In granule processing industries, acquisition of particle size and shape parameters is a common procedure, and volumetric measurement is of great importance in dealing with particle sizing and gradation. To eradicate ...In granule processing industries, acquisition of particle size and shape parameters is a common procedure, and volumetric measurement is of great importance in dealing with particle sizing and gradation. To eradicate the major drawbacks with manual gauge, this paper proposes an optical approach using Back Propagation （BP） neural network to estimate the particle volume based on the two-Dimensional （2D） image information. To achieve the better network efficiency and structure simplicity, Principal Component Analysis （PCA） is adopted to reduce the dimensions of network inputs To overcome the shortcomings of generic BP network for being slow to converge and vulnerable to being trapped in local minimum, Levenberg-Marquardt （LM） algorithm is applied to achieve a higher speed and a lower error rate. The real particle data is utilized in training and testing the presented network. The experimental result suggests that the proposed neural network is capable of estimating aggregate volume with satisfactory precision and superior to the generic BP network in terms of perforxnance capacity.展开更多
Nutritional Assessment is the process of identifying characteristics known to associated with nutrition problems. Certain foods with chemical additives disguised as food can cause muscle and joint pain associated with...Nutritional Assessment is the process of identifying characteristics known to associated with nutrition problems. Certain foods with chemical additives disguised as food can cause muscle and joint pain associated with arthritis, gout, fibromyalgia, obesity, cancer and others. Avoiding these foods can reduced inflammation, thus prevent obesity, cancer, and another disease. The target of the study was to find a relation between food type, anthropometric parameters and obesity-related diseases for university students in CoUege-Al Leith-Umm al-Qura University, Saudi Arabia. The purpose is to identify populations （100 subjects women, aged： 17-30 year, using questionnaire） who are malnourished or at nutritional risk. Participants were divided into normal-weight and obese groups. The different methods are used to collect data including： 1. Anthropometric, 2. Dietary： Nutritional History （Current Intake）, 3. FFQ （Food frequency questionnaire）. There is a significant association between certain food type, anthropometric parameters, obesity as well as other diseases including （vitamin D deficiency, kidney problems, bone pain, general weakness, thyroid problems, infertility.展开更多
A novel lateral flow immunoassay biosensor,combining the receptor-ligand reaction and antigen-antibody reaction was developed for the detection of β-lactam antibiotics in milk. The receptor protein, the carboxy-termi...A novel lateral flow immunoassay biosensor,combining the receptor-ligand reaction and antigen-antibody reaction was developed for the detection of β-lactam antibiotics in milk. The receptor protein, the carboxy-terminal domain of β-lactam sensor-transducer mutant from Bacillus.licheniformis, served as the recognition element. Colloidal gold(CG)-labelled receptor antibody-receptor ternary complex was applied as a signal transducer probe. The presence ofβ-lactams was identified through a color change in the test zone, where the reaction between the complex of CG/antireceptor antibody/receptor and β-lactam antigen on the test line could be inhibited by β-lactam residues in the sample,thus leading to a reduction in color signal. Based on the indirect labeling of the receptor with an antibody as a linker, the ability to detect 33 β-lactams was below or near the corresponding maximum residue limit. The proposed lateral flow immunoassay biosensor appears to be an excellent field-based screening tool for the qualitative screening of β-lactams in milk.展开更多
基金Supported by Ningbo Natural Science Foundation (No. 2006A610016)Foundation of Ministry of Education for Returned Overseas Students & Scholars (SRF for ROCS, SEM. No. 2006699)
文摘In granule processing industries, acquisition of particle size and shape parameters is a common procedure, and volumetric measurement is of great importance in dealing with particle sizing and gradation. To eradicate the major drawbacks with manual gauge, this paper proposes an optical approach using Back Propagation （BP） neural network to estimate the particle volume based on the two-Dimensional （2D） image information. To achieve the better network efficiency and structure simplicity, Principal Component Analysis （PCA） is adopted to reduce the dimensions of network inputs To overcome the shortcomings of generic BP network for being slow to converge and vulnerable to being trapped in local minimum, Levenberg-Marquardt （LM） algorithm is applied to achieve a higher speed and a lower error rate. The real particle data is utilized in training and testing the presented network. The experimental result suggests that the proposed neural network is capable of estimating aggregate volume with satisfactory precision and superior to the generic BP network in terms of perforxnance capacity.
文摘Nutritional Assessment is the process of identifying characteristics known to associated with nutrition problems. Certain foods with chemical additives disguised as food can cause muscle and joint pain associated with arthritis, gout, fibromyalgia, obesity, cancer and others. Avoiding these foods can reduced inflammation, thus prevent obesity, cancer, and another disease. The target of the study was to find a relation between food type, anthropometric parameters and obesity-related diseases for university students in CoUege-Al Leith-Umm al-Qura University, Saudi Arabia. The purpose is to identify populations （100 subjects women, aged： 17-30 year, using questionnaire） who are malnourished or at nutritional risk. Participants were divided into normal-weight and obese groups. The different methods are used to collect data including： 1. Anthropometric, 2. Dietary： Nutritional History （Current Intake）, 3. FFQ （Food frequency questionnaire）. There is a significant association between certain food type, anthropometric parameters, obesity as well as other diseases including （vitamin D deficiency, kidney problems, bone pain, general weakness, thyroid problems, infertility.
基金financially supported by the National Key R&D Program of China (2019YFC1606603)。
文摘A novel lateral flow immunoassay biosensor,combining the receptor-ligand reaction and antigen-antibody reaction was developed for the detection of β-lactam antibiotics in milk. The receptor protein, the carboxy-terminal domain of β-lactam sensor-transducer mutant from Bacillus.licheniformis, served as the recognition element. Colloidal gold(CG)-labelled receptor antibody-receptor ternary complex was applied as a signal transducer probe. The presence ofβ-lactams was identified through a color change in the test zone, where the reaction between the complex of CG/antireceptor antibody/receptor and β-lactam antigen on the test line could be inhibited by β-lactam residues in the sample,thus leading to a reduction in color signal. Based on the indirect labeling of the receptor with an antibody as a linker, the ability to detect 33 β-lactams was below or near the corresponding maximum residue limit. The proposed lateral flow immunoassay biosensor appears to be an excellent field-based screening tool for the qualitative screening of β-lactams in milk.
