nils-herrmann/clean_scirepeval huggingface dataset:
Acceptance and Disclosure: Comparing genetic symmetry and genetic asymmetry in heterosexual couples between egg recipients and embryo recipients
Venue: Facts, views vision in ObGyn
Year: 2016

This paper explores the attitudes and experiences of 203 women in heterosexual couples who conceived via donated eggs (145) or donated embryos (58) in the last 5 years. Online surveys were sent to former patients (from many different countries) of a private Spanish clinic. By comparing the women in heterosexual couples who relied on donated eggs with those who relied on donated embryos, we examined the meaning of the absence of a genetic tie to a child in the two different situations that of "genetic symmetry" where neither parent has a genetic tie to that of "genetic asymmetry" where only the mother does not have a genetic tie. No existing study has yet shown whether women who rely on donated eggs and women who rely on donated embryos have similar or different attitudes towards issues surrounding the experience of non genetic motherhood. Three issues are discussed: (1) attitudes toward the importance of genetic ties and genetic information from the donor before and after the birth of their children, (2) patterns of disclosure, and (3) the relationship between attitudes toward genetic information and disclosure decisions. This study showed that although the two groups of women have many of the same attitudes, including attitudes toward the importance of genes as determinants of outcomes for the child, egg recipients are more likely than embryo recipients to agree that the genetic origins are important to them and that their children have a right to know genetic information. We also found that those who conceived with donated eggs more frequently disclose the nature of their conception to their child than do those who conceived with donated embryos.
A Versatile Integral in Physics and Astronomy and Fox's H Function
Venue: Axioms
Year: 2019

This paper deals with a general class of integrals, the particular cases of which are connected to outstanding problems in physics and astronomy. Nuclear reaction rate probability integrals in nuclear physics, Kratzel integrals in applied mathematical analysis, inverse Gaussian distributions, generalized type 1, type 2, and gamma families of distributions in statistical distribution theory, Tsallis statistics and Beck Cohen superstatistics in statistical mechanics, and Mathai's pathway model are all shown to be connected to the integral under consideration. Representations of the integral in terms of Fox's H function are pointed out.
Modeling echo chambers and polarization dynamics in social networks
Venue: Physical review letters
Year: 2020

Echo chambers and opinion polarization recently quantified in several sociopolitical contexts and across different social media raise concerns on their potential impact on the spread of misinformation and on the openness of debates. Despite increasing efforts, the dynamics leading to the emergence of these phenomena remain unclear. We propose a model that introduces the dynamics of radicalization as a reinforcing mechanism driving the evolution to extreme opinions from moderate initial conditions. Inspired by empirical findings on social interaction dynamics, we consider agents characterized by heterogeneous activities and homophily. We show that the transition between a global consensus and emerging radicalized states is mostly governed by social influence and by the controversialness of the topic discussed. Compared with empirical data of polarized debates on Twitter, the model qualitatively reproduces the observed relation between users' engagement and opinions, as well as opinion segregation in the interaction network. Our findings shed light on the mechanisms that may lie at the core of the emergence of echo chambers and polarization in social media.
Synthetic Brain Image Generation for ADHD prediction based on Progressive Growing Generative Adversarial Network
Year: 2020

In this paper, we proposed a method to generate synthetic brain images using generative adversarial networks (GANs) In medical image analysis, it remains a difficult and important task to produce realistic medical images that are entirely different from the original ones and also the exchange of clinical image data is a crucial issue for the implementation of diagnostic support systems. Nonetheless, it is difficult for researchers to obtain medical image data because the images contain individual information. Recently proposed GAN models could learn how to distribute training images without seeing actual image data, and generated images can completely anonymized personal information. The produced images can be used as training images for the classification of medical image, promoting medical image analysis viable. Instead of collecting a large amount of MRI data, an approach to image generation has been implemented in our paper. We exploit a progressive growing GAN (PGGAN) a neonatal brain image generation method that can be used for brain MRI classification and ADHD prediction tasks. The PGGAN slowly discovers the features of ADHD in MRI images by adding new layers during the training phase. Our image generation approach shows that it can produce brain MR images avoiding artificial artifacts and have clinical characteristics of the target symptom.
Quantile Effects of Causal Factors on Crash Distributions
Year: 2012

Crash data are heterogeneous because they are collected from different sources and locations at different times. This data heterogeneity may cause a significant bias in the estimation of standard errors for the coefficients as well as the coefficients' statistical inferences. In the past decade, several promising modeling strategies have been proposed to handle overdispersed crash data, most of which have focused on estimating the conditional mean crash count. This paper applies an alternative crash modeling approach: quantile regression (QR) in the context of a count data model. The application of QR to model crash frequency is illustrated, and empirical results are interpreted. Poisson gamma, the benchmark statistical model for crash counts, is referenced to estimate the covariate coefficients for the mean crash count. Focusing on the mean may result in important aspects of the data being missed. A more detailed analysis, using a QR model for crash count data, confirms that crash predictors have varying impacts on the different areas of the crash distribution. Moreover, the marginal effects of covariates provide a more direct observation of changes in the quantity, rather than the percentage, of crash frequency when responding to one unit changes in regressors.
The dynamics of cork oak systems in Portugal: the role of ecological and land use factors.
Year: 2009

Vegetation degradation and desertification occur in many semiarid ecosystems worldwide, particularly in the Western Mediterranean Basin. A peculiar semiarid Mediterranean land use system dominates the landscape of southern Portugal where cork oak (Quercus suber) is the main tree species. This system is the result of both ecological and land use dynamics that shaped the landscape for centuries and created a fine grained mosaic landscape, which includes four main types of vegetation patches: cork oak woodlands (higher tree density) cork oak montados (lower tree density) shrublands and grasslands. Each patch can be conceived as a vegetation state that is reached and maintained in different ways. Transitions between states are triggered often by a combination of human management and climatic circumstances. I hypothesize that cork oak woodlands and shrublands in southern Portugal represent alternative stable states, which change slowly or not at all in the absence of human intervention. Failures in natural regeneration of cork oak trees triggered by grazing pressure and human overexploitation can be the cause of a shift to the alternative stable state of shrublands, especially in very dry conditions. Stable and expanding shrublands may therefore be a sign of land desertification in southern Portugal, representing an irreversible transition. This PhD proposal aims to evaluate if cork oak woodlands and shrublands represent alternative stable states in southern Portugal and what are the ecological and land use mechanisms underlying their resilience and persistence.  The study area is located at Serra do Caldeirao, Algarve, southern Portugal. The persistence and dynamics of cork oak woodlands and shrublands, transition probabilities between vegetation states, and correlation between transitions and environmental variables will be analyzed through the observation of aerial photos between 1958 and 2002 for the study area with the help of a GIS (Geographical Information System) Markov matrix analysis and multivariate analysis will be used. Limitations for seedling establishment will be analysed through an experimental design carried out in different vegetation states. Finally, human management, motivations for land use decisions, behaviour towards the cork oak system, and sociological characterization of landowners will be investigated through landowner interviews.
Ji Yu C#He SQL ServerDe Bi Ye Lun Wen Guan Li Xi Tong She Ji Yu Kai Fa
Year: 2016

Ru He Rang Da Liang De Ren Li Cong Chuan Tong De Guan Li Fang Shi Zhong Jie Tuo Chu Lai ,Shi Xian Wen Dang De Gao Xiao Guan Li He Li Yong Shi Ge Gao Xiao Guan Li Ji Xu Jie Jue De Wen Ti Yan Jiu Nei Rong Zhu Yao Shi Dui Ji Yu C#He SQL ServerDe Bi Ye Lun Wen Guan Li Xi Tong Jin Xing Liao She Ji Yu Kai Fa ,Zai B/SMo Shi Xia Lai Wan Cheng Gao Xiao Fan Suo De Bi Ye Lun Wen Guan Li Gong Zuo ,Shi Gao Xiao Dang An Guan Li Xin Xi Hua De You Xiao
Dashboards to Support Operational Decision Making in Health Centers: A Case for Role Specific Design
Venue: Int. J. Hum. Comput. Interact.
Year: 2019

Applying a user centered design (UCD) process within the framework of a learning healthcare system (LHS) this study unearths role specific performance measures to support operational and financial decision making in community health centers (CHCs) We first built a multidimensional EHR/Practice Management data warehouse through a large collaborative of seven CHCs in the state of Indiana aimed at improving efficiency and access to care. A UCD process that comprised contextual interviews, card sorting and high fidelity dashboard prototyping was used to uncover over 45 different operational performance measures, many of which were unique and hitherto unknown measures of relevance to different individual roles within a CHC that included frontline staff, providers, clinical support, and executive management. Within the LHS paradigm, the study highlights the value of role specific performance measurement and their delivery through interactive user centered visualizations, while continuing to guide the development of future informatics tools.
Association between the levels of physical activity and plantar pressure in 6 14 year old children
Venue: PeerJ
Year: 2020

The main purpose of the study was to determine whether lower levels of physical activity were associated with higher plantar pressure generated under each foot.  In this cross sectional study, we recruited 641 children aged 6 14 years (agemean SD 9.7 2.4 years; heightmean SD 143.6 15.3 cm, weightmean SD 37.6 13.4 kg; body mass indexmean SD 17.6 3.2 kg/m2; 44.2% girls) We used EMED XL pressure platform to measure force time integral, pressure time integral, contact time and contact area, peak plantar pressure and mean plantar pressure of the right and the left foot during the gait analysis. The level of physical activity was measured by using The Physical Activity Questionnaire for Older Children (PAQ C) The associations were calculated by using generalized estimating equations with linear regression models.  Lower levels of physical activity were associated with higher force and pressure time integrals, longer contact time and higher peak and mean plantar pressures in both feet.  Our study shows that the level of physical activity is strongly and inversely associated with plantar pressure in a sample of 6 14 year olds.
KEANEKARAGAMAN JENIS DAN KEPADATAN GASTROPODA DI BERBAGAI SUBSTRAT BERKARANG DI PERAIRAN PANTAI TIHUNITU KECAMATAN PULAU HARUKU KABUPATEN MALUKU TENGAH
Venue: Biopendix: Jurnal Biologi, Pendidikan dan Terapan
Year: 2019

Indonesia has a very high diversity of flora and fauna, including various marine biota. The diversity of marine biota varies greatly and can represent all phyla in the Pacific region of Indonesia. The purpose of this study was to determine the environmental factors, the value of diversity and the density of gastropods in the coastal waters of Tihunitu.  This study was conducted on July 19, 2018. The type of research used is a descriptive type of research to see the value of diversity and density.  The measurement of environmental factors shows that the temperature values on transect I range from 26.5 28, deg C. The second transect ranged from 27.1 29.7, deg C. The transect III ranges from 28.0 29.8, deg C. The PH value on transect I ranges from 7.4 74. The transect II ranges from 7.2 7.4. The transect III ranges from 7 7.3. The salinity value on transect I ranged from 24 34 %0) The transect II ranges from 26 39 %0) The transect III ranges from 25 29 %0) The value of dissolved oxygen on transect I ranged from 7.3 to 8.3 mg 1. On transect II ranged from 6.9 723 mg 1. The transect III ranges from 7.1 7.2 mg 1. While the results of determining the type of substrate visually descriptive showed that Tihun Beach has 2 types of substrate types, namely sandy and rocky.  Gastropods found in Tihun coastal waters are 37 species representing 14 families in the phylum of molluscs. With the average value of diversity in the research station is classified as moderate, namely 3,448.6. The highest density value is 0.108 and the lowest density value is 0.01
Reinforcement Sensitivity Theory of Personality Questionnaire: Factor Structure Based on CFA and ESEM, and Associations with ADHD
Venue: Journal of personality assessment
Year: 2020

Revised reinforcement sensitivity theory (r RST) of personality is a major neuropsychological theory of motivation, emotion and personality. This paper presents the results of a study examining: (1) the factor structure of the Reinforcement Sensitivity Theory of Personality Questionnaire (RST PQ) using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) and (2) the relationships of the r RST constructs in the RST PQ with attention deficit hyperactivity disorder (ADHD) symptom groups of inattention (IA) and hyperactivity/impulsivity (HI) A total of 572 (Sample 1) and 309 (Sample 2) adults completed the RST PQ. Participants in Sample 2 also completed a questionnaire measuring ADHD symptoms. Results revealed more support for the ESEM model with six factors than the CFA model. For both the ESEM and CFA models, both IA and HI symptom groups were associated positively with the RST PQ constructs of behavioral inhibition system (BIS) and behavioral approach system (BAS) Impulsivity, with IA also associated negatively with the BAS Goal Drive Persistence. The theoretical implications of these findings for understanding the factor structure of the RST PQ, and for ADHD (IA and HI) in terms of r RST, are discussed.
A bootstrapping method for extracting attribute names with keys from the web
Venue: SAC
Year: 2016

A large number of semi structured documents (HTML documents) exist on the Web. To improve the accessibility of information related to an object, such as a product, human, or place, its attribute names and attribute values need to be extracted. Recently, many studies have aimed to extract attribute values automatically, whereas only a small number of studies have attempted to extract attribute names. Thus, we propose a method for extracting attribute names automatically. For the first time, we apply a bootstrapping algorithm to attribute name extraction in the area of information extraction. To solve a problem that is caused by applying a pure bootstrapping algorithm to attribute name extraction, we use keys, which are also extracted by a bootstrapping algorithm. We found that using extracted keys improve the accuracy of attribute name extraction.
Sport in Capitalist Society: A Short History
Year: 2013

Capitalism and the Birth of Modern Sport 2. Class Conflict and the Decline of Traditional Games 3. Sport, Nationalism and the French Revolution 4. The Middle Class Invention of Amateurism 5. Women and the Masculine Kingdom of Sport 6. The Victorian Sporting Industrial Revolution 7. Sport and the Age of Empire 8. Unfair Play: the Racial Politics of Sport 9. Soccer's Rise to Globalism 10. The Second Revolution: Sport between the World Wars 11. Revolutionary Sport 12. Sex, Drugs and Sport in the Cold War 13. Taking Sides in the 1960s 14. The Revolution is being Televised 15. Winners and Losers in the New World Order  What Future for Sport?
Development of a risk based maintenance decision making approach for automotive production line
Venue: Int. J. Syst. Assur. Eng. Manag.
Year: 2020

Automotive industries require effective and reliable maintenance strategies to ensure high levels of availability and safety. Risk based maintenance approach is a useful tool for maintenance decision making with the aim of reducing the overall risk in operating activities. In this paper, a Failure Mode and Effect Analysis (FMEA) model as one of the risk assessment techniques is developed with subjective information derived from domain experts. To overcome the drawbacks of traditional FMEA for risk priority number (RPN) estimation, a linguistic fuzzy set theory, through effective decision attributes in complex automotive equipment is conducted. The main attributes of this approach include the effect of experts' traits, scales variation, using various membership functions and defuzzification algorithms on reliable Fuzzy RPN (FRPN) estimation. The result of the proposed model revealed that altering membership functions and defuzzification algorithms had no significant effect on the FRPN estimation, but their values are highly affected by the number of scales. The sensitivity analysis showed that experts' traits have no sensible impact on experts' opinion for FRPN estimation, while the detectability index has more impact on FRPN variation. The result of risk classification number showed that the maintenance decision making could be included for the failure modes with the highest RPN values as a priority, which it would be useful to achieve the high level of availability and safety.
A 61 million person experiment in social influence and political mobilization
Venue: Nature
Year: 2012

Human behaviour is thought to spread through face to face social networks, but it is difficult to identify social influence effects in observational studies, and it is unknown whether online social networks operate in the same way Here we report results from a randomized controlled trial of political mobilization messages delivered to 61 million Facebook users during the 2010 US congressional elections. The results show that the messages directly influenced political self expression, information seeking and real world voting behaviour of millions of people. Furthermore, the messages not only influenced the users who received them but also the users' friends, and friends of friends. The effect of social transmission on real world voting was greater than the direct effect of the messages themselves, and nearly all the transmission occurred between 'close friends' who were more likely to have a face to face relationship. These results suggest that strong ties are instrumental for spreading both online and real world behaviour in human social networks.
Learning to Multi Task Learn for Better Neural Machine Translation
Venue: ArXiv
Year: 2020

Scarcity of parallel sentence pairs is a major challenge for training high quality neural machine translation (NMT) models in bilingually low resource scenarios, as NMT is data hungry. Multi task learning is an elegant approach to inject linguistic related inductive biases into NMT, using auxiliary syntactic and semantic tasks, to improve generalisation. The challenge, however, is to devise effective training schedules, prescribing when to make use of the auxiliary tasks during the training process to fill the knowledge gaps of the main translation task, a setting referred to as biased MTL. Current approaches for the training schedule are based on hand engineering heuristics, whose effectiveness vary in different MTL settings. We propose a novel framework for learning the training schedule, ie learning to multi task learn, for the MTL setting of interest. We formulate the training schedule as a Markov decision process which paves the way to employ policy learning methods to learn the scheduling policy. We effectively and efficiently learn the training schedule policy within the imitation learning framework using an oracle policy algorithm that dynamically sets the importance weights of auxiliary tasks based on their contributions to the generalisability of the main NMT task. Experiments on low resource NMT settings show the resulting automatically learned training schedulers are competitive with the best heuristics, and lead to up to +1.1 BLEU score improvements.
Impacto del aula invertida durante el proceso educativo sobre las derivadas
Year: 2019

Esta investigacion cuantitativa tiene como objetivo analizar la incorporacion del aula invertida en el proceso de ensenanza aprendizaje sobre las matematicas. La muestra esta conformada por 88 estudiantes de la Facultad de Negocios que cursaron la asignatura Matematicas basicas para los negocios durante el ciclo escolar 2016. Este estudio analiza el impacto del aula invertida para la compresion, habilidad, aplicacion y utilidad de las derivadas. Por medio de la regresion, estas variables son utilizadas para la construccion de cuatro modelos de pronostico relacionados con las calificaciones del examen parcial. Los resultados obtenidos permiten senalar que el aula invertida representa una estrategia didactica innovadora, creativa e idonea para facilitar la asimilacion y aplicacion del conocimiento en el area de las matematicas.
Secure, Resilient Computing Clusters: Self Cleansing Intrusion Tolerance with Hardware Enforced Security (SCIT/HES)
Venue: The Second International Conference on Availability, Reliability and Security (ARES'07)
Year: 2007

The formidable difficulty in securing systems stems in large part from the increasing complexity of the systems we build but also the degree to which we now depend on information systems. Complex systems cannot be fully verified under all possible conditions. Self cleansing intrusion tolerance (SCIT) servers go through periodic cleaning. SCIT can be used to create secure and robust cluster of servers without the impossible requirement of having perfect security on each server in the cluster. In this paper, we identify six SCIT security primitives that must be satisfied. We present a SCIT hardware enhanced (SCIT/HES) implementation that guarantees the incorruptibility of SCIT operations
Bass Strait In Situ Calibration Site: Trials of the French Transportable Laser Ranging System (FTLRS)
Year: 2008

Nicolas, J. F. Pierron, E. Samain and F. Barlier (2001) Centimeter Accuracy for the French Transportable Laser Ranging Station (FTLRS) Through Sub system Controls. European Geophysical Society's Symposium, 2000, 22 449 464. Nice France.  Watson, C. (2005) Satellite Altimeter Calibration and Validation Using GPS Buoy Technology. Thesis for Doctor of Philosophy. Centre for Spatial Information Science, School of Geography and Environmental Studies. University of Tasmania, pgs. 264.  Watson, C. R. Coleman, N. White, J. Church and R. Govind (2003) Absolute Calibration of TOPEX/Poseidon and Jason 1 Using GPS Buoys in Bass Strait, Australia. Marine Geodesy. 26(3) 285 304.  White, N. R. Coleman, J. Church, P. Morgan and S. Walker (1994) A southern hemisphere verification for the TOPEX/Poseidon satellite altimeter mission.  24505 24516. BASS STRAIT IN SITU CALIBRATION SITE: