nils-herrmann/clean_scirepeval huggingface dataset:
Relaciones entre Autoconcepto y Bienestar Psicologico en Universitarias Mexicanas
Year: 2020

Through structural equation models analyze the direct and indirect effects of self concept (personal, physical, social and academic) on psychological well being in its dimensions of self acceptance and personal growth. The total sample comprised 792 Mexican university women students, with an average age of 20.39 years (SD=1.81) The proposed model obtains a satisfactory fit. Being significant the majority of the hypothesized relationships. Personal and social self concept are the variables with greater explanatory power over perceived psychological well being. It also emphasizes the mediator capacity of personal self concept between physical, social and academic self concept factors and psychological well being. Future research should replicate these findings in larger samples.
Social emotions and psychological games
Venue: Current Opinion in Behavioral Sciences
Year: 2015

Emotions arise from cognitive appraisals and organize adaptive behavioral responses. The appraisals associated with social emotions such as guilt and anger can be modeled with utility functions that depend on both material and psychological payoffs, and their effect on behavior can be mathematically described using game theory. Guilt arises from the belief that an agent has disappointed a relationship partner and motivates reparative actions, while anger arises from the frustration of a goal being unexpectedly blocked and motivates aggressive actions. These psychological payoffs not only enable cooperation, but also appear to be associated with neural activations consistent with negative affective states. We believe integrating appraisal theory with game theoretic modeling can improve our ability to study emotions and predict behavior in social interactions.
Meat of the Matter
Year: 2012

This article discusses the potential health benefits and risks associated with human consumption of red meat, with a focus on its relevance to the Paleolithic diet. Topics include the history of humans' increased consumption of meat following advancements such as the discovery of using fire to cook and the creation of arrowheads, the ways that modern humans' exercise and lifestyle habits drastically differ from those of ancient humans with regards to necessary caloric consumption, and several studies from research teams at Harvard University aimed at reevaluating the link between increased red meat consumption and the risk of cardiovascular disease.
INTERNATIONAL JOURNAL OF PHARMACEUTICAL CHEMISTRY RESEARCH
Year: 2014

; results of pharmacological, toxicological, and biochemical studies; investigation of structure activity relationships in prediction of new compounds; methods and technical facilities used; and problems associated with the development of ecologically safe and economically feasible methods of industrial production. In addition, analytical reviews of international literature in the field report on recent developments around the world. Abstracts Indexing Chemical Abstract (CAS) Google, GoogleScholar, DOAJ, HInari,e journals,Index corpenicus, Scirus, Electronic journal library,Indian Science,Ayush Research Portal, ResearchBib, Indian citation Index (ICI) NISCAIR, Jgate, JadounScience, Sciences Indexed,Open Access Library, ProQuest, and many more
Image Reconstruction Based on Convolutional Neural Network for Electrical Resistance Tomography
Venue: IEEE Sensors Journal
Year: 2019

Image reconstruction is a key problem for electrical resistance tomography (ERT) Because of the soft field nature and the ill posed problem in solving inverse problem, traditional image reconstruction methods cannot achieve high accuracy and the process is usually time consuming. Since deep learning is good at mapping complicated nonlinear function, a deep learning method based on convolutional neural network (CNN) is proposed for image reconstruction of ERT. To establish the database, 41122 samples were generated with numerical simulations. 10 fold cross validation was used to divide all samples into training set and validation set. The network structure was based on LeNet, and refined by applying dropout layer and moving average. After 346 training epochs, the image correlation coefficient (ICC) on validation set was 0.95. When white Gaussian noise with a signal to noise ratio of 30, 40, and 50 were added to validation set, the ICC was 0.79, 0.89, and 0.93, respectively, which proved the anti noise capability of the network. The reconstruction results on samples which have more inclusions, different conductivity, and other shapes explained the network has good generalization ability. Furthermore, experimental data from a 16 electrode industrial ERT system was used to compare the accuracy of the proposed model with some typical reconstruction methods. Results show that the proposed CNN method has better reconstruction results than LBP, Tikhonov, and Landweber.
A preliminary inquiry in to constraints to the effective implementation of ecotourism practices at the local government.
Year: 2012

Tourism is a fast growing sector in the International market, while Ecotourism is the growing sector in sustainable tourism. Most of the tourists visit natural and cultural areas for leisure in a particular destination. Ecotourism also offers educational and new experience to tourist, and it has to be developed and managed in environmentally sensitive manner while protecting the environment. In Sri Lanka tourism is a seasonal industry. Mass tourism impacts highly on the environment while ecotourism does not. It is based on the principal of conservation action and management of the environment for local benefit.In Sri Lanka Ecotourism is a vital sector in economic and environmental aspect. Ecotourism pro cess embraces a huge range of participants, doing different parts of the whole development stage. Some of the participants are government sector, private sector and Nongovernmental organizations. Under the government sector urban council/Local authority /Pradeshiy sabha can play a major role in uplifting the infrastructure facilities and promotion to enable better practice in ecotourism. Information required to ensure the successful operation of ecotourism venture is scanty. This study is a preliminary inquiry in to the nature of ecotourism in Sri lanka, to make it more effective, at the local level. Primary data has been collected from five provinces at local level by interviewing local government. The significant problem faced by all these agencies was the lack of knowledge on ecotourism and their aspects. Some agencies have good potential to do or assist the ecotourism practice but they don't see the benefits they receive from this. Some agencies have initiated ecotourism practices but they have not proceeded beyond this stage. Considering issues it has been recognized that (a) information needs (b) provide ecotourism infrastructure and (c) Method of disbursement of benefit are the main constrains, to achieve best practice. As a part of this research we have identified that it is better the institution participate as ecotourism stakeholders .Suggestion for enabling these organization to implement required practices for achieving hire standards are discussed. Among them are the use of (a) knowledge on Ecotourism (Management, Operation and Maintenance) (b) Identification of ecotourism sites in local areas, (C) provide financial assistance to local agencies for infrastructure development, (d) giving publicity for promoting selected sites, and (e) arrange new visitors packages for existing sites and new sites.  Ecotourism, ecotourism and stakeholders
Turbulent Flow A Computational Model of World Literature
Year: 2016

This article uses computational modeling and large scale pattern detection to develop a theory of global textual transmission as a process of turbulent flow. Specifically, it models stream of consciousness narration as a discrete set of linguistic features and rhetorical elements and uses this model to track the movement of this modernist technique across generic boundaries (from anglophone modernism to more popular genres) and linguistic ones (from English to Japanese) Oscillating between statistical models and moments of close reading, the article shows how a quantitatively scaled up approach, rather than reinforcing an image of global textual flows as singular and monolithic, illuminates world literature as a system constituted by patterns of divergence in structure and of difference in sameness.
Single Image Super Resolution Using Depth Map as Constraint
Venue: 2020 IEEE International Conference on Image Processing (ICIP)
Year: 2020

Single image super resolution based on the deep neural network has achieved great performance recently, but generating photo realistic images remains a challenging problem. To tackle this issue, we propose a method that uses depth maps as a constraint to get better visual quality. Specifically, we propose a self adaptive feature transform (AFT) layer, which can perform affine transformation on the feature map based on the depth map to constrain the plausible solution space of the SR image. Furthermore, we propose a hierarchical residual multi scale fusion block to improve the representational ability of the network. Experimental results on benchmark datasets demonstrate that our method is superior to other perceptually oriented SISR methods in terms of visual quality and also achieves state of the art performance on quantitative metrics.
Prevalence and predictors of early gestational weight gain associated with obesity risk in a diverse Australian antenatal population: a cross sectional study
Venue: BMC Pregnancy and Childbirth
Year: 2017

BackgroundExcess gestational weight gain (GWG) leads to adverse short and long term consequences for women and their offspring. Evidence suggests that excess GWG in early pregnancy may be particularly detrimental, contributing to the intergenerational cycle of obesity. The primary outcome was to investigate the prevalence and predictors of excess GWG in early pregnancy, and if women understand the risks to themselves and their offspring stratified by maternal body mass index (BMI).MethodsThis was a secondary analysis (n 2131) of a cross sectional study (n 2338) conducted over 6 months in 2015 of pregnant women attending antenatal clinics at four maternity hospitals across Sydney, Australia before 22 completed weeks gestation An self completed questionnaire was used to investigate knowledge of expected weight gain in pregnancy, understanding of risks associated with excess GWG, self reported anthropometric measures and socio demographic data.ResultsOne third (34.2% of women gained weight in excess of the recommendations by 22 completed weeks gestation. Women who were overweight (OR: 1.69, 95% CI: 1.33 2.14) or obese (OR: 1.64, 95% CI: 1.20 2.24) pre pregnancy were more likely to gain excess weight in early pregnancy compared to normal weight women; as were women from lower socio economic areas (OR: 1.89, 95% CI: 1.49 2.41) Half (51% the women were unsure about the effect of excess GWG on their baby; 11% did not believe that excess GWG would affect the weight of the baby and 14% did not believe that excess GWG would affect longer term outcomes for their baby. Women who gained weight above the recommendations were significantly more likely to believe that excessive GWG in pregnancy would not have any adverse future effect on health outcomes or weight of their baby.ConclusionsThe women at particular risk of excess early GWG are those who are overweight and obese and/or residing in lower socio economic areas. These women need to be targeted for appropriate counselling preconception or in early pregnancy. Given the significant adverse outcomes associated with excess GWG in early pregnancy, preconception or early pregnancy counselling with respect to GWG and intervention research regarding best approach remains a public health priority.
Diagnosis and management of nonrapid eye movement parasomnias.
Venue: Current opinion in pulmonary medicine
Year: 2019

Nonrapid eye movement (NREM) parasomnias are common sleep disorders that potentially have significant personal, social and forensic implications. They represent a unique opportunity in nature to explore the coexistence of sleep and wake state in the human brain.  Neuroimaging and electroencephalography have advanced our understanding of NREM parasomnia pathophysiology, and the interplay between wakefulness and sleep. These disorders are increasingly viewed as resulting from an evolutionary process with a basis in uni hemispheric brain activity in sleep seen in some animals, maintaining consciousness and ability to act against life threatening situations. Although current classification of NREM parasomnia phenotypes distinguishes between disorders of arousal and other types of behaviours, evidence increasingly points to there being a significant overlap between the various phenotypes. Treatment practice appears more standardized nowadays based on larger case series, but randomized control trials are still needed.  NREM parasomnia is a very common disorder of uncertain pathogenesis but of known pathophysiology, the diagnosis of which remains primarily clinical.
Assessment of ozone toxicity among 14 Indian wheat cultivars under field conditions: growth and productivity
Venue: Environmental Monitoring and Assessment
Year: 2018

Tropospheric ozone (O3) is a well known threat to global agricultural production. Wheat (Triticum aestivum L. is the second most important staple crop in India, although little is known about intra specific variability of Indian wheat cultivars in terms of their sensitivity against O3. In this study, 14 wheat cultivars widely grown in India were exposed to 30 ppb elevated O3 above ambient level using open top chambers to evaluate their response against O3 stress. Different growth and physiological parameters, foliar injury and grain yield were evaluated to assess the sensitivity of cultivars and classified them on the basis of their cumulative stress response index (CSRI) Due to elevated O3, growth parameters, plant biomass, and photosynthetic rates were negatively affected, whereas variable reductions in yield were observed among the test cultivars. Based on CSRI values, HD 2987, DBW 50, DBW 77, and PBW 550 were classified as O3 sensitive; HD 2967, NIAW 34, HD 3059, PBW 502, HUW 213, and HUW 251 as intermediately sensitive, while HUW12, KUNDAN, HUW 55, and KHARCHIYA 65 were found to be O3 tolerant cultivars. Cultivars released after year 2000 were found to be more sensitive compared to earlier released cultivars. Path analysis approach showed that leaf area, plant biomass, stomatal conductance, net assimilation rate, and absolute growth rate were the most important variables influencing yield under O3 stress. Findings of the current study highlight the importance of assessing differential sensitivity and tolerance of wheat cultivars and response of different traits in developing resistance against elevated O3.
Assessment of functional state of cardio vascular system and free radical oxidation processes in young athletes
Year: 2014

Oxidative stress underlies the formation of the pathology of cardiovascular system in young athletes. Its potential role in the pathogenesis of myocardial remodeling in young athletes has been discussed. The paper is devoted to the study of the changes of free radical oxidation in the body by the method of chemiluminescence and antioxidant effect on the functional state of the cardiovascular system. The results of clinical studies on the antioxidant effect of polydihidroxyphenilenthiosulfonate sodium "Hypoxen" in vitro, namely the addition of a substance in a simple model systems that mimic the most common reactions of free radical oxidation in the organism, such as formation of reactive oxygen species and lipid peroxidation. It has been found in this study that concentration of free radicals in the blood in athletes with physiological manifestations of athlete's heart and signs of stress cardiomyopathy has been increased. After administration of Hypoxen in vivo the concentration of free radicals in the athlete's blood has been found to be reduced. In assessing the functional state of the cardiovascular system administration of Hypoxen resulted in the improved physical performance in young athletes. Maintaining of free radical oxidation processes at the optimal levels contributes to timely prevention of stress cardiomyopathy.
Wind speed trends over China: quantifying the magnitude and assessing causality
Year: 2013

Temporal trends (1971 2007) in 10 m wind speeds from homogeneous observational data sets from 540 weather stations and reanalysis data sets are quantified and compared. Also, possible physical cause of inconsistencies between the data sets and temporal trends and variability in wind speeds are investigated. Annual mean wind speeds from the observational data exhibit pronounced downward trends especially in the upper percentiles and during spring. The NCEP/NCAR reanalysis reproduces the observed wind speeds, seasonality and temporal trends better than the ERA 40 even though it shows larger interannual fluctuations. The warm and cold AO and ENSO phases have significant influence on probability distribution of wind speeds, thus internal climate variability is a major source of both interannual and long term variability.
Algumas consideracoes sobre o racismo estrutural e a luta feminista
Year: 2019

O presente texto apresenta as contribuicoes do livro "O que e racismo estrutural?" escrito por Silvio Luiz de Almeida. Trata se de resenha cujo objetivo e introduzir questoes relativas ao feminismo negro e o Direito sob uma abordagem critica e descolonial. O livro contem cinco capitulos, assim organizados: 1) Raca e racismo; 2) Racismo e ideologia; 3) Racismo e politica; 4) Racismo e direito; 5) Racismo e economia.
Exploiting Solar Visible Range Observations by Inversion Techniques: From Flows in the Solar Subsurface to a Flaring Atmosphere
Year: 2020

Observations of the Sun in the visible spectral range belong to standard measurements obtained by instruments both on the ground and in the space. Nowadays, both nearly continuous full disc observations with medium resolution and dedicated campaigns of high spatial, spectral and/or temporal resolution constitute a holy grail for studies that can capture (both) the long and short term changes in the dynamics and energetics of the solar atmosphere. Observations of photospheric spectral lines allow us to estimate not only the intensity at small regions, but also various derived data products, such as the Doppler velocity and/or the components of the magnetic field vector. We show that these measurements contain not only direct information about the dynamics of solar plasmas at the surface of the Sun but also imprints of regions below and above it. Here, we discuss two examples: First, the local time distance helioseismology as a tool for plasma dynamic diagnostics in the near subsurface and second, the determination of the solar atmosphere structure during flares. The methodology in both cases involves the technique of inverse modelling.
Bubble dynamics in double stranded DNA: A Rouse chain based approach
Year: 2011

We propose a model for the fluctuation dynamics of the local denaturation zones (bubbles) in double stranded DNA. In our formulation, the DNA strand is modeled as a one dimensional Rouse chain confined at both the ends. The bubble is formed when the transverse displacement of the chain attains a critical value. This simple model effectively reproduces the autocorrelation function for the tagged base pair in the DNA strand as measured in the seminal single molecule experiment by Altan Bonnet et al. (2003)  Our model goes beyond a single reaction coordinate description by incorporating the chain dynamics through a confined Rouse chain and thus considers the collective nature of the dynamics. Our model also shows that the autocorrelation function is very sensitive to the relaxation times of the normal modes of the chain, which is obvious since the fluctuation dynamics of the bubble has the contribution from the different normal modes of the chain.
Stock visibility for retail using an RFID robot
Year: 2019

The combination of the latest advancements in information and communication technologies with the latest developments in AutoID technologies, especially radio frequency identification (RFID) brings the possibility of high resolution, item level visibility of the entire supply chain. In the particular case of retail, visibility of both the stock count and item location in the shop floor is crucial not only for an effective management of the retail supply chain but also for physical retail stores to compete with online retailers. The purpose of this paper is to propose an autonomous robot that can perform stock taking using RFID for item level identification much more accurately and efficiently than the traditional method of using human operators with RFID handheld readers.,This work follows the design science research methodology. The paper highlights a required improvement for an RFID inventory robot. The design hypothesis leads to a novel algorithm. Then the cycle of development and evaluation is iterated several times. Finally, conclusions are derived and a new basis for further development is provided.,An autonomous robot for stock taking is proven feasible. By applying a proper navigation strategy, coupled to the stream of identifications, the accuracy, precision, consistency and time to complete stock taking are significantly better than doing the same task manually.,The main limitation of this work is the unavailability of data to analyze the actual impact on the correction of inventory record inaccuracy and its subsequent implications for the supply chain management. Nonetheless, it is shown that figures of actual stock tacking procedures can be significantly improved.,This paper discloses the potential of deploying an inventory robot in the supply chain. The robot is called to be a key source of inventory data conforming supply chain management 4.0 and omnichannel retail.
La recepcion y evolucion de la imagen de Federico Garcia Lorca en la Union Sovietica
Year: 2019

Lorca's poetry had an enormous influence on the literary culture of the Soviet Union, especially after the 1960s Khrushchev's <Thaw> At that time Lorca almost personifies all Spanish poetry for Russian society. Lorca translations created their own literary trend of intercultural dialogue. The goal of this paper is to study the phenomenon through the prism of socio cultural changes in the Soviet Union and to demonstrate how the initial propagandistic reception of Lorca in the USSR gradually transforms to the way of insertion of the ideas fighting against the same propaganda. The paper also studies the appearance of the <myth> during the process of reception, the distortion of the image of the poet and the facts of his life caused by the sociocultural characteristics of the country and that time.
Cognitive Dysfunction in Obsessive Compulsive Disorder
Venue: Current Psychiatry Reports
Year: 2016

Obsessive compulsive disorder (OCD) is a mental disorder featuring obsessions (intrusive thoughts) and compulsions (repetitive behaviors performed in the context of rigid rituals) There is strong evidence for a neurobiological basis of this disorder, involving limbic cortical regions and related basal ganglion areas. However, more research is needed to lift the veil on the precise nature of that involvement and the way it drives the clinical expression of OCD. Altered cognitive functions may underlie the symptoms and thus draw a link between the clinical expression of the disorder and its neurobiological etiology. Our extensive review demonstrates that OCD patients do present a broad range of neuropsychological dysfunctions across all cognitive domains (memory, attention, flexibility, inhibition, verbal fluency, planning, decision making) but some methodological issues temper this observation. Thus, future research should have a more integrative approach to cognitive functioning, gathering contributions of both experimental psychology and more fundamental neurosciences.