates correlations among multiple copies "replicas" of the same graph over a range of resolutions. Significant multiresolution structures are identified by strongly correlated replicas. The average normalized mutual information, the variation in information, and other measures, in principle, give a quantitative estimate of the "best" resolutions and indicate the relative strength of the structures in the graph. Because the method is based on information comparisons, it can, in principle, be used with any community detection model that can examine multiple resolutions. Our approach may be extended to other optimization problems. As a local measure, our Potts model avoids the "resolution limit" that affects other popular models. With this model, our community detection algorithm has an accuracy that ranks among the best of currently available methods. Using it, we can examine graphs over 40 x10;{6} nodes and more than 1 x10;{9} edges. We further report that the multiresolution variant of our algorithm can solve systems of at least 200 000 nodes and 10 x 10;{6} edges on a single processor with exceptionally high accuracy. For typical cases, we find a superlinear scaling O(L1.3) for community detection and O(L1.3 log N) for the multiresolution algorithm, where L is the number of edges and N is the number of nodes in the system.
Prospects of Digital Footprints Use in the Higher Education
Year: 2021

The objective increase in the role of digital technology comes into a real contradiction with the real practice of its usage in the Russian educational system. In the pedagogical science and practice, educational opportunities of digital tools and resources, their didactic and educational potential are still underestimated. This article investigates possible directions of digital footprints use in the system of higher education in the Russian Federation. The main research methods are analysis, systematization and modeling. Based on them, the author identifies three promising application areas for digital footprint technology in the educational context, which are interdependent: ensuring continuity and integration of educational levels; organization and management of the educational process; management of the educational system as a whole (educational management)
An ideal geothermometer in slate formation: A case from the Chingshui geothermal field, Taiwan
Year: 2017

The use of geothermometers derived from fluid solution compositions is a well established practice for estimating geothermal reservoir temperatures. The most commonly used geothermometers in hot spring environments are based on the solubility of SiO2, mineral equilibria involving the exchange of Na K and K Mg, and the empirically derived Na K Ca geothermometer. The preferred geothermometer for a reservoir is determined based on the rock type of each specific reservoir. Geothermal reservoirs in the Chingshui Region of northeastern Taiwan are predominantly composed of slate. Therefore, this study examines water rock interaction in a slate environment to determine the ideal geothermometer for estimating reservoir temperature in the Chingshui Region. Water rock interaction experiments between 100 degC to 300 degC were conducted at various durations with the longest being 60 days. The traditional experiment of a closed system was modified into a two step system by separating solid and reacted liquid during cooling. Comparison with the major elemental geothermometers and agreement with downhole temperature measurements indicate that the silica geothermometer is the most useful in assessing subsurface temperatures in the Chingshui hot springs region and in the slate environment.
A tri level programming model based on TsPSO for cabin layout selection in civil airlines
Venue: 2017 2nd International Conference on System Reliability and Safety (ICSRS)
Year: 2017

In the airlines management, cabin layout selection is an important but weak link. Most of airlines determinate cabin layout by selection from several schemes provided by aircraft manufacturers rather than quantitative analysis and comprehensive assessment, which leads to deviation from their strategic objectives. This paper proposes to establish a decision making mechanism based on strategic objectives to improve cabin layout selection process and build a quantitative analysis model according to it. For the model, we focus on layout pitch to build a nonlinear tri level programming and develop an algorithm that embed chaos search factor Chebyshev map into tsPSO (extremum disturbed and simple particle swarm optimization) for better searching globe optimality. Lastly, a case study is presented to illustrate the effectiveness of the model.
Importance of preclinical research in the development of neuroprotective strategies for ischemic stroke.
Venue: JAMA neurology
Year: 2014

Preclinical stroke research has had a remarkably low translational success rate, and the clinical need for novel neuroprotective therapeutics has gone largely unmet, especially in light of the severe underuse of thrombolysis in acute ischemic stroke.  In this review, we aim to provide a brief overview of the commonly used stroke models, their merits and shortcomings, and how these have contributed to translational failures. We review some recent developments in preclinical stroke, providing examples of how improved study quality and the use of novel methods can facilitate translation into the clinical setting.  This is a narrative review of ischemic stroke neuroprotection based on electronic database searches, references of previous publications, and personal libraries.  The stroke research community has not been complacent in its response to criticism: preclinical stroke studies now demonstrate considerable rigor, standardization, and emphasis on minimization of experimenter bias. In addition, numerous innovative methods and strategies are providing novel avenues for investigating neuroprotection, as well as more extensive characterization of established models.  The improvements in preclinical stroke models and methods will make stroke research a good example for preclinical medicine, in general, and will hopefully instill greater confidence in the clinical community regarding which compounds are worthy of further investigation in a clinical setting.
Economic impacts caused by the failure of a maritime global critical infrastructure a case study of chemical facility explosion in the Straits of Malacca and Singapore
Year: 2013

Globally shared and intensively used maritime infrastructures such as ports and straits have the potential to cause trans boundary and multi sector impacts on our society in case of disruption. This type of infrastructure can be called a "maritime global critical infrastructure (MGCI)" its disruption can be caused by various types of hazards. IRGC (2011) was first to focus on this issue, identifying critical deficits of risk governance in an MGCI and making recommendations for improvement. However, a detailed impact assessment of a major disruption to an MGCI has not been fully conducted due to various factors including the complex interrelations and mechanisms of MGCI activities and processes and their cascading impacts, the limited availability and difficulty of access to the necessary data sets at regional and global scales, the need to combine modeling approaches from various fields. In an effort to overcome some of the above challenges, this paper presents the results of a prototype economic impact assessment of an MGCI disruption scenario. The Straits of Malacca and Singapore have been selected as a representative MGCI, and an oil refinery fire and explosion in the Singapore Strait as an initiating disruption event. The impact assessment and associated sensitivity study presented here, including the scheme of price changes as a result of the increase of transportation costs, reveal the value of the Straits and ports and the requirements of a relatively fair governance scheme.
Research on Recognition Technology of Transformer Oil Leakage Based on Improved YOLOv3
Venue: 2020 International Conference on Computer Information and Big Data Applications (CIBDA)
Year: 2020

In the defect detection of transformer oil leakage, deep learning technology has been widely used. However, the application cases of image recognition for transformer oil leakage rely heavily on expensive computing resources, and lightweight computing networks have gradually received more and more attention. This paper designs a partial residual network structure based on the gradient concept combination theory, realizes the lightweight design of the model, and applies it to the application of transformer oil leakage defect detection, to a certain extent, enhances the deep convolution network learning ability. Experimental results show that, while maintaining the same accuracy as YOLOv3 model, the YOLOv3 P model can reduce the amount of parameters by 55% and reduce the amount of calculation by 35% and doubles the calculation speed compared with the YOLOv3 model. It has great practical value in engineering application of transformer oil leakage.
Large scale image retrieval with compressed Fisher vectors
Venue: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Year: 2010

The problem of large scale image search has been traditionally addressed with the bag of visual words (BOV) In this article, we propose to use as an alternative the Fisher kernel framework. We first show why the Fisher representation is well suited to the retrieval problem: it describes an image by what makes it different from other images. One drawback of the Fisher vector is that it is high dimensional and, as opposed to the BOV, it is dense. The resulting memory and computational costs do not make Fisher vectors directly amenable to large scale retrieval. Therefore, we compress Fisher vectors to reduce their memory footprint and speed up the retrieval. We compare three binarization approaches: a simple approach devised for this representation and two standard compression techniques. We show on two publicly available datasets that compressed Fisher vectors perform very well using as little as a few hundreds of bits per image, and significantly better than a very recent compressed BOV approach.
Incidence of melanoma and outcomes of longitudinal melanonychia in a cohort of cases referred to a London dermatology department
Venue: The British journal of dermatology
Year: 2019

Longitudinal melanonychia is a pigmented longitudinal band on the nail plate and may occur due to melanocyte activation, nail matrix nevus, lentigo or subungual melanoma.1 In a racially diverse community, melanonychia is a relatively common presenting complaint. However, despite this, little is known about the incidence of melanoma in longitudinal melanonychia, as well as variations in management approaches. This article is protected by copyright. All rights reserved.