Results 91 to 100 of about 12,093 (210)

A Generalizable Tool for Predicting Developmental Phenology for Wild Ecotherms

Ecology and Evolution, Volume 16, Issue 8, August 2026.
Custom hatch timing models developed for four North American Lithobates frog species. Models are parameterized from Moore (1939). Panels (A, B) shows differential developmental rates under varying thermal regimes and G × E interactions. ABSTRACT Development in poikilothermic organisms is strongly temperature‐dependent, particularly during early life ...
Morgan M. Sparks, Brian C. Leavell, Bryan M. Maitland   +2 more
wiley   +1 more source

Systemic and Local Adiposity in the Bone Marrow Microenvironment Associated With Improved Prognosis in Hodgkin Lymphoma: Imaging and Molecular Analysis

International Journal of Cancer, Volume 159, Issue 3, Page 782-796, 1 August 2026.
Schematic overview of systemic and bone marrow‐specific adiposity in Hodgkin Lymphoma (HL). Body Mass Index was associated with bone marrow (BM) involvement, relapse, and mortality (1). In contrast, increased yellow marrow density was associated with poorer prognosis (2).
Andreia Matos, William P. Cawthorn, Joana Marinho‐Dias, Sofia Ramalheira, Susana Roncon, Dulcineia Pereira, Teresa Ribeiro, Carla Rodrigues, Mário Mariz, Ana Miranda, Helena Brízido, Manuel Bicho, Pedro Medeiros, Ana Carneiro, Fernanda Trigo, Pingzhao Hu, Flávia Pereira, Hugo Duarte, Calum D. Gray, Tom Macgillivray, Alan G. Ramsay, Maria J. Oliveira, Ricardo Ribeiro   +22 more
wiley   +1 more source

Bayesian Model Averaging in Causal Instrumental Variable Models

Journal of Applied Econometrics, Volume 41, Issue 5, Page 669-683, August 2026.
ABSTRACT Instrumental variables are a popular tool to infer causal effects under unobserved confounding, but choosing suitable instruments is challenging in practice. We propose gIVBMA, a Bayesian model averaging procedure that addresses this challenge by averaging across different sets of instrumental variables and covariates in a structural equation ...
Gregor Steiner, Mark Steel
wiley   +1 more source

The troglitazone derivative EP13 disrupts energy metabolism through respiratory chain complex I inhibition in breast cancer cells and potentiates the antiproliferative effect of glycolysis inhibitors

Cancer Cell International
Background The metabolism of cancer cells generally differs from that of normal cells. Indeed, most cancer cells have a high rate of glycolysis, even at normal oxygen concentrations. These metabolic properties can potentially be exploited for therapeutic
Claire Muller, Victorine Lacroix-Malgras, Jérôme Kluza, William Laine, Yonca Güler, Frédéric Bost, Michel Boisbrun, Sabine Mazerbourg, Stéphane Flament   +8 more
doaj   +1 more source

CardiacDP: An R package for rapid automated cardiac data processing, integrating autocorrelation, a genetic algorithm, and a tracking index

Limnology and Oceanography: Methods, Volume 24, Issue 8, August 2026.
Abstract Heart rate is a popular proxy of physiological responses, but the highly complex and variable cardiac data obtained from organisms such as marine invertebrates pose a major challenge to efficient and accurate data processing. To address this, we developed a novel, integrative algorithm for rapid and automated cardiac data processing.
Sarah L. Y. Lau, Adrian T. C. Wong, Yi‐Fei Gu, Tin Yan Hui   +3 more
wiley   +1 more source

Residual diagnostics for assessing closed population capture–recapture models

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2277-2284, August 2026.
Abstract Capture–recapture models provide a statistical framework for estimating demographic parameters from incomplete observation data, where not all individuals in a population are detected during sampling. Assessing the fit of such models is crucial for reliable inference.
Jakub Stoklosa, Bernice Laitly, Pierre Lafaye de Micheaux   +2 more
wiley   +1 more source

Construction and Validation of Plasma Protein‐Based Musculoskeletal Biological Age and Genetic and Environmental Risk Profiles

Aging Cell, Volume 25, Issue 8, August 2026.
We developed plasma protein‐based musculoskeletal aging clocks, MSKAge and MSKAgeMort, using UK Biobank proteomic data, and showed that MSKAgeAccel and MSKAgeMortAccel (in particular) predicted mortality, musculoskeletal disorders, and age‐related diseases effectively.
Yangdan Zhong, Maoyao Xia, Xunying Zhao, Yang Qu, Bowen Lei, Sirui Zhen, Tao Han, Rong Xiang, Jinyu Xiao, Xin Song, Xiaofeng Ma, Bin Yang, Di Zhang, Jinyu Zhou, Zilan Chen, Yuqi Pang, Ye Ju, Ting Liu, Zihao Li, Lu Long, Tao Zhang, Jiayuan Li, Mengyu Fan, Zuyun Liu, Xia Jiang   +24 more
wiley   +1 more source

A Phase 2 Trial of Frexalimab, a CD40L Antagonist, in Adolescents and Adults With Recent‐Onset Type 1 Diabetes (FABULINUS): Rationale and Study Design

Diabetes, Obesity and Metabolism, Volume 28, Issue 8, Page 6584-6594, August 2026.
ABSTRACT Introduction Type 1 diabetes (T1D) is a chronic autoimmune disease, characterised by progressive destruction of the insulin‐producing pancreatic β‐cells. Preserving remaining β‐cells at the time of diagnosis may improve long‐term outcomes. Frexalimab is a humanised monoclonal antibody specific for CD40L undergoing evaluation for treatment of ...
Andriy Cherkas, Baerbel Rotthaeuser, Niels Porksen, Pascale Labard, My‐Liên Nguyên‐Pascal, Mathieu Coudert, Baptiste Berthou, Marie Baccara‐Dinet, Gabor Boka, Mark Peakman, Felix Reschke, Michael J. Haller   +11 more
wiley   +1 more source

cran checks API: an update

, 2019
If you have an R package on CRAN, you probably know about CRAN checks. Each package on CRAN, that is not archived on CRAN ¹ , has a checks page, like this one for ropenaq:https://cloud.r-project.org/web/checks/check_results_ropenaq.html The table above is results of running R CMD CHECK on the package on a combination of ...
openaire   +1 more source

Reproducible Data Analysis With R in Laboratory Hematology

International Journal of Laboratory Hematology, Volume 48, Issue 4, Page 757-764, August 2026.
ABSTRACT Laboratory hematology generates large, complex datasets that increasingly exceed the capabilities of traditional spreadsheet‐based analytical workflows. Despite their familiarity, spreadsheets obscure analytical logic, encourage manual data manipulation, and lack durable records of analytical steps, limiting transparency, auditability, and ...
Amrom E. Obstfeld
wiley   +1 more source