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王星雨(Xingyu Wang),王翔宇(Xiangyu Wang),王晗(Han Wang) YIXIN 출판사 2023 Journal of China Studies Vol.1 No.5
经济全球化及“双碳”政策深入推进下,我国更加注重生态文明建设,逐渐加大农业绿色发展力度,已经初步获得良好的发展成效。不过农业发展中,在生态环境治理方面,仍面临较大挑战,应借助更多的方式,更好地实现农业绿色发展目标。对于绿色金融而言,其属于一种金融工具以及政策手段,能够有效提升农业生产效率,并且在农业碳排放控制上发挥着重要作用。基于此,本文简要探讨了绿色金融与农业碳排放相关内容,对绿色金融和农业碳排放现状予以分析,阐述绿色金融对农业碳排放的影响,并针对性地提出了双碳背景下绿色金融降低农业碳减排的相关政策建议,以期为农业碳减排目标的实现提供助力。 Under the deepening of economic globalization and the “dual-carbon”policy, China has paid more attention to the construction of an ecological civilization and has gradually increased its efforts in the green development of agriculture, which has initially gained good development results. However, in agricultural development, in the ecological environment management, still face greater challenges, should use more ways to better achieve the goal of green development of agriculture. For green finance, it belongs to a financial tool and policy instruments, can effectively enhance the efficiency of agricultural production, and play an important role in the control of agricultural carbon emissions. Based on this, this paper briefly discusses the green finance and agricultural carbon emission related content, analyzes the status quo of green finance and agricultural carbon emission, explains the impact of green finance on agricultural carbon emission, and puts forward the relevant policy recommendations of green finance to reduce agricultural carbon emission in the context of dual-carbon, with a view to providing assistance for the realization of the goal of agricultural carbon emission reduction.
Structure and Electrical Performance of Na<sub>2</sub>C<sub>6</sub>O<sub>6</sub> under High Pressure
Wang, Xuan,Zhang, Peijie,Tang, Xingyu,Guan, Junjie,Lin, Xiaohuan,Wang, Yajie,Dong, Xiao,Yue, Binbin,Yan, Jinyuan,Li, Kuo,Zheng, Haiyan,Mao, Ho-kwang American Chemical Society 2019 The Journal of Physical Chemistry Part C Vol. No.
<P>Sodium rhodizonate (Na<SUB>2</SUB>C<SUB>6</SUB>O<SUB>6</SUB>) has very high theoretical capacity as a positive electrode material of sodium-ion batteries, but it still has problems such as low actual capacity and poor electronic/ionic conductivity. In order to improve its conductivity, we investigated its structure and electrical properties under high pressure. By performing in situ X-ray diffraction, Raman, infrared absorption, and alternating current impedance spectroscopy in the range of 0-30 GPa at room temperature, we observed a phase transition at ∼11 GPa, with the conductivity increasing by an order of magnitude. Above ∼20 GPa, Na<SUB>2</SUB>C<SUB>6</SUB>O<SUB>6</SUB> gradually amorphized. During the decompression process, the pressure regulation of the structure and properties of the material are reversible. Our study shows that applying external pressure is an effective tool to improve the conductivity of molecular battery materials. The investigation will help to obtain next-generation electrode materials.</P> [FIG OMISSION]</BR>
Automatic Sleep Stage Determination for Sleep Apnea Syndrome Patients
Bei Wang,Takenao Sugi,Fusae Kawana,Xingyu Wang,Masatoshi Nakamura 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic sleep stage deter-mination algorithm for clinical practice. Gaussi and is tribution was adopted to realize automatic parameter selection while Cauchy distribution was a dopted to estimate the parameter distriution. The different usage of multivariate probability distribution of Gaussian and Cauchy distribution presented effectiveness for automatic sleep stage determination.
An Approach Based on Statistical Features to Fall Detection
Hui Wang,Xiaohe Chen,Xingyu Wu,XinjianChen,Lirong Wang 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12
Falls in elderly is a very serious health problem. For these years, the wearable devices based on tri-axial accelerator has been proven to be an effective way to fall detection. Most current methods for fall detection are based on threshold and machine learning. A approach based on statistical features was proposed to distinguish falls and normal activities of daily living(ADL) in this paper. What is worth mentioning is that Kernel Principal component analysis(KPCA) is firstly used to extract the statistical features from the original 3D data of acceleration, we don’t need to design features specially. The support vector machine (SVM) algorithm and K-Nearest Neighbor(KNN) algorithm are combined for prediction. Finally the validation of the prediction is done to improve the accuracy. Algorithm is mainly conducted on the public databases(UCI). And our method obtained the result is proved to be better compared with the other literature based on this public databases.
Bei Wang,Takenao Sugi,Fusae Kawana,Xingyu Wang,Masatoshi Nakamura 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
An automatic sleep stage determination system dealing with the sleep data contaminated by artifacts is developed, which is working on an expert knowledge-based multi-valued decision making method. The knowledge database is consisted of probability density functions of parameters for various sleep stages according to the visual inspection by a qualified clinician. The probability density functions are approximated by Cauchy distribution on histograms. Sleep stages are determined automatically according to the maximum value of conditional probability. Due to the infinite variance of Cauchy distribution, the effect of mis-determination caused by artifacts can be abated. The result of automatic sleep stage determination was satisfactory. The presented automatic sleep stage determination can be an assistant tool for clinical practice.
Non-uniform wind environment in mountainous terrain and aerostatic stability of a bridge
Xingyu Chen,Junjie Guo,Haojun Tang,Yongle Li,Lei Wang 한국풍공학회 2020 Wind and Structures, An International Journal (WAS Vol.30 No.6
The existence of a dam has potential effects on the surrounding wind environment especially when it is located in mountainous areas. In this situation, the long-span bridge over the reservoir can easily be exposed to non-uniform incoming flows, affecting its wind-resistance performance. This paper presents a study on the aerostatic stability of such a bridge. Wind tunnel tests were first carried out to investigate the wind environment above a mountainous reservoir. The results show that the angle of attack and the wind speed along the bridge axis show obvious non-uniform characteristics, which is related to the inflow direction. When winds come from the south where the river is winding, the angle of attack varies along the span direction significantly. The finite element model for the bridge was established using ANSYS software, and effects of non-uniform wind loads on the aerostatic stability were computed. Non-uniform angle of attack and wind speed are unfavorable to the aerostatic stability of the bridge, especially the former. When the combined action of non-uniform angle of attack and wind speed is considered, the critical wind speed of aerostatic instability is further reduced. Moreover, the aerostatic stability of the bridge is closely related to the dam height.
Dynamic Response of Pavement under FWD using Spectral Element Method
Xingyu Gu,Lin-Bing Wang,Sheng Cheng,Fujian Ni 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.4
This paper presents the development of Spectral Element Method (SEM) for simulating pavement response under FWD pulseloads. Based on Fourier-Bessel function and Fast Fourier Transform, the algorithms and procedures of SEM are introduced,including the formation of layered stiffness matrix and system stiffness matrix with different bond conditions between twointerfaces. Deflections calculated from the SEM under different pulse durations are compared and verified with staticdeflections calculated from BISAR3 and measured dynamic deflections separately. Research results indicate that pavementdeflections are sensitive to load pulse duration. The SEM can also be used to solve viscoelastic problems by choosing properrheological models.
Achalasia: The Current Clinical Dilemma and Possible Pathogenesis
Xingyu Jia,Songfeng Chen,Qianjun Zhuang,Niandi Tan,Mengyu Zhang,Yi Cui,Jinhui Wang,Xiangbin Xing,Yinglian Xiao 대한소화기 기능성질환∙운동학회 2023 Journal of Neurogastroenterology and Motility (JNM Vol.29 No.2
Achalasia is a primary esophageal motility disorder manifested by dysphagia and chest pain that impair patients’ quality of life, and it also leads to chronic esophageal inflammation by food retention and increases the risk of esophageal cancer. Although achalasia has long been reported, the epidemiology, diagnosis and treatment of achalasia are not fully understood. The current clinical dilemma of achalasia is mainly due to its unclear pathogenesis. In this paper, epidemiology, diagnosis treatment, as well as possible pathogenesis of achalasia will be reviewed and summarized. The proposed hypothesis on the pathogenesis of achalasia is that genetically susceptible populations potentially have a higher risk of infection with viruses, triggering autoimmune and inflammation responses to inhibitory neurons in lower esophageal sphincter.