3,691 research outputs found
Liftings for noncomplete probability spaces
No full textThe current state of knowledge concerning liftings for noncomplete probability spaces is discussed. This is a somewhat expanded version of the author's talk given at the 1991 Summer Conference on General Topology and Applications in Honor of Mary Ellen Rudin and Her Work.PT: S; CR: BURKE MR, IN PRESS P AM MATH S BURKE MR, 1991, ISRAEL J MATH, V73, P33 BURKE MR, 1992, ISRAEL J MATH, V79, P289 CARLSON T, THEOREM LIFTING CHRISTENSEN JPR, 1974, TOPOLOGY BOREL STRUC FREMLIN DH, 1989, HDB BOOLEAN ALGEBRAS, P877 INOESCUTULCEA A, 1966, 5TH P BERK S MATH ST, V2 IONESCUTULCEA A, 1967, CONTRIBUTIONS PROB 1, P63 IONESCUTULCEA A, 1969, TOPICS THEORY LIFTIN JECH TJ, 1978, SET THEORY JOHNSON RA, 1980, P AM MATH SOC, V80, P234 JUST W, IN PRESS T AM MATH S KUPKA J, 1983, INDIANA U MATH J, V32, P717 LOSERT V, 1983, LNM, V1080, P95 MAHARAM D, 1958, P AM MATH SOC, V9, P987 SHELAH S, 1983, ISRAEL J MATH, V45, P90 TALAGRAND M, 1982, P AM MATH SOC, V84, P379 VONNEUMANN J, 1931, CRELLES J MATH, V165, P109; NR: 18; TC: 0; J9: ANN N Y ACAD SCI; PG: 4; GA: BZ86BSource type: Electronic(1
Artificial Intelligence Evidence-Based Current Status and Potential for Lower Limb Vascular Management
No full textConsultation prioritization is fundamental in optimal healthcare management and its performance can be helped by artificial intelligence (AI)-dedicated software and by digital medicine in general. The need for remote consultation has been demonstrated not only in the pandemic-induced lock-down but also in rurality conditions for which access to health centers is constantly limited. The term “AI” indicates the use of a computer to simulate human intellectual behavior with minimal human intervention. AI is based on a “machine learning” process or on an artificial neural network. AI provides accurate diagnostic algorithms and personalized treatments in many fields, including oncology, ophthalmology, traumatology, and dermatology. AI can help vascular specialists in diagnostics of peripheral artery disease, cerebrovascular disease, and deep vein thrombosis by analyzing contrast-enhanced magnetic resonance imaging or ultrasound data and in diagnostics of pulmonary embolism on multi-slice computed angiograms. Automatic methods based on AI may be applied to detect the presence and determine the clinical class of chronic venous disease. Nevertheless, data on using AI in this field are still scarce. In this narrative review, the authors discuss available data on AI implementation in arterial and venous disease diagnostics and care
PROBLEM OF A RATIO OF THE POINTS OF VIEW IN THE NOVEL “FOMA GORDEYEV” BY MAXIM GORKY
No full textVarious points of view of the characters of the novel “Foma Gordeyev” by Maxim Gorky come
to light and are analysed in the article, their complicated ratio supported by certain motives – work or business, dissociation, loneliness, enrichment and search of the place in life – is considered. It is proved that the
ratio of the characters’ points of view understood by the author as positions, from which events are considered, is among the bright artistic touches of early works of Maxim Gorky. This inclusion in the Fin de siècle
era, time of the overall overturn and of the new judgement of many concepts could be used in connection
with unwillingness of Maxim Gorky’s open expression of his author’s opinion. Composing a fancy plot, bringing heroes together, the
writer offers the sooth at the reader’s discretion rather than making emphases. The narrator’s voice is dominating, beginning and finishing the epic narration, at the same time only framing various points of view of the characters. The polyphony of the novel and the
thought-over ratio between the author, the storyteller and the heroes allowed Maxim Gorky creating gallery of living, spatial characters,
emphasising dramatic bases of the Russian life of the represented period and reducing all voices to a uniform denominator. The ratio
of the heroes’ points of view becomes one of the bases of the work’s composition and leads to understanding of the reasons of failures
of many characters. The author of the article analyses ways of introducing the speaking people’s images to the artistic text, emphasises
existence of the special sayings for all occasions in the text designed to influence the recipient by the offer of “wisdom formulas” to it,
only to be taken stock of by the reader. Most likely, the ratio of the points of view in the novel as a special device had, on the one hand,
already been preconditioned, and, on the other hand, could affect a peculiar mosaicity of the upcoming Maxim Gorky’s personal artistic
method. Moreover, features of the narration and substantial aspects of composition allow us saying that in the novel “Foma Gordeyev”,
Maxim Gorky creatively masters and actively uses findings of the Russian classics of the second half of the 19th century
170226 ELDER CARE EVENT BEARD 007
No full textProfessor Laura Olson, a member of the Political Science department at Lehigh, listens to her audience on Wednesday, Feb. 22, 2017 in Williams Hall. Olson is the author of "Elder Care Journey: A View from the Front Lines" (Maxim Beard/B&W Staff
170226 ELDER CARE EVENT BEARD 003
No full textProfessor Laura Olson, author of "Elder Care Journey: A View from the Front Lines", talks during a Brown Bag Series on Wednesday, Feb. 22, 2017 in Williams Hall. Olson is a professor of Political Science at Lehigh. (Maxim Beard/B&W Staff
170226 ELDER CARE EVENT BEARD 005
No full textProfessor Laura Olson, author of "Elder Care Journey: A View from the Front Lines", speaks during a Brown Bag Series on Wednesday, Feb. 22, 2017 in Williams Hall. Olson passionately discussed her personal experience with the long-term care system in the U.S. (Maxim Beard/B&W Staff
FIGURES 11–22 in Dominant Species Of The Genus Protoperidinium Bergh (Peridiniales: Protoperidiniaceae) In The Black Sea
No full textFIGURES 11–22. Protoperidinium of the Black Sea. 11–12—P. bipes; 14–15—P. brochii; 13, 16—P. crassipes; 17–19—P. claudicans; 20–22—P. depressum. Designations: 1ʹ—first apical plate, 2a—second intercalary plate. 11, 13, 15–16—DIC; 12, 14, 18–19, 22—epifluorescence; 17, 20–21—transmitted light. Scale bars: 11–12, 14–15 = 10 µm; 13, 16–22 = 20 µm.Published as part of Krakhmalnyi, Aleksandr F., Krakhmalnyi, Maxim A., Terenko, Galyna V. & Goncharenko, Igor V., 2023, Dominant Species Of The Genus Protoperidinium Bergh (Peridiniales: Protoperidiniaceae) In The Black Sea, pp. 427-448 in Zootaxa 5339 (5) on page 433, DOI: 10.11646/zootaxa.5339.5.2, http://zenodo.org/record/830941
FIGURES 1–10 in Dominant Species Of The Genus Protoperidinium Bergh (Peridiniales: Protoperidiniaceae) In The Black Sea
No full textFIGURES 1–10. Protoperidinium of the Black Sea. 1–2—P. achromaticum; 3–4, 7—P. brevipes; 5, 10—P. quadrioblongum; 6, 8–9—P. excentricum. Designations: 1ʹ—first apical plate, 2a—second intercalary plate. 4, 6–9—epifluorescence; 5, 10— transmitted light. Scale bars: 10 µm.Published as part of Krakhmalnyi, Aleksandr F., Krakhmalnyi, Maxim A., Terenko, Galyna V. & Goncharenko, Igor V., 2023, Dominant Species Of The Genus Protoperidinium Bergh (Peridiniales: Protoperidiniaceae) In The Black Sea, pp. 427-448 in Zootaxa 5339 (5) on page 431, DOI: 10.11646/zootaxa.5339.5.2, http://zenodo.org/record/830941
FIGURES 86–94 in Dominant Species Of The Genus Protoperidinium Bergh (Peridiniales: Protoperidiniaceae) In The Black Sea
No full textFIGURES 86–94. Global distribution maps of some Protoperidinium species. 86—P. excentricum; 87—P. granii; 88—P. knipowitschii (Krakhmalnyi, 2011); 89—P. leonis; 90—P. mediterraneum; 91—P. pallidum; 92—P. pellucidum; 93—P. pentagonum; 94—P. pyriforme.Published as part of Krakhmalnyi, Aleksandr F., Krakhmalnyi, Maxim A., Terenko, Galyna V. & Goncharenko, Igor V., 2023, Dominant Species Of The Genus Protoperidinium Bergh (Peridiniales: Protoperidiniaceae) In The Black Sea, pp. 427-448 in Zootaxa 5339 (5) on page 445, DOI: 10.11646/zootaxa.5339.5.2, http://zenodo.org/record/830941
CCDC 1851983: Experimental Crystal Structure Determination
No full textRelated Article: Artur A. Mannanov, Maxim S. Kazantsev, Anatoly D. Kuimov, Vladislav G. Konstantinov, Dmitry I. Dominskiy, Vasiliy A. Trukhanov, Daniil S. Anisimov, Nikita V. Gultikov, Vladimir V. Bruevich, Igor P. Koskin, Alina A. Sonina, Tatyana V. Rybalova, Inna K. Shundrina, Evgeny A. Mostovich, Dmitry Yu. Paraschuk, Maxim S. Pshenichnikov|2019|J.Mater.Chem.C|7|60|doi:10.1039/c8tc04151
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