An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process

Focusing on quality-related complex industrial process performance monitoring, a novel multimode process monitoring method is proposed in this paper. Firstly, principal component space clustering is implemented under the guidance of quality variables. Through extraction of model tags, clustering information of original training data can be acquired. Secondly, according to multimode characteristics of process data, the monitoring model integrated Gaussian mixture model with total projection to latent structures is effective after building the covariance description form. The multimode total projection to latent structures (MTPLS) model is the foundation of problem solving about quality-related monitoring for multimode processes. Then, a comprehensive statistics index is defined which is based on the posterior probability of the monitored samples belonging to each Gaussian component in the Bayesian theory. After that, a combined index is constructed for process monitoring. Finally, motivated by the application of traditional contribution plot in fault diagnosis, a gradient contribution rate is applied for analyzing the variation of variable contribution rate along samples. Our method can ensure the implementation of online fault monitoring and diagnosis for multimode processes. Performances of the whole proposed scheme are verified in a real industrial, hot strip mill process (HSMP) compared with some existing methods

The evolution of commercial finance in Ming-Qing China: 16th to Early-20th Centuries

Objective/Context: This article surveys the evolution of commercial finance in Ming-Qing China and responds to the debates about the role of finance in the “Great Divergence” between China and Europe. Methodology: Based on new historical materials, especially commercial documents, we study the evolution of financial organizations at different levels as delineated by Fernand Braudel. We also analyze the long-run trends of commercial interest rates in the Ming-Qing eras based on a novel historical database of interest rates in China. Originality: This article explores capital market developments since the 16th century and their relationship with the state —a topic that has been almost entirely neglected in the existing literature. We also find improvements in market integration in China before the late 19th century when Western financial institutions began to enter China, and the prime commercial interest rate in the capital market was much lower than the dominant accounts in the “Great Divergence” debate. Conclusions: While current comparative studies either emphasize the financial stagnation of Ming-Qing China relative to the West or emphasize its special development through non-market mechanisms, e.g., clans, this article shows that the capital market played a similar key role in the evolution of finance in Ming-Qing China as it did in advanced parts of Europe. Thus, we suggest that the difference in financial development between China and the West lies in the organizational structure of the financial sector and the relationship between finance and the state.Objetivo/Contexto: Este artículo estudia la evolución de las finanzas comerciales en la China de Ming-Qing y responde a los debates sobre el papel de las finanzas en la “Gran Divergencia” entre China y Europa. Metodología: A partir de nuevos materiales históricos, especialmente documentos comerciales, estudiamos la evolución de las organizaciones financieras en diferentes niveles, tal y como los delineó Fernand Braudel. También analizamos las tendencias a largo plazo de las tasas de interés comercial en las épocas Ming-Qing a partir de una novedosa base de datos histórica de tasas de interés en China. Originalidad: Este artículo explora los desarrollos del mercado de capitales desde el siglo xvi y su relación con el Estado —un tema que ha sido casi totalmente descuidado en la literatura existente—. También encontramos mejoras en la integración del mercado en China antes de finales del siglo xix, cuando las instituciones financieras occidentales empezaron a entrar en China, y el tipo de interés comercial principal en el mercado de capitales era mucho más bajo que el de los recuentos dominantes en el debate de la “Gran Divergencia”. Conclusiones: Mientras que los estudios comparativos actuales enfatizan el estancamiento financiero de la China Ming-Qing en relación con Occidente o hacen hincapié en su desarrollo especial a través de mecanismos ajenos al mercado, como por ejemplo los clanes, este artículo muestra que el mercado de capitales desempeñó un papel clave en la evolución de las finanzas en la China Ming-Qing similar al que tuvo en partes avanzadas de Europa. Así, sugerimos que la diferencia en el desarrollo financiero entre China y Occidente radica en la estructura organizativa del sector financiero y en la relación entre las finanzas y el Estado.Objetivo/Contexto: neste artigo, é estudada a evolução das finanças comerciais na China Ming-Qing e são abordados os debates sobre o papel das finanças na “Grande divergência” entre a China e a Europa. Metodologia: usando novos materiais históricos, especialmente documentos comerciais, estudamos a evolução das organizações financeiras em diferentes níveis, conforme delineado por Fernand Braudel. Também analisamos as tendências de longo prazo das taxas de juros comerciais nas eras Ming-Qing usando um novo banco de dados histórico de taxas de juros na China. Originalidade: neste artigo, exploramos os desenvolvimentos no mercado de capitais desde o século 16 e sua relação com o Estado — um tópico que foi quase totalmente negligenciado na literatura existente. Também constatamos melhorias na integração do mercado na China antes do final do século 19, quando as instituições financeiras ocidentais começaram a entrar na China, e a principal taxa de juros comercial no mercado de capitais era muito mais baixa do que os relatos dominantes no debate sobre a “Grande divergência”. Conclusões: embora os estudos comparativos atuais enfatizem a estagnação financeira da China Ming-Qing em relação ao Ocidente ou enfatizem seu desenvolvimento especial por meio de mecanismos não mercantis, como os clãs, este artigo mostra que o mercado de capitais desempenhou um papel fundamental na evolução das finanças na China Ming-Qing, semelhante ao que ocorreu em partes avançadas da Europa. Assim, sugerimos que a diferença no desenvolvimento financeiro entre a China e o Ocidente esteja na estrutura organizacional do setor financeiro e na relação entre as finanças e o Estado

Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion

An asynchronous RUL fusion estimation algorithm is presented for the hidden degradation process with multiple asynchronous monitoring sensors based on multisource information fusion. Firstly, a state-space type model is established by modeling the stochastic degradation as a Wiener process and transforming asynchronous indirectly observations in the fusion period to the fusion time. The statistical characteristics of involved noises and their correlations are analyzed. Secondly, the estimate of the hidden degradation state is obtained by applying Kalman filtering with correlated noises to the established state-space model, where the synchronized observations are fused. Also, the unknown model parameters are recursively identified based on the Expectation-Maximization (EM) algorithm with the Generic Algorithm (GA) adopted to solve the maximization problem. Finally, the probability distribution of RUL is obtained using the fused degradation state estimation and the updated identification result of the model parameters. Simulation results show that the proposed fusion method has better performance than the RUL estimation with single sensor

Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering

A fault detection, isolation, and estimation approach is proposed in this paper based on Interactive Multimodel (IMM) fusion filtering and Strong Tracking Filtering (STF) for asynchronous multisensors dynamic systems. Time-varying fault is considered and a candidate fault model is built by augmenting the unknown fault amplitude directly into the system state for each kind of possible fault mode. By doing this, the dilemma of predetermining the fault extent as model design parameters in traditional IMM-based approaches is avoided. After that, the time-varying fault amplitude is estimated based on STF using its strong ability to track abrupt changes and robustness against model uncertainties. Through fusing information from multiple sensors, the performance of fault detection, isolation, and estimation is approved. Finally, a numerical simulation is performed to demonstrate the feasibility and effectiveness of the proposed method

NLRP6 Serves as a Negative Regulator of Neutrophil Recruitment and Function During Streptococcus pneumoniae Infection

Streptococcus pneumoniae is an invasive pathogen with high morbidity and mortality in the immunocompromised children and elderly. NOD-like receptor family pyrin domain containing 6 (NLRP6) plays an important role in the host innate immune response against pathogen infections. Our previous studies have shown that NLRP6 plays a negative regulatory role in host defense against S. pneumoniae, but the underlying mechanism is still unclear. The further negative regulatory role of NLRP6 in the host was investigated in this study. Our results showed that NLRP6(-/-) mice in the lung had lower bacterial burdens after S. pneumoniae infection and expressed higher level of tight junction (TJ) protein occludin compared to WT mice, indicating the detrimental role of NLRP6 in the host defense against S. pneumoniae infection. Transcriptome analysis showed that genes related to leukocytes migration and recruitment were differentially expressed between wild-type (WT) and NLRP6 knockout (NLRP6(-/-)) mice during S. pneumoniae infection. Also, NLRP6(-/-) mice showed higher expression of chemokines including C-X-C motif chemokine ligand 1 (CXCL1) and 2 (CXCL2) and lower gene expression of complement C3a receptor 1 (C3aR1) and P-selectin glycoprotein ligand-1 (PSGL-1) which are the factors that inhibit the recruitment of neutrophils. Furthermore, NLRP6(-/-) neutrophils showed increased intracellular bactericidal ability and the formation of neutrophil extracellular traps (NETs) during S. pneumoniae infection. Taken together, our study suggests that NLRP6 is a negative regulator of neutrophil recruitment and function during S. pneumoniae infection. Our study provides a new insight to develop novel strategies to treat invasive pneumococcal infection

Functional connectivity of the human amygdala in health and in depression

To analyze the functioning of the amygdala in depression, we performed the first voxel-level resting state functional-connectivity neuroimaging analysis of depression of voxels in the amygdala with all other voxels in the brain, with 336 patients with major depressive disorder and 350 controls. Amygdala voxels had decreased functional connectivity with the orbitofrontal cortex, temporal lobe areas, including the temporal pole, inferior temporal gyrus, and the parahippocampal gyrus. The reductions in the strengths of the functional connectivity of the amygdala voxels with the medial orbitofrontal cortex and temporal lobe voxels were correlated with increases in the Beck Depression Inventory score and in the duration of illness measures of depression. Parcellation analysis in 350 healthy controls based on voxel-level functional connectivity showed that the basal division of the amygdala has high functional connectivity with medial orbitofrontal cortex areas, and the dorsolateral amygdala has strong functional connectivity with the lateral orbitofrontal cortex and related ventral parts of the inferior frontal gyrus. In depression, the basal amygdala division had especially reduced functional connectivity with the medial orbitofrontal cortex which is involved in reward; and the dorsolateral amygdala subdivision had relatively reduced functional connectivity with the lateral orbitofrontal cortex which is involved in non-reward

Knowledge Domains and Emerging Trends of Osteoblasts-Osteoclasts in Bone Disease From 2002 to 2021: A Bibliometrics Analysis and Visualization Study

BackgroundOsteoblasts-Osteoclasts has been a major area in bone disease research for a long time. However, there are few systematic studies in this field using bibliometric analysis. We aimed to perform a bibliometric analysis and visualization study to determine hotspots and trends of osteoblasts-osteoclasts in bone diseases, identify collaboration and influence among authors, countries, institutions, and journals, and assess the knowledge base to develop basic and clinical research in the future.MethodsWe collected articles and reviews for osteoblasts-osteoclasts in bone diseases from the Web of Science Core Collection. In addition, we utilized scientometrics software (CiteSpace5.8 and VOSviewer1.6.18) for visual analysis of countries/regions, institutions, authors, references, and keywords in the field.ResultsIn total, 16,832 authors from 579 institutions in 73 countries/regions have published 3,490 papers in 928 academic journals. The literature in this field is rapidly increasing, with Bone publishing the most articles, whereas Journal of Bone and Mineral Research had the most co-cited journals. These two journals mainly focused on molecular biology and the clinical medicine domain. The countries with the highest number of publications were the US and China, and the University of Arkansas for Medical Sciences was the most active institution. Regarding authors, Stavros C. Manolagas published the most articles, and Hiroshi Takayanagi had the most co-cited papers. Research in this field mainly includes molecular expression and regulatory mechanisms, differentiation, osteoprotection, inflammation, and tumors. The latest research hotspots are oxidative stress, mutation, osteocyte formation and absorption, bone metabolism, tumor therapy, and in-depth mechanisms.ConclusionWe identified the research hotspots and development process of osteoblasts-osteoclasts in bone disease using bibliometric and visual methods. Osteoblasts-osteoclasts have attracted increasing attention in bone disease. This study will provide a valuable reference for researchers concerned with osteoblasts-osteoclasts in bone diseases