This study developed a measure of autonomy for adolescents in contemporary China. First, data from 44 interviewees—40 secondary school students, 2 parents, and 2 secondary school teachers—were used to explore the connotation and theoretical structure of autonomy in adolescents in China. Next, a preliminary Adolescent Autonomy Questionnaire was created from the interview data and administered to 775 secondary school students. Exploratory factor analysis and confirmatory factor analysis were conducted to verify the factor structure. Finally, 614 secondary school students completed the (...) Adolescent Autonomy Questionnaire, Personal Growth Initiative Scale-II, and Adolescence Ego Identity Crisis Scale to evaluate criterion validity. The final version of the Adolescent Autonomy Questionnaire included 16 items and four subscales: autonomous decision-making, autonomous regulation, autonomous protection, and autonomous problem-solving. The total variance of the cumulative interpretation questionnaire was 62.54%. The CFA results showed that the four-factor model fits the data well: χ2/df = 2.340, CFI = 0.949, RMSEA = 0.042, SRMR = 0.046. Evaluation of the psychometric properties of the Adolescent Autonomy Questionnaire provided support for the reliability and validity of the measure. Thus, it serves as an effective measurement tool for assessing the autonomy of adolescents in China. (shrink)

Many industrial processes are operated in multiple modes due to different manufacturing strategies. Multimodality of process data is often accompanied with nonlinear and non-Gaussian characteristics, which makes data-driven monitoring more complicated. In this paper, statistics pattern analysis is introduced to extract low- and high-order statistics from raw process data. Support vector data description, which can deal with nonlinear and non-Gaussian problems, is applied to monitor multimode process in this paper. To improve detection performance of SVDD for training multimode data with (...) outliers, modified local reachability density ratio is proposed as a weight factor to be embedded in the weighted-SVDD model, in which the local neighbors in terms of both space and time are considered. Finally, the effectiveness and superiority of our proposed method are demonstrated by the Tennessee-Eastman process and wastewater treatment process. (shrink)

The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the (...) development of the community-based Coronavirus Infectious Disease Ontology in early 2020. -/- As an Open Biomedical Ontology (OBO) library ontology, CIDO is open source and interoperable with other existing OBO ontologies. CIDO is aligned with the Basic Formal Ontology and Viral Infectious Disease Ontology. CIDO has imported terms from over 30 OBO ontologies. For example, CIDO imports all SARS-CoV-2 protein terms from the Protein Ontology, COVID-19-related phenotype terms from the Human Phenotype Ontology, and over 100 COVID-19 terms for vaccines (both authorized and in clinical trial) from the Vaccine Ontology. CIDO systematically represents variants of SARS-CoV-2 viruses and over 300 amino acid substitutions therein, along with over 300 diagnostic kits and methods. CIDO also describes hundreds of host-coronavirus protein-protein interactions (PPIs) and the drugs that target proteins in these PPIs. CIDO has been used to model COVID-19 related phenomena in areas such as epidemiology. The scope of CIDO was evaluated by visual analysis supported by a summarization network method. CIDO has been used in various applications such as term standardization, inference, natural language processing (NLP) and clinical data integration. We have applied the amino acid variant knowledge present in CIDO to analyze differences between SARS-CoV-2 Delta and Omicron variants. CIDO's integrative host-coronavirus PPIs and drug-target knowledge has also been used to support drug repurposing for COVID-19 treatment. -/- CIDO represents entities and relations in the domain of coronavirus diseases with a special focus on COVID-19. It supports shared knowledge representation, data and metadata standardization and integration, and has been used in a range of applications. (shrink)

With the further acceleration of urbanization in China, the proportions of both urban residents’ energy consumption and energy-consuming terminal electricity are showing an increasing trend at the same time. In view of the dynamic and time-varying complex system characteristics of power system, it is of great significance to study the impact mechanism of urbanization residents’ electricity consumption on the realization of demand-side management and environmental protection. Based on the one-year follow-up survey data obtained from household meter reading, this paper studies (...) the impact mechanism of urban residents’ electricity consumption in different seasons and terminals by descriptive analysis and multiple linear regression model. The results show that, on the whole, electricity is a necessity for urban households and does not change significantly with changes in income. At the turn of summer and autumn and the turn of winter and spring, high-income families tend to use higher levels of energy in pursuit of comfort, while low- and middle-income families do not have luxury consumption. In different seasons, the influence mechanism of household electricity consumption at different terminals is different. (shrink)

Let G be a connected graph with minimum degree δ G and vertex-connectivity κ G. The graph G is k -connected if κ G ≥ k, maximally connected if κ G = δ G, and super-connected if every minimum vertex-cut isolates a vertex of minimum degree. In this paper, we present sufficient conditions for a graph with given minimum degree to be k -connected, maximally connected, or super-connected in terms of the number of edges, the spectral radius of the graph, (...) and its complement, respectively. Analogous results for triangle-free graphs with given minimum degree to be k -connected, maximally connected, or super-connected are also presented. (shrink)

Biological pacemakers can be achieved by various gene‐based and cell‐based approaches. Embryonic stem cells (ESCs)‐derived pacemaker cells might be the most promising way to form biological pacemakers, but there are challenges as to how to control the differentiation of ESCs and to overcome the neoplasia, proarrhythmia, or immunogenicity resulting from the use of ESCs. As a potential approach to solve these difficult problems, tissue‐engineering techniques may provide a precise control on the different cell components of multicellular aggregates and the forming (...) of a construct with‐defined architectures and functional properties. The combined interactions between ESC‐derived pacemaker cells, supporting cells, and matrices may completely reproduce pacemaker properties and result in a steady functional unit to induce rhythmic electrical and contractile activities. As ESCs have a high capability for self‐renewal, proliferation, and potential differentiation, we hypothesize that ESCs can be used as a source of pacemaker cells for tissue‐engineering applications and the ambitious goal of biological cardiac pacemakers may ultimately be achieved with ESCs via tissue‐engineering technology. (shrink)

Biological pacemakers can be achieved by various gene‐based and cell‐based approaches. Embryonic stem cells (ESCs)‐derived pacemaker cells might be the most promising way to form biological pacemakers, but there are challenges as to how to control the differentiation of ESCs and to overcome the neoplasia, proarrhythmia, or immunogenicity resulting from the use of ESCs. As a potential approach to solve these difficult problems, tissue‐engineering techniques may provide a precise control on the different cell components of multicellular aggregates and the forming (...) of a construct with‐defined architectures and functional properties. The combined interactions between ESC‐derived pacemaker cells, supporting cells, and matrices may completely reproduce pacemaker properties and result in a steady functional unit to induce rhythmic electrical and contractile activities. As ESCs have a high capability for self‐renewal, proliferation, and potential differentiation, we hypothesize that ESCs can be used as a source of pacemaker cells for tissue‐engineering applications and the ambitious goal of biological cardiac pacemakers may ultimately be achieved with ESCs via tissue‐engineering technology. -/- . (shrink)

BackgroundCompassion fatigue is often associated with moral distress in the nursing practice among registered nurses. Moral resilience is an important ability to maintain, restore, or promote their...

Cells contain a myriad of membraneless ribonucleoprotein (RNP) condensates with distinct compositions of proteins and RNAs. RNP condensates participate in different cellular activities, including RNA storage, mRNA translation or decay, stress response, etc. RNP condensates are assembled via liquid‐liquid phase separation (LLPS) driven by multivalent interactions. Transition of RNP condensates into bodies with abnormal material properties, such as solid‐like amyloid structures, is associated with the pathogenesis of various diseases. In this review, we focus on how RNAs regulate multiple aspects of (...) RNP condensates, such as dynamic assembly and/or disassembly and biophysical properties. RNA properties – including concentration, sequence, length and structure – also determine the phase behaviors of RNP condensates. RNA is also involved in specifying autophagic degradation of RNP condensates. Unraveling the role of RNA in RNPs provides novel insights into pathological accumulation of RNPs in various diseases. This new understanding can potentially be harnessed to develop therapeutic strategies. (shrink)

Aiming at the problems of low recognition rate and slow recognition speed of traditional body action recognition methods, a human action recognition method based on data deduplication technology is proposed. Firstly, the data redundancy technology and perceptual hashing technology are combined to form an index, and the image is filtered from the structure, color, and texture features of human action image to achieve image redundancy processing. Then, the depth feature of processed image is extracted by depth motion map; finally, feature (...) recognition is carried out by convolution neural network so as to achieve the purpose of human action recognition. The simulation results show that the proposed method can obtain the optimal recognition results and has strong robustness. At the same time, it also fully proves the importance of human motion recognition. (shrink)

This paper investigates the event-based consensus problem for the heterogeneous hybrid multiagent system. First, the heterogeneous hybrid MAS is proposed which contains continuous and discrete-time subsystems with second-order and first-order heterogeneous dynamics. Second, the event-triggered protocols are proposed, which mainly include the event-based control laws and event-triggered conditions for different kinds of agents. Then, the consensus conclusions of fixed topology and switching topologies are obtained based on graph theory and nonnegative matrix theory, which include the constraints on control parameters, coupling (...) gains, and sampling interval to guarantee consensus. Finally, a simulation example is given to verify the efficiency of the proposed protocols. (shrink)

Host-microbiome interactions (HMIs) are critical for the modulation of biological processes and are associated with several diseases, and extensive HMI studies have generated large amounts of data. We propose that the logical representation of the knowledge derived from these data and the standardized representation of experimental variables and processes can foster integration of data and reproducibility of experiments and thereby further HMI knowledge discovery. A community-based Ontology of Host-Microbiome Interactions (OHMI) was developed following the OBO Foundry principles. OHMI leverages established (...) ontologies to create logically structured representations of microbiomes, microbial taxonomy, host species, host anatomical entities, and HMIs under different conditions and associated study protocols and types of data analysis and experimental results. (shrink)

Slagging-off is an important preprocessing operation of steel-making to improve the purity of iron. Current manual-operated slag removal schemes are inefficient and labor-intensive. Automatic slagging-off is desirable but challenging as the reliable recognition of iron and slag is difficult. This work focuses on realizing an efficient and accurate recognition algorithm of iron and slag, which is conducive to realize automatic slagging-off operation. Motivated by the recent success of deep learning techniques in smart manufacturing, we introduce deep learning methods to this (...) field for the first time. The monotonous gray value of industry images, poor image quality, and nonrigid feature of iron and slag challenge the existing fully convolutional networks. To this end, we propose a novel spatial and feature graph convolutional network module. SFGCN module can be easily inserted in FCNs to improve the reasoning ability of global contextual information, which is helpful to enhance the segmentation accuracy of small objects and isolated areas. To verify the validity of the SFGCN module, we create an industrial dataset and conduct extensive experiments. Finally, the results show that our SFGCN module brings a consistent performance boost for a wide range of FCNs. Moreover, by adopting a lightweight network as backbone, our method achieves real-time iron and slag segmentation. In the future work, we will dedicate our efforts to the weakly supervised learning for quick annotation of big data stream to improve the generalization ability of current models. (shrink)

Ben shu zhu yao cong san ge fang mian dui Zhou Dunyi li xue si xiang de mei xue te zhi jin xing jie du: yi shi gen ju qi "tai ji" guan fen xi "tai ji" zhi yuan rong mei, dong jing mei, he xie mei; er shi zai dui qi "jun zi guan" he "sheng ren guan" jin xing yan jiu de ji chu shang, zhan xian gang jian, zhong he, gao jie, sa luo, shang zhuo de jun (...) zi ren ge he yi "le" wei ben de sheng ren jing jie, shi dui chuan tong ren ge mei xue ji xian shi you chao yue de shuang chong te zheng de jin yi bu chan shi; san shi zai "xiang" yu "yi", "wen" yu "dao", "le" yun "li" de guan xi zhong fen xi "wen yi zai dao" de mei xue yi yun, cong ben ti de gao du fen xi wen dao guan xi, jiao wei jing zhun de chan shi le Zhou Dunyi "wen yi zai dao" de wen xue si xiang. (shrink)

Emergency online education has been adopted worldwide due to coronavirus disease 2019 pandemic. Prior research regarding online learning predominantly focused on the perception of parents, teachers, and students in tertiary education, while younger children’s perspectives have rarely been examined. This study investigated how family, school, and individual factors would be associated with primary school students’ satisfaction, perceived effectiveness, and preference in online learning during COVID-19. A convenient sample of 781 Hong Kong students completed an anonymous online survey from June (...) to October 2020. Logistic regression was conducted for 13 potential factors. Results indicated that only 57% of students were satisfied with their schools’ online learning arrangement and 49.6% regarded the online learning as an effective learning mode. Only 12.8% of students preferred online learning, while 67.2% of students preferred in-person schooling. Multiple analyses suggested that teacher–student interaction during online classes was positively associated with students’ satisfaction, perceived effectiveness, and preferences in online learning. Compared to grades 1–2 students, grades 3–6 students perceived more effectiveness and would prefer online learning. Happier schools were more likely to deliver satisfying and effective online education. Students who reported less happiness at school would prefer online learning, and students who reported less happiness at home would be less satisfied with online learning and reflected lower effectiveness. Teachers are encouraged to deliver more meaningful interactions to students and offer extra support to younger children during online classes. Primary schools and parents are encouraged to create a healthy and pleasant learning environment for children. The government may consider building up happy schools in the long run. The study findings are instrumental for policymakers, institutions, educators, and researchers in designing online education mechanisms. (shrink)

Most discussions of racial fetish center on the question of whether it is caused by negative racial stereotypes. In this paper I adopt a different strategy, one that begins with the experiences of those targeted by racial fetish rather than those who possess it; that is, I shift focus away from the origins of racial fetishes to their effects as a social phenomenon in a racially stratified world. I examine the case of preferences for Asian women, also known as ‘yellow (...) fever’, to argue against the claim that racial fetishes are unobjectionable if they are merely based on personal or aesthetic preference rather than racial stereotypes. I contend that even if this were so, yellow fever would still be morally objectionable because of the disproportionate psychological burdens it places on Asian and Asian-American women, along with the role it plays in a pernicious system of racial social meanings. (shrink)

The guide dog robot (GDR) is a low-speed companion robot that serves visually impaired people and is used to guide blind people to walk steadily, carrying a variety of intelligent technologies and needing to have the ability to guide with optimal energy consumption in specific scenarios. This paper proposes an innovative technique for virtual-real collaborative path planning and navigation of the GDR specific indoor scenarios, and designs an experimental method for virtual-real collaborative path planning of the GDR specific scenarios. The (...) energy consumption integral equation is used to solve for the energy consumption of the GDR with virtual-real synergy, and the difference in energy consumption is compared for three different navigation directions: horizontal, vertical and oblique obstacle avoidance. The results show that the optimized GDR saves 6.91% in rectilinear movement and 10.60% in curved movement. The efficiency of planning and navigating the GDR in specific domestic scenarios is verified by a virtual-real cooperative. The realization of optimal path planning for energy consumption is instrumental in exploring many of the most significant thought in the path planning and navigation of mobile robots in indoor specific scenarios. (shrink)

This chapter distinguishes between two concepts of moral responsibility. We are responsible for our actions in the first sense only when those actions reflect our identities as moral agents, i.e. when they are attributable to us. We are responsible in the second sense when it is appropriate for others to enforce certain expectations and demands on those actions, i.e. to hold us accountable for them. This distinction allows for an account of moral responsibility for implicit bias, defended here, on which (...) people may lack attributability for actions caused by implicit bias but are still accountable for them. What this amounts to is leaving aside appraisal-based forms of moral criticism such as blame and punishment in favor of non-appraising forms of accountability. This account not only does more justice to our moral experience and agency, but will also lead to more effective practices for combating the harms of implicit bias. (shrink)

洪耀勳是誰？是否有臺灣哲學？何謂臺灣哲學？何以洪耀勳的思想與實存哲學、日本哲學有深刻的關聯？哲學在東亞的接受與發展脈絡和洪耀勳的哲學思想有何關聯？洪耀勳的哲學思想能以何種形式和東亞的哲學發展產生關聯？ 其哲學思想有何種當代性意義？ 本書收錄洪耀勳日治時期的八篇哲學文章，撰寫年代在1934至1943十年之間，其中或隱或顯地援用日本京都學派哲學作為其哲學思索的資源。洪耀勳援引西田幾多郎「我和你」的理論，針對當時哲學發展的脈動，提出貼 近當代哲學需求的歷史實存概念。此外，他在探索臺灣文學創作的哲學理論時，亦以實存概念出發，主張新康德學派的價值哲學應與歷史實存形成呼應，藉以超越形而上學的價值世界。實存概念經洪耀勳的哲學探索，使得和辻哲 郎的風土論、務臺理作「表現世界的邏輯」、田邊元的「種的邏輯」等哲學資源，以一種「個別、特殊、普遍」的臺灣歷史實存姿態出現，並在異文化的臺灣，得到特殊性的發展。 Who is Hung Yao-hsün? Is there Taiwanese philosophy? What is Taiwanese philosophy? Why is Hung Yao-hsün’s thought deeply related to philosophy of existence and Japanese philosophy? What is the relationship between the reception and development of philosophy in East Asia and Hung Yao-hsün’s philosophical thought? In what form can Hung Yao-hsün’s philosophical thoughts be related to the development of philosophy in East Asia? What is the contemporary significance of his philosophical thinking? This book contains eight philosophical articles written (...) by Hung Yao-hsün between1934-1943, when Taiwan was under Japanese rule. These papers show implicit and explicit references to Kyoto School philosophy, which is a resource for his philosophical thinking. In response to the philosophical development at that time, Hung develops the notion of historical existence by citing Nishida’s theory of I and Thou. Besides, he explores the concept of existence as the philosophical foundation of Taiwanese literature, and argues the philosophy of value of Neo-Kantianism should echo the historical reality in order to overcome the metaphysical world of value. Hung’s philosophy deepens the concept of existence, and transforms the philosophical resources of Watsuji’s theory of Fūdo, Mutai Risaku’s logic of world expression and Tanabe’s logic of species into Taiwan’s historical reality of “individuality, particularity and universality;” these philosophies developed into a new dimension in Taiwan, a culture alien to Japan. (shrink)

Naming or names (ming 名) is one of the key concepts in Daodejing (道德經). According to a popular understanding, names in Daodejing correspond to features (xing 形) of things; ordinary things have names, but Dao is featureless and nameless. What is missing, however, is atheory of the relationship between names and features explaining why ordinary things have names but Dao does not. In this paper, I develop a theory of names in Daodejing that explains how names relate to things and (...) their features. According to this theory, a name corresponds to a feature that is shared by a group of things, and names provide identity conditions for individuating ordinary things. Further, this theory implies that the various descriptions of Dao in Daodejing do not include names; therefore, talking about Dao while insisting that it is unnamable is not committed to any paradox. (shrink)

The virtual brand community has become an important marketing tool for companies. A successful brand community marketing strategy should attract a large number of consumers. Although past studies have revealed consumer motivations for participating in virtual brand communities, they fail to answer an important question: Why is it so easy for some virtual brand communities to attract users while others have such difficulty? In this study, product characteristics are hypothesized to be important factors that determine consumer motivation to participate in (...) brand communities. Product characteristics can directly affect how actively consumers participate in brand communities. The results of questionnaires show that product complexity, product symbolism, and product satisfaction have a positive influence on consumers’ willingness to participate in brand communities. Notably, the duration of product use has a regulating effect on the influence of product satisfaction and product symbolism. A long period of product use weakens the influence of product satisfaction on consumers’ willingness to participate in brand communities. On the contrary, a long period of product use strengthens the influence of product symbolism on consumers’ willingness to participate in brand communities. This study enriches the literature on brand community participation and has implications for companies that aim to utilize brand communities for marketing. (shrink)

At present, customers’ low satisfaction and loyalty to city express service have restricted the development of city express. It is particularly important to analyze the factors causing customers’ low satisfaction and loyalty, which will promote the development of city express industry effectively. Based on SERVQUAL model and CCSI model, this paper constructs a new evaluation index system from the perspective of service quality. Through this new system, this paper first explores the factors that affect customers’ satisfaction and loyalty, respectively, by (...) fuzzy analytic hierarchy process and hierarchical regression analysis, taking the expected and perceived service quality as conversion variables. And then it analyzes the common factors that affect customers’ satisfaction and loyalty comprehensively. These two analyses will provide reference for solving the problem of low customer satisfaction and loyalty of city express enterprises. The results show that popularity and credibility, delivery time commitment, and mailing security are the common main factors affecting customer satisfaction and loyalty. Easy-to-understand receipts, the three-level index corresponding to the empathy dimension, is the most significant factor affecting customers’ loyalty in city express industry; Delivery time commitment, the three-level index corresponding to the reliability dimension, is the most significant factor affecting customers’ loyalty in city express industry. (shrink)