nils-herrmann/clean_scirepeval huggingface dataset:
Unraveling the crucial role of the ascorbate glutathione cycle in the resilience of Cistus monspeliensis L. to withstand high As concentrations.
Venue: Ecotoxicology and environmental safety
Year: 2019

Cistus monspeliensis L. is a species that grows spontaneously in contaminated mining areas of the Iberian Pyrite Belt. This species can accumulate high concentrations of As in the shoots without visible signs of phytotoxicity. In order to understand the physiological mechanisms underlying this tolerance, C. monspeliensis was grown in an Arenosol irrigated with aqueous nutrient solutions containing increasing concentrations of As (0, 1500, 5000, 10000, 15000 uM) and the effects of this metalloid on plant development and on the defence mechanisms against oxidative stress were monitored. Independently of the treatment, As was mainly retained in the roots. The plants with the highest concentrations of As in the shoots 5000 uM) showed toxicity symptoms such as chlorosis, low leaf size and decrease in biomass production and also nutritional deficiencies. Most of the studied physiological parameters (pigments, glutathione, ascorbate and antioxidative enzymes) showed significant correlation with As concentration in roots and shoots. Pigments, especially anthocyanins, were negatively affected even in the treatments with the lowest As concentrations. Glutathione increased significantly in roots at low As levels while in shoots this increase occurred in all As treatments. Ascorbate decreased in both tissues with As addition. The highest concentrations of As in shoots of C. monspeliensis triggered defence mechanisms against oxidative stress, namely by inducing the expression of genes coding antioxidative enzymes.
An Optimal Model for Optimizing the Placement and Parallelism of Data Stream Processing Applications on Cloud Edge Computing
Venue: 2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC PAD)
Year: 2020

The Internet of Things has enabled many application scenarios where a large number of connected devices generate unbounded streams of data, often processed by data stream processing frameworks deployed in the cloud. Edge computing enables offloading processing from the cloud and placing it close to where the data is generated, thereby reducing the time to process data events and deployment costs. However, edge resources are more computationally constrained than their cloud counterparts, raising two interrelated issues, namely deciding on the parallelism of processing tasks (a.k.a. operators) and their mapping onto available resources. In this work, we formulate the scenario of operator placement and parallelism as an optimal mixed integer linear programming problem. The proposed model is termed as Cloud Edge data Stream Placement (CESP) Experimental results using discrete event simulation demonstrate that CESP can achieve an end to end latency at least 80% and monetary costs at least 30% better than traditional cloud deployment.
Investigating Carbon Emission Situations and Low carbon Development in the Northwest of China:A Case Study of Shaanxi Province
Year: 2010

The northwest of China is currently facing dual pressures and a series of challenges with three major characteristics. First, the Western Region Development Strategy has been implementing for ten years, and basic infrastructures necessary for regional rapid development have been progressively completed, such as transportation and electricity. Second, the international financial crisis breaking out in 2007 has leaded resources and traditional industries of the northwest areas to a grim situation. Third, China is currently facing an increasing pressure on CO2 emission reductions, so is the northwest areas. Therefore, on the one hand, it is time for the northwest areas to strive for development rights to maintain regional and local economy prosperous; to this end, it is inevitable to increase CO2 emissions. On the other hand, it is also necessary for the northwest areas to contribute to China's CO2 emission reductions. In the present study, the authors documented the quantitative and structural evolutions of CO2 emissions of Shaanxi province in the northwest areas since 1949, and analyzed in detail the primary factors affecting changes in CO2 emissions from the aspects of GDP, industrial structure, consumption characteristics, energy consumption structure and efficiency. Then, in consideration of Shaanxi province's current situations, it was indicated that low carbon development should be taken in the future. Measures for low carbon development should be taken from both carbon sources and carbon absorption, including five aspects, i.e. agriculture, industry, service industry, living style, and CO2 absorption. Low carbon development generally embodies following components: 1) creating an organic, ecological, and efficient new agriculture; 2) optimizing the industrial and energy structure, and improving energy efficiency; 3) focusing on the both ends of industrial chains, and developing modern service industry actively; 4) advocating green consumption, and creating low carbon life; and 5) planting trees and grass to fix carbon element and expand carbon absorption. The results of this paper would provide meaningful reference theoretically and practically for saving energy, reducing CO2 emissions and promoting sustainable development for China, particularly for the northwest areas.
Security Analysis of Emerging Smart Home Applications
Venue: 2016 IEEE Symposium on Security and Privacy (SP)
Year: 2016

Recently, several competing smart home programming frameworks that support third party app development have emerged. These frameworks provide tangible benefits to users, but can also expose users to significant security risks. This paper presents the first in depth empirical security analysis of one such emerging smart home programming platform. We analyzed Samsung owned SmartThings, which has the largest number of apps among currently available smart home platforms, and supports a broad range of devices including motion sensors, fire alarms, and door locks. SmartThings hosts the application runtime on a proprietary, closed source cloud backend, making scrutiny challenging. We overcame the challenge with a static source code analysis of 499 SmartThings apps (called SmartApps) and 132 device handlers, and carefully crafted test cases that revealed many undocumented features of the platform. Our key findings are twofold. First, although SmartThings implements a privilege separation model, we discovered two intrinsic design flaws that lead to significant overprivilege in SmartApps. Our analysis reveals that over 55% of SmartApps in the store are overprivileged due to the capabilities being too coarse grained. Moreover, once installed, a SmartApp is granted full access to a device even if it specifies needing only limited access to the device. Second, the SmartThings event subsystem, which devices use to communicate asynchronously with SmartApps via events, does not sufficiently protect events that carry sensitive information such as lock codes. We exploited framework design flaws to construct four proof of concept attacks that: (1) secretly planted door lock codes, (2) stole existing door lock codes, (3) disabled vacation mode of the home, and (4) induced a fake fire alarm. We conclude the paper with security lessons for the design of emerging smart home programming frameworks.
Empleo de indicadores bibliometricos para la realizacion de un estado del arte. Un enfoque practico
Year: 2017

Esta contribucion tuvo como objetivo proponer un enfoque practico para poder utilizar herramientas que permitan determinar aquellos articulos mas citados, utilizando los valores del indice h reportado. Se realizo la busqueda en dos directorios: Google Academico, empleando el denominado POP y en Scopus, en relacion con los terminos: Gestion del conocimiento en el titulo de los articulos y Knowledge management, es decir el mismo termino en idioma ingles. Se compararon los articulos mas citados en relacion con los dos terminos de busqueda y se pudo determinar que los articulos encontrados en idioma espanol en Scopus, no han sido referidos en GA. Para los articulos en idioma ingles se presenta una discrepancia entre las citas reportadas y el indice h reportado en Scopus y la posicion de estos en el Google Academico. Estos resultados sugieren que la busqueda utilizando el POP para determinar los articulos con mas citas debe ser analizada con cautela o el autor puede considerar como mas importantes referencias: libros, o articulos publicados en revistas de menor impacto. El caracter gratuito del Google Academico y de la herramienta empleada el POP, unido al hecho de que muchos investigadores no tengan acceso a Scopus, conduce a la utilizacion de herramientas como el POP. Sin una conceptualizacion precisa del termino de busqueda y la revision de este tanto en espanol, como en ingles y el no realizar una analisis de los resultados obtenidos para considerar las revistas de mayor impacto y las posible comparacion de autores, puede conducir a que la utilizacion del Google Academico produzca "estados del arte" de muy baja calidad. Como lineas de investigacion importantes para futuras investigaciones se recomienda la realizacion de estudios para otros terminos y en particular para distintas ramas de las ciencias, asi como la posibilidad de poder analizar las formas de poder determinar una real genealogia de los posibles articulos seminales.
Oral health status and Unmet Restorative Treatment Needs (UTN) in disadvantaged migrant and not migrant children in Italy.
Venue: European journal of paediatric dentistry
Year: 2019

Despite a global decline in caries experience in children, dental caries remains a common and persistent public health problem, being more prevalent among socioeconomically disadvantaged groups. The aim of this survey is to evaluate DMFT index, caries prevalence and Unmet Restorative Treatment Needs (UNT) index in migrant and not migrant children with low income, in Campania region (Italy) in order to plan and build up strategies for promoting dental health in children and adequate health care for vulnerable groups.  A sample of 553 children (age range: 12 14 years old) were recruited from volunteer patients at a charitable foundation in Naples (Italy) and were categorised into 2 subgroups, according to their status of "migrant" or "not migrant" Parents completed a questionnaire in order to investigate demographic and oral health behaviour. The participants were healthy and from low family income levels. DMFT scores and caries prevalence were calculated; UNT index was also calculated [D?(D F) The mean DMFT values related to the examined variables were calculated using one way ANOVA.  Mean DMFT and UTN index were 3.92+ 2.92 and 86.3% for migrants, and 3.29+ 3.21 and 68.4% for not migrants, respectively. The difference in the mean DMFT between the two groups was statistically significant (p=.027) Caries prevalence was 77.5% and 55.9% in the migrant group and in the not migrant group, respectively. High DMFT values were statistically associated to history of previous dental visit, sugar intake, brushing teeth once a day, and low mothers' educational level for both groups.  Economically disadvantaged children showed high levels of dental caries. Furthermore, DMFT values, caries prevalence and unmet restorative treatment needs index among migrant children were higher than that of not migrant. In order to reduce inequalities in dental caries experience, there is a need to design policies aimed at primary prevention through health promotion programmes.
The Global Crisis and Equity Market Contagion
Year: 2014

We analyze the transmission of the financial crisis of 2007 to 2009 to 415 country industry equity portfolios. We use a factor model to predict crisis returns, defining unexplained increases in factor loadings and residual correlations as indicative of contagion. While we find evidence of contagion from the U.S. and the global financial sector, the effects are small. By contrast, there has been substantial contagion from domestic markets to individual domestic portfolios, with its severity inversely related to the quality of countries' economic fundamentals. This confirms the "wake up call" hypothesis, with markets focusing more on country specific characteristics during the crisis.
Application note: A low cost microcontroller based system to monitor crop temperature and water status
Year: 2010

A prototype system was developed and constructed for automating the measurement and recording of canopy soil and air temperature, and soil moisture status in cropped fields. The system consists of a microcontroller based circuit with solid state components for handling clock/calendar, sensor power, and data storage and retrieval functions. Sensors, including an analog soil moisture sensor, analog and digital temperature sensors, and a digital infrared thermometer, are widely available and inexpensive. The circuit board and sensor assemblies require approximately 4h to construct and test, and material costs totaled approximately US$84. Systems were built and tested during the 2009 growing season in a corn field to evaluate performance and suitability under local conditions. The sensors performed according to manufacturers' specifications, with accuracies of 0.4^oC, 1.4^oC, and 0.3^oC for air soil and canopy temperature measurements, respectively. Soil moisture sensors were calibrated and provided measurements within 2kPa of the manufacturer's values. Reliability of data collection and storage averaged 91% with most bad or missing data occurring during periods of inclement weather and electrostatic interference.
Evaluacion del comportamiento mecanico de un sistema modular compuesto por materiales reciclados para uso en pavimentos de vias terciarias
Year: 2020

Cerca del 70% de las vias en Colombia pertenecen a la red terciaria y la mayoria de ellas se encuentran en mal estado y sin pavimentar. A este panorama se suma la necesidad de reducir el impacto ambiental de la industria extractiva de agregados petreos convencionales y de dar un mejor uso a algunos materiales considerados como desecho. Como una alternativa ambientalmente sostenible de mejoramiento o de construccion para vias terciarias, en este trabajo se explora el uso de un sistema de confinamiento celular conformado por llantas vehiculares usadas, rellenas de mezclas de residuos de construccion y demolicion (RCD) Inicialmente, se realizo la caracterizacion fisica y mecanica de los materiales estudiados mediante pruebas de laboratorio, lo que permitio definir las dosificaciones optimas a emplear. Posteriormente, se construyo un modelo fisico con cuatro secciones de material diferente, en el cual se desarrollaron pruebas de penetracion dinamica con cono y de deflectometria de impacto con el equipo FWD, la cual sirvio como insumo para la determinacion de los modulos resilientes por medio de retrocalculo; para esos fines, tambien se desarrollo una aplicacion computacional denominada SIMCApave 1.0, basada en la teoria multicapa elastica. Adicionalmente, se realizo una modelacion numerica del sistema mediante el metodo de elementos finitos, haciendo uso del software Plaxis 3D. Los resultados obtenidos permitieron evaluar el comportamiento de los materiales empleados y del sistema de confinamiento celular propuesto y concluir acerca de su potencial uso en pavimentos para vias de bajo transito
Millimeter Wave Printed RGW Hybrid Coupler With Symmetrical Square Feed
Venue: IEEE Microwave and Wireless Components Letters
Year: 2020

In this letter, a new hybrid coupler with symmetrical square feed using printed ridge gap waveguide (RGW) technology is introduced and investigated. This structure can find important applications in beamforming network designs. The proposed coupler has a compact size of <inline formula> <tex math notation="LaTeX"$1.12\lambda _{g} \times 1.12\lambda _{g} \times 0.14\lambda _{g} /tex math>/inline formula> and shows promising results at millimeter wave <italic>Ka</italic> band around 30 GHz, especially in terms of amplitude balance bandwidth and loss. The simulated results are compared with the measured data and a good agreement is achieved.
Indonesian Nurses Migration Under Bilateral Agreement: Policy Issues and Responses
Year: 2017

The rise of cross border mobility of nurses has been marked by the creation of unilateral and bilateral agreements among nations. These agreements were intended to establish an ethical framework for the recruitment of professional health workers. Through the Indonesia Japan Economic Partnership Agreement (IJEPA) Indonesian nurses emigrate to Japan's health care industry. Despite the potential economic benefits from this migration, Indonesia itself is facing a distinct challenge in managing national nursing workforce. This study reviews the different policy approaches to current movement in promoting sustainability, ethical issues and compliance with the WHO global code of practice on the international recruitment of health personnel. Constructive dialogues between Indonesia and Japan by maximizing benefits, improve retention, brain circulation and alignment with WHO Code should be pursued in ongoing discussions. Comprehensive approaches in three different stages of migration, pre migration, immigration and post migration stage need integrated management and align it with Indonesia's situation.
Using graphics processors for high performance IR query processing
Venue: WWW
Year: 2008

Web search engines are facing formidable performance challenges due to data sizes and query loads. The major engines have to process tens of thousands of queries per second over tens of billions of documents. To deal with this heavy workload, such engines employ massively parallel systems consisting of thousands of machines. The significant cost of operating these systems has motivated a lot of recent research into more efficient query processing mechanisms. We investigate a new way to build such high performance IR systems using graphical processing units (GPUs) GPUs were originally designed to accelerate computer graphics applications through massive on chip parallelism. Recently a number of researchers have studied how to use GPUs for other problem domains such as databases and scientific computing. Our contribution here is to design a basic system architecture for GPU based high performance IR, to develop suitable algorithms for subtasks such as inverted list compression, list intersection, and top $k$ scoring, and to show how to achieve highly efficient query processing on GPU based systems. Our experimental results for a prototype GPU based system on $25.2$ million web pages indicate that significant gains in query processing performance can be obtained.
'You have hands, make use of them! Child labour in Artisanal and Small scale Mining in Tanzania
Year: 2016

This paper examines child labour in artisanal mining through ethnographic research in Tanzania. The poverty hypothesis argues that households send children to work to bolster household income. The sociocultural approach suggests that child mining offers valuable vocational training. This paper builds on a growing literature that complicates these approaches' straightforward claims by illustrating how household fragmentation is generated through the encounter of traditional cultural practices with mining's culture of consumption. This encounter exacerbates household fragmentation, which in turn increases child poverty and labour. These findings suggest that policy interventions should also address these mediating factors rather than poverty per se.
NLRP3 inflammasome activation in coronary artery disease: results from prospective and randomized study of treatment with atorvastatin or rosuvastatin.
Venue: Clinical science
Year: 2014

The NLRP 3 (nucleotide binding domain, leucine rich containing family, pyrin domain containing 3) inflammasome has recently emerged as a pivotal regulator of chronic inflammation. The aim of the present study was to determine whether NLRP3 inflammasome is expressed in patients with CAD (coronary artery disease) and whether statins (atorvastatin or rosuvastatin) might affect NLRP3 levels. In an in vitro study, human THP 1 cells treated with statins were analysed for NLRP3 inflammasome levels. The present study included 60 patients with CAD and 30 subjects without CAD (non CAD) Patients with CAD randomly received either 8 months of treatment with atorvastatin or rosuvastatin. PBMCs (peripheral blood mononuclear cells) were obtained from peripheral blood at baseline and after 8 months of statin therapy. Levels of NLRP3 inflammasome, IL (interleukin) 1b and IL 18 were measured by real time RT PCR (reverse transcription PCR) and FACS. Levels of NLRP3 inflammasome were higher in the CAD group than in the non CAD group. There was a positive correlation between NLRP3 inflammasome and cytokines (IL 1b and IL 18) levels. A randomized clinical study has shown that atorvastatin markedly diminished NLRP3 inflammasome levels, whereas rosuvastatin had no impact on these levels. Levels of NLRP3 inflammasome decreased in THP 1 cells treated with statins compared with those treated with vehicle, and the fold changes in NLRP3 inflammasome were higher in THP 1 cells treated with atorvastatin compared with those treated with rosuvastatin. The present study suggests that atorvastatin down regulates NLRP3 inflammasome expression in CAD, possibly contributing to the inhibitory effects of atorvastatin on chronic inflammation and atherogenic progression in this disorder.
Managing the Risk of Learning: Psychological Safety in Work Teams
Year: 2008

This social psychological analysis explores themes of trust and collective learning in teams. I describe interpersonal risks that can inhibit collective learning, distinguish psychological safety from trust, and explain why psychological safety mitigates interpersonal risks and facilitates a structured learning process in teams. Examples from field studies in several organizational settings are used to support a new theoretical model and show how leaders can help their teams manage the risks of learning.
Multi step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods
Venue: 2020 International Joint Conference on Neural Networks (IJCNN)
Year: 2020

Bitcoin is the leading currency in the cryptocurrency market capturing attention worldwide. Forecasting the Bitcoin price as accurate as possible is essential, but due to its high volatility this task is challenging. Many researchers try, through the years, to develop efficient models for predicting the Bitcoin price using several different data driven approaches. The objective of this paper is to develop a novel decomposition ensemble learning model that combines Variational Mode Decomposition (VMD) and Stacking ensemble learning (STACK) with machine learning algorithms to forecast the Bitcoin price multi step ahead. The algorithms are k Nearest Neighbors, Support Vector Regression with Linear kernel, Feed forward Artificial Neural Network with single layer perceptron, Generalized Linear Model, and Cubist. Correlation matrix (CORR) principal component analysis (PCA) and Box Cox transformation (BOXCOX) were used as data preprocessing techniques. Estimating the performance of the proposed models (namely VMD STACK CORR, VMD STACK PCA, and VMD STACK BOXCOX) using relative root mean square error, symmetric mean absolute percentage error, and absolute percentage error measures, defined that for one day ahead forecast VMD STAK BOXCOX model presented the better performance, and for two and three days ahead forecast VMD STACK CORR model was chosen, compared to VMD, STACK, and machine learning algorithms models' performance. Diebold Mariano statistical test was conducted to evaluate a reduction in forecasting errors. Therefore, the proposed models (VMD STACK CORR, VMD STACK PCA, and VMD STACK BOXCOX) indeed forecast accurately Bitcoin price and outperformed the compared models (VMD, STACK, and machine learning models)