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  • Q1-390  (1,491)
  • English  (1,489)
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  • 11
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    Remote Sensing Applications for Agriculture and Crop Modelling (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling,
    Keywords: G1-922 ; Q1-390 ; nitrogen nutrition index ; n/a ; soil organic carbon ; yield estimation ; hyperspectral sensor ; crop modeling ; crop residue management ; land use change ; flat-fan atomizer ; vegetation index ; septoria tritici blotch ; crop simulation model ; temporal variability ; spectral-weight variations in fused images ; plant ; EPIC model ; large cardamom ; crop inventory ; proximal sensing ; sorghum biomass ; soil ; UAV ; Integrated Administration and Control System ; canopy temperature depression ; fractional cover ; Cropsim-CERES Wheat ; hyperspectral data ; yield ; wheat ; precision farming ; SPAD ; AquaCrop ; prediction modeling ; spectral simulation ; leaf nitrogen concentration ; machine learning ; crop production ; protein content ; Á Trous algorithm ; spatial variability ; variable rate technology ; crop type mapping ; Tarim Basin ; leaf area index ; management zone ; irrigation ; multi-spectral ; agricultural land-cover ; crop modelling ; dynamic model ; satellite images ; climate change ; control variables ; generalized model ; Sentinel-2 satellite imagery ; vegetation indices ; vegetable monitoring ; Sentinel-2 ; remote sensing ; cultivars ; crop growth model ; yield monitoring ; big data technology ; conservation agriculture ; GIS ; fAPAR ; droplet drift ; simulation analysis ; durum wheat ; hydroponic ; grain yield ; Leaf Area Index ; NDVI ; precision agriculture ; relative frequencies ; soil stoichiometry ; habitat assessment ; data assimilation ; satellite ; species modelling ; ?13C ; disease ; nitrogen ; yield mapping ; UAV chemical application ; RGB images ; decision support system for agrotechnology transfer (DSSAT) ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
    Language: English
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  • 12
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    Viticulture and Winemaking under Climate Change (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: The importance of viticulture and the winemaking socio-economic sector is acknowledged worldwide. The most renowned winemaking regions show very specific environmental characteristics, where climate usually plays a central role. Considering the strong influence of weather and climatic factors on grapevine yields and berry quality attributes, climate change may indeed significantly impact this crop. Recent trends already point to a pronounced increase in growing season mean temperatures, as well as changes in precipitation regimes, which have been influencing wine typicity across some of the most renowned winemaking regions worldwide. Moreover, several climate scenarios give evidence of enhanced stress conditions for grapevine growth until the end of the century. Although grapevines have high resilience, the clear evidence for significant climate change in the upcoming decades urges adaptation and mitigation measures to be taken by sector stakeholders. To provide hints on the abovementioned issues, we have edited a Special Issue entitled “Viticulture and Winemaking under Climate Change”. Contributions from different fields were considered, including crop and climate modeling, and potential adaptation measures against these threats. The current Special Issue allows for the expansion of scientific knowledge in these particular fields of research, as well as providing a path for future research.
    Keywords: QC851-999 ; Q1-390 ; stomatal conductance ; mechanical thinning ; predawn water potential ; modeling ; CIRG ; adaptation ; EURO-CORDEX ; vineyards ; Portugal ; yield formation ; photosynthesis ; Douro wine region ; rootstock ; autochthonous cultivar ; plant architecture ; climatic influence ; multi-temporal analysis ; intercellular CO2 ; winemaking ; leaf water potential ; micrometeorology ; Touriga Franca ; dry mass partitioning ; ’Uva Rey’ ; crop water stress index ; global warming ; adaptation measures ; kaolin ; wine ; natural hail ; rate of anthocyanin accumulation ; grape berry tissues ; water status ; temperature ; low-input ; Vitis vinifera L. ; photosynthetic pigments ; S-ABA ; unmanned aerial vehicles ; climate ; water limitation ; elevated CO2 ; spatial variability ; bioactive compounds ; FACE ; Touriga Nacional ; grapevine ; PRI ; general circulation model ; Vitis vinifera ; berry composition ; sensory analysis ; B. cinerea mold ; crop model ; vigour maps ; irrigation ; precision viticulture ; phenology modelling platform ; SO2 pads ; RCP4.5 ; climate change ; viticultural training system ; crop management ; microclimate ; Virtual Riesling ; light micro-climates ; remote sensing ; grape ; pulse amplitude modulated (PAM) fluorometry ; modelling ; mitigation strategies ; normalized difference vegetation index ; crop surface model ; plant material ; grape quality ; parasitoid ; production system ; Botrytis cinerea ; technological and phenolic ripeness ; training system ; WI ; phenological model ; phenolics ; table grapes ; Vitis vinifera (L.) ; phenology ; assimilation ; grapevine pest ; drought ; viticulture ; physiological processes ; mealybug ; leaf area ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology
    Language: English
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  • 13
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    Statistical Analysis and Stochastic Modelling of Hydrological Extremes (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.
    Keywords: QC851-999 ; Q1-390 ; artificial neural network ; downscaling ; innovative methods ; reservoir inflow forecasting ; simulation ; extreme events ; climate variability ; sparse monitoring network ; weighted mean analogue ; sampling errors ; precipitation ; drought indices ; discrete wavelet ; SWSI ; hyetograph ; trends ; climate change ; SIAP ; Kabul river basin ; Hurst exponent ; extreme rainfall ; evolutionary strategy ; the Cauca River ; hydrological drought ; global warming ; least square support vector regression ; polynomial normal transform ; TRMM ; satellite data ; Fiji ; heavy storm ; flood regime ; compound events ; random forest ; uncertainty ; seasonal climate forecast ; INDC pledge ; Pakistan ; wavelet artificial neural network ; HBV model ; temperature ; APCC Multi-Model Ensemble ; meteorological drought ; flow regime ; high resolution ; rainfall ; clausius-clapeyron scaling ; statistical downscaling ; ENSO ; forecasting ; variation analogue ; machine learning ; extreme rainfall analysis ; hydrological extremes ; multivariate modeling ; monsoon ; non-stationary ; support vector machine ; ANN model ; stretched Gaussian distribution ; drought prediction ; non-normality ; statistical analysis ; extreme precipitation exposure ; drought analysis ; extreme value theory ; streamflow ; flood management ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBP Meteorology and climatology
    Language: English
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  • 14
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    Advances in Quantitative Remote Sensing in China – In Memory of Prof. Xiaowen Li (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.
    Keywords: G1-922 ; Q1-390 ; gross primary production (GPP) ; interference filter ; Visible Infrared Imaging Radiometer Suite (VIIRS) ; cost-efficient ; precipitation ; topographic effects ; land surface temperature ; Land surface emissivity ; scale effects ; spatial-temporal variations ; statistics methods ; inter-annual variation ; spatial representativeness ; FY-3C/MERSI ; sunphotometer ; PROSPECT ; passive microwave ; flux measurements ; urban scale ; vegetation dust-retention ; multiple ecological factors ; leaf age ; standard error of the mean ; LUT method ; spectra ; SURFRAD ; Land surface temperature ; aboveground biomass ; uncertainty ; land surface variables ; copper ; Northeast China ; forest disturbance ; end of growing season (EOS) ; random forest model ; probability density function ; downward shortwave radiation ; machine learning ; MODIS products ; composite slope ; daily average value ; canopy reflectance ; spatiotemporal representative ; light use efficiency ; hybrid method ; disturbance index ; quantitative remote sensing inversion ; SCOPE ; GPP ; South China’s ; anisotropic reflectance ; vertical structure ; snow cover ; land cover change ; start of growing season (SOS) ; MS–PT algorithm ; aerosol ; pixel unmixing ; HiWATER ; algorithmic assessment ; surface radiation budget ; latitudinal pattern ; ICESat GLAS ; vegetation phenology ; SIF ; metric comparison ; Antarctica ; spatial heterogeneity ; comprehensive field experiment ; reflectance model ; sinusoidal method ; NDVI ; BRDF ; cloud fraction ; NPP ; VPM ; China ; dense forest ; vegetation remote sensing ; 〈i〉Cunninghamia〈/i〉 ; high resolution ; geometric-optical model ; phenology ; LiDAR ; ZY-3 MUX ; point cloud ; multi-scale validation ; Fraunhofer Line Discrimination (FLD) ; rice ; fractional vegetation cover (FVC) ; interpolation ; high-resolution freeze/thaw ; drought ; Synthetic Aperture Radar (SAR) ; controlling factors ; sampling design ; downscaling ; n/a ; Chinese fir ; MRT-based model ; RADARSAT-2 ; northern China ; leaf area density ; potential evapotranspiration ; black-sky albedo (BSA) ; decision tree ; CMA ; fluorescence quantum efficiency in dark-adapted conditions (FQE) ; surface solar irradiance ; validation ; geographical detector model ; vertical vegetation stratification ; spatiotemporal distribution and variation ; gap fraction ; phenological parameters ; spatio-temporal ; albedometer ; variability ; GLASS ; gross primary productivity (GPP) ; EVI2 ; machine learning algorithms ; latent heat ; GLASS LAI time series ; boreal forest ; leaf ; maize ; heterogeneity ; temperature profiles ; crop-growing regions ; satellite observations ; rugged terrain ; species richness ; voxel ; LAI ; TMI data ; GF-1 WFV ; spectral ; HJ-1 CCD ; leaf area index ; evapotranspiration ; land-surface temperature products (LSTs) ; SPI ; AVHRR ; Tibetan Plateau ; snow-free albedo ; PROSPECT-5B+SAILH (PROSAIL) model ; MCD43A3 C6 ; 3D reconstruction ; photoelectric detector ; multi-data set ; BEPS ; aerosol retrieval ; plant functional type ; multisource data fusion ; remote sensing ; leaf spectral properties ; solo slope ; land surface albedo ; longwave upwelling radiation (LWUP) ; terrestrial LiDAR ; AMSR2 ; geometric optical radiative transfer (GORT) model ; MuSyQ-GPP algorithm ; tree canopy ; FY-3C/MWRI ; meteorological factors ; solar-induced chlorophyll fluorescence ; metric integration ; observations ; polar orbiting satellite ; arid/semiarid ; homogeneous and pure pixel filter ; thermal radiation directionality ; biodiversity ; gradient boosting regression tree ; forest canopy height ; Landsat ; subpixel information ; MODIS ; humidity profiles ; NIR ; geostationary satellite ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
    Language: English
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  • 15
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    Application of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) in East Asia (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-09
    Description: To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope and firmly believe that scientific development in East Asia and our understanding of this typical region will be further advanced.
    Keywords: G1-922 ; Q1-390 ; sensitivity analysis ; non-point source pollution models ; reservoirs ; operation rule ; East Asia ; climate variability ; Qinghai-Tibet Plateau (TP) ; potential evapotranspiration ; precipitation ; capacity distribution ; GLUE ; soil temperature ; land use change ; JBR ; CFSR ; Jinsha River Basin ; impact ; runoff ; CMADS ; hydrological modeling ; aggregated reservoir ; reanalysis products ; Lijiang River ; spatio-temporal ; uncertainty ; total nitrogen ; Han River ; streamflow simulation ; meteorological ; CMADS-ST ; Erhai Lake Basin ; uncertainty analysis ; Biliuhe reservoir ; hydrological ; bayesian model averaging ; blue and green water flows ; SUFI-2 ; TMPA-3B42V7 ; statistical analysis ; satellite-derived rainfall ; streamflow ; satellite-based products ; Xiang River basin ; SWAT hydrological simulation ; PERSIANN-CDR ; hydrological processes ; SUFI2 ; CMADS dataset ; ParaSol ; hydrological modelling ; accumulation ; meteorological input uncertainty ; soil moisture content ; Yellow River ; SWAT ; Noah LSM-HMS ; sediment yield ; Yalong River ; TRMM ; Penman-Monteith ; IMERG ; PERSIANN ; hydrological elements ; freeze–thaw period ; land-use change ; parameter sensitivity ; China ; reservoir parameters ; soil moisture ; sloping black soil farmland ; hydrological model ; SWAT model ; hydrologic model ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
    Language: English
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  • 16
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    Etisk skjønn i forskning (2021)
    Scandinavian University Press (Universitetsforlaget)
    Details
    Publication Date: 2024-04-08
    Description: Forskningsetisk skjønn angår alle forskere. Denne boka diskuterer en rekke viktige problemstillinger om hvordan skjønn bør utøves. Forskningsetisk skjønn angår alle forskere og mange som på andre måter er involvert i forskning. Forskeren bruker skjønn i valg av forskningsspørsmål, metode, fremferd overfor dem det forskes på, sikring av informasjon og formidling av forskningsresultater. Forskningsetiske komiteer og forskningsforvaltning har et spesielt ansvar for både selv å utøve og å tilrettelegge for utøvelse av godt forskningsetisk skjønn. Bidragene i denne boka tematiserer ulike etiske problemstillinger som oppstår i forskning og i forholdet mellom forskning, forskningsvurdering og samfunn. Hva kan og bør tillegges skjønn? Hva kreves av godt skjønn? Og hvordan kan man unngå vilkårlighet i skjønnsutøvelsen? God forskningsetisk skjønnsutøvelse støttes av refleksjon rundt hva skjønnsutøvelsen består i, og hva som skal til for å hjelpe den frem. Boka har som ambisjon å bidra til slik refleksjon. Bidragsytere er Anette Brunovskis, Kristine Bærøe, Jakob Elster, Kjersti Fjørtoft, Hallvard J. Fossheim, Helene Ingierd, Deborah H. Oughton, Knut W. Ruyter og Torkild Vinther.
    Keywords: BJ1-1725 ; B1-5802 ; Q1-390 ; bic Book Industry Communication::H Humanities::HP Philosophy::HPS Social & political philosophy ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTS Social and political philosophy
    Language: Norwegian
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  • 17
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    Cancer Nanotheranostics: What Have We Learned So Far? (2021)
    Frontiers Media SA
    Details
    Publication Date: 2024-04-05
    Description: After a quarter of century of rapid technological advances, research has revealed the complexity of cancer, a disease intimately related to the dynamic transformation of the genome. However, the full understanding of the molecular onset of this disease is still far from achieved and the search for mechanisms of treatment will follow closely. It is here that Nanotechnology enters the fray offering a wealth of tools to diagnose and treat cancer. In fact, the National Cancer Institute predicts that over the next years, nanotechnology will result in important advances in early detection, molecular imaging, targeted and multifunctional therapeutics, prevention and control of cancer. Nanotechnology offers numerous tools to diagnose and treat cancer, such as new imaging agents, multifunctional devices capable of overcome biological barriers to deliver therapeutic agents directly to cells and tissues involved in cancer growth and metastasis, and devices capable of predicting molecular changes to prevent action against precancerous cells. Nanomaterials-based delivery systems in Theranostics (Diagnostics & Therapy) provide better penetration of therapeutic and diagnostic substances within the body at a reduced risk in comparison to conventional therapies. At the present time, there is a growing need to enhance the capability of theranostics procedures where nanomaterials-based sensors may provide for the simultaneous detection of several gene-associated conditions and nanodevices with the ability to monitor real-time drug action. These innovative multifunctional nanocarriers for cancer theranostics may allow the development of diagnostics systems such as colorimetric and immunoassays, and in therapy approaches through gene therapy, drug delivery and tumor targeting systems in cancer. Some of the thousands and thousands of published nanosystems so far will most likely revolutionize our understanding of biological mechanisms and push forward the clinical practice through their integration in future diagnostics platforms. Nevertheless, despite the significant efforts towards the use of nanomaterials in biologically relevant research, more in vivo studies are needed to assess the applicability of these materials as delivery agents. In fact, only a few went through feasible clinical trials. Nanomaterials have to serve as the norm rather than an exception in the future conventional cancer treatments. Future in vivo work will need to carefully consider the correct choice of chemical modifications to incorporate into the multifunctional nanocarriers to avoid activation off-target, side effects and toxicity. Moreover the majority of studies on nanomaterials do not consider the final application to guide the design of nanomaterial. Instead, the focus is predominantly on engineering materials with specific physical or chemical properties. It is imperative to learn how advances in nanosystem’s capabilities are being used to identify new diagnostic and therapy tools driving the development of personalized medicine in oncology; discover how integrating cancer research and nanotechnology modeling can help patient diagnosis and treatment; recognize how to translate nanotheranostics data into an actionable clinical strategy; discuss with industry leaders how nanotheranostics is evolving and what the impact is on current research efforts; and last but not least, learn what approaches are proving fruitful in turning promising clinical data into treatment realities.
    Keywords: QD1-999 ; Q1-390 ; Nanoparticles ; Gene Therapy ; Immunotherapy ; bioimaging ; theranostics ; nanomaterials ; Drug delivery ; Nanomedicine ; Cancer ; Phototherapy ; thema EDItEUR::P Mathematics and Science::PN Chemistry
    Language: English
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  • 18
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    The molecular pathology of cognitive decline: Focus on metals (2021)
    Frontiers Media SA
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    Publication Date: 2024-04-05
    Description: In the past two decades there have been significant advances made in understanding the cellular and molecular alterations that occur with brain ageing, as well as with our understanding of age-related brain diseases. Ageing is associated with a mid-life decline in many cognitive domains (eg. Attention, working memory, episodic memory) that progresses with advancing age and which may be potentiated by a variety of diseases. However, despite the breadth of attempts to explain it, the underlying basis for age-related memory impairment remains poorly understood. Both normal and “pathological” ageing (as in age-related neurodegenerative disorders such as Alzheimer’s disease) may be associated with overlapping and increased levels of “abnormal” pathology, and this may be a potential mediator of cognitive decline in both populations. An emerging hypothesis in this field is that metal ion dys/homeostasis may represent a primary unifying mechanism to explain age- and disease-associated memory impairment – either indirectly via an effect on disease pathogenesis, or by a direct effect on signaling pathways relevant to learning and memory. There remains a concerted worldwide effort to deliver an effective therapeutic treatment for cognitive decline associated with ageing and/or disease, which is currently an unmet need. There have been numerous clinical trials conducted specifically testing drugs to prevent cognitive decline and progression to dementia, but to date the results have been less than impressive, highlighting the urgent need for a greater understanding of the neurobiological basis of memory impairment in ageing and disease which can then drive the search for effective therapeutics.
    Keywords: RC321-571 ; Q1-390 ; Down Syndrome ; Amyotrophic Lateral Sclerosis ; Parkinson's disease ; aluminium ; Iron ; TBI ; Cognition ; Copper ; Alzheimer's disease ; Zinc ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 19
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    Neuromorphic Engineering Systems and Applications (2021)
    Frontiers Media SA
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    Publication Date: 2024-04-05
    Description: Neuromorphic engineering has just reached its 25th year as a discipline. In the first two decades neuromorphic engineers focused on building models of sensors, such as silicon cochleas and retinas, and building blocks such as silicon neurons and synapses. These designs have honed our skills in implementing sensors and neural networks in VLSI using analog and mixed mode circuits. Over the last decade the address event representation has been used to interface devices and computers from different designers and even different groups. This facility has been essential for our ability to combine sensors, neural networks, and actuators into neuromorphic systems. More recently, several big projects have emerged to build very large scale neuromorphic systems. The Telluride Neuromorphic Engineering Workshop (since 1994) and the CapoCaccia Cognitive Neuromorphic Engineering Workshop (since 2009) have been instrumental not only in creating a strongly connected research community, but also in introducing different groups to each other’s hardware. Many neuromorphic systems are first created at one of these workshops. With this special research topic, we showcase the state-of-the-art in neuromorphic systems.
    Keywords: RC321-571 ; Q1-390 ; neuromorphic engineering ; Learning ; Floating gate ; Neural Network ; spike-based ; event-based ; simulation ; dynamic vision sensor ; network ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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  • 20
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    Abstract Mathematical Cognition (2021)
    Frontiers Media SA
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    Publication Date: 2024-04-05
    Description: Despite the importance of mathematics in our educational systems little is known about how abstract mathematical thinking emerges. Under the uniting thread of mathematical development, we hope to connect researchers from various backgrounds to provide an integrated view of abstract mathematical cognition. Much progress has been made in the last 20 years on how numeracy is acquired. Experimental psychology has brought to light the fact that numerical cognition stems from spatial cognition. The findings from neuroimaging and single cell recording experiments converge to show that numerical representations take place in the intraparietal sulcus. Further research has demonstrated that supplementary neural networks might be recruited to carry out subtasks; for example, the retrieval of arithmetic facts is done by the angular gyrus. Now that the neural networks in charge of basic mathematical cognition are identified, we can move onto the stage where we seek to understand how these basics skills are used to support the acquisition and use of abstract mathematical concepts.
    Keywords: RC321-571 ; Q1-390 ; Neuroimaging ; development ; numerosity ; gifted ; Mathematical Cognition ; algebra ; abstract ; Expertise ; Arithmetic ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
    Language: English
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