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  1. Article ; Online: EEG Glossary App: A first bilingual app for EEG terms.

    Strigaro, Gionata / Meletti, Stefano / Mecarelli, Oriano / Tassi, Laura / Strigaro, Daniele / Bisulli, Francesca

    Epileptic disorders : international epilepsy journal with videotape

    2023  Volume 25, Issue 5, Page(s) 799–800

    Language English
    Publishing date 2023-07-04
    Publishing country United States
    Document type Letter
    ZDB-ID 2086797-9
    ISSN 1950-6945 ; 1294-9361
    ISSN (online) 1950-6945
    ISSN 1294-9361
    DOI 10.1002/epd2.20091
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5740: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 252: Show issues
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  2. Article ; Online: The effects of microclimatic winter conditions in urban areas on the risk of establishment for Aedes albopictus.

    Ravasi, Damiana / Mangili, Francesca / Huber, David / Cannata, Massimiliano / Strigaro, Daniele / Flacio, Eleonora

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 15967

    Abstract: The tiger mosquito, Aedes albopictus, has adjusted well to urban environments by adopting artificial water containers as oviposition sites. Its spread in temperate regions is favoured by the deposition of cold-tolerant diapausing eggs that survive winter ...

    Abstract The tiger mosquito, Aedes albopictus, has adjusted well to urban environments by adopting artificial water containers as oviposition sites. Its spread in temperate regions is favoured by the deposition of cold-tolerant diapausing eggs that survive winter temperatures to a certain degree. The probability of establishment in new geographical areas is estimated using predictive models usually based on meteorological data measured at coarse resolution. Here, we investigated if we could obtain more precise and realistic risk scenarios for the spread of Ae. albopictus when considering the winter microclimatic conditions of catch basins, one of the major sites of oviposition and egg overwintering in temperate urban areas. We monitored winter microclimatic conditions of catch basins in four Swiss cities and developed a regression model to predict the average microclimatic temperatures of catch basins, based on available meteorological parameters, accounting for the observed differences between cities. We then used the microclimatic model to correct the predictions of our previously developed risk model for the prediction of Ae. albopictus establishment. Comparison of the predictive model's results based on local climate data and microclimate data indicated that the risk of establishment for Ae. albopictus in temperate urban areas increases when microhabitat temperatures are considered.
    MeSH term(s) Aedes ; Animals ; Female ; Microclimate ; Oviposition ; Seasons ; Water
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2022-09-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-20436-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Open and Cost-Effective Digital Ecosystem for Lake Water Quality Monitoring.

    Strigaro, Daniele / Cannata, Massimiliano / Lepori, Fabio / Capelli, Camilla / Lami, Andrea / Manca, Dario / Seno, Silvio

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 17

    Abstract: In some sectors of the water resources management, the digital revolution process is slowed by some blocking factors such as costs, lack of digital expertise, resistance to change, etc. In addition, in the era of Big Data, many are the sources of ... ...

    Abstract In some sectors of the water resources management, the digital revolution process is slowed by some blocking factors such as costs, lack of digital expertise, resistance to change, etc. In addition, in the era of Big Data, many are the sources of information available in this field, but they are often not fully integrated. The adoption of different proprietary solutions to sense, collect and manage data is one of the main problems that hampers the availability of a fully integrated system. In this context, the aim of the project is to verify if a fully open, cost-effective and replicable digital ecosystem for lake monitoring can fill this gap and help the digitalization process using cloud based technology and an Automatic High-Frequency Monitoring System (AHFM) built using open hardware and software components. Once developed, the system is tested and validated in a real case scenario by integrating the historical databases and by checking the performance of the AHFM system. The solution applied the edge computing paradigm in order to move some computational work from server to the edge and fully exploiting the potential offered by low power consuming devices.
    MeSH term(s) Cost-Benefit Analysis ; Ecosystem ; Lakes ; Software ; Water Quality
    Language English
    Publishing date 2022-09-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22176684
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis.

    Strigaro, Daniele / Cannata, Massimiliano / Antonovic, Milan

    Sensors (Basel, Switzerland)

    2019  Volume 19, Issue 5

    Abstract: In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open ... ...

    Abstract In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem. This research quantitatively evaluates the data quality of a non-conventional, low-cost and fully open system. The proposed novel solution was tested for a duration of 8 months, and the collected observations were compared with a nearby authoritative weather station. The experimental weather station is based in Arduino and transmits data through the 2G General Packet Radio Service (GPRS) to the istSOS which is a software to set-up a web service to collect, share and manage observations from sensor networks using the Sensor Observation Service (SOS) standard of the Open Geospatial Consortium (OGC). The results demonstrated that this accessible solution produces data of appropriate quality for natural resource and risk management.
    Language English
    Publishing date 2019-03-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s19051185
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Automated high frequency monitoring of Lake Maggiore through in situ sensors: system design, field test and data quality control

    Tiberti, Rocco / Caroni, Rossana / Cannata, Massimiliano / Lami, Andrea / Manca, Dario / Strigaro, Daniele / Rogora, Michela

    Journal of limnology. 2021 June 21, v. 80, no. 2

    2021  

    Abstract: A high frequency monitoring (HFM) system for the deep subalpine lakes Maggiore, Lugano and Como is under development within the EU INTERREG project SIMILE. The HFM system is designed to i) describe often neglected but potentially relevant processes ... ...

    Abstract A high frequency monitoring (HFM) system for the deep subalpine lakes Maggiore, Lugano and Como is under development within the EU INTERREG project SIMILE. The HFM system is designed to i) describe often neglected but potentially relevant processes occurring on short time scale; ii) become a cost-effective source of environmental data; and iii) strengthen the coordinated management of water resources in the subalpine lake district. In this project framework, a first HFM station (LM1) consisting of a monitoring buoy was placed in Lake Maggiore. LM1 represents a pilot experience within the project, aimed at providing the practical know-how needed for the development of the whole HFM system. To increase replicability and transferability, LM1 was developed in-house, and conceived as a low-cost modular system. LM1 is presently equipped with solar panels, a weather station, and sensors for water temperature, pH, dissolved oxygen, conductivity, and chlorophyll-a. In this study, we describe the main features of LM1 (hardware and software) and the adopted Quality Assurance/Quality Control (QA/QC) procedures. To this end, we provide examples from a test period, i.e., the first 9-months of functioning of LM1. A description of the software selected as data management software for the HFM system (IstSOS) is also provided. Data gathered during the study period provided clear evidence that coupling HFM and discrete sampling for QA/QC controls is necessary to produce accurate data and to detect and correct errors, mainly because of sensor fouling and calibration drift. These results also provide essential information to develop further the HFM system and shared protocols adapted to the local environmental (i.e., large subalpine lakes) and technical (expertise availability) context. The next challenge would be making HFM not only a source of previously unaffordable information, but also a cost-effective tool for environmental monitoring.
    Keywords automation ; chlorophyll ; computer software ; cost effectiveness ; data quality ; information management ; lakes ; limnology ; oxygen ; pH ; quality control ; systems engineering ; water temperature ; weather ; Lake Maggiore
    Language English
    Dates of publication 2021-0621
    Publishing place PAGEPress Publications
    Document type Article
    ZDB-ID 2034229-9
    ISSN 1723-8633 ; 1129-5767
    ISSN (online) 1723-8633
    ISSN 1129-5767
    DOI 10.4081/jlimnol.2021.2011
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: A GRASS GIS module to obtain an estimation of glacier behavior under climate change: A pilot study on Italian glacier

    Strigaro, Daniele / Massimiliano Moretti / Matteo Mattavelli / Ivan Frigerio / Mattia De Amicis / Valter Maggi

    Computers and Geosciences. 2016 Sept., v. 94

    2016  

    Abstract: The aim of this work is to integrate the Minimal Glacier Model in a Geographic Information System Python module in order to obtain spatial simulations of glacier retreat and to assess the future scenarios with a spatial representation. The Minimal ... ...

    Abstract The aim of this work is to integrate the Minimal Glacier Model in a Geographic Information System Python module in order to obtain spatial simulations of glacier retreat and to assess the future scenarios with a spatial representation. The Minimal Glacier Models are a simple yet effective way of estimating glacier response to climate fluctuations. This module can be useful for the scientific and glaciological community in order to evaluate glacier behavior, driven by climate forcing. The module, called r.glacio.model, is developed in a GRASS GIS (GRASS Development Team, 2016) environment using Python programming language combined with different libraries as GDAL, OGR, CSV, math, etc. The module is applied and validated on the Rutor glacier, a glacier in the south-western region of the Italian Alps. This glacier is very large in size and features rather regular and lively dynamics. The simulation is calibrated by reconstructing the 3-dimensional dynamics flow line and analyzing the difference between the simulated flow line length variations and the observed glacier fronts coming from ortophotos and DEMs. These simulations are driven by the past mass balance record. Afterwards, the future assessment is estimated by using climatic drivers provided by a set of General Circulation Models participating in the Climate Model Inter-comparison Project 5 effort. The approach devised in r.glacio.model can be applied to most alpine glaciers to obtain a first-order spatial representation of glacier behavior under climate change.
    Keywords General Circulation Models ; climate change ; climatic factors ; computer software ; geographic information systems ; glaciers ; radiative forcing ; Alps region ; Italy
    Language English
    Dates of publication 2016-09
    Size p. 68-76.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0098-3004
    DOI 10.1016/j.cageo.2016.06.009
    Database NAL-Catalogue (AGRICOLA)

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