Running Economy After a Low- and High-Intensity Training Session in Naturally Menstruating Endurance-Trained Female Athletes: The FENDURA Project. [PDF]
Docter H +6 more
europepmc +1 more source
BCR sequencing and subclone analysis correlated immunoglobulin (Ig) chain loss in dysfunctional hybridomas with disrupted monoclonal antibody homeostasis. Proteomics‐guided CRISPR/Cas9 editing revealed that the unfolded protein response (UPR) regulates aberrant Ig synthesis.
Rubing Zou +9 more
wiley +1 more source
Association between running economy and VO<sub>2</sub>max values in high-level Ethiopian male and female distance runners measured at high altitude. [PDF]
Bayissa M +5 more
europepmc +1 more source
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang +9 more
wiley +1 more source
Correction to: The Relationship Between Running Biomechanics and Running Economy: A Systematic Review and Meta-Analysis of Observational Studies. [PDF]
Van Hooren B +5 more
europepmc +1 more source
Dynamic Warm-Up Effect on 5-Km Performance and Running Economy in Collegiate Cross-Country Runners
Adriane Wunderlich
openalex +1 more source
A multi‐technique pump‐probe setup capable of performing both transient reflectivity and time‐resolved Raman spectroscopy after ultrafast excitation, provides a comprehensive understanding of ultrafast electronic and phononic processes. Distinct decay rates for the temperature, frequency, and linewidth of the phonon mode in germanium are observed ...
Grazia Raciti +10 more
wiley +1 more source
The effects of plyometric versus resistance training on running economy and 5-km running time in middle-aged recreational runners. [PDF]
Eihara Y +5 more
europepmc +1 more source
S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu +6 more
wiley +1 more source

