27 research outputs found
Kratkoročna znanstevna misija „Kalibracija i validacija modelka Biome- BGCMuSo za simulacije hrastovih šuma u Europi“
No full textDoktorandica Doroteja Bitunjac s Hrvatskog šumarskog instituta, provela je mjesec dana u Zvolenu, Slovačkoj, na kratkoročnoj znanstvenoj misiji (engl. Short-Term Scientific
Mission, STSM) organiziranoj od strane COST akcije „PROCLIAS - Process-Based Models for Climate Impact Attribution across Sector“ (CA19139). Doktorandica Bitunjac surađivala je sa stručnjakinjom za modeliranje šumskih ekosustava Dr. sc. Katarínom Merganičovom sa Slovak Academy of Sciences, Institute of Landscape Ecology i Czech University of Life Sciences Prague, Faculty of Forestry and Wood Sciences. Doktorandica Bitunjac i njezina mentorica Merganičová radile su na procesima kalibracije i validacije biogeokemijskog modela Biome-BGCMuSo za hrastove šume u Europi. Svrha STSM-a bila je testirati mogućnost modela Biome-BGCMuSo za simulaciju promjene zaliha organskog ugljika u mineralnom sloju tla u hrastovim šumama. Doktorandica Bitunjac stekla je napredna znanja iz procesnog modeliranja šumskih ekosustava i obrade velikih baza podataka. Rezultate STSM-a doktorandica Bitunjac predstavila je na pozivnom predavanju na Department of Forest Harvesting, Logistics and Ameliorations, Faculty of Forestry, Technical University Zvolen u Zvolenu
Stocks and stock changes of carbon in dead organic matter and soil in Croatia's forests
No full textRepublika Hrvatska potpisnica je Okvirne konvencije Ujedinjenih naroda o promjeni klime, Kyotskog protokola i Pariškog sporazuma prema kojima se obvezala jednom godišnje izraditi i dostaviti Nacionalno izvješće o inventaru stakleničkih plinova (engl. National Greenhouse Gas Inventory Report, NIR). Promjene zaliha ugljika u šumskim ekosustavima obračunavaju se u sektoru „Korištenje zemljišta, prenamjena zemljišta i šumarstvo” (engl. Land Use, Land-Use Change and Forestry, LULUCF) za pet pohraništa ugljika: nadzemna i podzemna živa biomasa, mrtvo drvo, šumska prostirka i organska tvar tla. Procjena promjena zaliha ugljika u mrtvom drvu, šumskoj prostirci i tlu često je izostavljena zbog nedostatka dostupnih podataka i faktora promjene zaliha ugljika. Glavni cilj ovog istraživanja je omogućiti unaprjeđenje procjene zaliha u mrtvom drvu i šumskoj prostirci te procjene zaliha i promjena zaliha ugljika u mineralnom dijelu tla u šumama Republike Hrvatske. Ovo istraživanje uključuje postavljanje terenskog istraživanja za mrtvo drvo za deset vrsta drveća u tri biogeografske regije u Republici Hrvatskoj; sastavljanje nove nacionalne baze podataka o šumskoj prostirci; validaciju procesnog modela Biome-BGCMuSo (BBGCMuSo) verzija 4.0 za procjenu nacionalnih zaliha ugljika u mineralnom dijelu tla do dubine od 30 cm (SOC30), i treću izmjeru SOC30-a u pokusu kronosekvence hrasta lužnjaka, koja je zajedno sa dvije prethodne izmjere, poslužila za validaciju novije verzije modela BBGCMuSo v.6.2 za procjenu promjena zaliha SOC30-a. Zaliha ugljika u mrtvom drvu u Republici Hrvatskoj, procijenjena u ovom radu, manja je za 11–27 % u odnosu na vrijednost koja se trenutno koristi u NIR-u Republike Hrvatske. Korištenje nove nacionalne baza podataka o zalihama ugljika u šumskoj prostirci može povećati odlive CO2 iz ovog pohraništa ugljika za 5 % u odnosu na vrijednost koja se trenutno koristi u NIR-u Republike Hrvatske. Model BBGCMuSo može uspješno reproducirati prosječne zalihe SOC30-a za stratume šumskog zemljišta koji se koriste u NIR-u Republike Hrvatske, šume listača i šume četinjača, ali pri detaljnijoj stratifikaciji rezultata na razinu stratuma šumskog zemljišta × biogeografska regija smanjena je točnost modela. Kalibracija BBGCMuSo modela v.6.2 naglašava važnost korištenja skupova podataka različite vremenske rezolucije u kalibraciji procesnih modela. U šumi hrasta lužnjaka, predstavljenoj pokusom kronosekvence, trendovi izmjerenog i modeliranog SOC30-a, iako statistički neznačajni, suprotnog su smjera (negativan za izmjereni i pozitivan za modelirani SOC30). Dobiveni rezultati potencijalno mogu pridonijeti unaprjeđenju izračuna u NIR-u Republike Hrvatske.The Republic of Croatia, as a signatory country of the United Nations Framework Convention on Climate Change (UNFCCC), Kyoto Protocol and Paris Agreement, has committed to annually report on greenhouse gas (GHG) emissions and removals in its National GHG Inventory Report (NIR). In the forest ecosystems, carbon stock changes need to be accounted for under the Land Use, Land-Use Change and Forestry (LULUCF) sector for five ecosystem carbon pools: above- and below-ground live biomass, dead wood (DW), forest floor and soil organic matter (SOM). The estimation of carbon stock changes in DW, forest floor and SOM pools is often omitted due to a lack of available activity data and carbon stock change factors. The main aim of this research is to facilitate the improvement of estimates of carbon stocks in DW and forest floor, as well as carbon stocks and carbon stock changes in SOM in forest ecosystems in Croatia. This research includes the implementation of a field experiment on DW for ten forest tree species distributed across three biogeographical regions (BGR) in Croatia; a compilation of a new national dataset on forest floor; a validation of the process-based model Biome-BGCMuSo (BBGCMuSo) version 4.0 for estimating national soil organic carbon stocks down to 30 cm depth (SOC30), and a third measurement of SOC30 in pedunculate oak chronosequence that will be used, with previous two measurements, for validation of the newest model version BBGCMuSo v.6.2 for estimating SOC30 changes. The estimate of carbon stock in the DW pool from this study is lower by 11–27% compared to the value currently used in the Croatian NIR. A newly compiled national database on forest floor carbon stocks can facilitate the increase of net CO2 removals for 5% under this carbon pool in the Croatian NIR. BBGCMuSo v.4.0 model was shown to be suitable for the estimation of the overall mean of SOC30 for deciduous and coniferous Forest land strata reported in the Croatian NIR, but disaggregation of the results with respect to biogeographical region decreased model accuracy. Calibration of the BBGCMuSo model v.6.2 highlights the importance of using different temporal resolution datasets in calibration of process-based models. In the pedunculate oak forest, represented by the chronosequence experiment, although there is no disagreement in trends between the measured and modelled SOC30, the trends were divergent (negative for measured and positive for modelled SOC30). The obtained results have the potential to contribute to the improvement of calculations in Croatian NIR
Stocks and stock changes of carbon in dead organic matter and soil in Croatia's forests
No full textRepublika Hrvatska potpisnica je Okvirne konvencije Ujedinjenih naroda o promjeni klime, Kyotskog protokola i Pariškog sporazuma prema kojima se obvezala jednom godišnje izraditi i dostaviti Nacionalno izvješće o inventaru stakleničkih plinova (engl. National Greenhouse Gas Inventory Report, NIR). Promjene zaliha ugljika u šumskim ekosustavima obračunavaju se u sektoru „Korištenje zemljišta, prenamjena zemljišta i šumarstvo” (engl. Land Use, Land-Use Change and Forestry, LULUCF) za pet pohraništa ugljika: nadzemna i podzemna živa biomasa, mrtvo drvo, šumska prostirka i organska tvar tla. Procjena promjena zaliha ugljika u mrtvom drvu, šumskoj prostirci i tlu često je izostavljena zbog nedostatka dostupnih podataka i faktora promjene zaliha ugljika. Glavni cilj ovog istraživanja je omogućiti unaprjeđenje procjene zaliha u mrtvom drvu i šumskoj prostirci te procjene zaliha i promjena zaliha ugljika u mineralnom dijelu tla u šumama Republike Hrvatske. Ovo istraživanje uključuje postavljanje terenskog istraživanja za mrtvo drvo za deset vrsta drveća u tri biogeografske regije u Republici Hrvatskoj; sastavljanje nove nacionalne baze podataka o šumskoj prostirci; validaciju procesnog modela Biome-BGCMuSo (BBGCMuSo) verzija 4.0 za procjenu nacionalnih zaliha ugljika u mineralnom dijelu tla do dubine od 30 cm (SOC30), i treću izmjeru SOC30-a u pokusu kronosekvence hrasta lužnjaka, koja je zajedno sa dvije prethodne izmjere, poslužila za validaciju novije verzije modela BBGCMuSo v.6.2 za procjenu promjena zaliha SOC30-a. Zaliha ugljika u mrtvom drvu u Republici Hrvatskoj, procijenjena u ovom radu, manja je za 11–27 % u odnosu na vrijednost koja se trenutno koristi u NIR-u Republike Hrvatske. Korištenje nove nacionalne baza podataka o zalihama ugljika u šumskoj prostirci može povećati odlive CO2 iz ovog pohraništa ugljika za 5 % u odnosu na vrijednost koja se trenutno koristi u NIR-u Republike Hrvatske. Model BBGCMuSo može uspješno reproducirati prosječne zalihe SOC30-a za stratume šumskog zemljišta koji se koriste u NIR-u Republike Hrvatske, šume listača i šume četinjača, ali pri detaljnijoj stratifikaciji rezultata na razinu stratuma šumskog zemljišta × biogeografska regija smanjena je točnost modela. Kalibracija BBGCMuSo modela v.6.2 naglašava važnost korištenja skupova podataka različite vremenske rezolucije u kalibraciji procesnih modela. U šumi hrasta lužnjaka, predstavljenoj pokusom kronosekvence, trendovi izmjerenog i modeliranog SOC30-a, iako statistički neznačajni, suprotnog su smjera (negativan za izmjereni i pozitivan za modelirani SOC30). Dobiveni rezultati potencijalno mogu pridonijeti unaprjeđenju izračuna u NIR-u Republike Hrvatske.The Republic of Croatia, as a signatory country of the United Nations Framework Convention on Climate Change (UNFCCC), Kyoto Protocol and Paris Agreement, has committed to annually report on greenhouse gas (GHG) emissions and removals in its National GHG Inventory Report (NIR). In the forest ecosystems, carbon stock changes need to be accounted for under the Land Use, Land-Use Change and Forestry (LULUCF) sector for five ecosystem carbon pools: above- and below-ground live biomass, dead wood (DW), forest floor and soil organic matter (SOM). The estimation of carbon stock changes in DW, forest floor and SOM pools is often omitted due to a lack of available activity data and carbon stock change factors. The main aim of this research is to facilitate the improvement of estimates of carbon stocks in DW and forest floor, as well as carbon stocks and carbon stock changes in SOM in forest ecosystems in Croatia. This research includes the implementation of a field experiment on DW for ten forest tree species distributed across three biogeographical regions (BGR) in Croatia; a compilation of a new national dataset on forest floor; a validation of the process-based model Biome-BGCMuSo (BBGCMuSo) version 4.0 for estimating national soil organic carbon stocks down to 30 cm depth (SOC30), and a third measurement of SOC30 in pedunculate oak chronosequence that will be used, with previous two measurements, for validation of the newest model version BBGCMuSo v.6.2 for estimating SOC30 changes. The estimate of carbon stock in the DW pool from this study is lower by 11–27% compared to the value currently used in the Croatian NIR. A newly compiled national database on forest floor carbon stocks can facilitate the increase of net CO2 removals for 5% under this carbon pool in the Croatian NIR. BBGCMuSo v.4.0 model was shown to be suitable for the estimation of the overall mean of SOC30 for deciduous and coniferous Forest land strata reported in the Croatian NIR, but disaggregation of the results with respect to biogeographical region decreased model accuracy. Calibration of the BBGCMuSo model v.6.2 highlights the importance of using different temporal resolution datasets in calibration of process-based models. In the pedunculate oak forest, represented by the chronosequence experiment, although there is no disagreement in trends between the measured and modelled SOC30, the trends were divergent (negative for measured and positive for modelled SOC30). The obtained results have the potential to contribute to the improvement of calculations in Croatian NIR
Stocks and stock changes of carbon in dead organic matter and soil in Croatia's forests
No full textRepublika Hrvatska potpisnica je Okvirne konvencije Ujedinjenih naroda o promjeni klime, Kyotskog protokola i Pariškog sporazuma prema kojima se obvezala jednom godišnje izraditi i dostaviti Nacionalno izvješće o inventaru stakleničkih plinova (engl. National Greenhouse Gas Inventory Report, NIR). Promjene zaliha ugljika u šumskim ekosustavima obračunavaju se u sektoru „Korištenje zemljišta, prenamjena zemljišta i šumarstvo” (engl. Land Use, Land-Use Change and Forestry, LULUCF) za pet pohraništa ugljika: nadzemna i podzemna živa biomasa, mrtvo drvo, šumska prostirka i organska tvar tla. Procjena promjena zaliha ugljika u mrtvom drvu, šumskoj prostirci i tlu često je izostavljena zbog nedostatka dostupnih podataka i faktora promjene zaliha ugljika. Glavni cilj ovog istraživanja je omogućiti unaprjeđenje procjene zaliha u mrtvom drvu i šumskoj prostirci te procjene zaliha i promjena zaliha ugljika u mineralnom dijelu tla u šumama Republike Hrvatske. Ovo istraživanje uključuje postavljanje terenskog istraživanja za mrtvo drvo za deset vrsta drveća u tri biogeografske regije u Republici Hrvatskoj; sastavljanje nove nacionalne baze podataka o šumskoj prostirci; validaciju procesnog modela Biome-BGCMuSo (BBGCMuSo) verzija 4.0 za procjenu nacionalnih zaliha ugljika u mineralnom dijelu tla do dubine od 30 cm (SOC30), i treću izmjeru SOC30-a u pokusu kronosekvence hrasta lužnjaka, koja je zajedno sa dvije prethodne izmjere, poslužila za validaciju novije verzije modela BBGCMuSo v.6.2 za procjenu promjena zaliha SOC30-a. Zaliha ugljika u mrtvom drvu u Republici Hrvatskoj, procijenjena u ovom radu, manja je za 11–27 % u odnosu na vrijednost koja se trenutno koristi u NIR-u Republike Hrvatske. Korištenje nove nacionalne baza podataka o zalihama ugljika u šumskoj prostirci može povećati odlive CO2 iz ovog pohraništa ugljika za 5 % u odnosu na vrijednost koja se trenutno koristi u NIR-u Republike Hrvatske. Model BBGCMuSo može uspješno reproducirati prosječne zalihe SOC30-a za stratume šumskog zemljišta koji se koriste u NIR-u Republike Hrvatske, šume listača i šume četinjača, ali pri detaljnijoj stratifikaciji rezultata na razinu stratuma šumskog zemljišta × biogeografska regija smanjena je točnost modela. Kalibracija BBGCMuSo modela v.6.2 naglašava važnost korištenja skupova podataka različite vremenske rezolucije u kalibraciji procesnih modela. U šumi hrasta lužnjaka, predstavljenoj pokusom kronosekvence, trendovi izmjerenog i modeliranog SOC30-a, iako statistički neznačajni, suprotnog su smjera (negativan za izmjereni i pozitivan za modelirani SOC30). Dobiveni rezultati potencijalno mogu pridonijeti unaprjeđenju izračuna u NIR-u Republike Hrvatske.The Republic of Croatia, as a signatory country of the United Nations Framework Convention on Climate Change (UNFCCC), Kyoto Protocol and Paris Agreement, has committed to annually report on greenhouse gas (GHG) emissions and removals in its National GHG Inventory Report (NIR). In the forest ecosystems, carbon stock changes need to be accounted for under the Land Use, Land-Use Change and Forestry (LULUCF) sector for five ecosystem carbon pools: above- and below-ground live biomass, dead wood (DW), forest floor and soil organic matter (SOM). The estimation of carbon stock changes in DW, forest floor and SOM pools is often omitted due to a lack of available activity data and carbon stock change factors. The main aim of this research is to facilitate the improvement of estimates of carbon stocks in DW and forest floor, as well as carbon stocks and carbon stock changes in SOM in forest ecosystems in Croatia. This research includes the implementation of a field experiment on DW for ten forest tree species distributed across three biogeographical regions (BGR) in Croatia; a compilation of a new national dataset on forest floor; a validation of the process-based model Biome-BGCMuSo (BBGCMuSo) version 4.0 for estimating national soil organic carbon stocks down to 30 cm depth (SOC30), and a third measurement of SOC30 in pedunculate oak chronosequence that will be used, with previous two measurements, for validation of the newest model version BBGCMuSo v.6.2 for estimating SOC30 changes. The estimate of carbon stock in the DW pool from this study is lower by 11–27% compared to the value currently used in the Croatian NIR. A newly compiled national database on forest floor carbon stocks can facilitate the increase of net CO2 removals for 5% under this carbon pool in the Croatian NIR. BBGCMuSo v.4.0 model was shown to be suitable for the estimation of the overall mean of SOC30 for deciduous and coniferous Forest land strata reported in the Croatian NIR, but disaggregation of the results with respect to biogeographical region decreased model accuracy. Calibration of the BBGCMuSo model v.6.2 highlights the importance of using different temporal resolution datasets in calibration of process-based models. In the pedunculate oak forest, represented by the chronosequence experiment, although there is no disagreement in trends between the measured and modelled SOC30, the trends were divergent (negative for measured and positive for modelled SOC30). The obtained results have the potential to contribute to the improvement of calculations in Croatian NIR
Some documents on the researcher of a history of Odessa D.G.Atlas
No full textАвтор розглядає факти біографії відомого історика Одеси Доротеї Генріхівни Атлас та впроваджує до наукового обігу невідомі раніше документи, що стосуються її навчання на історичному та юридичному факультетах Одеських вищих жіночих курсів (1903 – 1912 рр.).The author considers the facts of the biography of the well known historian of Odesa Doroteja Atlas and puts into a scientific use the documents not known earlier concerning her training at historical and legal faculties of the Odesa supreme female courses (1903 – 1912)
Health Literature Hybrid AI for Health Improvement: A Design Analysis for Diabetes & Hypertension
No full textIncreasingly, front runner patients and practitioners want to use state-of-the-art science for rapid lifestyle based cure of diseases of affluence. However, the number of new health studies per year (>500.000) is overwhelming. How to quickly assess state-of-the-art and use new opportunities for rapid patient DIY (Do-It-Yourself) health improvement? In order to develop a health literature hybrid AI to aid DIY rapid health improvement, we analyze user side functional requirements. A cross case design analysis is conducted for hypertension and T2D (Type 2 Diabetes), two major cardiometabolic conditions in our society. Our analysis shows that current DIY health support is ‘watered down’ advise, prone to medicalizing rather than empowering patients. We propose hybrid AI user requirements and discuss how a 2030 hybrid AI health support system can stimulate new ways of working in health and cure.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Interactive Intelligenc
More than one way to solve the healthcare innovation crisis with digital platforms. Various forms of platform openness impacting primary healthcare
No full textWhereas open digital platforms drive innovation in industries, platforms in primary healthcare are mostly closed. Policy-makers have been looking for ways to open up primary healthcare platforms to stimulate collaboration and innovation and need to do so even more due to the ongoing COVID-19 crisis. Yet, there is not one way of opening up platforms in primary healthcare, just as it is unclear how different ways of openness can lead to more innovation. This paper analyzes the opportunities and challenges in realizing platform openness while examining alternative forms of openness. To answer this, we (1) conceptualize different forms of platform openness (sponsor-provider-platform-user openness), (2) examine how these forms of openness can resolve barriers to innovation, and (3) examine what challenges need to be overcome to realize that form of openness in practice, such as complexity in roles, regulations, and ICT infrastructure. The findings are relevant to structure further research on how platform openness leads to more innovations in healthcare.Information and Communication TechnologyEducation and Student AffairsEngineering, Systems and Service
Ženski identitet u drami Grožđica na suncu i romanu Amerikana
No full textLorraine Hansberry’s play A Raisin in the Sun depicts the life of an African-American family in the 1950s.An important aspect of this paper will be the analysis of three generations of African-American women – Lena Younger, Ruth and Beneatha and how they
deal with the changing conditions of the 1950s in the United States. The aftermath of these changes is depicted in the novel Americanah by the Nigerian author Chimamanda Ngozi Adichie. Adichie in her fictional novel shows how a young Nigerian woman Ifemelu goes through different experiences that help to shape her character. This paper also deals with two important women – Ifemelu’s mother and Aunty Uju– that impacted the development of her identity. The aim of this paper is to analyze the female identity through perspectives of both American and African-American female experience under different historical conditions in order to highlight the changes in women’s lifestyle and choices in the US during the 50s and the early 2000s
Does BMI help business to succeed?
No full textThis study investigates if BMI helps business innovation to succeed. We analyzed 27 SME cases having differing combinations of Business Model Innovation (BMI), New Product Development (NPD) and effectuation methods. We also analyzed the drivers and market strategy of the SMEs. We found out that typical SME innovation success cases combine at least two methods of implementation, such as BMI and NPD, and focus on low-end market. Effectuation in combination with the aforementioned seems to play significant role as well.Information and Communication Technolog
Toward sovereign data exchange through a meta-platform for data marketplaces: A preliminary evaluation of the perceived efficacy of control mechanisms
No full textThe landscape of platform ecosystems is becoming increasingly complex, with new types of platforms emerging that glue together otherwise fragmented ecosystems. One recent case is metaplatforms that can contribute to the European Data Economy by interconnecting data marketplaces; however, meta-platforms may intensify data sovereignty concerns: the inability of data providers to own and control the exchanged data. While smart contracts and certification can generally enhance data sovereignty, it is unknown whether data providers perceive these control mechanisms as valuable in the complex meta-platform setting. This study aims to evaluate the perceived efficacy of the control mechanisms to ensure data sovereignty in meta-platforms. The findings from a survey study (n=93) indicate that respondents perceive high data sovereignty. One potential explanation is that smart contracts can potentially enable providers to maintain ownership and control over their exchanged data; meanwhile, certification may signal metaplatforms’ responsibility to deliver secure data exchange infrastructure and assist providers in adhering to relevant regulations. This study contributes to advancing design knowledge for meta-platforms, showcasing that meta-platforms can be designed in a way to resolve fragmentation without neglecting data sovereignty principles.Information and Communication Technolog
