Industrial Progress Research Articles

A Review of the Impact of Starch on the Quality of Wheat-Based Noodles and Pasta: From the View of Starch Structural and Functional Properties and Interaction with Gluten.

Starch, as a primary component of wheat, plays a crucial role in determining the quality of noodles and pasta. A deep understanding of the impact of starch on the quality of noodles and pasta is fundamentally important for the industrial progression of these products. The starch structure exerts an influence on the quality of noodles and pasta by affecting its functional attributes and the interaction of starch-gluten proteins. The effects of starch structure (amylopectin structure, amylose content, granules size, damaged starch content) on the quality of noodles and pasta is discussed. The relationship between the functional properties of starch, particularly its swelling power and pasting properties, and the texture of noodles and pasta is discussed. It is important to note that the functional properties of starch can be modified during the processing of noodles and pasta, potentially impacting the quality of the end product, However, this aspect is often overlooked. Additionally, the interaction between starch and gluten is addressed in relation to its impact on the quality of noodles and pasta. Finally, the application of exogenous starch in improving the quality of noodles and pasta is highlighted.

Prediction of the Development of China's New Energy Industry

In the past decade, China's new energy vehicle industry has developed rapidly due to the influence of national policies. In recent years, China has started planning to cease policy support for the new energy vehicle industry. Therefore, predicting the future development of China's new energy industry is of great significance for policy-making in China. This paper selects 10 factors influencing the development of new energy electric vehicles in the past ten years and 4 indicators reflecting the development of new energy electric vehicles. We combine the Entropy Weight Method with TOPSIS to score the development status of new energy electric vehicles based on 4 indicators. Then, we use Principal Component Analysis to reduce the dimensionality of the ten influencing factors to three principal components. To quantify these effects, Lasso regression is performed using 3 principal components to prevent overfitting. Therefore, this article obtained a model for predicting the development status of China's new energy vehicle industry, with a goodness of fit of over 0.98, indicating a good fit of the model. In order to predict the development score for the next decade, this paper first predict the data of ten factors for the next decade. The factors that remain unchanged are not treated. Factors that change the trend significantly are predicted using GM (1,1) and the forecast is good. For stationary time series, this paper collects data from nearly 20 years and trains on Long Short-Term Memory Networks. R2 = 0.891 and RMSE < 0.1, Therefore, the model can be used to predict data for the next 10 years. After obtaining various data, this paper obtains the development score of new energy electric vehicles in the next 10 years according to the regression equation. Finally, this paper concludes that the development and progress of China's new energy industry will slow down in the next decade, with a score increase of about 20%.

The Transition of English Literature from the Nineteenth Century to the Twentieth Century: A Case Study of Bernard Shaw & H. G. Wells

The sincerity of literature as an expression of life is normal, as long as it expresses the human soul which is affected by external life. This is something that humans cannot escape from or stand in isolation of, but the responses differ according to different human natures, and the way each person receives and interacts with influences, but they all in the end echo the external life. European life in the late nineteenth and early twentieth centuries was the scene of violent intellectual movements, all of which tended to solve the social problems that had worsened at that time in human history, owing to the reaction of industrial progress in economy and society. It was natural for literature to enter the battle and be one of its effective weapons because writers could not be isolated in their ivory towers, far from the conflicting classes and the rapidly transforming situations, as if they did so, their readers would abandon them, in search of those who would talk about their pain and share their problems. Therefore, most of the literary productions of this time — all types of plays, novels, poetry, and essays — take social problems as their theme, and try in their own way to point out the means of treatment. Perhaps the most distinguished examples of this trend were Bernard Shaw, and H. G. Wells, whose production mainly depends on such topics. And if there are other writers and critics, we are just content with these two as they are sufficiently indicative in terms of providing an understanding of prospects and mechanism of the literature of that era.

Analyzing the nexus between Chinese industrial policy and cross-border M&As.

In recent years, as China experiences economic expansion and its corporations become more global, it has notably become a central hub for cross-border mergers and acquisitions (M&A) on the world stage. The Chinese government, in tandem, leverages these international M&A operations to drive industrial transformation and progress in technology. This research investigates the role of China's industrial policies in shaping cross-border M&A activities by examining recent instances. Findings indicate that relaxing financial barriers and applying specific industrial tactics bolster companies' abilities to secure funding, consequently energizing cross-border M&A initiatives. Several firms in these international mergers and acquisitions are intricately connected to political strategies, markedly affecting the formulation of industrial policies. This assertion is corroborated through the analysis of relevant statistical evidence. The study methodically collects and scrutinizes data to quantitatively depict the current landscape and influencing elements of cross-border M&A, thus providing concrete evidence for policy and business strategy formulation.

Development of green pesticides from traditional Chinese medicines based on artificial intelligence and compatibility of traditional Chinese medicines

The food security of China as a big agricultural country is attracting increasing attention. With the progress in the traditional Chinese medicine industry, Chinese medicinal materials and their preparations have been gradually developed as agents for disease prevention and with antimicrobial and insecticidal functions in agriculture. Promoting pesticide innovation by interdisciplinary integration has become the trend in pesticide research globally. Considering the increasingly important roles of green pesticides from traditional Chinese medicines and artificial intelligence in pest target prediction, this paper proposed an innovative green control strategy in line with the concepts of ecological sustainable development and food security protection. CiteSpace was used for visual analysis of the publications. The results showed that artificial intelligence had been extensively applied in the pesticide field in recent years. This paper explores the application and development of biopesticides for the first time, with focus on the plant-derived pesticides. The thought of traditional Chinese medicine compatibility can be employed to creat a new promosing field: pesticides from traditional Chinese medicine. Moreover, artificial intelligence can be employed to build the formulation system of pesticides from traditional Chinese medicines and the target prediction system of diseases and pests. This study provides new ideas for the future development and market application of biopesticides, aiming to provide more healthy and safe agricultural products for human beings, promote the innovation and development of green pesticides in China, and protect the sustainable development of the environment and ecosystem. This may be the research hotspot and competition point for the green development of the pesticide industry chain in the future.

Impact of natural resource dependence on green technology development: Role of digital governance in mitigating resource-curse using big data

The pursuit of a green economy as a strategy to counteract the “resource curse' phenomenon represents a burgeoning paradigm shift. A sophisticated digital governance infrastructure is vital, serving as an integral mechanism for ensuring transparency, enhancing data efficacy, and fostering public involvement—all crucial components of sustainable environmental stewardship. In light of this context, our analysis examines the interplay between natural resource dependence and green technological innovation, as well as delineating the potential pathways interlinking the two, through an empirical assessment using provincial data from China spanning the years 2011–2021. Employing advanced techniques in big data text mining, we have devised a government digital transformation index calibrated to elucidate the impacts of digitalization on the twin variables of natural resource reliance and the propagation of green technologies. Our findings indicate a marked deleterious influence of natural resource dependence on the evolution of green technological initiatives at the regional level, a trend most pronounced in China's central and western provinces as well as in locales with comparatively low economic development metrics. Furthermore, our research ascertains that the impeding force of natural resource dependence on green technology ascension is primarily exercised through diminished regional research and development capabilities, stagnation of industrial structure progression, and limited openness to external economic integration. Finally, the study posits that the implementation of digital governance measures holds the capability to substantially mitigate the restrictive impact of natural resource dependence on green technology advancement. This underscores the imperative for a digital governance architecture that actively neutralizes and meticulously monitors the adverse outcomes associated with resource consumption.

AN ANALYSIS OF EXIM STEEL TRADE IN INDIA

Metals have long been a driving force behind industrialisation. Steel has always held a leading position among metals. Steel production and consumption are commonly viewed as markers of economic success as a raw material and intermediate product. As a result, it is not an exaggeration to claim that the steel sector has always been at the forefront of industrial progress and is the foundation of any economy. The steel industry is the pulse of an economy, indicating the general direction of the economy. The industry primarily assesses a country's or regions economic success. This is due to its widespread application in a variety of end-user industries, notably infrastructure, which is a major steel consumer.

The release of ‘LCP 85‐384’ and its contribution to the Louisiana sugar industry

AbstractBasic breeding efforts initiated at the USDA‐ARS in Houma, LA, in the late 1950s allowed Louisiana sugarcane breeders, once again, to cross with the wild germplasm of cultivated sugarcane, Sacharum spontaneum. ‘LCP 85‐384’ was the first success story from this effort and was quickly adopted by growers. It became clear that the cultivar would prove to be substantially impactful to the Louisiana sugar industry. Performing at unprecedented yields in ratoon crops, LCP 85‐384 changed how Louisiana growers would manage their crops. The variety proved to possess traits that fared well in the subtropical production zones of the state. Substantial stalk populations seemed to play a vital role in the necessary ratoon ability and consequent cold tolerance necessary for production in Louisiana. After significant disease pressure, the variety quickly declined in production acreage, but not in impact. It continued to provide sustained progress as a parent for years, contributing to most modern commercial cultivars in Louisiana. Today, LCP 85‐384 and its progeny are used in breeding and genetic research to usher in the next era of progress in the Louisiana sugar industry. Meanwhile, through cooperative efforts of breeding programs around the world, it is making its mark on the sugarcane industries of Argentina in much the same way as it did in Louisiana. In the future, it is expected that the progress made in the breeding program will continue by building upon the gains achieved from LCP 85‐384 and its progeny for the sustained success of the Louisiana sugarcane industry.

Chatter detection in simulated machining data: a simple refined approach to vibration data

Vibration monitoring is a critical aspect of assessing the health and performance of machinery and industrial processes. This study explores the application of machine learning techniques, specifically the Random Forest (RF) classification model, to predict and classify chatter—a detrimental self-excited vibration phenomenon—during machining operations. While sophisticated methods have been employed to address chatter, this research investigates the efficacy of a novel approach to an RF model. The study leverages simulated vibration data, bypassing resource-intensive real-world data collection, to develop a versatile chatter detection model applicable across diverse machining configurations. The feature extraction process combines time-series features and Fast Fourier Transform (FFT) data features, streamlining the model while addressing challenges posed by feature selection. By focusing on the RF model’s simplicity and efficiency, this research advances chatter detection techniques, offering a practical tool with improved generalizability, computational efficiency, and ease of interpretation. The study demonstrates that innovation can reside in simplicity, opening avenues for wider applicability and accelerated progress in the machining industry.

Sericulture in Jammu and Kashmir- A Review

Sericulture is considered as an age old occupation in Jammu and Kashmir. J&K has enormous potential for silk production empowering the farmers of J&K by increasing their income and employment (Dar et al., 2021).The raw silk produced in J&K is recognized across the globe. The size of land holding is less for sericulture activity compared to horticulture and agroforesrty. Farmers from about 20 districts of J&K take sericulture as the subsidiary occupation. Spring season crop (May-June) is the main crop in this region followed by second crop during September- October (Chouhan et al., 2016). Important mulberry varieties cultivated are Goshoerami, Ichinose, KNG, Kukusou 21, Sujanpur and Chak Majra (Shabnam et al., 2016). Silkworm races of commercial importance are DUN22, NB4D2, SK6, SKUAST-31, CSR18 and DUN6 (Buhroo et al., 2017). Sericulture is taken as a subsidiary occupation by about 33,000 rural households in J&K. Most of these families are economically backward and sericulture plays a crucial role for their livelihood. In order to empower these farm families productivity and quality of cocoons need to be improved by applying scientific package of practices. (Bhat et al., 2020). Inadequacy of mulberry leaves and lack of awareness on scientific technologies, ineffective marketing strategies are the hurdles for the progress of sericulture industry in J&K.

Sustainability in small and medium enterprises: A circular economy approach using cloud computing

AbstractSustainable production and consumption are the need of the hour. Adopting the Circular Economy (CE) approach fosters sustainable business practices. Cloud computing is a new way of storage and application deployment. Cloud computing enables sustainable business processes, which in turn contributes towards the effective implementation of the Circular Approach to Business Practices (CABP). The current study aims to understand the potential of cloud computing to foster circular economy practices in Small and Medium Enterprises (SMEs). We conducted a Systematic review of 186 scholarly articles published in Web of Science (WOS), selected using the PRISMA framework. We conducted scientometric analysis on sources, authors and country level and thematic analysis to pinpoint further research areas. This was followed by a detailed literature review of the articles selected to study the concept and current practices of circular economy and an evaluation of its implementation in emerging economies. The paper proposes an integrated framework grounded in two approaches, that is, the Technology, Organization and Environment (TOE) framework and institutional isomorphism as determinants of cloud adoption and CE implementation. The proposed model explores the impact of institutional forces on the various parameters of TOE, thereby culminating in the adoption of Cloud Computing in SMEs. The study would encourage leaders and managers of SMEs to adopt cloud computing for competitive advantage and achieve a circular economy approach together. The adoption of cloud‐based applications has a great potential to foster industrial and economic progress with minimum damage to the ecosystem, furthering sustainability and achieving Sustainable Development Goals (SDGs).

Research Progress on Fog Cultivation Technology for Potato Seed Production

The market demand for potato seed (minituber) is increasing with the progression and expansion of the potato industry, and the potato seed degeneration has become one of the important factors to restrict the yield and quality of potatoes in the actual development of potato industry. In recent years, the aeroponic cultivation of potato seed has the advantages of high yield and high efficiency as a newly developed virus-free production technology, which effectively solves the problems of soil-borne diseases and continuous cropping obstacles during the potato seed production, as well as opens up a new way for the scalization of potato seed production. In this thesis, the key points of potato seed aeroponic technology, the facility intelligentization development, the core nutrient solution and cultivation management and methods of automatic control of supply system were elaborated, the current problems and application prospects of this technology are summarized based on personal production experience, aimed to provide some foundations for the production as well as practical guidance of potato seed aeroponics cultivation.

Optimizing waste management for green shipping: industry commitment through participatory processes in Cyprus

Every year, up to 0.3 million tonnes of waste from the European shipping industry is not properly delivered at ports. Most of the waste produced by the shipping industry is plastic waste, putting plastics at the forefront of the shipping industry’s waste management efforts. In an increasingly connected global economy, concerted actions that encourage and incentivise waste minimisation and waste management optimisation are essential for the reduction of marine litter and the achievement of a circular economy within the shipping industry. Cyprus, an important flag state, can take a leadership role towards this direction. This article presents the results of the implementation of the DeCyDe-4-Shipping decision-support participatory method in Cyprus, which allowed effective multi-stakeholder interactions and resulted in the identification of actions for waste minimisation and waste management optimization that are relevant, effective, implementable, and stem from stakeholder consensus. The method resulted in the definition of yearly action plans with prioritized actions and provided the tools through which to monitor the industry’s annual progress. As the shipping industry is dependent on a global supply chain, DeCyDe-4-Shipping could be replicated at a wider geographic scale, starting with Mediterranean ports, to ensure consistent industry progress towards waste minimization and waste management optimization.

Raising root zone temperature improves plant productivity and metabolites in hydroponic lettuce production.

While it is commonly understood that air temperature can greatly affect the process of photosynthesis and the growth of higher plants, the impact of root zone temperature (RZT) on plant growth, metabolism, essential elements, as well as key metabolites like chlorophyll and carotenoids, remains an area that necessitates extensive research. Therefore, this study aimed to investigate the impact of raising the RZT on the growth, metabolites, elements, and proteins of red leaf lettuce. Lettuce was hydroponically grown in a plant factory with artificial light at four different air temperatures (17, 22, 27, and 30°C) and two treatments with different RZTs. The RZT was raised 3°C above the air temperature in one group, while it was not in the other group. Increasing the RZT 3°C above the air temperature improved plant growth and metabolites, including carotenoids, ascorbic acids, and chlorophyll, in all four air temperature treatments. Moreover, raising the RZT increased Mg, K, Fe, Cu, Se, Rb, amino acids, and total soluble proteins in the leaf tissue at all four air temperatures. These results showed that raising the RZT by 3°C improved plant productivity and the metabolites of the hydroponic lettuce by enhancing nutrient uptake and activating the metabolism in the roots at all four air temperatures. Overall, this research demonstrates that plant growth and metabolites can be improved simultaneously with an increased RZT relative to air temperature. This study serves as a foundation for future research on optimizing RZT in relation to air temperature. Further recommended studies include investigating the differential effects of multiple RZT variations relative to air temperature for increased optimization, examining the effects of RZT during nighttime versus daytime, and exploring the impact of stem heating. This research has the potential to make a valuable contribution to the ongoing growth and progress of the plant factory industry and fundamental advancements in root zone physiology. Overall, this research demonstrates that plant growth and metabolites can be improved simultaneously with an increased RZT relative to air temperature. This study serves as a foundation for future research on optimizing RZT in relation to air temperature. Further recommended studies include investigating the differential effects of multiple RZT variations relative to air temperature for increased optimization, examining the effects of RZT during nighttime versus daytime, and exploring the impact of stem heating. This research has the potential to make a valuable contribution to the ongoing growth and progress of the plant factory industry and fundamental advancements in root zone physiology.

Exploring the Impact of the Digital Economy on China's Export Implied Carbon Intensity: A Provincial Panel Data Analysis

Exploiting the positive effect of digital economy on reducing the implied carbon intensity of exports is an important path to promote the green and low-carbon transformation of China's export trade. In view of this, using the Chinese provincial panel data from 2008 to 2020 to scrutinize the consequential impact and intricate mechanisms at play between these variables. Employing a robust methodology, including fixed-effects models, mediating-effects models, and threshold models, the analysis delves into the multi-faceted impact of the digital economy on export implied carbon intensity. It is found that (1) The enhancement of the digital economy can significantly reduce the implied carbon intensity of exports. (2) The digital economy further diminishes the implied carbon intensity of exports through the mediating influences of industrial structure and technological progress. (3) The relationship between the digital economy, industrial structure, and technological progress exhibits a noteworthy non-linear dynamic concerning export implied carbon intensity.

Advancements in multi-material additive manufacturing of advanced ceramics: A review of strategies, techniques and equipment

Ceramics possess notable attributes including excellent wear resistance, exceptional high-temperature strength, superior hardness, and outstanding biocompatibility, rendering them indispensable for the fabrication of key industrial components. Additive manufacturing presents significant benefits such as precise fabrication, design flexibility, and the ability for mass customization. This technology facilitates the creation of intricate structural or functional ceramic components with complex geometries, effectively addressing issues that are inadequately managed by conventional methods, such as the inherent brittleness of ceramics and challenges associated with ceramic machining. As advancements in aerospace, special industry, and biomedical sectors progress, the performance limitations of uniform ceramic materials and structures have emerged as a bottleneck constraining the broadening of their application range. There is a pressing need to transition from single-material ceramic additive manufacturing to multi-material printing. This paper highlights and compares various notable advancements in typical single-material ceramic additive manufacturing. In addition, it delves into the present status of multi-material ceramic additive continuous forming and the development of associated equipment, focusing on different forming mechanisms. Finally, the paper concludes by identifying the primary challenges and research priorities in multi-material ceramic additive manufacturing, and suggests potential directions for future development.

Microscopic simulation study on the penetration property of pure hydrogen sulfide gas in polyethylene and polyvinylidene fluoride

The H2S penetration in the nonmetallic biogas pipelines and reinforced thermoplastic composite pipelines can lead to severe environmental pollution and disrupt the regular operations of oil and gas fields. Thus, delving into and comprehending the H2S penetration in polyethylene (PE) or polyvinylidene fluoride (PVF2) holds immense significance for both environmental preservation and industrial progress. In this study, Grand Canonical Monte Carlo (GCMC) and Molecular Dynamics (MD) are employed to investigate and contrast the H2S penetration property within PE and PVF2 at 300–360 K and 0.1–1.5 MPa. The results indicate the diffusion and penetration coefficients decrease with decreasing temperature and pressure, while the solubility coefficient increases with decreasing temperature. Compared to PE, PVF2 demonstrates stronger resistance to H2S penetration, mainly due to H2S is difficult to diffuse in PVF2. The relationship between penetration coefficient and temperature is consistent with Arrhenius law. In 0.1 MPa, the activation energy of H2S in PE and PVF2 are 31,911 and 42,247 J/mol, respectively. Moreover, the relationship between activation energy and pressure is power function. The study also reveals the H2S diffusion in both PE and PVF2 follows the leap mechanism. These research findings can offer valuable guidance for reducing environmental pollution and ensuring industrial development.

Innovative textiles treated with TiO2-AgNPs with succinic acid as a cross-linking agent for medical uses

Silver and titanium-silver nanoparticles have unique properties that make the textile industry progress through the high quality of textiles. Preparation of AgNPs and TiO2-Ag core–shell nanoparticles in different concentrations (0.01% and 0.1% OWF) and applying it to cotton fabrics (Giza 88 and Giza 94) by using succinic acid 5%/SHP as a cross-linking agent. Ultra-violet visible spectroscopy (UV–Vis), X-ray diffraction (XRD), dynamic light scattering (DLS), zeta potential, transmission electron microscopy (TEM), scanning electron microscopy/energy-dispersive X-ray (SEM–EDX) are tools for AgNPs and TiO2-AgNPs characterization and the treated cotton. The resulting AgNPs and TiO2-AgNPs were added to cotton fabrics at different concentrations. The antimicrobial activities, UV protection, self-cleaning, and the treated fabrics' mechanical characteristics were investigated. Silver nanoparticles and titanium dioxide-silver nanoparticles core–shell were prepared to be used in the treatment of cotton fabrics to improve their UV protection properties, self-cleaning, elongation and strength, as well as the antimicrobial activities to use the produced textiles for medical and laboratory uses and to increase protection for medical workers taking into account the spread of infection. The results demonstrated that a suitable distribution of prepared AgNPs supported the spherical form. Additionally, AgNPs and TiO2-AgNPs have both achieved stability, with values of (− 20.8 mV and − 30 mV, respectively). The synthesized nanoparticles spread and penetrated textiles' surfaces with efficiency. The findings demonstrated the superior UV protection value (UPF 50+) and self-cleaning capabilities of AgNPs and TiO2-AgNPs. In the treatment with 0.01% AgNPs and TiO2-AgNPs, the tensile strength dropped, but the mechanical characteristics were enhanced by raising the concentration to 0.1%. The results of this investigation demonstrated that the cotton fabric treated with TiO2-AgNPs exhibited superior general characteristics when compared to the sample treated only with AgNPs.

Fostering planetary health in polluted environments: lessons from the Xonacatlán Indigenous Council in Mexico

BackgroundThe communities of El Salto and Juanacatlán face negative impacts on human and ecosystem health due to their proximity to the second-largest industrial area in Mexico. Despite living in a region negatively impacted by high levels of pollution, these communities have organised to foster planetary health by reforesting with native plants, campaigning to stop further industrial development, and founding the Xonacatlán Indigenous Council (XIC) to reclaim traditional ways of living. This research project seeks to advance insights on the implications of fostering planetary health from the perspective of communities facing adverse socioeconomic and environmental conditions. MethodsThis qualitative study draws from participatory action research, Indigenous storywork, and ethnography. The XIC acted as the community advisory board of this research project and two XIC members are part of the research team. We investigate whether the stories and practices of community members associated with XIC contribute to fostering planetary health. Research activities will include 40–60 participants in storytelling interviews, story-making workshops, and participant observation in XIC activities. Data collection started on Nov 20, 2023, and will be finalised in August, 2024. FindingsOur ethnographic analysis investigates local understandings of the relationships between human and ecosystem health. Anticipated findings include stories about the rejection of narratives of industrial progress due to environmental damage, the reconnection with Coca identities and traditional ways of relating to the land, and the use of direct action to counteract the negligence of the state-sponsored public health system and assert local planetary health needs. InterpretationBy assessing grassroots Coca Indigenous action as a site of collective expertise on planetary health, we expect that this research project will bring attention to how people living in polluted environments can inform the conceptual development of planetary health and expand the range of practical initiatives that are considered fundamental to sustaining human and ecosystem life. FundingNone.

A Review on Possibilities of Artificial Intelligence in construction Industry

Abstract: At present if we see construction industries, they are facing lot of problems which finally create project delay. The progression of the construction industry is strictly limited by the countless complex challenges it faces such as cost and time overruns, health and safety, productivity and labour scarcities. Working on these complex problems of construction industries is not easy in many aspects but if these problems are countered with the help of AI results will be robust. Therefore, many research efforts in the Architecture, Engineering, and Construction community have recently tried introducing AI into building asset management processes. AI is also able to make the process of decision making faster, decrease error rates, and increase computational efficiency. Among the different AI techniques, machine learning, pattern recognition, and deep learning have recently acquired considerable attention and are establishing themselves as a new class of intelligent methods for use in structural engineering. A present review of existing literature on AI applications in the construction industry such as activity monitoring, risk management, resource and waste optimization was conducted. Additionally, the opportunities and challenges of AI applications in construction were identified and presented in this study. This study focuses on AI and its application in construction industry.