[Inversion of Water Quality Parameters Based on UAV Multispectral Images and the OPT-MPP Algorithm].

Unmanned aerial vehicle (UAV) multispectral remote sensing can be used to monitor multiple water quality parameters, such as suspended solids, turbidity, total phosphorus, and chlorophyll. Establishing a stable and accurate water quality parameter inversion model is a prerequisite for this work. The matching pixel-by-pixel (MPP) algorithm is an inversion algorithm for high resolution features of UAV images; however, it is associated with problems of excessive computation and over-fitting.

A data-driven noise reduction method and its application for the enhancement of stress wave signals.

Ensemble empirical mode decomposition (EEMD) has been recently used to recover a signal from observed noisy data. Typically this is performed by partial reconstruction or thresholding operation. In this paper we describe an efficient noise reduction method.

Stress wave signal denoising using ensemble empirical mode decomposition and an instantaneous half period model.

Stress-wave-based techniques have been proven to be an accurate nondestructive test means for determining the quality of wood based materials and they been widely used for this purpose. However, the results are usually inconsistent, partially due to the significant difficulties in processing the nonlinear, non-stationary stress wave signals which are often corrupted by noise. In this paper, an ensemble empirical mode decomposition (EEMD) based approach with the aim of signal denoising was proposed and applied to stress wave signals.

Hemogram and bone marrow morphology in children with chronic aplastic anemia and myelodysplastic syndrome.

Background: Aplastic anemia (AA) and myelodysplastic syndrome (MDS) are both acquired disorders in which bone marrow fails to produce or release sufficient blood cells. Anemia, infections and thrombocytopenia are common signs of such diseases. Clinically, it is difficult to distinguish chronic aplastic anemia (CAA) from MDS, especially from MDS without splenomegaly.

[The value of multiparameter flow cytometry in diagnosis of lymphocytic leukemia and bone marrow involvement of non-Hodgkin's lymphoma].

Background & Objective: Lymphocytic leukemia and bone marrow involvement of non-Hodgkin's lymphoma (NHL) can be diagnosed by bone marrow morphology or lymph node biopsy combined with bone marrow examination. The data of original and differentiation status of tumor can be analyzed by immunophenotype of bone marrow. These are necessary for diagnosis and treatment of lymphocytic malignancy.

[Expression and clinical significance of mdr-1 gene in lymphoma].

Background & Objective: It is still unclear whether overexpression of mdr-1 gene play a role in the chemotherapy resistance of lymphoma. This study was designed to investigate P-glycoprotein(P-gp) and mdr-1 mRNA levels of lymphoma and to observed the impact of P-gp level upon chemotherapy response.

Methods: Ten samples of relapsed lymphoma and 21 samples of untreated lymphoma were assessed by flow cytometry(FCM).

[A method to detect gene transfection efficacy by flow cytometry].

Background & Objective: Analysis of gene transfer and expression is conventionally inferred from the percentage of positive cells expressing reporter gene in total cells, referred as transfection rate, by investigators counting under a microscope or fluoroscope, which was called as manual counting. But in many cases, it is not accurate and easily influenced by the subjectivity of observer. This study was designed to seek a convenient method to assess objectively and accurately the efficacy of gene transfer and expression.