nils-herrmann/clean_scirepeval huggingface dataset:
Exploring real brand meanings and goods in virtual world social interaction: Enhanced rewards, rarity, and realism
Year: 2013

In virtual worlds, real life brands develop co created meanings in social interaction involving users, platform, and marketers. Whilst research has focused on brands advertised in online venues, marketers are challenged to know how users experience brands socially and interactively in virtual worlds, and potential outcomes of those experiences. This article explores meanings of brands and branded virtual goods through user interviews from one virtual world with brands integrated into social interaction. Findings suggest positive orientations as brands aid sociability, status, and achievement. Interactions connect with avatar identity displays and social roles, enabled by platform and realism from real brand presence. Manifestations extend beyond the virtual world, and seem understood as marketer tactics. Inserted brands appear to impact user experiences with enhanced rewards, rarity, and realism.
Brain tumor detection using SVM classifier
Venue: 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)
Year: 2017

Magnetic Resonance Imaging is a standard non invasive methodology used in medical field for the analysis, diagnosis and treatment of brain tissues. The early diagnosis of brain tumor helps in saving the patients' life by providing proper treatment. The accurate detection of tumors in the MRI slices becomes a fastidious task to perform and therefore, by this proposed system, the classification and segmentation the tumor region can be done accurately. Segmentation and 3D reconstruction also uses the detection of tumor from an MR image. The manual tracing and visual exploration by doctors will be restrained in order to avoid time consumption. The brain tumor detection allows localizing a mass of abnormal cells in a slice of Magnetic Resonance (MR) using SVM Classifier and segmentation of the tumor cells to know about the size of the tumor present in that segmented area. The extracted features of the segmented portion will be trained using artificial neural network to display the type of the tumor. These features will also be used for comparing the accuracy of different classifiers in Classification learner app. The scope of this project is helpful in post processing of the extracted region like the tumor segmentation.
Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes
Venue: IEEE Transactions on Multimedia
Year: 2021

Body shape is about proportion, and fashion style is all about dressing those proportions to look their very best. Figuring out the styles to suit a body shape can be a daunting task for many people. It is, therefore, essential to develop a framework for learning the compatibility of body shapes and clothing styles. Though fashion designers and fashion stylists have analyzed the correlation between human body shapes and fashion styles for a long time, this issue did not receive much attention in multimedia science. In this paper, we present a novel style recommender, on the basis of the user's body attributes. The rich amount of fashion styling knowledge from social big data is exploited for this purpose. We first construct a joint embedding of clothing styles and human body measurements with deep multimodal representation learning on a reference dataset that has been sorted to meet the fashion rules. We then discover the relevant semantic features by propagation and selection in clothing style and body shape graphs. Experiments demonstrate the effectiveness of the proposed framework when compared with several baseline methods.
ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: A report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines
Year: 2006

It is important that the medical profession plays a significant role in critically evaluating the use of diagnostic procedures and therapies as they are introduced and tested in the detection, management, or prevention of disease states. Rigorous and expert analysis of the available data documenting absolute and relative benefits and risks of those procedures and therapies can produce helpful guidelines that improve the effectiveness of care, optimize patient outcomes, and favorably affect the overall cost of care by focusing resources on the most effective strategies. The American College of Cardiology Foundation (ACCF) and the American Heart Association (AHA) have jointly engaged in the production of such guidelines in the area of cardiovascular disease since 1980. The ACC/AHA Task Force on Practice Guidelines, whose charge is to develop, update, or revise practice guidelines for important cardiovascular diseases and procedures, directs this effort. The Task Force is pleased to have this guideline developed in conjunction with the European Society of Cardiology (ESC) Writing committees are charged with the task of performing an assessment of the evidence and acting as an independent group of authors to develop or update written recommendations for clinical practice. Experts in the subject under consideration have been selected from all 3 organizations to examine subject specific data and write guidelines. The process includes additional representatives from other medical practitioner and specialty groups when appropriate. Writing committees are specifically charged to perform a formal literature review, weigh the strength of evidence for or against a particular treatment or procedure, and include estimates of expected health outcomes where data exist. Patient specific modifiers, comorbidities, and issues of patient preference that might influence the choice of particular tests or therapies are considered as well as frequency of follow up and cost effectiveness. When available, information from studies on cost will be considered; however, review
Topology optimization for refractory plasmonic applications (Conference Presentation)
Venue: Photonic and Phononic Properties of Engineered Nanostructures IX
Year: 2019

Advanced nanophotonic concepts, such as photonic crystals, metamaterials and metasurfaces, have enabled unique functionalities including, negative refraction, hyperbolic dispersion, optical magnetism, control of quantum emitters, epsilon near zero phenomena, and enhanced light matter interactions. With the recent development of new plasmonic/photonic materials and nano fabrication techniques, nanophotonic devices are now capable of providing novel solutions to global challenges including world energy consumption, rapid and accurate chemical/biological detection, quantum computing/security, telecom information densities, and space exploration. These problems are inherently complex due to their multi disciplinary nature, requiring a manifold of stringent constraints in conjunction with optical performance. Topology optimization has emerged as a successful architect for the systematic design of photonic structures and provide solutions for aforementioned the problems. In this talk, we will highlight recent progress in the field of topology optimization for nanophotonics, share our ongoing results and observations, and discuss future research challenges and directions. In particular, we will discuss our progress in developing solar thermophotovoltaics components using topology optimization. One of the main aspects of our current work is expanding and streamlining conventional meta device design methodology to a global optimization space by 1) advancing topology optimization via artificial intelligence assisted algorithms and 2) by extending the optimization parameter space into materials domain through optical materials development and multiphysics simulations.
Research on Innovation supply chain Management in Fast Fashion Industry A comparative analysis of ZARA and H&M
Year: 2019

ZARA has succeeded in overtaking GAP as the global leader in apparel retailing through innovative supply chain management. However, in recent years, with the trend of the retail market is beginning to slump and rising consumer demand, ZARA lack of further innovation in supply chain management,It is gradually overtaken by the fast fashion enterprises which are taking H&M as the representative and continuously carrying out innovative supply chain management. The purpose of this paper is to compare and analyze the innovation supply chain management of ZARA and H&M, find out the deficiency of ZARA innovation supply chain management, and then explore some problems behind these deficiencies, and finally give a series of suggestions to solve these problems are given.
Numerical simulation of stratified waxy crude oil and water flows across horizontal pipes in the presence of wall heating
Year: 2020

In the present work, a 3D numerical study was carried out to investigate the stratified flow of waxy crude oil water through a horizontal pipe with a contraction expansion placed in its midsection. Moreover, a uniform heat flux was applied to the pipeline wall to investigate its effect on the overall pressure drop across the pipeline and the two phase flow pattern. Waxy crude oils are highly viscous fluids, and they exhibit non Newtonian viscoplastic flow behavior. The governing equations of such non Newtonian multiphase flows were discretized and solved using the finite volume method on a structured numerical grid. The volume of fluid (VOF) method was utilized to capture the oil water interface. Waxy crude oil flowed in the laminar regime while a turbulent water flow field was assumed, and it was modeled using the well known SST k o turbulence model. The effect of several parameters, such as heat flux, wax content of the crude oil, and oil inlet velocity, have been studied comprehensively. The results revealed that the overall pressure drop was extremely sensitive to the wax content. Moreover, the simulation results indicated that using a relatively low uniform heat flux can reduce the pressure drop, up to 25% Finally, it is shown that by increasing oil velocity at the inlet, pressure drop monotonically increased.
The role of IL 23 and the IL 23/TH17 immune axis in the pathogenesis and treatment of psoriasis
Venue: Journal of the European Academy of Dermatology and Venereology JEADV
Year: 2017

Psoriasis is a chronic, immune mediated disease affecting more than 100 million people worldwide and up to 2.2% of the UK population. The aetiology of psoriasis is thought to originate from an interplay of genetic, environmental, infectious and lifestyle factors. The manner in which genetic and environmental factors interact to contribute to the molecular disease mechanisms has remained elusive. However, the interleukin 23 (IL 23)/T helper 17 (TH17) immune axis has been identified as a major immune pathway in psoriasis disease pathogenesis. Central to this pathway is the cytokine IL 23, a heterodimer composed of a p40 subunit also found in IL 12 and a p19 subunit exclusive to IL 23. IL 23 is important for maintaining TH17 responses, and levels of IL 23 are elevated in psoriatic skin compared with non lesional skin. A number of agents that specifically inhibit IL 23p19 are currently in development for the treatment of moderate to severe plaque psoriasis, with recent clinical trials demonstrating efficacy with a good safety and tolerability profile. These data support the role of this cytokine in the pathogenesis of psoriasis. A better understanding of the IL 23/TH17 immune axis is vital and will promote the development of additional targets for psoriasis and other inflammatory diseases that share similar genetic aetiology and pathogenetic pathways.
A deterministic inventory model in reverse supply chain
Venue: Journal of Modelling in Management
Year: 2019

The purpose of this paper is to present a unique model for the production recycling reuse of aluminium refreshment cans. It is presumed that disposed off 250 ml aluminium cans are collected from the retail outlet. The cans are thereafter arranged into non tainted and tainted categories.  The current model considers all the factors, i.e. producing, recycling and remanufacturing, whereas the previous models provide emphasis only one factor. Six procedures were considered in the improvement of the mathematical model.  In this paper, a recycling reuse model that remanufactures non tainted aluminium beverage cans and uses regrind from damaged non tainted aluminium beverage cans mixed with parent aluminium material in the production of new cans was developed and analysed to reduce the amount of aluminium beverage cans that are disposed off in a scrapyard. The model is assumed to have no shortcomings, and the different percentages regarding the classes of cans are taken to be deterministic.  The model incorporates several unique aspects, including accounting for the cost of land use and associated environmental damage through the calculation of a present value that is charged to the manufacturer.
T230. DOSE TRENDS OF ARIPIPRAZOLE FROM 2004 TO 2014 IN PSYCHIATRIC INPATIENTS IN KOREA
Venue: Schizophrenia Bulletin
Year: 2018

The purpose of the present study was to evaluate the initial and maximum doses of aripiprazole over a decade to estimate appropriate dosage in clinical practice. We hypothesized that there was a measurable change in dosing patterns during 2004 2014 in Korean psychiatric inpatients.  In this retrospective study, we reviewed the medical records of patients who were hospitalized in the psychiatric ward of five university hospitals in Korea from March 2004 to December 2014. The patients were at least 18 years of age, prescribed aripiprazole during the index hospitalization and were given at least one prescription for oral aripiprazole. We compared baseline demographic variables among Waves 1 (2004 2006) 2 (2007 2010) and 3 (2011 2014) using univariate one way analysis of variance (ANOVA) with Bonferroni correction for continuous variables and a chi square test for categorical variables.  There was a significant difference in mean age among waves (p 0.012) The use of concomitant medications with aripiprazole was significantly different among waves, as well. The use of other atypical antipsychotics in Wave 1 was 27.0% (n 20) and 27.4% (n 55) in Wave 2 and increased to 36.5% (n 129) in Wave 3, but the difference between Waves 1 and 3 (p 0.118) and 2 and 3 (p 0.027) did not reach statistical significance after Bonferroni's correction. In total, the initial dose of aripiprazole was significantly lower in Wave 3 (7.0 3.9 mg/day) when compared to Waves 1 (10.9 4.6 mg/day, p<0.001) and 2 (10.7 5.6 mg/day, p<0.001) The initial doses of aripiprazole in all diagnostic groups were significantly lower in Wave 3 than in Wave 2.  The results from the present study show that the initial doses of aripiprazole, and not the maximum doses, decreased in hospitalized psychiatric patients with the accumulation of clinical experience in aripiprazole use.
Service Innovation: Customer Co Development bis Open Innovation for Services
Year: 2012

In diesem Kapitel wird die Rolle des New Service Development (NSD) im Rahmen der systematischen Erstellung von Dienstleistungen vorgestellt. Ein Schwerpunkt liegt hierbei auf Open Innovation Ansatzen, um einzelne Phasen im NSD zu unterstutzen. Dabei wird u. a. auf die Bedeutung von Lead Usern und deren Eigenschaften und Motive fur eine aktive Mitentwicklung an Losungen fur Dienstleistungsanbieter eingegangen. Zudem werden weitere Methoden wie Ideenwettbewerbe, Ideen Communities und Toolkits vorgestellt und den einzelnen Phasen des NSDs zugeordnet. Dabei zeigt sich, dass die Methoden des Open Innovation Ansatzes hauptsachlich in den fruhen und mittleren Phasen, vereinzelt auch in den spateren Phasen des NSD, eingesetzt werden konnen. Obwohl Open Innovation kein neuer Ansatz ist, haben sich u. a. durch die Entwicklung neuer Internettechnologien neue und vielfaltige Moglichkeiten eroffnet, Kunden aktiver einzubinden. um neue und innovative Dienstleistungen entwickeln zu konnen. Diese werden im zugrundeliegenden Kapitel naher erlautert.
An official European Respiratory Society/American Thoracic Society research statement: interstitial pneumonia with autoimmune features
Venue: European Respiratory Journal
Year: 2015

Many patients with an idiopathic interstitial pneumonia (IIP) have clinical features that suggest an underlying autoimmune process but do not meet established criteria for a connective tissue disease (CTD) Researchers have proposed differing criteria and terms to describe these patients, and lack of consensus over nomenclature and classification limits the ability to conduct prospective studies of a uniform cohort. The "European Respiratory Society/American Thoracic Society Task Force on Undifferentiated Forms of Connective Tissue Disease associated Interstitial Lung Disease" was formed to create consensus regarding the nomenclature and classification criteria for patients with IIP and features of autoimmunity. The task force proposes the term "interstitial pneumonia with autoimmune features" (IPAF) and offers classification criteria organised around the presence of a combination of features from three domains: a clinical domain consisting of specific extra thoracic features, a serologic domain consisting of specific autoantibodies, and a morphologic domain consisting of specific chest imaging, histopathologic or pulmonary physiologic features. A designation of IPAF should be used to identify individuals with IIP and features suggestive of, but not definitive for, a CTD. With IPAF, a sound platform has been provided from which to launch the requisite future research investigations of a more uniform cohort. ERS/ATS task force provides nomenclature and classification criteria for patients with IIP and autoimmune features http:/ow.ly/O7qao
Visual and instrumental shade matching using CIELAB and CIEDE2000 color difference formulas.
Venue: Dental materials official publication of the Academy of Dental Materials
Year: 2016

To compare visual and instrumental shade matching performances using two shade guides and three color difference formulas.  One hundred dental students (DS) volunteers (35 males and 65 females) with normal color vision participated in the study. The spectral reflectance of 4 extracted human upper central incisors (UCI) and shade tabs from Vita Classical (VC) and Vita Toothguide 3D Master (3D) shade guides were measured using a spectroradiometer (SP) under D65 illuminant (diffuse/0deg geometry) inside a viewing booth with a gray background. Color coordinates (CIE L* a* b* C* and hdeg) were calculated according to CIE D65 illuminant and CIE 2deg Standard Observer. Color coordinates of UCI were also evaluated using a dental spectrophotometer (EA Easyshade Advance) DS used VC and 3D to visually select the best shade match for each UCI, under same experimental conditions used for the SP evaluation. Three color difference metrics (CIELAB, CIEDE2000(1:1:1) and CIEDE2000(2:1:1) were used to calculate the best instrumental shade matching based on minimum color difference.  The agreement between visual and instrumental shade matching was greater using SP (25 75% than EA (0 25% The percentage of best match for the visual assessment was more consistent using VC (23 55% than 3D (19 34% Considering the best performance (using SP and VC) the CIEDE2000(2:1:1) color difference formula showed the best estimate to the visual perception from DS.  Within the limitations of this study, combining the use of SP, CIEDE2000(2:1:1) and Vita Classical shade guide most closely represented the visual perception of DS. Instrumental shade determination should be accompanied by experienced human visual assessment.
Culturally Responsive Instruction for English Language Learners With Learning Disabilities
Venue: Journal of learning disabilities
Year: 2014

This case study describes the culturally responsive instruction of one special education teacher with Latino English language learners (ELLs) with learning disabilities in an urban elementary school setting. This study was situated in a social constructivist research based framework. In investigating this instruction with ELLs, this study focused on how one teacher's knowledge of culturally responsive pedagogy affected her special education instruction. Findings resulted in three major themes that were aligned with the current literature in this area: Cultural Aspects of Teaching Reading, Culturally Relevant Skills Based Instruction, and Collaborative Agency Time. The results indicated that the success of special education with ELLs at the elementary education level might be dependent on how well the special education teacher integrates culturally responsive instruction with ELLs' cultural and linguistic needs.
Online and Unsupervised Anomaly Detection for Streaming Data Using an Array of Sliding Windows and PDDs
Venue: IEEE Transactions on Cybernetics
Year: 2021

In this article, we propose an online and unsupervised anomaly detection algorithm for streaming data using an array of sliding windows and the probability density based descriptors (PDDs) (based on these windows) This algorithm mainly consists of three steps: 1) we use a main sliding window over streaming data and segment this window into an array of nonoverlapping subwindows; 2) we propose the PDDs with dimension reduction, based on the kernel density estimation, to estimate the probability density of data in each subwindow; and 3) we design the distance based anomaly detection rule to determine whether the current observation is anomalous. The experimental results and performances are presented based on the Numenta anomaly benchmark. Compared with the anomaly detection algorithm using the hierarchical temporal memory proposed by Numenta (which outperforms a wide range of other anomaly detection algorithms) our algorithm can perform better in many cases, that is, with higher detection rates and earlier detection for contextual anomalies and concept drifts.
Multiscale Information Theory and the Marginal Utility of Information
Venue: Entropy
Year: 2017

Complex systems display behavior at a range of scales. Large scale behaviors can emerge from the correlated or dependent behavior of individual small scale components. To capture this observation in a rigorous and general way, we introduce a formalism for multiscale information theory. Dependent behavior among system components results in overlapping or shared information. A system's structure is revealed in the sharing of information across the system's dependencies, each of which has an associated scale. Counting information according to its scale yields the quantity of scale weighted information, which is conserved when a system is reorganized. In the interest of flexibility we allow information to be quantified using any function that satisfies two basic axioms. Shannon information and vector space dimension are examples. We discuss two quantitative indices that summarize system structure: an existing index, the complexity profile, and a new index, the marginal utility of information. Using simple examples, we show how these indices capture the multiscale structure of complex systems in a quantitative way.