Results 31 to 40 of about 1,264,517 (335)

The Spatial Clustering of ROSAT All-Sky Survey AGN: I. The cross-correlation function with SDSS Luminous Red Galaxies

, 2010
We investigate the clustering properties of ~1550 broad-line active galactic nuclei (AGNs) at =0.25 detected in the ROSAT All-Sky Survey (RASS) through their measured cross-correlation function with ~46,000 Luminous Red Galaxies (LRGs) in the Sloan ...
Abazajian, Abazajian, Abazajian, Adelman-McCarthy, Alison L. Coil, Anderson, Anderson, Blanton, Blanton, Blanton, Coil, Coil, Coil, Coil, Conroy, Covey, Eisenstein, Ferrarese, Gebhardt, Grazian, Hickox, Kaiser, Mirko Krumpe, Miyaji, Mullis, Park, Peebles, Predehl, Ross, Shen, Spergel, Strauss, Takamitsu Miyaji, Voges, Voges, Wake, Willmer, Yang, York, Zehavi, Zehavi, Zehavi   +41 more
core   +1 more source

Molecular Methods for Rare Hemoglobinopathy Cases: First Brazilian Report of Pediatric Siblings with Hb O‐Arab and Alpha‐Thalassemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hemoglobinopathies are prevalent globally; diagnosis is complex in high genetic admixture populations like Brazil. We report, in two pediatric siblings, the first documented cases in Brazil of heterozygosity for hemoglobin (Hb) O‐Arab with coinheritance of α‐thalassemia (αα/−α4.2; −α3.7/−α4.2), resulting in microcytic and hypochromic anemia ...
Elisângela de Souza Miranda Muynarsk, Amanda Cristina Meneguetti Berti, Bárbara Braga Vieira Marques, Victoria Simões Bernardo, Flaviene Felix Torres, Ingrid Souza Dias, Vanessa da Silveira Ramos de Castro, Gabriela Alves Bernardino, Danilo Grünig Humberto da Silva, Edis Belini‐Júnior   +9 more
wiley   +1 more source

A census of $\rho$ Oph candidate members from Gaia DR2

, 2019
The Ophiuchus cloud complex is one of the best laboratories to study the earlier stages of the stellar and protoplanetary disc evolution. The wealth of accurate astrometric measurements contained in the Gaia Data Release 2 can be used to update the ...
Bombrun, A., Cantero, C., Cieza, L., Cánovas, H., Lammers, U., Merín, B., Mora, A., Ribas, Á., Ruíz-Rodríguez, D.   +8 more
core   +1 more source

Novel Genetic Risk Factor Identified for L‐Asparaginase‐Induced Pancreatitis in Pediatric Patients With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack, Wan‐Chun Chang, Miguel Cordova‐Delgado, Spencer J. Anderson, Jessica N. Trueman, Erika N. Scott, Catrina M. Loucks, Shahrad R. Rassekh, Gabriella S. S. Groeneweg, Michelle Higginson, Kathy Li, Fudan Miao, Derek Yau, Donna Johnston, Mounira Ibrahim, Maja Krajinovic, Thai Hoa Tran, Jessica Tewfik, Jean‐François Bussières, Thaïna‐Rafi Jean‐Baptiste, Denis Lebel, Lucie Pecheux, Bina Gyawali, Gregory Guilcher, Gesche Riabowol, Geert ’t Jong, Michelle Staub, Geoff Cuvelier, Kathleen Felton, Sara Khalaj, Michael Rieder, Awatif Abuzgaia, Tamorah Lewis, Himal Ghimire, Paul Nathan, Kerry Goralski, Ketan Kulkarni, Zara Forbrigger, Colin J. D. Ross, Bruce C. Carleton   +39 more
wiley   +1 more source

A dynamic core evolutionary clustering algorithm based on saturated memory

Autonomous Intelligent Systems, 2023
Because the number of clustering cores needs to be set before implementing the K-means algorithm, this type of algorithm often fails in applications with increasing data and changing distribution characteristics.
Haibin Xie, Peng Li, Zhiyong Ding
doaj   +1 more source

Clustering of Radio Galaxies and Quasars [PDF]

, 2009
We compute the cross-correlation between a sample of 14,000 radio-loud AGN (RLAGN) with redshifts between 0.4 and 0.8 selected from the Sloan Digital Sky Survey and a reference sample of 1.2 million luminous red galaxies in the same redshift range.
Antonucci, Barr, Barthel, Barthel, Becker, Best, Best, Best, Blanton, Boroson, Bower, Bruzual, Böhringer, Cannon, Cheng Li, Coil, Collister, Collister, Condon, Croom, Croton, Davis, DaÂngela, Donoso, Dunlop, E. Donoso, Fabian, Fanaroff, Franceschini, G. Kauffmann, Hamilton, Hardcastle, Hardcastle, Hardcastle, Heckman, Hickox, Hill, Hine, Ho, Häring, Jackson, Kauffmann, Kauffmann, Kellermann, Lacy, Laing, Lawrence, Ledlow, Li, Li, Li, Mandelbaum, McNamara, Merloni, Metacalf, Miley, P. N. Best, Padmanabhan, Peebles, Pentericci, Porciani, Prestage, Richards, Schneider, Shen, Shen, Sheth, Simpson, Smith, Snellen, Somerville, Stocke, Stoughton, T. M. Heckman, Urry, Wake, Wold, Yates, York   +78 more
core   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Federated Pseudo-Sample Clustering Algorithm: A Label-Personalized Federated Learning Scheme Based on Image Clustering

Applied Sciences
In the realm of personalized federated learning, some current methods substitute shared parameters with shared samples created by Generative Adversarial Networks (GANs).
Shihao Song, Xiaoyan Liang
doaj   +1 more source

Representation Learning for Clustering: A Statistical Framework [PDF]

, 2015
We address the problem of communicating domain knowledge from a user to the designer of a clustering algorithm. We propose a protocol in which the user provides a clustering of a relatively small random sample of a data set.
Ashtiani, Hassan, Ben-David, Shai
core