Dynamics of a Stochastic Epidemic Model with Age-group

A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,the aging rates between two age groups are set to be constant.The existence-and-uniqueness of global positive solution is firstly showed.Then,by constructing several appropriate Lyapunov functions and using the high-dimensional Itô’s formula,the sufficient conditions for the stochastic extinction and stochastic persistence of the exposed individuals and the infected individuals are obtained.The stochastic extinction indicator and the stochastic persistence indicator are less-valued expressions compared with the basic reproduction number.Meanwhile,the main results of this study are modified into multi-age groups.Furthermore,by using the surveillance data for Fujian Provincial Center for Disease Control and Prevention,Fuzhou COVID-19 epidemic is chosen to carry out the numerical simulations,which show that the age group of the population plays the vital role when studying infectious diseases.

Medical Diagnosis Based on Multi-Attribute Group Decision-Making Using Extension Fuzzy Sets,Aggregation Operators and Basic Uncertainty Information Granule

Accurate medical diagnosis,which involves identifying diseases based on patient symptoms,is often hindered by uncertainties in data interpretation and retrieval.Advanced fuzzy set theories have emerged as effective tools to address these challenges.In this paper,new mathematical approaches for handling uncertainty in medical diagnosis are introduced using q-rung orthopair fuzzy sets(q-ROFS)and interval-valued q-rung orthopair fuzzy sets(IVq-ROFS).Three aggregation operators are proposed in our methodologies:the q-ROF weighted averaging(q-ROFWA),the q-ROF weighted geometric(q-ROFWG),and the q-ROF weighted neutrality averaging(qROFWNA),which enhance decision-making under uncertainty.These operators are paired with ranking methods such as the similarity measure,score function,and inverse score function to improve the accuracy of disease identification.Additionally,the impact of varying q-rung values is explored through a sensitivity analysis,extending the analysis beyond the typical maximum value of 3.The Basic Uncertain Information(BUI)method is employed to simulate expert opinions,and aggregation operators are used to combine these opinions in a group decisionmaking context.Our results provide a comprehensive comparison of methodologies,highlighting their strengths and limitations in diagnosing diseases based on uncertain patient data.

High mobility group box 1 in the central nervous system:regeneration hidden beneath inflammation

High-mobility group box 1 was first discovered in the calf thymus as a DNA-binding nuclear protein and has been widely studied in diverse fields,including neurology and neuroscience.High-mobility group box 1 in the extracellular space functions as a pro-inflammatory damage-associated molecular pattern,which has been proven to play an important role in a wide variety of central nervous system disorders such as ischemic stroke,Alzheimer’s disease,frontotemporal dementia,Parkinson’s disease,multiple sclerosis,epilepsy,and traumatic brain injury.Several drugs that inhibit high-mobility group box 1 as a damage-associated molecular pattern,such as glycyrrhizin,ethyl pyruvate,and neutralizing anti-high-mobility group box 1 antibodies,are commonly used to target high-mobility group box 1 activity in central nervous system disorders.Although it is commonly known for its detrimental inflammatory effect,high-mobility group box 1 has also been shown to have beneficial pro-regenerative roles in central nervous system disorders.In this narrative review,we provide a brief summary of the history of high-mobility group box 1 research and its characterization as a damage-associated molecular pattern,its downstream receptors,and intracellular signaling pathways,how high-mobility group box 1 exerts the repair-favoring roles in general and in the central nervous system,and clues on how to differentiate the pro-regenerative from the pro-inflammatory role.Research targeting high-mobility group box 1 in the central nervous system may benefit from differentiating between the two functions rather than overall suppression of high-mobility group box 1.

金融机构ESG投资的“漂绿”与“反漂绿”——基于DWSGroup的案例分析

深化绿色金融发展、助力经济绿色发展,是实现“双碳”目标的重要途径,特别是在ESG理念盛行的今天,金融机构的ESG投资行为因其深远影响而颇受投资者青睐,但层出不穷的“漂绿”现象也牢牢制约着绿色金融的发展,制约着ESG投资的发展。西方国家作为绿色金融发展先驱,从信息披露、制度监管、实践探索等方面对“漂绿”现象进行了研究和治理。本文在学习其先进经验的基础上,基于舞弊三角理论对DWSGroup案例进行分析,从压力、机会和自我合理化因素角度对金融机构ESG投资“漂绿”行为的动因进行分析,并据此提出我国“反漂绿”体系框架,以期为绿色金融的平稳发展和“双碳”目标的实现作出贡献。

DAXINGHUA——INDUSTRIAL(GROUP)COMPANY IN SHANDONG

The Daxinghua Industrial Company inLaiwu City,Shandong Province iscomposed of 28 enterprises includingthe Laiwu Second Dyeing and WeavingFactory,Laiwu Textile Mill,Xinghua Branchof the Laiwu Special Steel Works.XinghuaWelding Electrode Factory,Laiwu Rare-earth Metals Alloy Factory,Xinghua NewWaterproof Materials Co.Ltd of QiluPetrochemical Corporation,Dashun

Shantou Ocean (Group) Company

The Shantou Ocean (Group) Company has been listed as one of China’s largest 500 industrial enterprises and import and export enterprises for three consecutive years. It has set up six companies in Hongkong and three companies in the United States. Its annual export value is US$50 million. The group produces and handles petrochemical products, such as polybenzene, polyester, film, plastic con-

Herr Group Company

Headed by the Qingdao Herr Refrigerator Co. Ltd., the Herr Group Company has 70 enterprises and scientific research institutions, including the Qingdao General Refrigerator Factory, Qingdao Air conditioner Factory, Qingdao Microwave Appliance Factory, Qingdao Herr Plastics Factory, Qingdao Herr Commercial Development Company, Qingdao Herr Electronics Company, Qingdao Herr Import-export Company, Qingdao Herr Products Service Company and the Sino-foreign joint ventures Mitsubishi Herr (Qingdao) Air conditioner Co. Ltd., Wel Electronics Co. Ltd., Mel Powder Coating Co. Ltd., Yuefeng Herr Electricity Co. Ltd., and the Qingdao Herr Kitchen Utensil Cleaner Co. Ltd. The group occupies 690。

Zhongfu Industrial Group Company

Located on the west bank of the Pearl River, the Zhongfu Industrial Group Company in Zhuhai City was founded in 1982. Originally a township enterprise engaged in processing with supplied materials, the company now boasts 16 solely-owned factories, a dozen associated enterprises in the major cities of the country, five Sino-foreign joint ventures and an industrial park in Zhuhai covering an area of more than 500,000 sq.m. Its fixed assets are estimated at RMB400 million and its annual output value stands at RMB900 million.

Tieshu Textile Group Company

The Tieshu Textile Group Company,located in the Suizhou City of HubeiProvince, is a state-owned largeenterprise with a history of 30 years. It has5,000 staff and workers, fixed assests ofRMB 180 million and an annual output valueof RMB 160 million and pretax profits ofRMB23 million. Its major business scope istextiles, printing and dyeing, and garments.Products include six series of ring-spindlespun yarn, jet-steam spun yarn, heavy-finishdenim, industrial cloth, garment canvas anddenim garments. Its yarn and cloth are in 40varieties, and garments, 100 varieties.

Jiangsu Kangbo Group Company

The Jiangsu Kangbo Group is a state-grade enterprise group with total assets reaching RMB320 million. In 1996, the company realized sales income of RMB380 million, pre-tax profits of RMB61.56 million, ranking first among enterprises for pre-tax profits in Changshu City.

Huangshan Jinma Group Company

The Huangshan Jinma Group Company(HJGC) stands at the foot of MountHuangshan, a beautiful international tourismresort, with convenient air, railway, highwayand waterway communication. The company,based on the Huangshan Jinma Meter LimitedLiability Company, is composed of 27enterprises, including the Sino-foreign JointVenture Huangshan Jienasi Electronics Co.Ltd., Huangshan No. 2 Meter Factory andNo. 3 Factory, the Huangshan XinzhouMachinery Factory, the Sino-foreign JointVenture Huangshan Qingliangfeng MineralWater and Food Co. Ltd., Jinma Hotel andBenyue Trade Centre, with pluralisticownership and property rights. It is one

China Yaohua Glass Group Company

The China Yaohua Glass Group Company is China’s current largest glass production enterprise. It has a production history of over 70 years, and has been generally accepted as "a cradle of China’s glass industry". The main products of the Yaohua Group at present include plate glass, floating method glass, embossed glass, colour heat-absorbing glass, flat-bend-

Combined Promoting Effects of Specific Organic Functional Groups and Alumina Surface Characteristics for the Design of a Highly Efficient NiMo/Al_(2)O_(3) Hydrodesulfurization Catalyst

To prepare a highly efficient NiMo/Al_(2)O_(3) hydrodesulfurization catalyst,the combined effects of specific organic functional groups and alumina surface characteristics were investigated.First,the correlation between the surface characteristics of four different alumina and the existing Mo species states was established.It was found that the Mo equilibrium adsorption capacity can be used as a specific descriptor to quantitatively evaluate the changes in surface characteristics of different alumina.A lower Mo equilibrium adsorption capacity for alumina means weaker metal-support interaction and the loaded Mo species are easier to transform into MoS2.However,the Mo-O-Al bonds still exist at the metal-support interface.The introduction of cationic surfactant hecadecyl trimethyl ammonium bromide(CTAB)can further improve Mo species dispersion through electrostatic attraction with Mo anions and interaction of its alkyl chain with the alumina surface;meanwhile,the introduction of ethylenediamine tetraacetic acid(EDTA)can complex with Ni ions to enhance the Ni-promoting effect on Mo.Therefore,the NiMo catalyst designed using alumina with lower Mo equilibrium adsorption capacity and the simultaneous addition of EDTA and CTAB exhibits the highest hydrodesulfurization activity for 4,6-dimethyl dibenzothiophene because of its proper metal-support interaction and more well-dispersed Ni-Mo-S active phases.

Channel Correlation Based User Grouping Algorithm for Nonlinear Precoding Satellite Communication System

Low Earth Orbit(LEO)multibeam satellites will be widely used in the next generation of satellite communication systems,whose inter-beam interference will inevitably limit the performance of the whole system.Nonlinear precoding such as Tomlinson-Harashima precoding(THP)algorithm has been proved to be a promising technology to solve this problem,which has smaller noise amplification effect compared with linear precoding.However,the similarity of different user channels(defined as channel correlation)will degrade the performance of THP algorithm.In this paper,we qualitatively analyze the inter-beam interference in the whole process of LEO satellite over a specific coverage area,and the impact of channel correlation on Signal-to-Noise Ratio(SNR)of receivers when THP is applied.One user grouping algorithm is proposed based on the analysis of channel correlation,which could decrease the number of users with high channel correlation in each precoding group,thus improve the performance of THP.Furthermore,our algorithm is designed under the premise of co-frequency deployment and orthogonal frequency division multiplexing(OFDM),which leads to more users under severe inter-beam interference compared to the existing research on geostationary orbit satellites broadcasting systems.Simulation results show that the proposed user grouping algorithm possesses higher channel capacity and better bit error rate(BER)performance in high SNR conditions relative to existing works.

A Novel On-Site-Real-Time Method for Identifying Characteristic Parameters Using Ultrasonic Echo Groups and Neural Network

On-site and real-time non-destructive measurement of elastic constants for materials of a component in a in-service structure is a challenge due to structural complexities,such as ambiguous boundary,variable thickness,nonuniform material properties.This work develops for the first time a method that uses ultrasound echo groups and artificial neural network(ANN)for reliable on-site real-time identification of material parameters.The use of echo groups allows the use of lower frequencies,and hence more accommodative to structural complexity.To train the ANNs,a numerical model is established that is capable of computing the waveform of ultrasonic echo groups for any given set of material properties of a given structure.The waveform of an ultrasonic echo groups at an interest location on the surface the structure with material parameters varying in a predefined range are then computed using the numerical model.This results in a set of dataset for training the ANN model.Once the ANN is trained,the material parameters can be identified simultaneously using the actual measured echo waveform as input to the ANN.Intensive tests have been conducted both numerically and experimentally to evaluate the effectiveness and accuracy of the currently proposed method.The results show that the maximum identification error of numerical example is less than 2%,and the maximum identification error of experimental test is less than 7%.Compared with currently prevailing methods and equipment,the proposefy the density and thickness,in addition to the elastic constants.Moreover,the reliability and accuracy of inverse prediction is significantly improved.Thus,it has broad applications and enables real-time field measurements,which has not been fulfilled by any other available methods or equipment.

Company Profile--Groupe Refraco

Set up in 1996 by the actual main shareholders on the basis of 20 years experience in the refractory industry, Groupe Refraco is a medium sized and private-owned company. In 2004, Goupe Refraco expanded to a group of three divisions that complement each other in giving its industrial clients the highest quality products and services. Groupe Refraco Inc.,

Developing Maanshan Kuangyou Wear-resistant Materials Group Company

Maanshan KuangyouGroup company is a special largeenterprise making wear-resistantmaterials products,integratingscience,industry and trade.Mainproducts are chromium-contentwear-resistant materials and ship-use anchor chains."Kuangyou"Brand balls have been awardedprizes of Quality Products by theprovince and ministry,and prizeof Scientific Progress by theprovince,and are widely appliedin mining,cement,power andchemicals industries.Ship-useanchor chains have an

STANDING FIRM IN CHINA'S AUTO INDUSTRY——An Interview with Huang Xiaoping,General Manager of the Yuejin Auto Group Company

One day in April,our reporters visitedthis national super-large enterprise.Mr Huang Xiaoping,the generalmanager,briefed us on the company’s brilliantpast and bright future. The Yuejin Auto Group Company isfamed all over the world for producing YuejinBrand automobiles.In 1958,the firstgeneration of Yuejin Brand automobiles cameout,and China has since had its first