Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics and word (...) separation difficulties of maintenance records are analyzed, then 7 main entity categories of power technical terms from unstructured maintenance records are chosen, and 3452 maintenance records are labeled by these categories, which is so called EPE-MR training dataset. Secondly, the standard test reports, standard maintenance, and fault analysis reports for three types of power primary equipment are employed as corpus to train character embedding in order to obtain certain words representation ability of maintenance records. After that, progressive multilevel radicals feature extraction module is designed to get detailed and fine semantic information in a hierarchical manner. Further, radicals feature representation and character embedding are concatenated and sent to BiLSTM module to extract contextual information in order to improve Chinese entity recognition ability. Moreover, CRF is introduced to handle the dependencies among prediction labels and to output the optimal prediction sequence, which can easily obtain structured data of maintenance records. Finally, comparative experiments on public MSRA dataset, China People’s Daily corpus, and EPE-MR dataset are implemented, respectively, which show the effectiveness of the proposed method. (shrink)

Objective: Automatic detection of auditory stimuli, represented by the mismatch negativity, facilitates rapid processing of salient stimuli in the environment. The amplitude of MMN declines with ageing. However, whether automatic detection of auditory stimuli is affected by visually perceived negative emotions with normal ageing remains unclear. We aimed to evaluate how fearful facial expressions affect the MMN amplitude under ageing.Methods: We used a modified oddball paradigm to analyze the amplitude of N100 and MMN in 22 young adults and 21 middle-aged (...) adults.Results: We found that the amplitude of N1 elicited by standard tones was smaller under fearful facial expressions than neutral facial expressions and was more negative for young adults than middle-aged adults. The MMN amplitude under fearful facial expressions was greater than neutral facial expressions, but the amplitude in middle-aged adults was smaller than in young adults.Conclusion: Visually perceived negative emotion promotes the extraction of auditory features. Additionally, it enhances the effect of auditory change detection in middle-aged adults but fails to compensate for this decline with normal ageing.Significance: The study may help to understand how visually perceived emotion affects the early stage of auditory information processing from an event process perspective. (shrink)

Early in Aristotle's terminology, and ever since, "essence" has been conceived as having two meanings, namely "universality" and "individuality". According to the tradition of thought that has dominated throughout the history of Western philosophy, "essence" unequivocally refers to "universality". As a matter of fact, however, "universality" cannot cover Aristotle's definition and formulation of "essence": Essence is what makes a thing "happen to be this thing." "Individuality" should be the deep meaning of "essence". By means of an analysis of some relevant (...) Western thoughts and a review of cultural realities, it can be concluded that the difference between the attitudes toward things of the natural sciences and the humane sciences mainly lies in the fact that the former focus on the pursuit of universal regularity, whereas the latter go after the value and significance of human life. The movement from natural things to cultural things is a process in which essence shifts from universality to individuality. It is the author's contention that what should be stressed in the fields of human culture and society is the construction of an ideal society that is "harmonious yet not identical", on the basis of respecting and developing individual peculiarity and otherness. /// "本质" 最早在亚里士多德的用语中包含有两重含义: 是指 "普遍的东 西" ("共相")，一是指 "个体的东西" ("这个")。在西方哲学史上民期占统治 地位的思想片面地认为: "本质" 就是指 "普遍的东西"。但实际上"普遍的东 西" 并不能涵盖亚里士多德对 "本质" 的界定和表述t 本质是使一事物 "恰恰地是 这个事物"的东西。"本质" 的深层含义应是 "个体性"。通过对西方一些相关思 想观点的分析和文化现实的考察，可以得出结论z 自然科学与人文科学对待事物的 态度的区别在于z 前者重普遍性规律的追求，后者重个体性的人生价值意义的追求。 从自然物到文化物是一个由以普遍性为本质到以个体性为本质的转化过程。在人文 社会领域应该强调的是z 在尊重和发扬个人的独特性和差异性的基础上，建立 "和而 不同"的理想社会。. (shrink)

This timely book offers revealing insights into the changing role of China in world governance as exemplified by the Silk Road Initiative, the People's Republic's first published major initiative for external affairs. Focusing on various aspects of the Silk Road Initiative, particularly those that are largely neglected in current discussions, including culture and philosophy, finance and investment, environmental protection and social responsibility, judiciary and lawyers, the authors explore a wide range of contexts in which China's role as an emerging power (...) in international relations and international law is examined. In the current era of ever-increasing populism, protectionism and challenges to globalization, the authors explore the Chinese philosophy underpinning Chinese norms of regional and international development. Bearing in mind the political and economic uncertainties hampering the establishment of such norms, the authors offer crucial insights into how the Silk Road Initiative could or should be developed and regulated. Given its depth of coverage, the book is an indispensable read for anyone interested in the Initiative and its social-legal implications. (shrink)

In studying and researching Mao Zedong's philosophical thought, it is necessary not only to study the relationship between it and Marxist philosophy, but also to study its relationship to China's traditional philosophy.

This study draws on the substitutes for leadership theory to investigate the association of strengths-based leadership with employee turnover intention and the mediating role of felt obligation for constructive change and the moderating role of job control in the linkage. Data were collected using a three-wave survey from a sample of 317 employees working in a variety of enterprises in China. The multiple regression analyses with bootstrapping procedure were utilized to examine the proposed hypotheses. The results indicate that strengths-based leadership (...) negatively relates to turnover intention and felt obligation for constructive change partially mediates the relationship between strengths-based leadership and turnover intention. Furthermore, job control, acting as a substitute for strengths-based leadership, negatively moderates the indirect relationship between strengths-based leadership and turnover intention via felt obligation for constructive change. This study contributes to the literature of strengths-based leadership and the substitutes for leadership theory by enhancing our understanding of the effect of job control. (shrink)

東アジア共通の知の基盤を創った99人。日本・中国・韓国の3か国から各33名、近世の代表的思想家を紹介。単なる技術の学ではなく、儒学を基調として、自己修養や自然への畏敬など「心」を重んじる実心実学思想は 、東アジア世界の独自かつ共通の知的達成であった。近代以降を席巻した西洋の知的体系が大きな見直しを迫られるいま、東アジア独自の知の源泉を再認識する。.

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)

With the continuous development and improvement of Internet media technologies in China, the influence of livestream e-commerce is becoming increasingly prominent, and an increasing number of people are engaging in consumption activities in this field. It is important to study consumer stickiness in livestream e-commerce to promote economic structure adjustment and innovation-driven development. Therefore, in this study, we adopted the expectation confirmation theory as the theoretical framework and analyzed the ECT and stickiness. The study considered satisfaction as the previous influencing (...) factor of user and consumer stickiness, replaced the continuance intention in the expectation confirmation model with consumer stickiness as the explanatory variable, introduced the variable of perceived playfulness as the value perception after user experience, and established a consumer stickiness factors model. A total of 262 valid questionnaires were collected in this study, and SmartPLS analysis along with interviews were used to justify the limitations of data analysis. The results of the study demonstrated a significant effect of perceived usefulness and confirmation on satisfaction, a significant effect of confirmation on perceived usefulness, a significant effect of satisfaction on stickiness, and a significant effect of confirmation on perceived playfulness. Based on findings from the data analysis and interviews, we further proposed rationalized recommendations, and aimed to provide some theoretical guidance for future research on live streaming. (shrink)

The existing computer technology is used to conduct an in-depth study and analysis of drilling waste treatment, and the results are analyzed by computer simulation optimization algorithms. Based on the system theory, we define the research system, combine the unique characteristics of the technological innovation mechanism of drilling waste treatment, and use the internal and external factors affecting the technological innovation dynamics of drilling waste treatment, such as drilling waste treatment capacity, from the current actual situation. On this basis, factor (...) analysis is used to analyze the factors affecting technological innovation dynamics from both internal and external aspects of the system, establish a system model of technological innovation dynamics of drilling waste disposal, and give the initial values of the simulation model. This will reduce the pollution of the environment and enhance the competitiveness of enterprises. Drilling waste treatment technology is getting increased attention, but at this stage, there is no suitable technology innovation mechanism for drilling waste treatment. Through the simulation trend chart obtained by sensitivity analysis, the key factors in the system are found, and the innovation power mechanism of drilling waste treatment technology is constructed, which provides a basis for the formulation of enterprise technological innovation strategies and the development of technological innovation activities. Research on the dynamic mechanism of drilling waste treatment technology innovation explores a waste treatment mechanism suitable for the drilling industry, so as to promote the steady development of the drilling industry and at the same time provide theoretical support for the treatment of drilling engineering waste. (shrink)

At Shantou University in 2008, a stand-alone engineering ethics course was first included within a Conceive–Design–Implement–Operate curriculum to address the scarcity of engineering ethics education in China. The philosophy of the course design is to help students to develop an in-depth understanding of social sustainability and to fulfill the obligations of engineers in the twenty-first century within the context of CDIO engineering practices. To guarantee the necessary cooperation of the relevant parties, we have taken advantage of the top-down support from (...) the STU administration. Three themes corresponding to contemporary issues in China were chosen as the course content: engineers’ social obligations, intellectual property and engineering safety criteria. Some popular pedagogies are used for ethics instruction such as case studies and group discussions through role-playing. To impart the diverse expertise of the practical professional practice, team teaching is adopted by interdisciplinary instructors with strong qualifications and industrial backgrounds. Although the assessment of the effectiveness of the course in enhancing students’ sense of ethics is limited to assignment reports and class discussions, our endeavor is seen as positive and will continue to sustain the CDIO reform initiatives of STU. (shrink)

This paper investigates whether and how the disclosure tone of earnings conference calls predicts future stock price crash risk. Using US public firms’ conference call transcripts from 2010 to 2015, we find that firms with less optimistic tone of year-end conference calls experience higher stock price crash risk in the following year. Additional analyses reveal that the predictive power of tone is more pronounced among firms with better information environment and lower managerial equity incentives, suggesting that extrinsic motivations for truthful (...) disclosure partially explain the predictive power of conference call tone. Our results shed light on the long-term information role of conference call tone by exploring the setting of extreme future downside risk, when managers have conflicting incentives either to unethically manipulate disclosure tone to hide bad news or to engage in ethical and truthful communication. (shrink)

Individuals often fail to accurately predict others’ decisions in a risky environment. In this paper, we investigate the characteristics and causes of this prediction discrepancy. Participants completed a risky decision-making task mixed with different domains (gain vs. loss) and probabilities (small vs. large), with some participants making decisions for themselves (the actor) and the others predicting the actors’ decisions (the predictor). The results demonstrated a prediction discrepancy: predictions were more risk-averse than the actual decisions over small-probability gains and more risk-seeking (...) over large-probability gains, while these patterns were reversed in the loss domain. Reported and predicted levels of emotional stimulation revealed a pattern that is consistent with the notion of risk-as-feelings and empathy gaps. Mediation analysis provided strong evidence that such prediction discrepancy is driven mainly by the predictor’s underestimate of the intensity (not the impact) of the actor’s emotional state. (shrink)

Social media chat groups, such as WeChat and WhatsApp groups, are widely applied in online communication. This research has conducted two studies to examine the individual level and collective level’s opinion dynamics in those groups. The opinion dynamic is driven by two variables, people’s perceived peer support and willingness of opinion expression. The perceived peer support influences the willingness of opinion expression, and the willingness influences the dynamics of real opinion-expression. First, the quasi-experimental study recruited twenty-five participants as the observation (...) group and found that decreasing perceived peer support would significantly increase individuals’ expression willingness to protect his/her opinion. To generalize the individual level findings to a collective level, the second study treated the social media chat groups as an undirected fully-connected social network and simulated people’s opinion expression dynamics with an agent-based model. The simulation indicated that with the help of increased willingness of opinion expression, the minority opinion supporters as a collective did not fall silent but continue to express themselves and increasing willingness of opinion expression would maintain the existence of minority opinion but could not help the minority reverse to the majority. (shrink)

Foxconn is a distinctive example of compressed modernity in China, which reworks the temporality and spatiality of globalized production and consumption that not only seriously affect human societies in general, but also specifically the new generation of the Chinese working class. Having grown into monopoly capital on the world market, Foxconn stands out as the new phenomenon of capital concentration and centralization, because of its speed and scale of capital accumulation in all regions of China. Unprecedented in history and incomparable (...) to other enterprises all over the globe, Foxconn now has over one million staff and workers in its industrial empire, and is the sole manufacturer for Apple and other brands. This article looks at how Chinese migrant workers, especially Foxconn workers, were induced to work in the world’s largest electronics factory, subjected to multiple pressures of time and speed, despite the fact that their struggle might lead to suicide on the one hand, but, on the other, might also spur daily and collective resistance. Inevitable conflicts and tragedies generated at the grid of compressed modernity eventually calls for reflection on human development. (shrink)

As an important way to understand leadership based on voluntary contribution mechanisms, the importance of leading by example to teamwork is becoming more and more evident in recent years. However, existing theories based on signaling and reciprocity perspectives respectively provide incomplete theoretical explaining. This study adds clarity by conducting a cross-level study that indicates a possible integrative framework of both signaling and reciprocity perspective on leading by example. Results were using data gathered from 130 Chinese college students, which were allocated (...) into one baseline group and three experimental groups. A hierarchical model was used to examine the effects of leading by example on different levels. It is found that leading by example has positive effects on the cooperation of followers on both the group level and the individual level. Risk attitudes and trust attitudes have positive effects on the cooperation of followers while Machiavellianism has no significant effects. Our findings suggest that both leading by example and personal traits significantly influence cooperation but on different levels. It also reminds us that a more systematic way to understand leadership is needed. (shrink)

Nowadays, the development of human society and daily life are inseparable from the power supply. Therefore, people also put forward higher requirements for the reliability of distribution network, but power companies can only passively deal with distribution network failures, which is a bottleneck for the improvement of distribution network reliability. The Internet of Things is the best solution for online equipment status monitoring and basic data sharing for large, widely distributed, relatively fixed, and large numbers of equipment. The construction of (...) the IoT for power distribution equipment faces many important problems, including the selection of networking, equipment selection, and interaction standards. When researching the implementation plan, research on the distribution of IoT market was carried out. Based on the grid, the idea of optimizing the investment selection plan of the power distribution using IoT was discussed, and a result verification model was established. After the completion of the theoretical part, a case study of medium-voltage distribution grid equipment management and medium-voltage distribution network equipment management based on the grid was carried out by taking a real enterprise application situation as an example. Realizing fault diagnosis of distribution network will not only provide decision support for operation and maintenance of distribution network for power companies, but also have great economic and social benefits. Aiming at the shortcomings of single data mining method in distribution network fault diagnosis, hybrid data mining method is proposed. First, rough set theory is used to reduce the original fault data and form a simplified rule set. Because of the non-linearity of distribution network fault and the strong learning ability, adaptability, and robustness of Bayesian network, Bayesian network can be used to classify distribution network faults. Therefore, a simplified fault diagnosis system is established in this paper, and its correctness is confirmed. Then, the learning and training are carried out by using Bayesian network to call the simplest rule set, which has the characteristics of short learning and training time and high diagnostic accuracy. (shrink)

This paper considers the parametric control to the Lorenz system by state feedback. Based on the solutions of the generalized Sylvester matrix equation, the unified explicit parametric expression of the state feedback gain matrix is proposed. The closed loop of the Lorenz system can be transformed into an arbitrary constant matrix with the desired eigenstructure. The freedom provided by the parametric control can be fully used to find a controller to satisfy the robustness criteria. A numerical simulation is developed to (...) illustrate the effectiveness of the proposed approach. (shrink)

E-commerce research usually focuses more on how to protect consumers’ rights and increase their purchase intention from the perspective of consumers. However, we still lack understanding of e-commerce sellers, especially cross-border e-commerce sellers. Based on the stimulus-body-response theory, this paper built a moderated mediation model to test the relationships among social support, perceived benefits, perceived usefulness and sellers’ willingness to retain. The results show that social support has a positive impact on perceived benefits and sellers’ willingness to retain; perceived benefits (...) play a partial intermediary role between social support and sellers’ willingness to retain; and perceived usefulness moderates these mediating effects. The research results further expand the perspective of e-commerce research and reveal the mechanism and boundary conditions of the influence of social support on the retention willingness of cross-border e-commerce sellers. (shrink)

Functional language has been used in many multinational corporations as a way to overcome the problems caused by the coexistence of multiple languages in the workplace. The existing literature has explored the importance, adoption, and effectiveness of functional language. Yet, how functional language shapes host country employees’ moral cognition and behavior is insufficiently researched. Guided by the Social Identity Theory, this manuscript shows that host country employees’ functional language proficiency enhances their unethical pro-organizational behavior through their linguistic group identification and (...) moral disengagement. We tested our predictions using the data collected from 309 full-time host country employees through an online survey, and the results generally supported our hypotheses. The findings make contributions to both international management and language literature and organizational moral behavior literature. (shrink)

In this paper, we study the problem of protecting privacy in recommender systems. We focus on protecting the items rated by users and propose a novel privacy-preserving matrix factorization algorithm. In our algorithm, the user will submit a fake gradient to make the central server not able to distinguish which items are selected by the user. We make the Kullback–Leibler distance between the real and fake gradient distributions to be small thus hard to be distinguished. Using theories and experiments, we (...) show that our algorithm can be reduced to a time-delay SGD, which can be proved to have a good convergence so that the accuracy will not decline. Our algorithm achieves a good tradeoff between the privacy and accuracy. (shrink)

BackgroundNurses are facing increasing pressure due to the progressing of society, broadening of nursing service connotation, and increasing of the masses’ demand for medical treatment. Psychiatric nurses face suicides, violence, and lost along with other accidents involving patients with mental disorders under higher psychological pressure. A coping style, which is affected by individual emotions and cognition, is an essential psychological resource that allows individuals to regulate stress. The purpose of this study was to investigate the correlation between self-acceptance and the (...) positive coping style of psychiatric nurses, and investigate the mediating role of emotional intelligence.MethodsA total of 813 psychiatric nurses from six natural regions in Shandong Province were investigated using the Self-Acceptance Questionnaire (SAQ), Emotional Intelligence Scale (EIS), Simplified Coping Style Questionnaire (SCSQ), and self-compiled general information questionnaire.ResultsThe total EIS score of psychiatric nurses was 3.848 ± 0.459. The highest score was for others’ emotional management (4.071 ± 0.548) and the lowest was for emotion perception (3.684 ± 0.483). EIS and positive coping style were statistically significant based on age, work experience, professional title, education level, and gender (p < 0.05,p < 0.01). Self-acceptance was statistically significant only for professional titles (F = 3.258,p = 0.021). Self-acceptance and emotional intelligence were positively correlated with positive coping style (r = 0.361,p < 0.01;r = 0.492,p < 0.01, respectively). The factors were also positively correlated with each other (r = 0.316,p < 0.01). Self-emotion management, others’ emotional management, emotion perception, self-acceptance, and education level jointly predicted positive coping styles (R2 = 0.305,F = 60.476,p = 0.000). Emotional intelligence partially mediated the relationship between self-acceptance and positive coping styles, with a mediating effect of 16.3%.ConclusionEmotional intelligence and self-acceptance can promote positive coping styles and improve psychiatric nurses’ mental health. (shrink)

The outbreak of COVID-19 at the end of 2019 has become the most devastating public health event of the 21st century. The different performances of governments and people in different countries and regions show that national values may play an important role in the prevention and control of COVID-19. Based on data from the seventh wave of World Values Survey and the Human Freedom Index report in 2020, three national value factors are extracted in this manuscript, including religious belief, government (...) satisfaction and individual freedom. Then ordinary least squares regression regression model is constructed to explore the influence of these three value factors on the prevention and control of COVID-19 and some heterogeneity analysis is implemented. The results show that religious belief and individual freedom significantly increased the COVID-19 infection rate, while government satisfaction significantly reduced the COVID-19 infection rate. The study findings have the ability to hold up after a range of robustness. For countries and regions with different COVID-19 testing policies, the influence of national values is different. Only in countries and regions with high testing rate policies and complete systems of the prevention and control of COVID-19, the influence of national values is significant. Based on these findings, a series of targeted policy recommendations for building national values in the post-epidemic era are proposed. (shrink)

The Bayesian vector autoregressive model introduces the statistical properties of variables as the prior distribution of the parameters into the traditional vector autoregressive model, which can overcome the problem of too little freedom. The BVAR model established in this paper can overcome the problem of short time series data by using prior statistical information. In theory, it should have a good effect in China’s regional economic forecasting. Most regional forecasting model literature lacks out-of-sample forecasting error evaluation research in the real (...) sense, but our early forecasts of major economic indicators provide an excellent opportunity for this paper to evaluate the actual forecast errors of the BVAR model in detail. The analysis in this paper shows that the prediction error of the BVAR model is very small and the prediction ability is very satisfactory. At the same time, this article also analyzes and points out the direction of efforts to further improve the prediction accuracy of the BVAR model. (shrink)

Examining the influence of trust in fostering knowledge sharing behavior in virtual teams is of great research value in the current complex, dynamic, and competitive era of a knowledge economy. This study investigated the relationship between trust in coworkers and KSB. Based on social information processing theory and social cognitive theory, we developed a multilevel moderated mediation model where the team members’ psychological safety was considered a mediator, while team virtuality and knowledge sharing self-efficacy acted as team and individual-level moderators, (...) respectively. On surveying 282 individuals in 37 virtual teams of three Chinese internet companies, we found that TC positively affected team members’ KSB and this relationship was fully mediated by team members’ PS. Our findings also demonstrated that the effect of TC on KSB depended on the degree of TV and employees’ KSSE. Specifically, when TV and KSSE were higher, the TC–PS and PS–KSB relationship and the mediating effects of PS in the TC–PS–KSB relationship were all stronger. Our study extends the trust-KSB literature by identifying the psychological mechanism and boundary conditions in the TC-KSB relationship. Moreover, our findings also offer valuable managerial implications for virtual team managers on facilitating team members’ PS and KSB. (shrink)

We show that there is a $$ \varvec{\Sigma }_4^0$$ ideal such that it’s neither extendable to any $$ \varvec{\Pi }_3^0$$ ideal nor above the ideal $$\textrm{Fin}\times \textrm{Fin}$$ in the sense of Katětov order, answering a question from M. Hrušák.

The study of opera art at the turn of the 18th–19th centuries is currently a topical research. At the beginning of the 19th century, many cardinal changes took place in the field of vocal performance: new types of singing voices and dramatic roles were formed, the manner of ornamentation of parts underwent changes. Many works of domestic and foreign musicologists are mainly devoted to the study of the operatic performance of tenors, basses, contraltos and sopranos. Occasionally, they mention the baritones (...) of the Verdi period, and the period of the birth of the baritone role, unfortunately, remains unexplored. The subject of this study is the operatic and vocal work of the Italian baritone Antonio Tamburini. The object of the study is the baritone roles created for the singer. The theoretical and methodological basis of the study was the works of modern domestic and foreign musicologists devoted to the art of vocal masters of the early 19th century, reviews of Tamburini's contemporary music critics and his creative biography. The novelty of the study lies in the identification of causal relationships between the performance of the singer and the evolutionary processes that occurred in the opera art of the early 19th century. The main conclusion of the study is to identify the role of Tamburini in the formation of the role of the baritone. (shrink)