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Words apart:Standardizing forestry terms and definitions across European biodiversity studies

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森林生态系统:英文版 2023年第4期10卷 459-471页

作者： Giovanni Trentanovi Thomas Campagnaro Tommaso Sitzia Francesco Chianucci Giorgio Vacchiano Christian Ammer MichałCiach Thomas ANagel Miren del Río Yoan Paillet Silvana Munzi Kris Vandekerkhove Andrés Bravo-Oviedo Andrea Cutini Ettore D'Andrea Pallieter De Smedt Inken Doerfler dimitris fotakis Jacob Heilmann-Clausen Jeňýk Hofmeister Jan Hošek Philippe Janssen Sebastian Kepfer-Rojas Nathalie Korboulewsky Bence Kovács Daniel Kozák Thibault Lachat Anders Mårell Radim Matula Martin Mikoláš Björn Nordén PéterÓdor x Marko Perović Elisabeth Pötzelsberger Peter Schall Miroslav Svoboda Flóra Tinya Mariana Ujházyová Sabina Burrascano Research Institute on Terrestrial Ecosystems-National Research Council(IRET-CNR) Via Madonna Del Piano 1950019Sesto FiorentinoFIItaly Department of Land EnvironmentAgriculture and ForestryUniversitàdegli Studi di PadovaViale Dell’Università1635020LegnaroPDItaly National Biodiversity Future Center Piazza Marina 6190133PalermoItaly CREA Research Centre for Forestry and Wood Viale S.Margherita 8052100ArezzoItaly Department of Agricultural and Environmental Sciences(DISAA) University of MilanVia Celoria 220133MilanItaly Silviculture and Forest Ecology of the Temperate Zones University of GöttingenGermany Department of Forest Biodiversity Faculty of ForestryUniversity of Agricultureal.29 Listopada 4631-425KrakówPoland Department of Forestry and Renewable Forest Resources Biotechnical FacultyUniversity of LjubljanaVecna pot 831000LjubljanaSlovenia Instituto de Ciencias Forestales(ICIFOR-INIA) CSICCtra.de la Coruña Km 7.528040MadridSpain University Grenoble Alpes LessemINRAE2 Rue de la Papeterie38402 Saint-Martin-d'HèresFrance Centro Interuniversitário de História Das Ciências e da Tecnologia Faculdade de CiênciasUniversidade de LisboaPortugal Centre for Ecology Evolution and Environmental ChangesFaculdade de Ciências&CHANGE-Global Change and Sustainability InstituteUniversidade de LisboaPortugal Research Institute for Nature and Forest(INBO) Havenlaan 88 Bus 731000BrusselBelgium Department of Biogeography and Global Change National Museum of Natural Sciences-CSICC/Serrano 115bis28006MadridSpain Research Institute on Terrestrial Ecosystems-National Research Council(IRET-CNR) Via G.Marconi N.205010PoranoTRItaly Forest&Nature Lab Department of EnvironmentGhent UniversityGeraardsbergsesteenweg 2679090GontrodeBelgium Institute of Biology and Environmental Science Vegetation Science&Nature ConservationUniversity of OldenburgAmmerländer Heerstraße 114-11826129OldenburgGermany Forest Research Institute Hellenic Agricultural Organization DimitraVassilikaThessal

Forest biodiversity studies conducted across Europe use a multitude of forestry terms,often inconsistently.This hinders the comparability across studies and makes the assessment of the impacts of forest management on biodiversity highly context-dependent.Recent attempts to standardize forestry and stand description terminology mostly used a top-down approach that did not account for the perspectives and approaches of forest biodiversity experts.This work aims to establish common standards for silvicultural and vegetation definitions,creating a shared conceptual framework for a consistent study on the effects of forest management on biodiversity.We have identified both strengths and weaknesses of the silvicultural and vegetation information provided in forest biodiversity studies.While quantitative data on forest biomass and dominant tree species are frequently included,information on silvicultural activities and vegetation composition is often lacking,shallow,or based on broad and heterogeneous classifications.We discuss the existing classifications and their use in European forest biodiversity studies through a novel bottom-up and top-driven review process,and ultimately propose a common framework.This will enhance the comparability of forest biodiversity studies in Europe,and puts the basis for effective implementation and monitoring of sustainable forest management policies.The standards here proposed are potentially adaptable and applicable to other geographical areas and could be extended to other forest interventions.

关键词： Forest management Multi-taxon Terminology Silviculture Data harmonization

Assessing the externalities of a ski resort in Tzoumerka:willingness to pay in order to promote or to prevent its construction

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Journal of Mountain Science 2022年第8期19卷 2420-2434页

作者： PAPPA Dimitra KALIAMPAKOS dimitris School of Mining and Metallurgical Engineering National Technical University of AthensZographou NTUA Campus(Politechneioupoli Zographou)Heroon Polytechniou Street 915780 ZographouGreece

The present study aims to assess the externalities of a ski resort,that is planned to be built at Tzoumerka mountains,in Greece.The research relies on the Contingent Valuation method,which indirectly estimates the economic value of environmental and other nonmarket assets,based on the expressed preferences of members of a social group.The investigation was based on primary data.The core idea of questionnaire’s design,is subject to the use of a double WTP(willingness to pay)question,aiming at the monetary assessment of the attitude of the residents,regarding the upcoming infrastructure project,taking into account both its positive and its negative externalities.Depending on the attitude of the survey respondents,they were asked to decide if they wish to offer an amount of money either to promote or to prevent the construction of the ski resort.Parametric and non-parametric models were then applied in order to calculate in economic terms the expressed opinion of the respondents.The primary question to be answered is whether the willingness to build the ski resort holds a higher economic value than the desire to prevent it.According to the results of the survey,the vast majority of residents(92.4%)supported the idea of building the ski resort,projecting their apparent desire for the tourist and economic development of the area.The reinforcement of the construction idea of the project was estimated on average at €378,200.The very low proportion of the participants who disagreed with the project(5%),did not allow the economic assessment of its prevention,leaving room for further research into the application of Contingent Valuation method and its contribution in cost-benefit analysis and decision making,regarding upcoming projects.

关键词： Ski resort Contingent Valuation Method Willingness to pay Tzoumerka Mountain resources Assessing externalities

Medical transportation and the contribution of air medical evacuation in isolated mountainous areas of Greece-Case study,Municipality of Agrafa

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Journal of Mountain Science 2022年第11期19卷 3178-3191页

作者： Ioanna KARANI Anastasios BALASKAS dimitris KALIAMPAKOS School of Rural Surveying and Geoinformatics EngineeringNational Technical University of AthensAthens 15780Greece School of Mining and Metallurgical Engineering National Technical University of AthensAthens 15780Greece Metsovion Interdisciplinary Research Center National Technical University of AthensAthens 15780Greece

In every emergency medical situation,access to emergency medical services is an inalienable right of any citizen.The average acceptable time to provide first aid assistance is 60 minutes.In this paper,the possibility of using helicopters for air travel in mountainous areas was examined for the first time for all of Greece and especially for a mountainous and isolated area such as the Municipality of Agrafa.Initially,the time distance-virtual distance,from the hospitals was calculated at the national level of Greece,with an acceptable first contact time of 60 minutes(golden hour),i.e.,less than two hours from the nearest hospital to the incident and back to the hospital and the relevant conclusions are drawn.Then,the case study of Municipality of Agrafa,one of the most mountainous areas in Greece,was examined.The time distance of the settlements from the nearest primary health point,namely the Primary Health Centre(PHC)of West Fragkista,was calculated and the transportation by ground means was compared with the corresponding time by flying means,to investigate the contribution of air transportation or not,of the timely arrival of the patients in the appropriate health structure.Finally,possible helicopter landing locations were identified,using a geographic information system to facilitate the process of air medical transportation in the Municipality of Agrafa.

关键词： Civil air transport Mountain areas Landing sites Travel time Greece

Characteristic time scale as optimal input in Machine Learning algorithms:Homogeneous autoignition

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Energy and AI

Energy and AI 2023年第4期14卷 238-252页

作者： Mohammed I.Radaideh Stelios Rigopoulos dimitris A.Goussis Department of Mechanical Engineering Khalifa University of Science and TechnologyAbu Dhabi 127788United Arab Emirates Imperial College London Mechanical Engineering South Kensington Campus London SW72AZUnited Kingdom Research and Innovation Center on CO_(2)and H_(2) Khalifa University of Science and TechnologyAbu Dhabip127788United Arab Emirates

Considering temporally evolving processes,the search for optimal input selection in Machine Learning(ML)algorithms is extended here beyond(i)the readily available independent variables defining the process and(ii)the dependent variables suggested by feature extraction methods,by considering the time scale that characterizes the process.The analysis is based on the process of homogeneous autoignition,which is fully determined by the initial temperature T(0)and pressure p(0)of the mixture and the equivalence ratio𝜙that specifies the initial mixture composition.The aim is to seek the optimal input for the prediction of the time at which the mixture ignites.The Multilayer Perceptron(MLP)and Principal Component Analysis(PCA)algorithms are employed for prediction and feature extraction,respectively.It is demonstrated that the time scale that characterizes the initiation of the process𝜐𝑓(0),provides much better accuracy as input to MLP than any pair of the three independent parameters T(0),p(0)and𝜙or their two principal components.Indicatively,it is shown that using𝜐𝑓(0)as input results in a coefficient of determination R 2 in the range of 0.953 to 0.982,while the maximum value of R 2 when using the independent parameters or principal components is 0.660.The physical grounds,on which the success of𝜐𝑓(0)is based,are discussed.The results suggest the need for further research in order to develop selection methodologies of optimal inputs among those that characterize the process.

关键词： Machine Learning Feature selection Autoignition

Role of genetic testing in cardiomyopathies:Αprimer for cardiologists

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World Journal of Cardiology 2022年第1期14卷 29-39页

作者： Georgia Vogiatzi George Lazaros Evangelos Oikonomou Emilia Lazarou Emmanouil Vavuranakis dimitris Tousoulis The Third Department of Cardiology Sotiria HospitalAthens 11527Greece The First Department of Cardiology Hippokration HospitalAthens 11526Greece The First Department of Cardiology Hippokration HospitalMedical School of National and Kapodistrian University of AthensAthens 11527Greece

Recent advances in cardiovascular genetics have transformed genetic testing into a valuable part of management of families with inherited cardiomyopathies.As novel mutations have been identified,understanding when to consider genetic testing has emerged as an important consideration in the management of these cases.Specific genetic testing has a paramount importance in the risk stratification of family members,in the prognosis of probands at higher risk of a serious phenotype expression,and finally in the identification of new mutations,all of which are discussed in this review.The indications for each type of cardiomyopathy are described,along with the limitations of genetic testing.Finally,the importance of public sharing of variants in large data sets is emphasized.The ultimate aim of this review is to present key messages about the genetic testing process in order to minimize potential harms and provide suggestions to specialized clinicians who act as a part of a multidisciplinary team in order to offer the best care to families with inherited cardiomyopathies.

关键词： Cardiomyopathy Genetic counselling Genetic testing Variant Hereditary

Diabetes mellitus and atrial fibrillation-from pathophysiology to treatment

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World Journal of Diabetes 2023年第5期14卷 512-527页

作者： Marianna Leopoulou Panagiotis Theofilis Athanasios Kordalis Nikolaos Papageorgiou Marios Sagris Evangelos Oikonomou dimitris Tousoulis 1^(st)Cardiology Clinic ‘Hippokration’General HospitalNational and Kapodistrian University of AthensSchool of MedicineAthens 11527Greece 3^(rd)Cardiology Clinic ‘Sotiria’Chest Diseases HospitalNational and Kapodistrian University of AthensSchool of MedicineAthens 11527Greece

Type 2 diabetes mellitus(T2DM)is a leading risk factor for cardiovascular complications around the globe and one of the most common medical conditions.Atrial fibrillation(AF)is the most common supraventricular arrhythmia,with a rapidly increasing prevalence.T2DM has been closely associated with the risk of AF development,identified as an independent risk factor.Regarding cardiovascular complications,both AF and T2DM have been linked with high mortality.The underlying pathophysiology has not been fully determined yet;however,it is multifactorial,including structural,electrical,and autonomic pathways.Novel therapies include pharmaceutical agents in sodium-glucose cotransporter-2 inhibitors,as well as antiarrhythmic strategies,such as cardioversion and ablation.Of interest,glucose-lowering therapies may affect the prevalence of AF.This review presents the current evidence regarding the connection between the two entities,the pathophysiological pathways that link them,and the therapeutic options that exist.

关键词： Atrial fibrillation Diabetes mellitus Pathophysiology Treatment

Assessing the Economic Value of Vernacular Architecture of Mountain Regions Using Contingent Valuation

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Journal of Mountain Science 2011年第5期8卷 629-640页

作者： Stella GIANNAKOPOULOU dimitris DAMIGOS dimitris KALIAMPAKOS School of Architectural Engineering National Technical University of Athens School of Mining and Metallurgical Engineering National Technical University of Athens

Human pressure on mountain resources poses certain threats to their natural and man-made environment. Although there are many parameters involved, one of the driving forces behind this situation is the emphasis given so far only to the market value of mountain goods and services, ignoring the true social and environmental costs of using mountain resources. Towards this direction, the use of non-market valuation techniques could prove to be beneficial. Bearing in mind the above remarks, the paper presents an application of the Contingent Valuation Method, which aims at estimating the monetary value of a mountain settlement’s vernacular architecture, namely Metsovo. For this purpose, the survey focuses on Metsovo visitors’ willingness to pay a single annual voluntary contribution to an institution that would be founded in order to undertake all necessary actions required to preserve the town’s traditional character. The results are very promising and indicate that vernacular architecture holds a significant economic value that could justify the implementation of appropriate policies towards the protection of vernacular settlements in mountain areas.

关键词：经济价值评估山区资源民居建筑估价市场价值人为环境自然灾害环境成本

How random is the random forest ? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease neuroimaging initiative(ADNI) database

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Neural Regeneration Research 2018年第6期13卷 962-970页

作者： Stavros I.Dimitriadis dimitris Liparas Division of Psychological Medicine and Clinical Neurosciences School of Medicine Cardiff University Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University School of Psychology Cardiff University Neuroinformatics Group Cardiff University Brain Research Imaging Centre School of Psychology Cardiff University Neuroscience and Mental Health Research Institute Cardiff University MRC Centre for Neuropsychiatric Genetics and Genomics School of Medicine Cardiff University High Performance Computing Center Stuttgart (HLRS) University of Stuttgart Department of Informatics Aristotle University of Thessaloniki

Neuroinformatics is a fascinating research field that applies computational models and analytical tools to high dimensional experimental neuroscience data for a better understanding of how the brain functions or dysfunctions in brain diseases. Neuroinformaticians work in the intersection of neuroscience and informatics supporting the integration of various sub-disciplines（behavioural neuroscience, genetics, cognitive psychology, etc.） working on brain research. Neuroinformaticians are the pathway of information exchange between informaticians and clinicians for a better understanding of the outcome of computational models and the clinical interpretation of the analysis. Machine learning is one of the most significant computational developments in the last decade giving tools to neuroinformaticians and finally to radiologists and clinicians for an automatic and early diagnosis-prognosis of a brain disease. Random forest（RF） algorithm has been successfully applied to high-dimensional neuroimaging data for feature reduction and also has been applied to classify the clinical label of a subject using single or multi-modal neuroimaging datasets. Our aim was to review the studies where RF was applied to correctly predict the Alzheimer＇s disease（AD）, the conversion from mild cognitive impairment（MCI） and its robustness to overfitting, outliers and handling of non-linear data. Finally, we described our RF-based model that gave us the 1 ^（st） position in an international challenge for automated prediction of MCI from MRI data.

关键词： random forest Alzheimer＇s disease mild cognitive impairment neuroimaging classification machine learning biomarker magnetic resonance imaging

Energy poverty in the mountainous town of Metsovo,Greece

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Journal of Mountain Science 2021年第9期18卷 2240-2254页

作者： Anastasios BALASKAS Lefkothea PAPADA Nikolas KATSOULAKOS dimitris DAMIGOS dimitris KALIAMPAKOS School of Mining and Metallurgical Engineering National Technical University of Athens9 Heroon Polytechneiou Str.ZographosAthens 15780Greece Metsovion Interdisciplinary Research Center National Technical University of Athens9 Heroon Polytechneiou Str.ZographosAthens 15780Greece

In an attempt to enhance knowledge on the energy poverty phenomenon in mountainous areas,a primary social survey was conducted in a typical mountainous town of Greece,Metsovo in the Region of Epirus.The survey recorded quantitative data of energy expenses and incomes of households and it also captured qualitative indicators related to energy poverty.The findings showed that nine out of ten households in Metsovo are exposed to energy poverty,based on the objective 10%index.The subjective indicators revealed other interesting aspects of the problem.Over one-third of the local population live in houses that are inadequately heated and/or present damp problems.Almost two-thirds of the local population have been forced to restrict other basic needs,in order to respond to high energy costs.Studying the relationships between variables of the survey also revealed some notable issues.Households inadequately heated present statistical significant correlation with the heating system used.The inadequately heated houses are also correlated with houses that presented damp-mould problems,as well as households that report arrears in energy bills.Moreover,reduction in hours of heating system operation is correlated with health problems.Current energy policy in Greece does not include specific strategies for mountainous areas,apart from some differentiations in heating oil subsidies.The great extent of energy poverty in mountainous Greece,highlighted by the present representative(with respect to mountainous Greece)study,may have irreversible social impacts.Hence,a need for specific and effective action is necessary,whose main axes should be an extensive upgrade of buildings’energy efficiency in mountainous settlements and special fuel tariffs for mountainous areas.

关键词： Energy poverty Mountainous areas Metsovo Social survey Households