nils-herrmann/clean_scirepeval huggingface dataset:
An investor sentiment reward based trading system using Gaussian inverse reinforcement learning algorithm
Venue: Expert Syst. Appl.
Year: 2018

Investor sentiment has been shown as an important factor that influences market returns, and a number of profitable trading systems have been proposed by taking advantage of investor sentiment signals. In this paper, we aim to design an investor sentiment reward based trading system using Gaussian inverse reinforcement learning method. Our hypothesis is that while markets interact with investor's sentiment, there exists an intrinsic mapping between investor's sentiment and market conditions revealing future market directions. We propose an investor sentiment reward based trading system aimed at extracting only signals that generate either negative or positive market responses. Such a reward extraction mechanism is based not only on market returns but also market volatility representing a succinct and robust feature space. The back test results show that the proposed sentiment reward based trading system is superior to various benchmark strategies on S&P 500 index and market based ETFs as well as few other existing news sentiment based trading signals. Moreover, we find that sentiment reward trading system is much more effective in a volatile market, but it is sensitive to transaction costs.
Modeling Intelligent Control Switch IEC 61850 Based Substation Automation Communication
Year: 2018

With the advent of the new information technologies, the power communication service object is continuously enhanced by the modernization level of the switches architecture designed in the substation automation environment. In the futuristic plan, the communication network not only provides a transmission line between devices, but also takes into account the reliability and efficiency of the power system communication network. Many protocols are used for the provision of faster and more robust communication among control centers, Remote Terminal Units (RTUs) and Intelligent Electronic Devices (IEDs) These protocols support the exchange of a wide range of possible common data that is organized by a DATA SET, such as in synchronized circuit breaker switching, distance protection and overcurrent protection. However, these protocols do not give the expected performance with standard switches architectures due to the remarkable traffic in power system communication. To address this issue, this paper modelled a substation automation switch based on the packet forwarder technique based on Generic Object Oriented Substation Event (GOOSE) protocol with different architectures of substation automation switches based International Electrotechnical Commission (IEC) 61850 standard. Finally, the simulations results found that the architecture of the four switch system showed a significant performance, as compared with other architectures.
Low Compute and Fully Parallel Computer Vision with HashMatch
Venue: 2017 IEEE International Conference on Computer Vision (ICCV)
Year: 2017

Numerous computer vision problems such as stereo depth estimation, object class segmentation and fore ground/background segmentation can be formulated as per pixel image labeling tasks. Given one or many images as input, the desired output of these methods is usually a spatially smooth assignment of labels. The large amount of such computer vision problems has lead to significant research efforts, with the state of art moving from CRF based approaches to deep CNNs and more recently, hybrids of the two. Although these approaches have significantly advanced the state of the art, the vast majority has solely focused on improving quantitative results and are not designed for low compute scenarios. In this paper, we present a new general framework for a variety of computer vision labeling tasks, called HashMatch. Our approach is designed to be both fully parallel, i.e. each pixel is independently processed, and low compute, with a model complexity an order of magnitude less than existing CNN and CRF based approaches. We evaluate HashMatch extensively on several problems such as disparity estimation, image retrieval, feature approximation and background subtraction, for which HashMatch achieves high computational efficiency while producing high quality results.
Combining User Based and Item Based Models for Collaborative Filtering Using Stacked Regression
Year: 2014

Collaborative filtering can be classified into user based or item based methods according to different assumptions. Our experiment results show that both userbased and item based methods can reach a certain degree of accuracy, but the recommendation coverage of these two methods is significantly different. This paper qualitatively analyzes the advantages and disadvantages of such two methods, and found that user based methods advantage in recommending popular items while item based methods perform better at suggesting long tail items. Based on this analysis, we proposes a novel machine learning framework to systematically combine both. We train a model for each user item pair for discovering the local preference of the user or item over both methods, and effectively combine user based and item based predictions using the preference information. Experiment results show that our approach can significantly improve the recommendation quality, and to a certain extend, alleviate the data sparsity problem.
Association between inflammation, oxidative stress, vitamin D, copper and zinc with pre obesity and obesity in school children from the city of Podgorica, Montenegro
Venue: Journal of pediatric endocrinology metabolism JPEM
Year: 2019

Childhood obesity is a serious health condition with increasing rates worldwide. The aim of this study was to investigate the association between inflammation, oxidative stress, vitamin D, copper and zinc in pre obese and obese children compared to controls.  The study involved 202 children aged 7 15 years (63.9% boys) randomly chosen from 10 elementary schools in Podgorica, Montenegro. Participants were divided into three groups according to their nutritional status (International Obesity Task Force [IOTF] criteria) normal weight (42.1% pre obese (40.6% and obese (17.3% Serum biochemical analyses were performed (C reactive protein [CRP] retinol binding protein [RBP] total antioxidant status [TAS] total vitamin D [VD] copper and zinc) Results Serum TAS and CRP concentrations were higher in pre obese and obese children compared to controls (p 0.001) Serum VD concentrations were lower in pre obese and obese children compared to their normal weight peers (p 0.027 and p 0.054, respectively) Copper, zinc and RBP concentrations did not differ significantly among the groups (p 0.05) In pre obese and obese children, a positive correlation was found between CRP and copper (r 0.305, p 0.011 and r 0.440, p 0.013, respectively) and TAS and RBP (r 0.528, p 0.001 and r 0.434, p 0.015, respectively) Standard regression analyses showed that CRP and TAS increase (p 0.001) whereas VD decreases (p 0.011) with the body mass index (BMI)  We show that pre obesity and obesity in childhood are positively associated with oxidative stress and inflammation, and inversely associated with VD status. Copper and zinc concentrations were not associated with excess fat in children.
Electromagnetic scattering from periodic dielectric rough surfaces by transform method
Year: 2014

In this study, a new and very computational effective method related to electromagnetic scattering from periodic dielectric surfaces is proposed. This method is based on Taylor series expansion of fields on the planes which are below and above of the periodic surface. The fields are represented by Floquet modes with unknown coefficients. Using the boundary condition, series equations are obtained. These series equations can be solved using orthogonality properties of Fourier expansion functions. Thismtransformation makes the problem simple formulation and computational effectively without involving calculation of slowly converging periodic Green's function. The proposed method can be extended for solution of electromagnetic scattering from multilayer periodic dielectric rough straightforwardly. Results and computational times obtained by transform method and those obtained by Method of Moments (MoM) technique are compared. Good agreements are observed in results. It is also observed that transform method needs much less computational time than MoM method.
A forecasting approach for truckload spot market pricing
Year: 2017

Logistics is an important sector considering the increasingly competitive nature of industry today. Large scale companies and third party logistics providers want the most economical and reliable forecasting mechanism for pricing the truckload spot market in the sphere of logistics and supply chains. This paper investigates the price forecasting of the truckload spot market, which is an important area for the determination of future value from the viewpoint of truckers by considering comprehensive variables. Two methodologies are used to determine truckers' spot price in the freight transport process, which are the artificial neural network and quantile regression, and a price forecasting framework is created. The framework is applied to two approaches: a route based model and a general model in which all routes are considered together. Real data are used to demonstrate the applicability and feasibility of the proposed method. In this scope forecast performances can be assessed, the best methodology and approach can be selected, and projections can be carried out.
Lipid polymer hybrid nanoparticles as a next generation drug delivery platform: state of the art, emerging technologies, and perspectives
Venue: International journal of nanomedicine
Year: 2019

Lipid polymer hybrid nanoparticles (LPHNPs) are next generation core shell nanostructures, conceptually derived from both liposome and polymeric nanoparticles (NPs) where a polymer core remains enveloped by a lipid layer. Although they have garnered significant interest, they remain not yet widely exploited or ubiquitous. Recently, a fundamental transformation has occurred in the preparation of LPHNPs, characterized by a transition from a two step to a one step strategy, involving synchronous self assembly of polymers and lipids. Owing to its two in one structure, this approach is of particular interest as a combinatorial drug delivery platform in oncology. In particular, the outer surface can be decorated in multifarious ways for active targeting of anticancer therapy, delivery of DNA or RNA materials, and use as a diagnostic imaging agent. This review will provide an update on recent key advancements in design, synthesis, and bioactivity evaluation as well as discussion of future clinical possibilities of LPHNPs.
Prospective Randomized Clinical Trial of Primary Molar Crowns: 24 Month Results.
Venue: Pediatric dentistry
Year: 2018

The purpose of this study was to evaluate the clinical success of a new primary zirconia molar crown compared with stainless steel crowns (SSCs)  This randomized, controlled clinical trial was designed as a split mouth study. Fifty three to seven year old children were recruited to provide a total of 50 pairs of teeth requiring primary molar crowns, with each participant receiving a SSC and zirconia crown. Restorations were evaluated at six month, 12 month, and 24 month recall appointments examining the following criteria: gingival health; estimate of extent the crown was high in occlusion; surface roughness; staining on crown surface; wear of opposing arch tooth; color match; anatomic form; marginal integrity; marginal discoloration; proximal contact area; secondary caries at crown margin; and parent/guardian satisfaction with crown appearance.  The 24 month follow up included 39 patients (78 percent) Seventy crowns (70 percent) were evaluated; of the 36 zirconia crowns and 34 SSCs, there were no failures at the 24 month evaluation. The only significant difference in the parameters evaluated was in parental satisfaction with the zirconia crown preference (P<0.05)  Current 24 month results indicate that zirconia primary molar crowns perform similarly to an established stainless steel crown for restoration of primary molar teeth.
Semantic Segmentation via Multi task, Multi domain Learning
Venue: S+SSPR
Year: 2016

We present an approach that leverages multiple datasets possibly annotated using different classes to improve the semantic segmentation accuracy on each individual dataset. We propose a new selective loss function that can be integrated into deep networks to exploit training data coming from multiple datasets with possibly different tasks (e.g. different label sets) We show how the gradient reversal approach for domain adaptation can be used in this setup. Thorought experiments on semantic segmentation applications show the relevance of our approach.
"Fifty Shades" and Reported Sexual Consent: A Study with Female College Students
Venue: Sexuality Culture
Year: 2019

Exposure to Fifty Shades has been associated with different sexual outcomes in women. In this study, we were particularly interested in understanding if exposure to Fifty Shades, and women's relationship status, was related to different levels of sexual consent in college women: internal consent (feelings when women consent to sex) and external consent (overt behaviors and verbal communication when they consent to sex) Five hundred and forty female college students, aged between 18 and 25 years, were enrolled in an online survey assessing visual exposure and reading of Fifty Shades, levels of satisfaction with the exposure/reading, and sexual consent. Findings revealed that respondents in the double exposure condition (exposure to the film and books) reported more cues of physical activation and readiness when they consent to sex, as compared with participants in the no exposure condition. Furthermore, respondents enrolled in a relationship reported more safety and comfort, as well as more arousal and readiness than single participants. Findings should be interpreted with caution given their cross sectional nature.
Letter: hepatocellular carcinoma surveillance determines survival in patients at risk
Venue: Alimentary pharmacology therapeutics
Year: 2019

EDITORS, Hepatitis B or C virus (HBV or HCV) infection, alcohol abuse, non alcoholic fatty liver disease, especially in the setting of established cirrhosis or advanced fibrosis, are the main risk factors for hepa tocellular carcinoma (HCC) Due to lack of typical symptoms and signs, more than 50% of HCC cases are diagnosed as intermediate or advanced stage disease and with poor long term survival. Earlier diagnosis of HCC should significantly improve survival. Official guidelines recommend HCC surveillance every 6 months in at risk individuals. However, the effectiveness of HCC surveillance remains a subject of debate, including intensity and mode of surveillance. Kim et al1 recently reported an interesting retrospective study. They included 1402 consecutive patients with newly diagnosed HCC and divided them into three groups: regular surveillance, patients with T2DM. HCC surveillance at 6 month intervals is recom mended based on the expected tumour growth rate (median doubling time of an HCC nodule is approximately 4 months)3,7,8 but not on the degree of risk of developing HCC. Therefore, reducing the screening interval for patients at higher risk may not add more benefit.9,10 As noted by Huo et al, only 14% of our NASH population had bridging fibrosis (F3) Furthermore, a low proportion of them died or were transplanted (8% or developed HCC (8% Thus, there were not enough patients with bridging fibrosis and clinical events to ex plore the effect of metformin in this subpopulation.
The Design of Cable Arrangement System for Towing Winch and Its Control Algorithm
Venue: 2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)
Year: 2019

In order to improve the adaptability of the cable arrangement mechanism of towing winch for cable with different diameter and ensure the arrangement of the cable on the drum. One type of towing electric winch is studied in this paper, the control system of cable arrangement mechanism is designed, and the mathematical model of the speed control system is built based on balance equation, the intelligent PID algorithm is used in the cable arrangement control system for towing winch. The intelligent PID algorithm is compared with the conventional PID algorithm through simulation experiments. The results show the accuracy of the algorithm in this paper, and the control algorithm can be applied to the cable arrangement control system of towing winch.
Accuracy Evaluation of Camera based Vehicle Localization
Venue: 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)
Year: 2019

Cooperative maneuvers are of high interest within many V2X applications. The implementation of cooperative maneuvers require the accurate localization of the vehicles. Accurate localizations of the ego vehicle will be provided by the next generation of connected cars using 5G. Until all cars participate in the network, unconnected cars have to be considered as well. These cars are localized via static cameras positioned next to the road. The scope of this paper is the implementation and evaluation of a system which provides the detection, tracking, and localization of vehicles for a cooperative maneuvers scenario. The application is the lane merge of vehicles where the vehicle localizations are used for the planning of trajectories. The observed vehicles are equipped with GNSS RTK units for their self localization which is the basis for the accuracy evaluation of the localization provided by the camera system.
A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism
Year: 2020

Driven by the advancements in artificial intelligence (AI) and its related technologies, the application of intelligent automation in travel and tourism is expected to increase in the future. This paper unpacks the need to shape an automated future of tourism as a social phenomenon and an economic activity, hence contributes to theory and practice by providing directions for future research in this area. Four research priorities are suggested: designing beneficial AI, facilitating adoption, assessing the impacts of intelligent automation, and creating a sustainable future with artificial intelligence. Research in these areas will allow for a systematic knowledge production that reflects a concerted effort from the scientific community to ensuring the beneficial applications of intelligent automation in tourism. The article also launches the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics. The Collection contains all past articles published in Annals of Tourism Research on the topic, and continues to grow as new articles are added.
Multi User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design
Venue: IEEE Transactions on Mobile Computing
Year: 2019

Adaptive bitrate streaming enables video users to <italic>adapt</italic> their playing bitrates to the real time network conditions, hence achieving the desirable quality of experience (QoE) In a multi user wireless scenario, however, existing single user based bitrate adaptation methods may fail to provide the desirable QoE, due to lack of consideration of multi user interactions (such as the multi user interferences and network congestion) In this work, we propose a novel user cooperation framework based on <italic>user provided networking</italic> for multi user mobile video streaming over wireless cellular networks. The framework enables nearby mobile video users to crowdsource their cellular links and resources for cooperative video streaming. We first analyze the social welfare performance bound of the proposed cooperative streaming system by introducing a virtual time slotted system. Then, we design a low complexity Lyapunov based online algorithm, which can be implemented in an online and distributed manner without the complete future and global network information. Numerical results show that the proposed online algorithm achieves an average 97 percent of the theoretical maximum social welfare. We further conduct experiments with real data traces, to compare our proposed online algorithm with the existing online algorithms in the literature. Experiment results show that our algorithm outperforms the existing algorithms in terms of both the achievable bitrate (with an average gain of 20 <inline formula><tex math notation="LaTeX"\sim$/tex math><alternatives><inline graphic xlink:href="huang ieq1 2834358.gif"/alternatives>/inline formula> 30 percent) and social welfare (with an average gain of 10 <inline formula><tex math notation="LaTeX"\sim$/tex math><alternatives><inline graphic xlink:href="huang ieq2 2834358.gif"/alternatives>/inline formula> 50 percent)
Penyakit ternak akibat infeksi bakteri dan pakan yang kurang berkualitas dapat menurunkan produksi daging sapi yang kebutuhannya semakin meningkat di Indonesia. Penelitian ini bertujuan mengetahui kualitas permen keras yang akan digunakan sebagai pakan ternak tambahan meliputi sifat kimia dan mikrob
Year: 2015

Cattle diseases caused by bacterial infection and unqualified feed can decrease production of beef which people consume more in Indonesia. This research objective is to know quality of hard candy as cattle feed additive including chemistry and microbiology characteristics. Research steps consist of material preparation test, making sirih leaf extract, making hard candy, chemistry tests (The levels of water, ashes, reduction sugar, sacarose and atsiri oil, respectively) and microbiology test (Total count test, and yeast and Fungi Test) The results showed that hard candy made fulfill SNI (Indonesia National Standar) considered of water level, ashes level, sacarose level, total count, and yeast fungi level. Atsiri oil level before sirih leaves are made into hard candy is 0,405% and it still exists in hard candy with increasing atsiri oil level, 0,1333%
A place to call home? A qualitative exploration of public librarians' response to homelessness
Year: 2017

Labeled "third sector" community organizations, public libraries serve homeless individuals by default. Using focus group interview data with library personnel, this qualitative study explored how public libraries in 8 urban and suburban communities in one Midwestern state perceived and served homeless patrons. Three themes emerged: (1) the recognition that libraries serve as makeshift shelters, (2) the inconsistent implementation of code of conduct policy regarding homeless patrons; and (3) innovative "under the radar" responses by administration and staff to resolve the tensions enacted by the presence of homeless persons in library facilities. Recommendations for staff training, internal policy revision, and enhanced collaboration between social service agency and public library staff are provided.
Takacs Gabor, 2011, Studies in Afro Asiatic Comparative Phonology: Consonants. Berlin, Dietrich Reimer, coll. Sprache und Oralitat in Afrika
Year: 2012

Gabor Takacs est un comparatiste bien connu de tous les (rares) linguistes qui s'interessent a la reconstruction de l'afro asiatique. Il a a son actif une impressionnante bibliographie, notamment sur l'egyptien ancien compare aux autres langues du phylum. Ce nouvel ouvrage a pour objet de completer la comparaison phonologique entreprise dans son dictionnaire etymologique de l'egyptien (Etymological Dictionary of Egyptian, Leyde Boston Cologne, Brill, 1999) La reconstruction de l'afro asiatiq.