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Articles de revues sur le sujet « The Underworld Detection Agency series »

Auteur : Grafiati

Publié le 25 juillet 2024

Mis à jour le 31 juillet 2025

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Yuan, Yuling, Youxuan Xu, and Jianghai Lu. "Dried blood spots in doping analysis." Bioanalysis 13, no. 7 (2021): 587–604. http://dx.doi.org/10.4155/bio-2021-0019.

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A series of dried blood spot (DBS) detection methods for doping agents have been developed in the last two decades. The DBS technique minimizes invasiveness and reduces storage and shipping costs. Recently, the World Anti-Doping Agency announced the use of DBS for the 2022 Beijing Winter Olympic Games and Paralympic Games owing to the advantages of the DBS application in routine doping control. Therefore the further development of detection methods for doping agents in DBS is important and urgent. This review summarizes five aspects of DBS application in doping analysis: sample collection, sto

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Trier, Øivind Due, and Arnt-Børre Salberg. "National-Scale Detection of New Forest Roads in Sentinel-2 Time Series." Remote Sensing 16, no. 21 (2024): 3972. http://dx.doi.org/10.3390/rs16213972.

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The Norwegian Environment Agency is responsible for updating a map of undisturbed nature, which is performed every five years based on aerial photos. Some of the aerial photos are already up to five years old when a new version of the map of undisturbed nature is published. Thus, several new nature interventions may have been missed. To address this issue, the timeliness and mapping accuracy were improved by integrating Sentinel-2 satellite imagery for the detection of new roads across Norway. The focus on new roads was due to the fact that most new nature interventions include the constructio

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Spinosa, Anna, Alex Ziemba, Alessandra Saponieri, Leonardo Damiani, and Ghada El Serafy. "Remote Sensing-Based Automatic Detection of Shoreline Position: A Case Study in Apulia Region." Journal of Marine Science and Engineering 9, no. 6 (2021): 575. http://dx.doi.org/10.3390/jmse9060575.

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Remote sensing and satellite imagery have become commonplace in efforts to monitor and model various biological and physical characteristics of the Earth. The land/water interface is a continually evolving landscape of high scientific and societal interest, making the mapping and monitoring thereof particularly important. This paper aims at describing a new automated method of shoreline position detection through the utilization of Synthetic Aperture Radar (SAR) images derived from European Space Agency satellites, specifically the operational SENTINEL Series. The resultant delineated shorelin

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Phiri, Elias, and Wei Wang. "Time Series Analysis and structural break detection: A case of Zambia’s CPI." International Journal of Economic Policy 2, no. 1 (2022): 33–43. http://dx.doi.org/10.47941/ijecop.914.

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Purpose: By empirically examining Zambia’s CPI between 2010 and 2020, the study attempts to determine the structural change in the time series. The CPI is one of the most important variables for analyzing inflation in macroeconomics, therefore any change in the dynamic must be determined. In this paper change points and dates are highlighted and statistical analysis methods have been employed to explore and discover the underlying patterns and trends of Zambia’s CPI for the past 10 years. Methodology/approach: Secondary Data from Zambia Statistics Agency (ZamStats.gov.zm) was used for th

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Ferreira, E., M. Brito, R. Balaniuk, M. S. Alvim, and J. A. dos Santos. "BRAZILDAM: A BENCHMARK DATASET FOR TAILINGS DAM DETECTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 6, 2020): 343–48. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-343-2020.

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Abstract. In this work we present BrazilDAM, a novel public dataset based on Sentinel-2 and Landsat-8 satellite images covering all tailings dams cataloged by the Brazilian National Mining Agency (ANM). The dataset was built using georeferenced images from 769 dams, recorded between 2016 and 2019. The time series were processed in order to produce cloud free images. The dams contain mining waste from different ore categories and have highly varying shapes, areas and volumes, making BrazilDAM particularly interesting and challenging to be used in machine learning benchmarks. The original catalo

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Rodrigues, M. L., T. S. Körting, G. R. de Queiroz, C. P. Sales, and L. A. R. da Silva. "DETECTING CENTER PIVOTS IN MATOPIBA USING HOUGH TRANSFORM AND WEB TIME SERIES SERVICE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 4, 2020): 73–78. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-73-2020.

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Abstract. In the last decades, the Brazilian Cerrado biome has undergone major transformations due to the expansion of the agricultural frontier. The region called MATOPIBA acronym for states Maranhão, Tocantins, Piauí, and Bahia can be considered very attractive for agricultural expansion. The Cerrado predominates in the MATOPIBA region (91% of the area), also having small areas of the Amazon and Caatinga biomes to the northeast and east, respectively. In this work, we will present a study to identify center pivot irrigation systems in the MATOPIBA region using remote sensing images from Land

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Yoon, Donghyeon, Ha-eun Yu, and Moung-Jin Lee. "Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses." GEO DATA 5, no. 3 (2023): 185–94. http://dx.doi.org/10.22761/gd.2023.0032.

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This study developed the European Space Agency (ESA) Setinel-1 Ground Range Detected (GRD) time series analysis model for monitoring floating debris in lake areas through Google Earth Engine Application Programming Interface. The study aims to monitor floating debris caused by heavy rainfall efficiently. Regarding water resources and water quality management, floating debris from multipurpose dams requires continuous monitoring from the initial generation stage. In the study, a Synthetic Aperture Radar (SAR) time series analysis model that is easy to identify water bodies was developed due to

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Mathur, Raaghav, Ashish Khanna, and Abhijeet Singh. "Early Detection of Ransomware Exploits Using Snort." Innovative Computing and Communication: An International Journal 1, no. 1 (2019): 35–45. https://doi.org/10.5281/zenodo.4743527.

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We live in a fast-evolving internet age where opportunities are limitless, but so are the risks and chances of security breaches. In 2017, ‘The Shadow Brokers’, a self-proclaimed group of hackers, released several hacking tools and zero day exploits from the intelligence arsenal of USA’s National Security Agency (NSA). Chief amongst these exploits were - Eternal Blue, Eternal Romance, Eternal Synergy and Eternal Champion. These, along with Eternal Red, were collectively titled the ‘Eternal Series Exploits’. These exploits were subsequently used to make potential c

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Kohlke, Marie-Luise. "Heterotopic Proliferation in E. S. Thomson’s Jem Flockhart Series." Humanities 11, no. 1 (2022): 15. http://dx.doi.org/10.3390/h11010015.

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This article explores the convergence, inversion, and collapse of heterotopic spaces in E. S. Thomson’s neo-Victorian Jem Flockhart series about a cross-dressing female apothecary in mid-nineteenth-century London. The eponymous first-person narrator becomes embroiled in the detection of horrific murder cases, with the action traversing a wide range of Michel Foucault’s exemplary Other spaces, including hospitals, graveyards, brothels, prisons, asylums, and colonies, with the series substituting the garden for Foucault’s ship as the paradigmatic heterotopia. These myriad juxtaposed sites, which

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Debusscher, Bos, and Frieke Van Coillie. "Object-Based Flood Analysis Using a Graph-Based Representation." Remote Sensing 11, no. 16 (2019): 1883. http://dx.doi.org/10.3390/rs11161883.

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The amount of freely available satellite data is growing rapidly as a result of Earth observation programmes, such as Copernicus, an initiative of the European Space Agency. Analysing these huge amounts of geospatial data and extracting useful information is an ongoing pursuit. This paper presents an alternative method for flood detection based on the description of spatio-temporal dynamics in satellite image time series (SITS). Since synthetic aperture radar (SAR) satellite data has the capability of capturing images day and night, irrespective of weather conditions, it is the preferred tool

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Raspini, F., C. Loupasakis, D. Rozos, and S. Moretti. "Basin and local scale detection of ground subsidence through persistent scatterer interferometry: The Anthemountas Basin (Northern Greece) case study." Bulletin of the Geological Society of Greece 47, no. 3 (2016): 1510. http://dx.doi.org/10.12681/bgsg.10989.

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In the framework of the Terrafirma Extension project, a study has been established for ground motion detection and mapping in the Anthemountas basin (Central Macedonia). Terrafirma promotes the exploitation of Persistent Scatterer Interferometry (PSI) techniques, a remote sensing technology based on multi-temporal satellite Synthetic Aperture Radar (SAR) imagery. The potential of SAR interferometry has been exploited through the innovative Wide Area Mapping approach, recently implemented by the German Space Agency (DLR) and aimed at measuring land deformation over large areas. Interferometric

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Park, Sung-Sik, Van-Than Tran, and Dong-Eun Lee. "Application of Various YOLO Models for Computer Vision-Based Real-Time Pothole Detection." Applied Sciences 11, no. 23 (2021): 11229. http://dx.doi.org/10.3390/app112311229.

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Pothole repair is one of the paramount tasks in road maintenance. Effective road surface monitoring is an ongoing challenge to the management agency. The current pothole detection, which is conducted image processing with a manual operation, is labour-intensive and time-consuming. Computer vision offers a mean to automate its visual inspection process using digital imaging, hence, identifying potholes from a series of images. The goal of this study is to apply different YOLO models for pothole detection. Three state-of-the-art object detection frameworks (i.e., YOLOv4, YOLOv4-tiny, and YOLOv5s

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Virani, Shama, Glauco Baiocchi, David Bowtell, et al. "Joint IARC/NCI International Cancer Seminar Series Report: expert consensus on future directions for ovarian carcinoma research." Carcinogenesis 42, no. 6 (2021): 785–93. http://dx.doi.org/10.1093/carcin/bgab043.

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Abstract Recently, ovarian cancer research has evolved considerably because of the emerging recognition that rather than a single disease, ovarian carcinomas comprise several different histotypes that vary by etiologic origin, risk factors, molecular profiles, therapeutic approaches and clinical outcome. Despite significant progress in our understanding of the etiologic heterogeneity of ovarian cancer, as well as important clinical advances, it remains the eighth most frequently diagnosed cancer in women worldwide and the most fatal gynecologic cancer. The International Agency for Research on

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Doblas, Juan, Mariane S. Reis, Amanda P. Belluzzo, et al. "DETER-R: An Operational Near-Real Time Tropical Forest Disturbance Warning System Based on Sentinel-1 Time Series Analysis." Remote Sensing 14, no. 15 (2022): 3658. http://dx.doi.org/10.3390/rs14153658.

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Continuous monitoring of forest disturbance on tropical forests is a fundamental tool to support proactive preservation actions and to stop further destruction of native vegetation. Currently most of the monitoring systems in operation are based on optical imagery, and thus are flaw-prone on areas with frequent cloud cover. As this, several Synthetic Aperture Radar (SAR)-based systems have been developed recently, aiming all-weather disturbance detection. This article presents the main aspects and the results of the first year of operation of the SAR based Near Real-Time Deforestation Detectio

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Interdonato, Roberto, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, and Giuseppe Scarpa. "Extracting multilayer networks from Sentinel-2 satellite image time series." Network Science 8, S1 (2020): S26—S42. http://dx.doi.org/10.1017/nws.2019.58.

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AbstractNowadays, modern Earth Observation systems continuously generate huge amounts of data. A notable example is the Sentinel-2 Earth Observation mission, developed by the European Space Agency as part of the Copernicus Programme, which supplies images from the whole planet at high spatial resolution (up to 10 m) with unprecedented revisit time (every 5 days at the equator). In this data-rich scenario, the remote sensing community is showing a growing interest toward modern supervised machine learning techniques (e.g., deep learning) to perform information extraction, often underestimating

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Lovell, Robin J. "Identifying Alternative Wetting and Drying Adoption (AWD) in the Vietnamese Mekong River Delta: A Change Detection Approach." ISPRS International Journal of Geo-Information 8, no. 7 (2019): 312. http://dx.doi.org/10.3390/ijgi8070312.

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Alternative wetting and drying (AWD) is an increasingly popular water-saving practice in rice production in the Vietnamese Mekong River Delta, especially considering the impact of projected climate change and reduced water availability. Unfortunately, it is very difficult to determine adoption without deploying thousands of costly household surveys. This research used European Space Agency Sentinel-1a and 1b radar data, combined with in-situ moisture readings, to determine AWD adoption through change detection of a time series wetness index (WI). By using a beta coefficient of the radar data,

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Eissa, Mostafa Essam. "Adulterated Pharmaceutical Product Detection Using Statistical Process Control." Bangladesh Pharmaceutical Journal 21, no. 1 (2018): 7–15. http://dx.doi.org/10.3329/bpj.v21i1.37900.

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Drugs manufactured in pharmaceutical companies - that do not comply to current Good Manufacturing Practice (cGMP) - are considered by Food and Drug Administration (FDA) as "adulterated medicines", even if they did not impose any health or quality risk to the final consumers. Non compliance to cGMP has adverse effects on both customers and companies with think again escalating legal penalties may be issued. In the current study, newly established pharmaceutical plant launched film coated tablet for treatment of common cold symptoms. The local regulatory agency in collaboration with quality team

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Berwal, P., C. S. Murthy, P. V. Raju, and M. V. R. Sesha Sai. "GEOSPATIAL ANALYSIS OF NEAR-SURFACE SOIL MOISTURE TIME SERIES DATA OVER INDIAN REGION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 631–37. http://dx.doi.org/10.5194/isprs-archives-xli-b7-631-2016.

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The present study has developed the time series database surface soil moisture over India, for June, July and August months for the period of 20 years from 1991 to 2010, using data products generated under Climate Change Initiative Programme of European Space Agency. These three months represent the crop sowing period in the prime cropping season in the country and the soil moisture data during this period is highly useful to detect the drought conditions and assess the drought impact. The time series soil moisture data which is in 0.25 degree spatial resolution was analyzed to generate differ

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Berwal, P., C. S. Murthy, P. V. Raju, and M. V. R. Sesha Sai. "GEOSPATIAL ANALYSIS OF NEAR-SURFACE SOIL MOISTURE TIME SERIES DATA OVER INDIAN REGION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 21, 2016): 631–37. http://dx.doi.org/10.5194/isprsarchives-xli-b7-631-2016.

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The present study has developed the time series database surface soil moisture over India, for June, July and August months for the period of 20 years from 1991 to 2010, using data products generated under Climate Change Initiative Programme of European Space Agency. These three months represent the crop sowing period in the prime cropping season in the country and the soil moisture data during this period is highly useful to detect the drought conditions and assess the drought impact. The time series soil moisture data which is in 0.25 degree spatial resolution was analyzed to generate differ

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Nawatmi, Sri Nawatmi, Agung Nusantara, Ali Maskur, and Mulyo Budi Setiawan. "The Influence of Oil Prices, Gold Prices, and Inflation on the Indonesian Sharia Stock Index 2021-2025." International Journal of Multidisciplinary Sciences and Arts 4, no. 3 (2025): 27–34. https://doi.org/10.47709/ijmdsa.v4i3.6439.

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As is known, the stock price index always fluctuates. Fluctuations are sometimes high, sometimes low, and sometimes it is difficult to predict the rise and fall of the stock index. Therefore, the purpose of this study is to determine how the variables of world oil prices, world gold prices and inflation affect the Indonesian sharia stock index (ISSI). The type of data is secondary data. The data taken is time-series data, the time period January 2021 - February 2025. The dependent variable is ISSI, while the independent variables are world oil prices, world gold prices and inflation. Data sour

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Purkhauser, A. F., J. A. Koch, and R. Pail. "Applicability of NGGM near-real time simulations in flood detection." Journal of Geodetic Science 9, no. 1 (2019): 111–26. http://dx.doi.org/10.1515/jogs-2019-0011.

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Abstract The GRACE mission has demonstrated a tremendous potential for observing mass changes in the Earth system from space for climate research and the observation of climate change. Future mission should on the one hand extend the already existing time series and also provide higher spatial and temporal resolution that is required to fulfil all needs placed on a future mission. To analyse the applicability of such a Next Generation Gravity Mission (NGGM) concept regarding hydrological applications, two GRACE-FO-type pairs in Bender formation are analysed. The numerical closed loop simulatio

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Crevoisier, C., C. Clerbaux, V. Guidard, et al. "Towards IASI-New Generation (IASI-NG): impact of improved spectral resolution and radiometric noise on the retrieval of thermodynamic, chemistry and climate variables." Atmospheric Measurement Techniques Discussions 6, no. 6 (2013): 11215–77. http://dx.doi.org/10.5194/amtd-6-11215-2013.

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Abstract. Besides their strong contribution to weather forecast improvement through data assimilation, thermal infrared sounders onboard polar-orbiting platforms are now playing a key role for monitoring atmospheric composition changes. The Infrared Atmospheric Sounding Interferometer (IASI) instrument developed by the French space agency (CNES) and launched by Eumetsat onboard the Metop satellite series is providing essential inputs for weather forecasting and pollution/climate monitoring owing to its smart combination of large horizontal swath, good spectral resolution and high radiometric p

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Nguyen, Dinh Dung, Jozsef Rohacs, and Daniel Rohacs. "Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management." ISPRS International Journal of Geo-Information 10, no. 5 (2021): 338. http://dx.doi.org/10.3390/ijgi10050338.

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With the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that requires radically new, sustainable (safe, secure, with minimum environmental impact and life cycle cost) solutions. The primary objective of this proposed option is the definition of routes as desired and commanded trajectories and their autonomous execution. The airspace structure and fixed routes are given in the global GPS reference system with supporting GIS mapping. The con

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Addou, Rachid, Khalid Obda, Nir Y. Krakauer, et al. "Statistical Analysis for the Detection of Change Points and the Evaluation of Monthly Mean Temperature Trends of the Moulouya Basin (Morocco)." Advances in Meteorology 2024 (April 10, 2024): 1–16. http://dx.doi.org/10.1155/2024/5027669.

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This study examines the spatiotemporal variability of mean monthly temperature in the Moulouya watershed of northeastern Morocco, highlighting associated trends. To this end, statistical methods widely recommended by climate researchers were adopted. We used monthly mean temperature data for the period 1980–2020 from 9 measuring stations belonging to the Moulouya Watershed Agency (ABHM). These stations were rigorously selected, taking into account their reliability, the length of their records, and their geographical position in the basin. In addition, a quality test and homogenization of the

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Dellarco, Vicki L., Kathleen H. Mavournin, and Michael D. Waters. "An introduction to a series of U.S. environmental protection agency special committee reports on testing approaches for the detection of chemically induced aneuploidy." Mutation Research/Reviews in Genetic Toxicology 167, no. 1-2 (1986): 3–7. http://dx.doi.org/10.1016/0165-1110(86)90005-9.

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Crevoisier, C., C. Clerbaux, V. Guidard, et al. "Towards IASI-New Generation (IASI-NG): impact of improved spectral resolution and radiometric noise on the retrieval of thermodynamic, chemistry and climate variables." Atmospheric Measurement Techniques 7, no. 12 (2014): 4367–85. http://dx.doi.org/10.5194/amt-7-4367-2014.

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Abstract. Besides their strong contribution to weather forecast improvement through data assimilation, thermal infrared sounders onboard polar-orbiting platforms are now playing a key role for monitoring atmospheric composition changes. The Infrared Atmospheric Sounding Interferometer (IASI) instrument developed by the French space agency (CNES) and launched by EUMETSAT onboard the Metop satellite series is providing essential inputs for weather forecasting and pollution/climate monitoring owing to its smart combination of large horizontal swath, good spectral resolution and high radiometric p

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Jiang, Panpan, Xiaohua Yang, Yaping Wan, et al. "Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model." Science and Technology of Nuclear Installations 2023 (December 18, 2023): 1–10. http://dx.doi.org/10.1155/2023/6363270.

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The rapid expansion of nuclear technology across various sectors due to global economic growth has led to a substantial rise in the transportation of radioactive materials. The International Atomic Energy Agency (IAEA) estimates that approximately 20 million shipments of radioactive materials occur annually. In this context, ensuring the safety and security of radioactive material transportation is of significant importance. IAEA’s “Security of Radioactive Materials in Transport” (Nuclear Security Series No. 9-G) mandates that an effective transport security system should provide immediate det

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Trinh, Le Hung, and Van Phu Le. "Application of Sentinel 1 imagery data to detect and classify oil spills on the ocean." Petrovietnam Journal 2 (March 21, 2022): 32–38. http://dx.doi.org/10.47800/pvj.2022.02-05.

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Sentinel is the name of a series of Earth observation missions (from Sentinel 1 to Sentinel 6) developed by the Copernicus initiative and operated by the European Space Agency (ESA). Sentinel satellite image data, which includes optical and radar images, provided completely free of charge, has been widely and effectively used in Earth research. The paper presents a technical solution using Sentinel 1 satellite image in detecting and monitoring oil spill pollution at sea, testing for Mauritius sea area. The Otsu automatic thresholding method was applied to extract oil spills at sea from Sentine

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Wang, Huiqin, Mengjia Liu, Yumiao Zhang, et al. "Rapid Detection of Aspergillus flavus and Quantitative Determination of Aflatoxin B1 in Grain Crops Using a Portable Raman Spectrometer Combined with Colloidal Au Nanoparticles." Molecules 27, no. 16 (2022): 5280. http://dx.doi.org/10.3390/molecules27165280.

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Aspergillus flavus and Aflatoxins in grain crops give rise to a serious threat to food security and cause huge economic losses. In particular, aflatoxin B1 has been identified as a Class I carcinogen to humans by the International Agency for Research on Cancer (IARC). Compared with conventional methods, Surface-Enhanced Raman Scattering (SERS) has paved the way for the detection of Aspergillus flavus and Aflatoxins in grain crops as it is a rapid, nondestructive, and sensitive analytical method. In this work, the rapid detection of Aspergillus flavus and quantification of Aflatoxin B1 in grain

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Khaykin, Sergey M., Alain Hauchecorne, Robin Wing, et al. "Doppler lidar at Observatoire de Haute-Provence for wind profiling up to 75 km altitude: performance evaluation and observations." Atmospheric Measurement Techniques 13, no. 3 (2020): 1501–16. http://dx.doi.org/10.5194/amt-13-1501-2020.

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Abstract. A direct-detection Rayleigh–Mie Doppler lidar for measuring horizontal wind speed in the middle atmosphere (10 to 50 km altitude) has been deployed at Observatoire de Haute-Provence (OHP) in southern France starting from 1993. After a recent upgrade, the instrument gained the capacity of wind profiling between 5 and 75 km altitude with vertical resolution up to 115 m and temporal resolution up to 5 min. The lidar comprises a monomode Nd:Yag laser emitting at 532 nm, three telescope assemblies and a double-edge Fabry–Pérot interferometer for detection of the Doppler shift in the backs

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Thiel, Cora S., Vladimir Pletser, and Bernard Foing. "Human crew-related aspects for astrobiology research." International Journal of Astrobiology 10, no. 3 (2011): 255–67. http://dx.doi.org/10.1017/s1473550411000152.

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AbstractSeveral space agencies and exploration stakeholders have a strong interest in obtaining information on technical and human aspects to prepare for future extra-terrestrial planetary exploration. In this context, the EuroGeoMars campaign, organized with support from the International Lunar Exploration Working Group (ILEWG), the European Space Agency (ESA), the National Aeronautics and Space Administration (NASA) Ames Research Center and partner institutes, was conducted by the crews 76 and 77 in February 2009 in The Mars Society's ‘Mars Desert Research Station’ (MDRS) in Utah.The EuroGeo

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Vinayakumar, R., K. P. Soman, and Prabaharan Poornachandran. "Evaluation of Recurrent Neural Network and its Variants for Intrusion Detection System (IDS)." International Journal of Information System Modeling and Design 8, no. 3 (2017): 43–63. http://dx.doi.org/10.4018/ijismd.2017070103.

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This article describes how sequential data modeling is a relevant task in Cybersecurity. Sequences are attributed temporal characteristics either explicitly or implicitly. Recurrent neural networks (RNNs) are a subset of artificial neural networks (ANNs) which have appeared as a powerful, principle approach to learn dynamic temporal behaviors in an arbitrary length of large-scale sequence data. Furthermore, stacked recurrent neural networks (S-RNNs) have the potential to learn complex temporal behaviors quickly, including sparse representations. To leverage this, the authors model network traf

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Kurekin, Andrey A., Peter I. Miller, Arlene L. Avillanosa, and Joel D. C. Sumeldan. "Monitoring of Coastal Aquaculture Sites in the Philippines through Automated Time Series Analysis of Sentinel-1 SAR Images." Remote Sensing 14, no. 12 (2022): 2862. http://dx.doi.org/10.3390/rs14122862.

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With the unprecedented expansion of aquaculture around the world, there is a critical need to monitor its progress. In Palawan, Philippines, coastal aquaculture is gaining momentum towards increasing fish production, a pressure that presents a challenge to the sustainability of these areas. In this paper, we explore the application of Earth observation methods to map coastal aquaculture development in Palawan and evaluate the extent of its change. The European Space Agency Sentinel-1 synthetic aperture radar and Sentinel-2 multispectral instrument sensor data were applied in fully automatic mo

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Garba, Haruna, and Udeme Udeme Udokpoh. "Analysis of Trend in Meteorological and Hydrological Time-series using Mann-Kendall and Sen’s Slope Estimator Statistical Test in Akwa Ibom State, Nigeria." International Journal of Environment and Climate Change 13, no. 10 (2023): 1017–35. http://dx.doi.org/10.9734/ijecc/2023/v13i102748.

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The monthly, seasonal, annual, and decadal trends of seven hydro-meteorological variables were analysed for stations in Akwa Ibom State, Nigeria, controlled by the Nigerian Meteorological Agency (NiMet) and the Cross River Basin Development Authority (CRBDA) from 1972 to 2021. At the 5% statistical significance level, the non-parametric Mann-Kendall and Sen's slope estimator techniques were used to detect if there was a positive or negative trend and the magnitude of the trend in hydro-meteorological data. In the present study, there was a significant statistically increasing (positive) trend

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Da Silva, Djane Fonseca, and Aline Bezerra De Sousa. "Detecção de Tendências Climáticas no Estado de Alagoas (Tend detection of climatic in Alagoas State)." Revista Brasileira de Geografia Física 6, no. 3 (2013): 442–55. http://dx.doi.org/10.26848/rbgf.v6.3.p442-455.

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Nesse estudo foram utilizados dados de precipitação, temperatura máxima e mínima obtidos através da Agência Nacional das águas (ANA) para o período de 1961-2010 e através do INMET. Todas as séries foram submetidas ao teste de Mann-Kendall para identificar tendências e depois os valores das tendências serão submetidas ao teste de T-Student para verificar se os valores de tendência encontrados são significativos estatisticamente ou não. O norte do estado de Alagoas apresentou tendência de diminuir as precipitações e aumentar as temperaturas máximas. Com essas conclusões, políticas públicas devem

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d’Entremont, Robert P., Richard Lynch, Gennadi Uymin, et al. "Application of Optimal Spectral Sampling for a Real-Time Global Cloud Analysis Model." Weather and Forecasting 31, no. 3 (2016): 743–61. http://dx.doi.org/10.1175/waf-d-15-0077.1.

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Abstract The Cloud Depiction and Forecast System version 2 (CDFS II) is the operational global cloud analysis and forecasting model of the 557th Weather Wing, formerly the U.S. Air Force Weather Agency. The CDFS II cloud-detection algorithms are threshold-based tests that compare satellite-observed multispectral reflectance and brightness temperature signatures with those expected for the clear atmosphere. User-prescribed quantitative differences between sensor observations and the expected clear-scene radiances denote cloudy pixels. These radiances historically have been modeled at 24-km reso

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Graziosi, Alessandro, Marika Perrotta, Daniele Russo, et al. "Oxidative Stress Markers and the Retinopathy of Prematurity." Journal of Clinical Medicine 9, no. 9 (2020): 2711. http://dx.doi.org/10.3390/jcm9092711.

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Retinopathy of prematurity (ROP) is a leading cause of potentially preventable blindness in low birth weight preterm infants. Several perinatal and postnatal factors contribute to the incomplete maturation of retinal vascularization, leading to oxidative stress damage. Literature data suggest that the lack of equilibrium between pro-oxidants and anti-oxidants plays a key role. In the last decade, there has been an increasing interest in identifying the antecedents of ROP and the relevant pathogenic mechanisms involved. In this context, a panel of biomarkers was investigated in order to achieve

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Molinari, M. E., A. Monti-Guarnieri, and M. Manzoni. "A NOVEL INDEX FOR TEMPORAL STABILITY ANALYSIS IN SPACE AND TIME OF SAR-DERIVED SCENES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1577–83. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1577-2020.

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Abstract. Detecting temporal changes is one of the most important applications of satellite sensors. In recent years, the increasing availability of regular time-series of SAR imagery, provided by the Sentinel-1 mission of the European Space Agency (ESA), has drawn increasing attention to these techniques, especially in earth environment monitoring and risk management. Within this paper, a coherent change detection analysis for evaluating the risk due to movements of dunes and sand sheets in desertic areas is proposed. To this purpose, we introduce a novel, coherence-based index, named Tempora

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Sobolev, N. A., E. A. Belonovskaya, K. N. Kobyakov, A. N. Krenke, and S. V. Titova. "The Great Eurasian Natural Tract as an Object of World Importance." Herald of the Russian Academy of Sciences 92, no. 3 (2022): 313–22. http://dx.doi.org/10.1134/s1019331622030157.

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Abstract The tasks of establishing an ecological network are presented, outlining some outcome of the long-term study of the Great Eurasian Natural Tract (Backbone), which is a continuous series of natural ecological systems from the Pacific Ocean to Fennoscandia. The story of the tract’s detection is briefly told as a modern geographical discovery. Its delineation is based on the map of Russia’s biomes resulting from remote-sensing analysis with field verification and other open data. Information about changing the area of natural ecosystems and variations of phytomass stock in various biomes

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Muske, K. R., J. C. Peyton Jones, J. S. Kirschman, et al. "Probability density diagnostic metric for an integrated three-way catalyst controller and monitor." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 222, no. 11 (2008): 2185–94. http://dx.doi.org/10.1243/09544070jauto744.

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An integrated model-based methodology for three-way automotive catalyst control and diagnostic monitoring is presented in this work. The catalyst controller and monitor both utilize a limited integrator catalyst oxygen storage model with an adaptive integral gain. This adaptive catalyst gain, which is a measure of the catalyst oxygen storage capacity, is used by the controller to provide information on the dynamic catalyst behaviour and by the diagnostic monitor to provide information on long-term catalyst deactivation and short-term emission control device failure. A statistical classificatio

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Hajimohammadali, Fatemeh, Emanuele Crisostomi, Mauro Tucci, and Nunzia Fontana. "Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants." Energies 17, no. 22 (2024): 5670. http://dx.doi.org/10.3390/en17225670.

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One of the main goals of the International Energy Agency (IEA) is to manage and utilize clean energy to achieve net zero emissions by 2050. Hydropower plants can significantly contribute to this goal as they are vital components of the global energy infrastructure, providing a clean, safe, and sustainable power source. Accordingly, there is great interest in developing methods to prevent errors and anomalies and ensure full operational availability. With modern hydropower plants equipped with sensors that capture extensive data, machine learning algorithms utilizing these data to detect and pr

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Snowden, Helen, and Sarah Marriott. "Developing a local shared care protocol for managing people with psychotic illness in primary care." Psychiatric Bulletin 27, no. 07 (2003): 261–66. http://dx.doi.org/10.1017/s0955603600002555.

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Aims and Method The National Service Framework sets standards to improve the treatment of mental health on a national level, and requires the development of localised shared care protocols. We aimed to develop a shared care protocol for use in local National Health Service (NHS) services, based on best practice guidelines and local consensus. A systematic literature search used three databases and the advice of a clinical expert. Articles satisfying the search inclusion criteria were retrieved and appraised. Clinical recommendations from well-designed regional and national documents relevant t

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Snowden, Helen, and Sarah Marriott. "Developing a local shared care protocol for managing people with psychotic illness in primary care." Psychiatric Bulletin 27, no. 7 (2003): 261–66. http://dx.doi.org/10.1192/pb.27.7.261.

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Aims and MethodThe National Service Framework sets standards to improve the treatment of mental health on a national level, and requires the development of localised shared care protocols. We aimed to develop a shared care protocol for use in local National Health Service (NHS) services, based on best practice guidelines and local consensus. A systematic literature search used three databases and the advice of a clinical expert. Articles satisfying the search inclusion criteria were retrieved and appraised. Clinical recommendations from well-designed regional and national documents relevant to

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Silva, Rogério De Souza, Rivanildo Dallacort, Ismael Cavalcante Maciel Junior, et al. "Rainfall and Extreme Drought Detection: An Analysis for a Potential Agricultural Region in the Southern Brazilian Amazon." Sustainability 16, no. 14 (2024): 5959. http://dx.doi.org/10.3390/su16145959.

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In recent decades, the main commercial crops of Mato Grosso, such as soybeans, corn, and cotton, have been undergoing transformations regarding the adoption of new technologies to increase production. However, regardless of the technological level, the climate of the region, including the rainfall regime, can influence the success of crops and facilitate, or not, the maximum production efficiency. This study aimed to define the behavior of the variability in monthly and annual rainfall and its probability of monthly occurrence and calculate the drought index for the northwestern region of Mato

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Tapete, Deodato, and Francesca Cigna. "COSMO-SkyMed SAR for Detection and Monitoring of Archaeological and Cultural Heritage Sites." Remote Sensing 11, no. 11 (2019): 1326. http://dx.doi.org/10.3390/rs11111326.

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Synthetic aperture radar (SAR) imagery has long been used in archaeology since the earliest space radar missions in the 1980s. In the current scenario of SAR missions, the Italian Space Agency (ASI)’s COnstellation of small Satellites for Mediterranean basin Observation (COSMO-SkyMed) has peculiar properties that make this mission of potential use by archaeologists and heritage practitioners: high to very high spatial resolution, site revisit of up to one day, and conspicuous image archives over cultural heritage sites across the globe. While recent literature and the number of research projec

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Ekwueme, Chimeme, Ify Nwaogazie, Chiedozie Ikebude, Godwin Amuchi, Jonathan Irokwe, and Diaa Hourani. "Comparative Analysis of Climate Change Trend and Change-point for Daily Rainfall Annual Maximum Time Series Data in Four Gauging Stations in South-East Nigeria." Hydrology 13, no. 1 (2025): 73–82. https://doi.org/10.11648/j.hyd.20251301.18.

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The aim of the study was to conduct a comparative analysis of climate change trends and change-point detection in long-term daily rainfall annual maximum series (AMS) data across four gauging stations in South-Eastern Nigeria: Abakaliki, Enugu, Owerri and Umuahia. Utilizing 31-year rainfall records (1992–2022) from the Nigerian Meteorological Agency (NIMET), the research employed the Indian Meteorological Department (IMD) method to downscale daily rainfall to sub-daily durations. Trend analysis utilizing Mann-Kendall test and Sen’s slope estimator revealed statistically significant increasing

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Moser, Virginia Clayton. "Applications of a Neurobehavioral Screening Battery." Journal of the American College of Toxicology 10, no. 6 (1991): 661–69. http://dx.doi.org/10.3109/10915819109078658.

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With the growing awareness of the neurological effects of many environmental chemicals, there is considerable emphasis being placed on the detection of neurotoxic potential at the screening, or first-tier, level of testing. We have developed a neurobehavioral screening battery consisting of a functional observational battery (FOB) and an automated measure of motor activity which can be incorporated into neuropathological studies as well as general toxicity assessments of new and existing chemicals in rats. This approach has been recommended by several expert national and international panels,

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Putra, Berlian Juliartha Martin, Afrida Helen, and Ali Ridho Barakbah. "Rule-based Sentiment Degree Measurement of Opinion Mining of Community Participatory in the Government of Surabaya." EMITTER International Journal of Engineering Technology 6, no. 2 (2018): 200–216. http://dx.doi.org/10.24003/emitter.v6i2.275.

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Diskominfo Surabaya, as a government agency, received much community participatory for improvement of governmental services, with increasing number of 698, 2717, 4176 and 4298 participatory data respectively in 2011, 2012, 2013 and 2014. It is challenging for Diskominfo Surabaya to set a target by giving the response back within 24 hours. Due to task complexity to address the degree of participatory and to categorize the group of participatory, they faced difficulty to fulfill the target. In this research, we present a new system for measuring the sentiment degree of community participatory. W

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Anumudu, Christian Kosisochukwu, Chiemerie T. Ekwueme, Chijioke Christopher Uhegwu, et al. "A Review of the Mycotoxin Family of Fumonisins, Their Biosynthesis, Metabolism, Methods of Detection and Effects on Humans and Animals." International Journal of Molecular Sciences 26, no. 1 (2024): 184. https://doi.org/10.3390/ijms26010184.

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Fumonisins, a class of mycotoxins predominantly produced by Fusarium species, represent a major threat to food safety and public health due to their widespread occurrence in staple crops including peanuts, wine, rice, sorghum, and mainly in maize and maize-based food and feed products. Although fumonisins occur in different groups, the fumonisin B series, particularly fumonisin B1 (FB1) and fumonisin B2 (FB2), are the most prevalent and toxic in this group of mycotoxins and are of public health significance due to the many debilitating human and animal diseases and mycotoxicosis they cause and

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Foody, Rebecca, Jacob Coburn, Jeanie A. Aird, Rebecca J. Barthelmie, and Sara C. Pryor. "Quantitative comparison of power production and power quality onshore and offshore: a case study from the eastern United States." Wind Energy Science 9, no. 1 (2024): 263–80. http://dx.doi.org/10.5194/wes-9-263-2024.

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Abstract. A major issue in quantifying potential power generation from prospective wind energy sites is the lack of observations from heights relevant to modern wind turbines, particularly for offshore where blade tip heights are projected to increase beyond 250 m. We present analyses of uniquely detailed data sets from lidar (light detection and ranging) deployments in New York State and on two buoys in the adjacent New York Bight to examine the relative power generation potential and power quality at these on- and offshore locations. Time series of 10 min wind power production are computed f

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