Fighting Arts on Today’s Coins, Medals and Badges: Popularity or Uniqueness

Background. Medallic art is used to promote the subject matter which is important for the issuer. Also fighting arts and martial traditions are used here as icons in the coins and medals. Problem. What is the purpose of occasional coins, medals or badges relative to their contents or symbolism, the metal used or the volume of the release? Does an issuer aim at promotion or rather at recognition and at maintaining the uniqueness? Material and Method. The study uses a regression method, comparative analysis and literature review. Approximately one hundred examples are discussed. Statistical analyses took into account N = 64 of contemporary coins (47) and medals (17), representing the relevant thematic groups. Pearson C coefficient was calculated for the factor of popularity FA and a number of variables. Results. It has been found that medals are issued in small volumes and are significantly varied in terms of the subject matter (uniqueness and originality). Some organisations seek to ensure the exceptional status of medal-type award which is granted based on strictly defined rules. Conclusions. Presentations of martial arts on coins, medals and badges make reference to the related symbolism or to the issuer’s national traditions. Large volume releases are mainly done for promotional purposes. On the other hand medals issued in small numbers are meant to be unique—they find their way to a select group of people deserving special recognition.

Cost Effectiveness of the Industrial Internet of Things Adoption in the U.S. Manufacturing SMEs

This research paper explores the financial adoption challenges of the Industrial Internet of Things (IIoT) in industry. Previous studies have mainly concentrated on designing affordable IIoT devices, reducing operational costs, and creating conceptual frameworks to assess the financial impact of IIoT adoption. The objective of this paper is to investigate whether IIoT adoption’s financial benefits outweigh the initial costs in small and medium-sized enterprises (SMEs). The data from the Industrial Assessment Centers (IAC) database were analyzed, focusing on 62 U.S. manufacturing SMEs across 10 states and 25 Standard Industrial Classifications (SICs), evaluating projected IIoT implementation costs and anticipated cost savings. Results from the analyses reveal that statistically, the difference between implementation costs and savings is significant at a 95% confidence level. Practically, this indicates that SMEs, despite facing high initial costs, can expect these investments to be counterbalanced by substantial savings. From an engineering perspective, this finding raises awareness among SMEs that, beyond overcoming financial barriers, IIoT technologies serve as a strategic enhancement to operational efficiency and competitive positioning. This study acknowledges the limitations including reliance on estimated projections and a narrow industry focus. Future research should broaden the sample and explore the lifecycle costs of IIoT.

Lifespan Development and Mental Health: Inaugural Introduction

Desperately Seeking Sustainable Human Well-Being: A Review of Indicators, Concepts, and Methods

Evaluating progress in human development and well-being is imperative for policymakers to assess the impact of their policies. Traditional measurement methods focus mostly on economic growth and socio-economic objectives, often neglecting vital components of the natural environment, particularly the ecological determinants essential for the sustainability of human well-being. The tension between sustainability and development becomes apparent as the recognition of the dependence of human well-being on the natural environment and ecosystem services is crucial for safeguarding the environment for present and future generations. This highlights the necessity for indicators that capture the intricate relationship between human well-being and environmental changes while addressing the challenges posed by the tension between sustainable practices and traditional development models. This paper presents a literature review examining the domains, dimensions, and indicators related to the sustainability of human well-being regarding economic, social, and natural environments. Emphasizing the multidimensional nature, this paper highlights the drawbacks of relying solely on socioeconomic indicators for assessment. The review explores diverse concepts and methodologies proposed to evaluate the components and multidimensional factors influencing the sustainability of human well-being. Ultimately it offers a holistic understanding serving as a foundation for further research and policy development.

Identity, Secondary Vocational Education Options and Return on Investment: Evidence from Children of Rural Chinese Families

With the continuous improvement of living standards, the importance of educational choice becomes more and more prominent. Based on the data of China General Social Survey (CGSS), a simultaneous equation model of identity, secondary vocational education choice and investment return is constructed. On the basis of fully considering endogeneity and sample selection bias, this paper analyzes the influence of identity on secondary vocational education choice and investment return by means of instrumental variables and propensity score matching (PSM). It is found that class differentiation is the main factor affecting class identity. The more blurred class differentiation, the higher class identity. Class identity has a significant positive impact on identity. The higher class identity, the easier it is to form identity. Identity has a direct positive impact on personal investment return. The stronger the identity, the higher the investment return. At the same time, identity has a significant positive impact on the choice of secondary vocational education. The stronger the identity, the more inclined to choose secondary vocational education. Compared with individuals with junior high school education, individuals with secondary vocational education have a higher return on education investment. Therefore, identity can not only directly improve an individual’s return on investment, but also improve the possibility of an individual’s choice of secondary vocational education, thereby improving an individual’s return on education investment, and ultimately increasing an individual’s return on investment.

The Asthma Risk Gene, GSDMB, Promotes Mitochondrial DNA-induced ISGs Expression

Released mitochondrial DNA (mtDNA) in cells activates cGAS-STING pathway, which induces expression of interferon-stimulated genes (ISGs) and thereby promotes inflammation, as frequently seen in asthmatic airways. However, whether the genetic determinant, Gasdermin B (GSDMB), the most replicated asthma risk gene, regulates this pathway remains unknown. We set out to determine whether and how GSDMB regulates mtDNA-activated cGAS-STING pathway and subsequent ISGs induction in human airway epithelial cells. Using qPCR, ELISA, native polyacrylamide gel electrophoresis, co-immunoprecipitation and immunofluorescence assays, we evaluated the regulation of GSDMB on cGAS-STING pathway in both BEAS-2B cells and primary normal human bronchial epithelial cells (nHBEs). mtDNA was extracted in plasma samples from human asthmatics and the correlation between mtDNA levels and eosinophil counts was analyzed. GSDMB is significantly associated with RANTES expression in asthmatic nasal epithelial brushing samples from the Genes-environments and Admixture in Latino Americans (GALA) II study. Over-expression of GSDMB promotes DNA-induced IFN and ISGs expression in bronchial epithelial BEAS-2B cells and nHBEs. Conversely, knockout of GSDMB led to weakened induction of interferon (IFNs) and ISGs in BEAS-2B cells. Mechanistically, GSDMB interacts with the C-terminus of STING, promoting the translocalization of STING to Golgi, leading to the phosphorylation of IRF3 and induction of IFNs and ISGs. mtDNA copy number in serum from asthmatics was significantly correlated with blood eosinophil counts especially in male subjects. GSDMB promotes the activation of mtDNA and poly (dA:dT)-induced activation of cGAS-STING pathway in airway epithelial cells, leading to enhanced induction of ISGs.

Glutamine Metabolism Is Required for Alveolar Macrophage Proliferation

Alveolar macrophages (AMs) are critical for normal lung homeostasis, surfactant metabolism, and host defense against various respiratory pathogens. Despite being terminally differentiated cells, AMs are able to proliferate and self-renew to maintain their compartment without the input of the hematopoietic system in the adulthood during homeostasis. However, the molecular and metabolic mechanisms modulating AM proliferative responses are still incompletely understood. Here we have investigated the metabolic regulation of AM proliferation and self-renewal. Inhibition of glucose uptake or fatty acid oxidation did not significantly impact AM proliferation. Rather, inhibition of the glutamine uptake and/or glutaminase activity impaired AM mitochondrial respiration and cellular proliferation in vitro and in vivo in response to growth factor stimulation. Furthermore, mice with a genetic deletion of glutaminase in macrophages showed decreased proliferation. Our data indicate that glutamine is a critical substrate for fueling mitochondrial metabolism that is required for AM proliferation. Overall, our study is expected to shed light on the AM maintenance and repopulation by glutamine during homeostasis and following acute respiratory viral infection.

Digital Twins Enabling Intelligent Manufacturing: From Methodology to Application

Digital twin technology develops virtual models of objects digitally, simulating their real-world behavior based on data. It aims to reduce product development cycles and costs through feedback between the virtual and real worlds, data fusion analysis, and iterative decision-making optimization. Traditional manufacturing processes often face challenges such as poor real-time monitoring and interaction during machining, difficulties in diagnosing equipment failures, and significant errors in machining. Digital twin technology offers a powerful solution to these issues. Initially, a comprehensive review of the research literature was conducted to assess the current research scope and trends. This was followed by an explanation of the basic concepts of digital twins and the technical pathway for integrating digital twins into intelligent manufacturing including outlining the essential technologies for creating a system of interaction between the virtual and real worlds, enabling multimodel fusion, data sensing, algorithm-based prediction, and intelligent decision-making. Moreover, the application of digital twins in intelligent manufacturing throughout the product life cycle was detailed, covering product design, manufacturing, and service stages. Specifically, in the manufacturing phase, a model based on heat conduction theory and visualization was used to construct a time-varying error model for the motion axis, leading to experiments predicting the time-varying error in the hole spacing of a workpiece. These experiments achieved a minimum prediction error of only 0.2 μm compared to the actual error. By compensating for time-varying errors in real time, the variability in the hole spacing error decreased by 69.19%. This paper concludes by summarizing the current state of digital twins in intelligent manufacturing and projecting future trends in key technologies, application areas, and data use, providing a basis for further research.

Research Progress on Electrolyte Additives for Sodium Ion Batteries

In view of the gradual depletion of lithium resources, sodium-ion batteries (SIBs) have emerged as a viable alternative to lithium-ion batteries (LIBs). This is primarily attributed to their comparable operational principles and abundant reserves of sodium resources. As an essential component of the secondary battery, the electrolyte is of paramount importance in the functioning of SIBs, and the electrode-electrolyte interface constructed by it affects the battery performance. Adding electrolyte additives in LIBs is a low-cost and efficient method that can enhance the performance of the electrolyte and the interface between the electrode and electrolyte. This method is also applicable to SIBs. Therefore, in this study, we provide a comprehensive overview of various electrolyte additives, including but not limited to carbonate additives, sulfur-containing additives, silicon-containing additives, phosphorus-containing additives and inorganic additives. We extensively analyze the impact of these additives on the electrode-electrolyte interface and the electrochemical performance of SIBs. The purpose of this review is to comprehensively evaluate the current status of electrolyte additives in SIBs, which serves as both a basic overview of the existing situation and a practical guide for selecting suitable additives for practical applications of SIBs.

Proteomic Analysis of Pleurotus ostreatus Grown on Glucose and Xylose Mixtures in Submerged Fermentation Provides Insights into Differentiated Mycelial Composition

Pleurotus ostreatus, an edible white-rot fungus of great commercial and nutritional value, grows by metabolizing mainly glucose and xylose, the two major sugars in lignocellulosic biomass. In this study, a comparative proteomic analysis of P. ostreatus grown in submerged fermentation on a medium with glucose, xylose and mixtures of them as carbon sources was conducted. In the same conditions, the metabolic response of the fungus was evaluated in the production of the main nutritional components of the fungus such as proteins, lipids, and intracellular and extracellular polysaccharides. The proteomic analysis revealed that glucose and xylose upregulate different clusters of proteins. Glucose mainly up-regulates macromolecule metabolic processes, translation and glycolysis whereas xylose up-regulates, small molecule metabolic processes and tricarboxylic acid cycle (TCA). The mixtures show mostly similarities with the proteome response to glucose, although there are differential responses depending on xylose concentration. The carbon source type found to affect the basic macromolecule metabolic processes, with amino acids biosynthesis to differentiate mostly. An analysis of the upregulated proteins through the STRING database revealed that xylose upregulates mostly proteins related to amino acid biosynthesis. Leucine, Valine and Isoleucine biosynthesis pathways were found to be the most triggered pathway. All the branched-chain amino acids (BCAAs)-related enzymes intensities were gradually increased when xylose concentration was increased in the growth medium. BCAAs play an important role in the human diet so the enhancement of BCAAs biosynthesis pathway for P. ostreatus could convert it to a very remarkable protein substitute in human diet. These findings provide new insights into the proteomic and metabolic response of the fungus to the major sugars of lignocellulosic biomass, which are not well understood until now.