Results 71 to 80 of about 8,524,151 (285)

Book Review ~ Delivering Digitally: Managing the transition to the knowledge media. Edited by A. Inglis, P. Ling, and V. Joosten

International Review of Research in Open and Distributed Learning, 2002
We know that significant organizational change must have roots both at the top of an organization and “in the trenches” amongst those who must implement the change.
Terry Anderson, Canada Research Chair in Distance Education
doaj  

Discussion of: Brownian distance covariance

, 2010
Discussion on "Brownian distance covariance" by G\'{a}bor J. Sz\'{e}kely and Maria L. Rizzo [arXiv:1010.0297]Comment: Published in at http://dx.doi.org/10.1214/09-AOAS312E the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute ...
Fukumizu, Kenji, Gretton, Arthur, Sriperumbudur, Bharath K.   +2 more
core   +2 more sources

In vitro models of cancer‐associated fibroblast heterogeneity uncover subtype‐specific effects of CRISPR perturbations

Molecular Oncology, EarlyView.
Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra, Shamsudheen Karuthedath Vellarikkal, Lixia Li, Hong Sun, Khoa Nguyen, Amber Montano, Suchitra Natarajan, Federica Piccioni, Alex Michael Tamburino, Xin Yu, Aleksandra Katarzyna Olow   +10 more
wiley   +1 more source

Discussion of: Brownian distance covariance

, 2013
We discuss briefly the very interesting concept of Brownian distance covariance developed by Sz\'{e}kely and Rizzo [Ann. Appl. Statist. (2009), to appear] and describe two possible extensions.
Kosorok, Michael R.
core   +1 more source

Distance-regularised graphs are distance-regular or distance-biregular

Journal of Combinatorial Theory, Series B, 1987
The authors are concerned that the theory of distance-regular graphs does not apply directly to the graphs of generalised polygons. They therefore define a distance-regularised graph to be one in which, for any integer k and any vertices x and y, the number of vertices at distance k from x and adjacent to y only depends on the vertex x and the distance
Godsil, C., Shawe-Taylor, J.
openaire   +4 more sources

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

GHG diffuse emissions estimation, and energy security to ENSO using MERRA-2 for largely hydroelectricity-based system

Revista Facultad de Ingeniería Universidad de Antioquia, 2019
In Colombia, hydropower share was 70 % of the total installed capacity and more than 50 % of the monthly generation share in 2015, which coincided with the strongest El Niño Southern Oscillation (ENSO) phenomenon reported in the region.
Yohen Cuellar, J. S. Chiriví Salomón, Marco Guevara, Harold David Cuadros Tejeda   +3 more
doaj  

Romantic Attachment and Cognitive-Emotional Regulation in Psychological Maladjustment

Clínica y Salud. Investigación Empírica en Psicología
Romantic Attachment and Psychological Maladjustment: The study reveals that romantic attachment is a significant predictor of psychological maladjustment and depression.
Alicia Mena, Begoña Delgado, Miguel A. Carrasco, Francisco P. Holgado-Tello   +3 more
doaj   +1 more source

Ultrametric Distance in Syntax [PDF]

, 1995
Phrase structure trees have a hierarchical structure. In many subjects, most notably in Taxonomy such tree structures have been studied using ultrametrics.
Roberts, Mark D.
core  

Bayesian Distance Clustering

Journal of machine learning research : JMLR, 2018
Model-based clustering is widely-used in a variety of application areas. However, fundamental concerns remain about robustness. In particular, results can be sensitive to the choice of kernel representing the within-cluster data density. Leveraging on properties of pairwise differences between data points, we propose a class of Bayesian distance ...
Duan, Leo L., Dunson, David B.
openaire   +4 more sources