Circular economy is a critical approach to realize the coordinated development of society, economy, and ecological environment. Given the fact that urban is a complex system in which human beings integrate material, energy, information, and natural environment and interact and influence each other, reviewing the urban circular economy research and development could benefit for having a better and comprehensive understanding on urban complexity. Mainly based on the Chinese literature studies from 1999 to 2020, this study aims to present an in-depth (...) analysis of the research themes, policy systems, and index system of Chinaʼs urban-scale circular economy, discuss the changes and evolution trends of themes, levels, and perspectives in time series, sort out the policy systems at both the national and local levels, and analyze the design principles and application fields of indicators. Finally, we propose that future development of an urban circular economy should be built based on modern techniques, technologies, and models. The construction of development mechanism on the circular economy should be framed as “government-led, market-driven, legal norms, policy support, technological support, and public participation” and inject concepts such as “Internet +,” “sharing economy,” “Internet of Things,” and “artificial intelligence.”. (shrink)

_Feminist Interpretations of Thomas Hobbes _features the work of feminist scholars who are centrally engaged with Hobbes’s ideas and texts and who view Hobbes as an important touchstone in modern political thought. Bringing together scholars from the disciplines of philosophy, history, political theory, and English literature who embrace diverse theoretical and philosophical approaches and a range of feminist perspectives, this interdisciplinary collection aims to appeal to an audience of Hobbes scholars and nonspecialists alike. As a theorist whose trademark is a (...) compelling argument for absolute sovereignty, Hobbes may seem initially to have little to offer twenty-first-century feminist thought. Yet, as the contributors to this collection demonstrate, Hobbesian political thought provides fertile ground for feminist inquiry. Indeed, in engaging Hobbes, feminist theory engages with what is perhaps the clearest and most influential articulation of the foundational concepts and ideas associated with modernity: freedom, equality, human nature, authority, consent, coercion, political obligation, and citizenship. Aside from the editors, the contributors are Joanne Boucher, Karen Detlefsen, Karen Green, Wendy Gunther-Canada, Jane S. Jaquette, S. A. Lloyd, Su Fang Ng, Carole Pateman, Gordon Schochet, Quentin Skinner, and Susanne Sreedhar. (shrink)

1. Yu Hyŏng-wŏn ŭi ppuri wa Pan'gyehak ŭl nonhada -- 1.1. Pan'gye Yu Hyŏng-wŏn kagye punsŏk -- 1.2. Chiyŏkhak ŭrosŏ Pan'gyehak yŏn'gu -- 2. Pan'gye Sŏnsaeng palchach'wi rŭl ch'aja kada -- 2.1. Sirhak ŭi mek'a, Puan Uban-dong -- 2.2. Pan'gye Sŏnsaeng i namgin palchach'wi -- 2.3. Puan chiyŏk Yugyo munhwa yusan ŭi hyŏnhwang kwa kwaje -- 3. Pan'gye Sŏnsaeng ŭl kirida -- 3.1. Puan Tongnim Sŏwŏn ŭi kŏllip kwa pyŏnch'ŏn e taehan yŏn'gu -- 3.2. Tŏkch'on Yang Tŭk-chung ŭi kagye wa (...) ch'usung e kwanhan yŏn'gu -- 3.3. Hong Kye-hŭi Kyŏngseron ŭi chaejijŏk kiban. (shrink)

1. Pulgyo rŭl chŏmke hanŭn kil -- 2. Kisang ŭi chilmun kwa ch'ŏnoe ŭi tappyŏn.

Previous studies have shown that the motion intention recognition for lower limb prosthesis mainly focused on the identification of performed gait. However, the bionic prosthesis needs to know the next movement at the beginning of a new gait, especially in complex operation environments. In this paper, an upcoming locomotion prediction scheme via multilevel classifier fusion was proposed for the complex operation. At first, two motion states, including steady state and transient state, were defined. Steady-state recognition was backtracking of a completed (...) gait, which would be used as prior knowledge of motion prediction. In steady-state recognition, surface electromyographic and inertial sensors were fused to improve recognition accuracy; five typical locomotion modes were recognized by random forest classifier with over 97.8% accuracy. The transient state was defined as an observation period at the initial stage of upcoming movement, in which only the sEMG signal was recorded due to the limitation of sliding window length. LightGBM classifier was validated to outperform other methods in the accuracy and prediction time of transient-state recognition. Finally, a simplified HMM model based on prior knowledge and observation result was constructed to predict upcoming locomotion. The results indicated that the locomotion prediction was over 91% accuracy. The proposed scheme implements the locomotion prediction at the initial stage of each gait and provides critical information for the gait control of lower limb prosthesis. (shrink)

In a congested large-scale subway network, the distribution of passenger flow in space-time dimension is very complex. Accurate estimation of passenger path choice is very important to understand the passenger flow distribution and even improve the operation service level. The availability of automated fare collection data, timetable, and network topology data opens up a new opportunity to study this topic based on multisource data. A probability model is proposed in this study to calculate the individual passenger’s path choice with multisource (...) data, in which the impact of the network time-varying state on passenger path choice is fully considered. First, according to the number and characteristics of OD candidate paths, the AFC data among special kinds of OD are selected to estimate the distribution of passengers’ walking time and waiting time of each platform. Then, based on the composition of path travel time, its real-time probability distribution is formulated with the distribution of walking time, waiting time, and in-vehicle time as parameters. Finally, a membership function is introduced to evaluate the dependence between passenger’s travel time and the real-time travel time distribution of each candidate path and take the path with the largest membership degree as passenger’s choice. Finally, a case study with Beijing Subway data is applied to verify the effectiveness of the model presented in this study. We have compared and analysed the path calculation results in which the time-varying characteristics of network state are considered or not. The results indicate that a passenger’s path choice behavior is affected by the network time-varying state, and our model can quantify the time-varying state and its impact on passenger path choice. (shrink)

In numerous peripheral sense organs, external stimuli are detected by primary sensory neurons compartmentalized within specialized structures composed of cuticular or epithelial tissue. Beyond reflecting developmental constraints, such compartmentalization also provides opportunities for grouped neurons to functionally interact. Here, the authors review and illustrate the prevalence of these structural units, describe characteristics of compartmentalized neurons, and consider possible interactions between these cells. This article discusses instances of neuronal crosstalk, examples of which are observed in the vertebrate tastebuds and multiple types (...) of arthropod chemosensory hairs. Particular attention is paid to insect olfaction, which presents especially well‐characterized mechanisms of functional, cross‐neuronal interactions. These examples highlight the potential impact of peripheral processing, which likely contributes more to signal integration than previously considered. In surveying a wide variety of structural units, it is hoped that this article will stimulate future research that determines whether grouped neurons in other sensory systems can also communicate to impact information processing. (shrink)

스페인 시인 씰로트의 상징사전을 토대로 국내외 문학작품을 예로 들어 주제별, 가나다순으로 수록한 문 학평론가의 상징사전.