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Synthesis and field emission of patterned ZnO nanorods
Yong Huang,Ke Yu,Ziqiang Zhu 한국물리학회 2007 Current Applied Physics Vol.7 No.6
a low temperature of 500.C. The patterned ZnO nanorod arrays, a unit area is of. 400 · 100 l m2, are synthesized via vapor phase trans-port method. The surface morphology and composition of the as-synthesized ZnO nanorods are characterized by means of scanningelectron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX). The mechanism of formation of ZnO nanorods is alsol m at the current density of 0.1l A/cm2 and a low threshold eld of 6.2 V/l m at the current density of 1 mA/cm2. So this approach musthave a potential application of fabricating micropatterned oxide thin lms used in FE-based at panel displays.
On nonlinear deflection analysis and dynamic response of sandwich plates based on a numerical method
Yong Huang,Zengshui Liu,Shihan Ma,Sining Liu,Rui Yu 국제구조공학회 2023 Steel and Composite Structures, An International J Vol.47 No.1
Nonlinear forced vibration properties of three-layered plates containing graphene platelets (GPL) filled skins and an auxetic core have been inquired within the present paper. Owning reduced weight as well as reduced stiffness, rectangle-shaped auxetic cores have been frequently made from novel techniques such as additive manufacturing. Here, the rectangle shape core is amplified via the graphene-filled layers knowing that the layers possess uniform and linear graphene gradations. The rectangle shape core has the equivalent material specifications pursuant to relative density value. The sandwich plate is formulated pursuant to Kirchhoff plate theory while a numerical trend has been represented to discretize the plate equations. Next, an analytical trend has been performed to establish the deflection-frequency plots. Large deflections, core density and GPL amplification have showed remarkable impacts on dynamic response of three-layered plates.
Reliable Mobility Evaluation of Organic Field-Effect Transistors With Different Contact Metals
Huang, Fanming,Liu, Ao,Zhu, Huihui,Xu, Yong,Balestra, Francis,Ghibaudo, Gerard,Noh, Yong-Young,Chu, Junhao,Li, Wenwu IEEE 2019 IEEE electron device letters Vol.40 No.4
<P>The reliability of mobility evaluation of organic field-effect transistors (OFETs) is a serious issue because numerous overestimated and underestimated mobilities have been reported recently. A reliable approach to accurately evaluate the OFET mobility is therefore highly desirable. Here, in this letter, two commonly employed methods and the Y function method (YFM) were used to extract the mobilities of indacenodithiophene-co-benzothiadiazole (IDT-BT) OFETs with four different contact metals. The mobilities extracted by the commonly used methods varied greatly with the contact metal and channel length, whereas those extracted by the YFM were very stable and approached the intrinsic mobility of IDT-BT. Our results show that YFM is a precise approach that can be widely used to evaluate the OFET mobility.</P>
Sliding mode control based on neural network for the vibration reduction of flexible structures
Huang, Yong-An,Deng, Zi-Chen,Li, Wen-Cheng Techno-Press 2007 Structural Engineering and Mechanics, An Int'l Jou Vol.26 No.4
A discrete sliding mode control (SMC) method based on hybrid model of neural network and nominal model is proposed to reduce the vibration of flexible structures, which is a robust active controller developed by using a sliding manifold approach. Since the thick boundary layer will reduce the virtue of SMC, the multilayer feed-forward neural network is adopted to model the uncertainty part. The neural network is trained by Levenberg-Marquardt backpropagation. The design objective of the sliding mode surface is based on the quadratic optimal cost function. In course of running, the input signal of SMC come from the hybrid model of the nominal model and the neural network. The simulation shows that the proposed control scheme is very effective for large uncertainty systems.
Association between the TGFBR2 G-875A Polymorphism and Cancer Risk: Evidence from a Meta-analysis
Huang, Yong-Sheng,Zhong, Yu,Yu, Long,Wang, Lin Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.20
Disrupted transforming growth factor-${\beta}$ (TGF-${\beta}$) signaling is involved in the development of various types of cancer and the TGF-${\beta}$ receptor II (TGFBR2) is a key mediator of TGF-${\beta}$ growth inhibitory signals. It is reported that the G-875A polymorphism in TGFBR2 is implicated in risk of various cancers. However, results for the association between this polymorphism and cancer remain conflicting. To derive a more precise estimation, a meta-analysis of 3,808 cases and 4,489 controls from nine published case-control studies was performed. Our analysis indicated that G-875A is associated with a trend of decreased cancer risk for allele A versus(vs.) allele G [odds ratio (OR) =0.64, 95% confidence intervals (CI): 0.55-0.74], as well as for both dominant model [(A/A+G/A) vs. G/G, OR=0.76, 95% CI: 0.64-0.90] and recessive model [A/A vs. (G/G+G/A), OR=0.74, 95% CI: 0.59-0.93). However, larger scale primary studies are required to further evaluate the interaction of TGFBR2 G-875A polymorphism and cancer risk in specific cancer subtypes.
Giant Ganglioneuroma of Thoracic Spine : A Case Report and Review of Literature
Huang, Yong,Liu, Lidi,Li, Qiao,Zhang, Shaokun The Korean Neurosurgical Society 2017 Journal of Korean neurosurgical society Vol.60 No.3
Ganglioneuroma (GN) is a rare benign tumor of neural crest origin usually found in the abdomen, but may occasionally present at uncommon sites including the cervical, lumbar, or sacral spine. However, GNs of thoracic spine are extremely rare. In this report, we describe a 12-year-old girl with giant GN in the thoracic spine, who underwent successful resection (T1-4 level) of the tumor. Histopathological examination confirmed the diagnosis. GN should be considered in the differential diagnosis of any paraspinal mass. A high index of suspicion and correlation of clinico-radiological findings is necessary in differentiating a large benign tumor from a malignant growth. Complete surgical excision is the treatment of choice; however tumor size and location need to be considered for the surgical approach (one-step or multiple surgeries). Close follow-up after surgery is mandatory.
Planet Versions of the State of Schr¨odinger’s Cat Prepared by Using Quantum Measurements
Yong-Yi Huang 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.68 No.8
A classical charged particle travels along a circular orbit and interacts with a silver atom in its ground state fixed at the center of the circle through Biot-Savart coupling. We find that if the silver atom initially lies in a spin superposition state of valence electron, in the co-rotating frame of reference the projected measurements of the spin of silver’s valence electron along the z direction determine the rotational direction, and the projected measurements of that spin along the x or the y direction yield planet versions of the state of Schr¨odinger’s cat.
Yong Wang,Jianfeng Huang,Guoqiang Tan,Jing Huang,Lili Zhang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.1
C-doped BiVO4 with self-heterostructure were synthesized via a facile one-step microwave-hydrothermal route at different reaction temperatures and reaction times. The crystal structure,morphology and photophysical properties of the samples were characterized by X-ray diffraction (XRD), field-emission scanning electron microscope (FE-SEM) and UV-Vis techniques. The photocatalytic properties of the samples were evaluated by the decolorization of rhodamine B under ultraviolet light or simulated visible light irradiation. It was found that pure BiVO4 polyhedrons had a monoclinic structure while C-doped BiVO4 had self-heterostructure with both monoclinic and tetragonal phase. This mixed-phase structure exhibited higher activity than monoclinic structure under ultraviolet light irradiation while monoclinic C-doped BiVO4 had better photocatalytic property under simulated visible light irradiation. The selectivity of the light source with different C-doped BiVO4 self-heterostructures was also discussed in this work.
Optimal sensor placement for structural health monitoring based on deep reinforcement learning
Yong Huang,Xianghao Meng,Haoyu Zhang,Kailiang Jia,Hui Li 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.31 No.3
In structural health monitoring of large-scale structures, optimal sensor placement plays an important role because of the high cost of sensors and their supporting instruments, as well as the burden of data transmission and storage. In this study, a vibration sensor placement algorithm based on deep reinforcement learning (DRL) is proposed, which can effectively solve non-convex, high-dimensional, and discrete combinatorial sensor placement optimization problems. An objective function is constructed to estimate the quality of a specific vibration sensor placement scheme according to the modal assurance criterion (MAC). Using this objective function, a DRL-based algorithm is presented to determine the optimal vibration sensor placement scheme. Subsequently, we transform the sensor optimal placement process into a Markov decision process and employ a DRLbased optimization algorithm to maximize the objective function for optimal sensor placement. To illustrate the applicability of the proposed method, two examples are presented: a 10-story braced frame and a sea-crossing bridge model. A comparison study is also performed with a genetic algorithm and particle swarm algorithm. The proposed DRL-based algorithm can effectively solve the discrete combinatorial optimization problem for vibration sensor placements and can produce superior performance compared with the other two existing methods.