nils-herrmann/clean_scirepeval huggingface dataset:
Economic, demographic and environmental factors affecting urban land prices in the Arab sector in Israel
Year: 2016

The land market in the Arab sector in Israel represents a real estate submarket that differs from the land market in the Jewish sector. This submarket is typified by a growing lack of building for residential projects and by widespread construction of homes on agricultural land, often without proper permits. The present study compares land prices in two towns of comparable size, located in close proximity from each other, one of which (Nazareth) has predominantly Arab population and the second one (Afula) is mostly Jewish populated. The analysis covers the period between 1998 and 2012 and is based on land transaction records, published by the Israel Tax Authority. The main study methods were the time trend analysis and multivariate regressions, in which the dependent variable, the price of land, was mutually compared with socio demographic and environmental variables representing the towns' population and geography. The study demonstrates that property values, reported to the tax authorities in Nazareth, tend to be lower than the actual worth of those properties, and that, despite the geographical proximity of the two towns and their comparable population size, land prices in Nazareth are significantly higher than those in Afula. We explain these differences by a limited supply of land for new development in Nazareth as well as by the opposing effects of the prime interest rate and of internal migration: a rise in both factors is positively correlated with increased land prices in Afula, but with lower land prices in Nazareth.
Financial Modelling: Theory, Implementation and Practice with MATLAB Source
Year: 2013

Financial Modelling Theory, Implementation and Practice is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, derivingV prices and Greeks using (semi analytic and simulation techniques, and calibration even for exotic options.The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic local volatility models and (pure) jump processes. It shows the possible risk neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates HullWhite, Displaced Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi dimensional models. The stochastic local volatility Libor market model with time dependent parameters is considered and as an application how to price and risk manage CMS spread products is demonstrated.The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr Madan method or Fourier Space Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for LG(c)vy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state of the art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk.V The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor Market model.Source code used for producing the results and analysing the models is provided on the authorvDjTMs dedicated website, http:/www.mathworks.de/matlabcentral/fileexchange/
Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
Venue: PloS one
Year: 2020

We investigate the presence (and the influence) of disinformation spreading on online social networks in Italy, in the 5 month period preceding the 2019 European Parliament elections. To this aim we collected a large scale dataset of tweets associated to thousands of news articles published on Italian disinformation websites. In the observation period, a few outlets accounted for most of the deceptive information circulating on Twitter, which focused on controversial and polarizing topics of debate such as immigration, national safety and (Italian) nationalism. We found evidence of connections between Italian disinformation sources and different disinformation outlets across Europe, U.S. and Russia, featuring similar, even translated, articles in the period before the elections. Overall, the spread of disinformation on Twitter was confined in a limited community, strongly (and explicitly) related to the Italian conservative and far right political environment, who had a limited impact on online discussions on the up coming elections.
Beneficios da terapia comunitaria integrativa revelados por usuarios de substancias psicoativas
Year: 2020

Objetivo Identificar os principais beneficios da Terapia Comunitaria Integrativa revelados por usuarios de substancias psicoativas. Metodos Estudo documental, retrospectivo e qualitativo, a partir dos registros das fichas de apreciacao e fechamento das rodas de Terapia Comunitaria Integrativa realizadas em tres instituicoes de recuperacao de dependencia de drogas, localizadas no Vale do Araguaia, Brasil. Foram apreciadas 18 fichas de registro de rodas de Terapia Comunitaria Integrativa (seis registros de rodas realizadas em cada instituicao) que continham o quantitativo e a
The impact of an ageing population on economic growth: an exploratory review of the main mechanisms
Year: 2013

Although a myriad of important theoretical and empirical contributions on ageing populations exist, these contributions are diffuse and lack an integrated vision of the distinct mechanisms through which ageing populations impact on economic growth. As such, in this paper we survey the literature that provides insights on the ageing population and its effect on economic growth. In particular, we sought to uncover the main mechanisms through which ageing impacts on economic growth. The literature review shows that the impact of ageing on the performance of countries is intimately related to the mechanism elected. About 70% of the empirical studies that focused on the 'public social expenditure' mechanism convey a negative impact of ageing on economic performance, whereas the majority (60% of empirical studies that focus on 'human capital' fail to uncover any significant statistical relation between ageing and the economic growth proxy and the positive impact is more closely related to the 'consumption and saving patterns' mechanism. Estimation methodologies also seem to be associated with distinct impacts of ageing on economic growth, with less sophisticated econometric methods (i.e. OLS and panel) being most often associated with negative (cor)relations. The bulk of the empirical evidence concerns developed countries (and the 'public social expenditure' mechanism) with most of the analysis indicating a negative and significant relation between ageing and growth. Given that developed, developing and even the least developed countries are/will be affected by the phenomenon of an ageing population, knowing the degree to which the influence of ageing varies among countries (including developing and the least developed) and through which mechanisms, is essential to specifying sound public policies.
Monetary policy and financial stability: Should central bank lean against the wind?
Year: 2020

After the global financial crisis, it was observed that price stability alone would not ensure financial stability. The new paradigm indeed insists on the inclusion of financial stability as an additional macroeconomic objective. In this context, it is essential to understand how exactly is the new objective of financial stability will be placed in the existing framework. Also, the efficacy of monetary policy in this regard needs to be thoroughly discussed. This paper probes into the employability of monetary policy as a tool to achieve financial stability. We, therefore, compare between interest rates obtained from the standard Taylor rule and asset price augmented Taylor rule in the Indian context. The results suggest that targeting asset prices can be one of the effective ways to contain financial instabilities and consequent economic slumps.
AmritaNLP at SemEval 2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation.
Venue: *SEMEVAL
Year: 2018

The "Capturing Discriminative Attributes" sharedtask is the tenth task, conjoint with SemEval2018. The task is to predict if a word can capture distinguishing attributes of one word from another. We use GloVe word embedding, pre trained on openly sourced corpus for this task. A base representation is initially established over varied dimensions. These representations are evaluated based on validation scores over two models, first on an SVM based classifier and second on a one dimension CNN model. The scores are used to further develop the representation with vector combinations, by considering various distance measures. These measures correspond to offset vectors which are concatenated as features, mainly to improve upon the F1score, with the best accuracy. The features are then further tuned on the validation scores, to achieve highest F1score. Our evaluation narrowed down to two representations, classified on CNN models, having a total dimension length of 1204 1203 for the final submissions. Of the two, the latter feature representation delivered our best F1score of 0.658024 (as per result)
Washback to Classroom Climate: The Case of an IELTS Speaking Preparation Course
Year: 2020

In applied linguistics, washback, or backwash, refers to the influence of tests on teaching and learning. Though there is now a large body of research investigating the impact of tests on educational processes and outcomes, the possible effect of language tests on the psychological environment of language classrooms remains underexplored. This study examined the effect of IELTS on the classroom climate of IELTS speaking preparation courses. To isolate the washback of IELTS, the classroom climate of an IELTS speaking preparation course was compared with that of a general conversation course, both taught by the same teacher. Data were collected using classroom observations and a questionnaire. Sixty seven participants responded to a measure of classroom climate and 4 sessions of each of the noted courses were observed. Data were analyzed, using parametric and nonparametric statistics. It was revealed that IELTS exerted some negative influence on 3 dimensions of classroom climate: student involvement, teacher support, and investigation. In contrast, the washback of IELTS on class cohesiveness, teacher support, investigation, task orientation, as well as on cooperation and equity appeared to be positive. Findings carry implications for language teaching, test preparation, and language classroom management.
The third industrial revolution how lateral power is transforming energy, the economy, and the world
Year: 2011

THE THIRD INDUSTRIAL REVOLUTION The Real Economic Crisis Everyone Missed A New Narrative Turning Theory to Practice PART II: LATERAL POWER Distributed Capitalism Beyond Right and Left From Globalization to Continentalization PART III: THE COLLABORATIVE AGE Retiring Adam Smith A Classroom Makeover Morphing from the Industrial to the Collaborative Era
Use of PET and Other Functional Imaging to Guide Target Delineation in Radiation Oncology.
Venue: Seminars in radiation oncology
Year: 2018

Molecular and functional imaging is increasingly being used to guide radiotherapy (RT) management and target delineation. This review summarizes existing data in several disease sites of various functional imaging modalities, chiefly positron emission tomography/computed tomography (PET/CT) with respect to RT target definition and management. For gliomas, differentiation between postoperative changes and viable tumor is discussed, as well as focal dose escalation and reirradiation. Head and neck neoplasms may also benefit from precise PET/CT based target delineation, especially for cancers of unknown primary; focal dose escalation is also described. In lung cancer, PET/CT can influence coverage of tumor volumes, dose escalation, and adaptive management. For cervical cancer, PET/CT as an adjunct to magnetic resonance imaging planning is discussed, as are dose escalation and delineation of avoidance targets such as the bone marrow. The emerging role of choline based PET for prostate cancer and its impact on dose escalation is also described. Lastly, given the essential role of PET/CT for target definition in lymphoma, phase III trials of PET directed management are reviewed, along with novel imaging modalities. Taken together, molecular and functional imaging approaches offer a major step to individualize radiotherapeutic care going forward.
Dissecting apple tree architecture into genetic, ontogenetic and environmental effects: QTL mapping
Venue: Tree Genetics Genomes
Year: 2008

The present study aimed to dissect tree architectural plasticity into genetic, ontogenetic and environmental effects over the first 4 years of growth of an apple F1 progeny by means of quantitative traits loci (QTL) mapping. Both growth and branching processes were phenotyped on the consecutive annual shoots of different axes within a tree. For each studied trait, predicted values (best linear unbiased predictors, BLUPs) of the genotypic (G) effect or its interaction with tree age (GxA) and climatic year (GxY) were extracted from mixed linear models of repeated data. These BLUPs, which are independent from autocorrelations between repeated measurements, were used for QTL mapping. QTL detection power was improved by this two step approach. For each architectural process, numerous QTLs were detected and some particularly interesting co localised in common genomic regions, for internode lengthening, top diameter, and number and percentage of axillary shoots. When several QTLs were detected for a given trait, global models were estimated, which explained a maximum of 40% of the total variance for both internode length and top diameter and 28% for branching. QTLs detected for BLUPs of GxY effects were interpreted as resulting from the interaction between genetic maximal potential of growth and climatic factors, while those for GxA effects were interpreted in relation to tree ontogeny. Most of the latter ones were found to be concomitant with key development stages during which the trait average started to decrease, but with different magnitudes depending on genotype.
Experimental Comparisons of Semi Supervised Dimensional Reduction Methods
Year: 2011

Semi Supervised learning is one of the hottest research topics in the technological community,which has been developed from the original semi supervised classification and semi supervised clustering to the semi supervised regression and semi supervised dimensionality reduction,etc.At present,there have been several excellent surveys on semi supervised classification: Semi Supervised clustering and semi supervised regression,e.g.Zhu's semi supervised learning literature survey.Dimensionality reduction is one of the key issues in machine learning,pattern recognition,and other related fields.Recently,a lot of research has been done to integrate the idea of semi supervised learning into dimensionality reduction,i.e.semi supervised dimensionality reduction.In this paper,the current semi supervised dimensionality reduction methods are reviewed,and their performances are evaluated through extensive experiments on a large number of benchmark datasets,from which some empirical insights can be obtained.
Growth, Nutrient Assimilation, and Carbohydrate Metabolism in Korean Pine (Pinus koraiensis) Seedlings in Response to Light Spectra
Year: 2019

A need is growing to plant superior Korean pine (Pinus koraiensis Siebold Zucc. seedlings to cope with the degradation of secondary forests in Northeast Eurasia. The goal of this study was to detect the physiological effect on the quality of Korean pine seedlings exposed to a range of spectra. One year old seedlings (n 6) were cultured in three light emitting diode (LED) spectra (69 77 mmol m 2 s 1) of 13.9% red (R) 77.0% green (G) 9.2% blue (B) (R1BG5) 26.2% R 70.2% G 3.5% B (R2BG3) and 42.3% R 57.3% G 0.4% B (R3BG1) The spectrum of high pressure sodium (HPS) lamps (43.9% R 54.7% G 1.5 B) was taken as the reference. Results showed that LED lighting resulted in shorter seedlings with a greater diameter, shoot biomass, assessed quality, and sturdiness compared to those under the HPS lighting. The R3BG1 spectrum reduced the shoot nitrogen (N) deficiency induced by the HPS spectrum, while the R1BG5 treatment induced a steady state uptake of N and phosphorus (P) in whole plant organs. The R1BG5 spectrum also resulted in a higher soluble sugar concentration and higher activities of glutamine synthetase and acid phosphatase in needles compared to the control. Seedlings in the R2BG3 spectrum had the highest concentrations of chlorophyll and soluble protein in the leaves. Overall, the R high LED spectrum could stimulate biomass accumulation in shoot, but meanwhile resulted in a P deficiency. Hence, the LED lighting in the R1BG5 spectrum is recommended to promote the quality of Korean pine seedlings.
On chip controlled synthesis of polycaprolactone nanoparticles using continuous flow microfluidic devices
Venue: Journal of Flow Chemistry
Year: 2020

This systematic investigation assessed the potential applications of microfluidic devices in producing a uniform size distribution of polycaprolactone (PCL) nanoparticles by applying the liquid non solvent precipitation process. Five arrangements of microfluidic devices are fabricated with different designs. The effects of different operational and geometrical factors such as flow rate ratio (FRR) total flow rate (TFR) mixing channel width, mixing channel length, and confluence angles of the inlet channels are investigated on the size, polydispersity index (PDI) and the size distribution of PCL particles. Further, a study was performed to enhance the production throughput of PCL nanoparticles. The mean size of nanoparticles is precisely controlled within the range of 40 370 nm with PDI values of 0.2 0.37. According to the results, the optimal conditions for rapid production of nanoparticles with a size smaller than 200 nm and PDI 0.31 are obtained at FRR of 8, TFR of 70 ml h 1 channel width of 200 mm, channel length of 20 mm, and the confluence angle of 60 o Furthermore, the microfluidic device with a wider channel width of 600 mm provided a higher productivity rate of the PCL nanoparticles with a similar size and lower PDI than those obtained by other widths.
Micr obial contamination of mobile phones in a health care setting in Alexandria, Egypt Mikrobielle Kontamination von Mobiltelefonen in einer Gesundheitseinrichtung in Alexandria, Agypten
Year: 2015

Thisstudyaimedatinvestigatingthemicrobialcontaminationofmobilephonesinahospitalsetting. HebaSayedSelim 1 AmaniFaroukAbaza 1 Methods:Swabsampleswerecollectedfrom40mobilephonesofpa tientsandhealthcareworkersattheAlexandriaUniversityStudents'Hospital.Theyweretestedfortheirbacterialcontaminationatthemi 1MicrobiologyDepartment, Alexandria,Egypt ofbacteriawasperformedusingbothsurfacespreadandpourplatemethods.Isolatedbacterialagentswereidentifiedusingstandardmi crobiologicalmethods.Methicillin resistantStaphylococcusaureuswasidentifiedbydiskdiffusionmethoddescribedbyBauerandKirby.Isol atedGram negativebacilliweretestedforbeingextendedspectrumbetalactamaseproducersusingthedoublediskdiffusionmethodac cordingtotheClinicalandLaboratoryStandardsInstituterecommenda tions.Allofthetestedmobilephones(100%)werecontaminatedwitheithersingleormixedbacterialagents.Themostprevalentbacterialcontaminantsweremethicillin resistantS.aureusandcoagulase neg ativestaphylococcirepresenting53%and50%,respectively.Themeanbacterialcountwas357CFU/ml,whilethemedianwas13CFU/mlusingthepourplatemethod.Thecorrespondingfigureswere2,192and1,720organisms/phoneusingthesurfacespreadmethod.Mobilephonesusageinhospitalsettingsposesariskoftransmissionofavarietyofbacterialagentsincludingmultidrug resistantpathogens as methicillin resistant S.aureus. The surface spreadmethodisaneasyandusefultoolfordetectionandestimationofbac terialcontaminationofmobilephones.mobilephones,bacterialcontamination,handhygiene,MRSA,
Grouplet: A structured image representation for recognizing human and object interactions
Venue: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Year: 2010

Psychologists have proposed that many human object interaction activities form unique classes of scenes. Recognizing these scenes is important for many social functions. To enable a computer to do this is however a challenging task. Take people playing musical instrument (PPMI) as an example; to distinguish a person playing violin from a person just holding a violin requires subtle distinction of characteristic image features and feature arrangements that differentiate these two scenes. Most of the existing image representation methods are either too coarse (e.g. BoW) or too sparse (e.g. constellation models) for performing this task. In this paper, we propose a new image feature representation called "grouplet" The grouplet captures the structured information of an image by encoding a number of discriminative visual features and their spatial configurations. Using a dataset of 7 different PPMI activities, we show that grouplets are more effective in classifying and detecting human object interactions than other state of the art methods. In particular, our method can make a robust distinction between humans playing the instruments and humans co occurring with the instruments without playing.
Traditional to Digital Literacy: The Case of Turkey
Year: 2017

New arguments found ground after the revolution of Gutenberg and importance of reading being elevated in comparison to addressing, delivering original hand writings to masses by copying (Warschauer, 2007) and after centuries, reaching the point of electronic literacy with many innovations. These arguments reached a point suggesting that electronic literacy has also reached its "end" Can the question "is history backtracking in the new millennium" as suggested by Eco (2012) can help us while seeking the answer for the question "what comes after electronic literacy?" In this study, societies that are yet to experience electronic literacy shall be evaluated with a critical perspective under the scope of the example of Turkey, along with new variations that may come about after electronic literacy.