Results 121 to 130 of about 1,216,046 (262)

Identification and characterization of a gene conferring stress resistance in Escherichia coli and cyanobacteria

FEBS Open Bio, EarlyView.
Functional screening identified PcSyn14890, a cyanobacteria‐specific protein that enhances growth and stress resistance in E. coli and Synechocystis PCC6803. Although we expected it to function as a molecular chaperone, it was unable to protect against thermal aggregation of GAPDH.
Akiyo Yamada, Takaaki Tanaka, Manaka Uehara, Keigo Nakano, Ken Morishima, Rintaro Inoue, Masaaki Sugiyama, Masafumi Yohda   +7 more
wiley   +1 more source

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

FEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Interpretable and Predictive Models Based on High-Dimensional Data in Ecology and Evolution. [PDF]

Mol Ecol Resour
Jahner JP, Buerkle CA, Gannon DG, Grames EM, McFarlane SE, Siefert A, Bell KL, DeLeo VL, Forister ML, Harrison JG, Laughlin DC, Patterson AC, Powers BF, Werner CM, Oleksy IA.   +14 more
europepmc   +1 more source

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

FEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page, Rachel J. Hunt, Lauren J. Albee, Daniel Berwick, Alison Snape   +4 more
wiley   +1 more source

A robust binary secretary bird optimization method for high-dimensional data classification. [PDF]

Sci Rep
Kamal R, Amin E, AbdElminaam DS, Ismail R.   +3 more
europepmc   +1 more source

Random subspace-based ensemble classifier for high-dimensional data Using SPARK. [PDF]

PLoS One
Bhimineni VC, Senapati R.
europepmc   +1 more source

Hybrid deep learning approach to improve classification of low-volume high-dimensional data. [PDF]

BMC Bioinformatics, 2023
Mavaie P, Holder L, Skinner MK.
europepmc   +1 more source

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]

Electron J Stat
Buenfil J, Lila E.
europepmc   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source