•A roadmap of statistical process monitoring (SPM) is proposed and most recent developments are reviewed and summarized.•Challenges and potential solutions to manufacturing big data are discussed and ...feature based SPM is suggested as promising.•The future directions of SPM and advantages of feature based SPM are discussed in the context of smart manufacturing.
With ever-accelerating advancement of information, communication, sensing and characterization technologies, such as industrial Internet of Things (IoT) and high-throughput instruments, it is expected that the data generated from manufacturing will grow exponentially, generating so called ‘big data’. One of the focuses of smart manufacturing is to create manufacturing intelligence from real-time data to support accurate and timely decision-making. Therefore, big data analytics is expected to contribute significantly to the advancement of smart manufacturing. In this work, a roadmap of statistical process monitoring (SPM) is presented. Most recent developments in SPM are briefly reviewed and summarized. Specific challenges and potential solutions in handling manufacturing big data are discussed. We suggest that process characteristics or feature based SPM, instead of process variable based SPM, is a promising route for next generation SPM and could play a significant role in smart manufacturing. The advantages of feature based SPM are discussed to support the suggestion and future directions in SPM are discussed in the context of smart manufacturing.
This paper investigates the physical-layer security for an indoor visible light communication network consisting of a transmitter, a legitimate receiver, and an eavesdropper. Both the main channel ...and the wiretapping channel have non-negative inputs, which are corrupted by additive white Gaussian noises. Considering the illumination requirement and the physical characteristics of lighting source, the input is also constrained in both its average and peak optical intensities. Two scenarios are investigated: one is only with an average optical intensity constraint and the other is with both average and peak optical intensity constraints. Based on the information theory, closed-form expressions of the upper and lower bounds on secrecy capacity for the two scenarios are derived. Numerical results show that the upper and lower bounds on secrecy capacity are tight, which validates the derived closed-form expressions. Moreover, the asymptotic behaviors in the high signal-to-noise ratio (SNR) regime are analyzed from the theoretical aspects. At high SNR, when only considering the average optical intensity constraint, a small performance gap exists between the asymptotic upper and lower bounds on secrecy capacity. When considering both average and peak optical intensity constraints, the asymptotic upper and lower bounds on secrecy capacity coincide with each other. These conclusions are also confirmed by numerical results.
Middle East respiratory syndrome coronavirus （MERS-CoV）, a member of the Coronavifidae family, is the causative pathogen for MERS that is characterized by high fever, pneumonia, acute respiratory ...distress syndrome （ARDS）, as well as extrapul- monary manifestations. Currently, there are no approved treatment regimens or vaccines for MERS. Here~ we generated recombinant nonvirulent Newcastle disease virus （NDV） LaSota strain expressing MERS-CoV S protein （designated as rLa- MERS-S）, and evaluated its immunogenicity in mice and Bactrian camels. The results revealed that rLa-MERS-S showed similar growth properties to those of LaSota in embryonated chicken eggs, while animal immunization studies showed that rLa-MERS-S induced MERS-CoV neutralizing antibodies in mice and camels. Our findings suggest that recombinant rLa- MERS-S may be a potential MERS-CoV veterinary vaccine candidate for camels and other animals affected by MERS.
As a new class of porous, crystalline, molecular materials, metal–organic frameworks (MOFs) have shown great promise as recyclable and reusable single-site solid catalysts. Periodic order and site ...isolation of the catalytic struts in MOFs facilitate the studies of their activities and reaction mechanisms. Herein we report the construction of two highly stable MOFs (1 and 2) using elongated dicarboxylate bridging ligands derived from Cp*Ir(L)Cl complexes (L = dibenzoate-substituted 2,2′-bipyridine, bpy-dc, or dibenzoate-substituted 2-phenylpyridine, ppy-dc) and Zr6O4(OH)4(carboxylate)12 cuboctahedral secondary building units (SBUs) and the elucidation of water oxidation pathways of the Cp*Ir(L)Cl catalysts using these MOFs. We carried out detailed kinetic studies of Ce4+-driven water oxidation reactions (WORs) catalyzed by the MOFs using UV–vis spectroscopy, phosphorescent oxygen detection, and gas chromatographic analysis. These results confirmed not only water oxidation activity of the MOFs but also indicated oxidative degradation of the Cp* rings during the WOR. The (bpy-dc)Ir(H2O)2XCl (X is likely a formate or acetate group) complex resulted from the oxidative degradation process was identified as a competent catalyst responsible for the water oxidation activity of 1. Further characterization of the MOFs recovered from WORs using X-ray photoelectron, diffuse-reflectance UV–vis absorption, luminescence, and infrared spectroscopies supported the identity of (bpy-dc)Ir(H2O)2XCl as an active water oxidation catalyst. Kinetics of MOF-catalyzed WORs were monitored by Ce4+ consumptions and fitted with a reaction–diffusion model, revealing an intricate relationship between reaction and diffusion rates. Our work underscores the opportunity in using MOFs as well-defined single-site solid catalytic systems to reveal mechanistic details that are difficult to obtain for their homogeneous counterparts.
Understanding the evolution mechanism of nuclear power technology development is crucial for predicting its future path and devising a sound strategic plan. While classical economic theory provides ...the relationships between of technological progress and economic growth on specific assumptions, it is necessary to explore the evolutionary mechanism of technology development without prior assumptions. Furthermore, given the various forms of technological development, including basic research, patent technology, and product trade, the intricate relationship between them and economic growth necessitates further elucidation. This study aims to shed light on the evolutionary process of nuclear power technology development by constructing complex systems of “Science-Technology-Product-Economic growth,” applying Bayesian dynamic system modeling methods to establish the evolutionary equation of the complex systems and revealing the historical track and future evolution of nuclear power technology development. This study offers a fresh perspective to unravel the evolution of nuclear power technology development, facilitates a nuanced characterization of energy technology progress, and assists in developing an optimized learning curve for energy technology.
Display omitted
•Applying Bayesian dynamic system modeling to reveal the historical evolution.•The changes in science and technology are influenced by economic growth.•The changes in the product are mainly influenced by itself.•The changes in economic growth are influenced by both itself and product.
Alzheimer’s disease (AD) is a most serious age-related neurodegenerative disorder accompanied with significant memory impairments in this world. Recently, microRNAs (miRNAs) have been reported to be ...invlolved in the pathophysiology of AD. Previous studies have shown that miRNA-206 (miR-206) is implicated in the pathogenesis of AD via suppressing the expression of brain-derived neurotrophic factor (BDNF) in the brain. Here, we examined the miR-206-3p and miR-206-5p expression in the hippocampus and cortex of Abeta precursor protein (APP)/presenilin-1 (PS1) transgenic mice treated with donepezil, a drug approved for treating AD in clinic. We found that the expression of miR-206-3p was significantly up-regulated in the hippocampus and cortex of APP/PS1 mice, while donepezil administration significantly reversed this dysfunction. In addition, enhancing the miR-206-3p level by the usage of AgomiR-206-3p significantly attenuated the anti-dementia effects of donepezil in APP/PS1 mice. Together, these results suggested that miR-206-3p is involved in the anti-dementia effects of donepezil, and could be a novel pharmacological target for treating AD.
Novel diagnostic and prognostic biomarkers of cancers are needed to improve precision medicine. Circular RNAs act as important regulators in cancers at the transcriptional and posttranscriptional ...levels. The circular RNA circMAN1A2 is highly expressed in nasopharyngeal carcinoma according to our previous RNA sequencing data; however, the expression and functions of circMAN1A2 in cancers are still obscure. Therefore, in this study, we evaluated the expression of circMAN1A2 in the sera of patients with nasopharyngeal carcinoma and other malignant tumors and analyzed its correlations with clinical features and diagnostic values. The expression levels of circMAN1A2 were detected by quantitative real‐time PCR, and the correlations of clinical features with circMAN1A2 expression were analyzed by χ2 tests. Receiver operating characteristic curves were used to evaluate the clinical applications of circMAN1A2. The results showed that circMAN1A2 was upregulated in nasopharyngeal carcinoma, oral cancer, thyroid cancer, ovarian cancer, and lung cancer, with areas under the curves of 0.911, 0.779, 0.734, 0.694, and 0.645, respectively, indicating the good diagnostic value of circMAN1A2. Overall, our findings suggested that circMAN1A2 could be a serum biomarker for malignant tumors, providing important insights into diagnostic approaches for malignant tumors. Further studies are needed to elucidate the mechanisms of circMAN1A2 in the pathogenesis of cancer.
We verified that circMAN1A2 was significantly upregulated in the sera of patients with NPC, oral cancer, thyroid cancer, ovarian cancer, and lung cancer and had good clinical diagnostic value. We speculate that circMAN1A2 could be a serum biomarker for malignant cancers and provide effective clues for the early diagnosis of malignant cancers.
PDF
