Precise global solar radiation data are indispensable to the design, planning, operation, and management of solar radiation utilization equipment. Some examples prove that the uncertainty of the prediction of solar radiation provides more value than deterministic ones in the management of power systems. This study appraises the potential of random forest, V-support vector regression, and a resilient backpropagation artificial neural network for daily global solar radiation point prediction from average relative humidity, daily average temperature, and daily sunshine duration. To acquire (...) more accurate predictions of DGSR and examine the influence of historical DGSR on the performance of point prediction models, two different model inputs are considered: three meteorological variables and the lags of DGSR and three meteorological variables. Then, two interval prediction methods are developed by introducing the KDE to out-of-bag, introducing kernel density estimation to split conformal based on the three machine learning models. The two methods for interval prediction are denoted as OOB-KDE and SC-KDE. The mean absolute error, mean relative error, and Kendall rank correlation are used to assess the point prediction models. The performance of interval prediction methods is evaluated by the prediction interval coverage probability, prediction interval normalized average width, and coverage width criteria. The following conclusions are drawn from this study. First, the V-SVR model performs best with the lowest mean absolute error of 0.016 and mean relative error of 0.001. Second, the lags of DGSR improve the prediction accuracy by about 30%. Third, the OOB-KDE and SC-KDE methods improved the quality of the prediction interval. OOB-KDE improved CWC by 81%, and SC-KDE improved CWC by 99.99%. Fourth, the best interval prediction result is obtained using the SC-KDE method using the V-SVR model. The average difference between its PICP and prediction interval nominal coverage is only 3% of the PINC, and its PINAW is less than 0.007. (shrink)

The COVID-19 pandemic has had a profound psychological and behavioral impact on people around the world. Consumer purchase behaviors have thus changed greatly, and consumer services companies need to adjust their business models to adapt to this change. From the perspective of consumer psychology, this paper explores the impact of consumer purchase behavior changes over the course of the pandemic on the business model design of consumer services companies using a representative survey of 1,742 individuals. Our results show that changes (...) in consumer purchase behavior have a significant impact on the design of consumer services firms’ business models. Specifically, changes in consumers’ purchase object, motive, and timeframe are more likely to spark a novelty-centered business model design, whereas changes in purchase method tend to inspire an efficiency-centered one. Our findings provide a theoretical reference for consumer services companies in designing business models when faced with unexpected crises. (shrink)

The dynamics behaviors of Kaldor–Kalecki business cycle model with diffusion effect and time delay under the Neumann boundary conditions are investigated. First the conditions of time-independent and time-dependent stability are investigated. Then, we find that the time delay can give rise to the Hopf bifurcation when the time delay passes a critical value. Moreover, the normal form of Hopf bifurcations is obtained by using the center manifold theorem and normal form theory of the partial differential equation, which can determine the (...) bifurcation direction and the stability of the periodic solutions. Finally, numerical results not only validate the obtained theorems, but also show that the diffusion coefficients play a key role in the spatial pattern. With the diffusion coefficients increasing, different patterns appear. (shrink)

Autonomous underwater vehicles are widely used to accomplish various missions in the complex marine environment; the design of a control system for AUVs is particularly difficult due to the high nonlinearity, variations in hydrodynamic coefficients, and external force from ocean currents. In this paper, we propose a controller based on deep reinforcement learning in a simulation environment for studying the control performance of the vectored thruster AUV. RL is an important method of artificial intelligence that can learn behavior through trial-and-error (...) interactions with the environment, so it does not need to provide an accurate AUV control model that is very hard to establish. The proposed RL algorithm only uses the information that can be measured by sensors inside the AUVs as the input parameters, and the outputs of the designed controller are the continuous control actions, which are the commands that are set to the vectored thruster. Moreover, a reward function is developed for deep RL controller considering different factors which actually affect the control accuracy of AUV navigation control. To confirm the algorithm’s effectiveness, a series of simulations are carried out in the designed simulation environment, which is a method to save time and improve efficiency. Simulation results prove the feasibility of the deep RL algorithm applied to the control system for AUV. Furthermore, our work also provides an optional method for robot control problems to deal with improving technology requirements and complicated application environments. (shrink)

Background High-frequency oscillation (HFO) represents a promising biomarker of epileptogenicity. However, the significant interindividual differences among patients limit its application in clinical practice. Here, we applied and evaluated an individualized, frequency-based approach of HFO analysis in stereoelectroencephalography (SEEG) data for localizing the epileptogenic zones (EZs). Methods Clinical and SEEG data of 19 patients with drug-resistant focal epilepsy were retrospectively analyzed. The individualized spectral power of all signals recorded by electrode array, i.e., the relative strength of HFO, was computed with a (...) wavelet method for each patient. Subsequently, the clinical value of the relative strength of HFO for identifying the EZ was evaluated. Results Focal increase in the relative strength of HFO in SEEG recordings were identified in all 19 patients. HFOs identified inside the clinically identified seizure onset zone had more spectral power than those identified outside ( p p Conclusion The relative strength of HFO, especially fast ripples, is a promising effective biomarker for identifying the EZ and can lead to a favorable seizure outcome if used to guide epilepsy surgery. (shrink)

The purpose of this paper is to investigate how supervisor’s mental state and behavior choice affect the relationship between employees’ strong growth need and their innovation performance. Using 210 sets of supervisor-subordinate dyads data from two-wave survey, this research reveals that GNS has a significant positive effect on innovation performance, and leader–member exchange mediates the effect of GNS on innovation performance. Supervisor perceived status threat moderates the relationship between GNS and LMX, such that this relationship gets weaker for supervisors with (...) higher perceived status threat. Furthermore, supervisor perceived status threat moderates the relationship between GNS and innovation performance, such that this relationship becomes weaker for supervisors with higher perceived status threat. The study concludes with theoretical and practical implications, as well as future research avenues. (shrink)

Hybrid renewable energy system arises regularly in real life. By optimizing the capacity and running status of the microgrid, HRES can decrease the running cost and improve the efficiency. Such an optimization problem is generally a constrained mixed-integer programming problem, which is usually solved by linear programming method. However, as more and more devices are added into MG, the mathematical model of HRES refers to nonlinear, in which the traditional method is incapable to solve. To address this issue, we first (...) proposed the mathematical model of an HRES. Then, a coevolutionary multiobjective optimization algorithm, termed CMOEA-c, is proposed to handle the nonlinear part and the constraints. By considering the constraints and the objective values simultaneously, CMOEA-c can easily jump out of the local optimal solution and obtain satisfactory results. Experimental results show that, compared to other state-of-the-art methods, the proposed algorithm is competitive in solving HRES problems. (shrink)

This paper aims at investigating the dynamic characteristics of a microring driven by dual arch electrodes because they are basic elements of microelectrostatic motors. The dual arch electrodes surround the periphery of the microring and are arranged symmetrically to the center of the ring. The electrodes are fixed while the microring is flexible. The electrostatic force will deform the microring, while the deflection of the microring changes the gap between the microring and the electrodes, thereby changing the electrostatic force. Therefore, (...) this is an electromechanical coupling effect. The nonlinear partial-differential equation that governs the motion of the microring is derived based on thin shell theory. Then, based on the assumption of small deflection, the nonlinear governing equation is linearized by truncating the higher-order terms of the Taylor series expansion of the nonlinear electrostatic force. After that, the linearized governing equation is discretized into a set of ordinary differential equations using Galerkin method in which the mode shape functions of the ring are adopted. The influences of the structural damping of the microring and the span of the arch electrodes on the forced response and dynamical stabilities of the microring are investigated. The results show that the damping ratio has a great influence on the system instability during high-frequency excitation. The unstable region of the system can increase with the increase of the electrode span; the response amplitude can also be increased within a certain range. (shrink)

本书系统探讨陶行知的生活教育理论的形成、发展过程,它的基本思想、基本结构以及它的理论基础与现实意义,并说明它是20世纪中国教育史上的一项最宝贵的创造。.

本书分为十章,主要内容包括:陶行知教育思想与中小学创造教育实验、陶行知教育思想与基础教育教学改革、陶行知教育思想与基础教育课程改革、陶行知教育思想与中小学德育等.

본 연구에서는 호굉의 유학적 세계관에서 유래하는 도(道) 개념을 고찰하고, 호굉의 도가와 불교 비판을 살펴보았다. 호굉은 우리가 살아가고 있는 이 세계를 사물들이 쉼 없이 변화하는 역(易)의 세계로 파악하였다. 역(易)은 세계를 구성하는 다양한 사물들 사이의 쉼 없이 이루어지는 상호 영향, 상호 의존을 의미한다. 역의 세계에 기반한 호굉의 도는 삶에서의 구체적인 소통과 삶의 기술이며, 사물의 체용관계에서 가장 근본적인 체(體)로 사유되었다. 한편 호굉은 도와 사물의 체용관계에 입각하여 노자의 도와 인의(仁義) 관계를 부정하였고, 도가의 유무(有無) 도식의 존재론적 생성 개념을 비판하였다. 또한 호굉은 현실 세계를 철저히 긍정하여 (...) 나와 사물과의 구체적 관계에서 참됨을 실현하고 현실에서 일어나는 삶과 죽음(生死)을 자연스러운 것으로 여겼으며, 현실을 떠난 진리를 추구하고 생사의 문제에 천착하는 것을 불교의 병폐라고 비판하였다. (shrink)

本书以律师法制建设为主题,围绕律师角色定位、辩护律师权利、律师执业道德与责任这一主旨,收录了40多篇论文,包括“控辩和谐论”、“论辩护权的存在根据”、“论律师对法庭的真实义务”等文章。.

O século XX trouxe uma ciência impossível: a ciência da mente. Esta ciência ignora os problemas semiológico, nosológico e sociocultural a ela inerentes e que a inviabilizam. Como resultado, observamos a criação de uma pandemia global de transtornos mentais, majoritariamente administrados através de psicofármacos. Em contraponto, o pensamento filosófico desafia esta logica desde Canguilhem, passando por Michel Foucault, Deleuze & Guattari, dentre tantos outros. E da Éticaespinosana dos afetos e afecções, nasceu a Heterogênese Urbana (HU), que tem como objeto original (...) a revitalização criativa das potências humanas através do contato entre subjetividades diversas. Etimologicamente, “criação a partir e com a diversidade”. Com a circulação dos afetos, dos desejos, das ideias nos espaços públicos, a HU promove, fenomenologicamente, a expressão daquilo que, antes permanecia invisível e indizível face o silêncio da vida da cidade. Os campos de afetações intersubjetivo e intercorpóreo entre vidas tão distintas desloca e descola o olhar fundado na psicopatologia clássica para atravessar a vida da cidade pelas potências que cada indivíduo é capaz nas experiências coletivas.A HU denuncia a multicomplexidade do conceito “produção de saúde”, que apenas inicia-se nas práticas biomédicas, compreendendo todos os saberes para a construção do cidadão autônomo e afetivo. (shrink)

Chu tu wen xian yu ru dao guan xi " nei rong jian jie: ru dao guan xi shi yi xiang gui mo hong da de yan jiu ke ti, ta she ji daozheng ge Zhongguo si xiang shi de nei zai jie gou he fa zhan guo cheng, she ji dao Zhongguo wen hua jin hou de zou xiang, yi yi zhong da. Er shi shi ji yi hou, yi huo de le shu liang ke guan de yan jiu (...) cheng guo. Zui jin chu tu wen xian de da liang yong xian you wei zhe ge wen ti de tao lun ti gong le xu duo xin cai liao, xin shi ye, xin guian dian."Chu tu wen xian yu ru dao guan xi " shou ji le 30 duo pian you dai biao xing de lun wen, tong guo "Kong Lao Meng Zhuang zhi bian", "Ru dao hu bu yu ying xiang", "Chu tu wen xian xin shi ye" san ge ban kuai jia yi cheng xian, xi wang du zhe jie ci dui yi wang ru dao guan xi yan jiu de fa zhan mai luo yu kuang jia you zong ti de ba wo, bing you ci kai chu xin de yan jiu tian di. (shrink)

resumo O texto aborda algumas noções centrais nos estudos que Merleau-Ponty realizava através de seus cursos nos Collège de Fra nce ent re os anos de 1954 e 1960. Trata da passagem da anima l idade ao corpo hu mano, e tão importante quanto marcar sua diferença, procura mostrar seu Ineinander, um no outro ou pertença comum. A seguir, dá destaque às noções de instituição e de inc o ns c ie nte: com a prime i ra, o filósofo pretende (...) superar os limites da noção de cons c i ê ncia, com a segunda, marca distânc ia da noção em Lévi-Strauss e intensifica o debate com o freudismo. palavras-chaves Fenomenologia; Merleau-Ponty; natureza; corporeidade; inconsciente. (shrink)

Ben shu yi xing wei wu jia zhi er yuan lun wei yan jiu zhu xian, an zhao " ke guan gou cheng yao jian, pai chu ke guan wei fa de shi you, zhu guan gou cheng yao jian, pai chu zhu guan ze ren de shi you " si jie ceng fan zui lun ti xi de jia gou, cong ke guan yao jian, zhu guan yao jian, xiu zheng xing tai san ge wei du, lin xuan fan (...) zui lun ling yu de ruo gan zheng yi wen ti yi ci zhan kai tao lun. ben shu jian chi yi wen ti wei dao xiang, wei rao si fa shi jian ti chu de nan ti, shu li xue shuo de mai luo, kao cha li fa de tuo dang xing, dui ge zhong li lun he guan dian tiao fen lü xi, zhi li yu li lun, li fa yu si fa de liang xing hu dong he xie diao fa zhan, ti chu de fang an zai yi ding cheng du shang hui da le li lun he shi jian zhong de yi wen. (shrink)

John Dewey's sojourn to China created a historical moment between the United States and China. Therefore, some of the recent scholarship on the topic aims to uncover the social and historical implications behind Dewey's Chinese trip, centering on how intercultural conversations occurred between "Confucius" and "John Dewey" during the period of May Fourth/New Culture Movement. Much research also reflects an attempt to synthesize and unify Western and Eastern education. This book spotlights a cross-cultural "encounter" between Confucius and John Dewey by (...) studying the four well-known Chinese scholars Hu Shih, Liang Shuming, Tao Xingzhi, and Jiang Menglin, who exerted a profound impact on many aspects of Chinese society during the May Fourth/New Culture Movement period. The study explores answers to a crucial question: What motivated Dewey's Chinese disciples to forge a synthesis of Confucian traditions and Deweyan ideas to purse of the goals of Chinese educational and cultural reformation? Simultaneously, based on an in-depth historical, philosophical, and cultural analysis of Dewey's visit to China, this study aims to disclose how our education has evolved in the context of cultural pluralism The book seeks to contribute provocative ideas to today's educators: any school of thought can renew and update itself if it maintains an open dialogue with a different civilization. Dynamic and transparent intercultural communication enables us to develop a sense of understanding and respect for cultural diversity, all of which are of great benefit to the construction of a stable and healthy international order. (shrink)

Creativity is a crucial aspect of entrepreneurship. However, research on the information processing mechanism of creativity in relation to entrepreneurship is still very limited. To explore factors contributing to creativity performance among entrepreneurs in terms of information processing, we applied the Bayesian Mindsponge Framework. We used the Serendipity-Mindsponge-3D (SM3D) knowledge management theory to construct models and conducted Bayesian analysis on the most comprehensive and well-designed dataset of 3071 Vietnamese entrepreneurs up to date. We found that entrepreneurs who give more time (...) to their startup attempts are likely to have lower levels of creativity. Both factors of higher levels of knowledge within one’s discipline and better connections to out-of-discipline knowledge are positively associated with more creativity. While the effect of openmindedness on the relationship between within-discipline knowledge and creativity is unclear, openmindedness was found to have a positive moderating effect on the association between out-of-discipline knowledge and creativity. These findings support entrepreneurs in understanding the information processing mechanisms behind creativity for creating more effective knowledge management strategies. (shrink)

Tian dao guan shi Zhongguo zhe xue de zhong yao gai nian, ye shi ru jiao de yi ge zhong yao wen ti, ji, shen me shi tian dao? Qi jin wei zhi, ji hu suo you de Zhongguo zhe xue zhu zuo, dou ren wei tian dao jiu shi zi ran gui lü. Ben shu jiang tong guo wen xian zi liao xiang dang dai de du zhe shuo ming, Zhongguo gu dai de tian dao, jiu shi tian zhi (...) dao, shang tian zhi dao. (shrink)

The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented (...) to model the rules, which provides an intuitive way for modelling the motors. Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. Finally, some case studies are given, in order to verify the feasibility and effectiveness of the proposed method. (shrink)

This extensive and generally useful anthology contains extracts from the writings of forty-seven Chinese philosophers, ranging from Confucius, Lao Tzu, Mo Tzu, Chuang Tzu, Mencius, and Hsun Tzu in ancient times to Sun Yat-sen, Hu Shih, Mao Tse-tung, and Fung Yu-lan in the twentieth century. Also included are passages from five books of the sayings of Buddha, on the ground, as stated by the editor, that Buddha "was the historic founder of a religion which profoundly influenced Chinese thinkers." The editor’s (...) introductions to the selections are clear and informative. Unfortunately, the proofreading and editing of the book seem to have been done less carefully than is desirable. For example, a reader sometimes cannot tell whether a particular footnote was written by the original author, by the translator, by the editor of the earlier collection from which the selection was culled for this collection, or by the editor of this collection. Dagobert Runes, not known to be a Chinese linguist, is listed as the translator of portions of the Tao Teh Ching included in the volume. Despite various flaws, however, the book is valuable for the breadth of its coverage.—W. G. (shrink)

In the current performance evaluation works of commercial banks, most of the researches only focus on the relationship between a single characteristic and performance and lack a comprehensive analysis of characteristics. On the other hand, they mainly focus on causal inference and lack systematic quantitative conclusions from the perspective of prediction. This paper is the first to comprehensively investigate the predictability of multidimensional features on commercial bank performance using boosting regression tree. The dimensionality in the financial-related fields is relatively high. (...) There are not only observable price data, financial fundamentals data, etc., but also many unobservable undisclosed data and undisclosed events; more sources of income cannot be explained by existing models. Aiming at the characteristics of commercial bank data, this paper proposes an adaptively reduced step size gradient boosting regression tree algorithm for bank performance evaluation. In this method, a random subsample sampling is performed before training each regression tree. The adaptive reduction step size is used to replace the reduction step size setting of the original algorithm, which overcomes the shortcomings of low accuracy and poor generalization ability of the existing regression decision tree model. Compared to the BIRCH algorithm for classification of existing data, our proposed gradient boosting regression tree algorithm with adaptively reduced step size obtains better classification results. This paper empirically uses data from rural banks in 30 provinces in China to classify the different characteristics of rural banks’ performance in order to better evaluate their performance. (shrink)

Proof-theoretic semantics (P-tS) is an innovative approach to grounding logical meaning in terms of proofs rather than traditional truth-conditional semantics. The point is not that one provides a proof system, but rather that one articulates meaning in terms of proofs and provability. To elucidate this paradigm shift, we commence with an introduction that contrasts the fundamental tenets of P-tS with the more prevalent model-theoretic approach to semantics. The contribution of this paper is a P-tS for a substructural logic, intuitionistic multiplicative (...) linear logic (IMLL). Specifically, we meticulously examine and refine the established P-tS for intuitionistic propositional logic. Subsequently, we present two novel and comprehensive forms of P-tS for IMLL. Notably, the semantics for IMLL in this paper embodies its resource interpretation through its number-of-uses reading (restricted to atoms). This stands in contrast to the conventional model-theoretic semantics of the logic, underscoring the value that P-tS brings to substructural logics. (shrink)