Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under the proposed control algorithm. It is found that the building structure closed-loop system is stable. Then the proposed control algorithm is applied on controlling the building structural vibration. The seismic action is chosen as El Centro seismic wave. Dynamic characteristics have comparative analysis between semiactive nonsmooth control and (...) passive control in two simulation examples. They demonstrate that the designed control algorithm has great robustness and anti-interference. The proposed control algorithm is more effective than passive control in suppressing structural vibration. (shrink)

Drawing on social exchange theory, the present study seeks to understand how ethical leaders channel followers’ responses to positive treatment from the organization into a dutiful mindset, resulting in in-role and extra-role performance. Specifically, it examines the influence of perceived organizational support on both followers’ job performance and organizational citizenship behaviors, and the mediating effects of duty orientation on such relationships. In addition, it examines whether the mediated effects are contingent on the ethical leadership exhibited by the team leader. Based (...) on multi-source, multi-level data obtained from 233 employees in 60 teams from the Chinese public sector, we found that ethical leadership moderated the mediated relationship between perceived organizational support and follower work behaviors through duty orientation, such that this relationship was stronger in the presence of higher ethical leadership. (shrink)

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - RIS M4 - Citavi.

The members of the International Network for the Analysis of Intergenerational Relations proudly present the most recent issue of the jointly produced compendium "Generations, Intergenerational Relations and Generational Policy". This new version includes 17 languages: English, French, German, Italian, Spanish, Polish, Portuguese, Swedish, Hungarian, Turkish, Romanian, Lithuanian, Slovenian, Bosnian, Ukrainian, Russian and Chinese. The layout of the compendium is designed for using it to translate the specific concepts and terminology of research on generations and intergenerational relations from one language into (...) another. **** K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. (shrink)

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

K. Lüscher, A. Klimczuk, Generations, intergenerational relationships, generational policy: A multilingual compendium, 17 languages, Universität Konstanz, Konstanz 2017, 428pp. TS - BibTeX M4 - Citavi.

本书内容包括:和合学价值的诠释、用儒学精神推动东亚的合作与发展、中国当代新文化建设的精神指向与“儒学革命”等。.

We here review primary methods used in quantifying and mapping 5‐hydroxymethylcytosine (5hmC), including global quantification, restriction enzyme‐based detection, and methods involving DNA‐enrichment strategies and the genome‐wide sequencing of 5hmC. As discovered in the mammalian genome in 2009, 5hmC, oxidized from 5‐methylcytosine (5mC) by ten‐eleven translocation (TET) dioxygenases, is increasingly being recognized as a biomarker in biological processes from development to pathogenesis, as its various detection methods have shown. We focus in particular on an ultrasensitive single‐molecule imaging technique that can detect (...) and quantify 5hmC from trace samples and thus offer information regarding the distance‐based relationship between 5hmC and 5mC when used in combination with fluorescence resonance energy transfer. (shrink)

A new three-order piecewise function was used to smoothen the model of Support Vector Machine( SVM) and a Third-order Piecewise Smooth SVM( TPSSVM) was proposed. By theory analyzing, approximation accuracy of the smooth function to the plus function is higher than that of the available. When dealing with the multi-class problem, a coding method of multi-class classification based on one-against-rest was proposed. Principal Component Analysis( PCA) was employed to extract the main features of face image set, and multi-class classification of (...) smooth SVM was used for face recognition. The experimental results on ORL and FERET face databases show that the recognition rate of smooth SVM for multi-class classification is better than the traditional identification methods. (shrink)

Neurological diseases (NDs), featured by progressive dysfunctions of the nervous system, have become a growing burden for the aging populations. N‐Deacetylase and N‐sulfotransferase 3 (NDST3) is known to catalyze deacetylation and N‐sulfation on disaccharide substrates. Recently, NDST3 is identified as a novel deacetylase for tubulin, and its newly recognized role in modulating microtubule acetylation and lysosomal acidification provides fresh insights into ND therapeutic approaches using NDST3 as a target. Microtubule acetylation and lysosomal acidification have been reported to be critical for (...) activities in neurons, implying that the regulators of these two biological processes, such as the previously known microtubule deacetylases, histone deacetylase 6 (HDAC6) and sirtuin 2 (SIRT2), could play important roles in various NDs. Aberrant NDST3 expression or tubulin acetylation has been observed in an increasing number of NDs, including amyotrophic lateral sclerosis and frontotemporal dementia (ALS/FTD), schizophrenia and bipolar disorder, Alzheimer's disease (AD), and Parkinson's disease (PD), suggesting that NDST3 is a key player in the pathogenesis of NDs and may serve as a target for development of new treatment of NDs. (shrink)

This study adopted a positive psychology perspective to investigate positive emotion and foreign language enjoyment among Chinese as a second language learners in an emergency remote teaching context amid the COVID-19 pandemic. A set of 90 preparatory Chinese language students was assessed for their level of foreign language enjoyment using the Foreign Language Enjoyment Scale. Participles' scores on self-perceived language achievement and actual test scores were adopted as the measurement of their Chinese language proficiency. The results revealed that: CSL learners (...) experienced high level of FL enjoyment in an online learning context, no significant correlation was found between FLE and leaners' actual language achievement nor between FLE and their self-perceived achievement, female learners showed higher FLE than male learners and gender was found to have a significant effect on FLE-Private, participants' geological location, i.e., whether in China or at home countries, significantly influenced their FLE, participants' regional group was not a significant predictor of FLE, and teacher-related variables and learner self-perceptions of achievement were strong predictors of FLE among CSL learners. The findings highlight the importance of teacher's role in an online learning environment and suggest that FLE may not boost performance in the short term for language beginners but is still conducive in the long run. Implications for both teachers and learners, and suggestions for future researches are provided. (shrink)

One of the most significant challenges in the application of brain-computer interfaces is the large performance variation, which often occurs over time or across users. Recent evidence suggests that the physiological states may explain this performance variation in BCI, however, the underlying neurophysiological mechanism is unclear. In this study, we conducted a seven-session motor-imagery experiment on 20 healthy subjects to investigate the neurophysiological mechanism on the performance variation. The classification accuracy was calculated offline by common spatial pattern and support vector (...) machine algorithms to measure the MI performance of each subject and session. Relative Power values from different rhythms and task stages were used to reflect the physiological states and their correlation with the BCI performance was investigated. Results showed that the alpha band RP from the supplementary motor area within a few seconds before MI was positively correlated with performance. Besides, the changes of RP between task and pre-task stage from theta, alpha, and gamma band were also found to be correlated with performance both across time and subjects. These findings reveal a neurophysiological manifestation of the performance variations, and would further provide a way to improve the BCI performance. (shrink)

Detecting and correcting execution errors is crucial for safe and efficient goal-directed behavior. Despite intensive investigations on error processing, the cognitive foundations of this process remain unclear. Based on the presumed relation between executive attention and error processing, we implemented a seven-day EA intervention by adopting the Posner cueing paradigm to test the potential causal link from EA to error processing in healthy adults. The experimental group was trained on the Posner cueing paradigm, with a ratio of invalid cue trials (...) to valid cue trials of 5:1 and a corresponding ratio of 1:1 in the active control group. We found that the EA intervention improved EA across intervention sessions. Critically, after the EA intervention, the HEA group showed that post-error accuracy was restored to the same level as the post-correct accuracy. However, post-error slowing and the flanker effect were not modulated by the EA intervention. Furthermore, we observed that the changes in the accuracy of VC trials positively predicted the changes in PEA and that the two groups were classified according to the changes in PEA with a 61.3% accuracy. Based on these results, we propose that EA causally drives error processing. And the capabilities of the “actively catch” more attention resources and the automatic mismatch processing developed after EA intervention is transferable to error processing, thereby directly resulting in the gains in post-error adjustments. Our work informs the potential cognitive mechanisms underlying this causal link. (shrink)

The purpose of this paper is to analyze the relationship between positive psychological quality and college students’ sense of responsibility for innovation and entrepreneurship from the perspective of positive psychology, explore the cultivation model that can effectively improve college students’ sense of responsibility for innovation and entrepreneurship, and promote their success in entrepreneurship. In this study, a total of 1,500 college students were selected for questionnaire survey. ANOVA was used to analyze the differences of innovation and entrepreneurship responsibilities in demographic (...) variables; factor analysis models were used to explore the factors that influence college students’ sense of responsibility for innovation and entrepreneurship; and Spearsman correlation and linear regression were used to analyze the relationship between college students’ positive quality and innovation and entrepreneurship. The results showed that the average scores of individual responsibility, team responsibility and social responsibility were 3.290, 3.624 and 3.720, respectively; individual responsibility differed significantly at the grade level; group responsibilities and social responsibilities were significantly different at the grade and gender levels; the linear fitting between benevolence, super-excellence, bravery, restraint, and wisdom with team responsibilities all reached significant levels, among which the wisdom coefficient was the highest; the linear fitting between syngroup, excellence, bravery, modesty and wisdom with social responsibility reached a significant level, among which the wisdom coefficient was the highest; the linear fitting between syngroup, excellence, bravery, modesty and wisdom with personal responsibility reached a significant level, among which the coefficient of excellence was the highest. This indicated that positive psychological qualities such as syngroup, excellence, modesty, benevolence, super-excellence, bravery, restraint, and wisdom were the influencing factors of college students’ sense of responsibility for innovation and entrepreneurship. Among them, the role of wisdom is the most noteworthy in predicting social and group responsibilities, and super-excellent is the most significant predictor for individual responsibility. (shrink)

A model predictive control method based on recursive backpropagation neural network and genetic algorithm is proposed for a class of nonlinear systems with time delays and uncertainties. In the offline modeling stage, a multistep-ahead predictor with GA-RBP neural network is designed, where GA-BP neural network is used as a one-step prediction model and GA is employed to train the initial weights and bias of the BP neural network. The incorporation of GA into RBP can reduce the possibility of the BP (...) neural network falling into a local optimum instead of reaching global optimization. In the online optimizing stage, a multistep-ahead GA-RBP neural network predictor and an improved gradient descent method are proposed to efficiently solve the online optimization problem of nonlinear MPC by minimizing a modified quadratic criterion. The designed MPC strategy can avoid information loss while linearizing the controlled system and computing the Hessian matrix and its inverse matrix. Experimental results show that the proposed approach can reduce the computational burden and improve the performance of MPC for the solution of nonlinear controlled systems. (shrink)

We study a joint pricing and inventory control problem for perishables with positive lead time in a finite horizon periodic-review system. Unlike most studies considering a continuous density function of demand, in our paper the customer demand depends on the price of current period and arrives according to a homogeneous Poisson process. We consider both backlogging and lost-sales cases, and our goal is to find a simultaneously ordering and pricing policy to maximize the expected discounted profit over the planning horizon. (...) When there is no fixed ordering cost involved, we design a deep reinforcement learning algorithm to obtain a near-optimal ordering policy and show that there are some monotonicity properties in the learned policy. We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. When a fixed ordering cost is involved, we show that our deep reinforcement learning algorithm is effective and efficient, under which the problem of “curse of dimension” is circumvented. (shrink)

Ongoing electroencephalography signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder patients and (...) healthy controls when freely listening to music. Constrained tensor factorization not only preserves the multilinear structure of the data, but also considers the common and individual components between the data. The proposed framework, combined with music information retrieval, correlation analysis, and hierarchical clustering, facilitated the simultaneous extraction of shared and unshared spatio-temporal-spectral feature patterns between/in MDD and HC groups. Finally, we obtained two shared feature patterns between MDD and HC groups, and obtained totally three individual feature patterns from HC and MDD groups. The results showed that the MDD and HC groups triggered similar brain dynamics when listening to music, but at the same time, MDD patients also brought some changes in brain oscillatory network characteristics along with music perception. These changes may provide some basis for the clinical diagnosis and the treatment of MDD patients. (shrink)

With the rapid development of social network in recent years, the threshold of information dissemination has become lower. Most of the time, rumors, as a special kind of information, are harmful to society. And once the rumor appears, the truth will follow. Considering that the rumor and truth compete with each other like light and darkness in reality, in this paper, we study a rumor spreading model in the homogeneous network called 2SIH2R, in which there are both spreader1 and spreader2. (...) In this model, we introduced discernible mechanism and confrontation mechanism to quantify the level of people's cognitive abilities and the competition between the rumor and truth. By mean-field equations, steady-state analysis, and numerical simulations in a generated network which is closed and homogeneous, some significant results can be given: the higher the discernible rate of the rumor, the smaller the influence of the rumor; the stronger the confrontation degree of the rumor, the smaller the influence of the rumor; the larger the average degree of the network, the greater the influence of the rumor but the shorter the duration. The model and simulation results provide a quantitative reference for revealing and controlling the spread of the rumor. (shrink)