nils-herrmann/clean_scirepeval huggingface dataset:
Law, Privacy, and Online Dating: "Revenge Porn" in Gay Online Communities
Venue: Law Social Inquiry
Year: 2019

Nonconsensual pornography, commonly known as "revenge porn," is the dissemination of another's sexually explicit images or videos without their consent. This article explores this phenomenon in gay and bisexual male online communities. The first part reviews the current sociological and legal literature on online dating, gay culture on the Internet, and revenge porn. Then, based on a survey of gay and bisexual male dating app users, ethnographic interviews, and an analysis of platform content moderation policies, the next part makes three related points. First, it shows that gay and bisexual men who use geosocial dating apps are more frequently victims of revenge porn than both the general population and the broader lesbian, gay, and bisexual community. Second, it shows that geosocial dating apps create powerful norms of disclosure that make sharing personal information all but required. And third, it describes how gay and bisexual male users engage in privacy navigation techniques with the goal of building trust and enhancing safety. The final substantive section then shows how inadequate protections for online privacy and inadequate legal incentives for safe platform design contribute to the problem of revenge porn. The article concludes with a summary and avenues for future research.
Stents, stents actifs, ballons actifs les nouveaux outils du chirurgien vasculaire
Year: 2016

De nombreuses techniques endovasculaires ont ete developpees depuis une trentaine d'annees pour le traitement de l'arteriopathie obliterante des membres inferieurs (AOMI) L'angioplastie au ballonnet a longtemps ete la principale technique de revascularisation endoluminale. Depuis la fin des annees 1980, l'introduction d'endoprotheses metalliques ou stents a constitue une etape decisive. L'implantation systematique d'un stent s'accompagne dans certaines localisations d'une diminution de la frequence des restenoses par rapport a l'angioplastie au ballonnet. Cependant, la restenose intrastent demeure un probleme frequent et variable selon la localisation de la maladie arterielle. L'absence de perspectives realistes d'une prevention efficace des restenoses intrastent par un traitement pharmacologique traditionnel a oriente les recherches vers le developpement de strategies de prevention in situ. Depuis les annees 2000, deux therapeutiques ont emerge dans la prevention et le traitement de la restenose intrastent les ballons et les stents a liberation de medicament, dits aussi ballons et stents actifs. Ces dispositifs se caracterisent par une plateforme (stent ou ballon) une drogue inhibant la proliferation cellulaire et dans certains cas une substance facilitant la diffusion de la drogue au sein la paroi arterielle et/ou controlant son relargage. Dans cette presentation, nous allons revenir sur la physiopathologie de la restenose et sur le mecanisme d'action des dispositifs actifs. Puis nous detaillerons les principaux essais cliniques et les perspectives d'utilisation par les stents et les ballons actifs dans le traitement de l'AOMI.
Design for Change With and for Children: How to Design Digital StoryTelling Tool to Raise Stereotypes Awareness
Venue: Conference on Designing Interactive Systems
Year: 2020

Gender stereotyping in child development and education is a known issue but as yet little attention has been given to the design for change, or at least attenuate, stereotypical thinking. In our research we explored how Digital StoryTelling (DST) could support children in their awareness of negative gender stereotypes. Following a participatory design inspired approach we involved 43 participants; children and adults (teachers and experts in the domain) in three workshops with the purpose of exploring this design space. Here, we describe this full process and its outcomes: nine concepts to guide the design of a DST tool. The workflow and toolbox used during the process are instances of an approach that could be replicated in other contexts and/or to challenge other types of stereotypes. The main contribution of our research is towards the design for change with and for children. We hope that our work will inspire members of our community to address these issues.
Environmental DNA metabarcoding: Transforming how we survey animal and plant communities
Venue: Molecular ecology
Year: 2017

The genomic revolution has fundamentally changed how we survey biodiversity on earth. High throughput sequencing "HTS" platforms now enable the rapid sequencing of DNA from diverse kinds of environmental samples (termed "environmental DNA" or "eDNA" Coupling HTS with our ability to associate sequences from eDNA with a taxonomic name is called "eDNA metabarcoding" and offers a powerful molecular tool capable of noninvasively surveying species richness from many ecosystems. Here, we review the use of eDNA metabarcoding for surveying animal and plant richness, and the challenges in using eDNA approaches to estimate relative abundance. We highlight eDNA applications in freshwater, marine and terrestrial environments, and in this broad context, we distill what is known about the ability of different eDNA sample types to approximate richness in space and across time. We provide guiding questions for study design and discuss the eDNA metabarcoding workflow with a focus on primers and library preparation methods. We additionally discuss important criteria for consideration of bioinformatic filtering of data sets, with recommendations for increasing transparency. Finally, looking to the future, we discuss emerging applications of eDNA metabarcoding in ecology, conservation, invasion biology, biomonitoring, and how eDNA metabarcoding can empower citizen science and biodiversity education.
The landscape of customer engagement in hospitality and tourism: a systematic review
Year: 2020

This paper aims to deliver a systematic review of customer engagement in hospitality and tourism by synthesising existing literature, thus presenting a state of art landscape of customer engagement research.,A total of 173 peer reviewed articles were collected from seven databases, spanning from 2007 to 2020. A systematic review was conducted by analysing, categorizing and synthesising existing studies to examine the evolution, conceptual nature, typology and measurement of the existing literature on customer engagement in hospitality and tourism.,This study provides an overview of the temporal, spatial, sectoral and journal wise distribution of customer engagement in hospitality and tourism. A comprehensive definition of customer engagement is proposed based on five fundamental propositions. Scrutiny of customer engagement studies in hospitality and tourism presents four sub forms, including online customer engagement, tourist engagement, customer brand engagement and customer engagement behaviour. Additionally, the research methods, dimensionality and measurement scales of customer engagement are systematically reviewed.,This study is the first systematic review of customer engagement research in the field of hospitality and tourism. The original definition leads to an improved understanding of customer engagement. This study is also the first to propose a clear typology of customer engagement to enhance consistency in usage.
A Millimeter Wave Beam Steering Lens Antenna With Reconfigurable Aperture Using Liquid Crystal
Venue: IEEE Transactions on Antennas and Propagation
Year: 2019

For the first time, a liquid crystal (LC) filled lens antenna is investigated for beam steering in this paper. The LC's anisotropy is applied inside a semicircular shaped parallel plate waveguide to achieve a deflection of the propagating electromagnetic wave at the interface of lower and higher permittivities. Using an electrode network, the direction of the sector of higher permittivity can be adjusted and, therefore, so can the beam direction. The main advantage of this antenna concept is that neither phase shifters nor switching networks are needed, resulting in a very simple approach for beam steering. Operating at $V$ band, from 50 to 75 GHz, the first demonstrator proves the antenna concept by reconfiguring the beam in predefined directions of 30deg, 0deg, and +30deg to simplify the electrode biasing network. Furthermore, it is feasible and being demonstrated to adjust the beamwidth and to generate multiple beams. In the measurements, the antenna exhibits a measured input reflection below 10 dB over the complete frequency range. For the unsteered radiation pattern, the sidelobe level is between 8 and 12 dB, whereas these values degrade to 4.5 to 6 dB for the steered radiation pattern at 30deg. The measured gain is between 13 and 15 dBi.
AVA: A Video Dataset of Spatio Temporally Localized Atomic Visual Actions
Venue: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Year: 2018

This paper introduces a video dataset of spatio temporally localized Atomic Visual Actions (AVA) The AVA dataset densely annotates 80 atomic visual actions in 437 15 minute video clips, where actions are localized in space and time, resulting in 1.59M action labels with multiple labels per person occurring frequently. The key characteristics of our dataset are: (1) the definition of atomic visual actions, rather than composite actions; (2) precise spatio temporal annotations with possibly multiple annotations for each person; (3) exhaustive annotation of these atomic actions over 15 minute video clips; (4) people temporally linked across consecutive segments; and (5) using movies to gather a varied set of action representations. This departs from existing datasets for spatio temporal action recognition, which typically provide sparse annotations for composite actions in short video clips. AVA, with its realistic scene and action complexity, exposes the intrinsic difficulty of action recognition. To benchmark this, we present a novel approach for action localization that builds upon the current state of the art methods, and demonstrates better performance on JHMDB and UCF101 24 categories. While setting a new state of the art on existing datasets, the overall results on AVA are low at 15.8% mAP, underscoring the need for developing new approaches for video understanding.
Fully Non autoregressive Neural Machine Translation: Tricks of the Trade
Venue: FINDINGS
Year: 2021

Fully non autoregressive neural machine translation (NAT) simultaneously predicts tokens with single forward of neural networks, which significantly reduces the inference latency at the expense of quality drop compared to the Transformer baseline. In this work, we target on closing the performance gap while maintaining the latency advantage. We first inspect the fundamental issues of fully NAT models, and adopt dependency reduction in the learning space of output tokens as the primary guidance. Then, we revisit methods in four different aspects that have been proven effective for improving NAT models, and carefully combine these techniques with necessary modifications. Our extensive experiments on three translation benchmarks show that the proposed system achieves the state of the art results for fully NAT models, and obtains comparable performance with the autoregressive and iterative NAT systems. For instance, one of the proposed models achieves 27.49 BLEU points on WMT14 En De with 16.5x speed up compared to similar sized autoregressive baseline under the same inference condition. The implementation of our model is available here1.
Identifiability of Dynamical Networks With Partial Node Measurements
Venue: IEEE Transactions on Automatic Control
Year: 2019

Much recent research has dealt with the identifiability of a dynamical network in which the node signals are connected by causal linear transfer functions and are excited by known external excitation signals and/or unknown noise signals. A major research question concerns the identifiability of the whole network topology and all transfer functions from the measured node signals and external excitation signals. So far all results on the identifiability of the whole network have assumed that all node signals are measured. This paper presents the first results for the situation where not all node signals are measurable, under the assumptions that, first, the topology of the network is known, and, second, each node is excited by a known external excitation. Using graph theoretical properties, we show that the transfer functions that can be identified depend essentially on the topology of the paths linking the corresponding vertices to the measured nodes. A practical outcome is that, under those assumptions, a network can often be identified using only a small subset of node measurements.
Voluntary drinking and hydration in trained, heat acclimatized girls exercising in a hot and humid climate
Venue: European Journal of Applied Physiology
Year: 2008

This study examined the effects of beverage composition on the voluntary drinking pattern, body fluid balance and body temperature responses of heat acclimatized trained girls exercising intermittently in outdoor conditions (WBGT 30.9 0.2degC) Twelve trained, heat acclimatized girls (age 10.6 0.2 years) performed three 3 h sessions, each consisting of four 20 min cycling bouts at 60% VO2max, alternating with 25 min rest. One of three beverages was assigned: unflavored water (W) flavored water (FW) or flavored water plus 6% carbohydrate and 18 mmol/l NaCl (CNa) Drinking was ad libitum. Total intake was similar among conditions (W 953.3 107.8 FW 1026.5 138.1; CNa 906.4 107.5 g) A mild hypohydration occurred during the three conditions (W 1.12% FW 0.95% CNa 0.74% BW, P 0.05) Sweat loss, higher than previously reported for sedentary girls, was not different among conditions (W 1,051.5 90.8; FW 979.9 72.8; CNa 1,052.7 52.6 g) The average amount of urine produced (W 269.8 85.9; FW 320.8 87.2; CNa 85.6 9.3 g) was 73 and 68% higher during FW and W, respectively, compared to CNa (CNa vs. FW, P 0.05) The increase in rectal temperature, heart rate and all perceptual variables did not differ among conditions. In conclusion, flavoring of the water and addition of 6% carbohydrate plus 18 mmol/l NaCl do not prevent mild hypohydration in trained, heat acclimatized girls with high sweating rates. However, there is a tendency towards a greater fluid retention with the CNa beverage.
The Role of Profitability on Dividend Policy in Property and Real Estate Registered Subsector Company in Indonesia
Year: 2020

Nowadays, the company's dividend payout policy is the subject of much analysis and debate among financial practitioners. In the business phenomenon that occurs, there are several factors influence the company in carrying out its dividend policy, including financial performance. The company's financial performance reflected in financial ratios, such as leverage and firm size. The purpose of this study was to determine the role of profitability on dividend policy in listed property and real estate sub sector companies in Indonesia for the period 2012 2019. Furthermore, the focus of this study is to examine profitability in mediating the effect of leverage and firm size on company dividend policy. The research method in this study uses a quantitative approach. The data were processed and analyzed statistically using Eviews v.10 software. The main results in this study reveal that profitability mediates the effect of leverage and firm size on dividend policy positively and significantly. Contribution of the results of this study to company management as input for developing dividend policies to safeguard shareholders' wealth by considering the company's profits and the benefits of investing for shareholders.
Segmentation Propagation in ImageNet
Venue: ECCV
Year: 2012

ImageNet is a large scale hierarchical database of object classes. We propose to automatically populate it with pixelwise segmentations, by leveraging existing manual annotations in the form of class labels and bounding boxes. The key idea is to recursively exploit images segmented so far to guide the segmentation of new images. At each stage this propagation process expands into the images which are easiest to segment at that point in time, e.g. by moving to the semantically most related classes to those segmented so far. The propagation of segmentation occurs both (a) at the image level, by transferring existing segmentations to estimate the probability of a pixel to be foreground, and (b) at the class level, by jointly segmenting images of the same class and by importing the appearance models of classes that are already segmented. Through an experiment on 577 classes and 500k images we show that our technique (i) annotates a wide range of classes with accurate segmentations; (ii) effectively exploits the hierarchical structure of ImageNet; (iii) scales efficiently; (iv) outperforms a baseline GrabCut  initialized on the image center, as well as our recent segmentation transfer technique [2] on which this paper is based. Moreover, our method also delivers state of the art results on the recent iCoseg dataset for co segmentation.
Sensorineural hearing loss identification via nine layer convolutional neural network with batch normalization and dropout
Venue: Multimedia Tools and Applications
Year: 2018

Traditional sensorineural hearing loss identification use the framework of feature extraction and classification. Nevertheless, this framework needs manual feature engineering. In this study, we proposed an improved convolutional neural network model to identify hearing loss. Our nine layer deep convolutional neural network contains six conv layers and three fully connected layers. We used batch normalization to reduce the impact caused by Internal Covariate shift and dropout techniques to prevent over fitting to increase the performance in terms of accuracy. Data augmentation was used to enlarge the size of training set. The average results of 10 runs on test set show our method secured sensitivities of left sided hearing loss, right sided hearing loss, and healthy controls are 96.33 2.46% 96.67 2.22% and 96.67 2.72% respectively. The overall accuracy of all three classes was 96.56 0.63% Deep learning can effectively build the identification model. The performance of our proposed nine layer convolutional neural network model yields better performance than five state of the art approaches.
Implementasi hukuman sebat di bandar Bireuen, Nanggroe Aceh Darussalam, Indonesia Hasir Budiman Ritonga
Year: 2013

Kajian ini bertajuk "Implementasi Hukuman Sebat di Bandar Bireuen Nanggroe Aceh Darussalam Indonesia." Objektif kajian ini ialah untuk mengkaji kaedah pelaksanaan hukuman sebat di bandar Bireuen, mengenal pasti masalah yang dihadapi dalam pelaksanaan hukuman sebat dan untuk mengetahui pendirian Penguatkuasa Kanun Jenayah di bandar Bireuen terhadap pelaksanaan hukuman sebat di tersebut. Metode yang digunakan dalam kajian ini iaitu metode analisis kualitatif dengan mengambil data dari sumber primer dan sekunder. Data diperoleh dari sumber primer dengan menggunakan kajian kes dan temubual. Manakala data yang diperoleh dari sumber sekunder dari bahan bahan bercetak seperti buku buku, risalah, kertas kerja ilmiah, artikel ilmiah, akhbar dan jurnal. Hasil kajian mendapati bahawa kaedah pelaksanaan hukuman sebat di Bireuen sesuai dengan kaedah dalam Perundangan Islam. Namun terdapat masalah dan cabaran yang dihadapi dalam pelaksanaan hukuman sebat tersebut. Di antara masalah yang dihadapi iaitu dana dan kemudahan yang terhad, kanun jenayah yang kurang sempurna dan wujudnya diskriminasi (ketidakadilan) pelaksanaan hukuman sebat di masyarakat. Manakala cabarannya iaitu kurangnya kefahaman masyarakat terhadap kandungan Kanun Jenayah dan wujudnya penolakan dari beberapa organisasi masyarakat terhadap pelaksanaan hukuman sebat di Bireuen. Sementara itu, Penguatkuasa Kanun Jenayah sangat menyokong pelaksanaan hukuman sebat di bandar Bireuen.
Sistem Informasi Pemasaran Busana Syar'i dengan Penerapan Customer Relationship Management (CRM) Berbasis Web
Venue: INTECOMS: Journal of Information Technology and Computer Science
Year: 2019

Toko Cahaya Sunnah is a business that produces and sells syar'i clothing. In its business development, Toko Cahaya Sunnah keep trying to expand its market target to out of town even all of Indonesia. To achieve its goal, Toko Cahaya Sunnah requires website. Currently in Toko Cahaya Sunnah in making sales report is still manual using excel application so that data processing of sales report still running slow and not yet detailed. Currently Toko Cahaya Sunnah does not have any special activities or strategies that handle marketing, product marketing is done in a conventional manner by providing customers with information about places, features and products to other potential customers. Ineffective information dissemination prevents customers from knowing the latest information in the Sunnah Light Store thus affecting customers to switch to other stores. With the website using the method of Customer Relationship Management (CRM) then the data storage process can be more accurate and stored neatly and making sales reports will be fast and timely and delivery of promotional information will be faster and response to sales will be faster.  Information System, Customer Relationship Management (CRM) Web
Student Loan Nudges: Experimental Evidence on Borrowing and Educational Attainment
Venue: American Economic Journal: Economic Policy
Year: 2019

We provide the first experimental evidence on the effect of student loans on educational attainment. Loan amounts listed in financial aid award letters "offers" do not alter students' choice sets but significantly affect borrowing. Students randomly receiving a nonzero offer were 40 percent more likely to borrow than those who received a $0 offer. Per additional borrower, loans increased by $4,000, GPA and completed credits increased by 30 percent, and transfers to four year public colleges increased by 11 percentage points. Cost benefit and theoretical analyses suggest nonzero offers enhance welfare, yet over five million students are not currently offered loans.
Assessing Intercultural Communicative Competence in College English Teaching
Year: 2014

Interculturalcompetence is a concept that seems to be transparent, universally accepted,understood and used, but which has received many differing definitions andnever been assessed comprehensively inside and outside academia. In the settingof intercultural competence acquisition in college English teaching, this paperidentifies cultural knowledge, attitudes toward other cultures and culturebehavior as the three components of intercultural competence and discusses themethods of assessing them respectively. College students' competence in interculturalcommunication should be evaluated in both a summative and a formative way withthe combined use of written test and formative assessment methods likeperformance evaluation and portfolio assessment.