Effect of temperature on survival and immature development of Arma chinensis

Xia Peng-Liang,Wang Bo,Xie Xiao-Fei,Feng Yi,Huang Yong 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.2

Arma chinensis (Fallou) is a predaceous pentatomid with the potential to control a wide range of insect pests. In this study, the stage-specific temperature-dependent development and survival of A. chinensis was investigated under seven constant temperatures (range 18–35 ◦ C) when fed with yellow mealworm (Tenebrio molitor L.). Developmental times (in days) for the immature stage, entire nymphal stage, and egg-to-adult development were inversely proportional to temperatures between 18 and 33 ◦ C (30 ◦ C for eggs and 1st instar nymphs). The lowest survival rate of A. chinensis was observed at 18 ◦ C (6.7%), whereas it was the highest (80–93.3%) at temperatures ranging from 21 to 24 ◦ C. The low temperature thresholds for the egg, entire nymph stage, and egg-to-adult development were 14.3, 12.28, and 12.8 ◦ C, respectively, while the thermal constants for these stages were estimated to be 85.47, 334.9, and 423.8 ◦ days. Among the three non-linear models examined, the Taylor model showed the best fit for the egg data, the Briére1 model was the best fit for the 1st instar nymph stage, and the Lactin1 model was more approprate for all the other instar stages, the entire nymphal stage, and overall development. The upper temperature thresholds estimated using the Lactin1 model for eggs, overall nymphal stage, and egg-to-adult development were 38.57, 38.9, and 40.0 ◦ C. The optimal temperature for the overall eggto-adult period was estimated to be 33.5 ◦ C. The results of this study can be used for the mass rearing of this natural pest enemy and development of phenology models of its seasonal progress.

Dynamic Beehive Detection and Tracking System Based on YOLO V5 and Unmanned Aerial Vehicle

Gao Peng,이강빈,쿠스위디얀토 루카스 위쿠,유승화,Hu Kai,Liang Gaotian,Chen Yufeng,Wang Weixing,Liao Fei,정유석,전문석,최인찬,한웅철 한국농업기계학회 2022 바이오시스템공학 Vol.47 No.4

Purpose With urban development and improvements in human living conditions, wild beehives in densely populated areas present a threat to human safety. The traditional manual method of clear beehives may result in secondary injury to humans. Methods This paper proposes a beehive detection model based on YOLO V5 by introducing the Shufe Block V2 and depthwise separable convolution (DSC) modules to decrease the original model parameters. The model can be deployed on edge computation devices such as Raspberry 4B with good detection accuracy. The PID algorithm and dual servo motors were combined with the object detection model to track the beehive automatically. The results of experiments showed that the inference speed of the improved beehive detection model was 92.5% faster than the original YOLO V5s model, although the detection accuracy and other indicators were not signifcantly diferent. Results The accuracy of the system in this study was as high as 96% in real-time detection, and the maximum recognition distance was 2.5 m. The performance test results of the system deployed on an unmanned aerial vehicle (UAV) showed that 90% of the beehive tracking process could be completed within 2 s, positioning the object in the center of the images collected by the camera. At the same time, when the UAV was moving at random, the detection and tracking system could still follow the beehive quickly and automatically. Conclusion The detection model and tracking system established in this paper provide important support to reduce the secondary damage to the rescue workers that may occur in beehive governance.

Effect of temperature on survival and immature development of Arma chinensis

Xia Peng-Liang,Wang Bo,Xie Xiao-Fei,Feng Yi,Huang Yong 한국응용곤충학회 2022 Journal of Asia-Pacific Entomology Vol.25 No.3

Arma chinensis (Fallou) is a predaceous pentatomid with the potential to control a wide range of insect pests. In this study, the stage-specific temperature-dependent development and survival of A. chinensis was investigated under seven constant temperatures (range 18–35 ◦ C) when fed with yellow mealworm (Tenebrio molitor L.). Developmental times (in days) for the immature stage, entire nymphal stage, and egg-to-adult development were inversely proportional to temperatures between 18 and 33 ◦ C (30 ◦ C for eggs and 1st instar nymphs). The lowest survival rate of A. chinensis was observed at 18 ◦ C (6.7%), whereas it was the highest (80–93.3%) at temperatures ranging from 21 to 24 ◦ C. The low temperature thresholds for the egg, entire nymph stage, and egg-to-adult development were 14.3, 12.28, and 12.8 ◦ C, respectively, while the thermal constants for these stages were estimated to be 85.47, 334.9, and 423.8 ◦ days. Among the three non-linear models examined, the Taylor model showed the best fit for the egg data, the Briére1 model was the best fit for the 1st instar nymph stage, and the Lactin1 model was more approprate for all the other instar stages, the entire nymphal stage, and overall development. The upper temperature thresholds estimated using the Lactin1 model for eggs, overall nymphal stage, and egg-to-adult development were 38.57, 38.9, and 40.0 ◦ C. The optimal temperature for the overall eggto-adult period was estimated to be 33.5 ◦ C. The results of this study can be used for the mass rearing of this natural pest enemy and development of phenology models of its seasonal progress.

Evolution of ALPPS: The Simpler, Safer and Effective One---TELPP

( Shu You Peng ),( Xu An Wang ),( Cong Yun Huang ),( You Yong Zhang ),( Jiang Tao Li ),( De Fei Hong ),( Xiu Jun Cai ),( Yi Fang Wang ),( Xiao Liang ),( Jian Wei Wang ) 대한간학회 2017 춘·추계 학술대회 (KASL) Vol.2017 No.1

Aims: The characteristic of associating liver partition and portal vein ligation for staged hepatectomy(ALPPS) carries high mortality and morbidity. There is room for improvement. We suggest Terminal Branches Portal Vein Embolization (TBPVE) as a way to compart the liver. As a result, only a single surgical operation is required.This method is termed Terminal branches portal vein Embolization Liver Partition Planned hepatectomy (TELPP). Methods: Patients with unresectable primary or metastatic liver tumor were performed with TELPP. The procedure of TELPP was that in addition to PVE, embolization agent was infused to the terminal branches of portal vein of S5,S8 or S4. CT scan was taken one or two weeks later, and standard liver volume(SLV), FLR and FLR/SLV are calculated. Two weeks later when the FLR and liver function is appropriate, open or laparoscopic hepatectomy is performed. Results: The study included 11patients including hepatocellular carcinoma: n =8, intrahepatic cholangiocarcinoma: n = 1, hilarcholangiocarcinoma: n =1, colorectal liver metastasis: n =1. After a waiting period of 14 days, the volume of theFLR had increased from 382mlto 578ml, representing a median volume increase of 51% (range =32.5%-86.7%). Of the 11patients with hepatectomy, right hemihepatectomy (n=2), extended right hemihepatectomy (n=5), right trisecmentectomy(2), extended left hemihepatectomy (n=1) and left trisecmentectomy(1). No patient died, and no serve perioperative morbidity occurred. Conclusions: ALPPS and all modifications need two-stage operations with a high morbidity and mortality rate. It seems that TELPP is very promising. It has the merit of ALPPS as extraordinarily rapid increasement of FLRvolume, yet the morbidity and mortality is much lower, owing to the fact that unlike ALPPS, there is no two liver raw surfaces left behind in the abdominal cavity to produce bile leak, as only single surgical operation is required

Online estimation of noise parameters for Kalman filter

Ka-Veng Yuen,Peng-Fei Liang,Sin-Chi Kuok 국제구조공학회 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.3

A Bayesian probabilistic method is proposed for online estimation of the process noise and measurement noise parameters for Kalman filter. Kalman filter is a well-known recursive algorithm for state estimation of dynamical systems. In this algorithm, it is required to prescribe the covariance matrices of the process noise and measurement noise. However, inappropriate choice of these covariance matrices substantially deteriorates the performance of the Kalman filter. In this paper, a probabilistic method is proposed for online estimation of the noise parameters which govern the noise covariance matrices. The proposed Bayesian method not only estimates the optimal noise parameters but also quantifies the associated estimation uncertainty in an online manner. By utilizing the estimated noise parameters, reliable state estimation can be accomplished. Moreover, the proposed method does not assume any stationarity condition of the process noise and/or measurement noise. By removing the stationarity constraint, the proposed method enhances the applicability of the state estimation algorithm for nonstationary circumstances generally encountered in practice. To illustrate the efficacy and efficiency of the proposed method, examples using a fifty-story building with different stationarity scenarios of the process noise and measurement noise are presented.

Online estimation of noise parameters for Kalman filter

Yuen, Ka-Veng,Liang, Peng-Fei,Kuok, Sin-Chi Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.47 No.3

A Bayesian probabilistic method is proposed for online estimation of the process noise and measurement noise parameters for Kalman filter. Kalman filter is a well-known recursive algorithm for state estimation of dynamical systems. In this algorithm, it is required to prescribe the covariance matrices of the process noise and measurement noise. However, inappropriate choice of these covariance matrices substantially deteriorates the performance of the Kalman filter. In this paper, a probabilistic method is proposed for online estimation of the noise parameters which govern the noise covariance matrices. The proposed Bayesian method not only estimates the optimal noise parameters but also quantifies the associated estimation uncertainty in an online manner. By utilizing the estimated noise parameters, reliable state estimation can be accomplished. Moreover, the proposed method does not assume any stationarity condition of the process noise and/or measurement noise. By removing the stationarity constraint, the proposed method enhances the applicability of the state estimation algorithm for nonstationary circumstances generally encountered in practice. To illustrate the efficacy and efficiency of the proposed method, examples using a fifty-story building with different stationarity scenarios of the process noise and measurement noise are presented.

Branched polymeric prodrug/programmed cell death 4 complexes for combinational cancer therapy

Yu‑Jing He,Lei Xing,Peng‑Fei Cui,Jia‑Liang Zhang,Jian‑Bin Qiao,Cheng‑Qiong Luo,Ge Jiang,Hu‑Lin Jiang 한국약제학회 2017 Journal of Pharmaceutical Investigation Vol.47 No.2

Here, we demonstrate a co-delivery system constructed by integrating chemotherapeutic molecules into branched polymeric prodrug which can condense nucleic acids. Demethylcantharidate (DCA) was chosen as a model drug and premodified through nucleophilic substitution reaction by its two carboxylic groups with allyl chloride. The synthesized intermediate (DCA-dially) was then used to polymerize with tris (2-aminoethyl) amine (TAEA) through progressively ammonolysis reaction. The obtained poly (DCA-alt-TAEA) (DCAT) was used to pack PDCD4 into spherical-like nanoparticles through electrostatic interaction. Gel retardation assays implied that DCAT could integrate DNA at the weight ratio of 1 and protect it from digestion by nuclease. Acid-base titration experiments showed that DCAT obtained preferable buffering capability which was beneficial for the endosomal escape of DCAT/PDCD4 complexes. Cellular tests involving gene transfection efficiency and cytotoxicity indicated that DCA and PDCD4 co-delivered by the complexes significantly and synergistically suppressed the viability of SMMC-7721 cells. These results suggest that integrating chemotherapeutic molecules into nucleic acid-packing polymeric prodrug as cationic polymer/PDCD4 complexes is a highly efficient way to co-deliver chemotherapeutic drugs and nucleic acids for cancer therapy.

MACC1 Expression Correlates with PFKFB2 and Survival in Hepatocellular Carcinoma

Ji, Dong,Lu, Zhong-Tang,Li, Yao-Qing,Liang, Zhe-Yong,Zhang, Peng-Fei,Li, Chao,Zhang, Jun-Li,Zheng, Xin,Yao, Ying-Min Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2

Objective: To validate the relationship between MACC1 and 6-phosphofructo-2-kinase/fructose 2, 6 bisphosphatase (PFKFB2) expression as well as its clinicopathological features and prognostic significance in hepatocellular carcinoma. Methods: By using immunohistochemistry, we investigated the MACC1 and PFKFB2 protein expression in 60 pairs of hepatocellular carcinoma and corresponding non-tumor tissues. Using the Mann-Whitney U test, the Chi-square test, Kaplan-Meier survival analysis, Cox proportional hazard regression analysis and Spearman analysis, we studied the relationship between MACC1 and PFKFB2 protein expression and postoperative overall survival (OS) of the HCC patients. Results: MACC1 and PFKFB2 positive staining rates were significantly higher in hepatocellular carcinoma than in the corresponding nontumor tissues (P=0.012 and 0.04, respectively). The clinicopathological features evaluation revealed that positive expression of MACC1 was associated with a high Edmondson classification (P=0.007) and advanced TNM stage (P=0.027). Similar findings were evident for PFKFB2 expression (P=0.002 and P=0.027). MACC1 and PFKFB2 positive expression was associated with a lower OS rate (P=0.004 and 0.03, respectively). Kaplan-Meier survival and Cox proportional hazard regression analyses revealed MACC1 positive expression to be a prognostic factor for postoperative OS, but PFKFB was not. Conclusion: Highly expressed MACC1 and PFKFB2 protein were associated with TNM stage, Edmondson-Steier classification and overall survival. MACC1 may affect tumor metabolism partly through expression and phophorylation of PFKFB2.

Improved Fiber Uniformity and Jet Number in Multi-spinneret Electrospinning via Auxiliary Electrode

Yu-Ke Wu,Zong-Jie Li,Jie Fan,Liang Wang,Peng-Fei Zhang,Jian Liu,Yong Liu 한국섬유공학회 2019 Fibers and polymers Vol.20 No.6

Auxiliary-electrode electrospinning process is a novel technique to improve nanofiber production rate Due to theformation of multiple jets. In the present work, dual-spinneret (DSE) and tri-spinneret electrospinning (TSE) with anauxiliary electrode were employed to evaluate the number of jets and fiber uniformity in this electrospinning process. Theresults showed that all the spinnerets in DSE and TSE with an auxiliary electrode could produce 2-12 jets, which could beadjusted by controlling the process parameters such as applied voltage and injection speed. The number of jets initiallyincreased and then decreased with a rise in applied voltage in these two systems. Moreover, the produced nanofibers weresmaller in size and possessed a more uniform fiber diameter per distribution in comparison to those without the auxiliaryelectrode. This work provides a new insight on mass production of nanofibers and designing electrospinning apparatus.

Ellipsometric Study of the Optical Properties of Silicon-Based Si:SiO2 Composite Thin Films under Different Annealing Temperatures

Bin Sun,Yu-Xiang Zheng,Cong-Hui Xu,Liang-Yao Chen,Peng Zhou,Yue-Rui Chen,Yu-Fei Kong 한국물리학회 2006 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.49 No.5I

In our work, silicon and silica composite .lms were prepared by using a magnetron sputtering method, and the samples were annealed in the temperature range between 200 ±C and 600 ±C. After annealing, the samples were investigated by spectroscopic ellipsometry (SE), and the SE spectra were measured in the range of 1.5 eV ≫ 4.5 eV with a dual-rotating-element ellipsometer. In order to investigate the microstructure information of the .lm by .tting the SE spectra using the eective- medium approximation (EMA), we modeled the whole .lm by using a multilayer optical model including a surface oxide layer, a composite layer, and substrate layer. We used dierent mixtures to describe the composite layer, and .nally we found that a mixture of amorphous silicon (a-Si), polycrystalline silicon (p-Si), and silicon dioxide had the best .t to the SE spectra. Whereafter, we studied the dependences of the surface roughness, the layer structure, and the composition on the dierent annealing temperatures and found that with increasing annealing temperature, the surface oxide layer grew in thickness, the silicon dioxide maintained its volume fraction, and a-Si transferred to p-Si.