Reflections on Improvement of Utility Model System in China

Even since 1985 when the Patent Law was launched in China, the utility model patent has been playing a very important role. Over the two decades, the utility model system has played an active part in encouraging invention-creations, and promoting the progress and development of science and technology.

Optimal Risk Sharing for Maxmin Choquet Expected Utility Model

This article analyzes the Pareto optimal allocations,agreeable trades and agreeable bets under the maxmin Choquet expected utility(MCEU)model.We provide several useful characterizations for Pareto optimal allocations for risk averse agents.We derive the formulation descriptions for non-existence agreeable trades or agreeable bets for risk neutral agents.We build some relationships between ex-ante stage and interim stage on agreeable trades or bets when new information arrives.

生物样本库建设管理现状与建议

系统梳理国外生物样本库建设模式、国内生物样本库管理建设情况,探讨疾病预防控制系统内建立公共卫生生物样本库的机遇、优势和挑战,为今后指导疾病预防控制系统生物样本库建设管理的实际工作提出政策建议和解决途径。

Spatial Pattern of Long-term Residence in the Urban Floating Population of China and its Influencing Factors

Exploring long-term residence among the urban floating population is crucial to understanding urban growth in China,particularly since the 2008 financial crisis.By using China Migrants Dynamic Survey data for 2012–2014,China Labor-force Dynamics Survey data for 2014–2016,and macroscale urban matched data,we analyzed the spatial pattern of long-term residential behavior in China’s urban floating population in 2012–2016 and developed an urban spatial utility equilibrium model containing‘macro’urban factors and‘micro’individual and household factors to explain the pattern.The results first revealed that long-term residence is defined as≥6 yr for the urban floating population in China.Second,members of this population are more likely to be long-term residents of the megacities in the three urban agglomerations in eastern China as well as of small and medium-sized cities in western and northeastern China,whereas short-term residence is more likely in cities in central China and near the three urban agglomerations.Third,urban population density and housing prices,both have a significant U-shaped effect,are main factors affecting the spatial pattern of long-term residence.

Is the crop insurance program effective in China? Evidence from farmers analysis in five provinces

This paper aims to evaluate the effectiveness of the Chinese crop insurance program in terms of farmers＇ utility and welfare. A simulation model based on the power utility function was first developed to evaluate the effectiveness of crop insurance. Then, the Monte Carlo approach was used to generate the datasets of area, price, yield, cost, and income based on the characteristics of representative farmers, which were clustered and calibrated using the farm-level data of 574 individual farmers from five Chinese provinces. Finally, the effectiveness of Chinese crop insurance was evaluated by comparing the certainty equivalence（CE） of farmers＇ utility/welfare under alternative crop insurance scenarios. Government subsidy is a necessary premise for implementing the crop insurance program. The government should subsidize more than 50% of the crop insurance premium to motivate more farmers to participate in the program. The findings also show that the current crop insurance program in China has increased the farmers＇ welfare but still need to be improved to achieve the Pareto improvement and to make full use of the financial fund of the government. This paper is believed to not only extend academic research but also has significant implications for policymakers, especially in the context of rapid development of Chinese crop insurance with much issues such as rate, subsidy and coverage level needed to be improved.

Validation of the Lysine Requirement as Reference Amino Acid for Ideal In-Feed Amino Acid Ratios in Modern Fast Growing Meat-Type Chickens

Nitrogen (N) balance studies were conducted with male growing broiler chickens to reevaluate the lysine (Lys) requirement of a modern broiler strain (Ross 308), making use of eight diets with graded crude protein (CP) supply (6% - 34% CP as-fed). Wheat, soy protein concentrate, wheat gluten, fishmeal and crystalline amino acids (AAs) were the protein sources in the experimental diets with Lys as limiting AA. Following an adaptation period of five days, two consecutive excreta collection periods (2 × 5 d) were conducted: 10 - 20 d of age (starter period) and 25 - 35 d of age (grower period). Statistical evaluation of N balance data utilized an exponential modelling approach. Based on different dietary Lys efficiency, Lys requirement data were derived by modelling depending on average body weight (BW) during starter and grower period and targeted body protein deposition (PD), respectively. In addition, the influence of graded feed intake was taken into account. For the starter period at 600 g BW and assumed 10 g daily body PD, Lys requirement data between 741 mg and 823 mg per day were observed. The corresponding Lys in-feed concentration was 1.06% and 1.18%, dependent on supposed Lys efficiency at 70 g daily feed intake. For the grower period (average BW 1800 g), 1272 mg to 1473 mg Lys per day was needed to yield 16.5 g daily PD. The corresponding required Lys in-feed concentration was between 0.85% and 0.94% Lys for 150 g daily feed intake.

Point-of-Interest Recommendation in LocationBased Social Networks with Personalized Geo-Social Influence

Point-of-interest(POI) recommendation is a popular topic on location-based social networks(LBSNs).Geographical proximity,known as a unique feature of LBSNs,significantly affects user check-in behavior.However,most of prior studies characterize the geographical influence based on a universal or personalized distribution of geographic distance,leading to unsatisfactory recommendation results.In this paper,the personalized geographical influence in a two-dimensional geographical space is modeled using the data field method,and we propose a semi-supervised probabilistic model based on a factor graph model to integrate different factors such as the geographical influence.Moreover,a distributed learning algorithm is used to scale up our method to large-scale data sets.Experimental results based on the data sets from Foursquare and Gowalla show that our method outperforms other competing POI recommendation techniques.

Mathematical modeling and analysis of thermodynamic processes in a twin-rotor piston engine

In order to study the major performance indicators of the twin-rotor piston engine(TRPE), Matlab/simulink was used to simulate the mathematical models of its thermodynamic processes. With consideration of the characteristics of the working processes in the TRPE, corresponding differential equations were established and then simplified by period features of the TRPE. Finally, the major boundary conditions were figured out. The changing trends of mass, pressure and temperature of working fuel in the working chamber during a complete engine cycle were presented. The simulation results are consistent with the trends of an actual working cycle in the TRPE, which indicates that the method of simulation is feasible. As the pressure in the working chamber is calculated, all the performance parameters of the TRPE can be obtained. The major performance indicators, such as the indicated mean effective pressure, power to weight ratio and the volume power, are also acquired. Compared with three different types of conventional engines, the TRPE has a bigger utilization ratio of cylinder volume, a higher power to weight ratio and a more compact structure. This indicates that TRPE is superior to conventional engines.

Effects of the Partial Replacement of Soybean Meal by Insect or Algae Meal in Chicken Diets with Graded Amino Acid Supply on Parameters of Gut Microbiology and Dietary Protein Quality

Insects or algae are considered future solutions to substitute imported feed proteins like soybean meal (SBM) in animal nutrition. The objective of this research, as part of the multidisciplinary project “Sustainability transitions”, focused on replacing 50% SBM by partly defatted larvae meal from black soldier flies (Hermetia illucens) or the blue-green algae Spirulina platensis in meat type chicken diets. The current study aimed to evaluate the effects on body composition, protein quality, apparent precaecal digestibility (apcD) and parameters of intestinal microbiota. In total, 288 one-day-old male growing chickens (Ross 308) from a commercial hatchery were randomly allotted to 48 pens (6 birds per pen) across five diets, which were fed at a free choice level. The control diet utilized SBM, wheat and corn as main ingredients, and experimental diets replaced 50% of SBM by the alternative proteins under study. Amino acid (AA) supplementation of the final diets was conducted both at a basic level (diets HM, SM;Lys and Met added equal to the control diet) and an extended level of AA fortification (diets HM+, SM+;extended supplementation of Lys, Met, Thr, Arg). After finishing the growth study, 4 individual birds per diet were slaughtered for whole body analyses to derive nutrient utilization and dietary protein quality parameters. Additionally, pooled chyme samples from 16 birds per diet (control, HM and SM) were analyzed to assess apcD and microbial parameters. Diets HM and SM with a basic level of AA fortification led to significant depressions in nutrient deposition and dietary protein quality. However, HM+ and SM+ diets with an extended level of AA supplementation led to significantly improved responses;however these were still generally not on par with the control diet. The HM+ diet provided superior CP deposition and dietary protein quality, as compared to the SM+ diet, but equal to the control diet. Results of gut microbiology yielded no significant effects due to feeding the alternative protein sources under study.

New Utilization Model of Karst Rocky Desertified Land in Southwest China:Ecological Planting of Dendrobium officinale Kimura et Migo on Bare Rocky Mountains

The Yunnan-Guangxi-Guizhou rocky desertified area in southwestern China is one of the contiguous extremely poor areas identified in the Outline of Poverty Alleviation and Development in the Rural Areas of China(2011-2020).In rocky desertified areas,due to long-term severe soil erosion,large areas of bedrock are exposed or gravels are accumulated.This bare rock and gravel-mulched land has become the main land type in the rocky mountains.Under normal circumstances,it cannot be directly used for agriculture,forestry,animal husbandry,and fishery production,and is classified as land that is difficult to be utilized.In recent years,in Debao County,Baise City,Guangxi Zhuang Autonomous Region,as a deeply impoverished county in the Yunnan-Guangxi-Guizhou rocky desertified area,a new land use model of karst rocky desertified land,that is,planting Dendrobium officinale Kimura et Migo on bare rocky ground,has emerged,and certain poverty alleviation benefits have been achieved initially.In this article,on the basis of analyzing the suitability of planting D.officinale Kimura et Migo on karst rocky desertified land,the practice of planning D.officinale Kimura et Migo on the rocky desertified land in Debao County was elucidated,and then suggestions for reasonable promotion of ecological planting of D.officinale Kimura et Migo in karst rocky desertified areas were put forward.

Optimal liquidation with dynamic parameter updating: A forward approach

We propose a forward approach to study the performance of liquidation strategies under sequential model parameter updates.The forward liquidation program consists of pasting forward in time and in a time-consistent fashion a series of optimal liquidation problems.They are triggered at the parameter shift instances,thus entirely eliminating model error,and last at most till the next parameter update.However,due to the nature of the model dynamics,solutions may cease to exist in finite time,even before the subsequent parameter update.Furthermore,forward liquidation strategies may never lead to full liquidation,even though they maximize the average utility of revenue and always preserve time-consistency.In juxtaposition,the traditional approach delivers full liquidation at the sought horizon but encounters considerable model error,generates value erosion,and is time-inconsistent.

Systemic technology innovation management and analysis of other forms of IP protection

Industry 4.0 and the pandemic have caused recent changes in innovative development,economic situations,and restrictions in various companies and regions of the world,with new stricter legislation related to working conditions,hygiene standards,and health requirements.New technologies are a challenge to the transformation of problem companies and regions,as they often significantly impact economic development.Technological emissions,growing information on dementia among young people,cyber risks,and the risks of so-called advanced technologies(e.g.,bio-and nanotechnologies,Industry 4.0 tech)may raise societal concerns about technological progress.This study is part of our long-term research into technological innovation in different companies and regions.Its primary goal is to methodically emphasize the importance and role of the systemic management of technological innovation in companies and regions and analytically compare the innovation success of differently developed regions from a global perspective1.This research deals with an important aspect of technology management,namely,the processes of technological identification and the protection of related intellectual property(IP).The primary research question is:How has technological development been distributed across different regions over the last two decades?We hypothesize that Asian countries are increasingly moving away from Europe and North America in terms of technological innovation,other forms of technological IP protection,and overall access to innovation,while the focus is on the development of three non-patent forms of technological innovation protection:industrial designs,trademarks,and utility models.The results of our study reveal a significant difference in the approach to technological innovation management and the form of IP protection between so-called advanced and problem companies and regions.This study was conducted between 2018 and 2022.

Evaluation of Burden Descent Model for Burden Distribution in Blast Furnace

Mathematical models for burden descending process have been applied to obtain whole burden structures in blast furnace,whereas the accuracy of those burden descent models has not been sufficiently investigated.Special evaluation method based on timeline burden profiles was established to quantitatively evaluate the error between experimental and modeled burden structures.Four existing burden descent models were utilized to describe the burden structure of a 1/20 scaled warm blast furnace.Input modeling conditions including initial burden profile,descending volumes in each time interval,and normalized descending velocity distribution were determined via special image processing technology.Modeled burden structures were evaluated combined with the published experimental data.It is found that all the models caught the main profile of the burden structure.Furthermore,the improved nonuniform descent model（Model IV）shows the highest level of precision especially when burden descends with unstable velocity distribution tendency.Meanwhile,the traditional nonuniform descent model（Model III）may also be desirable to model the burden descending process when the burden descending velocity presents a linear tendency.Finally,the uniform descent model（Model I）might be the first option for roughly predicting burden structure.

Trip and mode choice decisions to out-patient health care facilities:A longitudinal analysis

This paper analyzes the impact of health indicators on an individual's trip and mode choices to out-patient care facilities.The study's focus is an out-patient trip to a health care facility,and the source of data is the China Health and Retirement Longitudinal Study(CHARLS)for 2011.2013 and 2015.Based on a random utility framework,the study finds that making a rip to ureat an ilness or for a check-up increases the likelihood of an out-patient trip by 52 and 31 probability points,respectively.Out-patient visits for which in-surance is not relevant,When the individual pays most of the out:of-pocket costs and when the facility is a public facility are also important factors.Diagnosed and other per-sonal health factors have some but much more modest effects on one's trip choice.The analysis also identifies differential modal impacts of health indicators.A series of robustness tests generally confirm the results and identify areas for further research.Including a no-trip option,the biannual sunvey and infrequent out-patient trip-making mitigate endogeneity concerns.The analysis has broad health policy and transportation implications for an ageing population whose share is increasing.

Space Modeling Method for Ship Pipe Route Design

Ship pipe route design(SPRD)is one of the most complex and timeconsuming processes in ship detail design.Currently,there are many researches on the optimization of ship pipe routes,but there is still a lack of effective and convenient methods to build the pipe routing space.In order to solve this problem,a piping space modeling method for SPRD is proposed.This method is based on stereo lithographic(STL)file which is commonly used in data exchange,and it can convert the initial space model built in 3D-CAD software into the data model required by the pipe routing algorithms.For the application purpose,a piping space modeling utility(PSMU)is developed with Python and OpenGL,promoting the development of practical pipe routing system.Finally,the feasibility and practicability of the proposed method are verified by the experiment on the piping space of an actual ship fuel system.