Results 61 to 70 of about 60,047 (288)
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
Low-Similarity Client Sampling for Decentralized Federated Learning
Federated Learning (FL) often encounters challenges from statistical heterogeneity caused by non-identical client data distributions. A common approach to mitigate this issue is to cluster clients with similar data and train within each cluster, which ...
Yunseok Kang, Jaeyoung Song
doaj +1 more source
Efficiency of Adaptive Cluster Sampling for Estimating Plant Disease Incidence
Conventional sampling designs such as simple random sampling (SRS) tend to be inefficient when assessing rare and highly clustered populations because most of the time is spent evaluating empty quadrats, leading to high error variances and high cost. In
H. Scherm, P. S. Ojiambo
core +1 more source
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
Adaptive cluster sampling designs
Full text is available to authenticated members of The University of Auckland only.Thompson (1990) introduced the adaptive cluster sampling design. Thompson and Seber (1996) reviewed the research related to this design and its extensions.
Salehi Marzijarani, Mohammad.
core
Interpreting the effects of DNA polymerase variants at the structural level
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi +7 more
wiley +1 more source
Analysis of factors influencing cyclist injury severity and heterogeneity analysis in urban bicycle accidents considering data imbalance [PDF]
To explore the factors influencing the injury severity of cyclists in urban bicycle accidents and mitigate the impact of data heterogeneity and imbalance on the quantification of these factors, this study proposes a method integrating resampling, latent ...
WANG Chaojian, XU Xiaojin, FENG Bin, YU Songlin, ZHANG Weidong
doaj +1 more source
Partial systematic adaptive cluster sampling
A main benefit from taking a systematic sample is the ease of implementation when field sampling. However, it is not uncommon for a researcher to sample only one primary sampling unit (PSU) but to assume that the secondary sampling units (SSUs) were selected by simple random sampling to obtain a variance estimate.
Dryver, Arthur L. +2 more
openaire +2 more sources
Some aspects of adaptive cluster sampling
The adaptive cluster sampling (ACS) procedure is difficult to apply if some of the networks appearing in the sample are large. To deal with such large networks, a two-stage adaptive cluster sampling (TACS) procedure and an adjusted two-stage adaptive ...
Azmeri. Khan (13783378)
core
Adaptive query-based sampling of distributed collections
As part of a Distributed Information Retrieval system a de-scription of each remote information resource, archive or repository is usually stored centrally in order to facilitate resource selection.
Fabio Crestani +8 more
core +1 more source

