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Rare Metals 2021年第5期40卷 1099-1109页

作者： Bao-shan he Jia-Wen Li School of Food Science and Technology Henan University of TechnologyZhengzhou 450001China

CoSe_(2) nanosheet materials with a wrinkled sheet structure and large surface area were synthesized via a simple hydrothermal *** polyethyleneimine(PEI)was used to functionalize wrinkled CoSe_(2)(w-CoSe_(2))to make gold nanocubes(AuNCs)uniformly anchored onto the surface of PEI-w-CoSe_(2) via Au-N *** its application in electrochemical immunosensors for the detection of dipropyl phthalate(DPrP)was *** obtained material was characterized by the Fourier transform infrared spectroscopy(FTIR),transmission electron microscope(TEM),energydispersive spectroscopy(EDS),X-ray diffraction(XRD)and Raman *** effective surface area and conductivity of the electrode were enhanced by the introduction of AuNCs/PEI-w-CoSe_(2) *** voltammetry(CV),differential pulse voltammetry(DPV)and electrochemical impedance spectroscopy(EIS)were used to characterize the performance of *** DPrP binds to antibodies via the antigen-antibody interaction,[Fe(CN)6]3-/4-was used as a signal probe to monitor the change of oxidation current of different DPrP *** optimal conditions,the electrochemical responses of the prepared immunosensor were linear when the DPrP concentrations ranged from 1×10^(-11) to 1×10^(-5) mol·L-1,with a detection limit of 1.39×10^(-12) mol·L^(-1).The coefficient of determination(R2)is 0.995,indicating that the degree of fitting is ***,the constructed immunosensor exhibited acceptable reproducibility,selectivity,and ***,it may be found that the composite material has good application prospects in the electrochemical sensors field.

关键词： CoSe_(2)nanosheets Polyethyleneimine Gold nanocubes Dipropyl phthalate

Information Conservation in a Noncommutative Quantum Black Hole Based on Canonical Typicality

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Communications in Theoretical Physics 2019年第8期71卷 1007-1010页

作者： Dong-shan he College of Physics and Electronic Engineering Xianyang Normal University

A method for calculating the radiation spectrum of an arbitrary black holes was recently proposed by Ma et al.,[***.122(2018) 30001] in which a non-thermal spectrum of a black hole can be obtained from its entropy using an approach based on canonical *** non-thermal spectrum of a black hole enables a nonzero correlation between the black hole and its radiation, which can ensure that information is conserved during black hole *** this paper, by using the Kantowski-Sachs metric and Feynman-Hibbs procedure, the entropy of a noncommutative quantum black hole is calculated based on the Wheeler-DeWitt ***, the radiation spectrum of the noncommutative quantum black hole is studied based on canonical typicality *** last, the correlation between the radiation spectra is *** is shown that the noncommutative effect increases the correlation among radiation and the information remains conserved for noncommutative quantum black holes.

关键词： information conservation noncommutative black hole canonical typicality

Emotion recognition from thermal infrared images using deep Boltzmann machine

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Frontiers of Computer Science 2014年第4期8卷 609-618页

作者： shangfei WANG Menghua he Zhen GAO shan he Qiang JI School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab of Computing and Communicating Software of Anhui Province Hefei 230027 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180-3590 USA

Facial expression and emotion recognition from thermal infrared images has attracted more and more attentions in recent years. However, the features adopted in current work are either temperature statistical parameters extracted from the facial regions of interest or several hand-crafted features that are commonly used in visible spectrum. Till now there are no image features specially designed for thermal infrared images. In this paper, we propose using the deep Boltzmann machine to learn thermal features for emotion recognition from thermal infrared facial images. First, the face is located and normalized from the thermal infrared im- ages. Then, a deep Boltzmann machine model composed of two layers is trained. The parameters of the deep Boltzmann machine model are further fine-tuned for emotion recognition after pre-tralning of feature learning. Comparative experimental results on the NVIE database demonstrate that our approach outperforms other approaches using temperature statistic features or hand-crafted features borrowed from visible domain. The learned features from the forehead, eye, and mouth are more effective for discriminating valence dimension of emotion than other facial areas. In addition, our study shows that adding unlabeled data from other database during training can also improve feature learning performance.

关键词： emotion recognition thermal infrared images deep Boltzmann machine

Fusion of visible and thermal images for facial expression recognition

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维普期刊数据库

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Frontiers of Computer Science 2014年第2期8卷 232-242页

作者： shangfei WANG shan he Yue WU Menghua he Qiang JI School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab of Computing and Communicating Software of Anhui Province Hefei 230027 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY12180-3590 USA

Most present research into facial expression recognition focuses on the visible spectrum, which is sen- sitive to illumination change. In this paper, we focus on in- tegrating thermal infrared data with visible spectrum images for spontaneous facial expression recognition. First, the ac- tive appearance model AAM parameters and three defined head motion features are extracted from visible spectrum im- ages, and several thermal statistical features are extracted from infrared （IR） images. Second, feature selection is per- formed using the F-test statistic. Third, Bayesian networks BNs and support vector machines SVMs are proposed for both decision-level and feature-level fusion. Experiments on the natural visible and infrared facial expression （NVIE） spontaneous database show the effectiveness of the proposed methods, and demonstrate thermal 1R images＇ supplementary role for visible facial expression recognition.

关键词： facial expression recognition feature-level fu-sion decision-level fusion support vector machine Bayesiannetwork thermal infrared images visible spectrum images

Endless Hide-and-Seek： Dynamic Co-evolution in Plant-Bacterium Warfare

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维普期刊数据库

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Journal of Integrative Plant Biology 2007年第1期49卷 105-111页

作者： Libo shan Ping he Jen Sheen Department of Molecular Biology Massachusetts General Hospital and Department of Genetics Boston Massachusetts 02114 USA

Plants possess innate Immune systems to prevent most potential Infections. The ancient and conserved innate immune responses are triggered by microbe-associated molecular patterns （MAMPs） and play important roles in broad-spectrum defenses. However, successful bacterial pathogens evolved type Ⅲ virulence effectors to suppress MAMP-medlated immunity. To survive, plants further developed highly specific resistance （R） genes to trigger gene-for-gene-mediated immunity and turn the virulent pathogens into avirulent ones. We summarize here the very recent advances in this dynamic coevolution of plantbacterium interaction.

关键词： MAMP type Ⅲ effector gene-for-gene resistance

Quick evaluation and regulation of the maximum instantaneous power and matching resistance for droplet-based electricity generators

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维普期刊数据库

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Nano Research 2024年第11期17卷 9999-10007页

作者： Zhifeng Hu Huamei Zhong he shan Ruzhu Wang Institute of Refrigeration and Cryogenics Shanghai Jiao Tong University Shanghai 200240 China Engineering Research Center of Solar Power and Refrigeration Ministry of Education (MOE) Shanghai 200240 China

Droplet-based electricity generators (DEGs) leveraging triboelectric effects are simple and high-performance devices for harvesting energy from ubiquitous water droplets. Instantaneous power plays a vital role in wide applications of DEGs. However, the governing law of the maximum instantaneous power and matching resistance is lacking and their determination suffers from heavy repetitive experiments, hindering the development of DEGs. herein, we propose a quick evaluation method for the internal droplet impedance, instantaneous peak power, maximum instantaneous power and matching resistance which exhibits broad universality and excellent accuracy. Moreover, effects of diverse factors pertaining to droplets and devices are fully investigated, highlighting that the maximum instantaneous power and matching resistance can be effectively regulated across multiple orders of magnitudes by controlling the salt concentration. Our findings shed insights into the understanding, evaluation, and regulation of instantaneous power for DEGs, and shall promote the renovation of the DEG technology.

关键词： droplet-based electricity generator maximum instantaneous power matching resistance quick evaluation method power regulation

heat Recovery for Adsorption Refrigeration System via Pinch Technology

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维普期刊数据库

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Journal of Thermal Science 2022年第2期31卷 379-389页

作者： PAN Quanwen shan he TAMAINOT-TELTO Zacharie WANG Ruzhu Institute of Refrigeration and Cryogenics Shanghai Jiao Tong UniversityShanghai 200240China Engineering Research Center of Solar Power and Refrigeration MOEShanghai 200240China School of Engineering University of WarwickCoventry CV47ALUK

An adsorption refrigeration system can be driven by low grade heat and uses natural refrigerant with the advantage of reducing the greenhouse gases ***,one of the weaknesses is its low efficiency and more importantly its high *** recovery of internal waste heat becomes therefore very important in order to improve the coefficient of performance(COP).Analysis based on pinch technology can be helpful to optimal heat recovery *** this paper,temperature-heat diagrams and problem tables for adsorption refrigeration systems are proposed and analyzed using Pinch *** results show that pinch point is located between beds and the main waste heat needs to be recovered between *** characteristic(time factor)of adsorption refrigeration system is the main resistance for heat *** effect of pinch point temperature difference on the system COP is not ***,when the driving temperature is 90°C,the COP of adsorption refrigeration via optimization of pinch analysis is 0.73 which is fairly comparable to Li Br-water absorption refrigeration *** Technology can be adopted in different types of adsorption refrigeration systems(two-bed,four-bed,mass recovery,et al.).

关键词： heat recovery adsorption refrigeration pinch point pinch technology silica gel-water

Learning with privileged information using Bayesian networks

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Frontiers of Computer Science 2015年第2期9卷 185-199页

作者： shangfei WANG Menghua he Yachen ZHU shan he Yue LIU Qiang JI School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab of Computing and Communicating Software of Anhui Province Hefei 230027 China School of Mathematical Sciences University of Science and Technology of China Hefei 230027 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY 12180-3590 USA

For many supervised learning applications, addi- tional information, besides the labels, is often available dur- ing training, but not available during testing. Such additional information, referred to the privileged information, can be exploited during training to construct a better classifier. In this paper, we propose a Bayesian network （BN） approach for learning with privileged information. We propose to in- corporate the privileged information through a three-node BN. We further mathematically evaluate different topologies of the three-node BN and identify those structures, through which the privileged information can benefit the classifica- tion. Experimental results on handwritten digit recognition, spontaneous versus posed expression recognition, and gender recognition demonstrate the effectiveness of our approach.

关键词： Bayesian network privileged information clas-sification maximum likelihood estimation

Maximally Generalized Yang-Mills Model and Dynamical Breaking of Gauge Symmetry

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Communications in Theoretical Physics 2006年第2期45卷 297-300页

作者： WANG Dian-Fu SONG he-shan Department of Physics Dalian Maritime University Dalian 116024 China Department of Physics Dalian University of Technology Dalian 116024 China

A maximally generalized Yang-Mills model, which contains, besides the vector part Vμ, also an axial-vector part Aμ, a scalar part S, a pseudoscalar part P, and a tensor part Tμv, is constructed and the dynamical breaking of gauge symmetry in the model is also discussed. It is shown, in terms of the Nambu Jona-Lasinio mechanism, that the gauge symmetry breaking can be realized dynamically in the maximally generalized Yang-Mills model. The combination of the maximally generalized Yang-Mills model and the NJL mechanism provides a way to overcome the difficulties related to the Higgs field and the Higgs mechanism in the usual spontaneous symmetry breaking theory.

关键词： Yang-Millstheory dynamical-symmetry breaking

A Prediction Model of MF Radiation in Environmental Assessment

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Biomedical and Environmental Sciences 2006年第5期19卷 405-408页

作者： he-shan GE YAN-FENG HONG Institute for Environmental health and Related Product Safety China CDC Beijing 100050 China

Objective To predict the impact of MF radiation on human health. Methods The vertical distribution of field intensity was estimated by analogism on the basis of measured values from simulation measurement. Results A kind of analogism on the basis of geometric proportion decay pattern is put forward in the essay. It showed that with increasing of height the field intensity increased according to geometric proportion law. Conclusion This geometric proportion prediction model can be used to estimate the impact of MF radiation on inhabited environment, and can act as a reference pattern in predicting the environmental impact level of MF radiation.

关键词： MF radiation Electromagnetic environment Predictive model Environmental impact assessment