检索结果-内蒙古大学图书馆

Promiscuous gating modifiers target the voltage sensor of K_v7.2, TRPV1, and H_v1 cation channels

FASEB JOURNAL 2014年第6期28卷 2591-2602页

作者： Kornilov, Polina Peretz, Asher Lee, Yoonji Son, Karam Lee, Jin Hee Refaeli, Bosmat Roz, Netta Rehavi, Moshe Choi, Sun Attali, Bernard Tel Aviv Univ Sackler Fac Med Dept Physiol & Pharmacol Tel Aviv Israel Ewha Womans Univ Coll Pharm Grad Sch Pharmaceut Sci Natl Leading Res Lab Mol Modeling & Drug Design Seoul South Korea Ewha Womans Univ Global Top Res Program 5 Seoul South Korea

Some of the fascinating features of voltage-sensing domains (VSDs) in voltage-gated cation channels (VGCCs) are their modular nature and adaptability. Here we examined the VSD sensitivity of different VGCCs to 2 structurally related nontoxin gating modifiers, NH17 and NH29, which stabilize K(v)7.2 potassium channels in the closed and open states, respectively. The effects of NH17 and NH29 were examined in Chinese hamster ovary cells transfected with transient receptor potential vanilloid 1 (TRPV1) or K(v)7.2 channels, as well as in dorsal root ganglia neurons, using the whole-cell patch-clamp technique. NH17 and NH29 exert opposite effects on TRPV1 channels, operating, respectively, as an activator and a blocker of TRPV1 currents (EC50 and IC50 values ranging from 4 to 40 mu M). Combined mutagenesis, electrophysiology, structural homology modeling, molecular docking, and molecular dynamics simulation indicate that both compounds target the VSDs of TRPV1 channels, which, like vanilloids, are involved in pi-pi stacking, H-bonding, and hydrophobic interactions. Reflecting their promiscuity, the drugs also affect the lone VSD proton channel mV-SOP. Thus, the same gating modifier can promiscuously interact with different VGCCs, and subtle differences at the VSD-ligand interface will dictate whether the gating modifier stabilizes channels in either the closed or the open state.

关键词： vanilloid capsaicin KCNQ

来源：评论

学校读者我要写书评

暂无评论

The Explicit Green's Approach with stability enhancement for solving the bioheat transfer equation

引用

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2014年 76卷 393-404页

作者： Loureiro, F. S. Mansur, W. J. Wrobel, L. C. Silva, J. E. A. Univ Fed Juiz de Fora Dept Comp Sci BR-36036330 Juiz De Fora MG Brazil Univ Fed Rio de Janeiro COPPE Dept Civil Engn BR-21945970 Rio De Janeiro RJ Brazil Brunel Univ Sch Engn & Design London UB8 3PH England Univ Fed Juiz de Fora Postgrad Program Computat Modeling BR-36036330 Juiz De Fora MG Brazil

The aim of this paper is to propose a strategy for performing a stability enhancement into the Explicit Green's Approach (ExGA) method applied to the bioheat transfer equation. The ExGA method is a time-stepping technique that uses numerical Green's functions in the time domain;these functions are here computed by the FEM. Basically, a new two nonequal time substeps procedure is proposed to compute Green's functions at the first time step. This is accomplished by adopting the standard explicit Euler scheme and an optimized procedure to yield the best stability constraint, allowing a reduction into the number of time steps without loss of accuracy. In addition, the concept of local numerical Green's functions is introduced and explored aiming at reducing the computational effort of nodal Green's functions calculation. Two examples are presented in order to show the potentialities of the proposed methodology, one to illustrate the accuracy and another applied to skin burn simulations. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Numerical Green's functions FEM Time substeps Pennes bioheat equation Time integration Skin burns

来源：评论

学校读者我要写书评

暂无评论

The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

引用

SCIENTIFIC DATA 2020年第1期7卷 1-27页

作者： Pastorello, Gilberto Trotta, Carlo Canfora, Eleonora Chu, Housen Christianson, Danielle Cheah, You-Wei Poindexter, Cristina Chen, Jiquan Elbashandy, Abdelrahman Humphrey, Marty Isaac, Peter Polidori, Diego Ribeca, Alessio van Ingen, Catharine Zhang, Leiming Amiro, Brian Ammann, Christof Arain, M. Altaf Ardo, Jonas Arkebauer, Timothy Arndt, Stefan K. Arriga, Nicola Aubinet, Marc Aurela, Mika Baldocchi, Dennis Barr, Alan Beamesderfer, Eric Marchesini, Luca Belelli Bergeron, Onil Beringer, Jason Bernhofer, Christian Berveiller, Daniel Billesbach, Dave Black, Thomas Andrew Blanken, Peter D. Bohrer, Gil Boike, Julia Bolstad, Paul V. Bonal, Damien Bonnefond, Jean-Marc Bowling, David R. Bracho, Rosvel Brodeur, Jason Bruemmer, Christian Buchmann, Nina Burban, Benoit Burns, Sean P. Buysse, Pauline Cale, Peter Cavagna, Mauro Cellier, Pierre Chen, Shiping Chini, Isaac Christensen, Torben R. Cleverly, James Collalti, Alessio Consalvo, Claudia Cook, Bruce D. Cook, David Coursolle, Carole Cremonese, Edoardo Curtis, Peter S. D'Andrea, Ettore da Rocha, Humberto Dai, Xiaoqin Davis, Kenneth J. De Cinti, Bruno de Grandcourt, Agnes De Ligne, Anne De Oliveira, Raimundo C. Delpierre, Nicolas Desai, Ankur R. Di Bella, Carlos Marcelo di Tommasi, Paul Dolman, Han Domingo, Francisco Dong, Gang Dore, Sabina Duce, Pierpaolo Dufrene, Eric Dunn, Allison Dusek, Jiri Eamus, Derek Eichelmann, Uwe ElKhidir, Hatim Abdalla M. Eugster, Werner Ewenz, Cacilia M. Ewers, Brent Famulari, Daniela Fares, Silvano Feigenwinter, Iris Feitz, Andrew Fensholt, Rasmus Filippa, Gianluca Fischer, Marc Frank, John Galvagno, Marta Gharun, Mana Gianelle, Damiano Gielen, Bert Gioli, Beniamino Gitelson, Anatoly Goded, Ignacio Goeckede, Mathias Goldstein, Allen H. Gough, Christopher M. Goulden, Michael L. Graf, Alexander Griebel, Anne Gruening, Carsten Gruenwald, Thomas Hammerle, Albin Han, Shijie Han, Xingguo Hansen, Birger Ulf Hanson, Chad Hatakka, Juha He, Yongtao Hehn, Markus Heinesch, Bernard Hinko-Najera, Nina Hoertnagl, Lukas Hutley, Lindsay Ibrom, Andreas Ikawa, Lawrence Berkeley Natl Lab Computat Res Div Berkeley CA 94720 USA Univ Tuscia DIBAF I-01100 Viterbo Italy Climate Change Fdn CMCC Euro Mediterranean Ctr I-73100 Lecce Italy Lawrence Berkeley Natl Lab Climate & Ecosyst Sci Div Berkeley CA 94720 USA Calif State Univ Sacramento Dept Civil Engn Sacramento CA 95819 USA Michigan State Univ Dept Geog Environm & Spatial Sci E Lansing MI 48823 USA Univ Virginia Dept Comp Sci Charlottesville VA 22904 USA TERN Ecosyst Proc Menzies Creek Vic 3259 Australia Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China Univ Manitoba Dept Soil Sci Winnipeg MB R3T2N2 Canada Agroscope Res Inst Dept Agroecol & Environm CH-8046 Zurich Switzerland McMaster Univ Sch Geog & Earth Sci Hamilton ON L8S4K1V Canada Lund Univ Dept Phys Geog & Ecosyst Sci S-22362 Lund Sweden Univ Nebraska Dept Agron & Hort Lincoln NE 68583 USA Univ Melbourne Sch Ecosyst & Forest Sci Richmond Vic 3121 Australia Univ Antwerp Res Grp PLECO Dept Biol B-2610 Antwerp Belgium European Commiss Joint Res Ctr I-21027 Ispra Italy Univ Liege TERRA Teaching & Res Ctr B-5030 Gembloux Belgium Finnish Meteorol Inst Helsinki 00560 Finland Univ Calif Berkeley ESPM Berkeley CA 94720 USA Univ Saskatchewan Global Inst Water Secur Saskatoon SK S7N3H5 Canada Environm & Climate Change Canada Climate Res Div Saskatoon SK S7N3H5 Canada Fdn Edmund Mach Res & Innovat Ctr Dept Sustainable Agroecosyst & Bioresources I-38010 San Michele All Adige Italy RUDN Univ Agr Technol Inst Dept Landscape Design & Sustainable Ecosyst Moscow 117198 Russia Minist Dev Durable Environm & Lutte Changements C Direct Marche Carbone Quebec City PQ G1R5V7 Canada Univ Western Australia Sch Agr & Environm Crawley 6009 Australia Tech Univ Dresden Inst Hydrol & Meteorol D-01737 Tharandt Germany Univ Paris Saclay CNRS AgroParisTech Ecol Systemat & Evolut F-91405 Orsay France Univ Nebraska Biol Syst Engn Li

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

关键词：

来源：评论

学校读者我要写书评

暂无评论

2-Aryl substituted pyridine C-region analogues of 2-(3-fluoro-4-methylsulfonylaminophenyl)propanamides as highly potent TRPV1 antagonists

引用

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS 2014年第16期24卷 4044-4047页

作者： Ryu, HyungChul Seo, Sejin Kim, Myeong Seop Kim, Mi-Yeon Kim, Ho Shin Ann, Jihyae Phuong-Thao Tran Van-Hai Hoang Byun, Jieun Cui, Minghua Son, Karam Sharma, Pankaz Kumar Choi, Sun Blumberg, Peter M. Frank-Foltyn, Robert Bahrenberg, Gregor Koegel, Babette-Yvonne Christoph, Thomas Frormann, Sven Lee, Jeewoo Seoul Natl Univ Coll Pharm Pharmaceut Sci Res Inst Med Chem Lab Seoul 151742 South Korea Ewha Womans Univ Natl Leading Res Lab Mol Modeling & Drug Design Coll Pharm Grad Sch Pharmaceut Sci Seoul 120750 South Korea Ewha Womans Univ Global Top Res Program 5 Seoul 120750 South Korea NCI Lab Canc Biol & Genet Ctr Canc Res NIH Bethesda MD 20892 USA Grunenthal GmbH Grunenthal Innovat D-52078 Aachen Germany

A series of 2-aryl pyridine C-region derivatives of 2-(3-fluoro-4-methylsulfonylaminophenyl)propanamides were investigated as hTRPV1 antagonists. Multiple compounds showed highly potent TRPV1 antagonism toward capsaicin comparable to previous lead 7. Among them, compound 9 demonstrated anti-allodynia in a mouse neuropathic pain model and blocked capsaicin-induced hypothermia in a dose-dependent manner. Docking analysis of 9 with our hTRPV1 homology model provided insight into its specific binding mode. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Vanilloid receptor 1 TRPV1 antagonist Capsaicin Resiniferatoxin Molecular modeling

来源：评论

学校读者我要写书评

暂无评论

Asymmetric synthesis and receptor activity of chiral simplified resiniferatoxin (sRTX) analogues as transient receptor potential vanilloid 1 (TRPV1) ligands

引用

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS 2014年第1期24卷 382-385页

作者： Kim, Myeong Seop Ki, Yooran Ahn, Song Yeon Yoon, Suyoung Kim, Sung-Eun Park, Hyeung-Geun Sun, Wei Son, Karam Cui, Minghua Choi, Sun Pearce, Larry V. Esch, Timothy E. DeAndrea-Lazarus, Ian A. Blumberg, Peter M. Lee, Jeewoo Seoul Natl Univ Coll Pharm Pharmaceut Sci Res Inst Seoul 151742 South Korea Shenyang Pharmaceut Univ Shenyang 110016 Liaoning Peoples R China Ewha Womans Univ Grad Sch Pharmaceut Sci Coll Pharm Natl Leading Res Lab Mol Modeling & Drug Design Seoul 120750 South Korea Ewha Womans Univ Global Top Res Program 5 Seoul 120750 South Korea NCI Lab Canc Biol & Genet Ctr Canc Res NIH Bethesda MD 20892 USA

The chiral isomers of the two potent simplified RTX-based vanilloids, compounds 2 and 3, were synthesized employing highly enantioselective PTC alkylation and evaluated as hTRPV1 ligands. The analysis indicated that the R-isomer was the eutomer in binding affinity and functional activity. The agonism of compound 2R was comparable to that of RTX. Docking analysis of the chiral isomers of 3 suggested the basis for its stereospecific activity and the binding mode of 3R. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Vanilloid receptor 1 TRPV1 antagonist Capsaicin Resiniferatoxin Molecular modeling

来源：评论

学校读者我要写书评

暂无评论

2-Alkyl/alkenyl substituted pyridine C-region analogues of 2-(3-fluoro-4-methylsulfonylaminophenyl)propanamides as highly potent TRPV1 antagonists

引用

BIOORGANIC & MEDICINAL CHEMISTRY LETTERS 2014年第16期24卷 4039-4043页

作者： Ryu, HyungChul Seo, Sejin Cho, Seong-Hee Kim, Ho Shin Jung, Aeran Kang, Dong Wook Son, Karam Cui, Minghua Hong, Sun-Hye Sharma, Pankaz Kumar Choi, Sun Blumberg, Peter M. Frank-Foltyn, Robert Bahrenberg, Gregor Stockhausen, Hannelore Schiene, Klaus Christoph, Thomas Frormann, Sven Lee, Jeewoo Seoul Natl Univ Coll Pharm Pharmaceut Sci Res Inst Med Chem Lab Seoul 151742 South Korea Ewha Womans Univ Natl Leading Res Lab Mol Modeling & Drug Design Coll Pharm Sch Pharmaceut Sci Seoul 120750 South Korea Ewha Womans Univ Global Top Res Program 5 Seoul 120750 South Korea NCI Lab Canc Biol & Genet Ctr Canc Res NIH Bethesda MD 20892 USA Grunenthal GmbH Grunenthal Innovat D-52078 Aachen Germany Catholic Univ Deagu Coll Hlth & Med Sci Dept Pharmaceut Sci & Technol Gyongsan 712702 Gyeongsangbuk D South Korea

A series of 2-alkyl/alkenyl pyridine C-region derivatives of 2-(3-fluoro-4-methylsulfonylaminophenyl)propanamides were investigated as hTRPV1 antagonists. Multiple compounds showed excellent and stereospecific TRPV1 antagonism with better potency than previous lead 2. Among them, compound 15f demonstrated a strong analgesic profile in a rat neuropathic pain model and blocked capsaicin-induced hypothermia in a dose-dependent manner. Docking analysis of (S)-15f with our hTRPV1 homology model provided insight into its specific binding mode. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Vanilloid receptor 1 TRPV1 antagonist Capsaicin Resiniferatoxin Molecular modeling

来源：评论

学校读者我要写书评

暂无评论

Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

引用

Scientific data 2021年第1期8卷 72页

作者： Gilberto Pastorello Carlo Trotta Eleonora Canfora Housen Chu Danielle Christianson You-Wei Cheah Cristina Poindexter Jiquan Chen Abdelrahman Elbashandy Marty Humphrey Peter Isaac Diego Polidori Markus Reichstein Alessio Ribeca Catharine van Ingen Nicolas Vuichard Leiming Zhang Brian Amiro Christof Ammann M Altaf Arain Jonas Ardö Timothy Arkebauer Stefan K Arndt Nicola Arriga Marc Aubinet Mika Aurela Dennis Baldocchi Alan Barr Eric Beamesderfer Luca Belelli Marchesini Onil Bergeron Jason Beringer Christian Bernhofer Daniel Berveiller Dave Billesbach Thomas Andrew Black Peter D Blanken Gil Bohrer Julia Boike Paul V Bolstad Damien Bonal Jean-Marc Bonnefond David R Bowling Rosvel Bracho Jason Brodeur Christian Brümmer Nina Buchmann Benoit Burban Sean P Burns Pauline Buysse Peter Cale Mauro Cavagna Pierre Cellier Shiping Chen Isaac Chini Torben R Christensen James Cleverly Alessio Collalti Claudia Consalvo Bruce D Cook David Cook Carole Coursolle Edoardo Cremonese Peter S Curtis Ettore D'Andrea Humberto da Rocha Xiaoqin Dai Kenneth J Davis Bruno De Cinti Agnes de Grandcourt Anne De Ligne Raimundo C De Oliveira Nicolas Delpierre Ankur R Desai Carlos Marcelo Di Bella Paul di Tommasi Han Dolman Francisco Domingo Gang Dong Sabina Dore Pierpaolo Duce Eric Dufrêne Allison Dunn Jiří Dušek Derek Eamus Uwe Eichelmann Hatim Abdalla M ElKhidir Werner Eugster Cacilia M Ewenz Brent Ewers Daniela Famulari Silvano Fares Iris Feigenwinter Andrew Feitz Rasmus Fensholt Gianluca Filippa Marc Fischer John Frank Marta Galvagno Mana Gharun Damiano Gianelle Bert Gielen Beniamino Gioli Anatoly Gitelson Ignacio Goded Mathias Goeckede Allen H Goldstein Christopher M Gough Michael L Goulden Alexander Graf Anne Griebel Carsten Gruening Thomas Grünwald Albin Hammerle Shijie Han Xingguo Han Birger Ulf Hansen Chad Hanson Juha Hatakka Yongtao He Markus Hehn Bernard Heinesch Nina Hinko-Najera Lukas Hörtnagl Lindsay Hutley Andreas Ibrom Hiroki Ikawa Marcin Jackowicz-Korczynski Dalibor Janouš Wilma Jans Rachhpal Jassal Shicheng Jiang Tomomichi Kato Myr Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. gzpastorello@lbl.gov. DIBAF University of Tuscia Viterbo 01100 Italy. Euro-Mediterranean Centre on Climate Change Foundation (CMCC) Lecce 73100 Italy. Climate & Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Computational Research Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Department of Civil Engineering California State University Sacramento CA 95819 USA. Department of Geography Environment and Spatial Sciences Michigan State University East Lansing MI 48823 USA. Department of Computer Science University of Virginia Charlottesville VA 22904 USA. TERN Ecosystem Processes Menzies Creek VIC3159 Australia. Max Planck Institute for Biogeochemistry Jena 07701 Germany. Laboratoire des Sciences du Climat et de l'Environnement (LSCE) CEA CNRS UVSQ UPSACLAY Gif sur Yvette 91190 France. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China. Department of Soil Science University of Manitoba Winnipeg MB R3T2N2 Canada. Department of Agroecology and Environment Agroscope Research Institute Zürich 8046 Switzerland. School of Geography and Earth Sciences McMaster University L8S4K1 Hamilton ON Canada. Department of Physical Geography and Ecosystem Science Lund University Lund 22362 Sweden. Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln NE 68583 USA. School of Ecosystem and Forest Sciences The University of Melbourne Richmond VIC3121 Australia. Department of Biology Research Group PLECO University of Antwerp Antwerp 2610 Belgium. Joint Research Centre European Commission Ispra 21027 Italy. TERRA Teaching and Research Center University of Liege Gembloux B-5030 Belgium. Finnish Meteorological Institute Helsinki 00560 Finland. ES

来源：评论

学校读者我要写书评

暂无评论

11th German Conference on Chemoinformatics (GCC 2015) Abstracts

引用

JOURNAL OF CHEMINFORMATICS 2016年第SUPPL 1期8卷 1-27页

作者： [Anonymous] GDCh-CIC Division Associated Board Member Beilstein-Institut zur Förderung der Chemischen Wissenschaften Trakehner Str. 7-9 60487 Frankfurt Germany. ufechner@beilstein-institut.de. Division Medicinal Chemistry Amsterdam Institute for Molecules Medicines and Systems (AIMMS) VU University Amsterdam The Netherlands. Centre for Bioinformatics Uni Hamburg Bundesstr. 43 20146 Hamburg Germany. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. stefan.guessregen@***. Sanofi-Aventis Deutschland GmbH 65926 Frankfurt am Main Germany. GlaxoSmithKline Stevenage SG1 2NY UK. nicola.j.richmond@***. Discngine Paris 75011 France. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. marwin.segler@wwu.de. Organisch-Chemisches Institut Westfälische Wilhelms-Universität Münster Germany. Bundeskriminalamt Wiesbaden Central Analytics II 65173 Wiesbaden Germany. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. shea@chem.ucsb.edu. Department of Chemistry and Biochemistry University of California Santa Barbara CA 93111 USA. Chemistry Department Ludwig-Maximilians-Universität München Butenandtstr. 7 81377 Munich Germany. Inorganic Chemistry and Center for Nanointegration University of Duisburg-Essen Essen Germany. CAM-D Technologies Essen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. Institute for Bioinformatics and Chemoinformatics Westphalian University of Applied Sciences Recklinghausen Germany. achim.zielesny@w-hs.de. Leiden University Leiden Netherlands. j.fraaije@chem.leidenuniv.nl. Culgi BV Berlin Germany. Physikalische Chemie III TU Dortmund 44227 Dortmund Germany. stefan.kast@tu-dortmund.de. Centre for Molecular Informatics Department of Chemistry University of Cambridge Lensfield Road Cambridge CB2 1EW United Kingdom. kcb27@cam.ac.uk. Centre for Molecular Informatics Department of Chemistry

来源：评论

学校读者我要写书评

暂无评论

Characterizing teardrop invasion in horizontal wells in the presence of boundaries using LWD directional resistivity measurements 54

Characterizing teardrop invasion in horizontal wells in the ...

引用

SPWLA 54th Annual Logging Symposium 2013

作者： Omeragic, Dzevat Sun, Lin Polyakov, Valery Chen, Yong-Hua Cao, Xiande Habashy, Tarek Vik, Torbjoern Rasmus, John Denichou, Jean-Michel Modeling and Inversion Technologies Program Schlumberger-Doll Research Center CambridgeMA United States Cadence Design System Inc. San JoseCA United States Schlumberger MTC Montpellier France Schlumberger LWD product line in Sugar LandTX United States Schlumberger Drilling and Measurements headquarters Sugar LandTX United States

Present approaches for interpreting the resistivity responses assume circular and symmetric invasion of the formation around the tool axis. However, invasion is influenced by gravity and formation heterogeneity, which can result in complex invasion profiles and make interpretation of log responses difficult. The physics of multiphase fluid flow yields more complex mud-filtrate invasion geometries surrounding high-angle and horizontal wells, making interpretation significantly more challenging than in low deviation wells. We analyzed invasion sensitivities of logging-while-drilling propagation measurements, both directional electromagnetic (EM) and conventional resistivity, with the presence of nearby boundaries in horizontal wells. The combined effect can cause interpretation inconsistencies and can affect accuracy of the inverted distance to boundaries and formation resistivities. The analysis also showed discrepancy between axisymmetric and 3D approximation in azimuthal laterolog responses can be high, implying that their quantitative interpretation must rely on 3D modeling. This approach presents an inversion-based workflow for characterization of asymmetric invasions using the directional EM and azimuthal laterolog tools. The model-based parametric inversion algorithm is used in the sequential workflow based on measurement sensitivities to build interpretation models including invasion and nearby boundaries that are consistent with all data. We apply the workflow to field data. Provided examples demonstrate how asymmetric invasion, if not properly taken into account, can affect estimated distances to nearby boundaries. A research prototype for quantitative invasion interpretation was developed that integrates reservoir geomodeling with the new generation of 2.5D and 3D EM modeling codes, adapted to include complex invasion profiles. Copyright © 2013, held jointly by the Society of Petrophysicists and Well Log Analysts (SPWLA) and the submitting authors.

关键词： Horizontal wells

来源：评论

学校读者我要写书评

暂无评论

Recasting the theory of mosquito-borne pathogen transmission dynamics and control

引用

TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE 2014年第4期108卷 185-197页

作者： Smith, David L. Perkins, T. Alex Reiner, Robert C., Jr. Barker, Christopher M. Niu, Tianchan Chaves, Luis Fernando Ellis, Alicia M. George, Dylan B. Le Menach, Arnaud Pulliam, Juliet R. C. Bisanzio, Donal Buckee, Caroline Chiyaka, Christinah Cummings, Derek A. T. Garcia, Andres J. Gatton, Michelle L. Gething, Peter W. Hartley, David M. Johnston, Geoffrey Klein, Eili Y. Michael, Edwin Lloyd, Alun L. Pigott, David M. Reisen, William K. Ruktanonchai, Nick Singh, Brajendra K. Stoller, Jeremy Tatem, Andrew J. Kitron, Uriel Godfray, H. Charles J. Cohen, Justin M. Hay, Simon I. Scott, Thomas W. Johns Hopkins Univ Bloomberg Sch Publ Hlth Dept Epidemiol Baltimore MD 21218 USA Johns Hopkins Univ Bloomberg Sch Publ Hlth Malaria Res Inst Baltimore MD USA NIH Fogarty Int Ctr Bethesda MD 20892 USA Ctr Dis Dynam Econ & Policy Washington DC USA Univ Calif Davis Dept Entomol & Nematol Davis CA 95616 USA Univ Calif Davis Sch Vet Med Dept Pathol Microbiol & Immunol Davis CA 95616 USA Univ Calif Davis Ctr Vectorborne Dis Davis CA 95616 USA Georgetown Univ Med Ctr Div Integrated Biodefense Washington DC 20007 USA Nagasaki Univ Inst Trop Med NEKKEN Nagasaki 852 Japan Univ Nacl Escuela Med Vet Programa Invest Enfermedades Trop Heredia Costa Rica Dept Def Ft Detrick MD USA US Dept HHS Biomed Adv Res & Dev Author Washington DC 20201 USA Clinton Hlth Access Initiat Boston MA USA Univ Florida Emerging Pathogens Inst Gainesville FL USA Univ Bristol Sch Social & Community Med Bristol Avon England Univ Florida Dept Biol Gainesville FL USA Emory Univ Dept Environm Sci Atlanta GA 30322 USA Harvard Univ Sch Publ Hlth Dept Epidemiol Ctr Communicable Dis Dynam Boston MA 02115 USA Univ Florida Dept Geog Gainesville FL 32611 USA Univ Southampton Dept Geog & Environm Southampton Hants England Queensland Univ Technol Sch Publ Hlth & Social Work Brisbane Qld 4001 Australia Univ Oxford Dept Zool Spatial Ecol & Epidemiol Grp Oxford OX1 3PS England Georgetown Univ Med Ctr Dept Microbiol & Immunol Washington DC 20007 USA Columbia Univ Sch Int & Publ Affairs New York NY USA Columbia Univ Coll Phys & Surg Dept Microbiol & Immunol New York NY 10032 USA Johns Hopkins Univ Dept Emergency Med Ctr Adv Modeling Baltimore MD USA Univ Notre Dame Dept Biol Sci Eck Inst Global Hlth Notre Dame IN 46556 USA Univ London Imperial Coll Sci Technol & Med Dept Infect Dis Epidemiol London England N Carolina State Univ Grad Program Dept Math & Biomath Raleigh NC 27695 USA Stoller Design Associates Culver City CA USA Calif Sci Ctr Los Angeles CA USA Univ Oxfor

Mosquito-borne diseases pose some of the greatest challenges in public health, especially in tropical and sub-tropical regions of the world. Efforts to control these diseases have been underpinned by a theoretical framework developed for malaria by Ross and Macdonald, including models, metrics for measuring transmission, and theory of control that identifies key vulnerabilities in the transmission cycle. That framework, especially Macdonalds formula for R-0 and its entomological derivative, vectorial capacity, are now used to study dynamics and design interventions for many mosquito-borne diseases. A systematic review of 388 models published between 1970 and 2010 found that the vast majority adopted the RossMacdonald assumption of homogeneous transmission in a well-mixed population. Studies comparing models and data question these assumptions and point to the capacity to model heterogeneous, focal transmission as the most important but relatively unexplored component in current theory. Fine-scale heterogeneity causes transmission dynamics to be nonlinear, and poses problems for modeling, epidemiology and measurement. Novel mathematical approaches show how heterogeneity arises from the biology and the landscape on which the processes of mosquito biting and pathogen transmission unfold. Emerging theory focuses attention on the ecological and social context for mosquito blood feeding, the movement of both hosts and mosquitoes, and the relevant spatial scales for measuring transmission and for modeling dynamics and control.

关键词： Dengue Filariasis Malaria Mosquito-borne pathogen transmission Vector control West Nile virus

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：