This paper investigates both the time-varying formation and multiple time-varying formation tracking problems of networked heterogeneous robotic systems with parameter uncertainties and external disturbances in the task space. Each robot inside can be either redundant or nonredundant. Several novel estimator-based hierarchical cooperative algorithms are designed to achieve both the tracking task and the possible preset subtasks for redundant robots. Besides, the designed estimator algorithms guarantee that each robot can obtain the accurate information of their corresponding leaders. By employing Lyapunov stability (...) and input-to-state stability, sufficient conditions on the asymptotic stability of the error closed-loop system are derived. Finally, two simulation examples are presented to verify the effectiveness of the proposed algorithms. (shrink)

Morality, in the context of luxury counterfeit goods, has been widely discussed in existing literature as having a strong association with decreased purchase intention. However, drawing on moral disengagement theory, we argue that individuals are motivated to justify their immoral behaviors through guilt avoidance, thus increasing counterfeit purchase intention. This research demonstrates that consumers’ desire to purchase counterfeit luxuries hinges on two types of moral reasoning strategies: moral rationalization and moral decoupling. The empirical results show that each strategy increases purchase (...) intention, but respectively through moral judgment and perceived benefit. Implications for researchers and managers are discussed. (shrink)

Reasonable spatial organization of the tourism industry can improve the utilization efficiency of regional tourism industry elements. Taking Dalian City in China as an example, this paper collects various types of tourism industry data and introduces GIS network analysis technology into tourism studies to determine the location, scale, and number of tourism nodes in Dalian and optimize the spatial organization nodes and organization models of the tourism industry. This will help ease the pressure on tourism reception in the southern area (...) of Dalian and promote better development and utilization of tourism resources and tourism facilities in the central and northern regions. The results show that when using the “minimizing facility points” model, a total of 17 second-level tourism nodes and 5 first-level tourism nodes are obtained after optimization. The location of these nodes is highly correlated with the level of tourist scenic spots, while tourist scenic spots play a significant role in leading and driving tourism nodes. Using the “maximum coverage” model for optimization, 3138 tourism enterprises are connected with tourism nodes, thus realizing the shortest traffic path between tourism enterprises and tourism nodes, which minimizes the total cost of network services. Compared with suburban areas, enterprises in urban tourism areas are densely distributed, meaning that a smaller service radius of tourism nodes can cover more enterprises. A total of 10 first-level tourism channels and 12 second-level tourism channels are optimized using the “nearest facility” model. The first-level tourism channels are mainly distributed in the central and southern areas of Dalian. These channels connect nodes mainly through national and provincial roads. The second-level tourism channels are mainly distributed in the central and northern areas of Dalian. This study aims to analyze the evolution process of the spatial organization mode of Dalian’s tourism industry and construct a hub-spoke network tourism industry spatial organization mode composed of 17 hubs, 22 spokes, and 22 tourism domains. The analysis and construction are designed according to the optimization results of tourism nodes and tourism channels. The research results enrich the theories and technical means of tourism industry spatial organization and provide references and suggestions for local governments or tourism planning decision-makers; they also provide a scientific basis for the rational allocation of tourism industry elements and promote the rational distribution of tourism industry. (shrink)

While prior research suggests a link between mindfulness and ethical decision-making, most of the evidence for this link is correlational and refers to self-focused ethical behaviors. The paucity of experimental evidence, coupled with a lack of clarity on what mechanisms underlie the effect, limits our understanding of whether and how mindfulness might foster other-focused ethical behaviors. In this research, we hypothesize that state mindfulness might promote other-focused ethical behaviors by increasing resourcefulness, which we define as a perceived state of resource (...) abundance. Across four experimental studies, we report causal evidence for the effects of state mindfulness instantiated through brief mindful meditation exercises on other-focused ethical behaviors, including choice of fair-trade products, charitable giving, and volunteering. Resourcefulness mediates the effects of mindfulness on other-focused ethical behaviors. Our work answers the call for more experimental research on mindfulness and its important implications for ethical decision-making. (shrink)

Immunology researchers are beginning to explore the possibilities of reproducibility, reuse and secondary analyses of immunology data. Open-access datasets are being applied in the validation of the methods used in the original studies, leveraging studies for meta-analysis, or generating new hypotheses. To promote these goals, the ImmPort data repository was created for the broader research community to explore the wide spectrum of clinical and basic research data and associated findings. The ImmPort ecosystem consists of four components–Private Data, Shared Data, Data (...) Analysis, and Resources—for data archiving, dissemination, analyses, and reuse. To date, more than 300 studies have been made freely available through the ImmPort Shared Data portal , which allows research data to be repurposed to accelerate the translation of new insights into discoveries. (shrink)

Western Zhou Dynasty Western Zhou bronze inscriptions is to study the history of one of the most important historical data, subject to accurate staging and the Interpretation of the premise. Mid-Western Zhou season Ding, Jin Yang Gui and other information in the "Sikou" is not the official said, there is always a judicial official weekly generation "Sikou" of the set or with a similar view can not be established. Zhou, "Sikou" the establishment of very late times, can only be derived (...) up to the West weekend leaves, and its position is not high, in order to arrest Koudao, maintaining social order as the main ministry. Bureaucracy in the recovery of the Western Zhou Dynasty, it should distinguish Officials with the ministry, and not with the "Rites" and other literature forced analogy. Bronze inscriptions in Western Thou can become a vital historical evidence to study its history, only on the condition of a prudent periodization and explanation. Sikou in bronze inscriptions on xiaojiding and yanggui is not a name for official rank. The argument that there ever existed a judicial office of sikou and alike during the whole Thou Dynasty is problematic. Instead, it was set up as late as in the end of Western Zhou. Ranked rather low, sikou was mainly in charge of conning after robbers and guarding the social security. When doing research on the reinstatement of the bureaucracy in Western Thou, the official rank and its responsibility should be considered in separation, and any effort to conform them to that in zhouli is questionable. (shrink)

ObjectiveTo investigate the influence of quality of life on unhealthy emotions as well as relevant factors among patients with endometriosis for supporting relevant clinical care.MethodsA convenience sampling method was used to administer questionnaires to 139 patients with endometriosis, using the Hamilton Anxiety Inventory, the Depression Anxiety Scale, and the SF-12 Health Survey Short Form, and the results were analyzed. The SPSS20.0 software was used for statistical analysis on relevant data. If P < 0.05, there was statistical significance.ResultsTwelve-Item Short Form for (...) health survey covered two comprehensive indexes, i.e., physical component summary and mental component summary scores. MCS score was the main factor influencing anxiety and depression in patients with endometriosis; the higher the MCS score, the lower the anxiety and depression degrees in patients with endometriosis. PCS score was a factor influencing anxiety degree; the higher the PCS score, the lower the anxiety degree.ConclusionThe QOL of patients with endometriosis is negatively correlated with anxiety and depression. Therefore, improvement in QOL may help relevant patients to relieve their unhealthy emotions. (shrink)

To bolster its legitimacy, China's authoritarian regime has launched numerous anticorruption campaigns. Many of these anticorruption campaigns seemed tainted by intra-elite competition and only effective at deterring low- and mid-level cadres. Yet, Xi's campaign differs notably from previous ones in his targeting of senior officials and introduction of institutional changes. By integrating anti-corruption data with three waves of nationwide surveys conducted in 36 major cities in China, we explore and compare the impacts of anti-corruption campaigns on popular political support under (...) Hu and Xi. Our analysis shows that the overall popular support has declined steadily overtime, despite the positive effects of Xi's anti-corruption campaign. Specifically, ordinary Chinese did react positively to Xi's anticorruption campaign. Xi's campaign, particularly his crackdown on ‘tigers,’ increased people's trust in the central government. However, the campaign fell short in restoring the decline of central and local government legitimacy. (shrink)

BackgroundCognitive frailty includes reversible and potentially reversible subtypes; the former is known as concurrent physical frailty and pre-mild cognitive impairment subjective cognitive decline, whereas the latter is known as concurrent PF and MCI. The diagnoses of pre-MCI SCD and MCI are based on clinical criteria and various subjective cognitive decline questionnaires. Heterogeneous assessment of cognitive impairment results in significant variability of CI, CF, and their subtype prevalence in various population-based studies.ObjectiveThis study aimed to compare the classification differences in CI and (...) CF subtypes from PF and normal cognition by applying clinical and objective cognitive criteria. Clinical criteria comprised Fried PF and clinical MCI criteria combined with the SCD questionnaire, whereas objective criteria comprised Fried PF and objective cognitive criteria based on the norm-adjusted six neuropsychological test scores.MethodsOf the 335 volunteers in this study, 191 were diagnosed with CI based on clinical cognitive diagnosis criteria, and 144 were identified as robust normal based on objective cognitive assessment from the community-dwelling older adult cohort. Individuals with clinical CI, including 94 with MCI and 97 with pre-MCI SCD, were reclassified into different z-score-derived MCI, pre-MCI SCD, and normal subgroups based on objective cognitive criteria. The classification diagnostic accuracy of normal cognition, PF, pre-MCI, MCI, CF, and CF subtypes based on clinical and objective criteria was compared before and after adjusting for age, sex, and education level.ResultsThe reclassification of objective assessments indicated better performance than that of clinical assessments in terms of discerning CI severity among different subgroups before adjusting for demographic factors. After covariate adjustment, clinical assessments significantly improved the ability to cognitively discriminate normal individuals from those with pre-MCI SCD and MCI but not the z-score-derived pre-MCI SCD and MCI groups from the robust normal group. Furthermore, the adjustment did not improve the ability to discriminate among individuals with reversible CF from those with potentially reversible CF and pre-MCI only SCD from MCI only SCD.ConclusionsObjective criteria showed better performance than clinical criteria in the diagnosis of individuals with CI or CF subtypes. Rapid clinical cognitive screening in combination with normative z-scores criteria is cost effective and sustainable in clinical practice. (shrink)

BackgroundFried physical frailty, with mobility frailty and non-motor frailty phenotypes, is a heterogeneous syndrome. The coexistence of the two phenotypes and cognitive impairment is referred to as cognitive frailty. It remains unknown whether frailty phenotype has a different association with hearing loss and tinnitus.MethodsOf the 5,328 community-dwelling older adults, 429 participants aged ≥58 years were enrolled in the study. The participants were divided into robust, mobility, and non-mobility frailty, mobility and non-mobility CF, and cognitive decline [subdivided into mild cognitive impairment (...) and pre-MCI] groups. The severity and presentations of HL and/or tinnitus were used as dependent variables in the multivariate logistic or nominal regression analyses with forward elimination adjusted for frailty phenotype stratifications and other covariates.ResultsPatients with physical frailty or who are robust were found to have lower probability of developing severe HL and tinnitus, and presented HL and/or tinnitus than those with only cognitive decline, or CF. Patients with RCF and non-mobility RCF had higher probability with less HL and tinnitus, and the presentation of HL and/or tinnitus than those with PRCF and mobility RCF. Other confounders, age, cognitive and social function, cardiovascular disease, depression, and body mass index, independently mediated the severity of HL and tinnitus, and presented HL and/or tinnitus.ConclusionFrailty phenotypes have divergent association with HL and tinnitus. Further research is required to understand the differential mechanisms and the personalized intervention of HL and tinnitus.Clinical Trial RegistrationClinicalTrials.gov identifier, NCT2017K020. (shrink)

BackgroundIn the early days of COVID-19 outbreak, the normally orderly health system was severely challenged by large numbers of feverish patients and shortage of healthcare workers. The outbreak played a harmful role in the mental health of these healthcare workers.ObjectiveWe aim to assess the prevalence of moderate or severe anxiety and depression symptoms of healthcare workers in different regions during COVID-19 disaster and identify the potential risk factors.MethodsWe did a cross-sectional study on ADS of healthcare workers in epicenter-Hubei province and (...) regions in lower epidemic-other provinces by questionnaire online. The data of ADS, the demographic characteristics, occupational exposure, physical condition, family situation, and coping styles were collected and analyzed.ResultsA total of 24.68% of the respondents had experienced moderate or severe ADS. Moderate or severe ADSs were in a higher prevalence in Hubei than other provinces. Suspicious symptoms on their own and in family members were independent risk factors of moderate or severe ADS of all health workers. Working on the frontline was the independent risk factor for participants in Hubei province, whereas quarantine was the independent risk factor for those in other provinces. Moreover, among all participants, those with negative coping style were more than four times more likely to have moderate or severe ADS than those with positive coping style.ConclusionModerate or severe ADSs were in a higher prevalence in healthcare workers of Hubei province during COVID-19 outbreak. The coping style may have major impact on ADS in such situation. (shrink)

Knowing formation ahead of the drill bit can help with hydrocarbon exploration and production, especially for low-angle and vertical wells. The advent of electromagnetic look-ahead technology makes it possible to interrogate formations tens of feet ahead of the drill bit. The formation can be very complex, such as fault and unconformity. However, existing approaches to recover the formation rely primarily on the 1D forward solver, which presumes that the formation is layered and transversely isotropic. For complicated formation, it will give (...) rise to incorrect resistivity distribution. As a consequence, we have investigated and implemented a 2D pixel-based inversion algorithm to interpret the measurements for complex scenarios. We conduct a sensitivity study to illustrate the differences between look-ahead applications and look-around applications. To improve the look-ahead ability, we propose an effective technique to incorporate the prior information. In addition, we develop several examples to demonstrate the performance of the 2D inversion algorithm. It is found that using prior information as a reference model in the objective function enhances inversion performance significantly, and the proposed method can reasonably reconstruct some complex structures. (shrink)

Facial emotional recognition is something used often in our daily lives. How does the brain process the face search? Can taste modify such a process? This study employed two tastes to investigate the cross-modal interaction between taste and emotional face recognition. The behavior responses and the event-related potential were applied to analyze the interaction between taste and face processing. Behavior data showed that when detecting a negative target face with a positive face as a distractor, the participants perform the task (...) faster with an acidic taste than with sweet. No interaction effect was observed with correct response ratio analysis. The early and mid-stage [early posterior negativity ] components have shown that sweet and acidic tastes modified the ERP components with the affective face search process in the ERP results. No interaction effect was observed in the late-stage component. Our data have extended the understanding of the cross-modal mechanism and provided electrophysiological evidence that affective facial processing could be influenced by sweet and acidic tastes. (shrink)

It is meaningful for a researcher to find some proper collaborators in complex academic tasks. Academic collaborator recommendation models are always based on the network embedding of academic collaborator networks. Most of them focus on the network structure, text information, and the combination of them. The latent semantic relationships exist according to the text information of nodes in the academic collaborator network. However, these relationships are often ignored, which implies the similarity of the researchers. How to capture the latent semantic (...) relationships among researchers in the academic collaborator network is a challenge. In this paper, we propose a content-enhanced network embedding model for academic collaborator recommendation, namely, CNEacR. We build a content-enhanced academic collaborator network based on the weighted text representation of each researcher. The content-enhanced academic collaborator network contains intrinsic collaboration relationships and latent semantic relationships. Firstly, the weighted text representation of each researcher is obtained according to its text information. Secondly, a content-enhanced academic collaborator network is built via the similarity of the weighted text representation of researchers and intrinsic collaboration relationships. Thirdly, each researcher is represented as a latent vector using network representation learning. Finally, top- k similar researchers are recommended for each target researcher. Experiment results on the real-world datasets show that CNEacR achieves better performance than academic collaborator recommendation baselines. (shrink)

Depth matching of multiple logging curves is essential to any well evaluation or reservoir characterization. Depth matching can be applied to various measurements of a single well or multiple log curves from multiple wells within the same field. Because many drilling advisory projects have been launched to digitalize the well-log analysis, accurate depth matching becomes an important factor in improving well evaluation, production, and recovery. It is a challenge, though, to align the log curves from multiple wells due to the (...) unpredictable structure of the geologic formations. We have conducted a study on the alignment of multiple gamma-ray well logs by using the state-of-the-art machine-learning techniques. Our objective is to automate the depth-matching task with minimum human intervention. We have developed a novel multitask learning approach by using a deep neural network to optimize the depth-matching strategy that correlates multiple gamma-ray logs in the same field. Our approach can be extended to other applications as well, such as automatic formation top labeling for an ongoing well given a reference well. (shrink)

Traditional research on emotion-face processing has primarily focused on the expression of basic emotions using adult emotional face stimuli. Stimulus sets featuring child faces or emotions other than basic emotions are rare. The current study describes the acquisition and evaluation of the Qingdao Preschooler Facial Expression set, a facial stimulus set with images featuring 54 Chinese preschoolers’ emotion expressions. The set includes 712 standardized color photographs of six basic emotions, five discrete positive emotions, and a neutral expression. The validity of (...) the pictures was examined based on 43 adult raters’ online evaluation, including agreement between designated emotions and raters’ labels, as well as intensity and representativeness scores. Overall, these data should contribute to the developmental and cross-cultural research on children’s emotion expressions and provide insights for future research on positive emotions. (shrink)