{"status":"ok","message-type":"work-list","message-version":"1.0.0","message":{"facets":{},"total-results":124384438,"items":[{"indexed":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T13:48:57Z","timestamp":1756993737642},"reference-count":0,"publisher":"American Society for Microbiology","issue":"1","license":[{"start":{"date-parts":[[1980,7,1]],"date-time":"1980-07-01T00:00:00Z","timestamp":331257600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["J Clin Microbiol"],"published-print":{"date-parts":[[1980,7]]},"abstract":"<jats:p>Malignancy may be associated with impairment of the immune system. In children with acute leukemia, an impaired immunoglobulin M (IgM) antibody response to poliovirus was documented previously. It was of interest, therefore, to determine the immunoclass of antibodies produced against the O antigens of bacteria causing bacteremia in patients with leukemia and other malignancies. For control purposes, parallel studies were carried out in patients without maligancies but with infections caused by gram-negative bacteria. The patients with malignancies were adults, and those without malignancies were children. The serum specimens were selected from patients mounting an antibody response. IgG and IgM antibodies were identified by mercaptoethanol reduction and chromatography. Antibody titers against the O antigens of enteric bacteria were determined by the hemagglutination procedure. Antibodies of both IgM and IgG immunoclasses were produced by all but 1 of 16 patients with leukemia and by all but 1 of 12 subjects with other malignancies. Thus, a specific IgM immune deficiency in adult patients with leukemia or other malignancies complicated by bacteremia was not present; however, the magnitude of the antibody response of the patient with leukemia was less than that of the subjets with other maligancies, with the median antibody titers of the former being 320 and those of the latter being 2,560.<\/jats:p>","DOI":"10.1128\/jcm.12.1.60-62.1980","type":"journal-article","created":{"date-parts":[[2020,1,5]],"date-time":"2020-01-05T02:25:19Z","timestamp":1578191119000},"page":"60-62","update-policy":"http:\/\/dx.doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":4,"title":["Immunoglobulin G and immunoglobulin M antibody responses of patients with malignancies to the O antigens of bacteria causing bacteremia"],"prefix":"10.1128","volume":"12","author":[{"given":"P J","family":"Gannon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M 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The study, based on the material of dialectal speech recordings made in the 2008 and 2009 (nine speakers born in 1914\u20131940, total duration \u2014 19 hours), reveals that the prosodic system of these dialects is relatively similar to that one of the Modern Standard Russian, sharing with it most pitch accents (L*, H*+L, L*+H) and association of tonal structures with the basic communicative categories \u2014 statements, yes-no questions, wh-question, non-finality, commands and requests. The main distinctive properties of the Vladimir dialect as compared to Standard Russian are: 1) phonological distinction between two rising pitch accents \u2014 L*+H and L+H*; 2) probable H* pitch accents in dialects with akan\u2019je; 3) \u201cfalling set-up\u201d on pretonic syllable for rising pitch accents; 4) earlier timing of rising L*+H and falling H*+L pitch accents; 5) phonological distinction between two initial boundary tones \u2014 %L and %H; 6) the wide distribution of falling final boundary tone HL%; 7) some traces of \u2018word-to-word\u2019 tonal prominence. Meanwhile, the difference between the two Vladimir dialects themselves is not that noticeable and lies in the domain of phonetic realization and the degree of manifestation of particular elements of prosodic structure, as well as in the degree of their prevalence rather than in the set of prosodic units.<\/jats:p>","DOI":"10.31168\/2305-6754.2023.1.05","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T16:28:36Z","timestamp":1702916916000},"page":"155-224","source":"Crossref","is-referenced-by-count":2,"title":["Phrase Prosody of Two Eastern Middle-Russian Dialects"],"prefix":"10.31168","volume":"12","author":[{"name":"Vinogradov Russian Language Institute, Russian Academy of Sciences","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0140-6833","authenticated-orcid":false,"given":"Sergey","family":"Knyazev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8341-4406","authenticated-orcid":false,"given":"Svetlana","family":"Dyachenko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"name":"Vinogradov Russian Language Institute, Russian Academy of Sciences","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"16235","published-online":{"date-parts":[[2023]]},"container-title":["Slovene"],"deposited":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T16:28:44Z","timestamp":1702916924000},"score":0.0,"resource":{"primary":{"URL":"http:\/\/slovene.ru\/ojs\/index.php\/slovene\/article\/view\/604"}},"issued":{"date-parts":[[2023]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023]]},"published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/doi.org\/10.31168\/2305-6754.2023.1.05","ISSN":["2304-0785","2305-6754"],"issn-type":[{"value":"2304-0785","type":"print"},{"value":"2305-6754","type":"electronic"}],"published":{"date-parts":[[2023]]}},{"indexed":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T13:49:14Z","timestamp":1756993754357},"reference-count":0,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circulation Research"],"published-print":{"date-parts":[[1963,2]]},"abstract":"<jats:p>\n            Hypopotassemia was produced in dogs by hemodialysis or by intravenous administration of glucose with insulin. Both methods resulted in a similar decrease in plasma K concentration and similar ECG changes although K was withdrawn from the cells during dialysis while it entered the cells during glucose-insulin infusion. The maximal plasma K decrease occurred after two hours of dialysis or glucose-insulin infusion; administration of glucose-insulin after dialysis resulted in no further plasma potassium decrease. However, dialysis after glucose-insulin infusion caused further lowering of plasma potassium. The ECG changes were evaluated in relation to changes in plasma K concentration. The most consistent effects of hypopotassemia were in decreasing order: increased duration of the QRS complex, increased duration of the QT\n            <jats:sub>c<\/jats:sub>\n            interval and increase in amplitude of the P wave. Correlation coefficients (R) between these ECG changes and the plasma K decreases were of the order -0.48 to -0.54. The ECG changes failed to show even a weak correlation with absolute plasma K concentrations or with calculated changes in intracellular K.\n          <\/jats:p>","DOI":"10.1161\/01.res.12.2.145","type":"journal-article","created":{"date-parts":[[2012,6,12]],"date-time":"2012-06-12T00:44:49Z","timestamp":1339461889000},"page":"145-151","update-policy":"http:\/\/dx.doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":3,"title":["Effects of Hemodialysis and of Glucose-Insulin Administration on Plasma Potassium and on the Electrocardiogram"],"prefix":"10.1161","volume":"12","author":[{"given":"BORYS","family":"SURAWICZ","sequence":"first","affiliation":[{"name":"Division of Experimental Medicine and the Metabolic Unit of the Department of Medicine, University of Vermont, College of Medicine, Burlington, Vermont"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ARTHUR S.","family":"KUNIN","sequence":"additional","affiliation":[{"name":"Division of Experimental Medicine and the Metabolic Unit of the Department of Medicine, University of Vermont, College of Medicine, Burlington, Vermont"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"ETHAN A. 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The evolution of the vortex flow patterns in the areas of separation of the boundary layer and with a change in the flow regime is shown.<\/jats:p>","DOI":"10.1088\/1742-6596\/1382\/1\/012030","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T01:13:24Z","timestamp":1575335604000},"page":"012030","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Flow around the wing models with straight and swept leading edge in case of contact with turbulent wake"],"prefix":"10.1088","volume":"1382","author":[{"given":"A M","family":"Pavlenko","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B Yu","family":"Zanin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A V","family":"Bykov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M 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Due to flood not only loss of human life and misery of millions of people occur, but tremendous damages occur in public and private property.\u00a0 It cannot be stopped, but can be managed to save the lives and property of the people. To manage a flood, there are two solutions, physical and logical. In physical solutions, different physical constructions are made to manage flood like levee, channel improvement, flood ways, and widening of barrages, but these control works have many deficiencies. In logical solutions, models and techniques are developed to manage the flood, however, these systems also have some deficiencies. To overcome the deficiencies in the existing models, we focus on to develop a flood management model consisting of an off-river reservoir and diverted canals having regulators. Reservoirs are most effective water storage that smooth down extreme inflow.\u00a0 The optimal operations of reservoirs determine the release and accumulation of water over time. For effective operative decision, operating rules will be defined in Z-Specification. For these operating rules, we will develop an algorithm, will verify the rules in Z-Notation and will implement them in the Java programming language.<\/jats:p>","DOI":"10.21015\/vtcs.v9i1.1001","type":"journal-article","created":{"date-parts":[[2024,1,14]],"date-time":"2024-01-14T12:17:41Z","timestamp":1705234661000},"page":"34-46","source":"Crossref","is-referenced-by-count":0,"title":["Specification of Operating Rules for Water Reservoir to Manage Flood Using Z-Notation"],"prefix":"10.21015","volume":"9","author":[{"given":"Hasrat","family":"Alam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"8598","published-online":{"date-parts":[[2021,12,5]]},"reference":[{"unstructured":". Ahmad, S. & Simonovic, S. P., 2000. Dynamic modeling of flood management policies. Bergen, Norway, In Proceedings of the 18th International Conference of the System Dynamics Society: Sustainability in the Third Millennium, pp. 6-10.","key":"18437"},{"doi-asserted-by":"crossref","unstructured":". Ahmad, S. & Slobodan, P. S., 2000. System dynamics modeling of reservoir operations for flood management. Journal of Computing in Civil Engineering, 7, 14(3), pp. 190-198.","key":"18438","DOI":"10.1061\/(ASCE)0887-3801(2000)14:3(190)"},{"unstructured":". Allen, P., 2009. Operation of spillway gates\u2014how to avoid the problems and pitfalls. Caloundra, Peter Allen, 34th Annual Qld Water Industry Operations Workshop, pp. 98-105.","key":"18439"},{"unstructured":". Asif, R. S. I., 2012. Analysis and Design of Flood Prediction Model using Mobile Agents, Lahore: Roa Sohail Iqbal Asif, University of Central Punjab.","key":"18440"},{"unstructured":". Bakker, M., Baker, R., Meinzen-Dick, R. & Konradsen, F., 1999. Multiple Uses of Water in Irrigated Areas: A Case Study from Sri Lanka, Colombo: International Water Management Institute.","key":"18441"},{"unstructured":". Barlas, Y., 2007. System Dynamics: Systemic Feedback Modeling for Policy Analysis. 1st ed. Istanbul: Bo\u011fazi\u00e7i University.","key":"18442"},{"unstructured":". Bartlett, R. E., 1981. Surface Water Sewerage. [Online]","key":"18443"},{"unstructured":"Available at: http:\/\/trid.trb.org\/view.aspx?id=165264#","key":"18444"},{"unstructured":"[Accessed 05 02 2015].","key":"18445"},{"doi-asserted-by":"crossref","unstructured":". Batuca, D. G. & Jordaan, J. J. M., 2000. General Consideration about Reservoirs. In: Silting and Desilting of Reservoirs. Rotterdam: A. A. Balkema Publishers, pp. 11-19.","key":"18446","DOI":"10.1201\/9781003210993-2"},{"unstructured":". Bowen, P. J., 1988. Formal specification in Z as a design and documentation tool. Livepool, IET, pp. 164-168.","key":"18447"},{"unstructured":". Bowles, D. S., Mathias, J. D., Chauhan, S. S. & Countryman, J. D., 2004. Reservoir Release Forecast Model for Flood Operation of the Folsom Project Including Pre-Releases. Denver, United States Society On Dams.","key":"18448"},{"doi-asserted-by":"crossref","unstructured":". Chang, F. J. & Chang, Y. T., 2006. Adaptive neuro-fuzzy inference system for prediction of water level in reservoir. Advances in Water Resources, 29(1), pp. 1-10.","key":"18449","DOI":"10.1016\/j.advwatres.2005.04.015"},{"doi-asserted-by":"crossref","unstructured":". Cheng, C. T. & Chau, K. W., 2004. Flood control management system for reservoirs. Environmental Modelling & Software, 19(12), p. 1141\u20131150.","key":"18450","DOI":"10.1016\/j.envsoft.2003.12.004"},{"doi-asserted-by":"crossref","unstructured":". Chen, L. et al., 2010. A new seasonal design flood method based on bivariate joint distribution of flood magnitude and date of occurrence. Hydrological Sciences Journal\u2013Journal des Sciences Hydrologiques, 55(8), pp. 1264-1280.","key":"18451","DOI":"10.1080\/02626667.2010.520564"},{"unstructured":". Cigizoglu, H. K. et al., 2007. Artificial Neural Network Models in Rainfall-Runoff Modelling of Turkish Rivers. Turcia, Scientific and Technical Research Council of Turkey (T\u00dcB\u0130TAK), pp. 560-571.","key":"18452"},{"doi-asserted-by":"crossref","unstructured":". Fang, L. et al., 2010. A flood emergency response system based on flood disaster evaluation models. Beijing, IEEE, pp. 1-4.","key":"18453","DOI":"10.1109\/GEOINFORMATICS.2010.5567665"},{"doi-asserted-by":"crossref","unstructured":". Firat, M., 2007. Artificial intelligence techniques for river flow forecastint in the seyhan river catchement. Hydrology and Earth System Sciences (HESS), 4(3), pp. 1369-1406.","key":"18454","DOI":"10.5194\/hessd-4-1369-2007"},{"doi-asserted-by":"crossref","unstructured":". Gamble, R. F., 1995. Integrating a formal specification course with a software projects course via an editing tool. ACM SIGCSE Bulletin, 27(1), pp. 312-316.","key":"18455","DOI":"10.1145\/199691.199836"},{"doi-asserted-by":"crossref","unstructured":". Ghazali, J. N. & Kamisn, A., 2008. A Real Time Simulation and Modeling of Flood Hazard. Heraklion, WSEAS International Conference. Proceedings. Mathematics and Computers in Science and Engineering (No. 12). WSEAS., pp. 438-443.","key":"18456","DOI":"10.1109\/CGIV.2008.29"},{"doi-asserted-by":"crossref","unstructured":". Golian, S., Moazami, S., Yazdi, J. & Sheshangosht, S., 2010. An IFM-based flood damage reduction: A small study area in Iran. Kyoto, IEEE.","key":"18457","DOI":"10.1109\/ICCCENG.2010.5560431"},{"doi-asserted-by":"crossref","unstructured":". Guo, S. et al., 2004. A reservoir flood forecasting and control system for China\/Un syst\u00e8me chinois de pr\u00e9vision et de contr\u00f4le de crue en barrage. Hydrological sciences journal, 49(6).","key":"18458","DOI":"10.1623\/hysj.49.6.959.55728"},{"doi-asserted-by":"crossref","unstructured":". Haktanir, T. & Kisi, \u00d6., 2001. Ten-stage discrete flood routing for dams having gated spillways. Journal of Hydrologic Engineering, 1, 6(1), pp. 86-90.","key":"18459","DOI":"10.1061\/(ASCE)1084-0699(2001)6:1(86)"},{"doi-asserted-by":"crossref","unstructured":". Hsu, N. S. & Wei, C. C., 2007. A multipurpose reservoir real-time operation model for flood control during typhoon invasion. Journal of Hydrology, 7 4, 336(3), pp. 282-293.","key":"18460","DOI":"10.1016\/j.jhydrol.2007.01.001"},{"unstructured":". Iqbal, R. S. et al., 2013. A Mobile Agent-Based Algorithm for Prediction of Inundation Area. Research Journal of Recent Sciences, January, 3(1), pp. 72-77.","key":"18461"},{"doi-asserted-by":"crossref","unstructured":". Jain, S. K., Goel, M. K. & Agarwal, P. K., 1998. Reservoir operation studies of Sabarmati system, India. Journal of water resources planning and management, 124(1), pp. 31-37.","key":"18462","DOI":"10.1061\/(ASCE)0733-9496(1998)124:1(31)"},{"unstructured":". Javadi, S., Kiapasha, M. S. & Mohammadi, K., 2009. Object Oriented Simulation; Its Application in Water Reservoir Management and Operation. Journal of Agricultural Science and Technology, Volume 11, pp. 331-340.","key":"18463"},{"doi-asserted-by":"crossref","unstructured":". Jin, Q., Chen, J., Wang, H. & Zhao, S., 2010. Research on Regional Flood Disaster Risk Assessment Based on PCA and BP Neural Network. Nanjing, IEEE.","key":"18464","DOI":"10.1109\/ICEEE.2010.5660290"},{"doi-asserted-by":"crossref","unstructured":". Kang, L. & Guo, X., 2010. Research on application of cross structure flood risk assessment decision support system using Bayesian Network. Chengdu, IEEE.","key":"18465","DOI":"10.1109\/ICIME.2010.5478150"},{"unstructured":". Lee, S., 2011. Formal Methods in Software Enginering. Kuala Lumpur: FTMS Consultants (M) Sdn Bhd Kuala Lumpur, Malaysia.","key":"18466"},{"unstructured":". Liaqat, W., 2012. Types of Spillways. [Online]","key":"18467"},{"unstructured":"Available at: http:\/\/www.slideshare.net\/waleedliaqat\/spillways","key":"18468"},{"unstructured":"[Accessed 31 08 2015].","key":"18469"},{"doi-asserted-by":"crossref","unstructured":". Lin, Z. & Qiang, Q., 2010. Notice of Retraction The Research on Problem of Flood Insurance Pricing Based on the DFA in PR China. Wuhan, IEEE, pp. 1-7.","key":"18470","DOI":"10.1109\/ICMSS.2010.5577027"},{"doi-asserted-by":"crossref","unstructured":". Li, X., Guo, S., Liu, P. & Chen, G., 2010. Dynamic control of flood limited water level for reservoir operation by considering inflow uncertainty. Journal of hydrology, 391(1), pp. 124-132.","key":"18471","DOI":"10.1016\/j.jhydrol.2010.07.011"},{"unstructured":". Luk, S.-h. & Whitney, J., 1993. 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The sympathetic nervous system influences the cardiovascular and hormonal systems and sympathetic innervation is dependent on nerve growth factor (NGF). The NGF gene is linked genetically to high blood pressure in the spontaneously hypertensive rat (SHR) and there exists a mutation in the SHR low affinity NGF receptor (<jats:italic>LNGFR<\/jats:italic>) gene.<\/jats:p><jats:p>2. To determine whether the <jats:italic>LNGFR<\/jats:italic> mutation was linked genetically with cardiovascular phenotypes we studied an F<jats:sub>2<\/jats:sub> population derived from SHR and normotensive Donryu (DRY) rats.<\/jats:p><jats:p>3. Mean arterial pressure (MAP), left ventricular mass (LVM) and related phenotypes were measured in 127 20 week old male F<jats:sub>2<\/jats:sub> rats and correlated with the inheritance of the SHR mutation (S) and\/or the DRY allele (D) of the <jats:italic>LNGFR.<\/jats:italic><\/jats:p><jats:p>4. 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The injection of the charge will cause a voltage increase in the network, so that more tension will arise in the network. Lightning Arrester (LA) is one of the equipment in the protection system to protect the 20 kV distribution transformer against overvoltage coming from lightning strikes. Under normal circumstances LA acts as an insulator, but when exposed to lightning strikes LA will function as a conductor whose resistance is relatively low, so that it can flow the surge current to the ground. This study aims to see the effect of the placement of lightning arresters before and after fuse cut out on overvoltage in the 20 KV distribution transformer, so that which placement is better is obtained, taking into account factors that affect the level of voltage and overcurrent that occurs in each system such as the location of LA placement, the steepness of incoming waves, the speed of propagation of surja waves, the voltage is large through the protection system, and the Basic Insulation Level (BIL) value of the equipment. So that in the end, the right PLACEMENT of LA was obtained as a 20 kv distribution transformer protection. 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