Effect of distribution of fines on evolution of cooperation in spatial public goods game

In the realm of public goods game,punishment,as a potent tool,stands out for fostering cooperation.While it effectively addresses the first-order free-rider problem,the associated costs can be substantial.Punishers incur expenses in imposing sanctions,while defectors face fines.Unfortunately,these monetary elements seemingly vanish into thin air,representing a loss to the system itself.However,by virtue of the redistribution of fines to cooperators and punishers,not only can we mitigate this loss,but the rewards for these cooperative individuals can be enhanced.Based upon this premise,this paper introduces a fine distribution mechanism to the traditional pool punishment model.Under identical parameter settings,by conducting a comparative experiment with the conventional punishment model,the paper aims to investigate the impact of fine distribution on the evolution of cooperation in spatial public goods game.The experimental results clearly demonstrate that,in instances where the punishment cost is prohibitively high,the cooperative strategies of the traditional pool punishment model may completely collapse.However,the model enriched with fine distribution manages to sustain a considerable number of cooperative strategies,thus highlighting its effectiveness in promoting and preserving cooperation,even in the face of substantial punishment cost.

Discreet investors exert greater influence on cooperation in the public goods game

This paper studies the evolutionary process of cooperative behavior in a public goods game model with heterogeneous investment strategies in square lattices.In the proposed model,players are divided into defectors,cooperators and discreet investors.Among these,defectors do not participate in investing,discreet investors make heterogeneous investments based on the investment behavior and cooperation value of their neighbors,and cooperators invest equally in each neighbor.In real life,heterogeneous investment is often accompanied by time or economic costs.The discreet investors in this paper pay a certain price to obtain their neighbors'investment behavior and cooperation value,which quantifies the time and economic costs of the heterogeneous investment process.The results of Monte Carlo simulation experiments in this study show that discreet investors can effectively resist the invasion of the defectors,form a stable cooperative group and expand the cooperative advantage in evolution.However,when discreet investors pay too high a price,they lose their strategic advantage.The results in this paper help us understand the role of heterogeneous investment in promoting and maintaining human social cooperation.

曹伟云教授治疗Good’s综合征合并支气管扩张验案1例

Good’s综合征是一种免疫缺陷性疾病,属于少见病,关于本病的报道并不多,尤其是采用中药治疗的报道少之又少。Good’s综合征患者因免疫力欠佳,易合并感染,尤以合并支气管扩张伴感染偏多。目前,西医治疗多为对症治疗,急性期予抗生素控制感染,但患者病情易反复。本文主要从曹伟云教授对Good’s综合征合并支气管扩张病的中医病因病机和辨证论治等方面展开论述,认为Good’s综合征合并支气管扩张或因初感外邪、侵犯肺系,或因痰热日久、消耗阴液,或因久病体虚、伤及阴阳引起,在治疗上或予以清热散邪,或予以养阴清热、化痰排脓,或予以补阳养阴,同时根据伴随症进行药物加减,通过整体观念辨证论治,扶正与祛邪动态调整,尤以扶正为要,增强患者的免疫力,改善患者体质,迅速缓解患者临床症状,减少病情发作次数和患者住院次数。

The Violent Redemption Theme in A Good Man is Hard to Find

Flannery O’Connor is one of the representative figures of American Southern writers.Being recognized as the most outstanding writer of the American South after Faulkner,she has great influence in the literary world.Her works are always shrouded in a strange and grotesque atmosphere and full of death as well as religious metaphors.The protagonists are a series of American Southern freaks struggling with the crisis of spiritual belief.The protagonists of her novel A Good Man is Hard to Find are a hypocritical believer in the world of sinners and a lost man suffering in the midst of real sin,thus O’Connor uses the highest form of violence-death to bring ultimate redemption to them.In people’s conception,violence and redemption are often opposite to each other,but O’Connor uses bloody and violent plots to explore the theme of religious salvation,integrating and unifying the two contrary concepts to form her unique and profound violent redemption writing.

Convenience on Three Wheels China-made motor tricycles are transforming the way goods and people are transported in Uganda

In most cities,towns and villages in Uganda,Chinamade motor tricycles have become a game-changer for commuters and entrepreneurs alike.

Changes in the Supply of Public Intermediate Goods,Fixed Wage,and the Relative Price in the Harris-Todaro Model

Since the Harris-Todaro model was proposed in 1970,it has played a crucial role in analyzing various environmental and trade issues in developing countries.This paper analyzes the effects of the amount of public intermediate goods provided by the government,the increase in the fixed wage rate in the urban sector,and the changes in the relative international prices of agricultural and manufacturing goods on labor employment,unemployment,and the economic welfare in the context of a small open economy.It also proposes relevant policies to reduce the unemployment rate while improving national welfare.

Toward inclusive list-making for trade liberalization in environmental goods to reduce carbon emissions

The Asia-Pacific Economic Cooperation(APEC)is contemplating expanding its list of environmental goods(EG)for trade liberalization to fight climate change.In support of doing so,this study proposes that a long list that retains controversies is better for carbon emission reduction than a short common list.This study examines four mechanisms of longer lists:enlarging market scales,enriching product mixes,enhancing product sophistication,and enriching trade patterns.Using China’s emerging EG trade during the 2001-2015 period as a case study,this study compares four EG lists with different EG.The results show that:(1)a longer list reduces carbon emissions from both imports and exports,making domestic regions with different advantages have better chances of improving carbon efficiencies.(2)Product sophistication reduces the emission gap between trading partners,regardless of the length of EG lists.(3)China’s EG exports contribute to carbon reduction in leading regions,while EG imports provide laggard regions with better chances of reducing carbon emissions.These findings provide three implications for future list-making:it is important to(1)seek a long and inclusive list rather than a short common list,(2)shift the focus from environmental end-use to the technological contents of products,and(3)balance the demand of laggard regions to import and the capacity of leading regions to export.

多策略集成的哈里斯鹰算法求解全局优化问题

为提高哈里斯鹰算法优化问题的性能,提出一种融合佳点集、非线性能量逃逸因子和Logistic-Cubic级联混沌扰动的多策略哈里斯鹰优化算法(Improve Harris Hawk Optimization,IHHO)。首先,引入佳点集策略代替随机初始种群,均匀初始种群分布性。其次,根据算法各个阶段不同特征提出一种非线性能量逃逸因子,平衡全局和局部勘探能力。最后,引入Logistic-Cubic级联混沌对搜索位置扰动,避免算法陷入局部最优。利用IHHO算法求解23个函数及三桁架工程设计问题,并利用目标收敛曲线、Wilcoxon秩和检验进行测试,结果表明,IHHO算法相比对比算法具有更强寻优性能、求解稳定性,在求解全局优化问题上具有一定竞争性。

Application of Dual-Energy X-Ray Image Detection of Dangerous Goods Based on YOLOv7

X-ray security equipment is currently a more commonly used dangerous goods detection tool, due to the increasing security work tasks, the use of target detection technology to assist security personnel to carry out work has become an inevitable trend. With the development of deep learning, object detection technology is becoming more and more mature, and object detection framework based on convolutional neural networks has been widely used in industrial, medical and military fields. In order to improve the efficiency of security staff, reduce the risk of dangerous goods missed detection. Based on the data collected in X-ray security equipment, this paper uses a method of inserting dangerous goods into an empty package to balance all kinds of dangerous goods data and expand the data set. The high-low energy images are combined using the high-low energy feature fusion method. Finally, the dangerous goods target detection technology based on the YOLOv7 model is used for model training. After the introduction of the above method, the detection accuracy is improved by 6% compared with the direct use of the original data set for detection, and the speed is 93FPS, which can meet the requirements of the online security system, greatly improve the work efficiency of security personnel, and eliminate the security risks caused by missed detection.

Discussion on the Supply of Child-friendly City Construction Based on the Attributes of Public Goods

Child friendliness is the need for a good life in the new era.The problems related to the construction of child-friendly cities were discussed from the perspective of the supply of public goods.Through literature research and summary,the basic concepts,construction factors,sources of supply goods,structure of the main supplies,and supply behavior of public goods supply in child-friendly cities were sorted out.Some effective suggestions were proposed,such as improving the resource conversion and integration ability of the main suppliers,establishing an effective incentive system,optimizing the structure of the main suppliers,improving multi-party collaborative efficiency,ensuring benefits for all parties,raising child-friendly awareness,innovating funding sources for projects,ensuring adequate funding supply,building urban supply system in accordance with local conditions,and ensuring the supply of public goods.

Strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game

The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work proposes a strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game. It starts with the requirement analysis of autonomous collaboration in unmanned swarm;and an aspiration-driven multiplayer evolutionary game model is established based on the requirement. Then the average abundance function and strategy dominance condition of the model are constructed by theoretical derivation. Furthermore, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via simulation,and the influences of the multiplication factor r, aspiration levelα, threshold m and other parameters on the strategy dominance conditions were simulated for both linear and threshold public goods games(PGGs) to determine the strategy dominance characteristics;Finally, deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.

The g-Good-Neighbor Connectivity of Some Cartesian Product Graphs

The g-good-neighbor connectivity of G is a generalization of the concept of connectivity, which is just for, and an important parameter in measuring the fault tolerance and reliability of interconnection network. Many well-known networks can be constructed by the Cartesian products of some simple graphs. In this paper, we determine the g-good-neighbor connectivity of some Cartesian product graphs. We give the exact value of g-good-neighbor connectivity of the Cartesian product of two complete graphs and for , mesh for , cylindrical grid and torus for .

Study on good clinical practices among researchers in a tertiary healthcare institute in India

BACKGROUND Good clinical practice(GCP)is put in place to protect human participants in clinical trials as well as to ensure the quality of research.Non-adherence to these guidelines can produce research that may not meet the standards set by the scientific community.Therefore,it must be ensured that researchers are wellversed in the GCP.But not much is known about the knowledge and practices of the GCP in the medical colleges of North India.AIM To assess the knowledge and practices of researchers about GCP and analyze these with respect to the demographics of participants.METHODS This is a cross-sectional study.A self-structured questionnaire about GCP,after expert validations,was circulated among researchers,at a tertiary healthcare institute,All India Institute of Medical Sciences(AIIMS),Rishikesh.A total of 59 individuals,who were selected by universal sampling,participated in the study.All healthcare workers who have been investigators of Institutional Ethics Committee-approved research projects,except residents and faculty,and are still a part of the institute have been included in the study.The study was approved by the Institutional Ethics Committee of AIIMS,Rishikesh.We used descriptive analysis and the Chi-squared test to analyze data.P value<0.05 was considered significant.RESULTS Out of 59 participants,only 11(18.6%)were certified for GCP.Most of the participants(64.4%)had“Average”knowledge,33.9%had“Good”knowledge and 1.7%had“Poor”knowledge.Only 49%of participants had satisfactory practices related to GCP.There was a significant difference in the knowledge based on the current academic position for the items assessing knowledge of institutional review board(P=0.010),confidentiality&privacy(P=0.011),and participant safety&adverse events(P<0.001).There was also a significant difference in knowledge of research misconduct(P=0.024)and participant safety&adverse events(P=0.011)based on certification of GCP.There was a notable difference in the practices related to recruitment&retention on the basis of current academic position(P<0.001)and certification of GCP(P=0.023).We also observed a considerable difference between the knowledge and practices of GCP among the participants(P=0.013).CONCLUSION Participants have basic knowledge of GCP but show a lack thereof in certain domains of GCP.This can be addressed by holding training sessions focusing on these particular domains.

基于正余弦的非线性哈里斯鹰优化算法

针对哈里斯鹰优化算法(HHO)收敛精度低、易陷入局部最优等问题,提出了一种基于正余弦的非线性哈里斯鹰优化算法(SCNHHO)。首先,采用佳点集策略对种群进行初始化,使种群分布更均匀,提高算法收敛速度和精度;其次,在探索阶段引入正余弦策略,利用正余弦函数的震荡特性扩大搜索范围,寻求更多潜在的优质解;最后,在开发阶段引入非线性参数来平衡探索与开发,避免算法陷入局部最优。针对不同维度的基准测试函数进行性能测试,结合Wilcoxon秩和检验与Friedman检验的结果,将该算法与其他5个对比算法进行分析。结果表明,改进算法性能较原始HHO算法有较大提升,并且优于斑马优化算法(ZOA)、鲸鱼优化算法(WOA)和2种哈里斯鹰算法的变体(MHHO和IHHO),验证了改进策略的有效性。最后通过三杆桁架设计问题进一步验证了SCNHHO的实用性。

基于改进蜣螂优化算法的电站NO_(x)排放预测

锅炉燃烧优化在电厂锅炉经济稳定运行中起着重要作用,NO_(x)排放预测是其中的一个基本环节,因此提出了一种基于改进蜣螂优化算法优化卷积神经网络(convolutional neural network,CNN)与双向长短期记忆神经网络(long short term memory,LSTM)的组合模型超参数的超超临界锅炉NO_(x)排放预测的方法。首先通过Pearson相关性判定与NO_(x)排放相关的特征参数;其次建立CNN-LSTM预测模型,利用卷积神经网络CNN提取分层数据结构,长短期记忆网络挖掘长期依赖关系,然后结合佳点集、t分布变异策略对蜣螂算法进行改进,用改进后的算法对LSTM超参数进行优化得到最终预测模型;最后与其他神经网络模型进行对比验证。以某660 MW机组锅炉深度调峰实际数据进行预测,结果得到NO_(x)排放浓度实际值与预测值的平均绝对误差为3.3516,平均相对误差为2.4667,数据结果表明该预测模型具有更准确的预测效果。

Research on Culture Goods and the Image of Mixed-blood in The Bluest Eye

The Bluest Eye is Toni Morrison’s maiden work,through which Morrison carried out independent thinking on the question of“What is beauty?”In The Bluest Eye,the image of mixed-blood is characterized as a self-satisfied beautiful girl or lady due to light skin color.However,Morrison shatters their proud aesthetic edifice through satirical techniques.Firstly,this paper starts with the analysis of Shirley Temple on the blue-and-white cup and Mary Jane on candy wrapper as culture goods,in order to reveal the aesthetic standards of the mainstream.Next,through close reading,this paper,taking the example of a high-yellow child Maureen Peal,and the graceful sugar-brown lady Geraldine,makes deep analysis on their sense of superiority and artistic characteristics,and aims to better understand Morrison’s satirical techniques and interpretation of beauty.

蝴蝶优化算法对大青杨生长速率预测模型的改进

为提高大青杨生长速率的预测精度,提出了一种基于改进的蝴蝶优化算法(improved butterfly optimization algorithm, IBOA)与径向基函数(radial basis function, RBF)神经网络结合的预测木材材性方法。通过使用佳点集法对标准蝴蝶算法中的种群进行初始化,将自适应切换频率和Levy飞行相结合进一步优化人工蝴蝶算法。构建出了新的IBOA-RBF神经网络木材材性预测模型,将得到的结果与其他几种算法优化的RBF神经网络预测结果进行对比。结果表明:基于IBOA-RBF神经网络模型预测效果最好,收敛速度从37步降低到了23步,预测结果误差达到了5.72%,预测精度最高。可见,对蝴蝶算法的改进是可行的,且对相关人员定向培养大青杨起到较大的帮助。

基于改进天鹰的三维室内多层结构定位算法

在面向一些大型商超、医院、教学楼等大规模室内多层结构定位中,针对多层WSN结构的非测距定位问题,提出一种基于改进天鹰的三维室内多层结构定位算法IAODV-HOP算法。首先,为节点划分3类通信半径以细化跳数,同时利用最小均方差和权重因子修正节点的平均跳距。其次,用IAO算法对未知节点坐标进行寻优,通过佳点集策略对种群初始化,解决天鹰算法因初始种群随机分布而导致的种群的质量和多样性难以保证的问题,并且在局部搜索中加入黄金正弦的搜索策略完善种群的位置更新方式,增强了算法的局部搜索能力。通过仿真实验,本文所提算法IAODV-HOP相较于传统3D-DV-Hop、PSO-3DDV-Hop、N3-3DDV-Hop以及N3-ACO-3DDV-Hop算法,归一化平均定位误差分别下降70.33%、62.67%、64%、53.67%,表现出更优的性能,具有更好的稳定性和更高的定位精度。

Pursuing the Distilled Good Practices to Improve the Quality of Environmental Impact Assessment Reports and Hence Enhance the EIA Effectiveness and Help Address the Concerns of Project Proponents:An Indian Context

Despite a wealth of literature on the different facets of the EIA,and copious theoretical knowledge and practical experience,the general agreement is eluding definitions of EIA effectiveness,quality,and good practices.There are apprehensions about EIA meeting its basic objectives while project proponents continue to treat EIA as an impediment to development.Governments tend to adopt a“practical”approach,sacrificing pillars of EIA and overlooking the prime objective of environmental protection.Based on an extensive literature study and the author’s long EIA-related experience,some key workable practices for the EIA process are elaborated.Meticulous scoping using different sets of lenses,spotlighting significant impacts to determine the breadth and depth of EIA reports for focussed EIAs,robust EIA review and decision-making,commitment from the regulators for environmental protection,and use of strategic planning,strategic environmental assessment,and tiering practices are expected to address scholars’apprehensions and project proponents’concerns.

以听力下降为主要表现的Good综合征1例

本文报道1例54岁女性Good综合征患者,因进行性听力下降伴反复发热入院。实验室检查提示血清免疫球蛋白水平低下、外周血B淋巴细胞数量减少、T淋巴细胞亚群比例异常,且伴有前纵隔占位。纵隔肿物穿刺病理提示:胸腺瘤B1型。结合症状、实验室检查及病理诊断支持Good综合征诊断。且该病例纯音测听符合双耳极重度感音神经性耳聋,结合听力下降的特点并排除其他继发性因素,考虑免疫介导性内耳病(IMIED)。确诊后患者未行胸腺瘤手术切除,不定期接受抗感染、免疫球蛋白输注等一系列综合治疗,听力损害无改善,2个月后听力损害进展至耳聋。确诊半年后患者死于严重播散性感染。