nils-herrmann/clean_scirepeval huggingface dataset:
Perlecan Diversely Regulates the Migration and Proliferation of Distinct Cell Types in vitro
Venue: Cells Tissues Organs
Year: 2014

Perlecan is a multifunctional component of the extracellular matrix. It shows different effects on distinct cell types, and therefore it is thought to show potential for therapies targeting multiple cell types. However, the full range of multifunctionality of perlecan remains to be elucidated. We cultured various cell types, which were derived from epithelial/endothelial, connective and muscle tissues, in the presence of either antiserum against perlecan or exogenous perlecan, and examined the effects of perlecan on cell migration and proliferation. Cell migration was determined using a scratch assay. Blocking of perlecan by anti perlecan antiserum inhibited the migration of vascular endothelial cells (VECs) and bone marrow derived mesenchymal stem cells, and exogenous perlecan added to the culture medium promoted the migration of these cell types. The migration of other cell types was inhibited or was not promoted by exogenous perlecan. Cell proliferation was measured using a water soluble tetrazolium dye. When cells were cultured at low densities, perlecan blocking inhibited the proliferation of VECs, and exogenous perlecan promoted the proliferation of keratinocytes. In contrast, the proliferation of fibroblasts, pre adipocytes and vascular smooth muscle cells cultured at low densities was inhibited by exogenous perlecan. When cells were cultured at high densities, perlecan blocking promoted the proliferation of most cell types, with the exception of skeletal system derived cells (chondrocytes and osteoblasts) which were inhibited by exogenous perlecan. Our results provide an overview of the multiple functions of perlecan in various cell types, and implicate a potential role of perlecan to inhibit undesirable activities, such as fibrosis, obesity and intimal hyperplasia.
Autoconocimiento, adherencia al tratamiento y control de la hipertension arterial en el Peru: una revision narrativa
Year: 2017

This non systematic bibliographic review examines the published Peruvian medical literature on arterial hypertension (HTN) as of December 2016. The results were divided into three thematic areas: self knowledge, adherence to treatment, and control. We identified 197 articles, although only 15 were used for the analysis. Despite improvement in recent years, we found that the level of self knowledge about HTN is poor. The level is better in urban areas, but is generally worse than in other Latin American cities. Moreover, despite improvement, HTN control is insufficient and worse than in other Latin American countries. Finally, adherence to treatment may be worse in the provinces.
A Three Decade Retrospective on the Hostile Media Effect
Year: 2015

Some 30 years ago, Vallone, Ross, and Lepper (1985) conducted a pioneering study of the hostile media effect in which they demonstrated that partisans perceive media coverage as unfairly biased against their side. Over the ensuing decades, scores of experiments and surveys have extended their findings, demonstrating hostile media effects in a variety of domains. Taking the measure of the research more than 30 years later by systematically reviewing the many studies conducted in different locales, this article summarizes the knowledge base on the hostile media effect. The article integrates findings, clarifies conceptual issues, and presents two research based models of the effect. Future scholarly pathways are suggested, with a focus on how hostile media biases may change or continue in an era vastly different than the mass communication dominated age in which the concept was pioneered.
Joint depth and color camera calibration with distortion correction.
Venue: IEEE transactions on pattern analysis and machine intelligence
Year: 2012

We present an algorithm that simultaneously calibrates two color cameras, a depth camera, and the relative pose between them. The method is designed to have three key features: accurate, practical, and applicable to a wide range of sensors. The method requires only a planar surface to be imaged from various poses. The calibration does not use depth discontinuities in the depth image, which makes it flexible and robust to noise. We apply this calibration to a Kinect device and present a new depth distortion model for the depth sensor. We perform experiments that show an improved accuracy with respect to the manufacturer's calibration.
An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software
Venue: 2013 IEEE 16th International Conference on Computational Science and Engineering
Year: 2013

With the increasing popularity of open source software, the changes in source code are inevitable. These changes in code are due to feature enhancement, new feature introduction and bug repair or fixed. It is important to note that these changes can be quantified by using entropy based measures. The pattern of bug fixing scenario with complexity of code change is responsible for the next release as these changes will cover the number of requirements and fixes. In this paper, we are proposing a method to predict the next release problem based on the complexity of code change and bugs fixed. We applied multiple linear regression to predict the time of the next release of the product and measured the performance using different residual statistics, goodness of fit curve and R2. We observed from the results of multiple linear regression that the predicted value of release time is fitting well with the observed value of number of months for the next release.
Predicting the Cumulative Number of Cases for the COVID 19 Epidemic in China from Early Data
Year: 2020

We model the COVID 19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.
Selecting statistical or machine learning techniques for regional landslide susceptibility modelling by evaluating spatial prediction
Year: 2015

With so many techniques now available for landslide susceptibility modelling, it can be challenging to decide on which technique to apply. Generally speaking, the criteria for model selection should be tied closely to end users' purpose, which could be spatial prediction, spatial analysis or both. In our research, we focus on comparing the spatial predictive abilities of landslide susceptibility models. We illustrate how spatial cross validation, a statistical approach for assessing spatial prediction performance, can be applied with the area under the receiver operating characteristic curve (AUROC) as a prediction measure for model comparison. Several machine learning and statistical techniques are evaluated for prediction in Lower Austria: support vector machine, random forest, bundling with penalized linear discriminant analysis, logistic regression, weights of evidence, and the generalized additive model. In addition to predictive performance, the importance of predictor variables in each model was estimated using spatial cross validation by calculating the change in AUROC performance when variables are randomly permuted. The susceptibility modelling techniques were tested in three areas of interest in Lower Austria, which have unique geologic conditions associated with landslide occurrence.
miR 615 3p promotes proliferation and migration and inhibits apoptosis through its potential target CELF2 in gastric cancer.
Venue: Biomedicine pharmacotherapy Biomedecine pharmacotherapie
Year: 2018

Gastric cancer incidence is relatively higher in China than that in developed countries; however, molecular mechanisms considering the initiation and progression of gastric cancer are still unclear. For decades, numerous microRNAs have been found to regulate a wide range of biological functions in gastric cancer. However, the oncogenic function of miR 615 3p in gastric cancer has not been reported to date. With the help of gene and microRNA chips in 10 patients, we were able to screen differential expressed genes and microRNAs compared with normal gastric tissues. After that, online bioinformatics analysis tools were used to predict microRNAs' potential targets. As a result, miR 615 3p and its potential target, CELF2, were selected for further experiments. QRT PCR and western blot results indicated the aberrant high expression of miR 615 3p and low expression of CELF2 in gastric cancer both in vivo and in vitro. Moreover, miR 615 3p expression correlated to T and M stage. Up regulation of miR 615 3p inhibited the apoptosis, promoted proliferation and migration and led to the down regulation of CELF2. Meanwhile, down regulation of miR 615 3p resulted in anti tumor effects. Immunochemistry staining of CELF2 showed its association with T, N and M stage. In addition, overexpression of CELF2 could reverse miR 615 3p's oncogenic functions stated before. These findings indicate that miR 615 3p promotes gastric cancer proliferation and migration by suppressing CELF2 expression for the first time, providing clues for future clinical practices.
Qualitative Case Study of Women Leaders and Administrators in Construction Education Programs
Year: 2019

Construction industry is growing very fast in various aspects. However, the population of women in construction workforce is very low. This qualitative research aims at exploring the experience of women leaders and administrators in construction program, empower them in the decision making process, and find ways to create safe and encouraging work environments for them. This is believed to be possible through creating platform to educate men and women in shared leadership context, providing education and career development for women in the construction industry, and facilitating access to training and retraining programs for future leaders of the industry. The populations of the research are women who are in administrative positions in a research intensive Midwestern University. First, previous trends of women's presence in construction industry was investigated. Next, women who are currently active in leadership roles were interviewed. The findings from the research describes in detail the case study of experience of women leaders in construction programs in creating change, empowering young leaders for the future of construction workforce, gaining an understanding of ways to sustain and improve their existence in the workforce.
Antirecessionary regulation of Ukrainian economy agrarian sector under conditions of formation the zone of free trade with European Union
Year: 2015

Balanced development of national agrarian sector, it is my belief that it is in the plane of engagements implementation, Ukraine took them upon after the economic part signing of Ukraine European Union Association Agreement. These are the new political, institutional, economic, legal and trade challenges for all the branches of agrarian sector which is without any exaggeration in the financial economic crisis. That crisis was caused by national currency devaluation, "cracking" the home consumer's demand and difficulties the producer faces when he comes to the European provision market. In spite of any partnership with EU, the trade competition still stands over and under the conditions of formation the zone of free trade with EU the antirecessionary regulation of Ukrainian economy agrarian sector as it was proved in the article would have the sector branch peculiarities, specific of suitable evaluation and typological counteraction mechanism to potentially revealed threats. Simultaneously at the work there were revealed groups of sectors which according to my evaluation, should use the advantages from the zone of free trade with EU formation, also there were revealed those which will lose their competition advantages at the home provision market.
"Yours is better!" participant response bias in HCI
Venue: CHI
Year: 2012

Although HCI researchers and practitioners frequently work with groups of people that differ significantly from themselves, little attention has been paid to the effects these differences have on the evaluation of HCI systems. Via 450 interviews in Bangalore, India, we measure participant response bias due to interviewer demand characteristics and the role of social and demographic factors in influencing that bias. We find that respondents are about 2.5x more likely to prefer a technological artifact they believe to be developed by the interviewer, even when the alternative is identical. When the interviewer is a foreign researcher requiring a translator, the bias towards the interviewer's artifact increases to 5x. In fact, the interviewer's artifact is preferred even when it is degraded to be obviously inferior to the alternative. We conclude that participant response bias should receive more attention within the CHI community, especially when designing for underprivileged populations.
Study on the Mode of Home Care for the Aged in the City of Qiqihar from the Perspective of Integration of Medical Service and Pension Service
Year: 2018

The mode of providing for the aged in Qiqihar is mainly based on Home care for the age, and is also the most active mode of providing for the aged so far With the deepening of aging in our city, the elderly physical function continues to decline, we need to set up the model of integration of medical service and pension service. This paper introduces the status quo of basic mode of Qiqihar old age home, through the analysis of the survey data of Qiqihar, the development of home care industry should pay more attention to the health of the elderly community health care service center, accelerate development, and puts forward some countermeasures and suggestions to improve and develop the home care model, to promote the development of home based care services.
Epileptic and developmental encephalopathies: clinical and genetic study of adult patients attending a tertiary Epilepsy Centre
Year: 2019

To fully re evaluate patients with early onset epilepsy and intellectual disability with neurological, neurophysiological and neuropsychological examination in order to contribute to expanding the phenotypic spectrum of known epileptic encephalopathy (EE) related genes and to identify novel genetic defects underlying EEs.  We recruited patients with epilepsy and intellectual disability (ID) referring to our Epilepsy Centre. Patients underwent full clinical and neurophysiologic evaluation. When possible they underwent neuroradiologic investigations. Selected cases also underwent genetic analysis.  We recruited 200 patients (109 M, 91 F; mean age 36 years old) Mean age at epilepsy onset was 4 years old. The degree of ID was borderline in 4.5% of patients, mild in 25% moderate in 38% and severe in 32.5% EEG showed epileptiform abnormalities in 79.5% of patients. One hundred and thirty one patients out of the 200 recruited (65.5% did not have an aetiological diagnosis. All the patients underwent full clinical reassessment and when necessary they performed neuroradiologic and genetic investigations as well. We identified 35 patients with a genetic aetiology. In 8 cases a structural brain lesion was observed. In 33 patients, a genetic aetiology was identified. In 2 patients with drug resistant seizures video EEG allowed the identification of non epileptic seizures, and in one patient we discontinued anti epileptic drugs. In these patients, the aetiological diagnosis was made after 30 years (range 9 60 years) from the disease onset.  In a population of 200 adult patients with epilepsy and ID, an aetiological cause was identified in 45 patients after 30 years from the disease onset. Aetiological diagnosis, especially if genetic, has significant positive implications for patients, even if it has been made after years from the beginning of the disease. Benefits include better focused antiepileptic drug (AED) choice, sparing of further unnecessary investigations and improved knowledge of comorbidities.
East Asian warm season temperature variations over the past two millennia
Venue: Scientific reports
Year: 2018

East Asia has experienced strong warming since the 1960s accompanied by an increased frequency of heat waves and shrinking glaciers over the Tibetan Plateau and the Tien Shan. Here, we place the recent warmth in a long term perspective by presenting a new spatially resolved warm season (May September) temperature reconstruction for the period 1 2000 CE using 59 multiproxy records from a wide range of East Asian regions. Our Bayesian Hierarchical Model (BHM) based reconstructions generally agree with earlier shorter regional temperature reconstructions but are more stable due to additional temperature sensitive proxies. We find a rather warm period during the first two centuries CE, followed by a multi century long cooling period and again a warm interval covering the 900 1200 CE period (Medieval Climate Anomaly, MCA) The interval from 1450 to 1850 CE (Little Ice Age, LIA) was characterized by cooler conditions and the last 150 years are characterized by a continuous warming until recent times. Our results also suggest that the 1990s were likely the warmest decade in at least 1200 years. The comparison between an ensemble of climate model simulations and our summer reconstructions since 850 CE shows good agreement and an important role of internal variability and external forcing on multi decadal time scales.
Password Guessing Based Legacy UI Honeywords Generation Strategies for Achieving Flatness
Venue: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
Year: 2020

The legacy UI honeywords generation approach is more favored due to its high usability compared to the modified UI approach that sometimes becomes unusable in practice. However, several prior arts on legacy UI based honeywords generation methods often fail to obtain the security standard, especially the flatness criterion. In this work, we propose two legacy UI honeywords generation strategies based on two password guessing methods: PassGAN and Probabilistic Context Free Grammar (PCFG) Besides, we also introduce two hybrid strategies by combining PassGAN, PCFG, and random based methods. We empirically examine the flatness of the proposed honeywords generation strategy against Top Password (Top PW) attack using real world datasets, instead of only providing heuristic security arguments. The experiment results show that three of the proposed methods (the PassGAN based and the two hybrid methods) have lower flatness value than all previous legacy UI methods and able to meet the "perfectly flat" criterion.
Consumo de macronutrientes em mulheres com dor miofascial da musculatura mastigatoria
Year: 2019

A Disfuncao Temporomandibular exerce impactos profundos na qualidade de vida dos pacientes, incluindo dificuldades de alimentacao e mudancas nos habitos alimentares. Este estudo objetivou avaliar o consumo de macronutrientes em mulheres com dor miofascial da musculatura mastigatoria. A amostra foi composta por 21 mulheres, com idade entre 18 e 55 anos com diagnostico de dor miofascial da musculatura mastigatoria de acordo com o Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD) Para a avaliacao do consumo alimentar, utilizou se o diario alimentar e os itens analisados foram: fibras, carboidratos, proteinas e lipideos. O software Avanutri Online(r) foi utilizado para contabilizacao do consmo alimentar e os dados foram comparados com os valores de referencia: Adequate Intake, para fibras, e o Acceptable Macronutrients Distribuition para carboidratos, proteinas e lipideos. Para a analise estatistica utilizou se o software SPSS Statistics 17. As medias individuais de ingestao de cada macronutriente foram comparadas aos valores de referencia (AMDR e AI) utilizando o teste de U de Mann Whitney. Um nivel de significancia de 5% foi utilizado. Os achados indicaram baixo consumo de fibras e consumo de carboidratos, proteinas e lipideos dentro dos valores de referencia. Conclui se que pacientes com dor miofascial apresentam reducao no consumo de fibras alimentares.
Integrating Task Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
Venue: ArXiv
Year: 2018

Task motion planning (TMP) addresses the problem of efficiently generating executable and low cost task plans in a discrete space such that the (initially unknown) action costs are determined by motion plans in a corresponding continuous space. However, a task motion plan can be sensitive to unexpected domain uncertainty and changes, leading to suboptimal behaviors or execution failures. In this paper, we propose a novel framework, TMP RL, which is an integration of TMP and reinforcement learning (RL) from the execution experience, to solve the problem of robust task motion planning in dynamic and uncertain domains. TMP RL features two nested planning learning loops. In the inner TMP loop, the robot generates a low cost, feasible task motion plan by iteratively planning in the discrete space and updating relevant action costs evaluated by the motion planner in continuous space. In the outer loop, the plan is executed, and the robot learns from the execution experience via model free RL, to further improve its task motion plans. RL in the outer loop is more accurate to the current domain but also more expensive, and using less costly task and motion planning leads to a jump start for learning in the real world. Our approach is evaluated on a mobile service robot conducting navigation tasks in an office area. Results show that TMP RL approach significantly improves adaptability and robustness (in comparison to TMP methods) and leads to rapid convergence (in comparison to task planning (TP) RL methods) We also show that TMP RL can reuse learned values to smoothly adapt to new scenarios during long term deployments.
Helly hypergraph based matching framework using deterministic sampling techniques for spatially improved point feature based image matching
Venue: Multimedia Tools and Applications
Year: 2018

Hypergraphs are tools for matching of point features incorporating spatial relationships in the form of hyperedges exhibiting topological and geometric features between the points of images to be matched. Considering all possible hyperedges is computationally expensive and are randomly chosen in the state of the art techniques. A Helly Hypergraph based Matching Framework (HHMF) is proposed for the matching of images using point features with effective hyperedges. The framework includes proposed algorithms such as Construction of Hyperedges using Point features by Random (CHPR) Combinatorial (CHPC) and Exhaustive (CHPE) sampling techniques with and without Helly selection. The resultant hyperedges are treated with Adaptive Block Co ordinate Ascent Graph Matching with Integer Projected Fixed Point algorithm. The performance of the proposed framework is evaluated in terms of Accuracy, Matching score, Execution time and Tensor Size for synthetic point sets and Willow wine image dataset. Based on the experimental studies carried out against existing framework, CHPC, and CHPE with Helly selection, exhibited better performance with 73.88% 81% accuracy for 53.64 14.8% reduced tensor size respectively, in deformation noise tests, and 98% 96% accuracy for 97% 70% reduced tensor size in outlier tests. In the implicit experimental comparisons within sampling techniques, CHPR, and CHPE provided better performance with 81.37% and 76% accuracy. In general, HHMF framework has reduced the tensor size and execution time for deterministic sampling cases during point sets matching. The framework can be extended in the near future by incorporating learning schemes for automated hypergraph based point sets matching.