nils-herrmann/clean_scirepeval huggingface dataset:
Environmental Kuznets Curve and Trade Openness in Turkey: Bootstrap ARDL Approach with a Structural Break
Venue: Environmental Science and Pollution Research
Year: 2019

In this study, the validity of the environmental Kuznets curve (EKC) hypothesis is examined with the newly developed bootstrap autoregressive distributed lag (ARDL) approach by incorporating the effects of trade openness for Turkey from 1969 to 2017. The bootstrap ARDL approach results show that there is a long run relationship between per capita carbon dioxide (CO2) emissions, per capita real income, and trade openness in the presence of one structural break. The results of the long run estimators indicate that the inverted U shaped EKC hypothesis is valid, and trade openness has an increasing impact on CO2 emissions. However, Turkey has not yet reached the level of income necessary to reduce pollution. The results of the Fourier Toda Yamamoto Granger causality test also show that unidirectional causality runs through per capita real income and trade openness to per capita CO2 emissions. In addition to these findings, it has been determined that the decrease in growth rate and production experienced during the 2001 financial crisis in Turkey reduced environmental pollution in both the short and long runs. Consequently, these results show that the scale and composition effects outweigh for economic growth and trade openness in Turkey.
TERAPIA OCUPACIONAL COMUNITARIA Y REHABILITACION BASADA EN LA COMUNIDAD: HACIA UNA INCLUSION SOCIOCOMUNITARIA
Year: 2015

El presente manuscrito es un ejercicio teorico/practico realizado para apoyar una propuesta disciplinar emergente. El objetivo es visibilizar la necesidad de realizar intervenciones que apunten a lograr una inclusion sociocomunitaria Se elaboro luego de revisar y analizar los resultados y conclusiones de una investigacion de magister y la practica profesional del autor y la autora en la estrategia de Rehabilitacion Basada en la Comunidad en las comunas de Hualpen y Talcahuano, en la region del Biobio. A partir de ahi, se articularon constructos epistemologicos para una propuesta metodologica de intervencion de Terapia Ocupacional Comunitaria que permita comprometerse con la realidad y las necesidades ocupacionales de las personas de nuestro espacio regional geopolitico. El trabajo se estructuro en torno a aproximaciones conceptuales de Terapia Ocupacional Comunitaria y luego una lectura aplicada en la estrategia de Rehabilitacion Basada en la Comunidad.
Myopic astigmatism correction: comparison of a Toric Implantable Collamer Lens and a bioptics technique by an adaptive optics visual simulator
Venue: Ophthalmic physiological optics the journal of the British College of Ophthalmic Opticians
Year: 2013

To compare the optical and visual quality of a simulated Toric Implantable Collamer Lens (TICL) and a bioptics technique to treat high myopic astigmatism.
A comparative analysis of text similarity measures and algorithms in research paper recommender systems
Venue: 2018 Conference on Information Communications Technology and Society (ICTAS)
Year: 2018

The increase in the number of online published research papers can be attributed to the recent developments of the internet and web technologies. However, researchers and online users have a difficult time getting relevant and accurate information due to information explosion on the internet. In this paper, we seek to establish which algorithms and similarity metric combinations can be used to optimise the search and recommendation of articles in a research paper recommender systems. Our investigation utilised non linear classification algorithms with text similarity measures. An offline evaluation approach is utilised to determine the models accuracy and performance, while various similarity metrics are assessed using available datasets. We will utilise the Recursive PARTitioning (rpart) Random Forest and Boosted machine learning algorithms on research paper similarity evaluation datasets. The rpart algorithm generally performed well when compared to the Boosted and the Random Forest algorithms by getting an average accuracy and time efficiency of 80.73 and 2.354628 seconds respectively. The cosine similarity performed best when compared with the other similarity metrics. New similarity metrics and measures are going to be proposed. It has been established in this paper that there are better combinations of metrics and algorithms when attempting to develop models that can be used for research paper similarity evaluation and recommendation. Further challenges and open issues are identified.
The 14 th International Conference on Mobile Systems and Pervasive Computing MobiSPC 2017 Spatial Connector Mapping Access Control Models for Pervasive Computing and Cloud Computing
Year: 2018

Services on pervasive computing are delegated or offloaded to cloud computing platforms, because pervasive computing devices have only limited resources. However, access control models in pervasive computing environments and cloud computing platforms are different, where the former tends to be context dependent and the latter to be subject based, e.g. role based access control (RBAC) To connect such different models, we propose a framework for managing context aware services executed at pervasive computing and cloud computing. The framework is constructed as a world model for specifying contextual information in the real world. This paper describes the design and prototype implementation of the proposed model. c 2016 he uthors.
FOREIGN LANGUAGE TEACHING BASED ON ORGANIZING PRACTICE ORIENTED COMMUNICATION IN THE CLASSROOM (FROM THE EXPERIENCE OF TEACHING MEDICAL ENGLISH)
Year: 2015

The article describes the organization of practice oriented communication in teaching English as a foreign language to medical students. The study validates the role and meaning of the applied teaching methods: verbal dialectical, terminological conceptual, and interactive. It also provides grounds for the use of the following forms and means of the students' work: case studies, an electronic textbook "English for Pharmacists" and the teaching and assessing software for organizing practice oriented communication in a foreign language classroom. The used means and methods increase the students' engagement and their autonomy; intensify the learning process and enrich it with the professional knowledge; they also allow the students to develop a sufficient level of professionally oriented competence. Key words practice oriented communication, professionally oriented language competence, verbal dialectical method
Oil price volatility forecast with mixture memory GARCH
Year: 2016

We expand the literature of volatility and Value at Risk forecasting of oil price returns by comparing the recently proposed Mixture Memory GARCH (MMGARCH) model to other discrete volatility models (GARCH, RiskMetrics, EGARCH, APARCH, FIGARCH, HYGARCH, and FIAPARCH) We incorporate an Expectation Maximization algorithm for parameter estimation of the MMGARCH and find different structures in volatility level as well as shock persistence. MMGARCH is also able to cover asymmetric and long memory effects. Furthermore, a dissimilar memory structure in variance of WTI and Brent crude oil prices is observed which is supported by additional tests. Parameter estimation and comparison of the models reveal significant long memory and asymmetry in oil price returns. In regard of variance forecasting and Value at Risk prediction, it is shown that MMGARCH outperforms the aforementioned models due to its dynamic approach in varying the volatility level and memory of the process. We find MMGARCH superior for application in risk management as a result of its flexibility in adjusting to variance shifts and shocks.
The burden of unintentional drowning: global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study
Venue: Injury Prevention
Year: 2020

Drowning is a leading cause of injury related mortality globally. Unintentional drowning (International Classification of Diseases (ICD) 10 codes W65 74 and ICD9 E910) is one of the 30 mutually exclusive and collectively exhaustive causes of injury related mortality in the Global Burden of Disease (GBD) study. This study's objective is to describe unintentional drowning using GBD estimates from 1990 to 2017.  Unintentional drowning from GBD 2017 was estimated for cause specific mortality and years of life lost (YLLs) age, sex, country, region, Socio demographic Index (SDI) quintile, and trends from 1990 to 2017. GBD 2017 used standard GBD methods for estimating mortality from drowning.  Globally, unintentional drowning mortality decreased by 44.5% between 1990 and 2017, from 531 956 (uncertainty interval (UI) 484 107 to 572 854) to 295 210 (284 493 to 306 187) deaths. Global age standardised mortality rates decreased 57.4% from 9.3 (8.5 to 10.0) in 1990 to 4.0 (3.8 to 4.1) per 100 000 per annum in 2017. Unintentional drowning associated mortality was generally higher in children, males and in low SDI to middle SDI countries. China, India, Pakistan and Bangladesh accounted for 51.2% of all drowning deaths in 2017. Oceania was the region with the highest rate of age standardised YLLs in 2017, with 45 434 (40 850 to 50 539) YLLs per 100 000 across both sexes.  There has been a decline in global drowning rates. This study shows that the decline was not consistent across countries. The results reinforce the need for continued and improved policy, prevention and research efforts, with a focus on low and middle income countries.
Association Analysis: Fetal Alcohol Spectrum Disorder and Hypertension Status in Children and Adolescents.
Venue: Alcoholism, clinical and experimental research
Year: 2019

This study examined the relationship between prenatal exposure to alcohol, manifested through fetal alcohol syndrome (FAS) and pFAS, and hypertension in children and adolescents.  This study was designed to analyze the association between fetal alcohol spectrum disorders (FASD) Status and hypertension status. FAS/pFAS diagnosed respondents (n 125) were collected from a FASD Clinical database in Atlanta, Georgia. Non FAS/pFAS respondents (n 500) were taken from the National Health and Nutrition Examination Survey (NHANES) Chi square analyses were used to examine the extent to which FASD status, sex, race/ethnicity, medication use, and obesity status each related to hypertension status. A logistic regression was performed analyzing the relationship between FASD status (y/n: independent) and hypertension status (y/n: dependent) while controlling for age, sex, race/ethnicity, medication use, and obesity status.  Univariate relationships between hypertension status and FASD status (OR 8.46, p 0.001) medication use (OR 3.25, p 0.001) and obesity status (OR 3.03, p 0.02) proved to be statistically significant (p 0.05) FASD status significantly predicted hypertension status (b 2.31, OR 10.06, p 0.001) after accounting for age, sex, race/ethnicity, medication use, and obesity status.  The major findings of this study suggest a significant relationship between FASD and hypertension in youth. Race/ethnicity and obesity also proved important in predicting hypertensive blood pressure readings independent of FASD diagnosis. Further research is needed to isolate prenatal alcohol exposure (PAE) as a factor promoting increased hypertension and to assess the risk for hypertension in alcohol affected adults.
Effects of medium components in a glycerol based medium on vitamin K (menaquinone 7) production by Bacillus subtilis natto in biofilm reactors
Venue: Bioprocess and Biosystems Engineering
Year: 2018

Menaquinone 7 (MK 7) as the most important form of Vitamin K has been reported to have miraculous benefits such as preventing cardiovascular diseases and osteoporosis along with antitumor effects. Therefore, there have been numerous studies in the past decades to improve MK 7 production via microbial fermentation. Unfortunately, both solid and liquid state fermentation strategies that are utilized for MK 7 production, face fundamental operational and scale up issues as well as intense heat and mass transfer problems during fermentation. In this regard, biofilm reactors seem to be a practical solution to overcome these issues and enhance the production in agitated liquid fermentation. Therefore, this study was undertaken to utilize biofilm reactors in investigating and optimizing different media components in a glycerol based medium. Using response surface methodology, the effects of glycerol, yeast extract, and soytone were studied in the fermentation medium on MK 7 production in biofilm reactor. With a composition of 48.2 g/L of glycerol, 8.1 g/L of yeast extracts, 13.6 g/L of soytone and 0.06 g/L of K2HPO4, MK 7 concentrations could reach 14.7 1.4 mg/L in biofilm reactors, which was 57% higher compared to the MK 7 concentration achieved in suspended cell reactors under similar conditions, while glycerol was depleted by the end of the fifth day in biofilm reactors, but glycerol was never depleted in suspended cell reactors. Evidently, biofilm reactors present a reliable strategy to address the operational issues that occur during MK 7 biosynthesis on an industrial scale production.
An impedance control method of lower limb exoskeleton rehabilitation robot based on predicted forward dynamics
Venue: 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Year: 2020

Aiming at the problem of the sick limb condition of the exoskeleton rehabilitation robot affects the smoothness and stability of the robot system during rehabilitation training, this paper proposed an impedance control model for the lower limb exoskeleton rehabilitation robot. The model realizes the flexibility of the robot system by adjusting the impedance control parameters in real time. To verify the validity of the model, we used SCONE software to realize forward dynamics simulation of walking gait. The classical PID impedance control system and fuzzy adaptive impedance control system are simulated respectively. The results show that the fuzzy adaptive control system is more effective to adapt to the changes of limb condition for the impedance control system of lower limb exoskeleton rehabilitation robot.
A Framework based on Genetic Algorithms for Distributed Constraint Optimization Problems
Venue: 2020 3rd International Conference on Electron Device and Mechanical Engineering (ICEDME)
Year: 2020

Local search algorithms are widely applied in solving large scale Distributed Constraint Optimization Problems(DCOPs) In local search algorithms, each agent makes its decision based on values of its neighbours. Thus, the search space of agents are bound up with those values. Fortunately, Genetic Algorithm(GA) can direct a search process to a more promising search space and help the search process break up the bound of local states, so we propose a GA based framework (LSGA) to enhance local search algorithms. In LSGA, a novel fitness function is proposed to help agents evaluate the quality of value assignments. Moreover, we propose a method to decide crossover positions in term of agent communication and the topological structure of DCOPs. Finally, we design a series of genetic operators for autonomous agents in DCOPs. The LSGA framework can be easily applied in any local search algorithm, and the experimental results demonstrate the superiority of the use of LSGA in the typical search algorithms over state of art local search algorithms.
SCENIC: Single cell regulatory network inference and clustering
Year: 2017

Single cell RNA seq allows building cell atlases of any given tissue and infer the dynamics of cellular state transitions during developmental or disease trajectories. Both the maintenance and transitions of cell states are encoded by regulatory programs in the genome sequence. However, this regulatory code has not yet been exploited to guide the identification of cellular states from single cell RNA seq data. Here we describe a computational resource, called SCENIC (Single Cell rEgulatory Network Inference and Clustering) for the simultaneous reconstruction of gene regulatory networks (GRNs) and the identification of stable cell states, using single cell RNA seq data. SCENIC outperforms existing approaches at the level of cell clustering and transcription factor identification. Importantly, we show that cell state identification based on GRNs is robust towards batch effects and technical biases. We applied SCENIC to a compendium of single cell data from the mouse and human brain and demonstrate that the proper combinations of transcription factors, target genes, enhancers, and cell types can be identified. Moreover, we used SCENIC to map the cell state landscape in melanoma and identified a gene regulatory network underlying a proliferative melanoma state driven by MITF and STAT and a contrasting network controlling an invasive state governed by NFATC2 and NFIB. We further validated these predictions by showing that two transcription factors are predominantly expressed in early metastatic sentinel lymph nodes. In summary, SCENIC is the first method to analyze scRNA seq data using a network centric, rather than cell centric approach. SCENIC is generic, easy to use, and flexible, and allows for the simultaneous tracing of genomic regulatory programs and the mapping of cellular identities emerging from these programs.  GENIE3, RcisTarget and AUCell. As scalable alternative to GENIE3, we also provide GRNboost, paving the way towards the network analysis across millions of single cells.
Empirical Assessment of a Prismatic Daylight Redirecting Window Film in a Full Scale Office Testbed
Year: 2014

Daylight redirecting systems with vertical windows have the potential to offset lighting energy use in deep perimeter zones. Microstructured prismatic window films can be manufactured using low cost, roll to roll fabrication methods and adhered to the inside surface of existing windows as a retrofit measure or installed as a replacement insulating glass unit in the clerestory portion of the window wall. A clear film patterned with linear, 50 to 250 mm high, four sided asymmetrical prisms was fabricated and installed in the south facing, clerestory low e, clear glazed windows of a full scale testbed facility. Views through the film were distorted. The film was evaluated in a sunny climate over a 2 year period to gauge daylighting and visual comfort performance. The daylighting aperture was small (window to wall ratio of 0.18) and the lower windows were blocked off to isolate the evaluation to the window film. Workplane illuminance measurements were made in the 4.6 m (15 ft) deep room furnished as a private office. Analysis of discomfort glare was conducted using high dynamic range imaging coupled with the EvalGlare software tool, which computes the daylight glare probability and other metrics used to evaluate visual discomfort. The window film was found to result in perceptible levels of discomfort glare on clear sunny days from the most conservative view point in the rear of the room looking toward the window. Daylight illuminance levels at the rear of the room were significantly increased above the reference window condition, which was defined as the same glazed clerestory window but with an interior Venetian blind (slat angle set to the cut off angle) for the equinox to winter solstice period on clear sunny days. For partly cloudy and overcast sky conditions, daylight levels were improved slightly. To reduce glare, the daylighting film was coupled with a diffusing film in an insulating glazing unit. The diffusing film retained the directionality of the redirected light spreading it within a small range of outgoing angles. This solution was found to reduce glare to imperceptible levels while retaining for the most part the illuminance levels achieved solely by the daylighting film.
Braj B. Kachru, Yamuna Kachru Cecil L. Nelson (eds. The handbook of World Englishes (Blackwell Handbooks in Linguistics) Oxford: Blackwell, 2006. Pp. xix+811.
Venue: Journal of Linguistics
Year: 2008

Any editor assembling a book, however large, on World Englishes has to accept compromises. To do justice to the practical, theoretical, literary and pedagogic aspects of the varieties of English in even one country might well require 800 pages. To do justice to the multiplicity of Englishes throughout the world would require the entire Blackwell series in which The handbook of World Englishes is one volume. Even then, the task would always remain unfinished, partial, because changes even extremely significant changes can occur both unexpectedly and with incredible speed. Let me illustrate this point by referring briefly to Northern Ireland. Until the year 2004, a comprehensive description of Northern Ireland English would have shown a conservative, religiously divided society employing a continuum of interinfluencing varieties, including Hiberno English, Anglo Irish and Ulster Scots. Three years on, and even a small town in rural Tyrone is also home to people speaking eighteen different languages, not counting mother tongue or acquired English. Who would have predicted such a seismic shift in such a short time, and how does a brief linguistic study even begin to describe the range and domains in which such new varieties emerge and evolve? Many people thinking of buying the book under review will probably wonder how it compares with Kortmann Schneider's A handbook of varieties of English (2004) A quick answer is that the two publications are, in many ways, both very different and yet complementary. The Kachru et al. volume, in spite of its title, is not an encyclopedia of World Englishes. Nor is it a volume of structural descriptions of individual Englishes. It is a collection of forty two thematically arranged chapters on theoretical aspects of the spread of the English language throughout the world. Many of the chapters are models of clarity but some of them are not for the uninitiated. They rely on a familiarity with currently available descriptions of individual varieties. For people who already own Kortmann Schneider (2004) and have approximately PS100 to spare, the Kachru volume is an ideal follow up. Most undergraduates, however, will probably prefer the encyclopedic nature of A handbook of varieties of English with its comprehensive coverage and its invaluable CD ROM. The handbook of World Englishes has an interesting and unusual design. Its chapters are presented in nine 'parts which vary considerably in size from two chapters, approximately 32 pages, to fifteen chapters, taking up over 250 J O U R N A L O F L I N G U I S T I C S
GAN based imbalanced data intrusion detection system
Venue: Personal and Ubiquitous Computing
Year: 2019

According to the development of deep learning technologies, a wide variety of research is being performed to detect intrusion data by using vast amounts of data. Although deep learning performs more accurately than machine learning algorithms when learning large amounts of data, the performance declines significantly in the case of learning from imbalanced data. And, while there are many studies on imbalanced data, most have weaknesses that can result in data loss or overfitting. The purpose of this study is to solve data imbalance by using the Generative Adversarial Networks (GAN) model, which is an unsupervised learning method of deep learning which generates new virtual data similar to the existing data. It also proposed a model that would be classified as Random Forest to identify detection performance after addressing data imbalances based on a GAN. The results of the experiment showed that the performance of the model proposed in this paper was better than the model classified without addressing the imbalance of data. In addition, it was found that the performance of the model proposed in this paper was excellent when compared with other models that were previously used widely for the data imbalance problem.