Search results for "T REG"

showing 10 items of 208 documents

Friederike Kind-Kovács. Written Here, Published There: How Underground Literature Crossed the Iron Curtain. Budapest: Central European Universtity Pr…

2015

В коммунистических режимах свободное слово было под запретом. Однако некоторые любящие правду писатели (впрочем, не только они, но и вообще люди интеллигентского круга), не боясь преследований, распространяли свои произведения в самиздате и отправляли их за «железный занавес», где другие такие же свободолюбивые люди печатали их, передавали их содержание по радио. Иногда даже удавалось отправлять несколько напечатанных экземпляров назад на родину автора. Таким образом возникло международное сообщество рыцарей справедливости. Какими плохими дядьками, однако, были эти коммунисты! С такой формулировкой, пусть и наивной по форме, вероятно, мог бы согласится каждый. В этой связи непонятно, для че…

DissidentsLiteratureSettore L-LIN/21 - SlavisticaSamizdatCommunist RegimeIron Curtain
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Tecniche di regolazione del mercato agro-industriale e diritto comune

2018

The paper deals with the latest measures adopted by the European Union in order to protect the financial interests of the Union’ s budget and to prevent any irregularities or non compliance with obligations committed by beneficiaries of payments: particular reference is made to Reg..1306/2013 and Reg.1308/2013. The paper focuses on measures involving both public and private law. Such as the cross-compliance system based on the principle that the full payment to beneficiaries of some supports under the Cap should be linked to compliance with rules concerning land management , agricultural production and agricultural activity; and the duty to use, in the agrifood chain contracts, formalised w…

EU financial interestmarket regulationcivil law measures
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From political controversy to a technical problem? Fifteen years of opioid substitution treatment in Finland

2013

Abstract Background The aim of the article is to analyze changes in opioid substitution treatments (OST) in Finland. OST spread in Finland in the late 1990s and early 2000s (Phase 1). Since then, OST has become an integrated part of Finnish drug policy and is provided in various substance abuse treatment units as well as in municipal health centers (Phase 2). Methods The paper analyses the policy around the implementation of opioid substitution treatment in Finland, focusing on identifying the key factors and the relations between them that have contributed to the implementation of OST in Finland. Results OST has become accepted in Finland during the past ten years as a crucial element of a…

Economic growthTime FactorsRestructuringMedicine (miscellaneous)Poison controlSuicide preventionHeroinDrug UsersHarm ReductionHealth careOpiate Substitution TreatmentHumansMedicineCommunity Health ServicesPolicy MakingFinlandHarm reductionHeroin Dependencebusiness.industryHealth PolicyPoliticsfungiAnalgesics OpioidTreatment OutcomeIncentivePsychological DistancePublic Opinionta5141Government RegulationDrug and Narcotic ControlSubstance Abuse Treatment Centersbusinessmedicine.drugBuprenorphineInternational Journal of Drug Policy
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RENT CREATION AND RENT SHARING: NEW MEASURES AND IMPACTS ON TOTAL FACTOR PRODUCTIVITY

2019

International audience; This analysis proposes new measures of rent creation and rent sharing and assesses their impact on productivity on cross-country-industry panel data. We find first that: (1) anticompetitive product market regulations positively affect rent creation and (2) employment protection legislation boosts hourly wages, particularly for low-skill workers. However, we find no significant impact of this employment legislation on rent sharing, as the hourly wage increases are offset by a negative impact on hours worked. Second, using regulation indicators as instruments, we find that rent creation and rent sharing both have a substantial negative impact on total factor productivi…

Economics and EconometricsLabour economicsProduct marketEmployment protection legislationMARKET REGULATIONSINNOVATIONmedia_common.quotation_subjectJEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption Saving Production Investment Labor Markets and Informal Economy/E.E2.E22 - Investment • Capital • Intangible Capital • Capacityo47 - "Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence"COMPETITIONo25 - Industrial Policylabor market regulationsPANELCompetition (economics)TFPMeasurement of Economic Growth; Aggregate Productivity; Cross-Country Output ConvergenceCapital; Investment; Capacitye24 - "Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital"0502 economics and businessEconomicso30 - "Technological Change; Research and Development; Intellectual Property Rights: General"JEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O47 - Empirical Studies of Economic Growth • Aggregate Productivity • Cross-Country Output Convergence050207 economicsProductivityTotal factor productivityTechnological Change; Research and Development; Intellectual Property Rights: GeneralJEL: E - Macroeconomics and Monetary Economics/E.E2 - Consumption Saving Production Investment Labor Markets and Informal Economy/E.E2.E24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity050205 econometrics media_commonJEL: C - Mathematical and Quantitative Methods/C.C2 - Single Equation Models • Single Variables/C.C2.C23 - Panel Data Models • Spatio-temporal Modelsmark-up05 social sciencesIndustrial Policy[SHS.ECO]Humanities and Social Sciences/Economics and FinanceInvestment (macroeconomics)General Business Management and Accountingrent-sharingJEL: O - Economic Development Innovation Technological Change and Growth/O.O4 - Economic Growth and Aggregate Productivity/O.O4.O43 - Institutions and Growth8. Economic growthUnemploymento43 - Institutions and GrowthEmployment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capitale22 - "Capital; Investment; Capacity"JEL: L - Industrial Organization/L.L5 - Regulation and Industrial Policy/L.L5.L50 - GeneralJEL: O - Economic Development Innovation Technological Change and Growth/O.O3 - Innovation • Research and Development • Technological Change • Intellectual Property Rights/O.O3.O30 - GeneralInstitutions and Growthproduct market regulationsPanel dataEconomic Inquiry
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Regularized extreme learning machine for regression problems

2011

Extreme learning machine (ELM) is a new learning algorithm for single-hidden layer feedforward networks (SLFNs) proposed by Huang et al. [1]. Its main advantage is the lower computational cost, which is especially relevant when dealing with many patterns defined in a high-dimensional space. This paper proposes an algorithm for pruning ELM networks by using regularized regression methods, thus obtaining a suitable number of the hidden nodes in the network architecture. Beginning from an initial large number of hidden nodes, irrelevant nodes are then pruned using ridge regression, elastic net and lasso methods; hence, the architectural design of ELM network can be automated. Empirical studies…

Elastic net regularizationArtificial neural networkbusiness.industryComputer scienceCognitive NeuroscienceFeed forwardMachine learningcomputer.software_genreRegularization (mathematics)Computer Science ApplicationsLasso (statistics)Artificial IntelligenceArtificial intelligencebusinesscomputerExtreme learning machineNeurocomputing
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Prediction of type 2 diabetes mellitus based on nutrition data

2021

Abstract Numerous predictive models for the risk of type 2 diabetes mellitus (T2DM) exist, but a minority of them has implemented nutrition data so far, even though the significant effect of nutrition on the pathogenesis, prevention and management of T2DM has been established. Thus, in the present study, we aimed to build a predictive model for the risk of T2DM that incorporates nutrition data and calculates its predictive performance. We analysed cross-sectional data from 1591 individuals from the population-based Cooperative Health Research in the Region of Augsburg (KORA) FF4 study (2013–14) and used a bootstrap enhanced elastic net penalised multivariate regression method in order to bu…

Elastic net regularizationFood intakeMultivariate statistics24HFL 24-h food listEndocrinology Diabetes and MetabolismPopulation030209 endocrinology & metabolismType 2 diabetesLogistic regression03 medical and health sciences0302 clinical medicinePredictive Value of TestsRisk FactorsElastic net regressionPrediction modelGermanyStatisticsmedicineHumans030212 general & internal medicineeducationNutritionMathematicseducation.field_of_studyNutrition and DieteticsReceiver operating characteristicDietary Surveys and Nutritional EpidemiologyType 2 Diabetes MellitusType 2 diabetesT2DM type 2 diabetes mellitusmedicine.diseasePPV positive predictive valueDietROC receiver operating characteristicCross-Sectional StudiesNPV negative predictive valueDiabetes Mellitus Type 2ROC CurveKORA Cooperative Health Research in the Region of Augsburg24hfl 24-h Food List ; Elastic Net Regression ; Kora Cooperative Health Research In The Region Of Augsburg ; Npv Negative Predictive Value ; Nutrition ; Ppv Positive Predictive Value ; Prediction Model ; Roc Receiver Operating Characteristic ; T2dmResearch ArticleFood ScienceJournal of Nutritional Science
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An entropy-based machine learning algorithm for combining macroeconomic forecasts

2019

This paper applies a Machine Learning approach with the aim of providing a single aggregated prediction from a set of individual predictions. Departing from the well-known maximum-entropy inference methodology, a new factor capturing the distance between the true and the estimated aggregated predictions presents a new problem. Algorithms such as ridge, lasso or elastic net help in finding a new methodology to tackle this issue. We carry out a simulation study to evaluate the performance of such a procedure and apply it in order to forecast and measure predictive ability using a dataset of predictions on Spanish gross domestic product.

Elastic net regularizationKullback–Leibler divergenceComputer scienceGeneral Physics and AstronomyInferencelcsh:Astrophysics02 engineering and technologyMachine learningcomputer.software_genremaximum-entropy inferenceArticleGDPGross domestic productlcsh:QB460-4660502 economics and business0202 electrical engineering electronic engineering information engineeringEntropy (information theory)lcsh:Science050205 econometrics combining predictionsaveragingMacroeconomiabusiness.industry05 social scienceslcsh:QC1-999Economia matemàticaTecnologiaKullback–Leiblerlcsh:Q020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerAlgorithmlcsh:Physics
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A machine learning application to predict early lung involvement in scleroderma: A feasibility evaluation

2021

Introduction: Systemic sclerosis (SSc) is a systemic immune-mediated disease, featuring fibrosis of the skin and organs, and has the greatest mortality among rheumatic diseases. The nervous system involvement has recently been demonstrated, although actual lung involvement is considered the leading cause of death in SSc and, therefore, should be diagnosed early. Pulmonary function tests are not sensitive enough to be used for screening purposes, thus they should be flanked by other clinical examinations

Elastic net regularizationSpirometryMedicine (General)High-resolution computed tomographyArtificial intelligenceClinical BiochemistryDiseaseMachine learningcomputer.software_genreArticlePulmonary function testingR5-920Machine learningmedicineCause of deathEsophageal dilatationintegumentary systemmedicine.diagnostic_testbusiness.industryHRCT chestRegressionRandom forestArtificial intelligence; Esophageal dilatation; HRCT chest; Machine learning; Systemic sclerosisSystemic sclerosisArtificial intelligencebusinesscomputer
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Preliminary application of thermoluminescence and single aliquot regeneration method for dose reconstruction in soda lime glass

2013

The research described in this paper shows that the use of the single aliquot regeneration (SAR) method for thermoluminescence (TL) measurements applied to soda lime glasses allows to carry out a retrospective dose evaluation. We have followed a fast and efficient sample preparation procedure which permits measurements without powdering and sieving processes. We have analyzed the TL signal of commercial soda lime watch glass irradiated with 6 Mega Volts (MV) LINAC photons, 10 MeV LINAC electrons and 62 MeV protons. After the initial exposure and following TL reading, the samples are successively irradiated with increasing doses of photons. Therefore, for each sample its calibration curve is…

Electron beamSoda-lime glassNuclear and High Energy PhysicsMaterials scienceThermoluminescenceCalibration curveRadiochemistryMineralogyThermoluminescenceProton beamchemistry.chemical_compoundSoda limechemistrySoda lime watch glasseCathode rayPhoton beamSample preparationIrradiationSingle aliquot regeneration methodWatch glassInstrumentationNuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
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Product and Labour Market Regulations, Production Prices, Wages and Productivity

2016

ACLN; International audience; This study is an attempt to evaluate the effects of product and labour market regulations on industry productivity through their various impacts on changes in production prices and wages. In a first stage, the estimation of a regression equation on an industry*country panel, with controls for country*industry and country*year fixed effects, show that multi-factor productivity is negatively and significantly influenced by both indicators of industrial prices from same industry and weighted average of industrial prices from other industries, and by indicators of country wages weighted by industry labour shares for low and high skilled workers. In a second stage, …

EmbryologyLabour economicsmedia_common.quotation_subjectjel:C23Multifactor productivityInternational trade[SHS]Humanities and Social SciencesDeregulation[ SHS ] Humanities and Social Sciences0502 economics and businessjel:O43050602 political science & public administration[ SHS.ECO ] Humanities and Social Sciences/Economies and financesProduction (economics)jel:O47050207 economicsmarket regulationsProductivityhealth care economics and organizationsProductivitymedia_commonEstimationbusiness.industry05 social sciencesEconomic rentProductivity market imperfections anti-competitive regulations rentsCell Biology[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:L500506 political scienceRentsProduct (business)jel:L168. Economic growthAnatomybusinessWeighted arithmetic meanDevelopmental BiologyReview of Economics and Institutions
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