Results 51 to 60 of about 223,895 (260)
Super efficiency in vector optimization [PDF]
We introduce a new concept of efficiency in vector optimization. This concept, super efficiency, is shown to have many desirable properties. In particular, we show that in reasonable settings the super efficient points of a set are norm-dense in the efficient frontier. We also provide a Chebyshev characterization of super efficient points for nonconvex
Borwein, J. M., Zhuang, D.
openaire +2 more sources
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
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
Classification of corn kernels grades using image analysis and support vector machine
In order to classify the quality of corn kernels in an affordable, convenient, and accurate manner, a method based on image analysis and support vector machine is proposed.
Ang Wu +7 more
doaj +1 more source
A fault diagnosis method of rolling bearing
For parameter optimization of support vector machine in fault diagnosis method of rolling bearing based on support vector machine, an improved fruit fly optimization algorithm was proposed which took accuracy rate of pattern classification as taste ...
DONG Jianping, YANG Cheng, LU Xiaoli
doaj +1 more source
We discuss three scalarizations of the multiobjective optimization from the point of view of the parametric optimization. We analize three important aspects: 1. What kind of singularities may appear in the different parametrizations, 2. Regularizations in the sense of Jongen, Jonker and Twilt, and in the sense of Kojima and Hirabayashi, 3.
openaire +2 more sources
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Wavelet Kernel Relevance Vector Machine Algorithm Based on Adaptive Kernel Parameter Optimization [PDF]
The traditional Relevance Vector Machine(RVM) algorithm is slow to train on large scale datasets,and the Gauss radial kernel cannot express the feature space completely.So based on adaptive kernel parameter optimization,this paper proposes a wavelet ...
GAO Mingzhe,XU Aiqiang,ZHANG Wei
doaj +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
Target-Cell-Directed Bioengineering Approaches for Gene Therapy of Hemophilia A
Potency is a key optimization parameter for hemophilia A gene therapy product candidates. Optimization strategies include promoter engineering to increase transcription, codon optimization of mRNA to improve translation, and amino-acid substitution to ...
Harrison C. Brown +5 more
doaj +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source

