Prognostic Value of the Evolution of HER2-Low Expression after Neoadjuvant Chemotherapy

Youzhao Ma,Mingda Zhu,Jingyang Zhang,Minhao Lv,Xiuchun Chen,Zhenzhen Liu 대한암학회 2023 Cancer Research and Treatment Vol.55 No.4

Purpose Patients with human epidermal growth factor receptor 2 (HER2)–low advanced breast cancer can benefit from trastuzumab deruxtecan. Given the unclear prognostic characteristics of HER2-low breast cancer, we investigated the prognostic characteristics of HER2-low expression from primary tumor to residual disease after neoadjuvant chemotherapy (NACT). Materials and Methods The data of HER2-negative patients receiving NACT at our center were collected. Pathological complete response (pCR) rate were compared between HER2-0 and HER2-low patients. The evolution of HER2 expression from primary tumor to residual disease and its impact on disease-free survival (DFS) were examined. Results Of the 690 patients, 494 patients had HER2-low status, of which 72.3% were hormone receptor (HR)–positive (p < 0.001). The pCR rates of HER2-low and HER2-0 patients (14.2% vs. 23.0%) showed no difference in multivariate analysis regardless of HR status. No association was observed between DFS and HER2 status. Of the 564 non-pCR patients, 57 (10.1%) changed to HER2-positive, and 64 of the 150 patients (42.7%) with HER2-0 tumors changed to HER2-low. HER2-low (p=0.004) and HR-positive (p=0.010) tumors before NACT were prone to HER2 gain. HER2 gain patients had a better DFS compared with HER2-negative maintained patients (87.9% vs. 79.5%, p=0.048), and the DFS of targeted therapy group was better than that of no targeted therapy group (92.4% vs. 66.7%, p=0.016). Conclusion Although HER2-low did not affect the pCR rate and DFS, significant evolution of HER2-low expression after NACT creates opportunities for targeted therapy including trastuzumab.

Effect of Cadmium on Biomass and Qualities of Different Chinese

Shuai Liu,Yi Shi,Mingda Liu,Xin Chen 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

A Compact Top-View Conformal Optical System Based on a Single Rotating Cylindrical Lens with Wide Field of Regard

Lin yao Yu,Qun Wei,Jinggao Zheng,Mingda Ge,Tian yi Zhang 한국광학회 2016 Current Optics and Photonics Vol.20 No.1

A new compact conformal dome optical system was established, and the aberration characteristics ofthe dome were investigated using Zernike aberration theory. The aberrations induced by the dome atdifferent fields of regard (FORs) from 30° to 100° were effectively balanced by a rotating cylindrical lens. This kind of optical system can be widely used in top-view optical searching devices. A design methodwas introduced and the optimization results analyzed in detail. The results showed that the Zernikeaberrations produced by the conformal dome were decreased dramatically. Also, a complete conformaloptical system was designed, to further illustrate the aberration correction effect of the rotating cylindricallens. Using a cylindrical lens not only provided a large FOR, but also simplified enormously the structureof the conformal optical system.

Electro-thermal model for lithium-ion battery simulations

Cai, Yibin,Che, Yanbo,Li, Hongfeng,Jiang, Mingda,Qin, Peijun The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.10

With the extensive application of lithium batteries and the continuous improvements in battery management systems and other related technologies, the requirements for fast and accurate modeling of lithium batteries are gradually increasing. Temperature plays a vital role in the dynamics and transmission of electrochemical systems. The thermal effect must be considered in battery models. In this paper, a simulation model of a lithium battery with thermal characteristics is established. This thermal model is coupled with a temperature-dependent 2-RC equivalent circuit model to form an electro-thermal model for lithium-ion batteries. The hybrid pulse power characterization test is used to estimate the equivalent circuit parameters. Finally, under NEDC and DST conditions, battery voltage and temperature estimation results of the electro-thermal model are analyzed to verify the correctness and accuracy of the model. The voltage error is within - 0.16~0.20 V under the NEDC condition. Moreover, under the DST condition, the maximum relative error in the electro-thermal model is within 5%.

The Design of System about Cow Activity Based on SVM

Weizheng Shen,Congcong Chen,Shuang Zheng,Shanjun He,Mingda Li 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.3

In view of the cow extensive farming, which lacks modern management tools, the cow estrus determine are often laid off. In this paper, a cow behavioral characteristic is designed. The system collects X, Y, Z axis acceleration data through triaxial accelerometer ADXL345, by ZigBee wireless network and RS485 sent to the information center, it’s based on the support vector of binary tree to classify their behavior. The result shows, the algorithm for cow’s stationary and moving classification accuracy was 93.26%, a slight and sharp motion accuracy was 84.81%, It provides an effective basis in judging cows in heat or in physical abnormalities. That system contributes to the refinement of cows feeding and health culture,and has great significance for the stable and healthy development of the dairy industry.

Joint SOC–SOP estimation method for lithium‑ion batteries based on electro‑thermal model and multi‑parameter constraints

Peijun Qin,Yanbo Che,Hongfeng Li,Yibin Cai,Mingda Jiang 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.3

Accurate estimations of the state of charge (SOC) and the state of power (SOP) are required to ensure efficient and reliable utilization of Li-ion batteries. A new joint estimation method of SOC–SOP based on the electro-thermal model and multi-parameter constraints is proposed in this paper. The proposed method introduces temperature as one of the important constraints for SOP and considers the intrinsic relationship between SOC and SOP as well as the influence of voltage, temperature, and SOC on SOP estimation. First, an electro-thermal model is developed to describe the electric and thermal dynamic characteristics of a battery. Second, the battery SOC is accurately estimated by the unscented Kalman filter method. Then the state of power of the battery is predicted under the condition of multi-parameter constraints. Finally, experiments are conducted to verify the effectiveness of the proposed method. Simulation and experimental results show that this method has a high degree of estimation accuracy and is very simple to calculate. Under the DST condition, the maximum relative voltage error within the electro-thermal model is about 5%. The maximum estimation error of the peak discharge power does not exceed 5 W, and the overall average estimation error is about 1.2 W.

Dispersion of carbon nanotubes in aluminum improves radiation resistance

So, Kang Pyo,Chen, Di,Kushima, Akihiro,Li, Mingda,Kim, Sangtae,Yang, Yang,Wang, Ziqiang,Park, Jong Gil,Lee, Young Hee,Gonzalez, Rafael I.,Kiwi, Miguel,Bringa, Eduardo M.,Shao, Lin,Li, Ju unknown 2016 Nano energy Vol.22 No.-

<P><B>Abstract</B></P> <P>We can mass-produce metal/carbon nanotube (CNT) composites that show improved radiation tolerance. The 0.5wt% Al+CNT composite showed improved tensile strength without reduction of tensile ductility before radiation, and reduced void/pore generation and radiation embrittlement at high displacements per atom (DPA). Under helium ion irradiation up to 72DPA, the 1D carbon nanostructures survive, while sp<SUP>2</SUP> bonded graphene transforms to sp<SUP>3</SUP> tetrahedral amorphous carbon. Self-ion (Al) irradiation converts CNTs to a metastable form of Al<SUB>4</SUB>C<SUB>3</SUB>, but still as slender 1D nanorods with prolific internal interfaces that catalyze recombination of radiation defects, reducing radiation hardening and porosity generation. The 1D fillers may also form percolating paths of “nano-chimneys” that outgas the accumulated helium and other fission gases, providing an essential solution to the gas accumulation problem.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Dispersion of CNTs showed improved tensile strength without reduction of ductility. </LI> <LI> CNTs in Al reduced void/pore generation and radiation embrittlement at high DPA. </LI> <LI> Under He ion irradiation, 1D CNTs survive, while sp<SUP>2</SUP> bond transform to sp<SUP>3</SUP> carbon. </LI> <LI> Formation of metastable 1D Al<SUB>4</SUB>C<SUB>3</SUB> from CNTs still recombine radiation defects. </LI> <LI> This nanocomposite can help improve bulk properties for nuclear applications. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

Determination of Hg2+ Based on the Selective Enhancement of Peroxidase Mimetic Activity of Hollow Porous Gold Nanoparticles

Mingzhen Guo,Jiang He,Shuang Ma,Xiaohan Sun,Mingda Zheng 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.4

In this paper, a novel colorimetric biosensor for Hg2+ is presented based on Hg2+ stimulated peroxidase-like activity of hollow porous gold nanoparticles (HPGNPs). Under mild conditions, HPGNPs show high catalytic activity toward the oxidation of 3, 3' , 5, 5' -tetramethylbenzidine (TMB) using H2O2 as an oxidant. The peroxidase-like activity of HPGNPs is "switched-on" selectively in the presence of Hg2+, which permitted a novel and facile colorimetric sensor for Hg2+. This method exhibits many merits like high selectivity and sensitivity. As low as 18.5 nM Hg2+ could be determined at a linear range from 0.5 x 10 -6 M to 50 x 10 -6 M. This method is successfully applied for the determination of total mercury content in tap water and Yellow River which indicates that the method has a great potential for the routine determination of Hg2+ in environmental samples.

Parameterized Modeling of Spatially Varying PSF for Lens Aberration and Defocus

Wang Chao,Chen Juan,Jia Hongguang,Shi Baosong,Zhu Ruifei,Wei Qun,Yu Linyao,Ge Mingda 한국광학회 2015 Current Optics and Photonics Vol.19 No.2

Image deblurring by a deconvolution method requires accurate knowledge of the blur kernel. Existingpoint spread function (PSF) models in the literature corresponding to lens aberrations and defocus are eitherparameterized and spatially invariant or spatially varying but discretely defined. In this paper, aparameterized model is developed and presented for a PSF which is spatially varying due to lens aberrationsand defocus in an imaging system. The model is established from the Seidel third-order aberrationcoefficient and the Hu moment. A skew normal Gauss model is selected for parameterized PSF geometrystructure. The accuracy of the model is demonstrated with simulations and measurements for a defocusedinfrared camera and a single spherical lens digital camera. Compared with optical software Code V, thevisual results of two optical systems validate our analysis and proposed method in size, shape and direction. Quantitative evaluation results reveal the excellent accuracy of the blur kernel model