Industrial Progress Research Articles

Linkages between industry, agriculture, growth, renewable energy and the environment and the role of institutional quality, evidence from selected South and East Asian economies

This study aims to reveal the influence of industrial progress and agricultural value addition on environmental harm and explores how the unique moderating role of institutional quality handles this association; using the panel ARDL approach on a panel of South and East Asian economies from 1980 to 2020. The baseline model proposes that for each 1% increase in agricultural added value and industrial progress, carbon dioxide emissions may fluctuate considerably positively by 0.563% and 0.758% respectively. In the long term, the plausibility of the upturned U-shaped association between economic growth and carbon dioxide emissions in South and East Asian economies has been confirmed in the analysis. The use of renewable energy considerably condenses long-term emission levels. Institutional quality is found to have a strong moderating effect on the link between the main model regressors (renewable energy use, industrial growth, GDP per capita, and agricultural value addition) and CO2 emissions. Institutional quality supports the enhancement of industrial and agricultural capabilities and the improvement of environmental worth. Finally, the threshold results indicate that the influence of the main regression variables of the model (renewable energy utilization, industrial growth, per capita GDP, and agricultural added value) on carbon dioxide emissions has fully penetrated the institutional quality level. Strong, high-quality institutions, rather than weak institutions, can improve the aptitude of industry and agriculture to mitigate environmental degradation. In this pursuit, it becomes increasingly important to develop policies that support renewable energy based on institutional values.

Preface

With the rapid development of science and technology, computer, remote sensing technology and aerospace science have increasingly become the focus of attention of academia and industry. Since the first International Conference on Computer, Remote Sensing and Aerospace (CRSA) was held, the conference has become an important platform for scholars in related fields to exchange ideas and share results. The 2024 4th International Conference on Computer, Remote Sensing and Aerospace (CRSA 2024) continues the high-level academic tradition of the previous three conferences, and was held virtually in Osaka, Japan from July 5th to 7th, 2024. The conference aimed to promote the cross-fertilization between computer science, remote sensing technology and aerospace science, to promote technological innovation and industrial upgrading, and to contribute wisdom and strength to the global scientific and technological development. It called for papers on such topics as High-Performance Computing, Computer Aided Design, Robotics and Automation, Geographic Information Science, Satellite Navigation and Positioning, Optical Remote Sensing, Aeroelasticity and Structural Dynamics, Manned / Unmanned Aviation, etc. The conference attracted the active participation of experts, scholars, engineers and industrial elites from all over the world, and the latest research results and technological advances in relevant field were demonstrated through thematic reports, oral and poster presentations. The thematic speeches covered the problems, challenges, solutions, and future research directions of computer science, remote sensing technology and aerospace science, and provided participants with comprehensive and in-depth understanding and insight, stimulating thinking and innovation. Scholars who participated in oral and poster presentations had in-depth exchanges with other participants, sharing experiences and insights, and jointly exploring cutting-edge issues in relevant disciplines and domains. In addition, we have carefully selected and prepared a collection of Proceedings based on this conference, which represents a bunch of excellent papers, covering the latest research achievements and innovative ideas in related fields. We hope that this Proceedings will be an important reference for the academic community, providing researchers with opportunities for in-depth research, and will also inject new vitality and impetus into the development and innovation in the fields of and related to computer science, remote sensing technology and aerospace science. At the same time, we also hope that scholar and researchers will continue to uphold the spirit of science and the courage to explore unknown areas, contributing to the prosperity and progress of mankind. Finally, we would like to express our sincere thanks to all for their support and participation in the conference. We believe that through the exchange and cooperation of this conference, we will jointly create a new future in the fields of computer science, remote sensing technology and aerospace science. We also believe that the publication of this Proceedings will make a positive contribution to the development of the academic community and the progress of aerospace industry! The Committee of CRSA 2024 List of Committee Member is available in this Pdf.

Research on Bank Data Governance Organization Architecture Planning

Banking service capacity building is a critically essential area of study and research because banks, as vital components of the financial system, are key drivers of economic development and industrial progress. In light of the continuous improvement of financial innovation and scientific and technological knowledge, bank data information regarding the current state of the commercial banking industry displays a geometric multiple growth pattern. The complex state of bank data is also brought about by these data, which serve as a reference for bank architecture and planning. Because of this, efficient data management is required to fully reap the benefits of data. In short, the bank's data governance work will further enhance the bank's service capabilities and achieve its comprehensive value improvement.

Therapeutic targeting of senescent cells in the CNS.

Senescent cells accumulate throughout the body with advanced age, diseases and chronic conditions. They negatively impact health and function of multiple systems, including the central nervous system (CNS). Therapies that target senescent cells, broadly referred to as senotherapeutics, recently emerged as potentially important treatment strategies for the CNS. Promising therapeutic approaches involve clearing senescent cells by disarming their pro-survival pathways with 'senolytics'; or dampening their toxic senescence-associated secretory phenotype (SASP) using 'senomorphics'. Following the pioneering discovery of first-generation senolytics dasatinib and quercetin, dozens of additional therapies have been identified, and several promising targets are under investigation. Although potentially transformative, senotherapies are still in early stages and require thorough testing to ensure reliable target engagement, specificity, safety and efficacy. The limited brain penetrance and potential toxic side effects of CNS-acting senotherapeutics pose challenges for drug development and translation to the clinic. This Review assesses the potential impact of senotherapeutics for neurological conditions by summarizing preclinical evidence, innovative methods for target and biomarker identification, academic and industry drug development pipelines and progress in clinical trials.

Modern Design Methods and Industry-Academia Collaboration

In the field of modern design, the continuous evolution and innovation of design methods are of significant importance to the competitiveness and innovative capacity of enterprises. At the same time, industry-academia collaboration, as a bridge connecting academia and industry, can effectively promote the development of design education and industrial progress. This paper explores the concepts and applications of modern design methods, analyzes the current status, challenges, and successful cases of industry-academia collaboration, and proposes practical applications and future development directions for modern design methods in such collaborations. The study shows that effective industry-academia collaboration can further enhance the application of modern design methods, foster the cultivation of innovative talents, and promote sustainable industrial development.

Proposal and parametric investigations of square steel tubes as post-tensioned connectors for linear-shaped precast concrete elements

Given the pivotal role of connections in the progress of the precast building industry, issues such as costs, chain collapse, and low robustness in all degrees of freedom are critical considerations. This study draws inspiration from Concrete Filled Steel Tube Elements to design and investigate using simple steel tubes as joints for precast linear-shaped elements. The study proposes and examines uncomplicated joints where two precast reinforced concrete beams are positioned within the tube. The encompassment of the beams by the tube, combined with the application of post-tensioning forces, creates a sturdy integrity between the beams, resembling a head-to-head joint. Through 48 experimental tests, various connection parameters such as beam and tube cross-section height, re-bar quantity, tube thickness, and length were systematically investigated. The experimental setup utilized a three-point bending-shear testing configuration, and the results were compared with monolithic references. The findings demonstrate that these adaptive and ductile connections rapidly exhibit a capacity similar to that of monolithic exact beams. All studied parameters exhibited their influences on the capacity of the connection; however, the primary determinant is the length of the tube. Within the discussed range, the tube length should be at least twice as long as the height of the beam. Failing to meet this criterion would prevent the complete manifestation of the desired failure mechanism.

Research on the impact of regional innovation capability on high-quality economic development in Anhui Province

This study aims to explore the impact mechanism of regional innovation capabilities on high-quality economic development in Anhui Province. By systematically sorting out relevant theoretical and empirical research at home and abroad, the main problems faced by Anhui Province in improving regional innovation capabilities are analyzed, and corresponding countermeasures and suggestions are put forward. The research uses multiple methods such as literature review, statistical analysis and case analysis to comprehensively evaluate Anhui Province's innovation capabilities and economic development status. The results show that Anhui Province has made significant progress in the field of scientific and technological innovation, but it still faces challenges such as poor economic structure, uneven regional development, and talent shortage. The study found that innovation capabilities play a key role in promoting high-quality economic development in Anhui Province, and significantly improve the quality of economic growth by promoting industrial structure optimization, technological progress and production efficiency improvement. Based on this, this study puts forward specific suggestions such as strengthening government policy support, increasing investment in scientific research, optimizing the innovation environment, and promoting industry-university-research cooperation to further enhance Anhui Province's regional innovation capabilities and promote high-quality economic development. The research conclusions not only have important practical significance for Anhui Province, but also provide useful reference for other regions.

Research on the Rapid Development of China's Industrial Economy and Its Enlightenment to Vietnam

In recent years, facing profound adjustments in the global economy, China has clearly formulated and implemented strategies for the development of its industrial economy. These strategies include strengthening infrastructure, enhancing workforce quality, and expanding both domestic and international markets, effectively spurring rapid growth in the industrial sector. Despite significant achievements, China's industrial sector still faces challenges such as environmental pollution, limited innovative capacity in key technological areas, insufficient investment in basic research, and inadequate development of international markets. Drawing from China's experiences, it is suggested that Vietnam adopt similar strategies to modernize and internationalize its own industrial economy. This approach could accelerate Vietnam's industrial progress and boost its global competitiveness. However, Vietnam should adapt these strategies to its own unique context, emphasizing innovation-driven growth, high-value industries, and digital infrastructure development. By balancing state-driven industrial growth with private sector innovation, Vietnam can establish a resilient and competitive industrial base for long-term success.

Cross-National Comparison of Technology Innovation Capabilities in Automation and Robotics

In today’s dynamic and global economic environment, technological innovations are a key determinant of international competitiveness. In the field of automation and robotics, the development of modern technologies is of particular significance, influencing not only industrial progress but also social aspects. Automation and robotics play a crucial role in the concept of modern industry, contributing to the creation of more sustainable, flexible, and human-centric production systems. The article aims to conduct an in-depth analysis of the patent activity in automation and robotics in Europe. Patent documentation serves as a source of knowledge about the directions of research, inventive activities, and consequently, the innovative and competitive potential of the economy. The number of patents over time reflects the dynamics of a country’s technological development. The article discusses the use of patent databases to evaluate a country’s innovation in automation and robotics. The conducted analysis of data on European countries enabled the identification of trends based on the International Patent Classification and specialisation from a geographical perspective using revealed comparative technological advantage. The European countries were classified using cluster analysis, demonstrating the diversity, and identifying leaders in each group.

Violence and the public narratives of history of science

The value of the humanities is severely limited by outmoded chronological frameworks, which continue to dominate public discussion and educational curricula while being rejected in current research. Even in adjacent academic fields, the history of science is often understood as a series of revolutions, particularly the much-criticised ‘Scientific Revolution’ of the 17th century. The view of science as a sequence of dramatic revolutions, famously articulated in the work of Thomas Kuhn, originated around 1900 in attempts to market a Eurocentric view of science-based industrial progress. It is, however, seriously misleading. The key issue is violence. The concept of scientific revolutions locates epistemic violence within specialist communities, obscuring the role of the sciences in colonial conquest and in silencing other ways of knowing. (This article is published in the thematic collection ‘The arts and humanities: rethinking value for today—views from Fellows of the British Academy’, edited by Isobel Armstrong.)

Research on Obstacle Avoidance Strategy of Automated Heavy Vehicle Platoon in High-Speed Scenarios

Amidst the rapid progression of the road transport industry, the safety and efficiency of heavy-vehicle platoons have garnered significant attention. The study tackles the challenge of obstacle avoidance presented by vehicles owing to their considerable mass, delayed response times, and line-of-sight impediments, by introducing a cooperative obstacle avoidance system for heavy-vehicle platoons based on deep reinforcement learning. The system comprises three primary modules: perception, decision-making, and control. Initially, the perception module acquires real-time environmental data. Subsequently, the decision-making module formulates obstacle avoidance decisions based on the acquired data. Specifically, it implements a two-stage braking obstacle avoidance strategy under low collision risk scenarios, while employing a fifth-degree polynomial for planning and tracking obstacle avoidance paths under high collision risk conditions suitable for steering maneuvers. The control module utilizes the local multi-agent deep deterministic policy gradient (LADDPG) algorithm to train the heavy-vehicle platoon agents, ensuring the formation’s maintenance while mitigating collisions with other vehicles and obstacles. The effectiveness of the proposed system is substantiated through simulation experiments, demonstrating its adaptability to various traffic conditions, selection of suitable obstacle avoidance strategies, and significant enhancement of obstacle avoidance performance and heavy-vehicle platoon stability.

Boron nitride nanosheets synergized with two‐dimensional micron silver sheets to enhance thermal conductivity and insulation of epoxy resin composites

AbstractWith the rapid progress of the advanced electronic device industry, precision electronic instruments are gradually developing towards miniaturization. In this case, epoxy resin gradually attracts people's attention, but its intrinsic thermal conductivity is not high, and the resulting heat dissipation problem limits the further application of epoxy resin in the field of electronic packaging. Therefore, how to enhance the thermal conductivity of epoxy resins has become an urgent problem in the field of electronic packaging. In this work, BNNS was successfully prepared by stripping h‐BN into a flaky two‐dimensional material, which was added to the epoxy resin as a filler to make the composite material. And on the basis of the above, two‐dimensional micron silver flakes (AgMS) with different mass fractions were added to the composites, and the AgMS/BNNS/EP composites were successfully prepared. When BNNS was 25 wt% and AgMS was 1 wt%, its out‐of‐plane thermal conductivity was enhanced from 0.17 W m−1 K−1 of pure epoxy resin to 0.43 W m−1 K−1. When BNNS was 20 wt% and AgMS was 1 wt%, the breakdown strength was enhanced from 105 kV/mm for pure epoxy to 130 kV/mm. This work provides a new strategy for synthesizing high‐thermal‐conductivity epoxy matrix composites.

Bentonite clay reinforced alginate grafted composite hydrogel with remarkable sorptive performance toward removal of methylene green

The rapid industrial progress in today's world has led to an alarming increase in water pollution caused by various contaminants such as synthetic dyes. To address this issue, a new hydrogel sorbent, BC-r-Na-Alg-g-p(NIPAm-co-AAc), was developed by combining bentonite clay, sodium alginate, and poly(N-isopropyl acrylamide-co-acrylic acid) through one-pot free radical polymerization at 60 °C. The developed sorbent was characterized using several analytical techniques including SEM, FTIR, TGA, UTM, and swelling studies. The swelling capacity of the sorbent was observed to increase remarkably with an increase in pH, reaching a maximum of 9664 % at pH 11. In batch mode sorption experiments, the sorbent's performance toward methylene green (MG) was investigated by analysing the effects of contact time, pH, temperature, and concentration. The experimental data were fitted to pseudo-second-order kinetic and Langmuir isotherm models, indicating chemisorption as the dominant interaction mode between the anionic sorbent and cationic MG. However, physisorption may also occur to a lesser extent, indicated by the significant R2 of the pseudo-first-order kinetic and Freundlich isotherm models. Additionally, the sorbent exhibited very little decrease (approximately 5 %) in sorptive performance for six sorption-desorption cycles. Overall, the facile fabrication, excellent swelling (9664 %), promising sorption performance (2573 mg.g−1), and good recyclability (6 cycles) make the developed sorbent a potential candidate for various industrial applications.

Assessing the physiological properties of baker's yeast based on single-cell Raman spectrum technology

With rapid progress in the yeast fermentation industry, a comprehensive commercial yeast quality assessment approach integrating efficiency, accuracy, sensitivity, and cost-effectiveness is required. In this study, a new yeast quality assessment method based on single-cell Raman technology was developed and contrasted with traditional methods. The findings demonstrated significant associations (Pearson correlation coefficient of 0.933 on average) between the two methods in measuring physiological indicators, including cell viability and intracellular trehalose content, demonstrating the credibility of the Raman method compared to the traditional method. Furthermore, the sensitivity of the Raman method in viable but non-culturable cells was higher in measuring yeast cell viability (17.9 % more sensitive). According to the accurate quantitative analysis of metabolic activity level (MAL) of yeast cells, the cell vitality was accurately quantified at population and single-cell levels, offering a more comprehensive assessment of yeast fermentation performance. Overall, the single-cell Raman method integrates credibility, feasibility, accuracy, and sensitivity in yeast quality assessment, offering a new technological framework for quality assessments of live-cell yeast products.

Directional nature of technological progress in the petrochemical industry prompting energy marginal substitution

Technological progress does not uniformly benefit all industries or factors' productivity levels. The energy productivity and labour employment situation in the Chinese petrochemical industry have not witnessed substantial improvements in the last decade. The literature has overlooked the importance of recognizing the directional nature of technological progress, which could enable a more strategic approach to economic development, resource allocation, and policy formulation. This study, guided by the core principles of endogenous economic growth theory, aims to uncover the influencing mechanisms and effects of technological progress bias on energy and employment by extending a theoretical model to account for energy, capital, and labour factors. The results reveal: (1) From 2000 to 2021, the relationship between labour, capital, and energy factors in the Chinese petrochemical industry has been predominantly complementary, with technological progress favouring labour-augmenting that is increasing labour productivity; (2) The gross complementarity of production factors leads to labour-augmenting technological progress, ultimately biased towards energy and capital factors; (3) Energy-capital-biased technological progress encourages producers to invest more energy and capital to substitute for labour factors, leading to a limited improvement in energy productivity and a consistent decline in labour employment since 2011. This study further corroborates that without government intervention, it would lead to improper factor allocation in the industry, resulting in market failure. Finally, corresponding policy recommendations are proposed.

Clean energy ship application to promote carbon neutrality in global maritime industry: State governance or international supervision？

The global maritime industry is facing the goal to achieve "carbon neutrality", and substituting traditional ship fuel with clean energy is the most important solution. Whether to promote clean-energy ships through state governance or unified international supervision to achieve carbon neutrality has been a long-standing debate. This study employs both a tripartite evolutionary game model and a quadrilateral evolutionary game model to compare the effectiveness of state governance and unified international supervision in promoting clean-energy ships. The tripartite model simulates interactions between local governments, shipping companies, and shippers, revealing that high subsidy costs reduce local governments' incentives to promote clean-energy ships. The quadrilateral model introduces international supervision, demonstrating that a unified international oversight mechanism can accelerate the global maritime industry's progress toward carbon neutrality. Numerical simulations indicate that lowering the purchase costs of clean-energy ships and introducing government subsidies significantly influence the adoption of clean-energy ships, while supervision costs impact the effectiveness of international regulations. These findings provide critical insights for policymakers aiming to balance financial incentives and global supervision strategies to foster low-carbon development in the maritime sector.

A framework armed with node dynamics for predicting technology convergence

In the rapidly evolving landscape of industrial and societal progress, technology convergence plays a pivotal role. This dynamic process is usually characterized by the emergence of new nodes and new links. With the long-term and recent interests in predicting technology convergence, link prediction has become the primary approach on the basis of large-scale patent data. Though, the problem of node dynamics is still not addressed in the literature. For this purpose, this paper presents a technology convergence prediction framework with three core modules as follows. (1) A candidate node set is introduced during the network construction phase, mimicking the generation of newly-emerging nodes. (2) An inductive graph representation learning approach is deployed to generate feature vectors for newly-emerging nodes as well as existing ones. (3) The evaluation criteria are revised to shift from the predictable range to the actual predicted range, which can provide a more realistic assessment of predictive performance. Finally, experimental results on the domain of cancer drug development validate the feasibility and effectiveness of our framework in capturing the dynamics of technology convergence, especially concerning the relationships of newly emerged nodes and links. This study provides valuable insights into technology convergence dynamics and points to future research and applications.

Psychological resilience mediates sense of professional mission and career success in Chinese intensive care unit nurses: a cross-sectional study

BackgroundThe nursing industry's stability and progress are adversely affected by the high attrition rate and shortage of nurses; therefore, it is critical to investigate the variables that influence the professional stability of nurses. The sense of professional mission and career success have positive significance for reducing nurses' job burnout. The purpose of this study is to explore the potential mediating role of psychological resilience in this relationship.MethodsSelf-reported questionnaires were utilized by 335 intensive care unit (ICU) nurses to assess their sense of professional mission, psychological resilience, and career success in this cross-sectional study. A structural equation model was developed to validate the relationship between the variables.ResultsThere is a correlation among sense of professional mission, psychological resilience and career success. Significant mediating effect of psychological resilience exists between sense of professional mission and career success.ConclusionsIn this study, psychological resilience plays an intermediary role between sense of professional mission and career success, which provides support for further understanding the mechanism between sense of professional mission and career success and bolstering the case for devising comprehensive intervention strategies for psychological resilience. Nursing managers should focus on nurses' sense of professional mission and psychological resilience, and implement strategies to enhance nurses' psychological resilience in order to boost their career success.

Promoting Sustainable Development of Coal Mines: CNN Model Optimization for Identification of Microseismic Signals Induced by Hydraulic Fracturing in Coal Seams

Borehole hydraulic fracturing in coal seams can prevent dynamic coal mine disasters and promote the sustainability of the mining industry, and microseismic signal recognition is a prerequisite and foundation for microseismic monitoring technology that evaluates the effectiveness of hydraulic fracturing. This study constructed ultra-lightweight CNN models specifically designed to identify microseismic waveforms induced by borehole hydraulic fracturing in coal seams, namely Ul-Inception28, Ul-ResNet12, Ul-MobileNet17, and Ul-TripleConv8. The three best-performing models were selected to create both a probability averaging ensemble CNN model and a voting ensemble CNN model. Additionally, an automatic threshold adjustment strategy for CNN identification was introduced. The relationships between feature map entropy, training data volume, and model performance were also analyzed. The results indicated that our in-house models surpassed the performance of the InceptionV3, ResNet50, and MobileNetV3 models from the TensorFlow Keras library. Notably, the voting ensemble CNN model achieved an improvement of at least 0.0452 in the F1 score compared to individual models. The automatic threshold adjustment strategy enhanced the identification threshold’s precision to 26 decimal places. However, a continuous zero-entropy value in the feature maps of various channels was found to detract from the model’s generalization performance. Moreover, the expanded training dataset, derived from thousands of waveforms, proved more compatible with CNN models comprising hundreds of thousands of parameters. The findings of this research significantly contribute to the prevention of dynamic coal mine disasters, potentially reducing casualties, economic losses, and promoting the sustainable progress of the coal mining industry.

Sorption interactions and behavior of bentonite-lignite based composite toward immobilization of dyes, pharmaceuticals and surfactants

The presence of dyes, pharmaceuticals, and surfactants in the environment results from extensive industrial and societal progress, prompting the need to explore efficient and safe techniques for their removal. Common concentrations in wastewater can range from micrograms to milligrams per liter, which is concerning due to their persistence and potential health impacts. The sustainable approach of using a nonconventional, eco-friendly mineral-organic composite might address this environmental issue. This study focuses on utilizing a composite of bentonite (BEN) and lignite (LIG) as a sorbent for dyes: Rhodamine b (RB), Remazol brilliant blue r (RBBR), pharmaceuticals: ibuprofen (IB), sulfamethoxazole (STX), and surfactant: sodium dodecylbenzenesulfonate (SDBS) from both synthetic solutions and real wastewater. BEN was chosen for its high cation exchange capacity, while LIG was selected for its ability to adsorb both anionic and cationic formsdiverse functional groups. The composite with BEN to LIG ratio of 20:80 (BL 20:80) demonstrated superior sorption capacity. The adsorption performance is quantified, showing removal efficiencies of up to 18.9 mg RBBR/g, 22.8 mg RB/g, 1.77 mg IB/g, 1.47 mg STX/g, and 4.7 mg SDBS/g. Sorption efficiency is influenced by factors such as the initial sorbate concentration, the pH of the solution, the form of sorbates, and the adsorbents textural, physicochemical (point of zero charge pHZPC), ion-exchange capacity, hydrophobicity/hydrophilicity) properties. Generally, STX and RB is favored by slightly acidic conditions (pH 4–7), while RBBR and IB are favored by alkaline conditions (pH > 7). The complex physical sorption mechanism includes hydrogen bonding, electrostatic and dispersion forces, as well as π-π interactions. Nuclear magnetic resonance spectroscopy (NMR) suggests that a significant portion of the hydrogen bonding interactions contributes to RB adsorption. The sorption results indicate that the specially-designed mineral composite can effectively remove various chemically distinct organic compounds from real wastewater. Subsequent investigations will focus on the granulated BL 20:80 composite and its applicability in dynamic column systems. This aligns with the ongoing development of purification technologies.