Academic literature on the topic 'GeoAI'

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Journal articles on the topic "GeoAI"

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Gonzales-Inca, Carlos, Mikel Calle, Danny Croghan, Ali Torabi Haghighi, Hannu Marttila, Jari Silander, and Petteri Alho. "Geospatial Artificial Intelligence (GeoAI) in the Integrated Hydrological and Fluvial Systems Modeling: Review of Current Applications and Trends." Water 14, no. 14 (July 13, 2022): 2211. http://dx.doi.org/10.3390/w14142211.

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This paper reviews the current GeoAI and machine learning applications in hydrological and hydraulic modeling, hydrological optimization problems, water quality modeling, and fluvial geomorphic and morphodynamic mapping. GeoAI effectively harnesses the vast amount of spatial and non-spatial data collected with the new automatic technologies. The fast development of GeoAI provides multiple methods and techniques, although it also makes comparisons between different methods challenging. Overall, selecting a particular GeoAI method depends on the application’s objective, data availability, and user expertise. GeoAI has shown advantages in non-linear modeling, computational efficiency, integration of multiple data sources, high accurate prediction capability, and the unraveling of new hydrological patterns and processes. A major drawback in most GeoAI models is the adequate model setting and low physical interpretability, explainability, and model generalization. The most recent research on hydrological GeoAI has focused on integrating the physical-based models’ principles with the GeoAI methods and on the progress towards autonomous prediction and forecasting systems.
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Hu, Yingjie, Song Gao, Dalton Lunga, Wenwen Li, Shawn Newsam, and Budhendra Bhaduri. "GeoAI at ACM SIGSPATIAL." SIGSPATIAL Special 11, no. 2 (December 17, 2019): 5–15. http://dx.doi.org/10.1145/3377000.3377002.

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Lunga, Dalton, Yingjie Hu, Shawn Newsam, Song Gao, Bruno Martins, Lexie Yang, and Xueqing Deng. "GeoAI at ACM SIGSPATIAL." SIGSPATIAL Special 13, no. 1-3 (November 2021): 21–32. http://dx.doi.org/10.1145/3578484.3578491.

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Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption. However, the efficient design and implementation of GeoAI systems face many open challenges. This is mainly due to the lack of non-standardized approaches to artificial intelligence tool development, inadequate platforms, and a lack of multidisciplinary engagements, which all motivate domain experts to seek a shared stage with scientists and engineers to solve problems of significant impact on society. Since its inception in 2017, the GeoAI series of workshops has been co-located with the Association for Computing Machinery International Conference on Advances in Geographic Information Systems. The workshop series has fostered a nexus for geoscientists, computer scientists, engineers, entrepreneurs, and decision-makers, from academia, industry, and government to engage in artificial intelligence, spatio-temporal data computing, and geospatial data science research, motivated by various challenges. In this article, we revisit and discuss the state of GeoAI open research directions, the recent developments, and an emerging agenda calling for a continued cross-disciplinary community engagement.
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Hu, Yingjie, Song Gao, Shawn Newsam, and Dalton Lunga. "GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI." SIGSPATIAL Special 10, no. 3 (January 15, 2019): 16. http://dx.doi.org/10.1145/3307599.3307609.

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Li, Wenwen, and Chia-Yu Hsu. "GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography." ISPRS International Journal of Geo-Information 11, no. 7 (July 11, 2022): 385. http://dx.doi.org/10.3390/ijgi11070385.

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GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography. Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of GeoAI, its scope of research, or a broad discussion of how it enables new ways of problem solving across social and environmental sciences. This paper provides a comprehensive overview of GeoAI research used in large-scale image analysis, and its methodological foundation, most recent progress in geospatial applications, and comparative advantages over traditional methods. We organize this review of GeoAI research according to different kinds of image or structured data, including satellite and drone images, street views, and geo-scientific data, as well as their applications in a variety of image analysis and machine vision tasks. While different applications tend to use diverse types of data and models, we summarized six major strengths of GeoAI research, including (1) enablement of large-scale analytics; (2) automation; (3) high accuracy; (4) sensitivity in detecting subtle changes; (5) tolerance of noise in data; and (6) rapid technological advancement. As GeoAI remains a rapidly evolving field, we also describe current knowledge gaps and discuss future research directions.
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Li, H., and A. Zipf. "A CONCEPTUAL MODEL FOR CONVERTING OPENSTREETMAP CONTRIBUTION TO GEOSPATIAL MACHINE LEARNING TRAINING DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (June 1, 2022): 253–59. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-253-2022.

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Abstract. In the recent decade, Volunteered Geographical Information (VGI), in particular the OpenStreetMap (OSM), has helped to fill substantial data gaps in base maps, especially in Global South, thus has become a promising source of massive, free training data together with rich and detailed semantic information for geospatial artificial intelligence (GeoAI) applications. Although intensive works have explored the potential of generating training data from OSM, a systematic approach of harvesting OSM contribution as quality-aware training data for different GeoAI tasks is still missing. To fill this research gap, we proposed a conceptual model consisting of three major components: historical OSM and external datasets, quality indicators, and GeoAI models. As a proof of concept, we validated our conceptual model with an example task of detecting OSM missing buildings in Mozambique, where the impact of different error sources (e.g., completeness, alignment, rotation) in training data were compared and investigated in a quantitative manner. The lessons learned in this paper shed important lights on cooperating OSM data quality aspects with the development of more explainable GeoAI models.
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Gao, Song, Shawn Newsam, Liang Zhao, Dalton Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, and Feng Chen. "GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery." SIGSPATIAL Special 11, no. 3 (February 13, 2020): 23–24. http://dx.doi.org/10.1145/3383653.3383662.

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Hsu, Chia-Yu, Wenwen Li, and Sizhe Wang. "Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection." Remote Sensing 13, no. 11 (May 28, 2021): 2116. http://dx.doi.org/10.3390/rs13112116.

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This paper introduces a new GeoAI solution to support automated mapping of global craters on the Mars surface. Traditional crater detection algorithms suffer from the limitation of working only in a semiautomated or multi-stage manner, and most were developed to handle a specific dataset in a small subarea of Mars’ surface, hindering their transferability for global crater detection. As an alternative, we propose a GeoAI solution based on deep learning to tackle this problem effectively. Three innovative features are integrated into our object detection pipeline: (1) a feature pyramid network is leveraged to generate feature maps with rich semantics across multiple object scales; (2) prior geospatial knowledge based on the Hough transform is integrated to enable more accurate localization of potential craters; and (3) a scale-aware classifier is adopted to increase the prediction accuracy of both large and small crater instances. The results show that the proposed strategies bring a significant increase in crater detection performance than the popular Faster R-CNN model. The integration of geospatial domain knowledge into the data-driven analytics moves GeoAI research up to the next level to enable knowledge-driven GeoAI. This research can be applied to a wide variety of object detection and image analysis tasks.
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Bordogna, Gloria, and Cristiano Fugazza. "Artificial Intelligence for Multisource Geospatial Information." ISPRS International Journal of Geo-Information 12, no. 1 (December 30, 2022): 10. http://dx.doi.org/10.3390/ijgi12010010.

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Mao, Huina, Yingjie Hu, Bandana Kar, Song Gao, and Grant McKenzie. "GeoAI 2017 workshop report: the 1st ACM SIGSPATIAL International Workshop on GeoAI: @AI and Deep Learning for Geographic Knowledge Discovery." SIGSPATIAL Special 9, no. 3 (January 9, 2018): 25. http://dx.doi.org/10.1145/3178392.3178408.

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Dissertations / Theses on the topic "GeoAI"

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FELICETTI, ANDREA. "Artificial Intelligence approaches for spatial data processing." Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/289699.

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I ricercatori hanno esplorato i benefici e le applicazioni degli algoritmi di intelligenza artificiale (IA) in diversi scenari. Per l'elaborazione dei dati spaziali, l'IA offre enormi opportunità. Le domande fondamentali, la ricerca si inclina a capire come l'IA può essere applicata o deve essere creata specificamente per i dati spaziali. Questo cambiamento sta avendo un impatto significativo sui dati spaziali. Il Machine Learning (ML) è stato un componente importante per l'analisi dei dati spaziali e per la loro classificazione, clustering e previsione. Inoltre, il deep learning (DL) viene integrato per estrarre automaticamente informazioni utili per la classificazione, il rilevamento di oggetti, la segmentazione semantica, ecc. L'integrazione di AI, ML e DL in geomatica ha introdotto il concetto di Geospatial Artificial Intelligence (GeoAI), che è un nuovo paradigma per la scoperta della conoscenza geospaziale e oltre. Partendo da tale premessa, questa tesi affronta il tema dello sviluppo di tecniche basate sull'IA per l'analisi e l'interpretazione di dati spaziali complessi. L'analisi ha coperto diverse lacune, per esempio la definizione delle relazioni tra gli approcci basati sull'IA e i dati spaziali. Considerando la natura multidisciplinare dei dati spaziali, gli sforzi maggiori sono stati fatti per quanto riguarda i dati dei social media, le immagini termografiche a infrarossi (IRT), le ortofoto e le nuvole di punti. Inizialmente, è stata condotta una revisione della letteratura per capire le principali tecnologie di acquisizione dei dati e se e come i metodi e le tecniche di IA potrebbero aiutare in questo campo. Un'attenzione specifica è data allo stato dell'arte dell'IA, che è stata importante per affrontare quattro diversi problemi: la gestione delle destinazioni turistiche utilizzando la sentiment analysis e le informazioni di geo-localizzazione; il rilevamento automatico delle anomalie negli impianti fotovoltaici; la segmentazione dei mosaici basata sul deep learning; il rilevamento di punti del viso per la modellazione 3D della testa in ambito medico. Le applicazioni IA proposte aprono nuove e importanti opportunità per la comunità geomatica. I nuovi dataset raccolti, così come i dati complessi presi in esame, rendono la ricerca sfidante. Infatti, è fondamentale valutare le prestazioni dei metodi allo stato dell'arte per dimostrare la loro forza e debolezza e aiutare a identificare la ricerca futura per la progettazione di algoritmi IA più robusti. Per una valutazione completa delle prestazioni, è di grande importanza sviluppare una libreria di benchmark per valutare lo stato dell'arte, perché i metodi di progettazione che sono sintonizzati su un problema specifico non funzionano correttamente su altri problemi. Un'intensa attenzione è stata dedicata all'esplorazione di modelli e algoritmi specifici. I metodi di IA adottati per lo sviluppo delle applicazioni proposte, hanno dimostrato di essere in grado di estrarre caratteristiche statistiche complesse e di apprendere in modo efficiente le loro rappresentazioni, permettendo di generalizzare bene su un'ampia varietà di compiti di IA, tra cui la classificazione delle immagini, il riconoscimento del testo e così via. Le limitazioni puntano verso aree inesplorate per indagini future, servendo come utili linee guida per le future direzioni di ricerca.
Researchers have explored the benefits and applications of artificial intelligence (AI) algorithms in different scenario. For the processing of spatial data, AI offers overwhelming opportunities. Fundamental questions include how AI can be specifically applied to or must be specifically created for spatial data. This change is also having a significant impact on spatial data. Machine learning (ML) has been an important component for spatial analysis for classification, clustering, and prediction. In addition, deep learning (DL) is being integrated to automatically extract useful information for classification, object detection, semantic and instance segmentation, etc. The integration of AI, ML, and DL in geomatics has lead the concept of Geospatial Artificial Intelligence (GeoAI), which is a new paradigm for geo-information knowledge discovery and beyond. Starting from such a premise, this thesis addresses the topic of developing AI-based techniques for analysing and interpreting complex spatial data. The analysis has covered several gaps, for instance defining relationships between AI-based approaches and spatial data. Considering the multidisciplinary nature of spatial data, major efforts have been undertaken in regard to social media data, infrared thermographic (IRT) images, orthophotos, and point clouds. Initially, a literature review was conducted to understand the main data acquisition technologies and if and how AI methods and techniques could help in this field. More in deep, specific attention is given to the state of the art in AI with the selected data type mentioned above, which is important to deal with four different problem: tourism destination management using sentiment analysis and geo-location information; automatic faults detection on photovoltaic farms; mosaic segmentation based on deep cascading learning; face landmarks detection for head 3D modelling for medical applications. The proposed AI applications open up a wealth of novel and important opportunities for both geomatics and computer science community. The newly collected datasets, as well as the complexity of data taken into exam, make the research challenging. In fact, it is crucial to evaluate the performance of state of the art methods to demonstrate their strength and weakness and help identifying future research for designing more robust AI algorithms. For comprehensive performance evaluation, it is of great importance developing a library and benchmarks to gauge the state of the art, because the design methods tuned to a specific problem do not work properly on other problems. Intensive attention has been drawn to the exploration of tailored learning models and algorithms. The tailored AI methods, adopted for the development of the proposed applications, have shown to be capable of extracting complex statistical features and efficiently learning their representations, allowing it to generalize well across a wide variety of AI tasks, including image classification, text recognition and so on. Limitations point towards unexplored areas for future investigations, serving as useful guidelines for future research directions.
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Chiu, Fang-Hsuan. "L'évolution du Gezai-xi à Taiwan : l'institutionnalisation de la tradition." Paris 8, 2013. http://octaviana.fr/document/182124533#?c=0&m=0&s=0&cv=0.

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Le Gezai-xi est une forme de spectacle vivant musical chanté et dramatisé né sur l’île de Taiwan. Ce n’est pas un art de lettrés, il est issu d’une pratique rurale vivante à Taiwan depuis le XIXe siècle, celle des Gezai, petits chants en langue minnan pratiqués durant le labeur agricole par les populations rurales taiwanaises émigrées de la région méridionale de la province chinoise Fujian. Depuis longtemps le Gezai-xi est considéré comme une forme mineure, car sa principale raison d’être est d’amuser le public. Dans la société taiwanaise actuelle, cette image d’un divertissement populaire, voire vulgaire, persiste. Cette thèse se propose de décrire et d’analyser le processus de transformation en emblème national d’un art du spectacle taiwanais d’origine rurale dans le contexte de la politique culturelle dite d’indigénisation du gouvernement nationaliste et de son projet de construction identitaire nationale. Cette évolution tend à institutionnaliser et à fixer une pratique peu codifiée au risque d’en modifier profondément l’originalité et l’usage. Fondée sur l’enquête historique et le recueil des témoignages des performeurs et des publics la thèse retrace l’évolution de cette forme spectaculaire qui a accompagné la construction de la société taiwanaise tout au long du XXe siècle jusqu’à son institutionnalisation dans la prestigieuse institution publique nationale Fu-Hsing Dramatic Arts Academy qui l’a fait accéder au statut de spectacle identitaire national
Gezai-xi is a form of live performance art, sung and dramatised, which was born on the island of Taiwan. It is not an art of lettered folk; rather it issues from a rural practice which has flourished in Taiwan since the 19th century: that of Gezai, little songs in the minnan language, sung during agricultural labour by rural Taiwanese populations who emigrated from the Fujian province of China. Gezai-xi has long been considered a minor artform, as its principal raison d'être is to entertain the audience. This image of a popular, even vulgar, entertainment persists in current Taiwanese society. The aim of this thesis is to describe and analyse the process by which a Taiwanese performance art with rural origins has been transformed into a national emblem, in the context of the nationalist government's cultural policy known as indigenisation, and its project of constructing a national identity. This development has tended to institutionalise and immobilise a little-codified practice, at the risk of profoundly modifying its originality and usage. Founded on historical inquiry and the collection of testimony from performers and audiences, the thesis retraces the development of the artform, which accompanied the construction of Taiwanese society throughout the 20th century, up to its institutionalization in the Fu-Hsing Dramatic Arts Academy, the prestigious national public institution which has raised it to the status of a national-identity performance art
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Benevenuto, Junior Pedro. "Geoia e ecologia da Leishmaniose Tegumentar no Estado do Espírito Santo." reponame:Repositório Institucional da FIOCRUZ, 2000. https://www.arca.fiocruz.br/handle/icict/4939.

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Made available in DSpace on 2012-09-06T01:11:40Z (GMT). No. of bitstreams: 2 license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) 173.pdf: 2208383 bytes, checksum: 635f306a24f3f4622676b8f32494f657 (MD5) Previous issue date: 2000
A Leishmaniose Tegumentar Americana (LTA) é uma doença infecciosa de evoluçao crônica, causada por protozoários do gênero Leishmania, que pode acometer pele e mucosas do nariz, boca, faringe e laringe, isoladamente ou nao. E uma zoonose transmitida por insetos, genericamente conhecidos como flebotomíneos, popularmente chamados de mosquito palha, cangalhinha, tatuquira, etc. A Organizaçao Mundial da Saúde (OMS) inclui a LTA entre as seis doenças infecciosas e parasitárias prioritárias para açoes de controle, pelo seu potencial epidêmico. Com o objetivo de tentar melhor compreender a epidemiologia da Leishmaniose Tegumentar Americana no Estado do Espírito Santo, realizou-se um estudo do numero de casos acontecidos no período de 1989 a 1998 por município, utilizando-se Sistemas de Informaçao Geográfica-SIG. Foram calculadas as taxas de incidência por município, considerando os limites administrativos de 1991, tomando-se por base os dados como sao registrados pela Fundaçao Nacional de Saúde (Regional Espírito Santo) e a populaçao fornecida pelo IBGE. Foi feita a regularizaçao da série temporal através de Médias Móveis de 5 meses, para diminuir a flutuaçao dos dados, e feito também a modelagem da tendência através de polinômio de terceiro grau. Utilizando-se alguns tipos de análise, fizeram-se as projeçoes em mapas, ano a ano categorizando de acordo com os parâmetros utilizados pela FNS para classificar Taxas Baixas, Médias, Altas e Muito Altas e estudar o comportamento espacial da Leishmaniose Tegumentar Americana por município. Para análise espacial considerando o número de casos, as respectivas taxas de incidência e suas relaçoes com as variáveis ambientais, utilizou-se o SIG Arc-View, através de mapas coropléticos com sobreposiçao de camadas, além do software S-Plus para utilizar-se o Estimador de Kernel para alisamento dos dados no sentido de se determinar as "Areas Quentes" e verificar a intensidade do evento em relaçao a área estudada.
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Juknaitė, Greta. "Sportuojančių ir nesportuojančių trumparegių ir gerai matančių pusiausvyros ir psichomotorinės reakcijos rodiklių palyginimas." Bachelor's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140717_101346-92023.

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Bakalauro darbe atlikta teorinė apžvalga apie trumparegystę, jos veiksnius, profilaktiką, pusiausvyros ir psichomotorinės reakcijos elementus. Darbe analizuojami ir lyginami sportuojančių ir nesportuojančių trumparegių, bei sportuojančių ir nesportuojančių gerai matančiųjų pusiausvyra, propriocepcija ir psichomotorinė reakcija. Suformuluotos dvi hipotezės: 1) Sportuojančių (lengvąją atletiką) trumparegių ir gerai matančių studentų pusiausvyros ir psichomotorinės reakcijos rodikliai bus geresni negu nesportuojančių trumparegių ir gerai matančių jaunuolių; 2) Trijų mėnesių trukmės stalo teniso treniruotės ir kineziterapija pagerins tiriamųjų psichomotorinę reakciją ir pusiausvyrą. Tyrimu buvo siekta įvertinti sportuojančių ir nesportuojančių trumparegių ir gerai matančių psichomotorinės reakcijos ir pusiausvyros rodiklius prieš 3 mėnesius ir po 3 mėnesių eksperimento. Tyrime dalyvavo – 20 (19-22 metų) tiriamųjų, iš jų 10 sportuojančių lengvąją atletiką (5 trumparegiai, 5 gerai matantys), 10 nesportuojančių studentų (5 trumparegiai, 5 gerai matantys). Buvo testuojama tiriamųjų statinė, dinaminė pusiausvyra, propriocepcija ir psichomotorinė reakcija. Po to eksperimentinėms grupėms buvo taikoma 3 mėnesių trukmės pusiausvyros pratimai ir stalo teniso treniruotės. Po 3 mėnesių buvo atliekamas pakartotinis testavimas. Tyrimo gautos išvados: 1. Regėjimas yra efektyvios pusiausvyros jutiklis, tad pusiausvyra žymiai pablogėja silpnėjant regėjimui. Dažniausiai atliekant kažkokią veiklą... [toliau žr. visą tekstą]
Bachelor work performed theoretical overview of the myopia, its factors, prevention, balance and psychomotor reaction. In this work is analyzing and comparing balance, proprioception and psychomotor reactions of myopic athletes and myopic non-athletes also good sighted athletes and non-athletes. Formulated two hypotheses: 1) myopic and good sighted students who are athletics balance and psychomotor reaction rates will be better than non–sport myopic and good sighted youngsters; 2) Three-month table tennis training and physiotherapy improve psychomotor reaction and equilibrium. The study was aimed at evaluating athletes and non-athletes myopic and goodseers psychomotor reaction and equilibrium indicators of 3 months before and 3 months after the experiment. Participated in the study - 20 (19-22 years) patients, 10 of them athletics (5 short sighted, 5 good sighted), 10 non-athletes (5 shortsighted, 5 good sighted). Has been tested static, dynamic balance, proprioception and psychomotor reaction. After that to experimental groups was applied a 3-month balance exercises and table tennis workout. After 3 months they have been a re-testing. The study conclusions : 1. Vision is an effective sensor of balance, and balance significantly get worse decreasing vision. Most often in some sort activity excite the visual and auditory receptors. Of course, the reaction to light stimuli is longer than the sound and sight impaired reaction time is increased even further. 2. Static and... [to full text]
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Prakas, Petras. "Paukščiuose aptinkamų neapibūdintų Sarcocystis genties rūšių filogenetinių ryšių tyrimas naudojant dalines 18S ir 28S rRNR genų sekas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194032-29459.

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SANTRAUKA PAUKŠČIUOSE APTINKAMŲ NEAPIBŪDINTŲ SARCOCYSTIS GENTIES RŪŠIŲ FILOGENETINIŲ RYŠIŲ TYRIMAS NAUDOJANT DALINES 18S IR 28S rRNR GENŲ SEKAS Petras Prakas Vilniaus Universiteto Ekologijos Institutas, Populiacinės Genetikos Laboratorija, Vilnius, Lietuva. Pagal cistų morfologiją, baltakaktėje žąsyje (Anser albifrons) aptiktos I tipo sarkocistos, didžiojoje antyje (Anas platyrhynchos) rastos II tipo sarkocistos, dviejose baltakaktėse žąsyse ir pilkojoje žąsyje (Anser anser) nustatytos III tipo sarkocistos, varnoje (Corvus cornix) identifikuotos V tipo sarkocistos. Iš paukščių, kaip tarpinių šeimininkų išskirtos sarkosporidijos aprašomos pirmą kartą bei yra neįvardintos rūšys. Baltakaktėje bei pilkojoje žąsyse išskirtos III tipo sarkocistos gali būti tos pačios sarkocistų rūšies parazitavimo skirtingų rūšių tarpiniuose šeimininkuose atvejis. Nustatytos 18S ir 28S rDNR fragmentų sekos pasižymėjo didžiausia homologija Sarcocystis bei Frenkelia gentims. Filogenetinių ryšių medyje sugrupuojamos šiame darbe tiriamos rūšys su Frenkelia microti, Frenkelia glareoli, Sarcocystis muris, Sarcocystis neurona. Rezultatai atskleidė Sarcocystis genties rūšių koevoliuciją su jų galutiniais šeimininkais. Remiantis tyrimo duomenimis, galima teigti, kad Sarcocystidae šeimos filogenetinius ryšius apsprendžia sarkosporidijų gyvybinio ciklo ypatybės, šeimininkų spektras bei parazitų specifiškumas šeimininkui. 18S ir 28S rRNR genų dalinių sekų analizė atskleidžia tirtų Sarcocystis sp. rūšių... [toliau žr. visą tekstą]
SUMMARY INVESTIGATION OF THE PHYLOGENETIC RELATIONSHIPS OF SARCOCYSTIS SPP. FOUND IN BIRDS USING 18S AND 28S rRNA GENE PARTIAL SEQENCES Petras Prakas Institute of Ecology of Vilnius University, Laboratory of Population Genetics, Vilnius, Lithuania Based on cyst morphology, Sarcocystis cysts type I were found in white-fronted goose (Anser albifrons), cysts type II in mallard (Anas platyrhynchos), cyst type III in one grey-lag goose (Anser anser) and two white-fronted geese, cyst type V in hooded crow (Corvus cornix). The sarcocysts isolated from the infected birds as intermediate host have not been previously described and are unnamed. Type III sarcocysts detected in white-fronted and greylag geese may illustrate the case of polyhostal nature of sarcocysts when the same-species parasites infesting intermediate hosts of different species. The obtained 18S and 28S ribosomal RNA partial gene sequences showed the highest homology for the genera Sarcocystis and Frenkelia. In the tree of phylogenetic relationships, the species involved in this study were grouped with Frenkelia microti, Frenkelia glareoli, Sarcocystis muris and Sarcocystis neurona. Results show co-evolution of Sarcocystis spp. with the final host. Based on data obtained it could be stated that phylogenetic relationships of Sarcocystidae family are influenced by peculiarity of life cycle, hosts spectrum and host specificity. Analysis of the partial sequences of 18S and 28S ribosomal RNA revealed the phylogenetic and... [to full text]
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6

Norvilas, Rimas. "Segetinės floros išplitimo tyrimai Lietuvos ir Anglijos ekologiniuose ūkiuose, ir jų vertinimas pagal atitikimą gerai agrarinei būklei." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090615_115457-24048.

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Tyrimų objektas-segetinės floros apskaita ir vertinimas Lietuvos ir Anglijos agrofitocenozėse ir jų atitikimo gerai agrarinei būklei. Tyrimų tikslas-palyginti mūsų šalies ekologinių ūkių varpinių javų suformuotų agrofitocenozių segetinės floros kiekį su Anglijos ūkio ekologiškų varpinių javų suformuotų agrofitocenozių segetinės floros kiekiu ir įvertinti jų atitikimą pagal parengtą ir toliau tobulinamą pasėlių geros agrarinės būklės metodiką. Darbo metodai-ekspedicinių tyrimu metu atlikta segetinės floros apskaita keturiose-penkiose 0,25 m-2 dydžio aikštelėse. Surinkti duomenys apie ekologinių ūkių ūkininkavimo patirtį, bei agrofitocenozių būklę. Remiantis monografiniu ir kameraliniu metodu įvertintas agrofitocenozių atitikimas gerai agrarinei būklei. Darbo rezultatai-įvertinus Lietuvos ir Anglijos ekologinių ūkių javų suformuotų agrofitocenozių segetinę florą nustatyta, kad segetinės floros kiekis mūsų šalies ekologinių ūkių javų suformuotų agrofitocenozių ir Anglijos ekologinio ūkio panašūs: Anglijos žiemkenčių agrofitocenozėse rasti vidutiniškai 76 vnt.m-2, tuo tarpu Lietuvos ekologinių ūkių žieminių javų suformuotose agrofitocenozėse 78 vnt.m-2 ir 67 vnt.m-2 atitinkamai. Pagal tobulinamą pasėlių geros agrarinės būklės metodiką, tyrimam pasirinktos agrofitocenozės atitinka geros agrarinės būklės reikalavimus, nes segetinės floros kiekis neviršija 100 vnt.m-2.
Objectives of the research: compare of the amount of segetic flora in agrophytocenosis of crops in the organic farms of Lithuania and England, and evaluation of their compliance with the requirements of good agrarian condition. Results of the research: the research was carried out in the summer time of 2007-2008. The aim of research, to measure and compare weed flora in the organic farms between our country and England. The number of segetic flora which was found in both countries organic farms was similar: 78 unit m-2 and 67 unit m-2 in the organic farms of Lithuania, and 76 unit m-2 in the organic farm of England. Evaluation of compliance with the requirements of good agrarian condition showed that agrophytocenosis of winter crops of organic farms in Lithuania and England can be considered as complying with, because amount of segetic flora was less than 100 unit m-2.
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7

Meržvinskytė, Rasa. "Aktyvaus chromatino analizė žmogaus promielocitinės leukemijos HL-60 ląstelių granulocitinės analizės diferenciacijos metu." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_194023-77061.

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Histonų potransliacinės modifikacijos sąlygoja chromatino struktūros pakitimus, lemiančius genų, atsakingų už ląstelėje vykstančių įvairių procesų, tokių kaip proliferacija, diferenciacija, apoptozė reguliavimą. Šiame darbe įvertinome chromatino baltymų, histonų H3 ir H4, modifikacijų dinamiką HL-60 ląstelėse, indukuotose granuliocitinei diferenciacijai su retinoine rūgštimi (RA) ir histonų deacetilazių slopikliais, fenilo butiratu (PB) ir vitaminu B3 (vitB3) bei jų kombinacijomis. Aktyvaus chromatino baltymų kompleksai proliferuojančiose ir diferenciacijai indukuotose ląstelėse buvo analizuojami chromatino imunoišsodinimo metodu, naudojant antikūnus prieš histonus - hiperacetilintą H4 ir trimetil-Lys4 H3, esančius aktyvaus chromatino vietose mononukleosomų frakcijoje. Atlikta baltymų, esančių komplekse su modifikuotais histonais H3 ir H4 proteominė analizė vienmatėje (SDS/PAGE) ir dvimatėje (2DE) elektroforezės sistemose. Nustatyti baltymai, sąveikaujantys su hiperacetilintu H4 ir trimetil-Lys4 H3. Tai baltymai, dalyvaujantys genų raiškos iniciavime bei chromatino modifikacijose, t.y. transkripcijos faktorius Sp1, metionino acetiltransferazė, DNR metiltransferazė ir kt. Taip pat patodyta, kad HL-60 ląstelėse p21 WAF1/CIP geno raiška priklauso nuo pasirinkto induktoriaus. Apibendrinant manome, kad poveikio variantas - 3mM PB su 5mM vit.B3 6 val., nuplovus tolesnis poveikis su 1μM RA ir 5mM vit.B3 24 val., galėtų būti tinkamas leukeminių ląstelių diferenciacinei terapijai... [toliau žr. visą tekstą]
Recently, a novel strategy for the treatment of leukemia’s through the modulation of chromatin structure is applicable. In this study, we conducted a detailed analysis of anti-leukemia effects of histone deacetylase (HDAC) inhibitors and their combinations with retinoic acid using human promyelocytic leukemia cell line HL-60. We have shown that HDAC inhibitors - phenyl butyrate and vitamin B3, cause rapid histone H3 and H4 modifications. Further we examined how HDACI and retinoic acid (RA) can modulate gene expression via acetylation and other modifications of histones associated with targeted genes. We performed Chip assay to identify proteins associated with hyperacetylated histone H4. Immunoprecipitated proteins were fractionated by SDS/PAGE and 2DE. Proteomic analysis was performed by using mass spectrometry (MALDI TOF and ESI MS/MS). We identified Sp1 transcriptional activation, DNA methyltransferase, methionine acetyltransferase and other proteins that were associated with modified histones H3 and H4. To evaluate the changes ofp21 gene expression affected by hyperacetylation of histone H4 during HL-60 cell granulocytic differentiation we performed PGR of active chromatin immunoprecipitated with hyperacetylated H4 by using different primers of p21 gene. In this study we have shown that p21 gene expression changes during granulocytic differentiation and depends on inducer. Our results suggest that the chromatin remodeling caused by HDAC inhibitors could be a promising... [to full text]
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8

Vaitkienė, Grigaitė Paulina. "A study of tumor suppressor gene expression and promoter methylation for the identification of prognostic markers in glioblastoma." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130419_111627-63926.

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Glioblastoma (GBM) is the most common primary brain tumor in adults. This study attempted to identify the genes potentially regulated by promoter methylation in GBM. Therefore, we analyzed the expression of COX7A1, SPINT1, AREG, NPTX2, and KRT81 in glioblastomas and human brain tissue and investigated if there were any associations between the expression and methylation of these genes. Moreover, we aimed to determine the methylation frequency of 11 genes (AREG, CASP8, CD81, DcR1, DR4, GATA4, GATA6, hMLH1, NPTX2, TES, and TFPI2) promoters in 100 patients with glioblastoma multiforme and to evaluate the associations between patients’ clinical characteristics and prognostic value. The methylation status of the following 4 gene promoters was significantly related to patients’ survival after surgery: AREG, CASP8, GATA6 and TFPI2. Identification of the methylation status of these genes could be one of the objective criteria in the prognosis of disease course in patients with glioblastoma and could supplement the list of already known epigenetic markers. The methylation status of a combination of 6 genes (AREG, CASP8, DR4, GATA4, GATA6, and TFPI2) was found to be a more accurate independent prognostic factor associated with patients’ survival after surgery when compared with the methylation status of individual genes. The molecular classification of GBM according to the methylation profile of a combination of these 6 genes could help clinicians tailor an appropriate treatment... [to full text]
Glioblastoma (GBM) yra vienas labiausiai paplitusių ir agresyviausių pirminių galvos smegenų auglių. Siekiant nustatyti molekulinius žymenis, susijusius su GBM vystymusi, diagnoze ir prognoze, buvo atlikta 14 genų (AREG, CASP8, CD81, COX7A1, DcR1, DR4, GATA4, GATA6, hMLH1, KRT81, NPTX2, SPINT1, TES ir TFPI2) promotorių metilinimo analizė. Buvo nustatyti naviką slopinančių genų promotorių metilinimo dažniai, ryšiai su klinikinėmis sergančiųjų GBM charakteristikomis ir prognozinė vertė. Disertacinio darbo metu nustatyta, kad AREG ir NTPX2 genų raiška susijusi su šių genų promotorių metilinimu, tuo tarpu COX7A1, KRT81 ir SPINT1 genų raiškos skirtumai nėra susiję su šių genų promotorių metilinimu. Naujų epigenetinių žymenų tyrimai 100 GBM pavyzdžių parodė navikų epigenetinį heterogeniškumą ir įvairų tirtų genų promotorių metilinimo dažnį. Nustatyta, kad AREG, CASP8, GATA6 ir TFPI2 genų promotorių metilinimas statistiškai patikimai susijęs su išgyvenimo trukme po operacijos. Šių genų promotoriaus metilinimo nustatymas gali būti vienas iš objektyvių kriterijų prognozuojant pacientų ligos eigą ir papildyti jau nustatytų epigenetinių žymenų sąrašą. Buvo sudarytas, suminis šešių genų (AREG, CASP8, DR4, GATA4, GATA6 ir TFPI2) derinys, kuris yra tikslesnis nepriklausomas prognozinis veiksnys, susijęs su išgyvenimo trukme po operacijos lyginant su atskirų genų promotorių metilinimu. GBM molekulinis tipavimas pagal šių šešių genų derinį galėtų padėti parenkant gydymo strategiją.
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9

Ludwig, Frank. "Charakterisierung geruchsstoffproduzierender, benthischer Cyanobakterien in Trinkwassertalsperren des Erzgebirges." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-100488.

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Geruchsstoffe in Trinkwassergewinnungsanlagen stellen ein weltweit auftretendes Problem dar und führen in der Regel zu einer Kostenintensivierung bei der Aufbereitung des Rohwassers. Die den erdig-muffigen Geschmack des Wassers verursachenden, hauptsächlichsten Substanzen Geosmin und 2-Methylisoborneol (2-MIB) sind schon in einem Konzentrationsbereich von 1-10 ng/L wahrnehmbar. Da das Trinkwasser Geruchs- und Geschmacksneutral sein soll, müssen im Zuge der Rohwasseraufbereitung die Geruchsstoffe entfernt werden. Geruchsstoffe können durch verschiedene Mikroorganismen wie Cyanobakterien, Aktinomyceten, Streptomyceten oder auch Algen gebildet werden. Das Ziel dieser Arbeit stellte daher die Identifikation von cyanobakteriellen Geruchsstoffbildnern in den drei sächsischen Trinkwassertalsperren Klingenberg, Cranzahl und Saidenbach dar. Das Hauptaugenmerk lag auf der Charakterisierung der vorkommenden benthischen Cyanobakterien. Neben deren Abhängigkeit von der Trophie des Gewässers sollte das Artenspektrum der benthischen Cyanobakterien untersucht werden sowie eine Identifikation erfolgen, welche Geruchsstoffe sie synthetisieren bzw. freisetzen. Dazu erfolgte die Gewinnung von Isolaten benthischer Cyanobakterien anhand von Proben, die aus den Talsperren entnommen wurden. Die anschließende Charakterisierung der Isolate wurde sowohl auf morphologischer als auch auf molekularbiologischer Ebene durch die partielle Sequenzierung der rbcL- und geoA-Gene durchgeführt. Ein weiteres Ziel bestand darin, die Fähigkeit zur Bildung von Geosmin und 2-MIB nachzuweisen. Dazu sollten ausgewählte Isolate, zur Abschätzung des Geruchsstoff-Bildungspotentials der Cyanobakterien in der Talsperre, unter verschiedenen Laborbedingungen kultiviert und auf die Bildung und Freisetzung von Geruchsstoffen hin untersucht sowie der Einfluss der Beleuchtung durch verschiedene Lichtfarben bzw. Spektren und des Mediums bestimmt werden. Zusätzliche Fragestellungen stellten die Identifikation spezifischer Gene sowie die Entwicklung eines geeigneten Primersystems und gegebenenfalls der Nachweis einer Korrelation zur Geruchsstoffbildung dar. Anhand der Klima- und der physikalischen Daten sollten mögliche Einflussgrößen auf die Geruchsstoffproduktion durch benthische Cyanobakterien aufgezeigt werden. Durch regelmäßige Probenahmen wie auch Kamerabefahrungen in Zusammenarbeit mit der Landestalsperrenverwaltung Sachsen wurde die Entwicklung des von Cyanobakterien dominierten Phytobenthos in drei Talsperren verfolgt und dokumentiert. Dabei konnte gezeigt werden, dass dieses durch Vertreter der Gattungen Oscillatoria und Phormidium dominiert wurde. Im Verlauf der Untersuchungen konnten mehrere Massenentwicklungen von Cyanobakterien verfolgt werden. Die Abnahme des Staupegels ist in Verbindung mit der Sonneneinstrahlung die möglicherweise wichtigste Stellgröße für eine Massenentwicklung benthischer Cyanobakterien und einem damit verbundenen Anstieg des Geruchsstoff-Gehalts im Roh- bzw. Oberflächenwasser. Die Analyse der Entwicklung der Cyanobakterien unter natürlichen Bedingungen stellt aufgrund der großen Varianz der Einfluss nehmenden Parameter eine sehr komplexe Aufgabe dar. Daher wurden zur umfangreicheren Analyse der Herkunft der Geruchsstoffe Cyanobakterien isoliert. Dadurch wurde es möglich, das Geruchsstoff-Bildungspotential näher zu charakterisieren. Die erhaltenen Isolate wurden durch morphologische Merkmale bestimmt und molekularbiologisch durch partielle Sequenzierung des rbcL-Gens klassifiziert. Weiterhin erfolgte der analytische Nachweis von Geruchsstoffen in der Biomasse der Cyanobakterien sowie im Kultivierungsmedium. Der Nachweis von Geosmin in der Biomasse konnte hoch signifikant mit dem PCR-Nachweis von geoA korreliert werden. Es konnte gezeigt werden, dass der Besitz von geoA zu einer deutlich stärkeren Bildung und Freisetzung des Geruchsstoffs führt. Für das unter natürlichen Bedingungen ebenfalls auftretende 2-MIB konnten dagegen keine gesicherten cyanobakteriellen Produzenten identifiziert werden. 2003 wurde die Funktionalität des Gens cyc2 in Streptomyceten durch Gust et al. beschrieben. Auf dieser Grundlage konnte ein degeneriertes Primersystem zum Nachweis eines Stoffwechselgens (geoA) bei Cyanobakterien entwickelt werden. Die Biomasse des Isolats Phormidium sp. P2r aus der Talsperre Saidenbach enthielt einerseits in besonders großen Mengen intrazelluläres Geosmin. Andererseits konnten aber auch im Kultivierungsmedium hohe Geosminkonzentrationen ermittelt werden. Durch die Anwendung des etablierten Primersystems konnte mit der isolierten, genomischen DNA dieses Cyanobakteriums ein Amplifikat erhalten und sequenziert werden. Durch die Anwendung weiterer Protokolle, wie beispielsweise degenerierte Primersysteme oder des Vectorette-Ansatzes konnte der bekannte Sequenzbereich deutlich vergrößert werden. Dabei stellte es sich heraus, dass Phormidium sp. P2r zwei sehr ähnliche Gene (geoA1 und geoA2) besitzt, die vermutlich koreguliert werden. Die mRNA-Expressionsuntersuchungen bestätigten die Expression beider Gene bei Licht und einer Temperatur im Bereich von 10 - 20 °C. Nach einer 24stündigen Dunkelphase konnte die Bildung der geoA-mRNA hingegen nicht mehr nachgewiesen werden, was die Vermutung bestätigt, dass die Aktivität der Gene reguliert und nicht konstitutiv ist. Eine Verbindung der Synthese von Geosmin zur Photosysnthese ist aber dennoch fraglich. Die molekularbiologische Bestimmung der Diversität von geoA in Proben des Phytobenthos aus der Talsperre Klingenberg offenbarte eine große Vielfalt unterschiedlicher Sequenzen. Dies könnte auf vielfältigste Geosmin produzierende Mikroorganismen hinweisen. Das Geruchsstoff-Bildungspotential der isolierten und charakterisierten Cyanobakterien wurde unter verschiedenen Testbedingungen ermittelt. Dabei wurde vor allem der Einfluss unterschiedlicher Nährstoffkonzentrationen sowie Lichtfarben einschließlich UV-Strahlung untersucht. Es hat sich gezeigt, dass alle getesteten Stämme zur Geosmin-Freisetzung befähigt waren und sich das Freisetzungsniveau massiv in Abhängigkeit des Besitzes von geoA unterschied. Bei grünem Licht, welches auch in den untersuchten Talsperren den dominierenden Spektralanteil im Wasserkörper darstellt, wurde neben dem Tageslicht das beste Wachstum benthischer Cyanobakterien ermittelt. Letztendlich konnte durch die Laborexperimente eine variable Geosminbildung sowie ein unterschiedlicher Einfluss der Testbedingungen festgestellt werden. In der Talsperre Klingenberg konnte im Juni 2007 ein Gehalt von bis zu mehr als 70 ng Geosmin/L Oberflächenwasser bei einer Geruchsschwellenkonzentration von 1 ng/L (Young et al., 1996) ermittelt werden. Die Herkunft dieses Geruchsstoffs kann mit den Ergebnissen dieser Arbeit eindeutig den benthischen Cyanobakterien zugeordnet werden. Von besonderer Bedeutung war die Feststellung, dass der Besitz von geoA unter den benthischen Cyanobakterien der drei untersuchten Talsperren mit etwa 33 % der unterschiedlichen rbcL-Genotypen nicht weit verbreitet war. Die Rolle der anderen Cyanobakterien darf jedoch nicht unterschätzt werden, da z. B. hohe Geruchsstoff-Konzentrationen in der Talsperre Klingenberg bei einer deutlichen Dominanz von Oscillatoria sp. zustande kamen, aber alle als Oscillatoria klassifizierten Isolate geoA negativ waren. Eine Vorhersage der Entwicklung benthischer Cyanobakterien in den Talsperren kann auch mit den Ergebnissen dieser Arbeit nicht getroffen werden. Dazu ist die Reaktion der Cyanobakterien auf unterschiedliche Umweltfaktoren wie diese bei der Geruchsstoff-Bildung getestet wurden zu mannigfaltig. Wenn Cyanobakterien im Phytobenthos der Talsperren nachweisbar sind, könnte eine Prognose zur weiteren Entwicklung unter Berücksichtigung der zu erwartenden Veränderungen der Rahmenbedingungen, wie vor allem des Staupegels gegeben werden. Zur Ausbildung stabiler Cyanobakterien-Matten wie diese in der Talsperre Cranzahl 2007 vorhanden waren, ist sicherlich eine längerfristige Stabilität verschiedener und bislang noch unbekannter Rahmenbedingungen nötig. Obwohl die Dominanz der Cyanobakterien bei der Bildung von Geruchsstoffen im Phytobenthos in ähnlichen Habitaten auf Grund dieser Untersuchungen nicht mehr in Frage gestellt werden wird, ist dennoch die Möglichkeit gegeben, dass möglicherweise unter anderen Voraussetzungen und Bedingungen auch andere, nicht näher untersuchte Mikroorganismengruppen wie Aktinomyceten intensiv Geruchsstoffe in Talsperren bilden könnten.
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Tverkuvienė, Justina. "Naviką slopinančių genų promotoriaus DNR metilinimo tyrimai krūties navikuose." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20101125_190736-79093.

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Krūties vėžys yra dažniausia Lietuvos ir viso pasaulio moterų onkologinė liga. Ši liga pasižyminti nevienoda eiga, todėl molekulinė vėžio analizė yra labai svarbi. Šiuo metu ligos eiga prognozuojama, remiantis riboto informatyvumo klinikinių žymenų sistema, o gydymui tik pavieniais atvejais skiriami atrankūs vaistai, nukreipti į ligą sukėlusį genetinį pakitimą. Naviko molekulinė analizė padeda aptikti pažaidas vėžio genuose ar jų raiškos pakitimus ir informuoja apie ligos išsivystymo priežastis, padeda prognozuoti ligos progresavimo tikimybę, atskleidžia taikinius naujos kartos gydymo priemonėms. Siekiant įvertinti krūties vėžio epigenetinių biožymenų efektyvumą mes tyrėme reguliacinių genų, dalyvaujančių ląstelės ciklo kontrolėje, signalų perdavime, apoptozėje ir DNR reparacijoje, promotoriaus sekų hipermetilinimą. Tyrimui buvo atrinktos 76 pirminės ankstyvos stadijos (pT1-2) krūties karcinomos. Metilinimo pakitimai promotoriaus sekoje buvo tiriami septyniuose naviką slopinančiuose genuose (p14, p16, RARβ, RASSF1A, DAPK, GSTP1 ir MGMT), taikant metilinimui jautrią PGR. „Tikro laiko“ PGR metodas buvo įdiegtas epigenetinių pakitimų tyrimams cirkuliuojančioje vėžio DNR, išskirtoje iš ligonių kraujo plazmos. Didžioji dalis ankstyvos stadijos krūties karcinomų (63/76) turėjo bent vieno tirto geno hipermetilinimą. Bendras epigenetinių žymenų informatyvumas – 83%. Dažniausiai hipermetilinimas krūties karcinomose nustatytas gene RASSF1A (56/76). Statistinė analizė parodė... [toliau žr. visą tekstą]
Breast cancer is the most prevalent malignancy of women in Lithuania and word-wide. The course of disease differ markedly among patients, therefore molecular characterisation of tumour is very important. However, current prognostic markers are mainly based on clinical parameters and do not enable a reliable selection of the patients with high risk of disease progression. Molecular characterisation of tumour through detection of changes in cancer-related genes can help to estimate the risk of cancer progression, detect the molecular targets for modern treatment strategies. In order to evaluate the suitability of epigenetic biomarkers for molecular characterisation of breast cancer we analysed promoter hypermethylation in a wide panel of regulatory genes involved in cell cycle control, signalling, apoptosis and DNA repair. 76 primary breast carcinomas of early stage (pT1-2) were selected for the study. Aberrant methylation in promoter regions of seven tumour suppressor genes (p16, p14, RARβ, RASSF1A, DAPK, GSTP1 and MGMT) was analysed by means of methylation-specific PCR. The “Real Time” PCR method was adapted for detection of epigenetic changes in circulating tumour DNA from plasma of cancer patients. Most of the early-stage breast tumours (63/76) exhibited hypermethylation in at least one gene involved in analysis. The overall sensitivity of the epigenetic biomarkers was 83%. Gene RASSF1A was the most frequently (56 of 76 cases) hypermethylated gene in breast tumours... [to full text]
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Books on the topic "GeoAI"

1

Bobin, Christian. Geai. [Paris]: Gallimard, 1998.

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Kaidō, Takeru. Gekai Suma Hisayoshi. Tōkyō: Kōdansha, 2009.

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Le geai bleu. L'Acadie [Québec]: Éditions Broquet, 1995.

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Kabuki jōruri gedai yomikata jiten. Tōkyō: Nichigai Asoshiētsu, 1990.

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Le geai bleu et le papillon. Ottawa, Ont: Éditions du Vermillon, 1992.

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Amano, Keiichi. Nō gekai ga oshieru boke yobō 15-kajō. Tōkyō: Shinchōsha, 2006.

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Avraham Yitsḥaḳ ben Y. L. Blokh. Shiʻure rabenu ha-Gerai mi-Ṭelz: ʻal Masekhet Yevamot. Ṿiḳlif, Ohayo: Yeshivat Ṭelz, 1993.

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Gedai, István. Keresztény értékrend és nemzet múzeuma: Gedai Istvánnal beszélget Dvorszky Hedvig. Budapest: Kairosz, 2011.

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Kumazawa, Kenʾichi. Kokuchi: Gekai mizukara jissenshita tsuma e no gan kokuchi to makki iryō. Tōkyō: Magajin Hausu, 1998.

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Li, Jun, Jocelyn Chanussot, and Saurabh Prasad. Advances in Machine Learning and Image Analysis for GeoAI. Elsevier, 2024.

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Book chapters on the topic "GeoAI"

1

Li, Wenwen, and Samantha T. Arundel. "GeoAI and the Future of Spatial Analytics." In New Thinking in GIScience, 151–58. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3816-0_17.

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Ahmed, Adel, Tim Dwyer, Michael Forster, Xiaoyan Fu, Joshua Ho, Seok-Hee Hong, Dirk Koschützki, et al. "GEOMI: GEOmetry for Maximum Insight." In Graph Drawing, 468–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11618058_42.

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Van Den Daele, W., S. Cristoloveanu, E. Augendre, C. Le Royer, J. F. Damlencourt, D. Kazazis, and A. Zaslavsky. "GeOI as a Platform for Ultimate Devices." In Future Trends in Microelectronics, 141–57. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470649343.ch11.

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"GeoAI in social science." In Handbook of Spatial Analysis in the Social Sciences, 291–304. Edward Elgar Publishing, 2022. http://dx.doi.org/10.4337/9781789903942.00025.

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Ranjgar, Babak, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, and Soo-Mi Choi. "Natural Hazard Susceptibility Mapping Using Ubiquitous Geospatail Artificial Intelligence (Ubiquitous GeoAI) Concept: A Case Study on Forest Fire Susceptibility Mapping." In Current Overview on Science and Technology Research Vol. 7, 100–119. Book Publisher International (a part of SCIENCEDOMAIN International), 2022. http://dx.doi.org/10.9734/bpi/costr/v7/2669a.

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Sánchez Hernández, José Luis. "Otras economías, otros espacios, otros retos para la Geografía Económica." In La Geografía de las redes económicas y la geografía económica en rede, 11–16. Faculdade de Letras da Universidade do Porto e Asociación de Geógrafos Españoles, 2020. http://dx.doi.org/10.21747/9789898969460/geoa1.

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Méndez, Ricardo. "Desafíos de futuro para la investigación en Geografía Económica." In La Geografía de las redes económicas y la geografía económica en rede, 17–21. Faculdade de Letras da Universidade do Porto e Asociación de Geógrafos Españoles, 2020. http://dx.doi.org/10.21747/9789898969460/geoa2.

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Vale, Mário, Luís Balula, Luís Carvalho, and José Manuel Simões. "Instituições de Ensino Superior e Especialização Inteligente : o contributo dos Institutos Superiores Politécnicos para a Implementação da RIS3 em Portugal." In La Geografía de las redes económicas y la geografía económica en rede, 23–32. Faculdade de Letras da Universidade do Porto e Asociación de Geógrafos Españoles, 2020. http://dx.doi.org/10.21747/9789898969460/geoa3.

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Santos, H., T. Sá Marques, P. Ribeiro, and M. Torres. "Especialização inteligente : as redes de projetos europeus H2020 com ancoragem em Portugal." In La Geografía de las redes económicas y la geografía económica en rede, 33–54. Faculdade de Letras da Universidade do Porto e Asociación de Geógrafos Españoles, 2020. http://dx.doi.org/10.21747/9789898969460/geoa4.

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Gama, R., C. Barros, R. David, and R. Fernandes. "Especialização inteligente e redes de conhecimento : a Universidade de Coimbra num contexto de globalização." In La Geografía de las redes económicas y la geografía económica en rede, 55–64. Faculdade de Letras da Universidade do Porto e Asociación de Geógrafos Españoles, 2020. http://dx.doi.org/10.21747/9789898969460/geoa5.

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Conference papers on the topic "GeoAI"

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Chow, T. Edwin. "When GeoAI Meets the Crowd." In SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3281548.3281551.

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P. S. Chauhan, Lokendra, and Shashi Shekhar. "GeoAI – Accelerating a Virtuous Cycle between AI and Geo." In IC3 '21: 2021 Thirteenth International Conference on Contemporary Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3474124.3474179.

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Peng, Shaoliang, Liang Bai, Li Xiong, Qiang Qu, Xiaolan Xie, and Shulin Wang. "GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain." In 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM). IEEE, 2021. http://dx.doi.org/10.1109/healthcom49281.2021.9399031.

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García Pereira, Agustín, Adegboyega Ojo, Edward Curry, and Lukasz Porwol. "Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.115.

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Yang, Jiue-An, and Marta M. Jankowska. "Contextualizing Space and Time for GeoAI JITAIs (Just-in-Time Adaptive Interventions)." In SIGSPATIAL '19: 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3356471.3365239.

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Li, Wenwen, Chia-Yu Hsu, Sizhe Wang, Chandi Witharana, and Anna Liljedahl. "Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features." In SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3557918.3565869.

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D. Ali, Syamani, Ichsan Ridwan, Meldia Septiana, Abdi Fithria, Arfa Agustina Rezekiah, Adi Rahmadi, Mufidah Asyari, Hidayatul Rahman, and Gita Ayu Syafarina. "GeoAI for Disaster Mitigation: Fire Severity Prediction Models using Sentinel-2 and ANN Regression." In 2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES). IEEE, 2022. http://dx.doi.org/10.1109/icares56907.2022.9993515.

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Mishra, Arpita, Krishna Kant Rana, and Talabattula Srinivas. "Polarization-Insensitive Broadband Germanium on Insulator (Ge-OI) Grating Coupler." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jtu5a.62.

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We have designed a novel Polarization Independent, Broadband, trapezoidal bilayer grating structure on GeOI platform which couples nearly 70 % of Transverse Electric (TE) and 60 % of Transverse Magnetic (TM) modes respectively.
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Chung, C. T., G. L. Luo, C. W. Chen, and C. H. Chien. "An Alternative Technique for GeOI Fabrication." In 2013 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2013. http://dx.doi.org/10.7567/ssdm.2013.p-1-3.

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Yu, Xiao, Jian Kang, Rui Zhang, Mitsuru Takenaka, and Shinichi Takagi. "Mobility improvement of ultrathin-body Germanium-on-insulator (GeOI) MOSFETs on flipped Smart-Cut™ GeOI substrates." In 2015 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon (EUROSOI-ULIS). IEEE, 2015. http://dx.doi.org/10.1109/ulis.2015.7063798.

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Reports on the topic "GeoAI"

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Lunga, Dalton D., Budhu Bhaduri, and Robert Stewart. The Trillion Pixel GeoAI Challenge Workshop. Office of Scientific and Technical Information (OSTI), December 2019. http://dx.doi.org/10.2172/1606744.

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Yang, Lexie, Dalton Lunga, Budhu Bhaduri, Edmon Begoli, Jordan Lieberman, Timothy Doster, Hannah Kerner, et al. 2021 GeoAI Workshop Report: The Trillion Pixel Challenge. Office of Scientific and Technical Information (OSTI), December 2021. http://dx.doi.org/10.2172/1883938.

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