Relevant bibliographies by topics / Region of interest

Academic literature on the topic 'Region of interest'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Region of interest"

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Huang, Mingming, Zhichun Mu, and Hui Zeng. "Local interest region description using multiple support regions." Journal of Optics 44, no. 3 (April 24, 2015): 290–97. http://dx.doi.org/10.1007/s12596-015-0257-6.

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Rudin, Stephen, and Daniel R. Bednarek. "Region of interest fluoroscopy." Medical Physics 19, no. 5 (September 1992): 1183–89. http://dx.doi.org/10.1118/1.596792.

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Lin, Huibao. "Hierarchical region-of-interest detection." Optical Engineering 45, no. 7 (July 1, 2006): 077201. http://dx.doi.org/10.1117/1.2219104.

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Nister, David, and Charilaos Christopoulos. "Lossless region of interest coding." Signal Processing 78, no. 1 (October 1999): 1–17. http://dx.doi.org/10.1016/s0165-1684(99)00044-4.

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Poldrack, Russell A. "Region of interest analysis for fMRI." Social Cognitive and Affective Neuroscience 2, no. 1 (March 2007): 67–70. http://dx.doi.org/10.1093/scan/nsm006.

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Liu, Jun Qing, Lei Ma, Yan Xiang, San Li Yi, Hong Lei Chen, Qian Zhang, and Jian Feng He. "Image Evaluation Based on Region of Interest." Applied Mechanics and Materials 339 (July 2013): 253–58. http://dx.doi.org/10.4028/www.scientific.net/amm.339.253.

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Image quality assessment has broad applications in many fields, how to assess the quality of the image is an attractive research topic. In this paper, a ROIMDE method is proposed based on region of interest (ROI) and dual-scale edge structure similarity (SSIM), the quality assessment of the image is a weighted combination of ROI and non-ROI, the dual-scale edge structure similarity is used in ROI, and the classical structure similarity is applied in non-ROI. Experimental results show that, considering the influence of ROI, our model is more consistent with human subjective visual evaluation.
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Li, Dejun, Guiyang Zhou, Kang Cheng, Cheng Wang, Yifan Wang, and Guanglong Li. "Spinneret Image Region of Interest Segmentation Algorithm." Journal of Physics: Conference Series 2068, no. 1 (October 1, 2021): 012023. http://dx.doi.org/10.1088/1742-6596/2068/1/012023.

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Abstract In order to improve the accuracy of spinneret defect detection, a spinneret image region of interest segmentation algorithm is proposed for the problem that the complex background of spinneret image interferes seriously with the subsequent detection. The mask image is obtained by separating the fixed plate area and the spinneret wall area using the diffuse water filling method, and the minimum external circle and the maximum internal circle in the mask image are found using contour detection to obtain the mask image of the spinneret area, and then the spinneret area, i.e. the Region of Interest (ROI), is extracted. The experimental results show that this method can effectively separate the spinneret region and reduce the background interference.
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Popko, Maciej, and Władysław Żakowski. "The region of interest — an historical survey." Miscellanea Geographica 8, no. 1 (March 1, 1998): 219–24. http://dx.doi.org/10.2478/mgrsd-1998-080127.

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Sanchez, V., A. Basu, and M. K. Mandal. "Prioritized Region of Interest Coding in JPEG2000." IEEE Transactions on Circuits and Systems for Video Technology 14, no. 9 (September 2004): 1149–55. http://dx.doi.org/10.1109/tcsvt.2004.833168.

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Jerbi, A., Jian Wang, and S. Shirani. "Error-resilient region-of-interest video coding." IEEE Transactions on Circuits and Systems for Video Technology 15, no. 9 (September 2005): 1175–81. http://dx.doi.org/10.1109/tcsvt.2005.852619.

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Dissertations / Theses on the topic "Region of interest"

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Budihal, Prasad Adhokshaja Achar. "Region of Interest Based Compression of Grayscale Images." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5842.

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Image compression based on Region of Interest (ROI) has been one of the hot topics of interest in image processing. There is not a single widely accepted method for detecting the ROI automatically form an image. To reduce the transmission bandwidth and storage space requirements of gray scale images, an algorithm is suggested for detecting the ROI automatically based on Tsallis entropy method. Tsallis entropy method is used to segment the image into two segments, the ROI and the background. These two segments can then be compressed at different rates, to avoid losing information in the ROI while achieving a good compression. Different approaches of compression based on wavelets and use of various compression methods are also discussed.
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Gopalan, Ramya. "Exploiting Region Of Interest For Improved Video Coding." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250622014.

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Sinharoy, Indranil. "Region-of-interest estimation for multi-aperture imaging systems." Ann Arbor, Mich. : ProQuest, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1440435.

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Thesis (M.S. in Electrical Engineering)--S.M.U., 2007.
Title from PDF title page (viewed Mar. 18, 2008). Source: Masters Abstracts International, Volume: 45-03, page: 1615. Adviser: Scott C. Douglas. Includes bibliographical references.
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Sassi, Salem Ahmed. "Region of interest imaging technique : a novel approach to increase image contrast within the region of interest and reduce patient dose in fluoroscopy." Thesis, St George's, University of London, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264975.

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Karlsson, Linda S. "Spatio-Temporal Pre-Processing Methods for Region-of-Interest Video Coding." Licentiate thesis, Mid Sweden University, Department of Information Technology and Media, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-51.

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In video transmission at low bit rates the challenge is to compress the video with a minimal reduction of the percieved quality. The compression can be adapted to knowledge of which regions in the video sequence are of most interest to the viewer. Region of interest (ROI) video coding uses this information to control the allocation of bits to the background and the ROI. The aim is to increase the quality in the ROI at the expense of the quality in the background. In order for this to occur the typical content of an ROI for a particular application is firstly determined and the actual detection is performed based on this information. The allocation of bits can then be controlled based on the result of the detection.

In this licenciate thesis existing methods to control bit allocation in ROI video coding are investigated. In particular pre-processing methods that are applied independently of the codec or standard. This makes it possible to apply the method directly to the video sequence without modifications to the codec. Three filters are proposed in this thesis based on previous approaches. The spatial filter that only modifies the background within a single frame and the temporal filter that uses information from the previous frame. These two filters are also combined into a spatio-temporal filter. The abilities of these filters to reduce the number of bits necessary to encode the background and to successfully re-allocate these to the ROI are investigated. In addition the computational compexities of the algorithms are analysed.

The theoretical analysis is verified by quantitative tests. These include measuring the quality using both the PSNR of the ROI and the border of the background, as well as subjective tests with human test subjects and an analysis of motion vector statistics.

The qualitative analysis shows that the spatio-temporal filter has a better coding efficiency than the other filters and it successfully re-allocates the bits from the foreground to the background. The spatio-temporal filter gives an improvement in average PSNR in the ROI of more than 1.32 dB or a reduction in bitrate of 31 % compared to the encoding of the original sequence. This result is similar to or slightly better than the spatial filter. However, the spatio-temporal filter has a better performance, since its computational complexity is lower than that of the spatial filter.

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Sundstedt, Karin Veronica. "Rendering and validation of high-fidelity graphics using region-of-interest." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440273.

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Rafiee, Gholamreza. "Automatic region-of-interest extraction in low depth-of-field images." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2194.

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Automatic extraction of focused regions from images with low depth-of-field (DOF) is a problem without an efficient solution yet. The capability of extracting focused regions can help to bridge the semantic gap by integrating image regions which are meaningfully relevant and generally do not exhibit uniform visual characteristics. There exist two main difficulties for extracting focused regions from low DOF images using high-frequency based techniques: computational complexity and performance. A novel unsupervised segmentation approach based on ensemble clustering is proposed to extract the focused regions from low DOF images in two stages. The first stage is to cluster image blocks in a joint contrast-energy feature space into three constituent groups. To achieve this, we make use of a normal mixture-based model along with standard expectation-maximization (EM) algorithm at two consecutive levels of block size. To avoid the common problem of local optima experienced in many models, an ensemble EM clustering algorithm is proposed. As a result, relevant blocks, i.e., block-based region-of-interest (ROI), closely conforming to image objects are extracted. In stage two, two different approaches have been developed to extract pixel-based ROI. In the first approach, a binary saliency map is constructed from the relevant blocks at the pixel level, which is based on difference of Gaussian (DOG) and binarization methods. Then, a set of morphological operations is employed to create the pixel-based ROI from the map. Experimental results demonstrate that the proposed approach achieves an average segmentation performance of 91.3% and is computationally 3 times faster than the best existing approach. In the second approach, a minimal graph cut is constructed by using the max-flow method and also by using object/background seeds provided by the ensemble clustering algorithm. Experimental results demonstrate an average segmentation performance of 91.7% and approximately 50% reduction of the average computational time by the proposed colour based approach compared with existing unsupervised approaches.
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Lee, Shuk-ping, and 李淑冰. "Social stability and public policy: the role of special interest groups in Macao." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B3642433X.

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Rao, Sira. "Elastic Algorithms for Region of Interest Video Compression, with Application to Mobile Telehealth." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19881.

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Video is the most demanding modality from the viewpoints of bandwidth, computational complexity, and resolution. Thus, there has been limited progress in the field of mobile video technology. In the research, the focus is on elastic wireless video technology, and its adaptation to diagnostic application requirements in real-time clinical assessment. It is important and timely to apply wireless video technology to real-time remote diagnosis of emergent medical events. This premise comes from initial successes in telehealth based on wired networks. The enablement of mobility (for the physician and/or the patient) by wireless communication will be a next major step, but this advance will depend on definitive and compelling demonstrations of reliability. Thus, an important goal of the research is to develop a complete methodology that will be embraced by physicians. Acute pediatric asthma has been identified as a domain where this new capability will be highly welcome. The research uses flexible and interactive algorithms for Region-of-Interest (ROI) processing. ROI processing is a useful approach to achieve the optimal balance in the quality-bandwidth tradeoff characteristic of visual communication services. The notion of ROI has been traditionally used mostly for foreground-background separation in scene rendering and manipulation, and only more recently for variably quality compression. Even when the latter goal is considered, quality criteria have been ad-hoc and at best useful for video conferencing, given that the medical domain has its own fidelity criteria. The research thus focuses on the design of an elastic ROI-based compression paradigm with medical diagnosis as a central criterion. The research describes the methodology to achieve elasticity through rate control algorithms at the encoder. An elastic non-parametric approach is proposed that uses a priori user-specified video quality information, quantifies this information, and incorporates this into the encoder in the form of region-quality mappings. This method is compared to a parametric bit allocation approach that is based on region-features and a set of tuning weights. A number of videos of actual patients were filmed and used as the video database for the developed algorithms. In testing the elastic non-parametric and parametric algorithms, both objective measures in the form of Peak Signal to Noise Ratio (PSNR), and subjective evaluations were used. Thus, in this work, the focus is on domain relevance of the algorithms developed, as opposed to network related issues such as packet losses. This is justified in that these may have broader value with other applications, and continuation of this work will include realistic network conditions. To summarize, the research shows the usefulness of ROI processing as a means of achieving a gain (in a bits per pixel sense) over uniform compression at the same bitrate. It also shows how quantifying a notion of functionally lossless video quality diagnostically lossless video quality in a video-based telehealth system, in a bits per pixel sense is useful from an applications and bitrate perspective. Finally, a combination of these two concepts is advantageous i.e. diagnostically lossless ROI video quality is achievable over bitrate limited channels.
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Liljekvist, Pontus Holmertz, and Andreas Zsigmond. "Real-Time Tessellation A Region of Interest Based Technique Suited for Game Applications." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2081.

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While the games industry grows, the need for visually appealing graphics increase. This drives the demand for new hardware and the development of new techniques forward. With the latest generation of 3D graphic APIs the new rendering pipeline technique tessellation was announced. With each generation of games getting more advanced, the demand for highly detailed models increase. This leads to a higher workload for the GPU. The purpose of this thesis is to research the fi eld of tessellation and develop a prototype to optimize the tessellation pipeline. The prototype is designed to help reduce the number of generated triangles by dividing the mesh into regions, each region with its own tessellation factor. The prototype implementation supports both manual and automatic generation of these regions. A new fi le format was developed to support the region data. The implementation was split into three parts; one Python based Maya plug-in used for preparing the model for exporting, one exporter for Maya that generated the output fi le, and one viewer application capable of rendering the resulting mesh. The geometry output of the proposed technique was evaluated by comparing it to uniformly tessellated reference mesh geometry. Measurements show that the proposed technique is capable of reducing the face count with minor or maintained correlation to the reference geometry.
Medans spelindustrin växer ökar behovet av visuellt tilltalande grafik. Detta driver utvecklingen av hårdvara och nya tekniker framåt. Med den senaste generationens 3D grafik API kom renderingssteget tesselering. Eftersom varje generation av spel blir mer avancerat ökar efterfrågan på detaljerade modeller. Detta leder till en högre arbetsbörda för GPUn. Syftet med denna avhandling är att undersöka tesselering och utveckla en prototyp för att optimera tesseleringspipelinen. Prototypen är utformad för att hjälpa till att minska antalet genererade trianglar genom att dela upp figuren i regioner, varje region med egen tesseleringsfaktor. Prototypen stödjer både manuell och automatisk generering av dessa regioner, ett nytt filformat utvecklades för att stödja dessa. Prototypen delades upp i tre delar, ett Python baserat Maya plug-in som används för att förbereda modellen för export, en Maya exportör som genererar filerna, och ett visningsprogram som kan rendera den färdiga figuren. Figuren från den föreslagna tekniken utvärderades genom att jämföra den med motsvarande figur med universal tesseleringsfaktor. Mätningar visar att den föreslagna tekniken klarar att reducera antalet trianglar med låg felmarginal.
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Books on the topic "Region of interest"

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Kavery, Benjamin. American strategic interest in Persian Gulf. Hyderabad: Cauvery Publications, 1990.

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Meier, Judith A. H. Advertisements and notices of interest: From Norristown, Pennsylvania, newspapers. Apollo, PA: Closson Press, 1987.

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Moynihan, K. T. Wildlife and sites of special wildlife interest in the western Waikato region. Wellington: New Zealand Wildlife Service, Dept. of Internal Affairs, 1986.

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Sato, Kiyotaka. Real interest rate linkages in the Asian-Pacific region: A time-varying parameter approach. Seoul, Korea: Korea Institute for International Economic Policy, 2004.

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Saba, Naureen. Directory of demographers and social scientists with interest in demography and economic development in the Asian region. Islamabad, Pakistan: National Institute of Population Studies, 1987.

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Wilson, William Bender. From the Hudson to the Ohio: A region of historic, romantic, and scenic interest and other sketches. [Philadelphia]: Kensington Press, 1987.

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Antonova, Irina, Lyudmila Kormishkina, Tat'yana Salimova, Sheve Gerhard, Hyuzig Stefan, Gyuzel' Gumerova, Aleksandra Butneva, et al. Circular economy: ensuring sustainable development and competitiveness of the region. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1869520.

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The monograph summarizes the accumulated domestic and foreign experience in the field of closed-cycle economics, outlines modern approaches to the formation of sustainable development of regions, makes proposals for improving regional management systems based on the introduction of innovative business models of this type, and also considers issues of standardization and regulatory support of the closed-cycle economy. It is intended for postgraduates, undergraduates, bachelors studying in the areas of training and specialties "Quality Management", "Standardization, metrology", "Innovation management" and "Technosphere safety". It may be of interest to managers, specialists and a wide range of people interested in improving the processes and results of their activities based on the principles of sustainable development.
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California. Legislature. Senate. Select Committee on State Procurement and Expenditure Practices. Public hearing before the Senate Select Committee on State Procurement and Expenditures [i.e. Expenditure] Practices: In the matter of possible conflict of interest on the part of state officers in the approval of the Keller Canyon Landfill and other disposal sites in the Bay area. Sacramento, CA (1100 J St., Room B-15, Sacramento 95814): Senate Publications, 1992.

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United States. Forest Service. Alaska Region. Timber supply and demand 2000: Alaska National Interest Lands Conservation Act Section 706(a) Report to Congress USDA Forest Service, Alaska Region : report number 20. Juneau, Alaska ]: U.S. Department of Agriculture, Forest Service, Alaska Region, 2004.

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Sieberer, Wido. Kitzbühel: Cityguide : map of the town, maps of the surroundings, places of interest, highlights & events, trips & hiking in the region, practical hints from A to Z. Innsbruck: Tyrolia, 2006.

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Book chapters on the topic "Region of interest"

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Modica, Marcello. "Research Interest." In RaumFragen: Stadt – Region – Landschaft, 3–18. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37681-9_1.

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AbstractThe occurrence of industrial brownfield sites in mountain regions is emerging as a key spatial development challenge. The European Alps offer a privileged case study area in this regards due to their high level of industrial maturity and the clear evidences of an ongoing structural change. The difference between urban and mountain brownfields seems to lie not much in the content of the sites, which is indeed functionally related to certain industries and processes, but more on the physical and non-physical relationships with the context. The misunderstanding of these specific conditions leads often to incomplete or even failed transformation attempts, as proved by few examples of the two recurring strategies implemented in the Alps: building recycling and land recycling. An alternative approach capable of highlighting and enhancing the infrastructural specificity of mountain brownfields, based on an holistic understanding of landscape, might help to overcome the existing planning and management shortcomings.
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Kim, Jaehwan, and Ilkwon Jeong. "Normalized Matting of Interest Region." In Advances in Visual Computing, 446–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41939-3_43.

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Verma, Manisha, and Shanmuganathan Raman. "Interest Region Based Motion Magnification." In Image Analysis and Processing - ICIAP 2017, 27–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68560-1_3.

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Treiber, Marco. "Interest Point Detection and Region Descriptors." In An Introduction to Object Recognition, 145–82. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-235-3_7.

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Cascón, J. Manuel, José María Escobar, and Rafael Montenegro. "Discretization of the Region of Interest." In Wind Field and Solar Radiation Characterization and Forecasting, 65–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76876-2_3.

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Elsayed, Ashraf, Frans Coenen, Marta García-Fiñana, and Vanessa Sluming. "Region of Interest Based Image Categorization." In Data Warehousing and Knowledge Discovery, 239–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15105-7_19.

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Cavallaro, Alexander, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, and Marisa Thoma. "Region of Interest Queries in CT Scans." In Advances in Spatial and Temporal Databases, 56–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22922-0_5.

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Keck, Ingo R., Jan Churan, Fabian J. Theis, Peter Gruber, Elmar W. Lang, and Carlos G. Puntonet. "Region of Interest Based Independent Component Analysis." In Neural Information Processing, 1048–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893028_117.

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Froeling, Martijn, Pim Pullens, and Alexander Leemans. "DTI Analysis Methods: Region of Interest Analysis." In Diffusion Tensor Imaging, 175–82. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3118-7_9.

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Huynh, Hiep Xuan, Cang Anh Phan, Loan Thanh Thi Truong, and Hai Thanh Nguyen. "Region of Interest Selection on Plant Disease." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 119–32. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93179-7_10.

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Conference papers on the topic "Region of interest"

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de Graaff, Victor, Rolf A. de By, Maurice van Keulen, and Jan Flokstra. "Point of interest to region of interest conversion." In SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2525314.2525442.

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Tippie, Abbie E., and James R. Fienup. "Region-of-Interest Sharpness Correction." In Frontiers in Optics. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/fio.2011.ftuf2.

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Barina, David, and Ondřej Klíma. "Region of interest in JPEG." In WSCG'2022 - 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2022. Západočeská univerzita, 2022. http://dx.doi.org/10.24132/csrn.3201.1.

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This paper describes three methods to encode a region of interest (ROI) of arbitrary shape in the JPEG standard. The ROI is part of the image encoded with higher quality than the rest of the image. Two of the described methods are based on thresholding of DCT coefficients. The last method is based on the early termination of the entropy coding phase. All methods are fully compatible with existing JPEG decoders. Using ROI, it is possible to reduce the bitrate to only a fraction of the original value. The results in this paper show that thresholding of original DCT coefficients provides superior performance in terms of the PSNR-B index.
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Schafer, Sebastian, Peter B. Noël, Alan M. Walczak, and Kenneth R. Hoffmann. "Toward region of interest computer tomography." In SPIE Medical Imaging, edited by Ehsan Samei and Jiang Hsieh. SPIE, 2009. http://dx.doi.org/10.1117/12.811542.

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Zhang, Zheng, Taoyue Wang, and Lijun Yin. "Region of Interest Based Graph Convolution." In MM '20: The 28th ACM International Conference on Multimedia. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3394171.3413674.

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Chityala, Ravishankar N., Kenneth R. Hoffmann, Daniel R. Bednarek, and Stephen Rudin. "Region of interest (ROI) computed tomography." In Medical Imaging 2004, edited by Martin J. Yaffe and Michael J. Flynn. SPIE, 2004. http://dx.doi.org/10.1117/12.534568.

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Hou, Jun, and Xiaomin Song. "Region of Interest Coding for JPEG2000." In 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmtma.2010.566.

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Wang, Aili, Pigang Liu, and Yushi Chen. "Multiwavelet-Based Region of Interest Image Coding." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5304317.

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Aziz, Hussein Muzahim, Markus Fiedler, Hakan Grahn, and Lars Lundberg. "Compressing video based on region of interest." In IEEE EUROCON 2013. IEEE, 2013. http://dx.doi.org/10.1109/eurocon.2013.6625197.

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Kim, Joonsoo, He Li, Jiaju Yue, and Edward J. Delp. "Tattoo image retrieval for region of interest." In 2016 IEEE Symposium on Technologies for Homeland Security (HST). IEEE, 2016. http://dx.doi.org/10.1109/ths.2016.7568954.

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Reports on the topic "Region of interest"

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Azevedo, S., P. Rizo, and P. Grangeat. Region-of-interest cone-beam computed tomography. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/125412.

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Forbes, Florence, Nathalie Peyrard, Chris Fraley, Dianne Georgian-Smith, David M. Goldhaber, and Adrian E. Raftery. Model-Based Region-of-Interest Selection in Dynamic Breast MRI. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada478329.

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3

Yılmaz, Bahri. The Regional Comprehensive Economic Partnership (RCEP): The World's Interest and Competition Concentrated in the Indo-Pacific Region. Sabanci University, December 2022. http://dx.doi.org/10.5900/su_fass_wp.2022.45047.

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4

Agarwal, Rahul. Whole genome resequencing: dissect 5alpha-androst-16-en-3-one region of interest on pigChr13. Cold Spring Harbor Laboratory, October 2016. http://dx.doi.org/10.1101/079665.

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5

Rivard, C. Characterization of shallow aquifers and assessment of potential impacts of oil and gas development activities on these aquifers in the Fox Creek area (AB) - October 2021 update. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329088.

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A multidisciplinary and multi-institutional project was initiated in the Fox Creek area (west-central Alberta) in April 2019 to study environmental impacts of hydrocarbon development activities. The initial objective was to specifically study potential impacts on shallow groundwater. However, different Sectors within NRCan later identified the Fox Creek area as a region of interest for developing regional cumulative effects evaluation methods in support of new impact assessment legislation. As a result, the scope is now much broader and the project includes studies of vegetation, forest, snow cover, wetlands, and contributes to a woodland caribou habitat study. The project involves many collaborators from the federal and provincial governments, as well as from the academic community. This project is supported by the GGP and EGP programs.
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KUZMINA, K. PENETRATION OF BRITAIN INTO THE MEDITERRANIAN: AIMS AND STRENGTHENING OF POSITIONS (18TH-19TH CENTURIES). Science and Innovation Center Publishing House, 2022. http://dx.doi.org/10.12731/2077-1770-2022-14-2-2-127-138.

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The article considers the progress and strengthening of British military and political cooperation in a priority region of the British international policy, namely, in the Mediterranean. The success of the active international policy manifested itself in a considerable growth of British influence in the Mediterranean lost after World War II which has not been fully restored till today. The present British government with Boris Johnson at the head, accentuating the global part of Britain, is trying to change the situation into its favour. In the latter context, a complete understanding of present moment’s peculiarities depends on the scientific interest posed by the historical aspect of the British presence in the Mediterranean and the degree of its influence on the present-day policy of Britain in the region.
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Ang, Andrew, and Geert Bekaert. Regime Switches in Interest Rates. Cambridge, MA: National Bureau of Economic Research, April 1998. http://dx.doi.org/10.3386/w6508.

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8

Vlad, Gheorghita. Geopolitical Interests in the Black Sea / Caspian Region. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada547374.

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9

Lustosa Rosario, Ana Carolina, Bar Ben Yaacov, Cecilia Franco Segura, Elena Arias Ortiz, Elena Heredero, Juanita Botero, Patrick Brothers, Thiago Payva, and Maria Spies. Education Technology in Latin America and the Caribbean. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003828.

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Education Technology has the potential to be a powerful engine for transformation in Latin America and the Caribbean, however the size of the challenge is formidable. The region faces the worst socio-economic crisis in more than a century, is one of the lowest performing education systems globally and has a chronic skills gap. New solutions, new approaches and new thinking is needed now more than ever. Stakeholders in the region see the potential for EdTech to support greater access to education, better experiences and outcomes for learners, and greater efficiency. Interest and investment in EdTech is increasing, with over 1500 EdTech startups across LAC and a six-fold increase in private capital investment in the last year alone. This report combines the strengths of the IDB group and HolonIQ, two organizations passionate about the future of Latin America and the Caribbean with a belief in the power of education to change futures. It is in the spirit of collaboration that this project set out to map EdTech in the LAC region, surface the innovations and impact that EdTech is making, as well as to identify the challenges faced and opportunities for greater impact. The key recommendations in this report are designed to provide policy-makers, education leaders, EdTech entrepreneurs, investors and other stakeholders with information and inspiration to support their initiatives that improve and accelerate education technology for the region, in order to have a materially positive impact on education outcomes in the region.
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González Jaramillo, María José, and Juan Hernández. Public Debt Sustainability and Fiscal Reaction Functions in Latin America and the Caribbean. Inter-American Development Bank, January 2023. http://dx.doi.org/10.18235/0004701.

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The governments response to the COVID-19 pandemic left Latin America and the Caribbean economies with increased levels of sovereign debt as a percentage of output, bringing up the question of debt sustainability in the region. The literature has identified two testable conditions on the fiscal reaction function for debt sustainability: i) a positive response of primary balances to debt (Bohn, 1995) and ii) the response of primary balances to debt should be higher than the growth adjusted interest rate (Ghosh et al., 2013). This paper revisits these conditions, both from the theoretical and empirical perspective. It introduces a new “implicit growth” measure which is the relevant one for the debt-to-GDP ratio dynamics. It also tests empirically both conditions for economies in the region. The results suggest that debt is likely sustainable in the region, although it cannot be assured at a 95 percent confidence level. A deep look at the causes of this results pointed towards fiscal fatigue, the fact that primary balances become less responsive to debt levels the higher the latter are. At post-pandemic debt levels sustainability is far from certain. The results here indicate decisive action is required to ensure debt will fall back to prudent levels.
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