nils-herrmann/clean_scirepeval huggingface dataset:
Hearing Conservation Program
Year: 2019

1. Program Description 1.1 The purpose of the University of California, Irvine (UCI) Hearing Conservation Program (HCP) is to prevent permanent noise induced hearing loss resulting from on the job noise exposure. The California Occupational Safety and Health Administration (Cal/OSHA) regulation requires employers to provide employees with proper protection against the effects of noise exposure when sound levels exceed an 8 hour time weighted average (TWA) of 90 dBA (Permisible Exposure Level PEL) The protective measures may be provided either through engineering or administrative controls. If these control measures fail to reduce the noise within the acceptable limits, personal protective equipment shall be provided and used. Additionally, whenever employee noise exposures equal or exceed an 8 hour (TWA) sound level of 85 dBA, referred to as the (Action Level AL) the employer shall develop and administer a Hearing Conservation Program.
Obscure: Information Theoretically Secure, Oblivious, and Verifiable Aggregation Queries on Secret Shared Outsourced Data Full Version
Venue: ArXiv
Year: 2020

Despite exciting progress on cryptography, secure and efficient query processing over outsourced data remains an open challenge. We develop a communication efficient and information theoretically secure system, entitled Obscure for aggregation queries with conjunctive or disjunctive predicates, using secret sharing. Obscure is strongly secure (i.e. secure regardless of the computational capabilities of an adversary) and prevents the network, as well as, the (adversarial) servers to learn the user's queries, results, or the database. In addition, Obscure provides additional security features, such as hiding access patterns (i.e. hiding the identity of the tuple satisfying a query) and hiding query patterns (i.e. hiding which two queries are identical) Also, Obscure does not require any communication between any two servers that store the secret shared data before/during/after the query execution. Moreover, our techniques deal with the secret shared data that is outsourced by a single or multiple database owners, as well as, allows a user, which may not be the database owner, to execute the query over secret shared data. We further develop (non mandatory) privacy preserving result verification algorithms that detect malicious behaviors, and experimentally validate the efficiency of Obscure on large datasets, the size of which prior approaches of secret sharing or multi party computation systems have not scaled to.
A combined texture shape descriptor for enhanced 3D feature matching
Venue: 2011 18th IEEE International Conference on Image Processing
Year: 2011

Motivated by the increasing availability of 3D sensors capable of delivering both shape and texture information, this paper presents a novel descriptor for feature matching in 3D data enriched with texture. The proposed approach stems from the theory of a recently proposed descriptor for 3D data which relies on shape only, and represents its generalization to the case of multiple cues associated with a 3D mesh. The proposed descriptor, dubbed CSHOT, is demonstrated to notably improve the accuracy of feature matching in challenging object recognition scenarios characterized by the presence of clutter and occlusions.
On the Routing Aware Peering against Network Eclipse Attacks in Bitcoin
Venue: USENIX Security Symposium
Year: 2021

Safeguarding blockchain peer to peer (P2P) networks is more critical than ever in light of recent network attacks. Bitcoin has been successfully handling traditional Sybil and eclipse attacks; however, a recent Erebus attack [57] shows that effectively eclipsing a Bitcoin node is possible when the attack is combined with a network Sybil capability; i.e. a malicious transit network can create millions or more Sybil identities. Given the immediate availability and stealthiness of the Erebus attack, Bitcoin Core has quickly implemented a few simple protocol/parameter changes to mitigate it. Our large scale evaluations of these quick patches and three similar carefully designed protocol tweaks confirm that, unfortunately, no simple solution can effectively handle the attack. This paper focuses on a more fundamental solution called routing aware peering (or RAP) a proven silver bullet in detecting and circumventing similar network adversaries in other P2P networks. However, we show that, contrary to our expectation, preventing the Erebus attacks with RAP is only wishful thinking. We discover that Erebus adversaries can exploit a tiny portion of route inference errors in any RAP implementations, which gives an asymmetric advantage to the network adversaries and renders all RAP approaches ineffective. To that end, we propose an integrated defense framework that composes the available simple protocol tweaks and RAP implementation. In particular, we show that a highly customizable defense profile is required for individual Bitcoin nodes because RAP's efficacy depends significantly on where a Bitcoin node is located on the Internet topology. We present an algorithm that outputs a custom optimal defense profile that prevents most of Erebus attacks from the top 100 large transit networks.
Clinical characteristics of challenging catheter ablation procedures in patients with WPW syndrome: A 10 year single center experience.
Venue: Journal of cardiology
Year: 2020

Catheter ablation is the established treatment for patients with symptomatic Wolff Parkinson White syndrome (WPW) However, some patients undergo a challenging ablation or have recurrences during the early post ablation phase. The aim of this study was to evaluate the clinical factors associated with an unsuccessful ablation outcome or repeated sessions.  Four hundred seventy five symptomatic consecutive WPW patients (38.2+ 16.2 years old, 61% men, 69% with pre excitation) who underwent an accessory pathway (AP) ablation from August 2005 to December 2015 were enrolled. When APs recurred, a redo ablation procedure was performed according to the patients' desire.  Four hundred thirty nine patients (92.4% were cured by ablation, but it failed in 36 (7.6% after the first procedure. Seventeen patients had AP recurrences during the acute phase within 36h post ablation. On the other hand, 4 were identified after more than one year. In a multivariate logistic regression analysis, multiple, parahisian, and broad APs were significant independent predictors of recurrences after the 1st procedure, with odds ratios of 14.88 (p<0.001) 10.14 (p<0.001) and 6.88 (p<0.001) respectively. Finally, 468 patients (98.5% received a successful ablation during a mean follow up of 8.3+ 3.0 years. However, after the final procedure no significant predictors were recognized. Out of 508 total procedures, three major (0.6% complications occurred.  Symptomatic WPW patients with multiple, parahisian, and broad APs had a significantly higher risk of recurrence. In half of the recurrence patients, AP recurrences were confirmed during the acute phase, but were rarely recorded in the very late phase.
Putrefaction Analysis of Environmental Impacts of Trade in Pakistan: Scale, Composition, and Technique Effects
Year: 2020

In this study, the dynamic nexus between environmental pollutants and trade openness has been analyzed. The impact of economic growth, energy consumption, foreign trade, and institutional quality on carbon dioxide (CO2) nitrous oxide (N2O) and greenhouse gasses (GHGs) emissions has been examined using time series data for Pakistan over the period 1970 2013. The integration properties of the variables have been investigated using ADF, PP, and DF GLS unit root tests. Autoregressive Distributed Lag (ARDL) Bounds testing approach to co integration is used for short run and long run associations among the series. We find the substantiation of Environmental Kuznets Curve (EKC) hypothesis in the long run, in case of CO2 emissions. In case of CO2 emissions, the composition and technique effects are found to have beneficial impact while the scale, trade, and energy consumption have devastating environmental effect. Trade openness has adverse effect on the environment through N2O emissions. The study suggests that energy efficiency should be improved across all sectors by introducing technically improved and green technologies.
Sensitivity analysis of offshore wind farm operation and maintenance cost and availability
Year: 2016

Operation and Maintenance (O&M) costs are estimated to account for 14% 30% of total Offshore Wind Farm (OWF) project lifecycle expenditure according to a range of studies. In this respect, identifying factors affecting operational costs and availability are vital for wind farm operators to achieve the most profitable decisions. Many OWFs are built in stages and the important factors may not be consistent for the different phases. To address this issue, three OWF case studies are defined to represent two phases and a complete project. An initial qualitative screening sensitivity analysis was conducted to identify the most important factors of O&M affecting operating cost and availability. The study concluded that the important factors for total O&M cost were access and repair costs along with failure rates for both minor and major repairs. For time based availability, the important factors identified were those related to the length of time conducting the maintenance tasks, i.e. the operation duration and the working day length. It was found that the two stages had similar results, but these were different compared to the complete project. In this case, the results provide valuable information to OWF operators during the project development and decision making process.
Design of a relief materials delivery system based on UAV
Year: 2020

The quality and efficiency of traditional rescue work are seriously affected by the destruction of roads and road traffic. In view of these existing problems, the current work investigates the delivery of relief materials using an unmanned aerial vehicle (UAV) At present, studies investigating the delivery of emergency relief materials are few, the technology is not mature, the disadvantage is bigger. In this paper, the UAV material delivery system can realize the function of automatic navigation and automatic delivery of materials. The experimental results show that, in a large number of delivery tests, 97% of deliveries contained a delivery error within 4 m, 64% of deliveries contained a delivery error within 2 m. The average delivery error was 1.86 m. The results of the experiment show that the accuracy of the UAV material delivery system is high, and the test results can provide reference for the further study of the robot.
Critical Framing in a Pedagogy of Multiliteracies
Year: 2006

Recent research and educational policies have alerted teachers to the importance of multiliteracies. Communication in society today is characterised by rapidly changing and emergent forms of meaning making in a context of increased cultural and linguistic diversity. This paper responds to these imperatives, discussing key findings of a critical ethnography concerning interactions between pedagogy and access to multiliteracies among culturally and linguistically diverse learners. Data collection involved 18 days of lesson observations in a year six classroom over 10 weeks using field and journal notes, continuous audio visual and audio recording, and the collection of cultural artefacts. Semi structured interviewing was also conducted with the teacher, principal,and students. The data analytic tools included low and high inference coding and pragmatic horizon analysis. The findings concerned the use of critical framing an important component of the multiliteracies pedagogy. The teacher's enactment of this pedagogy had a significant influence on the learners' ability to access Claymation movie designing. The conclusion addresses relevant literature concerning how to apply the multiliteracies pedagogy to enable meaningful designing.
Tourism product development and product diversification in destinations
Year: 2015

Primary tourism products are key draw cards which attract tourists to particular destinations. The diversification, intensification and linkage of these products can be crucial for the competitiveness and sustainable development of destinations. Yet these diverse features and relationships of primary tourism products in destinations are neglected in existing research. This paper develops two conceptual frameworks which assist with analyzing and understanding the features, relationships and strategic options associated with tourism product development, concentration, diversification and intensification in destinations. Tourism product features and options considered here include the development of niche and mass tourism products, parallel and integrative diversification, and thematic and spatial synergies between products. A typology of strategic options for tourism product development and assembly in destinations is presented which is based on the degree of intensification and of concentration and diversification of tourism products.
Discriminativeness Preserved Domain Adaptation for Few Shot Learning
Venue: IEEE Access
Year: 2020

Existing few shot learning (FSL) methods make the implicit assumption that the few target class samples are from the same domain as the source class samples. However, this assumption is often invalid in practice the target classes could come from a different domain. This poses an additional domain adaptation (DA) challenge with few training samples. In this article, the problem of cross domain few shot learning (CD FSL) is approached, which requires solving FSL and DA in a unified framework. To this end, we propose a novel discriminativeness preserved domain adaptive prototypical network (DPDAPN) model. It is designed to address a specific challenge in CD FSL: the DA objective means that the source and target data distributions need to be aligned, typically through a shared domain adaptive feature embedding space, but the FSL objective dictates that the target domain per class distribution must be different from that of any source domain class, meaning aligning the distributions across domains may harm the FSL performance. How to achieve global domain distribution alignment while maintaining source/target per class discriminativeness thus becomes the key. Our solution is to explicitly enhance the source/target per class separation before domain adaptive feature embedding learning in DPDAPN to alleviate the negative effect of domain alignment on FSL. Extensive experiments show that our DPDAPN outperforms the state of the art FSL and DA models, as well as their naive combinations.
The Role of Competences in Shaping the Leadership Style of Female
Year: 2017

The paper explores the leadership styles of successful UK female small business owners in light of their personal, managerial, entrepreneurial and human relation competences. Despite leadership being a critical issue in small business development, there is limited research in this area, with most past studies focusing on large corporate contexts. Additionally, the context of small female enterprises remains a terra incognita. Employing a mixed method approach, and adopting a combination of explanatory and confirmatory factor analysis, along with univariate and multivariate analyses, we make two distinct contributions to the literature. First, and for the first time, we specifically investigate the role of owners' competences in shaping leadership style among female owned business owners. Second, we present a detailed leadership profile of successful women entrepreneurs in the UK. Vassiliki Bamiatzi is Assistant Professor of Entrepreneurship and Strategy at Leeds University Business School Sally Jones is a Lecturer in Enterprise at Leeds University Business School Siwan Mitchelmore is a Lecturer in Business and Management at Bangor Business School, Bangor University Konstantinos Nikolopoulos is Professor in Decision Sciences, at Bangor Business School, Bangor University
PENGARUH MANAJEMEN WORKING CAPITAL, PANGSA PASAR, RASIO LEVERAGE DAN RASIO INTENSITAS MODAL TERHADAP PROFITABILITAS PADA PERUSAHAAN MANUFAKTUR DI BEI PERIODE 2009 2011
Year: 2013

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh manajemen working capital, pangsa pasar, rasio leverage dan rasio intensitas modal terhadap profitabilitas pada Perusahaan Manufaktur di BEI periode 2009 2011 baik secara simultan dan parsial. Variabel yang digunakan adalah rasio aktiva lancar, rasio kas, tingkat perputaran modal kerja, struktur modal, pangsa pasar, rasio leverage dan rasio intensitas modal. Populasi dalam penelitian ini adalah Perusahaan Manufaktur di BEI periode 2009 2011. Metode yang digunakan adalah purposive sampling dengan jumlah sampel 29 perusahaan yang memiliki kriteria perusahaan yang terdaftar di BEI tahun 2009 2011, mempunyai laporan keuangan yang lengkap yang dibutuhkan dalam penelitian, menggunakan mata uang rupiah, memiliki laba positif. Alat analisis dalam penelitian ini adalah regresi berganda. Hasil penelitian ini menunjukkan bahwa rasio kas dan struktur modal berpengaruh signifikan terhadap profitabilitas, sedangkan rasio aktiva lancar, tingkat perputaran modal kerja, pangsa pasar, rasio intensitas modal tidak berpengaruh signifikan terhadap profitabilitas. Tetapi secara simultan semua variabel berpengaruh signifikan terhadap profitabilitas. Variabel rasio leverage tidak dapat diuji kebenarannya dikarenakan terkendala dengan asumsi multikolinearitas.
The External Wealth of Nations Mark Ii: Revised and Extended Estimates of Foreign Assets and Liabilities, 1970 2004
Year: 2006

We construct estimates of external assets and liabilities for over 140 countries over the period 1970 2004. We describe our estimation methods and present some key features of the data, both at the country and at the global level. We focus in particular on trends in net and gross external positions, as well as on the composition of international portfolios, distinguishing between foreign direct investment, portfolio equity investment, foreign exchange reserves, and external debt. We also document the existence of a 'world net foreign asset discrepancy' (the stock counterpart to the world current account discrepancy) and identify the asset categories that account for this discrepancy.
'I don't mind watching him cum' Heterosexual men, threesomes, and the erosion of the one time rule of homosexuality
Year: 2015

In this qualitative research, conducted on 30 gay friendly, heterosexual, undergraduate men, we examine actual and hypothetical experiences of sexual threesomes, both with two women and one man (FFM) and two men and one woman (MMF) We show a cultural willingness for heterosexual men to engage in not only FFM threesomes, but also MMF threesomes. A year and a half into their university experience, seven of our participants had had at least one FFM threesome, and five of our participants had had at least one MMF threesome. We argue that this threesome experience is a component of cultural progression toward a more liberal, recreational culture of sexuality that encourages play and experimentation instead of a procreative model of sexuality. Thus, this research contributes to the growing body of literature showing that the cultural boundaries of heterosexuality are rapidly expanding for males, permitting more same sex sexual contact without triggering the one time rule of homosexuality.
LegoFormer: Transformers for Block by Block Multi view 3D Reconstruction
Venue: ArXiv
Year: 2021

Most modern deep learning based multi view 3D reconstruction techniques use RNNs or fusion modules to combine information from multiple images after encoding them. These two separate steps have loose connections and do not consider all available information while encoding each view. We propose LegoFormer, a transformer based model that unifies object reconstruction under a single framework and parametrizes the reconstructed occupancy grid by its decomposition factors. This reformulation allows the prediction of an object as a set of independent structures then aggregated to obtain the final reconstruction. Experiments conducted on ShapeNet display the competitive performance of our network with respect to the state of the art methods. We also demonstrate how the use of selfattention leads to increased interpretability of the model output.
Classroom Management and Student Interaction Interventions: Fostering Diversity, Inclusion, and Belonging in Undergraduate Economics
Year: 2020

The economics profession lacks gender and racial diversity, so interventions at the graduate and professional level have been introduced to minimize the effect of the "leaky pipeline." Since economic educators lack training in classroom management and student interaction skills, I present interventions to increase diversity and inclusion by developing a sense of belonging at the principles level. I introduce low cost interventions that target classroom management and student interactions for those who are interested in finding new ways to increase representation in undergraduate economics. To increase diversity in the economics profession we need interventions that will attract more diverse students and minimize attrition by establishing a career path.
GOBO: Quantizing Attention Based NLP Models for Low Latency and Energy Efficient Inference
Venue: 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)
Year: 2020

Attention based models have demonstrated remarkable success in various natural language understanding tasks. However, efficient execution remains a challenge for these models which are memory bound due to their massive number of parameters. We present GOBO, a model quantization technique that compresses the vast majority (typically 99.9% of the 32 bit floating point parameters of state of the art BERT models and their variants to 3 bits while maintaining their accuracy. Unlike other quantization methods, GOBO does not require fine tuning nor retraining to compensate for the quantization error. We present two practical hardware applications of GOBO. In the first GOBO reduces memory storage and traffic and as a result inference latency and energy consumption. This GOBO memory compression mechanism is plug in compatible with many architectures; we demonstrate it with the TPU, Eyeriss, and an architecture using Tensor Cores like units. Second, we present a co designed hardware architecture that also reduces computation. Uniquely, the GOBO architecture maintains most of the weights in 3b even during computation, a property that: (i) makes the processing elements area efficient, allowing us to pack more compute power per unit area, (ii) replaces most multiply accumulations with additions, and (iii) reduces the off chip traffic by amplifying on chip memory capacity.
Practicing psychologists' understanding of the athletic body ideal internalisation: Implications for classification and treatment
Year: 2020

This study explored how practicing psychologists make sense of the athletic body ideal when internalised by their clients. Utilising a grounded theory approach, we interviewed a purposive sample of nine psychologists to explore their understanding of the athletic body ideal, with a specific focus on diagnostic classification and treatment. Following grounded theory analysis, results indicated the psychologists tended to associate the athletic body ideal pursuit with positive psychological and physical benefits when it encompasses balance and flexibility. They also perceived healthy or protective factors inherent in the pursuit of the athletic body ideal. However, the psychologists perceived that when the pursuit is obsessive compulsive and rigid, functioning will be compromised. Moreover, the psychologists associated eating disorders (such as restrictive eating) and compulsive exercise with pathological athletic body ideal pursuits. These findings suggest complexity in athletic body ideal presentation across the languishing and flourishing continuum.