nils-herrmann/clean_scirepeval huggingface dataset:
Surface approximation discrete varifolds and regularized first variation
Year: 2015

Shape visualization and processing are fundamental tasks in many fields from mechanical engineering to physics, biology, chemical engineering, medicine, astronomy, etc. and are the subject of very active research in image processing and computer graphics. For there is a huge variety of applications and a large variety of capture systems, there are many discrete models for representing a shape: point clouds, meshes, pixel/voxel representations, splines, level sets representations, etc. All these models carry very different informations, and it is hopeless to look after equivalence relations between them. It makes sense however to try to look at all these models in a common framework, possibly weaker, which would provide a common formalism for studying a large variety of both discrete and continuous shapes. Such a common framework has been proposed in [Bue14, Bue15] the class of varifolds. Varifolds have been introduced by Almgren in 1965 [Alm65] to study the existence of critical points of the area functional. They have several nice properties in a variational context: compactness, mass continuity, criteria of rectifiability, a notion of multiplicity, and a weak notion of curvature called the first variation [All72, Sim83] In addition, the varifold structure is flexible enough to describe not only classical continuous objects as curves, surfaces, rectifiable sets, etc. but also "discrete" objects like meshes, point clouds, volumetric representations. etc. Previous contributions in the literature also involve tools from geometric measure theory to define a convenient notion of curvature or to study more generally discrete surface approximation. For instance, a unified notion of curvature measure valid both for surfaces and their discrete approximations, and based on normal cycles, is introduced in [CSM06] First defined for surfaces and triangulations [Mor08] it has been recently extended in [CCLT09] to more general discretizations like point clouds. The accuracy of the approximation of the surface is measured in terms of Hausdorff distance while the error between the curvature measure of the surface and the curvature measure of the approximation is controlled in terms of the Bounded Lipschitz distance which is similar to the Wasserstein distance. Shape comparison is another application of geometric measure theory: Charon and Trouve[CT13] endow triangulated surfaces with a varifold structure, and define a distance between varifolds, both computable from a numerical point of view and adapted to shape matching. In the first section of this paper, we follow [Bue15] and introduce discrete volumetric varifolds and point cloud varifolds to represent both volumetric surface models and point clouds. We study convergence issues, and in particular, in Theorem 2.6 we estimate in terms of the Bounded Lipschitz distance the quality of the approximation of rectifiable varifolds by either discrete volumetric varifolds or point cloud varifolds.
Comparative psychometric properties of the BACS and RBANS in patients with schizophrenia and schizoaffective disorder
Venue: Schizophrenia Research
Year: 2008

There has been a recent impetus to develop short and portable instruments for the cognitive assessment of patients with schizophrenia in clinical settings, but direct comparative data are lacking. The objectives of the present study were to compare the psychometric properties of two such batteries, the BACS (Brief Assessment of Cognition in Schizophrenia) and the RBANS (Repeatable Battery for the Assessment of Neuropsychological Status) METHODS The French version of the BACS and the RBANS was administered to 36 patients with schizophrenia and schizoaffective disorder, and 14 healthy controls. A subgroup of patients was also tested with a standard battery (WAIS III) RESULTS Both instruments were easily administrable. Internal consistency was satisfying (global scale reliability alphas of 0.90 for the BACS, and 0.87 for the RBANS) although some sub scores from the RBANS decreased the overall consistency of the instrument. BACS and RBANS composite scores were highly correlated to verbal, non verbal and total WAIS III scores (BACS: r=0.727, 0.865 and 0.857, respectively; RBANS: r=0.843, 0.747 and 0.875, respectively) Patients underperformed controls by a magnitude of 1.81 SD (BACS) and 0.78 SD (RBANS) after adjusting for education. Both batteries showed good test retest reliability, except for three sub scores from the RBANS.  The psychometric properties and ease of use of the BACS and the RBANS were overall satisfying. The BACS demonstrated better internal consistency and test retest reliability than the RBANS and was nominally more sensitive to diagnosis.
Cyanotoxins: Bioaccumulation and Effects on Aquatic Animals
Venue: Marine drugs
Year: 2011

Cyanobacteria are photosynthetic prokaryotes with wide geographic distribution that can produce secondary metabolites named cyanotoxins. These toxins can be classified into three main types according to their mechanism of action in vertebrates: hepatotoxins, dermatotoxins and neurotoxins. Many studies on the effects of cyanobacteria and their toxins over a wide range of aquatic organisms, including invertebrates and vertebrates, have reported acute effects (e.g. reduction in survivorship, feeding inhibition, paralysis) chronic effects (e.g. reduction in growth and fecundity) biochemical alterations (e.g. activity of phosphatases, GST, AChE, proteases) and behavioral alterations. Research has also focused on the potential for bioaccumulation and transferring of these toxins through the food chain. Although the herbivorous zooplankton is hypothesized as the main target of cyanotoxins, there is not unquestionable evidence of the deleterious effects of cyanobacteria and their toxins on these organisms. Also, the low toxin burden in secondary consumers points towards biodilution of microcystins in the food web as the predominant process. In this broad review we discuss important issues on bioaccumulation and the effects of cyanotoxins, with emphasis on microcystins, as well as drawbacks and future needs in this field of research.
SimilarAPI: Mining Analogical APIs for Library Migration
Venue: 2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE Companion)
Year: 2020

Establishing API mappings between libraries is a prerequisite step for library migration tasks. Manually establishing API mappings is tedious due to the large number of APIs to be examined, and existing methods based on supervised learning requires unavailable already ported or functionality similar applications. Therefore, we propose an unsupervised deep learning based approach to embed both API usage semantics and API description (name and document) semantics into vector space for inferring likely analogical API mappings between libraries. We implement a proof of concept website SimilarAPI (https:/similarapi.appspot.com) which can recommend analogical APIs for 583,501 APIs of 111 pairs of analogical Java libraries with diverse functionalities.
The Consumer Decision Making Style Influencing SKU Rationalization within Higher Education Institutions in Amphoe Mueang, Nakhon Pathom
Year: 2020

The Consumer Decision Making Style Influencing SKU Rationalization within Higher Education Institutions in Amphoe Mueang, Nakhon Pathom Corresponding Author e mail: nathawan.aom@gmail.com  Currently, convenience store business is a modern retail business with the most market share from the traditional retailers. The major cause of changes is changing the lifestyle of consumers which currently exphasizes on convenient and modernity of lifestyles, high quality and variety of products, quick services, rushing through life, and size of family changed to a small size which lead to change in consumer behavior. Furthermore, consumers may buy more products from convenience stores in the future, thus, the convenience store business has a high expansion and competitive rate to compete for market share. Effective management is a key factor that makes the convenience store business success by modifying strategies in various fields to change the consumption habits of the target audience in order to meet the needs of consumers and the sustainable competitiveness. Inventory management is one of the key strategies of logistics that will enhance the competitiveness of the convenience store business. Furthermore, convenience stores have restrictions on the size of the area (limited space) resulting in the selection of products to be sold, which regards to consumer demands. The selection of products that do not meet the needs of consumers which makes the goods unable to be sold out at the right amount, resulting in excessive inventory. According to the previous studies (Malinowski, Karwana, Sunb Pintoc, 2018; Hubner, 2017) selecting products the can meets Journal of Multidisciplinary in Social Sciences (September December 2019) 15(3) 87
Training Sources 3 D Normalized Pose Space 2 D Normalized Pose Space KD Tree Input Image 2 D Pose Estimation 3 D Pose Reconstruction Retrieved 3 D Nearest Neighbours Motion Capture Dataset Annotated 2
Year: 2017

In this work we address the challenging problem of 3D human pose estimation from single images. Recent approaches learn deep neural networks to regress 3D pose directly from images. One major challenge for such methods, however, is the collection of training data. Specifically, collecting large amounts of training data containing unconstrained images annotated with accurate 3D poses is infeasible. We therefore propose to use two independent training sources. The first source consists of accurate 3D motion capture data, and the second source consists of unconstrained images with annotated 2D poses. To integrate both sources, we propose a dual source approach that combines 2D pose estimation with efficient 3D pose retrieval. To this end, we first convert the motion capture data into a normalized 2D pose space, and separately learn a 2D pose estimation model from the image data. During inference, we estimate the 2D pose and efficiently retrieve the nearest 3D poses. We then jointly estimate a mapping from the 3D pose space to the image and reconstruct the 3D pose. We provide a comprehensive evaluation of the proposed method and experimentally demonstrate the effectiveness of our approach, even when the skeleton structures of the two sources differ substantially.
Model Free Model Reconciliation
Venue: IJCAI
Year: 2019

Designing agents capable of explaining complex sequential decisions remains a significant open problem in human AI interaction. Recently, there has been a lot of interest in developing approaches for generating such explanations for various decision making paradigms. One such approach has been the idea of explanation as model reconciliation. The framework hypothesizes that one of the common reasons for a user's confusion could be the mismatch between the user's model of the agent's task model and the model used by the agent to generate the decisions. While this is a general framework, most works that have been explicitly built on this explanatory philosophy have focused on classical planning settings where the model of user's knowledge is available in a declarative form. Our goal in this paper is to adapt the model reconciliation approach to a more general planning paradigm and discuss how such methods could be used when user models are no longer explicitly available. Specifically, we present a simple and easy to learn labeling model that can help an explainer decide what information could help achieve model reconciliation between the user and the agent with in the context of planning with MDPs.
Incontinence urinaire apres prostatectomie ouverte ou laparoscopique pour cancer prostatique localise. Une revue de la litterature
Year: 2010

Resume But Evaluer la continence urinaire apres prostatectomie. Materiels et methode Revue de series recentes de prostatectomies totales (PT) evaluant la continence postoperatoire. Resultats Dans les sept series analysees, la continence variait entre 63,6 et 91,9 L'evaluation postoperatoire etait differente pour chaque etude. Les facteurs objectifs pad test contrairement aux autoquestionnaires, faciliteraient les comparaisons. Les facteurs pronostiques carcinologiques ne semblaient pas impliques directement. Les facteurs de risque preoperatoire d'incontinence retrouves etaient l'age, , les antecedents de resection prostatique transuretrale (RTUP) ou de chirurgie pelvienne. Les facteurs peroperatoires, temoignant des difficultes operatoires, pourraient avoir des consequences fonctionnelles. La preservation du col accelererait la recuperation mais pas les resultats fonctionnels. La duree de sondage et la reeducation auraient une influence.  La comparabilite de ces etudes a ete difficile car les techniques chirurgicales, les caracteristiques des groupes et l'evaluation etaient differents. De nombreux facteurs de risque ont ete retrouves mais de facon non consensuelle.
Multi ferroic and magnetoelectric materials and interfaces
Venue: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Year: 2011

The existence of multiple ferroic orders in the same material and the coupling between them have been known for decades. However, these phenomena have mostly remained the theoretical domain owing to the fact that in single phase materials such couplings are rare and weak. This situation has changed dramatically recently for at least two reasons: first, advances in materials fabrication have made it possible to manufacture these materials in structures of lower dimensionality, such as thin films or wires, or in compound structures such as laminates and epitaxial layered heterostructures. In these designed materials, new degrees of freedom are accessible in which the coupling between ferroic orders can be greatly enhanced. Second, the miniaturization trend in conventional electronics is approaching the limits beyond which the reduction of the electronic element is becoming more and more difficult. One way to continue the current trends in computer power and storage increase, without further size reduction, is to use multi functional materials that would enable new device capabilities. Here, we review the field of multi ferroic (MF) and magnetoelectric (ME) materials, putting the emphasis on electronic effects at ME interfaces and MF tunnel junctions.
Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data
Venue: IEEE Internet of Things Journal
Year: 2018

The on street parking system is an indispensable part of civic projects, as it provides travelers and shoppers with parking spaces. With the recent in ground sensors deployed throughout the Melbourne central business district (CBD) there is a significant problem on how to use the sensor data to manage parking violations and issue infringement notices efficiently in a short time window. In this paper, we use a large real world dataset with on street parking sensor data from the local city council, and establish a formulation of the traveling officer problem with a general probability based model. We propose two solutions using a spatio temporal probability model for parking officers to maximize the number of infringing cars caught with limited time cost. Using real world parking sensor data and Google Maps road network information, the experimental results show that our proposed algorithms outperform the existing patrolling routes.
Visualization in Medicine: Theory, Algorithms, and Applications
Year: 2007

Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results? and the clinical evaluation of the applications (are the techniques useful? It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons. A core field of visualization and graphics missing a dedicated book until now Written by pioneers in the field and illustrated in full color Covers theory as well as practice
Dissolution behavior of SUS304 stainless steel into Fe Cr Ni B C alloy
Year: 2017

As a consequence of severe accident in Fukushima Dai ichi nuclear power plant, the fuel debris was formed at the bottom of reactor container due to the reaction between the dropping corium and structural stainless steel. To assess the access route to the fuel debris for its removal, corrosion condition of the structural stainless steel should be well understood. In this study, the SUS304 stainless steel and Fe Cr Ni B C alloy were employed to investigate the corrosion behavior. By immersion experiment, the diffusion coefficient of boron into the SUS304 stainless steel was estimated. The dissolution time of SUS304 stainless steel rod into the liquid alloy was predicted.
The Use of Polarization dependent SERS from Scratched Gold Films to Selectively Eliminate Solution phase Interference
Year: 2007

Polarization dependent surface enhanced Raman scattering (SERS) was studied for oxazine 720 molecules adsorbed on a scratched gold surface placed in situ and under electrochemical control. A quantitative method for evaluating the observed polarization dependence will be introduced. This method takes into account the polarization artifacts caused by optical elements in the light microscope used for Raman microscopy. Intensity of the SERS obtained from oxazine 720 adsorbed on scratches in gold showed a polarization dependence after correction was made for these artifacts. In contrast, intensity of the ordinary Raman signal obtained from perchlorate ions in the solution above a scratched gold surface was found to be polarization independent. Therefore, polarization effects can be used to selectively remove solution phase interference signals from the SERS spectrum of an adsorbed analyte. These polarization effects were found to be independent of the applied potential, meaning the methodology is applicable to electrochemical SERS studies.
Revolution in Sales: The Impact of Social Media and Related Technology on the Selling Environment
Year: 2012

Over the years several articles have tracked the impact of technology on various aspects of the sales domain. However, the advent of social media and technologies related to social media has gone largely unnoticed in the literature. This article first provides brief attention to changing aspects of technology within the sales environment, leading to the identification of social media as a dominant new selling tool. A qualitative approach (focus groups) is employed to explore the breadth of current technology usage by sales managers and salespeople. Analysis of the data, collected in the United States and the United Kingdom, reveals six major themes: connectivity, relationships, selling tools, generational, global, and sales/ marketing interface. Results provide evidence of a revolution in the buyer seller relationship that includes some unanticipated consequences both for sales organization performance and needed future research contributions.
A Network Pharmacology Study on the Active Ingredients and Potential Targets of Tripterygium wilfordii Hook for Treatment of Rheumatoid Arthritis
Venue: Evidence based complementary and alternative medicine eCAM
Year: 2019

Traditional Chinese medicine has specific effect on some chronic diseases in clinic, especially in rheumatic diseases. Tripterygium wilfordii Hook (TWH) is a traditional Chinese medicine commonly used in the treatment of rheumatoid arthritis (RA) the unique therapeutic effect has been confirmed by a large number of research papers. TWH has many compounds that lead to its active compounds. However, the potential targets and pharmacological and molecular mechanism of its action treatment of rheumatic diseases are not entirely clear. Therefore, the network pharmacology approach is needed to further study and explore its treatment mechanism. We have successfully set up 10 networks, including four major networks and other networks. Four major networks include rheumatoid arthritis disease network, compound compound target network of TWH, TWH compound target rheumatoid arthritis disease network, and TWH rheumatoid arthritis disease mechanism network. Other networks consist of RA disease and TWH related targets clusters, biological processes, and pathways network. Our study successfully predicted, explained, and confirmed the TWH of RA disease molecular synergy and found the potential of RA related targets, cluster, biological process, and pathways. This study not only provides prompts to the researcher who explores pharmacological and biological molecular mechanism of TWH applying to RA disease, but also proves a feasible method for discovering potential activated compounds from Chinese herbs.
Coupled GAN With Relativistic Discriminators for Infrared and Visible Images Fusion
Venue: IEEE Sensors Journal
Year: 2021

Infrared and visible images are a pair of multi source multi sensors images. However, the infrared images lack structural details and visible images are impressionable to the imaging environment. To fully utilize the meaningful information of the infrared and visible images, a practical fusion method, termed as RCGAN, is proposed in this paper. In RCGAN, we introduce a pioneering use of the coupled generative adversarial network to the field of image fusion. Moreover, the simple yet efficient relativistic discriminator is applied to our network. By doing so, the network converges faster. More importantly, different from the previous works in which the label for generator is either infrared image or visible image, we innovatively put forward a strategy to use a pre fused image as the label. This is a technical innovation, which makes the process of generating fused images no longer out of thin air, but from "existence" to "excellent." The extensive experiments demonstrate the proposed RCGAN can produce a faithful fused image, which can efficiently persevere the rich texture from visible images and thermal radiation information from infrared images. Compared with traditional methods, it successfully avoids the complex manual designed fusion rules, and also shows a clear advantages over other deep learning based fusion methods.
We are all in it together.
Venue: Nursing standard (Royal College of Nursing (Great Britain) 1987)
Year: 2009

One of the most commonly heard phrases today is, "We're all in this together." From high level leaders to local school board members to teen agers offering service, this is the mantra of our time. This mantra makes visible what, until lately, has been invisible: community, the web of our interconnections, the safety net of caring that we extend to one another when life is hard. Fortunately, more people now are discovering that humans only persevere through difficulties when we're truly together.
Topic Segmentation with a Structured Topic Model
Venue: NAACL
Year: 2013

We present a new hierarchical Bayesian model for unsupervised topic segmentation. This new model integrates a point wise boundary sampling algorithm used in Bayesian segmentation into a structured topic model that can capture a simple hierarchical topic structure latent in documents. We develop an MCMC inference algorithm to split/merge segment(s) Experimental results show that our model outperforms previous unsupervised segmentation methods using only lexical information on Choi's datasets and two meeting transcripts and has performance comparable to those previous methods on two written datasets.