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This paper describes to evaluate rice yield and protein estimation methods based on various vegetation indices (VIs), NDSI and PLS using an airborne hyperspectral sensor AISA in Shonai plane, northeast Japan. In several developing stages, which are the tillering stage (middle June), the maximum tiller number stage (early July) and the dough ripe stage (late August), PLS has stable and high correlation...
In this paper, based on the raw data from the patients in hospital, data are analyzed with the correlation analysis, multiple regression analysis, stepwise regression and so on. the correlation relationship between the initial insulin dosage of diabetes patients and sexuality, age, body high, weight, diet intake, amount of exercise, blood sugar, urine glucose, urine protein, blood creatinine, concurrent...
An indirect competitive ELISA (icELISA) has been developed for the determination of testosterone (TES) residue in urine. For this reason, EDC method was employed to synthesize the artificial antigen of TES-BSA, and New Zealand white rabbits were used to prepare the polyclonal antibody. Based on the square matrix titration, an icELISA method was developed. The dynamic range was from 0.096 to 92.2 ng/mL,...
Microarray experiments usually generate data sets with multiple missing value due to several reasons. In the paper a robust method has been proposed to estimate the missing value of microarray experimental data. Missing values are imputed using fuzzy similarity measure by identifying the genes having similar characteristics to that of the gene with missing values. In this approach, biological knowledge...
The chemical composition of solid wastes from Silybum marianum fruits (WSS) and the contents of total polyphenols, total flavonoids and antioxidant activity of the extracts from WSS with distilled water, ethanol (40%, 70% and 95%) and methanol was investigated. Chemical analysis indicated that WSS contained high amounts of crude protein (25.58%), calcium, potassium and magnesium. The content of plumbum,...
The determination of the fractal dimension on the zinc polysilicate (PSAZ) flocculation process and correlation between fractal dimension and removal rate of turbidity were studied. The results of single factor experiment on pH value and the dosage of PSAZ showed when the optimal pH value was 11 and the dosage of PSAZ was 4 ml/L, the removal rate of turbidity was 90.95% and 92.68% for highest and...
It is well-known that obesity has a marked effect on many of the routinely used laboratory parameters. An obvious example is the serum level of various blood lipids: hyperlipidemia, hypercholesteremia are often observed in obese people. Our research aimed to provide a more thorough understanding of the effects of obesity on laboratory parameters, concentrating on every laboratory parameter, not just...
In this study we present a bioinformatic evaluation and a first statistical analysis of various structural and energetic protein properties on the 3D structural conformations from the full protein folding simulation of the villin-headpiece protein. The final goal of the study is to determine if the measured protein properties have an underlying structure that is not directly observable but through...
Collagen is believed to be one of the principal load bearing components of skin. This implies that deformation of collagen microfibrils play an important role in determining the extent of skin deformation under applied loads. We have developed a novel technique for generating internal strain maps of bundles of collagen microfibrils in the skin. The technique relies on digital image correlation (DIC)...
In order to investigate the fruit quality of tomato (Lycopersicon esculentum mill) affected by microenvironment and soil water and fertilizer, the field experiment was conducted in a greenhouse in Ansia research Station of Soil and Water Conservation, Chinese Academy of Science, Yan'an, Shaanxi province, China, from March to October in 2008 and 2009. The research results showed that soluble protein...
The computation of semantic similarity of terminologies in gene ontology is an important application of gene ontology. Moreover, it is an important approach for biologists to deal with the semantic heterogeneity of biological data sets. Existing approaches in this field are based on semantic distance or information quantity. The author proposes a comprehensive approach where the similarity is first...
Collagen fibrils contribute to the structural integrity and crack resistance of bone, but their response to stress while in bundles of fibrils is not well known. Digital image correlation (DIC) is a powerful technique for measuring strain by comparing images of deformed samples to non-deformed samples, while second harmonic generation microscopy (SHGM) captures bright, high contrast images of bone...
Non-contact, non-invasive monitoring of hemodynamic parameters has long been deemed to be important to medical monitoring in a variety of environments. Radio Frequency Impedance Interrogation (RFII) measures hemodynamic function via resonance frequency coupling to a hydrophilic protein molecule. We examined the use of RFII for hemodynamic monitoring of human subjects during Lower Body Negative Pressure...
Internal repeats are widely found in proteins and considered to be important in protein evolution and function. Three major types of internal repeat including domain, solenoid, and fibrous repeats are. These repeats may involve in protein-protein interaction as well as binding to various ligands such as DNA and RNA. For example, the tetratrico peptide repeats (TPR) that are involved in cell-cycle...
Usually, the relations between the protein functions do not be considered in protein function/interaction prediction. In this paper, we propose a strategy for determining the relation between the protein functions. The technique is based on the overlapping number of proteins and interactions over protein clusters to determine the correlation between the sub-function categories as well as improve the...
Modeling of biological networks is a difficult endeavor, but exploration of this problem is essential for understanding the systems behavior of biological processes. In this contribution, developed for sparse data, we present a new continuous Bayesian graphical learning algorithm to cotemporally model proteins in signaling networks and genes in transcriptional regulatory networks. In this continuous...
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