Relevant bibliographies by topics / Registration

Academic literature on the topic 'Registration'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 June 2024

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Journal articles on the topic "Registration"

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Sijbom, Martijn, Karolina K. Braun, Frederike L. Büchner, Leti van Bodegom-Vos, Bart J. C. Hendriks, Mark G. J. de Boer, Mattijs E. Numans, and Merel M. C. Lambregts. "Cues to improve antibiotic-allergy registration: A mixed-method study." PLOS ONE 17, no. 4 (April 7, 2022): e0266473. http://dx.doi.org/10.1371/journal.pone.0266473.

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Background Approximately 2% of patients in primary care practice and up to 25% of hospital patients are registered as being allergic to an antibiotic. However, up to 90% of these registrations are incorrect, leading to unnecessary prescription of 2nd choice antibiotics with the attendant loss of efficacy, increased toxicity and antibiotic resistance. To improve registration, a better understanding is needed of how incorrect labels are attributed. Objective To investigate the quality of antibiotic allergy registration in primary care and identify determinants to improve registration of antibiotic allergies. Design Registration of antibiotic allergies in primary care practices were analysed for 1) completeness and 2) correctness. To identify determinants for improvement, semi-structured interviews with healthcare providers from four healthcare domains were conducted. Participants A total of 300 antibiotic allergy registrations were analysed for completeness and correctness. Thirty-four healthcare providers were interviewed. Main measures A registration was defined as complete when it included a description of all symptoms, time to onset of symptoms and the duration of symptoms. It was defined as correct when the conclusion was concordant with the Salden criteria. Determinants of correct antibiotic allergy registrations were divided into facilitators or obstructers. Key results Rates of completeness and correctness of registrations were 0% and 29.3%, respectively. The main perceived barriers for correct antibiotic allergy registration were insufficient knowledge, lack of priority, limitations of registration features in electronic medical records (EMR), fear of medical liability and patients interpreting side-effects as allergies. Conclusions The quality of antibiotic allergy registrations can be improved. Potential interventions include raising awareness of the consequences of incomplete and the importance of correct registrations, by continued education, and above all simplifying registration in an EMR by adequate ICT support.
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A. Yorke, Afua, Gary C. McDonald, David Solis, and Thomas Guerrero. "Quality Assurance of Image Registration Using Combinatorial Rigid Registration Optimization (CORRO)." Cancer Research and Cellular Therapeutics 5, no. 3 (July 26, 2021): 01–09. http://dx.doi.org/10.31579/2640-1053/076.

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Purpose: Expert selected landmark points on clinical image pairs to provide a basis for rigid registration validation. Using combinatorial rigid registration optimization (CORRO) provide a statistically characterized reference data set for image registration of the pelvis by estimating optimal registration. Materials ad Methods: Landmarks for each CT/CBCT image pair for 58 cases were identified. From the landmark pairs, combination subsets of k-number of landmark pairs were generated without repeat, forming k-set for k=4, 8, and 12. A rigid registration between the image pairs was computed for each k-combination set (2,000-8,000,000). The mean and standard deviation of the registration were used as final registration for each image pair. Joint entropy was used to validate the output results. Results: An average of 154 (range: 91-212) landmark pairs were selected for each CT/CBCT image pair. The mean standard deviation of the registration output decreased as the k-size increased for all cases. In general, the joint entropy evaluated was found to be lower than results from commercially available software. Of all 58 cases 58.3% of the k=4, 15% of k=8 and 18.3% of k=12 resulted in the better registration using CORRO as compared to 8.3% from a commercial registration software. The minimum joint entropy was determined for one case and found to exist at the estimated registration mean in agreement with the CORRO algorithm. Conclusion: The results demonstrate that CORRO works even in the extreme case of the pelvic anatomy where the CBCT suffers from reduced quality due to increased noise levels. The estimated optimal registration using CORRO was found to be better than commercially available software for all k-sets tested. Additionally, the k-set of 4 resulted in overall best outcomes when compared to k=8 and 12, which is anticipated because k=8 and 12 are more likely to have combinations that affected the accuracy of the registration.
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Kristin, Julia, Manuel Burggraf, Dirk Mucha, Christoph Malolepszy, Silvan Anderssohn, Joerg Schipper, and Thomas Klenzner. "Automatic Registration for Navigation at the Anterior and Lateral Skull Base." Annals of Otology, Rhinology & Laryngology 128, no. 10 (May 8, 2019): 894–902. http://dx.doi.org/10.1177/0003489419849086.

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Objective: Navigation systems create a connection between imaging data and intraoperative situs, allowing the surgeon to consistently determine the location of instruments and patient anatomy during the surgical procedure. The best results regarding the target registration error (measurement uncertainty) are normally demonstrated using fiducials. This study aimed at investigating a new registration strategy for an electromagnetic navigation device. Methods: For evaluation of an electromagnetic navigation system and comparison of registration with screw markers and automatic registration, we are calculating the target registration error in the region of the paranasal sinuses/anterior and lateral skull base with the use of an electromagnetic navigation system and intraoperative digital volume tomography (cone-beam computed tomography). We carried out 10 registrations on a head model (total n = 150 measurements) and 10 registrations on 4 temporal bone specimens (total n = 160 measurements). Results: All in all, the automatic registration was easy to perform. For the models that were used, a significant difference between an automatic registration and the registration on fiducials was evident for just a limited number of screws. Furthermore, the observed differences varied in terms of the preferential registration procedure. Conclusion: The automatic registration strategy seems to be an alternative to the established methods in artificial and cadaver models of intraoperative scenarios. Using intraoperative imaging, there is an option to resort to this kind of registration as needed.
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Hata, Nobuhiko, Servet Tatli, Atsushi Yamada, Olutayo Olubiyi, and Stuart G. Silverman. "Nonrigid Registration of Pre-Procedural MRI and Intra-Procedural CT in CT-Guided Cryoablation of Lung Tumors to Improve Lung Tumor Conspicuity." Journal of Medical Robotics Research 01, no. 02 (June 2016): 1650004. http://dx.doi.org/10.1142/s2424905x16500045.

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To improve lung tumor conspicuity during CT-guided cryoablations, we used nonrigid image registrations to fuse pre-procedural MR images and intra-procedural CT images and determined which set of CT images taken at planning, targeting, and monitoring phases of the procedure provided the most accurate and fastest registrations. In 10 percutaneous CT-guided cryoablation procedures, MR images were registered with intra-procedural CT images using a nonrigid registration technique using an intensity-based approach with affine and B-Spline transformations. The time to complete the registration as well as the accuracy of the registration defined by Target Registration Error (TRE), Dice Similarity Coefficient (DSC), and Hausdorff Distance (HD) were measured to assess the performance of the registration. The least significant difference (LSD) method was used as a post-hoc analysis for comparing time and accuracy among planning, targeting, and monitoring phases. The mean TRE of the registration ranged from 6.26 (planning) to 10.31 (monitoring) mm. The mean DSC ranged from 83.86 (monitoring) to 89.22 (planning). The mean HD values ranged from 7.74 (targeting) to 12.20 (monitoring). Mean registration time ranged from 68.67 (monitoring) to 92.02 (planning) s. Using HD, registrations in either the planning or targeting phase were more accurate than in the monitoring phase. The registration was faster using monitoring images than using planning images. Nonrigid registration techniques can be used to fuse pre-procedural MR images with intra-procedural CT images with varying performance depending on the CT images taken at the different phases of the procedure. Therefore, caution should be taken in setting expectations on accuracies and speeds of registration depending on the phases of the CT-guided ablation procedures.
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Campa, Domenico. "Exploring the Market of Soccer Player Registrations: An Empirical Analysis of the Difference Between Transfer Fees and Estimated Players’ Inherent Value." Journal of Sports Economics 23, no. 4 (November 24, 2021): 379–406. http://dx.doi.org/10.1177/15270025211059527.

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This paper examines the determinants of the difference between soccer player registration transfer fees and the estimated inherent value of transferred players. The results show that this difference increases for players competing in the same league as that of the acquiring team, players acquired during winter transfer windows, defender registrations, and in the presence of player registration swaps. It decreases for midfielder registrations and for registrations purchased the year immediately before the expiration of players’ contracts. Finally, the difference between registration transfer fees and estimated players’ inherent value increases up to when players are 28 years old and decreases afterwards.
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Vianna, Vinicius Pavanelli, and Luiz Otavio Murta. "Long-range medical image registration through generalized mutual information (GMI): towards a fully automatic volumetric alignment." Physics in Medicine & Biology 67, no. 5 (February 24, 2022): 055006. http://dx.doi.org/10.1088/1361-6560/ac5298.

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Abstract Objective. Mutual information (MI) is consolidated as a robust similarity metric often used for medical image registration. Although MI provides a robust registration, it usually fails when the transform needed to register an image is too large due to MI local minima traps. This paper proposes and evaluates Generalized MI (GMI), using Tsallis entropy, to improve affine registration. Approach. We assessed the GMI metric output space using separable affine transforms to seek a better gradient space. The range used was 150 mm for translations, 360° for rotations, [0.5, 2] for scaling, and [−1, 1] for skewness. The data were evaluated using 3D visualization of gradient and contour curves. A simulated gradient descent algorithm was also used to calculate the registration capability. The improvements detected were then tested through Monte Carlo simulation of actual registrations with brain T1 and T2 MRI from the HCP dataset. Main results. Results show significantly prolonged registration ranges, without local minima in the metric space, with a registration capability of 100% for translations, 88.2% for rotations, 100% for scaling and 100% for skewness. Tsallis entropy obtained 99.75% success in the Monte Carlo simulation of 2000 translation registrations with 1113 double randomized subjects T1 and T2 brain MRI against 56.5% success for the Shannon entropy. Significance. Tsallis entropy can improve brain MRI MI affine registration with long-range translation registration, lower-cost interpolation, and faster registrations through a better gradient space.
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Library Association, American. "Registration." College & Research Libraries News 50, no. 1 (January 1, 1989): 68–70. http://dx.doi.org/10.5860/crln.50.1.68.

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Goymour, Amy. "MISTAKEN REGISTRATIONS OF LAND: EXPLODING THE MYTH OF “TITLE BY REGISTRATION”." Cambridge Law Journal 72, no. 3 (November 2013): 617–50. http://dx.doi.org/10.1017/s000819731300072x.

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AbstractWhen the Land Registration Act 2002 first came into force, the prevailing academic view was that it had created a system of “title by registration”, such that, where someone (B) is mistakenly registered as owner of another person's (A's) land, he acquires a good title (notwithstanding the mistake) that can validly be conveyed to someone else (C). The thesis of this article is that, whilst the logic of the “title by registration” principle might be conceptually attractive, it has proven to be unworkable in practice, is questionable as a matter of policy, and – looking to the future – ought to be abandoned in favour of a more subtle legislative scheme for resolving A-B-C disputes.
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Yang, Yun Feng, Peng Xiao Wang, Jia Li, Xin Rui Wang, and Bo Li. "Medical Image Registration Based on Simplified Multi Wavelet Transform." Applied Mechanics and Materials 513-517 (February 2014): 2739–43. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2739.

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Medical images registration technique is important to the modern clinical medicine. A registration algorithm of medical images is proposed in the paper. The algorithm consists of two part, i.e. the rough registration and the fine registration. In the rough registration procedure, the contour lines of the couple medical images are obtained at first, then they are resampled to obtain fewer contour feature points. The rough registration is accomplished based on the resampled contour lines and the Principal Axes method. In the fine registration procedure, the simplified multiwavelet transform is used to obtain the couple images multiscale information at first, then part of high-frequency coefficients are selected as registration objects. In addition, the selected high-frequency sub-bands are filtered by their mathematical expectation, and hierarchical registration strategy is used in the registration process. The experiment results show that the proposed registration algorithm is an effect method, not only the registrations precision can be held, but also the calculation cost is reduced.
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Keshtgar, Safoora, Francesca Tosson, Disha Mavani, Rima Sadhia Hussain, Sana Movahedi, and Rupert Austin. "Service Evaluation of Recording Jaw Registrations for Removable Partial Dentures in NHS General Dental Practices." Primary Dental Journal 9, no. 1 (March 2020): 49–55. http://dx.doi.org/10.1177/2050168420911030.

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Aims: To establish the prevalence of jaw registrations being taken for removable partial dentures (RPDs) in primary dental NHS practices. Method: 271 RPDs made by 16 general dental practitioners across four NHS dental practices were evaluated prospectively. The number of teeth replaced, whether jaw registration was undertaken, and the number of denture adjustment appointments were recorded. Telephone interviews with dental technicians were held to establish their preferred jaw registrations material. Main findings: Jaw registrations were not carried out in 27% (n=72) of RPD. When jaw registration was recorded, 14% (n=28) required a further denture adjustment appointment. 64% (n=46) of dentures where jaw registration was not recorded required at least one further denture adjustment appointment. Dental technicians unanimously preferred a squash-bite wax block, with centre and canine positions marked and cast models secured with elastic bands. Conclusion: Overall, recording a jaw registration reduced the number of denture adjustment appointments required.
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Dissertations / Theses on the topic "Registration"

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Purwani, Sri. "Ensemble registration : combining groupwise registration and segmentation." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/ensemble-registration-combining-groupwise-registration-and-segmentation(5f3c06b4-4909-492b-bbc9-a0fecb77d216).html.

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Registration of a group of images generally only gives a pointwise, dense correspondence defined over the whole image plane or volume, without having any specific description of any common structure that exists in every image. Furthermore, identifying tissue classes and structures that are significant across the group is often required for analysis, as well as the correspondence. The overall aim is instead to perform registration, segmentation, and modelling simultaneously, so that the registration can assist the segmentation, and vice versa. However, structural information does play a role in conventional registration, in that if the registration is successful, it would be expected structures to be aligned to some extent. Hence, we perform initial experiments to investigate whether there is explicit structural information present in the shape of the registration objective function about the optimum. We perturbed one image locally with a diffeomorphism, and found interesting structure in the shape of the quality of fit function. Then, we proceed to add explicit structural information into registration framework, using various types of structural information derived from the original intensity images. For the case of MR brain images, we augment each intensity image with its own set of tissue fraction images, plus intensity gradient images, which form an image ensemble for each example. Then, we perform groupwise registration by using these ensembles of images. We apply the method to four different real-world datasets, for which ground-truth annotation is available. It is shown that the method can give a greater than 25% improvement on the three difficult datasets, when compared to using intensity-based registration alone. On the easier dataset, it improves upon intensity-based registration, and achieves results comparable with the previous method.
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Schestowitz, Samuel. "Unifying models and registration : a framework for model-based registration and non-rigid registration assessment." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509887.

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Prasai, Persis. "Multimodality image registration." Birmingham, Ala. : University of Alabama at Birmingham, 2006. http://www.mhsl.uab.edu/dt/2007m/prasai.pdf.

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Participants, All. "Breakfast and Registration." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/dcseug/2018/schedule/12.

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Cole, Jeffrey Bryan. "Voter Registration Made Easy: Who Takes Advantage of Election Day Registration and Same Day Registration and Do They Vote?" The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354509669.

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Müller, Barbara K. "Multinational trademark registration systems : international trademark registration today and in the future /." Bern : Stämpfli, 2002. http://www.gbv.de/dms/spk/sbb/recht/toc/349360197.pdf.

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Li, Lin. "Multi-scale spectral embedding representation registration (MSERg) for multi-modal imaging registration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1467902012.

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Batlle, Subirós Elisabet. "Large-Scale Surface registration." Doctoral thesis, Universitat de Girona, 2008. http://hdl.handle.net/10803/7606.

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The first part of this work presents an accurate analysis of the most relevant 3D registration techniques, including initial pose estimation, pairwise registration and multiview registration strategies. A new classification has been proposed, based on both the applications and the approach of the methods that have been discussed.
The main contribution of this thesis is the proposal of a new 3D multiview registration strategy. The proposed approach detects revisited regions obtaining cycles of views that are used to reduce the inaccuracies that may exist in the final model due to error propagation. The method takes advantage of both global and local information of the registration process, using graph theory techniques in order correlate multiple views and minimize the propagated error by registering the views in an optimal way. The proposed method has been tested using both synthetic and real data, in order to show and study its behavior and demonstrate its reliability.
La primera part d'aquest treball presenta una anàlisi acurada de les tècniques de registre 3D es rellevants, incloent tècniques d'estimació de la posició inicial, registre pairwise i registre entre múltiples vistes. S'ha proposat una nova classificació de les tècniques, depenent de les seves aplicacions i de l'estratègia utilitzada.
La contribució mes important d'aquesta tesi és la proposta d'un nou mètode de registre 3D utilitzant múltiples vistes. El mètode proposat detecta regions ja visitades prèviament, obtenint cicles de vistes que s'utilitzen per tal de reduir els desalineaments en el model final deguts principalment a la propagació de l'error durant el procés de registre. Aquest mètode utilitza tant informació global com local, correlacionant les vistes mitjançant tècniques de grafs que permeten minimitzar l'error propagat i registrar les vistes de forma òptima. El mètode proposat ha estat provat utilitzant dades sintètiques i reals, per tal de mostrar i analitzar el seu comportament i demostrar la seva eficàcia.
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Harg, Erik. "Volume-to-volume registration." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9196.

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Implementation of automated volume-to-volume registration applications for three separate registration steps desired in enhancing neurosurgical navigation is considered. Prototype implementations for MRI-to-MRI registration, MRI-to-US registration and US-to-US registration have been made using registration methods available in the Insight Toolkit, with variants of the Mutual Information similarity metric. The obtained results indicate that automatic volume-to-volume registration using Normalized Mutual Information should be feasible for the neuronavigational applications considered here, with sufficient accuracy.

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Wyatt, Paul. "Concurrent segmentation and registration." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398273.

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Books on the topic "Registration"

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Office, Zambia Elections, ed. Registration of voters: Registration officers' handbook. Lusaka: Republic of Zambia, Elections Office, 1998.

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Canada, Canada Industry, ed. Lobbyists Registration Act: A guide to registration. [Ottawa?]: Industry Canada, 1996.

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Office, Great Britain Patent. Design registration. Newport: Patent Office, 1999.

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Organisation, Investment Management Regulatory. Individual registration. London: IMRO, 1994.

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Federation of Family History Societies., ed. Civil registration. Birmingham [England]: Federation of Family History Societies, 1994.

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Shah, Mubarak, and Rakesh Kumar, eds. Video Registration. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0459-7.

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Goshtasby, A. Ardeshir. Image Registration. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2458-0.

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Organisation, Investment Management Regulatory. Individual registration. London: IMRO, 1994.

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Ready, Nigel P. Ship registration. London: Lloyd's of London Press, 1991.

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name, No. Video registration. Boston, MA: Kluwer Academic Publishers, 2003.

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Book chapters on the topic "Registration"

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Joshi, Anand A. "Registration." In Neuromethods, 3–12. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7647-8_1.

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Théau, Jérôme. "Registration." In Encyclopedia of GIS, 1. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_1104-2.

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Théau, Jérôme. "Registration." In Encyclopedia of GIS, 1759–60. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1104.

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Théau, Jérôme. "Registration." In Encyclopedia of GIS, 956. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1104.

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Lu, Ming Q., Yanbin Xie, and Sandy Bai. "Registration." In Approaching China's Pharmaceutical Market, 285–327. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15576-0_4.

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Weik, Martin H. "registration." In Computer Science and Communications Dictionary, 1454. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_15902.

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Glasman, Joël. "Registration." In Humanitarianism and the Quantification of Human Needs, 170–210. Abingdon, Oxon; New York: Routledge, 2020. | Series: Routledge humanitarian studies: Routledge, 2019. http://dx.doi.org/10.4324/9781003006954-6.

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Fogarty, Aengus R. M. "Registration." In Merchant Shipping Legislation, 1–52. Third edition. | Abingdon, Oxon ; New York, NY : Informa Law from Routledge, 2017.: Informa Law from Routledge, 2017. http://dx.doi.org/10.4324/9781315232218-1.

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Shah, Mubarak, and Rakesh Kumar. "Video Registration: A Perspective." In Video Registration, 1–17. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0459-7_1.

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Fitzgibbon, Andrew W., and Andrew Zisserman. "Automatic Camera Tracking." In Video Registration, 18–35. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0459-7_2.

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Conference papers on the topic "Registration"

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"Registration / On-Site Registration Fees." In IEEE Conference Record - Abstracts. 31st IEEE International Conference On Plasma Science. IEEE, 2004. http://dx.doi.org/10.1109/plasma.2004.1339587.

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"Registration." In 2007 IEEE 34th International Conference on Plasma Science (ICOPS). IEEE, 2007. http://dx.doi.org/10.1109/ppps.2007.4345428.

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"Registration." In Proceedings of the 44th IEEE Conference on Decision and Control. IEEE, 2005. http://dx.doi.org/10.1109/cdc.2005.1582113.

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"Registration." In 2009 IEEE International Symposium on Industrial Electronics (ISIE 2009). IEEE, 2009. http://dx.doi.org/10.1109/isie.2009.5214267.

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"Registration." In 2005 IEEE Radio Frequency Integrated Circuits (RFIC) Symposium. IEEE, 2005. http://dx.doi.org/10.1109/rfic.2005.1489911.

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"Registration." In Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005. IEEE, 2005. http://dx.doi.org/10.1109/ijcnn.2005.1555801.

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"Registration." In 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC). IEEE, 2019. http://dx.doi.org/10.23919/ps.2019.8818008.

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"Registration." In 2020 59th IEEE Conference on Decision and Control (CDC). IEEE, 2020. http://dx.doi.org/10.1109/cdc42340.2020.9304045.

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"Registration." In 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC). IEEE, 2022. http://dx.doi.org/10.23919/oecc/psc53152.2022.9849956.

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"Registration." In 2007 IEEE 10th International Conference on Rehabilitation Robotics. IEEE, 2007. http://dx.doi.org/10.1109/icorr.2007.4428365.

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Reports on the topic "Registration"

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Wasserstrom, Eliahu. Subpixel Registration. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada171614.

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Postel, J. Media Type Registration Procedure. RFC Editor, March 1994. http://dx.doi.org/10.17487/rfc1590.

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Freed, N., and J. Postel. IANA Charset Registration Procedures. RFC Editor, January 1998. http://dx.doi.org/10.17487/rfc2278.

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Freed, N., and J. Postel. IANA Charset Registration Procedures. RFC Editor, October 2000. http://dx.doi.org/10.17487/rfc2978.

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Fogelstroem, E., A. Jonsson, and C. Perkins. Mobile IPv4 Regional Registration. RFC Editor, June 2007. http://dx.doi.org/10.17487/rfc4857.

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Bobo, L. B. Flexible circuit registration improvements. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/5109921.

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Melnyk, Yuriy. ISBN Registration KRPOCH Publishing. KRPOCH, 2012. http://dx.doi.org/10.26697/publisher.4.2.

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Melnyk, Yuriy. DOI Registration KRPOCH Publishing. KRPOCH, 2012. http://dx.doi.org/10.26697/publisher.4.1.

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Sun, Pu. Reproduction of 'Rock the Registration: Same Day Registration Increases Turnout of Young Voters'. Social Science Reproduction Platform, July 2022. http://dx.doi.org/10.48152/ssrp-jk60-f979.

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CORPS OF ENGINEERS WASHINGTON DC. Engineering and Design: Professional Registration. Fort Belvoir, VA: Defense Technical Information Center, August 1995. http://dx.doi.org/10.21236/ada404502.

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