دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — بخش چهل و سوم
منطق فازی (Fuzzy Logic) اولین بار در پی تنظیم نظریه مجموعه‌های فازی به وسیله پروفسور لطفی زاده (۱۹۶۵ میلادی) در صحنه محاسبات نو ظاهر شد. در واقع منطق فازی از منطق ارزش‌های «صفر و یک» نرم‌افزارهای کلاسیک فراتر رفته و درگاهی جدید برای دنیای علوم نرم‌افزاری و رایانه‌ها می‌گشاید، زیرا فضای شناور و نامحدود بین اعداد صفر و یک را نیز در منطق و استدلال‌های خود به کار می‌گیرد. در ادامه مقالات علمی انتشارات بین المللی اشپرینگر (Springer) در زمینه منطق فازی (Fuzzy Logic) برای دانلود آمده است. می توانید برای دانلود هر یک از مقالات از سرور دانلود متلب سایت، بر روی لینک دانلود هر یک از آن ها، کلیک کنید.
این نوشته حاوی بخشی از مجموعه کامل مقالات است. برای دریافت سایر بخش ها، به لینک زیر مراجعه نمایید:
دانلود رایگان مجموعه مقالات علمی اشپرینگر در زمینه منطق فازی — فهرست اصلی
| عنوان اصلی مقاله | Norepinephrine weaning in septic shock patients by closed loop control based on fuzzy logic |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Mehdi Merouani, Bruno Guignard, François Vincent, Stephen W Borron, Philippe Karoubi, Jean-Philippe Fosse, Yves Cohen, Christophe Clec'h, Eric Vicaut, Carole Marbeuf-Gueye, Frederic Lapostolle, Frederic Adnet |
| چکیده / توضیح | The rate of weaning of vasopressors drugs is usually an empirical choice made by the treating in critically ill patients. We applied fuzzy logic principles to modify intravenous norepinephrine (noradrenaline) infusion rates during norepinephrine infusion in septic patients in order to reduce the duration of shock. |
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| عنوان اصلی مقاله | Can fuzzy logic make things more clear? |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Jan A Hazelzet |
| چکیده / توضیح | Intensive care is a complex environment involving many signals, data and observations. Clinical decision support and artificial intelligence using fuzzy logic and closed loop techniques are methods that might help us to handle this complexity in a safe, effective and efficient way. Merouani and colleagues have performed a study using fuzzy logic and closed loop techniques to more effectively wean patients with sepsis from norepinephrine infusion. |
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| عنوان اصلی مقاله | Year in review 2008: Critical Care - cardiology |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Luigi Camporota, Marius Terblanche, David Bennett |
| چکیده / توضیح | We review key research papers in cardiology and intensive care published during 2008 in Critical Care. We quote studies on the same subject published in other journals if appropriate. Papers have been grouped into three categories: (a) cardiovascular biomarkers in critical illness, (b) haemodynamic management of septic shock, and (c) haemodynamic monitoring. |
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| عنوان اصلی مقاله | Sepsis and multiple organ failure represent a chaotic adaptation to severe stress which must be controlled at nanoscale |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Yusuf Alper Kilic, Ilke Kilic, Mesut Tez |
| چکیده / توضیح | Sepsis is a major healthcare problem causing significant mortality, morbidity and costs. Despite enormous efforts, a safe and reproducibly effective therapy for sepsis could not be found to date. |
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| عنوان اصلی مقاله | MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Igor Ulitsky, Irit Gat-Viks, Ron Shamir |
| چکیده / توضیح | MetaReg http://acgt.cs.tau.ac.il/metareg/application.html is a computational tool that models cellular networks and integrates experimental results with such models. MetaReg represents established knowledge about a biological system, available today mostly in informal form in the literature, as probabilistic network models with underlying combinatorial regulatory logic. MetaReg enables contrasting predictions with measurements, model improvements and studying what-if scenarios. By summarizing prior knowledge and providing visual and computational aids, it helps the expert explore and understand her system better. |
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| عنوان اصلی مقاله | Mathematical models in mammalian cell biology |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Hanspeter Herzel, Nils Blüthgen |
| چکیده / توضیح | A report on the Conference on Systems Biology of Mammalian Cells, Dresden, Germany, 22-24 May 2008. |
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| عنوان اصلی مقاله | The Transcription Factor Encyclopedia |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Dimas Yusuf, Stefanie L Butland, Magdalena I Swanson, Eugene Bolotin, Amy Ticoll, Warren A Cheung, Xiao Yu Cindy Zhang, Christopher TD Dickman, Debra L Fulton, Jonathan S Lim, Jake M Schnabl, Oscar HP Ramos, Mireille Vasseur-Cognet, Charles N de Leeuw, Elizabeth M Simpson, Gerhart U Ryffel, Eric W-F Lam, Ralf Kist, Miranda SC Wilson, Raquel Marco-Ferreres, Jan J Brosens, Leonardo L Beccari, Paola Bovolenta, Bérénice A Benayoun, Lara J Monteiro, Helma DC Schwenen, Lars Grontved, Elizabeth Wederell, Susanne Mandrup, Reiner A Veitia, Harini Chakravarthy, Pamela A Hoodless, M Michela Mancarelli, Bruce E Torbett, Alison H Banham, Sekhar P Reddy, Rebecca L Cullum, Michaela Liedtke, Mario P Tschan, Michelle Vaz, Angie Rizzino, Mariastella Zannini, Seth Frietze, Peggy J Farnham, Astrid Eijkelenboom, Philip J Brown, David Laperrière, Dominique Leprince, Tiziana de Cristofaro, Kelly L Prince, Marrit Putker, Luis del Peso, Gieri Camenisch, Roland H Wenger, Michal Mikula, Marieke Rozendaal, Sylvie Mader, Jerzy Ostrowski, Simon J Rhodes, Capucine Van Rechem, Gaylor Boulay, Sam WZ Olechnowicz, Mary B Breslin, Michael S Lan, Kyster K Nanan, Michael Wegner, Juan Hou, Rachel D Mullen, Stephanie C Colvin, Peter John Noy, Carol F Webb, Matthew E Witek, Scott Ferrell, Juliet M Daniel, Jason Park, Scott A Waldman, Daniel J Peet, Michael Taggart, Padma-Sheela Jayaraman, Julien J Karrich, Bianca Blom, Farhad Vesuna, Henriette O’Geen, Yunfu Sun, Richard M Gronostajski, Mark W Woodcroft, Margaret R Hough, Edwin Chen, G Nicholas Europe-Finner, Magdalena Karolczak-Bayatti, Jarrod Bailey, Oliver Hankinson, Venu Raman, David P LeBrun, Shyam Biswal, Christopher J Harvey, Jason P DeBruyne, John B Hogenesch, Robert F Hevner, Christophe Héligon, Xin M Luo, Marissa Cathleen Blank, Kathleen Joyce Millen, David S Sharlin, Douglas Forrest, Karin Dahlman-Wright, Chunyan Zhao, Yuriko Mishima, Satrajit Sinha, Rumela Chakrabarti, Elodie Portales-Casamar, Frances M Sladek, Philip H Bradley, Wyeth W Wasserman |
| چکیده / توضیح | Here we present the Transcription Factor Encyclopedia (TFe), a new web-based compendium of mini review articles on transcription factors (TFs) that is founded on the principles of open access and collaboration. Our consortium of over 100 researchers has collectively contributed over 130 mini review articles on pertinent human, mouse and rat TFs. Notable features of the TFe website include a high-quality PDF generator and web API for programmatic data retrieval. TFe aims to rapidly educate scientists about the TFs they encounter through the delivery of succinct summaries written and vetted by experts in the field. TFe is available at http://www.cisreg.ca/tfe. |
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| عنوان اصلی مقاله | Fuzzy logic selection as a new reliable tool to identify molecular grade signatures in breast cancer – the INNODIAG study |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Tatiana Kempowsky-Hamon, Carine Valle, Magali Lacroix-Triki, Lyamine Hedjazi, Lidwine Trouilh, Sophie Lamarre, Delphine Labourdette, Laurence Roger, Loubna Mhamdi, Florence Dalenc, Thomas Filleron, Gilles Favre, Jean-Marie François, Marie-Véronique Le Lann, Véronique Anton-Leberre |
| چکیده / توضیح | Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular profiling. The aims of this study were to develop a new gene selection method based on a fuzzy logic selection and classification algorithm, and to validate the gene signatures obtained on breast cancer patient cohorts. |
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| عنوان اصلی مقاله | Forecasting product returns for remanufacturing systems |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Xavier Liang, Xiaoning Jin, Jun Ni |
| چکیده / توضیح | One of the major challenges that a remanufacturer faces at strategic planning level today is to match its supply (returned items) with demand due to the inherited uncertainties and variations on both sides. Forecasting product returns is one of the most important tasks of this matching process. Unlike forecasting for traditional manufacturing systems, both quantity and quality forecasts are critical since return timing, quantity, and the quality of returned products can all vary dramatically. This research develops a forecasting method which incorporates knowledge from related sales, product usage, customer return behavior, and product life expectancy information to provide a more accurate prediction of product returns. The models are validated using Monte Carlo simulations. Numerical cases are also presented to illustrate its usage and some important insights. |
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| عنوان اصلی مقاله | Systems biology approaches for advancing the discovery of effective drug combinations |
| نوع مقاله | مقاله ژورنال |
| نویسندگان | Karen A Ryall, Aik Choon Tan |
| چکیده / توضیح | Complex diseases like cancer are regulated by large, interconnected networks with many pathways affecting cell proliferation, invasion, and drug resistance. However, current cancer therapy predominantly relies on the reductionist approach of one gene-one disease. Combinations of drugs may overcome drug resistance by limiting mutations and induction of escape pathways, but given the enormous number of possible drug combinations, strategies to reduce the search space and prioritize experiments are needed. In this review, we focus on the use of computational modeling, bioinformatics and high-throughput experimental methods for discovery of drug combinations. We highlight cutting-edge systems approaches, including large-scale modeling of cell signaling networks, network motif analysis, statistical association-based models, identifying correlations in gene signatures, functional genomics, and high-throughput combination screens. We also present a list of publicly available data and resources to aid in discovery of drug combinations. Integration of these systems approaches will enable faster discovery and translation of clinically relevant drug combinations. |
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