Industrial Development Research Articles

The OfMYB1R114-OfSDIR1-like-OfCCD4 module regulates β-ionone synthesis in Osmanthus fragrans

Osmanthus fragrans have a unique aroma, its extracts and its constituents have a wide range of biological activities, making them of great industrial value. β-ionone is a crucial factor in determining the aroma quality of O. fragrans. The synthesis mechanism of β-ionone is essential for studying the aromatic compounds in O. fragrans. This study demonstrated that the OfMYB1R114-OfSDIR1-like-OfCCD4 module regulates β-ionone synthesis in O. fragrans. A MYB-related transcription factor OfMYB1R114 increased β-ionone aroma substance and elevated OfCCD4 expression level through binding to the OfCCD4 promoter and activating its expression; this demonstrated a positive loop in β-ionone synthesis. Screening for interacting proteins using a cDNA library of O. fragrans petals, the interaction pair between OfMYB1R114 and OfSDIR1-like was validated. In addition, OfSDIR1-like negatively regulated β-ionone synthesis by ubiquitinating the OfMYB1R114 protein and decreasing the ability of OfMYB1R114 to activate its downstream target gene OfCCD4. Interestingly, OfMYB1R114 could directly bind to the OfSDIR1-like promoter and repress its transcription, revealing a negative feedback loop between OfMYB1R114 and OfSDIR1-like. Hence, this suggests that OfSDIR1-like is a new novel regulator that functions in β-ionone synthesis via the OfMYB1R114-mediated aroma pathway. The mechanistic framework revealed by the studies is that the OfMYB1R114-mediated module OfMYB1R114-OfSDIR1-like-OfCCD4 regulates β-ionone synthesis. It sheds light on the molecular mechanisms at the basis of aroma synthesis in O. fragrans and provides theoretical basis and technical guidance for the comprehensive utilisation and industrial development of O. fragrans aroma substance.

Wolverine population density and home range size in Arctic Alaska

AbstractUnderstanding the spatial requirements of exploited wildlife species, including population density and home range size, is important for wildlife management and conservation. Wolverines (Gulo gulo) are hunted and trapped across the Arctic, and are vulnerable to numerous, often interrelated, threats resulting from anthropogenic changes in their environment. Previous population density estimates for wolverines in the Arctic range tenfold, from the lowest to highest available for the species, limiting their utility outside the specific areas and times they were derived. The most recent density estimate in Arctic Alaska, USA, was produced 4 decades ago and was derived from a relatively small study area. We evaluated wolverine population density and home range size across the North Slope of Alaska during 2017–2022 using global positioning system (GPS)‐based collar data and spatial capture‐recapture models. Population density estimates were 2.0 individuals/1,000 km2 (95% credible interval = 1.3–3.5) in 2018 and 2.8 individuals/1,000 km2 (95% credible interval = 1.7–3.5) in 2021. Median home range sizes modeled with autocorrelated kernel density estimators and Ornstein‐Uhlenbeck foraging movement processes were 699 km2 (range = 158–2,895 km2) among 12 females and 2,332 km2 (range = 797–4,699 km2) among 10 males. These population density estimates are nearly 10 times lower than the previous estimate for Arctic Alaska. We recommend incorporating this information into management strategies to ensure sustainable harvest, particularly as the region's remote areas are more efficiently accessed by hunters and are being considered for transportation corridors supporting new industrial development.

Industrial Park low-carbon energy system planning framework: Heat pump based energy conjugation between industry and buildings

The accelerating urbanization, rapid industrial development, and excessive consumption of fossil fuels pose survival challenges such as energy depletion and environmental degradation for humanity. In the context of industrial park development, constructing a low-carbon energy system, increasing the proportion of renewable energy, enhancing energy-level matching, and utilizing heat pumps for deep waste heat recovery are effective approaches to reduce fossil energy consumption and alleviate environmental pressures. Addressing issues such as diverse thermal flows in industrial sites, complex electricity-heat-cooling energy demands, and unclear industrial-building energy coupling mechanisms, this paper proposes a two-stage planning framework, comprising the following five steps: (1) constructing a waste heat utilization system centered around heat pumps, (2) establishing a mechanism for matching heat sources, equipment, and thermal sinks, (3) establishing an energy conversion model and energy quality quantification system, (4) optimizing waste heat utilization path allocation, and (5) conducting a system energy flow analysis. Case studies demonstrate that the proposed system achieves optimized matching of multiple heat sources and sinks in industrial and building scenarios through thermal integration, meeting diverse energy demands in the park, including electricity, cooling, and multi-grade heat. After coupling with traditional steam pipeline networks, the annual total cost and annual steam power consumption decrease by 33% and 39% respectively, with a waste heat contribution rate of up to 26% and a renewable energy penetration rate of up to 25%, and a waste heat recovery system payback period of 6 years. By establishing an energy quality quantification system and conducting multi-objective optimization considering losses and economic costs, this paper provides Pareto frontier solutions, offering references for engineering proposals. The proposed networked waste heat recovery system is characterized by low energy consumption and high economic efficiency, effectively integrating the energy characteristics of industrial parks and demonstrating engineering applicability.

Unveiling the Spatio-Temporal Dynamics and Driving Mechanism of Rural Industrial Integration Development: A Case of Chengdu–Chongqing Economic Circle, China

China’s urban–rural dichotomy has resulted in a widening gap between urban and rural areas, posing significant challenges to rural development. This study aims to investigate the spatio-temporal differentiation and driving mechanisms of rural industry integration within the Chengdu–Chongqing Economic Circle in China. Using panel data from 2011 to 2020, we employed the entropy weight TOPSIS method to construct a comprehensive index that charts the evolution of rural industry integration across various districts and counties. Additionally, we utilized fixed-effect and spatio-temporally weighted regression models to analyze the underlying driving forces behind this integration. Our findings reveal a dynamic and varied landscape of rural industry integration, with different levels of depth and breadth across various subsystems. Spatially, we observed a transition from a dispersed to a more concentrated agglomeration pattern within the Chengdu–Chongqing Economic Circle. This shift suggests a diffusion effect emanating from core metropolitan areas, as well as an attracting force exerted by adjacent metropolitan circles. In terms of drivers, market demand, openness level, financial development, policy support, and agricultural insurance breadth significantly contribute to rural industry integration. However, technological progress and rural human capital exhibit a weaker correlation. Notably, our models identified pronounced spatial–temporal heterogeneity among these influencing factors, highlighting a nuanced and dynamic relationship between them. Overall, our study emphasizes the crucial role of rural industry integration in bridging the urban–rural divide and fostering sustainable agricultural development and rural revitalization. The insights gained from this research provide valuable guidance for policymakers and stakeholders seeking to optimize rural development strategies and unlock the potential of integrated rural industries.

Laboratories: A New Open Access Journal

The modernization of society goes hand in hand with agricultural, industrial, and economic development, with this development becoming increasingly complex due to the large number of activities being carried out and the diversification of products generated by society [...]

A virtual measurement method for evaluating the gear radial composite deviation based on point cloud data

Radial composite deviation is an important index to evaluate the precision of gear transmission, and its detection method is also an important trend of gear detection in industrial development. The ability to predict radial composite deviation while obtaining geometric deviation of gears is a key challenge in advancing intelligent online inspection within gear manufacturing workshops. This study presents a virtual measurement method for determining gear radial composite deviation using point cloud data. The method involves using an optical three-dimensional scanner to capture tooth surface cloud data, determining tooth profile deviation, and applying reverse engineering technology to reconstruct the gear model, the variation curve of gear center distance is determined by simulating, allowing for the calculation of the total radial composite deviation and tooth-to-tooth radial composite deviation. In comparison to actual measurement, the virtual measurement method is generally reliable. It can effectively illustrate the overall trend of center distance variation and has good interpretability for predicting radial composite deviation results. This method reduces the dependence on the specialized gear measuring instrument and addresses the critical issue of simultaneously obtaining tooth profile deviation and radial composite deviation.

Chitosan/polyvinyl acetate/manganese ferrite as a eco-friendly adsorbent for separation of methyl orange dye from aqueous solution

This study presents a novel approach in the field of wastewater treatment, focusing on the development of an eco-friendly magnetic adsorbent, CS/PVAc/MnFe2O4, for the efficient removal of methyl orange (MO) from aqueous solutions. The combination of chitosan, polyvinyl acetate, and manganese ferrite demonstrated a remarkable MO removal efficiency of 96.7% in just 75 min at a pH = 3, utilizing only 0.03 g of adsorbent and 50 mg/L of MO. The material was thoroughly characterized using FT-IR, XRD, SEM, and VSM techniques, confirming its effectiveness. The study successfully applied the Langmuir isotherm and pseudo-second-order kinetics models to describe the adsorption isotherms and kinetics, revealing a maximum adsorption capacity of 80.58 mg/g. The findings underscore the potential of CS/PVAc/MnFe2O4 as a cost-effective and efficient solution for wastewater treatment, particularly in the removal of organic contaminants. This research contributes to the advancement of adsorbent materials and recommends further exploration for industrial applications and development.

Laplacian regularization of linear regression model for semi-supervised industrial soft sensor development

With more and more data collected from modern industrial processes, data-based soft sensor modeling methods have become popular for online prediction of those difficult-to-measure key variables. As one of the most widely used methods, the linear regression model has been studied for many years. In this paper, a new semi-supervised form of data-based soft sensor is developed upon this simple but commonly used linear regression model, in order to make it more engineering applicable. Particularly, a semi-supervised model structure is formulated by introducing a Laplacian regularization term, through which a lot more unlabeled data samples can be well incorporated for modeling. With an improved estimation for the input data distribution, the real data features can be better captured and thus the model parameters are well restricted, in order to provide a better performance. In addition, the basic Laplacian regularized linear regression model is further extended to nonlinear counterparts by the introductions of basis function and kernel trick in the input data space. For performance evaluation, two industrial case studies are provided, based on which both feasibility and effectiveness of the developed method are confirmed.

Future Challenges of Implementing Innovative Business Model in the Automotive Industry

Abstract The innovative business model is implemented today in all industries. In the automotive industry, this model appears as a valid source of guidance in smart manufacturing, but also in the sales process, throughout the functional lifetime of a car. Using digital business processes opens new opportunities for innovation, from simple automation implementations to a fully automated assembly of a production line or a digitized sales flow. Specific objectives of this paper are based on the research of specialized literature regarding the implementation of business processes and the preparation of the environment for Industrial Revolution 6.0, by integrating innovations with major implementation challenges in the business model. The purpose of this study is to identify if there is research on innovative business models or innovative processes in specialized literature. Research questions are related to the terms associated with innovation such as an innovative business model, industrial revolutions, digital ecosystems, smart factories, or digital business processes. The research was carried out with the help of bibliometric analysis of scientific articles in Web of Science. Articles were analyzed in the VOSviewer application by identifying several clusters on key concepts. Innovative business studies in the automotive industry is a model that led to the creation of links maps between articles on the same topic, keywords, authors, in the last five years. Connections between the concepts and processes used to implement the innovative business model, in different stages of the industrial revolution development are highlighted in this research.

Analysis of community preferences for industrial forest plantation development in Sumbawa district

Analysis of community preferences for industrial forest plantation development in Sumbawa district

A Novel Bidirectional Long Short-Term Memory Network With Weighted Attention Mechanism for Industrial Soft Sensor Development

A Novel Bidirectional Long Short-Term Memory Network With Weighted Attention Mechanism for Industrial Soft Sensor Development

Sistem Ekonomi Pancasila, Keadilan Sosial, dan Neoliberalisme Global

This paper explores the paradigm shifts in global economic policy over the last two decades, mainly focusing on the rise of neoliberalism and its effects on economic disparities. Neoliberal policies, which prioritize market mechanisms as central to economic governance, are critiqued for exacerbating income inequality and diverging from the principles of social justice foundational to Indonesia's constitution and Pancasila ideology. In contrast, the Sistem Ekonomi Pancasila (SEP) offers a framework that emphasizes social justice, equitable wealth distribution, and the welfare of all Indonesians, aligning economic activities with the nation's ideological foundations. The SEP challenges the neoliberal assumption that labor market flexibility is the sole solution to unemployment, instead highlighting the roles of industrial and regional development in addressing structural unemployment. Furthermore, the paper critiques the focus of monetary policy solely on price stability, advocating for a broader approach that integrates macroeconomic stability with social welfare. Incorporating the principles of Pancasila into economic policies is crucial for achieving an equitable economic democracy, where the government balances market interests with its priority for social welfare. The paper concludes with a proposal for the drafting of a Pancasila Economic System Act to institutionalize these principles into Indonesia's economic governance, ensuring that economic policies promote not only growth but also fairness and social justice for all Indonesians.

Effect of Agglomeration of Producer Services on Asynchronous Development of Industrialization and Urbanization: Provincial Panel Data of China

Effect of Agglomeration of Producer Services on Asynchronous Development of Industrialization and Urbanization: Provincial Panel Data of China

OPTIMIZATION OF THE PREVENTION OF DENTAL DISEASES IN MECHANICAL ENGINEERING WORKERS

In the process of intensive industrial development, the study of the role of harmful and health-related factors of the production environment is timely and very important. After all, unfavorable working conditions contribute to the formation of various pathological processes in the human body (Amirov N.H., 2016). The long-term influence of a complex of production factors simultaneously with the deterioration of the health of workers, as a rule, can lead to pathological changes in the mucous membrane of the oral cavity, periodontal diseases, hard tissues of teeth (Galiullin A.N., 2014).

СОЦИАЛЬНАЯ ГАЗИФИКАЦИЯ ПОМОГАЕТ ПРЕОДОЛЕВАТЬ ТРУДНЫЕ ВРЕМЕНА ТОПЛИВНО-ЭНЕРГЕТИЧЕСКОГО КОМПЛЕКСА СТРАНЫ

The material of the proposed article seems to the authors to be extremely relevant in connection with the 12 packages adopted by the Western community against Russia, containing more than 17 thousand of all kinds of sanctions and restrictions, including in relation to the export of hydrocarbons. This circumstance has put the domestic economy in an extremely difficult situation, especially in the context of the restoration of the country's national economy. Reorientation of the oil and gas industry to the East, to the countries of Greater Eurasia, year-round transport and industrial development of the Northern Sea Route and the Arctic zone of Russia will not only overcome the problems and difficulties that have arisen, but also strengthen political and economic ties with the states of the Silk Road and the Organization of the Collective Security Treaty (CSTO). The purpose of the study is a comprehensive economic assessment of the implementation of state regional development programs based on the use of hydrocarbon raw materials, including the social gasification/additional gasification program in the constituent entities of the Federation, to which the President paid special attention in his Address to the Federal Assembly 2024. A separate task is to forecast industrial production based on processing of hydrocarbon raw materials at various stages of technological conversion into lines of consumer goods and into products intended for export. The research results obtained so far by the authors of the article boil down to a review of information sources on the identified problems, an analysis of individual issues of the dynamics of production, export supplies, transportation and pricing of domestic hydrocarbon raw materials,and to determining the success of the implementation of the gasification program in individual regions of the Federation. The conceptual approaches involved were discussed. The article concludes with three conclusions.

Practical Implementation of Gerontechnology Smart Products: Product Suitability Assessment

Because of the critical importance to national healthcare of developing and applying smart technologies to address the needs of Taiwan's rapidly aging society, "gerontechnology" is an industry sector that must be promoted to achieve related policy goals. The scope of technologies involved in gerontechnology is broad, with the application of smart technology often the focus of industrial development. The most crucial feature of gerontechnology-related "smart" products is the collection, analysis, and feedback of target data in the application process necessary to facilitate the provision of "precision" aged care. The application of smart technology to meet the rapidly increasing life and care needs of older adults in aging societies is increasingly valued worldwide. However, the practical implementation of smart technology in aged care is still not widespread, and thus represents an urgent problem to be solved. There are many aspects to consider in the practical application of gerontechnology, among which caregivers are the key to practical application, with product suitability being the first concern of caregivers. In this article, a process is proposed to allow caregivers to assess the suitability of gerontechnology smart products in terms of "data sensing and transmission," "indicator identification and analysis," "event prediction and feedback," and "intervention measures." Based on the World Health Organization's concept of implementing research in healthcare, decision-making evaluation indicators for product selection and a product suitability questionnaire for institutional care are proposed with the goal of providing a practical tool for care institutions to assess the suitability of gerontechnology smart products.

Enhancing competitiveness in the Indonesian meat processing industry: a literature review

Abstract Ensuring access to nutritious food and maintaining high standards in food supply is essential for the expanding population of Indonesia, as outlined in Law No. 18 of 2012. Within the framework of the National Industrial Development Master Plan (RIPIN) for the years 2015–2035, the meat processing industry plays a pivotal role. The surge in income levels, changes in dietary habits, and the growth of modern retail outlets have increased the demand for processed meat products in the country. However, the industry faces obstacles such as low levels of meat intake and a heavy dependence on imported raw materials, highlighting the need for a well-rounded strategy to boost competitiveness, encourage consumption, and tackle nutritional issues. This literature review delves into the Indonesian meat processing industry’s competitiveness, addressing the need for strategic enhancements to meet domestic and global demands. It identifies key challenges, including the reliance on imported raw materials and limited export market expansion. Through a comprehensive literature review, it explores strategic frameworks and innovative approaches, emphasizing the Industrial Competitiveness Index (ICI), SWOT analysis, and the Analytic Hierarchy Process (AHP) for strategic decision-making. Recommendations include investment in technology and innovation, enhancing supply chain sustainability, market diversification, skill development, and regulatory support. The paper concludes that a multifaceted strategy integrating these elements can significantly boost Indonesia’s meat processing industry’s competitiveness and sustainability.

Assessment of the Link between CO2 $emissions and Socio-Economic Indicators

Abstract This article examines the intricate relationships between carbon dioxide (CO2) emissions and key socio-economic indicators across various sectors. Utilizing different statistic methods, we scrutinize the interdependencies between air emissions and indicators such as Gross Domestic Product (GDP), education, life expectancy, pesticide use, recycling rates, agricultural production, net income, and tourism. Our analysis reveals a complex panorama where economic growth, indicated by GDP, agricultural output, and tourism, exhibits a strong positive correlation with CO2 emissions, suggesting that economic activity is a significant driver of environmental impact. Intriguingly, life expectancy also correlates positively with emissions, potentially reflecting the dual facets of industrial development, which, while boosting living standards and healthcare, concurrently increases environmental burdens. Conversely, educational attainment shows a negligible correlation, hinting at the potential for decoupling intellectual capital from carbon output. Through a robust statistical approach, this study underscores the multifaceted linkages between emissions and socio-economic health, highlighting areas for policy intervention and sustainable development strategies to balance economic advancement with environmental stewardship.

Investment Climate and Role of Technological Industrial Development Zones in Direct Foreign Investment Inflow in North Macedonia

This article investigates the establishment of Technological Industrial Development Zones (TIDZ) in North Macedonia. These zones are aimed at attracting Foreign Direct Investment (FDI) and represent an innovative strategy to promote business relations that were previously unavailable in North Macedonia. If their output is sold to international markets, companies operating within the TIDZ benefit from incentives and subsidies. In addition to the legally announced incentives available to investors within the TIDZ, the government offers extra incentives on a case-by-case basis, in agreements with significant overseas partners. Since the introduction of this approach, the government has made a public display of its benefits. The consequences of the implemented strategy for FDI attraction deserves an effort for its analysis by all available means. Using the available data and sources from relevant documents, the focus in the paper will be put on the impact of the creation of such zones on the FDI inflow. North Macedonia is an attractive investment destination for international investors because of the fiscal, economic, and financial benefits provided by the actual law, as well as the excellent business climate, as measured by the ‘Doing Business’ indicator.

Cultural landscape design and protection of Lifang Village, Shuangbai County, Yunnan, China, in the context of rural revitalization

Rural landscapes serve as crucial foundations for enhancing the quality of the human environment, showcasing local regional culture, and fostering local industrial development, thus representing the cornerstone of rural economic and social advancement. Against the backdrop of national efforts to implement rural revitalization strategies, traditional cultural landscapes continue to face varying degrees of degradation and disappearance. Tourism has emerged as a popular strategy for promoting the development of traditional villages in developing countries. Moreover, the high-quality development of the cultural and tourism industry in Chinese ethnic minority villages holds immense significance in advancing local economies, cultures, societies, and environmental protection, serving as a potent means to realize the rural revitalization strategy. This article delves into the cultural landscape of Lifang Village in Shuangbai County, Yunnan province, China. Anchored in a comprehensive understanding of Lifang Village’s political, economic, cultural, social, and ecological contexts, it aims to enhance the humanistic, ecological, industrial, residential, and infrastructural landscapes of the village. The objective is to develop Lifang Village into an integrated complex that seamlessly merges ecology, culture, and landscape, thereby crafting a Yi village distinguished by its local regional characteristics. Through meticulous analysis and synthesis of the local cultural, social, and ecological environment, the article seeks to extract and integrate elements of local distinctiveness, thematic culture, traditional heritage, and classic cultural facets. Ultimately, the aim is to cultivate a sense of identity and belonging within Lifang Village, bolstering villagers’ well-being and contributing to the preservation and inheritance of the exceptional traditional culture of ethnic minorities.