Hyperspectral Determination of Reducing Sugar in Potatoes Based on CARS

Wei Jiang,Junlong Fang,Shuwen Wang,Runtao Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.9

It usually contains a large amount of redundant information to use the hyperspectral information to create a model, which will increase the difficulty of the model analysis. Therefore, it’s so important to select the characteristic wavelength in an effective and quick way. This study is proposed by using the competitive adaptive reweighed sampling (CARS) to select the characteristic wavelength for detecting the reducing sugar content in the potatoes. In that experiment a total of 238 samples are prepared. Among them, 190 samples are selected as the calibration set and 48 samples as the validation set. The performance of CARS is compared with full spectrum and classical variable extraction methods such as Monte Carlo uninformative variable elimination (MC-UVE), genetic algorithm (GA) and moving window partial least squares (MWPLS). Experimental results show that the band screened by algorithm CARS has the best effect, compared to full spectrum modeling, the wavelength of the model reduces from 203 to 33, the model validation set coefficient R2 increases from 0.8464 to 0.8965, and the root mean square error prediction (RMSEP) decreases from 0.0758 to 0.0416. The results demonstrate that it is feasible to detect the reducing sugar content of potatoes by using CARS combined with hyperspectral imaging.

Detection of Starch Content in Potato Based on Hyperspectral Imaging Technique

Wei Jiang,Junlong Fang,Shuwen Wang,Yongcun Fan 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.12

Detection of starch content in potato is studied applying hyperspectral imaging technique in the paper. The original and preprocessing spectra were processed with partial least square(PLS) method to build prediction model of starch content. The original spectra between 400 and 1000nm was preprocessed with smoothing, second derivation, and multiplicative scatter correction (MSC). Prediction model was built with preprocessing spectra by applying principal component analysis (PCA). Known from the result, the model based on the preprocessing spectra preprocessed with smoothing and PCA is the best of all prediction models built in research. The determination coefficient (R2)of calibration set and prediction set was 0.8234 and 0.9031 respectively. The root mean square error of calibration set (RMSEC) and root mean square error of validation set(RMSEV) was 0.5633 and 0.5025,respectively.It indicated that this method could be applied in detection of starch content in potato. The study could offer theoretical and practical reference for further study in the future.

Psoralen synergies with zinc implants to promote bone repair by regulating ZIP4 in rats with bone defect

Meijing Liu,Junlong Tan,Shuang Li,Chaoyang Sun,Xiangning Liu,Hongtao Yang,Xiaogang Wang 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Background The regulation of dose-dependent biological effects induced by biodegradation is a challenge for the production of biodegradable bone-substitute materials, especially biodegradable zinc (Zn) -based materials. Cytotoxicity caused by excess local Zn ions (Zn2+) from degradation is one of the factors limiting the wide application of Zn implants. Given that previous studies have revealed that delayed degradation of Zn materials by surface modification does not reduce cytotoxicity; in the present study, we explore whether preventing the entry of excess Zn2+ into cells may can reduce local Zn toxicity by applying Psoralen (PRL) to Zn implants and assessing its ability to regulate intracellular Zn2+ concentrations. Methods The effects of different concentrations of Zn2+ on cellular activity and cytotoxicity were investigated; briefly, we identified natural compounds that regulate Zn transporters, thereby regulating the concentrations of intracellular Zn2+, and applied them to Zn materials. Of these materials, PRL, a natural, tricyclic, coumarin-like aromatic compound that promotes the proliferation and differentiation of osteoblasts and enhances osteogenic activity, was loaded onto the surface of a Zn material using peptides and chitosan (CS), and the surface characteristics, electrochemical properties, and activity of the modified Zn material were evaluated. In addition, the ability of Zn + CS/pPRL implants to promote bone formation and accelerate large-scale bone defect repairs was assessed both in vitro and in vivo. Results We determined that 180 μM Zn2+ significantly induced pre-osteoblast cytotoxicity, and a 23-fold increase in Zrt- and Irt-like protein 4 (ZIP4) expression. We also found that PRL dynamically regulates the expression of ZIP4 in response to Zn2+ concentration. To address the problem of cytotoxicity caused by excessive Zn2+ in local Zn implants, PRL was loaded onto the surface of Zn implants in vivo using peptides and CS, which dynamically regulated ZIP4 levels, maintained the balance of intracellular Zn2+ concentrations, and enhanced the osteogenic activity of Zn implants. Conclusions This study reveals the importance of Zn2+ concentration when using Zn materials to promote bone formation and introduces a natural active ingredient, PRL, that can regulate intracellular Zn2+ levels, and thus may be clinically applicable to Zn implants for the treatment of critical bone defects.

Hypoxia-Inducible Factor 1α Regulates the Transforming Growth Factor β1/ SMAD Family Member 3 Pathway to Promote Breast Cancer Progression

Jianheng Peng,Xiaolin Wang,Liang Ran,Junlong Song,Rong Luo,Yonghong Wang 한국유방암학회 2018 Journal of breast cancer Vol.21 No.3

Purpose: The transforming growth factor β1 (TGF-β1)/SMAD family member 3 (SMAD3) pathway, and hypoxia-inducible factor 1α (HIF-1α) are two key players in various types of malignancies including breast cancer. The TGF-β1/SMAD3 pathway can interact with HIF-1α in some diseases; however, their interaction in breast cancer is still unknown. Therefore, our study aimed to investigate the interactions between the TGF-β1/SMAD3 pathway and HIF-1α in breast cancer. Methods: Expression of HIF-1α in serum of breast cancer patients and healthy controls was detected by quantitative reverse transcription polymerase chain reaction, and the diagnostic value of HIF-1α for breast cancer was evaluated by receiver operating characteristic curve analysis. Breast cancer cell lines overexpressing SMAD3 and HIF-1α were established. Cell apoptosis and proliferation following different treatments were detected by 3-(4,5-dimethylthiazol-2-yl)-2,5- diphenyltetrazolium bromide, and cell counting kit-8, respectively. Expression of related proteins was detected by western blot. Results: Serum levels of HIF-1α were higher in breast cancer patients than in normal controls. Both SMAD3 and HIF-1α overexpression inhibited cell apoptosis and promoted cell proliferation. Treatment with inhibitors of HIF-1α and SMAD3 promoted apoptosis in breast cancer cells and inhibited their proliferation. Overexpression of HIF-1α promoted the expression of TGF-β1 and SMAD3, while SMAD3 overexpression did not significantly affect expression of HIF-1α or TGF-β1. Conclusion: HIF-1α serves as an upstream regulator of the TGF-β1/SMAD3 pathway and promotes the growth of breast cancer.

Path Tracking and Local Obstacle Avoidance for Automated Vehicle Based on Improved Artificial Potential Field

Weihua Li,Yipeng Wang,Junlong Guo,Dianbo Ren,Jianfeng Wang,Shengkai Zhu,Jianping Xiao,Shijuan Chen 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.5

This study proposes an improved artificial potential field (APF) by considering the cooperative control of local obstacle avoidance and path tracking for automated vehicles. We established the path gravitational potential field (GPF) based on the scheduled path (SP), including the lateral and longitudinal GPFs, to enable the automated vehicle to quickly return to the SP and track after obstacle avoidance, while maintaining control of speed for the entire process. To address the local optimal solution problem of the classical APF, we proposed a sub-target-point selection strategy based on the information of obstacles and SP and established the GPF of the sub-target points. Thus, the automated vehicle can avoid obstacles and quickly return to the SP. Furthermore, the relative velocity of the automated vehicle and the obstacle was used to establish the velocity repulsion potential field (RPF), which improved the adaptability of the APF to dynamic obstacles. The simulation results indicate that the improved APF is capable of cooperative control of path tracking and local obstacle avoidance. Code is available at https://github.com/xiaowang617/Improve-APF.

Safety analysis of marine nuclear reactor in severe accident with dynamic fault trees based on cut sequence method

Zhao Fang,Zou Shuliang,Xu Shoulong,Wang Junlong,Xu Tao,Tang Dewen 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.12

Dynamic fault tree (DFT) and its related research methods have received extensive attention in safety analysis and reliability engineering. DFT can perform reliability modelling for systems with sequential correlation, resource sharing, and cold and hot spare parts. A technical modelling method of DFT is proposed for modelling ship collision accidents and loss-of-coolant accidents (LOCAs). Qualitative and quantitative analyses of DFT were carried out using the cutting sequence (CS)/extended cutting sequence (ECS) method. The results show nine types of dynamic fault failure modes in ship collision accidents, describing the fault propagation process of a dynamic system and reflect the dynamic changes of the entire accident system. The probability of a ship collision accident is 2.378 109 by using CS. This failure mode cannot be expressed by a combination of basic events within the same event frame after an LOCA occurs in a marine nuclear reactor because the system contains warm spare parts. Therefore, the probability of losing reactor control was calculated as 8.125 106 using the ECS. Compared with CS, ECS is more efficient considering expression and processing capabilities, and has a significant advantage considering cost.

IODINE REMOVAL EFFICIENCY IN NON-SUBMERGED AND SUBMERGED SELF-PRIMING VENTURI SCRUBBER

Ali, Majid,Yan, Changqi,Sun, Zhongning,Gu, Haifeng,Wang, Junlong,Khurram, Mehboob Korean Nuclear Society 2013 Nuclear Engineering and Technology Vol.45 No.2

The objective of this conducted research is to study the iodine removal efficiency in a self-priming venturi scrubber for submerged and non-submerged operating conditions experimentally and theoretically. The alkaline solution is used as an absorbent, which is prepared by dissolving sodium hydroxide (NaOH) and sodium thiosulphate ($Na2S_2O_3$) in water to remove the gaseous iodine ($I_2$) from the gas. Iodine removal efficiency is examined at various gas flow rates and inlet concentrations of iodine for submerged and non-submerged operating conditions. In the non-submerged venturi scrubber, only the droplets take part in iodine removal efficiency. However, in a submerged venturi scrubber condition, the iodine gas is absorbed from gas to droplets inside the venturi scrubber and from bubbles to surrounding liquid at the outlet of a venturi scrubber. Experimentally, it is observed that the iodine removal efficiency is greater in the submerged venturi scrubber as compare to a non-submerged venturi scrubber condition. The highest iodine removal efficiency of $0.99{\pm}0.001$ has been achieved in a submerged self-priming venturi scrubber condition. A mathematical correlation is used to predict the theoretical iodine removal efficiency in submerged and non-submerged conditions, and it is compared against the experimental results. The Wilkinson et al. correlation is used to predict the bubble diameter theoretically whereas the Nukiyama and Tanasawa correlation is used for droplet diameter. The mass transfer coefficient for the gas phase is calculated from the Steinberger and Treybal correlation. The calculated results for a submerged venturi scrubber agree well with experimental results but underpredicts in the case of the non-submerged venturi scrubber.