nils-herrmann/clean_scirepeval huggingface dataset:
Social isolation rearing induced anxiety and response to agomelatine in male and female rats: Role of corticosterone, oxytocin, and vasopressin
Venue: Journal of psychopharmacology
Year: 2019

The chronobiotic antidepressant, agomelatine, acts via re entrainment of circadian rhythms. Earlier work has demonstrated late life anxiety and reduced corticosterone in post weaning social isolation reared (SIR) rats. Agomelatine was anxiolytic in this model but did not reverse hypocortisolemia. Reduced corticosterone or cortisol (in humans) is well described in anxiety states, although the anxiolytic like actions of agomelatine may involve targeting another mechanism. Central oxytocin and vasopressin exert anxiolytic and anxiogenic effects, respectively, and are subject to circadian fluctuation, while also showing sex dependent differences in response to various challenges.  If corticosterone is less involved in the anxiolytic like actions of agomelatine in SIR rats, we wondered whether effects on vasopressin and oxytocin may mediate these actions, and whether sex dependent effects are evident. Anxiety as assessed in the elevated plus maze, as well as plasma vasopressin, oxytocin, and corticosterone were analyzed in social vs SIR animals receiving sub chronic treatment with vehicle or agomelatine (40 mg/kg/day intraperitoneally at 16:00) for 16 days.  Social isolation rearing induced significant anxiety together with increased plasma vasopressin levels, but decreased corticosterone and oxytocin. While corticosterone displayed sex dependent changes, vasopressin, and oxytocin changes were independent of sex. Agomelatine suppressed anxiety as well as reversed elevated vasopressin in both male and female rats and partially reversed reduced oxytocin in female but not male rats.  SIR associated anxiety later in life involves reduced corticosterone and oxytocin, and elevated vasopressin. The anxiolytic like effects of agomelatine in SIR rats predominantly involve targeting of elevated vasopressin.
THE ROLE OF UNCERTAINTY AVOIDANCE AND INDULGENCE AS CULTURAL DIMENSIONS ON ONLINE SHOPPING EXPENDITURE
Year: 2016

Cultural background affects human behaviors in many areas. One of these areas is e commerce. In this study the effects of uncertainty avoidance (UAI) and indulgence (ING) as Hofstede's cultural dimensions on online shopping expenditure (OSE) have been investigated. In this context, data from 54 countries by the year 2012 have been subjected to regression analysis. In accordance with the findings, it has been revealed that ING increases the OSE; conversely UAI decreases. Accordingly, it can be expressed the willingness of consumers to shop online increases in case of trust; but decreases in case of uncertainty and risk environment. One of the results occurs with this study is how attitudes towards online shopping change from culture to culture.
Improving text summarization of online hotel reviews with review helpfulness and sentiment
Year: 2020

The considerable volume of online reviews for today's hotels are is difficult for review readers to manually process. Automatic review summarizations are a promising direction for improving information processing of travelers. Studies have focused on extracting relevant text features or performing sentiment analysis to compile review summaries. However, numerous reviews contain nonspecific or nonsentimental content, hindering the ability of sentiment based techniques' to accurately summarize useful information from hotel reviews. This paper proposes a systematic approach that first constructs classifiers to identify helpful reviews and then classifies the sentences in the helpful reviews into six hotel features. Finally, the sentiment polarities of sentences are analyzed to generate the review summaries. Experiment results indicated that the performance of the proposed approach was superior to other methods.
Organisation d'un detachement pour renfort medical en situation de crise sanitaire lors de la pandemie COVID 19 retour sur une collaboration entre les CHU de Lille et de Strasbourg
Venue: Anesthesie Reanimation
Year: 2020

Resume La pandemie de COVID 19 a mis sous tension extreme un systeme de sante fonde essentiellement sur une organisation locale et regionale. Au plus fort de la crise, la necessite exceptionnelle de faire appel a un renfort de medecins specialistes en anesthesie reanimation disponibles sur le territoire francais a permis d'optimiser la prise en charge des patients les plus gravement atteints par le SARS CoV 2 hospitalises au CHU de Strasbourg. Cette formidable chaine de solidarite a fonctionne grace a une co organisation administrative et medicale. Une gestion rigoureuse des moyens necessaires doit permettre l'anticipation des besoins en renfort, la preparation de leurs arrivees et leurs affections dans un service adapte a leurs competences. Afin d'optimiser l'efficience d'un tel processus, le maximum doit etre fait pour faciliter l'exercice du praticien en renfort. Le facteur humain, souvent neglige dans nos exercices medicaux, se revele etre une fois de plus une composante essentielle dans la gestion de crise.  The COVID 19 pandemic put the French health system, mainly based on local and regional organisation, under tremendously high pressure. During the crisis climax, many hospitals, like the Strasbourg University Hospital, had to rely on backup from available anaesthesiologists, working in spared regions, to relieve healthcare resources and reinforce local teams. This remarkable chain of solidarity compensated for limited healthcare resources and allowed for appropriate, high level care of severe COVID 19 patients in Strasbourg. Adequate allocation of medical resources required anticipation, reactivity and a skill oriented dispatch from both administrative and medical perspectives. To maximise its efficacy, this system should focus on facilitating rapid integration of medical resources from abroad in ancillary tasks and ease their rapid acquisition of local protocols. One again, human factor turned out to be the most decisive element in mitigating the COVID 19 pandemic.
The Impact of the Mount Polley Tailings Pond Failure on the Sedimentary Record of Quesnel Lake, British Columbia
Year: 2018

The Mount Polley tailings pond failure that occurred on August 4, 2014 provided an opportunity to understand the effects of point source sedimentation events in the sedimentary record. Six sediment cores that were taken at both distal and proximal locations in Quesnel Lake (B.C. were used to identify if turbidity currents or subaqueous debris flows were generated. Geotechnical (grain size and LOI) mineralogical and copper metal concentrations confirmed the presence of turbidite deposits in four cores. All of these turbidites contained a coarser grained base and an uppermost fine grained cap. Two out of the four turbidite deposits that were most proximal to the spill mouth contained mixed basal layers that may signify the energy of the current at that depth. Sediment is focused in the deepest part of the basin. The spill sediments will compress over time but will represent sedimentation rates at 4 5 orders of magnitude larger than Holocene natural rates.
Stories of Learning and Becoming: Emerging Programming with/in a First Nations Child Care Programs
Year: 2018

Supervisory Committee Dr. B. Denise Hodgins (School of Child and Youth Care) Supervisor Dr. Enid Elliot (School of Child and Youth Care) Co Supervisor Corinne Sagmeister (Director Indigenous Engagement and Policy, Ministry of Children and Family Development) Community Member There is growing interest in emerging ECE programming that is situated in and emerges from and within the local culture and context. Emergent approaches, such as the municipal preschools in Reggio Emilia, Italy, and New Zealand's early learning framework Te Whariki, provide inspiration for communities that are creating emerging programs. Of key importance for ECE programs in First Nations communities is that emerging programming is guided by Indigenous knowledges and local knowledges. This report describes a community engagement project with early childhood educators in a British Columbia First Nation community that was designed to introduce some emergent approaches into their preschool and child care programs. The report provides an overview of the project, describes its activities, and provides a literature review that served as its framework. The literature review focusses on emergent approaches in ECE, particularly in the context of British Columbia, important considerations for culturally appropriate pedagogies in Indigenous communities, the influence of postfoundational perspectives in ECE, and the process of pedagogical narration as a tool for planning emergent programs. The literature review is followed by an analysis of the project through three pedagogical narrations that emphasize learning and becoming as emerging through human and more than human relationships. The analysis engages with postfoundational theories, Indigenous scholars, and the feedback of the educators who took part in the project. The report concludes with some considerations on the process and impact of documentation as a way to live curriculum and engage emergent pedagogies in First Nations programs, as well as key project learnings that may serve as a resource for emerging early learning programming in First Nations communities. EMERGING PEDAGOGIES iv
The Capability Approach in Urban Quality of Life and Urban Policies: Towards a Conceptual Framework
Year: 2013

Improving urban quality of life is often stated as the main goal of urban policies, planning and management. However, there is no wide consensus on the theoretical and methodological framework that should be used to operatively define the concept of urban quality of life, so as to be useful for developing operational tools to measure it and for the evaluation of urban projects, plans and policies.
Introducing high gain internal model to semi global robust output regulation for minimum phase nonlinear systems
Venue: 2009 IEEE International Conference on Control and Automation
Year: 2009

We consider the Assumption of existence of the general nonlinear internal model which is introduced in the design of robust output regulators for a class of minimum phase nonlinear systems with rth degree (r>=2) The robust output regulation problem can be converted into a robust stabilization problem of an augmented system consisting of the given plant and a high gain nonlinear internal model, perfect reproducing the bounded including not only periodic but also nonperiodic exogenous signal from a nonlinear system which satisfies some general immersion assumption. The state feedback controller is designed to guarantee the asymptotic convergence of system errors to zero manifold. And the stabilization analysis of the resulting closed loop systems lead to regional as well as semi global robust output regulation achieved for some appointed initial condition in the state space, for all possible values of the uncertain parameter vector and the exogenous signal ranging over an arbitrary compact set.
Analyzing the individual effect of determinants effecting the financial performance of banks using camels model
Year: 2018

The aim of this study is to empirically examine the bank specific, financial, and macroeconomic determinants of performance in Islamic and conventional banks of Pakistan. To do this, we first constructed the Financial Performance Index (FPI) based on CAMELS' ratios and then run the computed index on the said determinants. We have used an unbalanced annual panel data covering the period 2010 2015. We also show that the impact of Gross Domestic Product (GDP) Real Interest Rate (RIR) and Political Stability (PS) on performance is insignificant for both types of banks. Bank managers should focus on controlling overheads and operating costs to improve performance because, according the empirical results presented in the study, both of these variables are negatively related to the FPI. Our results suggest that improvements in overall management practices and new standards in operating efficiency and financial risk management are essential to enhance performance of banks.
A tutorial on Bayes Factor Design Analysis using an informed prior
Venue: Behavior research methods
Year: 2019

Well designed experiments are likely to yield compelling evidence with efficient sample sizes.  Analysis (BFDA) is a recently developed methodology that allows researchers to balance the informativeness and efficiency of their experiment (Schonbrodt Wagenmakers, Psychonomic Bulletin Review, 25(1) 128 142 2018) With BFDA, researchers can control the rate of misleading evidence but, in addition, they can plan for a target strength of evidence. BFDA can be applied to fixed N and sequential designs. In this tutorial paper, we provide an introduction to BFDA and analyze how the use of informed prior distributions affects the results of the BFDA. We also present a user friendly web based BFDA application that allows researchers to conduct BFDAs with ease. Two practical examples highlight how researchers can use a BFDA to plan for informative and efficient research designs.
Research on Road Traffic Sign Recognition Based on Video Image
Venue: 2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA)
Year: 2017

The frequent occurrence of road congestion and traffic accidents has affected people's travel efficiency and travel safety. Traffic sign recognition has become one of the key research objects in intelligent transportation system. This paper studies the identification of road traffic signs based on video images. First of all, collected image will be image preprocessing with image reduction, brightness adjustment, filtering. Secondly, the traffic signs are segmented by means of area filtering and morphological processing based on color and shape features. The method of feature extraction of traffic signs is studied to train traffic sign samples. According to the characteristics of many kinds of traffic signs, select linear kernel function and combine one to one SVM classifier to classify traffic signs. Finally, the traffic signs are identified based on Matlab software. The results show that the traffic signs can be accurately identified.
Memory Augmented Graph Neural Networks for Sequential Recommendation
Venue: AAAI
Year: 2020

The chronological order of user item interactions can reveal time evolving and sequential user behaviors in many recommender systems. The items that users will interact with may depend on the items accessed in the past. However, the substantial increase of users and items makes sequential recommender systems still face non trivial challenges: (1) the hardness of modeling the short term user interests; (2) the difficulty of capturing the long term user interests; (3) the effective modeling of item co occurrence patterns. To tackle these challenges, we propose a memory augmented graph neural network (MA GNN) to capture both the long and short term user interests. Specifically, we apply a graph neural network to model the item contextual information within a short term period and utilize a shared memory network to capture the long range dependencies between items. In addition to the modeling of user interests, we employ a bilinear function to capture the co occurrence patterns of related items. We extensively evaluate our model on five real world datasets, comparing with several state of the art methods and using a variety of performance metrics. The experimental results demonstrate the effectiveness of our model for the task of Top K sequential recommendation.
Receipt of a Sexual Risk Assessment From a Doctor or Medical Care Provider in the Past Year Among Women and Men Aged 15 44 With Recent Sexual Activity.
Venue: National health statistics reports
Year: 2018

Using 2011 2015 data from the National Survey of Family Growth (NSFG) this report examines by selected characteristics the percentage of women and men aged 15 44 in the United States with recent sexual activity who received a sexual risk assessment from a doctor or other medical care provider in the past year.
An Intersection Game Theory Based Traffic Control Algorithm in a Connected Vehicle Environment
Venue: 2015 IEEE 18th International Conference on Intelligent Transportation Systems
Year: 2015

Urban traffic congestion is a growing problem that we experience every day. Intersections are one of the major bottlenecks that contribute to urban traffic congestion. Traditional traffic control methods, such as traffic signal and stop sign control are not optimal for all demand levels as demonstrated in the literature. Recently, numerous research efforts proposed Intelligent Transportation System (ITS) applications to enhance intersection capacity and hence reduce congestion. In this paper we propose a game theory based algorithm for controlling autonomous vehicle movements equipped with Cooperative Adaptive Cruise Control (CACC) systems at uncontrolled intersections. The goal of this research effort is to develop an algorithm capable of using the future autonomous/automated vehicle capabilities to replace the usual state of the practice control systems at intersections (e.g. stop signs, traffic signals, etc. The proposed algorithm is chicken game inspired and is efficient for application in real time. It assumes vehicles can communicate with a central agent at the intersection to provide their instantaneous speeds and locations. The proposed algorithm assumes that vehicles obey the Nash equilibrium solution of the game. The simulation results demonstrated reductions in vehicle travel time and delay relative to an all way stop sign control in the range of 49 and 89 percent on average respectively.
X ray excited optical luminescence from diamond thin films: the contribution of sp2 and H bonded carbon to the luminescence.
Venue: Journal of the American Chemical Society
Year: 2007

X ray excited optical luminescence (XEOL) and X ray absorption near edge structure (XANES) have been used to identify the origin of luminescence from chemical vapor deposited (CVD) diamond films. The XANES data provide direct evidence that luminescence from the CVD diamond films originates from the diamond phase, whereas both the sp2 and H bonded carbon, which are always present in the CVD diamond films, contribute little to the overall luminescence. This observation contradicts a previously proposed model, in which broad band emissions from CVD diamond thin films are assigned to sp2 carbon impurities and incorporated hydrogen in the film.
LA VITON: A Network for Looking Attractive Virtual Try On
Venue: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Year: 2019

In this paper, we propose an image based virtual try on network, LA VITON, which allows the generation of high fidelity try on images that preserves both the overall appearance and the characteristics of clothing items. The proposed network consists of two modules: Geometric Matching Module (GMM) and Try On Module (TOM) To warp in shop clothing item to the desired image of a person with high accuracy in GMM, grid interval consistency loss and an occlusion handling technique are proposed. Grid interval consistency loss regularizes transformation to prevent distortion of patterns in clothes and an occlusion handling technique encourages proper warping despite target bodies are covered by hair or arms. The following TOM synthesizes the final try on image of the target person seamlessly with the warped clothes from GMM. Extensive experiments on fashion datasets show that the proposed method outperforms the state of the art methods.
Detection of Collapsed Buildings in Post Earthquake Remote Sensing Images Based on the Improved YOLOv3
Venue: Remote. Sens.
Year: 2020

An important and effective method for the preliminary mitigation and relief of an earthquake is the rapid estimation of building damage via high spatial resolution remote sensing technology. Traditional object detection methods only use artificially designed shallow features on post earthquake remote sensing images, which are uncertain and complex background environment and time consuming feature selection. The satisfactory results from them are often difficult. Therefore, this study aims to apply the object detection method You Only Look Once (YOLOv3) based on the convolutional neural network (CNN) to locate collapsed buildings from post earthquake remote sensing images. Moreover, YOLOv3 was improved to obtain more effective detection results. First, we replaced the Darknet53 CNN in YOLOv3 with the lightweight CNN ShuffleNet v2. Second, the prediction box center point, XY loss, and prediction box width and height, WH loss, in the loss function was replaced with the generalized intersection over union (GIoU) loss. Experiments performed using the improved YOLOv3 model, with high spatial resolution aerial remote sensing images at resolutions of 0.5 m after the Yushu and Wenchuan earthquakes, show a significant reduction in the number of parameters, detection speed of up to 29.23 f/s, and target precision of 90.89% Compared with the general YOLOv3, the detection speed improved by 5.21 f/s and its precision improved by 5.24% Moreover, the improved model had stronger noise immunity capabilities, which indicates a significant improvement in the model's generalization. Therefore, this improved YOLOv3 model is effective for the detection of collapsed buildings in post earthquake high resolution remote sensing images.
Chronotype related differences in childhood and adolescent aggression and antisocial behavior A review of the literature
Venue: Chronobiology international
Year: 2014

Eveningness has been found to negatively affect adolescents' sleep and daytime functioning. Furthermore, eveningness is associated with greater impulsivity than morningness. Externalizing behavior could be chronotype related, implying that the alteration of the circadian rhythm itself is connected to aspects of emotion and emotion regulation. The present study investigated chronotype related differences in emotional and behavioral problems, especially aggression and antisocial behavior in children and adolescents. We conducted a comprehensive search via web of knowledge (MEDLINE, web of science) EBSCO, Ovid, PubMed, Google Scholar and PsycINDEX using the keywords: chronotype, chronobiology, morningness, eveningness, owls and larks as well as diurnal preference to fully capture every aspect of chronotype. For aggression we used the search terms: aggression, anger, hostility, violence, anti social behavior, conduct disorder, oppositional defiant disorder, delinquency, social adjustment and externalizing behavior. N 13 studies were included concerning chronotype, childhood, adolescence and antisocial behavior. Results showed that children and adolescents being E types were more affected by daytime impairments. Additionally, behavioral and emotional problems as aggression or antisocial behavior were more pronounced in E than in M types. Our findings support an association of eveningness and the impact of aggression on children and adolescents. Longitudinal investigations should be conducted in order to insure causality of the effects in question. In addition, the elevated vulnerability toward aggression in evening types demonstrates the need for prevention and intervention programs that educate youths in proper sleep hygiene and evoke an awareness of the consequences of a habitually diminished sleep quality.  morning type; I type: intermediate type; E type: evening type; CEM: Chronotype Emotional Behavior Model.