In the traditional DKL algorithm, PCA is performed before LDA to achieve stable numerical computation and good generalization in small-sample-size problems. However, PCA is based on the global information, ignoring the significant local characteristics. This paper will propose a novel algorithm called Discriminant Local Feature Analysis based on a broader understanding of LFA features. In the a...

Abstract Delamination of the interlayers multi-layer systems can cause a degradation in functionality, stability and life span that system. This is even more pertinent for at high temperature. Laser flash analysis (LFA) has long been used thermophysical properties measurements temperatures. Multi-layer reference artefacts, with without, debonded regions are required validating thermal character...

Over 20% of cancer patients will suffer metastatic spread to the brain, and prognosis remains poor. Communication between tumour cells and host tissue is essential during metastasis, yet little is known of the processes underlying such interactions in the brain.Here we test the hypothesis that cross-talk between tumour cells and host brain cells, through tumour cell leukocyte function associate...

Lymphocyte function-associated antigens 1 and 3 (LFA-1, LFA-3) and intercellular adhesion molecule 1 (ICAM-1) are cell surface adhesion molecules necessary for immune processes requiring intercellular contact. It was recently proposed that malignant Burkitt's lymphoma cells (BL) may escape from immunosurveillance through the downregulation of LFA-1 (CD11a/CD18) or LFA-3 (CD58) and ICAM-1 (CD54)...

The term “genre” covers different aspects of both texts and documents, and it has led to many classification schemes. This makes different approaches to genre identification incomparable and the task itself unclear. We introduce the linguistically motivated text classification task language function analysis, LFA, which focuses on one well-defined aspect of genres. The aim of LFA is to determin...

Lateral flow assay (LFA) is emerging as one of the most popular paper-based biosensors in field diagnostic industry. LFA fills all gaps between diagnosis and treatment it provides beneficial qualities to users such quick response, Point-of-care appeal, early detection, low cost, effective sensitive detections various infectious diseases. These benefits increase LFA’s dependability for disease m...

For a few years now, the problem of session variability in text-independent automatic speaker verification is being tackled actively. A new paradigm based on a Latent Factor Analysis (LFA) model has been applied successfully for this task. However, using this approach, a large training corpus with several sessions per speaker is required. This constraint is hard to satisfy in many real applicat...

The β2-integrin lymphocyte function-associated antigen 1 (LFA-1) plays an important role in the migration, adhesion and intercellular communication of dendritic cells (DCs). During the differentiation of human DCs from monocyte precursors, LFA-1 ligand binding capacity is completely lost, even though its expression levels were remained constant. Yet LFA-1-mediated adhesive capacity on DCs can b...