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    المؤلفون: Tatiana Alexandrova

    المصدر: Vestnik Pravoslavnogo Svâto-Tihonovskogo Gumanitarnogo Universiteta: Seriâ III. Filologiâ, Vol 79, Iss 79, Pp 55-87 (2024)

    مصطلحات موضوعية: the orphic “lithica" (“on stones”), orphism, orpheus, stones, mineralogy, theurgy, late antique literature., орфическая "литика" ("о камнях"), орфизм, орфей, камни, минералогия, теургия, позднеантичная литература., Philology. Linguistics, P1-1091, Literature (General), PN1-6790

    وصف الملف: electronic resource

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    المساهمون: The study was conducted with the Russia Science Foundation support, grant No. 22-75-10100 signed July 15, 2022., Исследование выполнено при поддержке Российского научного фонда, грант № 22-75-10100 от 15 июля 2022 года.

    المصدر: Urology Herald; Том 12, № 4 (2024); 121-134 ; Вестник урологии; Том 12, № 4 (2024); 121-134 ; 2308-6424 ; 10.21886/2308-6424-2024-12-4

    وصف الملف: application/pdf

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J Urol. 2014;192(5):1440-1445. DOI:10.1016/j.juro.2014.05.117; Green BW, Labagnara K, Feiertag N, Gupta K, Donnelly J, Watts KL, Crivelli JJ, Assimos DG, Small AC. Financial Toxicity of Nephrolithiasis: The First Assessment of the Economic Stresses of Kidney Stone Treatment. Urology. 2022;170:46-52. DOI:10.1016/j.urology.2022.08.042; Litwin MS, Saigal CS, Yano EM, Avila C, Geschwind SA, Hanley JM, Joyce GF, Madison R, Pace J, Polich SM, Wang M; Urologic Diseases in America Project. Urologic diseases in America Project: analytical methods and principal findings. J Urol. 2005;173(3):933-937. DOI:10.1097/01.ju.0000152365.43125.3b; Khan SR, Canales BK, Dominguez-Gutierrez PR. Randall’s plaque and calcium oxalate stone formation: role for immunity and inflammation. Nat Rev Nephrol. 2021;17(6):417-433. DOI:10.1038/s41581-020-00392-1; Zou XC, Luo CW, Yuan RM, Jin MN, Zeng T, Chao HC. 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DOI:10.2138/am.2006.1844; Sivaguru M, Saw JJ, Williams JC Jr, Lieske JC, Krambeck AE, Romero MF, Chia N, Schwaderer AL, Alcalde RE, Bruce WJ, Wildman DE, Fried GA, Werth CJ, Reeder RJ, Yau PM, Sanford RA, Fouke BW. Geobiology reveals how human kidney stones dissolve in vivo. Sci Rep. 2018;8(1):13731. DOI:10.1038/s41598-018-31890-9; Todorov LG, Sivaguru M, Krambeck AE, Lee MS, Lieske JC, Fouke BW. GeoBioMed perspectives on kidney stone recurrence from the reactive surface area of SWL-derived particles. Sci Rep. 2022;12(1):18371. DOI:10.1038/s41598-022-23331-5; Manzoor MAP, Agrawal AK, Singh B, Mujeeburahiman M, Rekha PD. Morphological characteristics and microstructure of kidney stones using synchrotron radiation μCT reveal the mechanism of crystal growth and aggregation in mixed stones. PLoS One. 2019;14(3):e0214003. DOI:10.1371/journal.pone.0214003; The European Association of Urology (EAU). Urolithiasis Guidelines. Accessed on 24.04.2024. 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J Clin Med. 2024;13(4):1114. DOI:10.3390/jcm13041114; Daudon M, Bader CA, Jungers P. Urinary calculi: review of classification methods and correlations with etiology. Scanning Microsc. 1993;7(3):1081-1104; discussion 1104-1106. PMID: 8146609; Daudon M, Dessombz A, Frochot V, Letavernier E, Haymann JP, Jungers P, Bazin D. Comprehensive morpho-constitutional analysis of urinary stones improves etiological diagnosis and therapeutic strategy of nephrolithiasis. Comptes Rendus Chim. 2016;19(11-12):1470-1491. DOI:10.1016/j.crci.2016.05.008; Cloutier J, Villa L, Traxer O, Daudon M. Kidney stone analysis: “Give me your stone, I will tell you who you are!”. World J Urol. 2015;33(2):157-169. DOI:10.1007/s00345-014-1444-9; Letavernier E, Bazin D, Daudon M. Description of Stone Morphology and Crystalluria Improve Diagnosis and Care of Kidney Stone Formers. Healthcare (Basel). 2022;11(1):2. DOI:10.3390/healthcare11010002; Black KM, Law H, Aldoukhi A, Deng J, Ghani KR. Deep learning computer vision algorithm for detecting kidney stone composition. BJU Int. 2020;125(6):920-924. DOI:10.1111/bju.15035; Tang K, Wang YD, Mostaghimi P, Knackstedt M, Hargrave C, Armstrong RT. Deep convolutional neural network for 3D mineral identification and liberation analysis. Minerals Engineering. 2022;183:107592. DOI:10.1016/j.mineng.2022.107592; Wu B, Ji X, He M, Yang M, Zhang Z, Chen Y, Wang Y, Zheng X. Mineral Identification Based on Multi-Label Image Classification. Minerals. 2022;12(11):1338. DOI:10.3390/min12111338; Long T, Zhou Z, Hancke G, Bai Y, Gao Q. A Review of Artificial Intelligence Technologies in Mineral Identification: Classification and Visualization. J Sens Actuator Netw. 2022;11(3):50. DOI:10.3390/jsan11030050; Serrat J, Lumbreras F, Blanco F, Valiente M, López-Mesas M. myStone: A system for automatic kidney stone classification. Expert Syst Appl. 2017;89:41–51. DOI:10.1016/j.eswa.2017.07.024; Stone L. Assessing kidney stone composition using deep learning. Nat Rev Urol. 2020;17:192-193. DOI:10.1038/s41585-020-0301-4; Onal EG, Tekgul H. Assessing kidney stone composition using smartphone microscopy and deep neural networks. BJUI Compass. 2022;3(4):310-315. DOI:10.1002/bco2.137; Fazil Marickar YM, Varma L, Koshy, P. Ultra structural study of laminated urinary stone. Urol Res. 2009;37:289-292. DOI:10.1007/s00240-009-0210-8; Orhan K, ed. Micro-computed Tomography (micro-CT). In: Medicine and Engineering. Cham: Springer International Publishing, 2020. DOI:10.1007/978-3-030-16641-0; Cnudde V, Boone MN. High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications. Earth-Sci Rev. 2013;123:1-17. DOI:10.1016/j.earscirev.2013.04.003; Williams JC Jr, Lingeman JE, Daudon M, Bazin D. Using micro computed tomographic imaging for analyzing kidney stones. C R Chim. 2021;24(Suppl 2):10.5802/crchim.89. DOI:10.5802/crchim.89; Reedy CL. 3D Documentation and Analysis of Porosity in Deteriorated Historic Brick. Stud CONSERV. 2020;65:P258–P261. DOI:10.1080/00393630.2020.1752426; Taud H, Martinez-Angeles R, Parrot JF, Hernandez-Escobedo L. Porosity estimation method by X-ray computed tomography. J Pet Sci Eng. 2005;47(3-4):209-217. DOI:10.1016/j.petrol.2005.03.009; Saxena N, Hows A, Hofmann R, Alpak FO, Dietderich J, Appel M, Freeman J, Jong HD. Rock properties from micro-CT images: Digital rock transforms for resolution, pore volume, and field of view. AdV Water Resour. 2019;134:103419. DOI:10.1016/j.advwatres.2019.103419; Gavin CT, Ali SN, Tailly T, Olvera-Posada D, Alenezi H, Power NE, Hou J, St. Amant AH, Luyt LG, Wood S, Wu C, Razvi H, Leong HS. Novel Methods of Determining Urinary Calculi Composition: Petrographic Thin Sectioning of Calculi and Nanoscale Flow Cytometry Urinalysis. Sci Rep. 2016;6:19328. 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DOI:10.1080/00365513.2019.1578995; Henderickx MMEL, Stoots SJM, De Bruin DM, Wijkstra H, Freund JE, Wiseman OJ, Ploumidis A, Skolarikos A, Somani BK, Şener TE, Emiliani E, Dragos LB, Villa L, Talso M, Daudon M, Traxer O, Kronenberg P, Doizi S, Tailly T, Tefik T, Hendriks N, Beerlage HP, Baard J, Kamphuis GM. How Reliable Is Endoscopic Stone Recognition? A Comparison Between Visual Stone Identification and Formal Stone Analysis. J Endourol. 2022;36(10):1362-1370. DOI:10.1089/end.2022.0217; Lopez F, Varelo A, Hinojosa O, Mendez M, Trinh DH, ElBeze Y, Hubert J, Estrade V, Gonzalez M, Ochoa G, Daul C. Assessing deep learning methods for the identification of kidney stones in endoscopic images. In: 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Mexico. 2021:2778-2781. DOI:10.1109/EMBC46164.2021.9630211; Estrade V, Senneville BD de, Facq L, Daudon M. Endoscopic in-situ recognition of urinary stones during LASER-induced stone fragmentation: a modern, effective and essential approach in the diagnostic process in urolithiasis. Comptes Rendus Chim. 2022;25(1):407–416. DOI:10.5802/crchim.162; De Coninck V, Skolarikos A, Juliebø-Jones P, Joris M, Traxer O, Keller EX. Advancements in stone classification: unveiling the beauty of urolithiasis. World J Urol. 2024;42(1):46. DOI:10.1007/s00345-023-04746-9; Wang Y, Zhao Y, Therneau TM, Atkinson EJ, Tafti AP, Zhang N, Amin S, Limper AH, Khosla S, Liu H. Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J Biomed Inform. 2020;102:103364. DOI:10.1016/j.jbi.2019.103364; https://www.urovest.ru/jour/article/view/911

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    المصدر: Strategic decisions and risk management; Том 14, № 3 (2023); 272-277 ; تصمیمات راهبردی و مدیریت ریسک ها; Том 14, № 3 (2023); 272-277 ; Стратегические решения и риск-менеджмент; Том 14, № 3 (2023); 272-277 ; 战略决策和风险管理; Том 14, № 3 (2023); 272-277 ; 2618-9984 ; 2618-947X ; undefined

    وصف الملف: application/pdf

    Relation: https://www.jsdrm.ru/jour/article/view/1073/1040; Беляков С.Л. (2004). Электронный документооборот и генерализация электронных карт в ГИС. Известия ТРТУ, 4(39): 177–184.; Богачев Ю.С., Трифонов П.В. (2022). Единое цифровое пространство для эффективного функционирования промышленности. Стратегические решения и риск-менеджмент, 4(13): 376–383. DOI:10.17747/2618-947X-2022-4-376-383.; Иванова Л.Н., Умгаева О.В. (2023). Маркировка ювелирных изделий – эффективный инструмент цифровизации отрасли. Инновационная экономика: информация, аналитика, прогнозы, 2: 55–62. DOI:10.47576/2949-1894_2023_2_55.; https://www.jsdrm.ru/jour/article/view/1073

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