Traditional Production Methods Research Articles

Production Pathways of Television Programs Based on New Media Technology

In the context of the new media era, new media technology has become a key technology in the production of television programs. This technology transforms traditional television production methods and channels, making television programs more impactful, with superior picture quality, thereby truly achieving innovation in program production and increasing their attractiveness. This paper analyzes and studies the production pathways of television programs using new media technology. It first examines the advantages of new media technology in television program production and then explores its specific application pathways in television program production through a case study of a particular program. Additionally, it provides a forecast for the development of new media and television program production technology, aiming to promote the development of television program production.

Integration of Industry 4.0 technologies in industrial manufacturing processes

The integration of Industry 4.0 technologies into industrial production processes represents a significant evolution. This article explores the impact and benefits of this integration, showing how emerging technologies are revolutionizing traditional production methods. The methodology addresses the fundamental concepts of Industry 4.0, such as device interconnection, real-time data analysis, and intelligent automation, and examines specific technologies incorporated into manufacturing processes, such as the Internet of Things (IoT), Additive Manufacturing, Artificial Intelligence (AI), and Augmented Reality (AR). Case studies and practical examples illustrate the implementation of these technologies in various sectors, from precision parts manufacturing to mass production. Finally, the challenges and opportunities are discussed, as well as the future implications for the manufacturing industry. This article offers a view of the role of Industry 4.0 in industrial production processes, highlighting its importance for competitiveness and innovation in the digital world.

A Glance into the Near Future: Cultivated Meat from Mammalian and Insect Cells

The increasing global population and demand for meat have led to the need to find sustainable and viable alternatives to traditional production methods. One potential solution is cultivated meat (CM), which involves producing meat in vitro from animal stem cells to generate products with nutritional and sensory properties similar to conventional livestock‐derived meat. This article examines current approaches to CM production and investigates how using insect cells could enhance the process. Cell sources are a critical issue in CM production, alongside advances in culture media, bioreactors for scalability, and scaffold development. Insect cells, compared to commonly used mammalian cells, may offer advantages in overcoming technological challenges that hinder cell culture development and expansion. The objective of this review is to emphasize how insects, as a cell source for CM production, could offer a more sustainable option. A crucial aspect for achieving this goal is a comprehensive understanding of the physiology of muscle and fat cells. In this work, the characteristics of insect and mammalian cells are compared, focusing particularly on muscle and fat cell development, regulatory pathways, hormonal regulation, and tissue composition. Insect cells are a promising source for CM, offering a sustainable and environmentally friendly alternative.

Verification and Establishment of Techniques of Ajami Artwork

Ajami, a technique of painted wood paneling, was popular in the Ottoman Empire from the 17th to the late 18th centuries. Ajami art became prominent in Syria after the decline of tile production, and it rose to a sophisticated level of art in both local and global markets. Today, however, Ajami art has become almost forgotten and unknown by the modern generation, due to being an exclusive art that can be seen only in palaces, museums, and historical houses. This study investigates the traditional method and techniques of making Ajami, with a focus on the work of a renowned Syrian Ajami art master artisan named Mr. Abdulraouf. The study aims to identify and document the traditional method of Ajami production and determine the materials and techniques used for making Ajami. The study found that Ajami art consists of natural elements that are utilized in four main stages; foundation, design, painting, and finishing. The artisans have a strong preference for floral and geometric designs, influenced by Islamic religious beliefs. The findings of this study could serve as an educational guide to preserve heritage and make it presentable for the present and future generations.

Innovative Techniques in Sandalwood Oil Extraction: Optimizing Phenolic and Flavonoid Yields with Subcritical Ethanol

Sandalwood essential oil, known for its rich content of phenolic and flavonoid compounds, holds great promise for applications in perfumery and medicine. However, traditional production methods have raised concerns regarding their environmental impact and sustainability. This study explored subcritical ethanol extraction as a green technique to address these concerns. Under optimized conditions (6.04 MPa, 109 °C, and 2.01 mL/min), maximum oil yield reached 4.04% with substantial total phenolic compounds (TPCs) of 4.11 mg GAE/100 g and total flavonoid compounds (TFCs) of 8.85 mg QE/100 g in the extracted sandalwood oil. Furthermore, the oil displayed notable antioxidant activity AA of 71.68%. The temperature was identified as a significant factor affecting oil yield, TPCs, TFCs, and AA. The fine-tuning of the extraction temperature enhanced the desired characteristics, improving bioactive compound yields and heightening antioxidant potential. This study uses a green extraction technique to contribute to sustainable sandalwood essential oil production.

Toward Sustainable Biomanufacturing: A Feasibility Index for Silicon Carbide Production from Rice Waste

Silicon carbide, known for its distinct chemical and physical properties, is increasingly recognized as a critical material in sectors such as energy, space, and defense. Traditional production methods like the Acheson process are energy-intensive and costly, both in terms of investment and maintenance. Additionally, the concentrated nature of its manufacturing can lead to supply bottlenecks, hindering technological progress in key areas. To address these issues, this paper proposes a circular economy approach to silicon carbide production, leveraging the ecological challenge of rice waste disposal to create a new source of silica materials. It includes an evaluation of the economic and technological feasibility of this method and introduces a multidimensional composite index to identify potential early adopters for large-scale implementation. This innovative approach not only reduces reliance on critical minerals but also offers a solution to managing agricultural waste.

MARKET ACCESS FOR LOCAL GEOGRAPHICAL INDICATIONS AND MARKETING GI PRODUCTS: THE METRO EXAMPLE

This paper explores how the trend towards locality, transparency and geographically indicated products in the food industry reflects a shift towards conscious consumerism and how it transforms food marketing industry. There has been a paradigm shift in consumer preferences, with a growing emphasis on obtaining information about the quality, origin, and production methods of food. There is mounting pressure on food companies to provide information about their products. Studying the industrialization of geographical indications requires an exploration of how this phenomenon impacts local economies, traditional production methods, and the overall sustainability of the products in question.

Climate Change May Threaten the Production of Bettelmatt Cheese: Environmental and Regulatory Challenges

Bettelmatt cheese, a cherished Italian culinary gem hailing from the picturesque Val d’Ossola region, is deeply intertwined with its natural environment. This article explores the intricate relationship between the organoleptic attributes of Bettelmatt cheese and the challenges posed by climate change. The sensory qualities of this cheese, including its flavor profile, texture, and aroma, are profoundly influenced by the alpine pastures where the cows graze, the unique terroir, and the traditional production methods. However, as climate change continues to impact ecosystems and weather patterns, it raises questions about the resilience and adaptability of this traditional cheese. In addition to these challenges, the article studies, also through producers’ testimonies, the rules in order to protect this cheese, which is crucial for food and gastronomic sciences.

The multifaceted socio-ecological impacts of charcoal production on the Afram Plains, Ghana

This study investigates the environmental impacts of charcoal production in the Afram Plains region of Ghana, a forest-savannah transition ecosystem. Through a combination of remote sensing analysis, field surveys, and incorporation of local ecological knowledge, the research examines the extent of devegetation, depletion of tree species, and ecosystem degradation associated with charcoal production activities.The findings reveal the extensive scale of charcoal production, with over 2200 charcoal scars identified across the plain, and an alarming annual depletion of nearly 400,000 trees associated with a production of nearly 800,000 bags of charcoal. The indiscriminate felling of mature trees and low-efficiency traditional production methods have left vast areas in a degraded state.The study contributes to the literature by providing localized, species-level evidence of the impacts of charcoal production. It highlights the overexploitation of threatened species like Pterocarpus erinaceus (African Rosewood) and the concerning decline of economically valuable species like Nesogogordonia papaverifera and Erythrophleum africanum. Additionally, it identifies the resilience of Anogeissus leiocarpus, suggesting potential for sustainable use in charcoal production.The research underscores the urgency of addressing the challenges associated with charcoal production through multifaceted interventions, such as strengthening regulatory frameworks, promoting sustainable practices, facilitating reforestation efforts, engaging with local communities, and investing in research and data collection.By shedding light on the intricate relationship between anthropogenic activities and ecological dynamics, this study contributes substantively to ongoing discussions surrounding sustainable resource management and environmental conservation in vulnerable ecosystems.

Detecting Road Intersections from Crowdsourced Trajectory Data Based on Improved YOLOv5 Model

In recent years, the rapid development of autonomous driving and intelligent driver assistance has brought about urgent demands on high-precision road maps. However, traditional road map production methods mainly rely on professional survey technologies, such as remote sensing and mobile mapping, which suffer from high costs, object occlusions, and long updating cycles. In the era of ubiquitous mapping, crowdsourced trajectory data offer a new and low-cost data resource for the production and updating of high-precision road maps. Meanwhile, as key nodes in the transportation network, maintaining the currency and integrity of road intersection data is the primary task in enhancing map updates. In this paper, we propose a novel approach for detecting road intersections based on crowdsourced trajectory data by introducing an attention mechanism and modifying the loss function in the YOLOv5 model. The proposed method encompasses two key steps of training data preparation and improved YOLOv5s model construction. Multi-scale training processing is first adopted to prepare a rich and diverse sample dataset, including various kinds and different sizes of road intersections. Particularly to enhance the model’s detection performance, we inserted convolutional attention mechanism modules into the original YOLOv5 and integrated other alternative confidence loss functions and localization loss functions. The experimental results demonstrate that the improved YOLOv5 model achieves detection accuracy, precision, and recall rates as high as 97.46%, 99.57%, and 97.87%, respectively, outperforming other object detection models.

Collaborative Operation Optimization Scheduling Strategy of Electric Vehicle and Steel Plant Considering V2G

With the shortage of fossil fuels and the increasingly serious problem of environmental pollution, low-carbon industrial production technology has become an effective way to reduce industrial carbon emissions. Electrified steel plants based on electronic arc furnaces (EAF) can reduce most carbon emissions compared with traditional steel production methods, but the production steps have fixed electricity consumption behavior, and impact loads are easily generated in the production process, which has an impact on the stability of the power system. EV has the characteristics of a mobile energy storage unit. When a large number of EVs are connected to the power grid, they can be regarded as distributed energy storage units with scheduling flexibility. Through the orderly scheduling of EVs, the spatial–temporal transfer of EV charging and discharging load can be realized. Therefore, the EV situated in the steel plant’s distribution network node has the capacity to be utilized by providing peak shaving and valley filling services for the steel production load. This study proposes an operation optimization scheduling method for EVs and steel plants. Taking the lowest overall operating cost as the objective, an optimal scheduling model considering EVs operation, steel plant, and distributed generator is established. Based on the IEEE-33 node distribution network model considering distributed generators, the proposed model is simulated and analyzed, and the effectiveness of the EV steel plant operation optimization scheduling strategy is investigated.

Design of intelligent agricultural landscape planning and ecological balance control system based on remote sensing images

Abstract With the modernization of agricultural production and the acceleration of urbanization, agricultural landscape planning and ecological balance control have become important issues in promoting sustainable development. Traditional agricultural production methods have problems such as resource waste, environmental pollution, and ecological damage. This article aimed to achieve scientific planning and management of agricultural landscapes, and promote the efficiency of agricultural production, rational utilization of resources, and protection of the ecological environment, thereby promoting sustainable agricultural development. This study first focused on denoising and feature extraction of agricultural remote sensing data images, using remote sensing technology to obtain agricultural landscape information. After that, artificial intelligence was adopted to achieve intelligent agricultural landscape planning, with the goal of maintaining ecological balance and promoting efficient, eco-friendly, and sustainable agricultural production. This study took the landscape of a certain city as an example to test the processing effect of remote sensing images, and it was proved that the effect was good. We tested the performance of an intelligent agricultural landscape planning and ecological balance control system based on remote sensing images. According to the experimental results, it can be concluded that the resource utilization efficiency of farmland A monitored by the intelligent agricultural landscape planning system using remote sensing image technology was 82%, while the traditional one was only 60%. This indicated that the collection effect of remote sensing image technology was much better than that of traditional technology. This article comprehensively and timely monitored and evaluated farmland through remote sensing image technology, including crop growth status, soil moisture, nutritional status, etc. The system can provide precise planting and management suggestions for farmers based on this information, and help them optimize farmland layout, crop selection, and irrigation management, thereby improving the production efficiency of farmland and crop yield.

The Internet Doesn't Exist in the Sky: Literacy, AI, and the Digital Middle Passage

AbstractThis article utilizes speculative and visual storytelling alongside interdisciplinary research on artificial intelligence (AI) and algorithmic oppression to engage in a thought experiment on how literacy studies might refuse the oppressionist logics currently undermining the possibilities of AI in literacy education. As technological advancements in education will only continue to increase and as society is yet to ascertain the parameters of an ethical AI system, it is paramount to analyze the past and present and contemplate potential futures, especially those that do not result in violence against Black and Brown peoples. To engage in speculation, we employ Endarkened Storywork (Toliver, 2022) to present an empirically driven, futuristic, science fiction narrative from two perspectives: (1) a US, Black girl who is forced to participate in AI‐structured secondary schooling and (2) a Black girl in Haiti who is forced to live in a country polluted by technological byproduct. This narrative, which is grounded in academic research and news editorials, is accompanied by comic art and followed by a companion analysis detailing the theoretical backdrop of the story. By utilizing multiple methods of scholarly distribution, we provide multiple entry points for readers to engage with this work. We offer a means for readers to see—via story, art, and scholarship—the potential impacts of AI on Black people globally. Additionally, by situating this article in the creative and scholarly realms, we strategically deconstruct traditional forms and methods of knowledge production that have constrained academic research and rendered invisible alternative forms of data representation.

Sustainable production of multimeric and functional recombinant human adiponectin using genome-edited chickens

BackgroundAdiponectin (ADPN) plays a critical role in endocrine and cardiovascular functions, but traditional production methods, such as Escherichia coli and mammalian systems, have faced challenges in generating sufficiently active middle molecular weight (MMW) and high molecular weight (HMW) forms of recombinant human ADPN (hADPN). In our previous study, we proposed genome-edited chickens as an efficient platform for producing multimeric hADPN. However, the consistency of multimeric hADPN expression in this system across generations had not been further investigated.ResultsIn this study, subsequent generations of ovalbumin (OVA) ADPN knock-in chickens showed stable multimeric hADPN production, yielding ~ 26% HMW ADPN (0.59 mg/mL) per hen. Comparative analysis revealed that egg white (EW)-derived hADPN predominantly consisted of hexameric and HMW forms, similar to serum-derived hADPN. In contrast, hADPN obtained from human embryonic kidney (HEK) 293 and High-Five (Hi-5) cells also exhibited the presence of trimers, indicating variability across different production systems. Furthermore, transcriptional expression analysis of ADPN multimerization-associated endoplasmic reticulum chaperone genes (Ero1-Lα, DsbA-L, ERP44, and PDI) indicated upregulation in the oviduct magnum of ADPN KI hens, suggesting the chicken oviduct magnum as the optimal site for HMW ADPN production. Lastly, the functional analysis demonstrated that EW-derived hADPN significantly reduced lipid droplets and downregulated lipid accumulation-related genes (LOX-1, AT1R, FAS, and FABP4) in human umbilical vein endothelial cells (HUVECs).ConclusionIn summary, stable and functional multimeric hADPN can be produced in genome-edited chickens even after generations. This highlights the potential of using chicken bioreactor for producing various high-value proteins.

Factors and Business Strategies for Making Local Products Successful: Case Study From the Developing Economy

Purpose: This study provides insights into the factors that determine the success of local products, taking the Hai Phong fish sauce industry as a typical example. Theoretical framework: The research team utilized qualitative techniques, focusing on gathering and analyzing secondary data across various developing countries, with a particular emphasis on local product brands in Hai Phong City, Vietnam. Results and discussion: Meticulous consideration of customer preferences and local needs is core to the success and sustainability of local products in highly competitive markets. It is concerned with preserving local culture and heritage as well as promoting ethical and sustainable values, thereby enhancing the overall impact of these products in the regional and global context. bridge. Policy implications recommend creating an enabling environment that encourages using high-quality raw materials and traditional techniques in local product development, and strategic investments in branding and marketing, while ensuring strict compliance with food safety regulations. This study has limitations, mainly related to the focus on Hai Phong fish sauce products, which may limit the generalizability of the findings. Research Implications: Future research should include a broader range of products and local areas. Traditional production methods and craftsmanship are essential in product differentiation, cultural preservation, and consumer loyalty. Furthermore, appropriate packaging and branding are indispensable to attract consumer attention and communicate the value of the product. Marketing and distribution strategies enhance product visibility and consumer engagement. Originality/value: Appropriate packaging and branding are indispensable to attract consumer attention and communicate the value of the product. Marketing and distribution strategies enhance product visibility and consumer engagement.

Comparison of different hydrogen-ammonia energy conversion pathways for renewable energy supply

Hydrogen and ammonia are considered promising energy carriers for renewable energy due to their environmental friendliness and medium- and long-term storage cost advantages. However, a single hydrogen or ammonia energy strategy generally cannot meet the demand, limiting widespread application. Here we consider the whole process of renewable energy generation-transmission-storage-consumption, and propose a hydrogen-ammonia combined operation strategy. Assuming a rated power of 40 MW for generation and 10 MW for demand, we compare five energy conversion pathways: hydrogen or ammonia pipeline transmission, high-voltage alternating current (HVAC) transmission with hydrogen or ammonia storage, and HVAC transmission with hydrogen-ammonia hybrid energy storage. Results indicate that for a transmission distance of 100 km, the most economical pathway is HVAC transmission with hydrogen-ammonia hybrid energy storage, with a net present value (NPV) of 39.31 M$ and a levelized cost of electricity (LCOE) of 0.081 $/kWh. Sensitivity analyses reveal that a 0.01 $/kWh increase in electricity price leads to NPV growths of 11.75–16.02 M$. This pathway achieves zero carbon footprint and saves 4.7 M$ annually in carbon taxes. Compared to traditional production methods, this pathway is equivalent to reducing emissions by 94,189 tons.

A bibliometric and visual analysis of lean manufacturing in medicine from 2009 to 2023

Lean (also referred to as the Toyota Production System, TPS) is considered to be a radical alternative to the traditional method of mass production and batching principles for maximising operational efficiency, quality, speed and cost. Many hospitals inspired from lean manufacturing to develop their process. They had many improvements in their process. Hospitals reduced their patient waiting times, defects, wastes related to inventory, staff movement and patient transportation by implementing. This study utilizes scientometric and bibliometric tools to analyze visually the literature published in the field of medical lean manufacturing from 2009 to 2023. The relevant articles published from 2009 to 2023 were retrieved from the Web of Science Core Collection, VOSviewer and R software were used for bibliometric analysis and visualization. The number of publications related to the research has been increasing year by year before 2021, and then showed a downward trend, including 418 articles from 64 countries and regions, 743 institutions, 198 journals, and 1766 authors. The United States, Italy, and England are the main publishing countries in this research field. The journal “International Journal of Lean Six Sigma” published the most papers (n = 21) about lean manufacturing in medicine, the author with the most publications is Teeling SP, and the most influential author is Improta G. The top three keywords are “Healthcare”, “Quality improvement” and “Management”. This study provides a comprehensive bibliometric analysis of lean manufacturing in medicine, which can help researchers understand the current research hotspots in this field, explore potential research directions, and identify future development trends.

АНАЛІЗ ПРИЧИН ВИНИКНЕННЯ ТА СПОСОБІВ ЗМЕНШЕННЯ ЗАЛИШКОВИХ НАПРУЖЕНЬ ПРИ SLM

Additive manufacturing (hereinafter – en. AM) is a modern set of technologies that make it possible to quickly and qualitatively create products with a unique geometry that are impossible or difficult to produce by traditional production methods. Currently, researchers pay attention to two major areas, namely AM quality systems and the search for new regularities in already well-known materials that were produced in a traditional way. This technology has a number of advantages for the manufacture of aerospace products, but, like all production technologies, this technology has a number of disadvantages and problems. Residual internal stresses are one of the features of metal materials produced by layer-by-layer fusion using SLM technology, but they can significantly affect mechanical properties and geometric parameters. Their presence is especially important for AM materials, which inevitably lead to significant internal stresses. Thus, the issue of reducing the influence of internal stresses requires a fundamental understanding of their influence on the geometric parameters and service characteristics of AM materials.

A Review of Catalysts for Synthesis of Dimethyl Carbonate

Dimethyl carbonate (DMC) is widely used as an intermediate and solvent in the organic chemical industry. In recent years, compared with the traditional DMC production methods (phosgene method, transesterification method), methanol oxidation carbonylation method, gas-phase methyl nitrite method, and the direct synthesis of CO2 and methanol method have made much progress in the synthesis process and development of catalysts. The key to the industrial application of DMC synthesis technology is the design and development of high-performance catalysts. Therefore, this paper reviews the research status of the methanol oxidative carbonylation method, gas-phase methyl nitrite method, and direct synthesis method of CO2 and methanol in the aspects of new catalyst design, catalyst preparation, and catalytic mechanism, and puts forward the problems to be solved and the future development direction of DMC catalysts.

Impact of CO2 emissions on the economy of Vinh Tan 4 Extention Thermal Power Plant

The increasing demand for modern living leads to an increasing demand for energy, including electricity. In Vietnam, the issue of electricity shortage has been addressed in the past five years. However, traditional electricity production methods have serious environmental consequences. While countries around the world are gradually closing down coal-fired power plants and switching to environmentally friendly electricity production, according to Vietnam’s recently issued Power Development Plan VIII, the proportion of coal-fired power plants is projected to account for approximately 31% by 2030 in the base-load scenario and around 28% in the high-load scenario. Vinh Tan 4 Extention Thermal Power Plant is part of Vinh Tan Power Plant Complex and was operated in late 2019. The amount of CO2 emissions has been calculated and the impact of CO2 emissions on economic efficiency and the environmental impact of coal-fired power generation has been assessed. This highlights the importance of transitioning to environmentally friendly electricity production methods in Vietnam. Therefore, it is necessary to calculate the amount of CO2 emissions from the power plant to assess the emission status and propose appropriate energy conversion methods.