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Articles 1021 - 1036 of 1036
Full-Text Articles in Physical Sciences and Mathematics
Clustering With Exclusion Zones: Genomic Applications, Mark Segal, Yuanyuan Xiao, Fred Huffer
Clustering With Exclusion Zones: Genomic Applications, Mark Segal, Yuanyuan Xiao, Fred Huffer
Mark R Segal
Methods for formally evaluating the clustering of events in space or time, notably the scan statistic, have been richly developed and widely applied. In order to utilize the scan statistic and related approaches, it is necessary to know the extent of the spatial or temporal domains wherein the events arise. Implicit in their usage is that these domains have no “holes”—hereafter “exclusion zones”—regions in which events a priori cannot occur. However, in many contexts, this requirement is not met. When the exclusion zones are known, it is straightforward to correct the scan statistic for their occurrence by simply adjusting the …
Differentiable Cortical Networks For Inferences Concerning People’S Intentions Versus Physical Causality, Robert Mason, Marcel Just
Differentiable Cortical Networks For Inferences Concerning People’S Intentions Versus Physical Causality, Robert Mason, Marcel Just
Marcel Adam Just
No abstract provided.
Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham
Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham
Lei Huang
Functional connectivity of an individual human brain is often studied by acquiring a resting state functional magnetic resonance imaging scan, and mapping the correlation of each voxel's BOLD time series with that of a seed region. As large collections of such maps become available, including multisite data sets, there is an increasing need for ways to distill the information in these maps in a readily visualized form. Here we propose a two-step analytic strategy. First, we construct connectivity-distance profiles, which summarize the connectivity of each voxel in the brain as a function of distance from the seed, a functional relationship …
Autonomy Of Lower-Level Perception From Global Processing In Autism: Evidence From Brain Activation And Functional Connectivity, Yanni Liu, Vladimir L. Cherkassky, Nancy J. Minshew, Marcel Adam Just
Autonomy Of Lower-Level Perception From Global Processing In Autism: Evidence From Brain Activation And Functional Connectivity, Yanni Liu, Vladimir L. Cherkassky, Nancy J. Minshew, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Inter-Regional Brain Communication And Its Disturbance In Autism, Sarah E. Schipul, Timothy A. Keller, Marcel Adam Just
Inter-Regional Brain Communication And Its Disturbance In Autism, Sarah E. Schipul, Timothy A. Keller, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Quantitative Modeling Of The Neural Representation Of Objects: How Semantic Feature Norms Can Account For Fmri Activation, Kai-Min Kevin Chang, Tom Mitchell, Marcel Adam Just
Quantitative Modeling Of The Neural Representation Of Objects: How Semantic Feature Norms Can Account For Fmri Activation, Kai-Min Kevin Chang, Tom Mitchell, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Individual Differences In The Neural Basis Of Causal Inferencing, Chantel S. Prat, Robert A. Mason, Marcel Adam Just
Individual Differences In The Neural Basis Of Causal Inferencing, Chantel S. Prat, Robert A. Mason, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Commonality Of Neural Representations Of Words And Pictures, Svetlana V. Shinkareva, Vincente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just
Commonality Of Neural Representations Of Words And Pictures, Svetlana V. Shinkareva, Vincente L. Malave, Robert A. Mason, Tom M. Mitchell, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Mountain Treelines: A Roadmap For Research Orientation, George P. Malanson
Mountain Treelines: A Roadmap For Research Orientation, George P. Malanson
George P Malanson
For over 100 years, mountain treelines have been the subject of varied research endeavors and remain a strong area of investigation. The purpose of this paper is to examine aspects of the epistemology of mountain treeline research—that is, to investigate how knowledge on treelines has been acquired and the changes in knowledge acquisition over time, through a review of fundamental questions and approaches. The questions treeline researchers have raised and continue to raise have undoubtedly directed the current state of knowledge. A continuing, fundamental emphasis has centered on seeking the general cause of mountain treelines, thus seeking an answer to …
The Neural Basis Of Deictic Shifting In Linguistic Perspective-Taking In High-Functioning Autism, Akiko Mizuno, Yanni Liu, Diane L. Williams, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just
The Neural Basis Of Deictic Shifting In Linguistic Perspective-Taking In High-Functioning Autism, Akiko Mizuno, Yanni Liu, Diane L. Williams, Timothy A. Keller, Nancy J. Minshew, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Exploring The Neural Dynamics Underpinning Individual Differences In Sentence Comprehension, Chantel S. Prat, Marcel Adam Just
Exploring The Neural Dynamics Underpinning Individual Differences In Sentence Comprehension, Chantel S. Prat, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Table Of Contents, David D. Nolte
Table Of Contents, David D. Nolte
David D Nolte
Closing The Loop: Involving Faculty In The Assessment Of Scientific And Quantitative Reasoning Skills Of Biology Majors, C. A. Hurney, J. Brown, H. P. Griscom, E. Kancler, C. J. Wigtil, Donna L. Sundre
Closing The Loop: Involving Faculty In The Assessment Of Scientific And Quantitative Reasoning Skills Of Biology Majors, C. A. Hurney, J. Brown, H. P. Griscom, E. Kancler, C. J. Wigtil, Donna L. Sundre
Donna L. Sundre
No abstract provided.
Epoxi: Comet 103p/Hartley 2 Observations From A Worldwide Campaign ; Astrophysical Journal Letters, K. J. Meech, M. F. A'Hearn, J. A. Adams, P. Bacci, J. Bai, L. Barrera, M. Battelino, J. M. Bauer, E. Becklin, B. Bhatt, N. Biver, D. Bockelee-Morvan, D. Bodewits, H. Bohnhardt, J. Boissier, B. P. Bonev, W. Borghini, J. R. Brucato, E. Bryssinck, M. W. Buie, H. Canovas, D. Castellano, S. B. Charnley, W. P. Chen, P. Chiang, Y. J. Choi, D. J. Christian, Y. L. Chuang, Anita L. Cochran, P. Colom, M. R. Combi, I. M. Coulson, J. Crovisier, N. Dello Russo, K. Dennerl, K. Dewahl, M. A. Disanti, M. Facchini, T. L. Farnham, Y. Fernandez, H. G. Floren, U. Frisk, T. Fujiyoshi, R. Furusho, T. Fuse, G. Galli, D. A. Garcia-Hernandez, A. Gersch, Z. Getu
Epoxi: Comet 103p/Hartley 2 Observations From A Worldwide Campaign ; Astrophysical Journal Letters, K. J. Meech, M. F. A'Hearn, J. A. Adams, P. Bacci, J. Bai, L. Barrera, M. Battelino, J. M. Bauer, E. Becklin, B. Bhatt, N. Biver, D. Bockelee-Morvan, D. Bodewits, H. Bohnhardt, J. Boissier, B. P. Bonev, W. Borghini, J. R. Brucato, E. Bryssinck, M. W. Buie, H. Canovas, D. Castellano, S. B. Charnley, W. P. Chen, P. Chiang, Y. J. Choi, D. J. Christian, Y. L. Chuang, Anita L. Cochran, P. Colom, M. R. Combi, I. M. Coulson, J. Crovisier, N. Dello Russo, K. Dennerl, K. Dewahl, M. A. Disanti, M. Facchini, T. L. Farnham, Y. Fernandez, H. G. Floren, U. Frisk, T. Fujiyoshi, R. Furusho, T. Fuse, G. Galli, D. A. Garcia-Hernandez, A. Gersch, Z. Getu
Erika Gibb
Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham
Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham
Philip T. Reiss
Functional connectivity of an individual human brain is often studied by acquiring a resting state functional magnetic resonance imaging scan, and mapping the correlation of each voxel's BOLD time series with that of a seed region. As large collections of such maps become available, including multisite data sets, there is an increasing need for ways to distill the information in these maps in a readily visualized form. Here we propose a two-step analytic strategy. First, we construct connectivity-distance profiles, which summarize the connectivity of each voxel in the brain as a function of distance from the seed, a functional relationship …
Predicting Flavonoid Ugt Regioselectivity, Arthur R. Jackson, Debra Knisley, Cecilia Mcintosh, Phillip Pfeiffer