Results 81 to 90 of about 3,327,498 (302)
Area Control Error Prediction Based on PCA-XGBoost
In order to fully explore the temporal characteristic relation between power grid operation information and area control error, and improve the prediction accuracy of area control error, an area control error prediction method based on principal component analysis (PCA) and extreme gradient boosting (XGBoost) was proposed.
Sun, Zhangling +7 more
openaire +1 more source
Hybrid ARQ Error-Controlling Scheme for Robust and Efficient Transmission of UWB Body Area Networks
IEICE Transactions on Communications, 2010 This paper presents hybrid type-II automatic repeat request (H-ARQ) for wireless wearable body area networks (BANs) based on ultra wideband (UWB) technology. The proposed model is based on three schemes, namely, high rate optimized rate compatible punctured convolutional codes (HRO-RCPC), Reed Solomon (RS) invertible codes and their concatenation ...
SUZUKI, Haruka +2 more
openaire +1 more source
Molecular Oncology, Volume 20, Issue 6, Page 1513-1534, June 2026.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Variable Structure Control Design for a Magnetic Levitation System
Journal of Engineering, 2018 In this paper the variable structure control theory is utilized to derive a discontinuous controller to the magnetic levitation system. The magnetic levitation system model is considered uncertain, which subjected to the uncertainty in system parameters,
Shibly Ahmed Al-Samarraie
doaj +1 more source
Using image-based modelling (SfM-MVS) to produce a 1935 ortho-mosaic of the Ethiopian highlands [PDF]
, 2014 Approximately 34,000 aerial photographs covering large parts of Ethiopia and dating back to 1935-1941 have been recently recovered. These allow investigating environmental dynamics for a past period that until now is only accessible from terrestrial ...
De Maeyer, Philippe +5 more
core +1 more source
Molecular Oncology, Volume 20, Issue 6, Page 1494-1512, June 2026.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, Volume 20, Issue 6, Page 1643-1660, June 2026.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
A comparison of alternative strategies for choosing control populations in observational studies. [PDF]
, 2015 Various approaches have been used to select control groups in observational studies: (1) from within the intervention area; (2) from a convenience sample, or randomly chosen areas; (3) from areas matched on area-level characteristics; and (4) nationally.
Grieve, Richard +2 more
core +2 more sources
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Automatic Detection of Significant Areas for Functional Data with Directional Error Control
, 2015 To detect differences between the mean curves of two samples in longitudinal study or functional data analysis, we usually need to partition the temporal or spatial domain into several pre-determined sub-areas. In this paper we apply the idea of large-scale multiple testing to find the significant sub-areas automatically in a general functional data ...
Xu, Peirong +2 more
openaire +2 more sources