A new production component method for natural gas development planning

Based on an analysis of the limitations of conventional production component methods for natural gas development planning,this study proposes a new one that uses life cycle models for the trend fitting and prediction of production.In this new method,the annual production of old and new wells is predicted by year first and then is summed up to yield the production for the planning period.It shows that the changes in the production of old wells in old blocks can be fitted and predicted using the vapor pressure model(VPM),with precision of 80%e95%,which is 6.6%e13.2%higher than that of other life cycle models.Furthermore,a new production prediction process and method for new wells have been established based on this life cycle model to predict the production of medium-to-shallow gas reservoirs in western Sichuan Basin,with predication error of production rate in 2021 and 2022 being 6%and 3%respectively.The new method can be used to guide the medium-and long-term planning or annual scheme preparation for gas development.It is also applicable to planning for large single gas blocks that require continuous infill drilling and adjustment to improve gas recovery.

An Analysis of Digital Finance in Promoting the Development of New Quality Productivity

As a product of the deep integration of financial technology and the digital economy,digital finance plays a significant role in promoting the development of new quality productivity.This paper first elaborates on the connotations of new quality productivity and digital finance and analyzes the mechanisms by which digital finance promotes the development of new quality productivity from both theoretical and practical perspectives.The aim is to explore the value digital finance brings to the development of new quality productivity,along with the challenges it faces,in order to propose corresponding policy recommendations.

An Analysis of Innovative Contributions to the Important Discourse on the Development of New Quality Productivity

The discourse on developing high-quality productivity marks a significant theoretical innovation,which is conducive to the modernization and sinicization of Marxism.It refines our understanding of“new quality productivity,”defining it as an advanced form driven by innovation,embodying“high technology,efficiency,and quality,”with the aim of comprehensively enhancing productivity.It elucidates the necessity of cultivating such forces,asserting that they are crucial for achieving high-quality development,securing a leading position in global technology,and fulfilling the aspirations for a better life.Moreover,it outlines a new implementation route,emphasizing strategies such as fostering technological autonomy,nurturing emerging industries,integrating education and talent in technology,adopting a“build through challenges”approach,adjusting solutions locally,and providing categorized guidance,all of which are based on the ongoing comprehensive reforms.

Research on Key Points of Design of Standard Plants in Modern Industrial Parks Under the Background of Promoting the Development of New Quality Productive Forces

With the progress of science and technology and the acceleration of industrialization,the modern industrial park is an important carrier of industrial development.The importance of its standard plant design has become increasingly prominent.With the development of new quality productive forces as the background,this research deeply discusses the key points of standard plant design in modern industrial parks.This paper uses literature review and case analysis to systematically analyze the important role of standard plant design in developing new quality productive forces in modern industrial parks and puts forward suggestions for optimizing design.It is found that the rationality,intelligence,and environmental protection of plant design are the key factors affecting the development of new quality productive forces.The paper summarizes the core points of modern industrial park standard plant design to provide a reference for the future development of related industries.

Investigation Into the Market-Orientated New Product Development Performance

The effect that the market orientation brings to product innovation performance is reported and the degree of product innovativeness is explored. The interdepartmental integration inside the company is also investigated. A series of hypotheses were developed aiming at presenting a conceptual framework to clarify how market orientation contributes to product innovation performance-moderated by the degree of product innovativeness and affected by the interdepartmental integration. Survey data from 36 business units were analyzed based on the respondents in the research. The statistic results suggest a substantial positive effect of market orientation on product innovation performance. Under the condition of incremental innovativeness among the samples, the more innovative the product is, the more improvements in product innovation performance would be achieved. A variety of particular interdepartmental integration mechanisms have been certified to lend more supports to establishing market orientation and improving product innovation performance.

Impact of the synergy between technology management and technological capability on new product development:a system dynamics approach

This paper employs system dynamics to explore how the synergy between technology management and technological capability affects new product development.The results show that the synergy between technology management and technological capability has positive impact on new product development.Moreover, the leading synergy processes between technology management and technological capability in different new product development stages are different.This paper deepens the theoretical understanding of how to achieve new product development, and also provides useful guidance for firms to implement new product development.

Exploring Barriers and Opportunities in Adopting Crowdsourcing Based New Product Development in Manufacturing SMEs

Crowdsourcing is an innovative business practice of obtaining needed services, ideas, or content or even funds by soliciting contributions from a large group of people （the ＇Crowd＇）. The potential benefits of utilizing crowdsourcing in product design are well-documented, but little research exists on what are the barriers and opportunities in adopting crowdsourcing in new product development （NPD） of manufacturing SMEs. In order to answer the above questions, a Proof of Market study is carried out on crowdsourcing-based product design under an Innovate UK funded Smart project, which aims at identifying the needs, challenges and future development opportunities associated with adopting crowdsourcing strategies for NPD. The research findings from this study are reported here and can be used to guide future development of crowdsourcing-based collaborative design methods and tools and provide some practical references for industry to adopt this new and emerging collaborative design method in their business.

Quality and origin of mountain food products: the new European label as a strategy for sustainable development

Mountain farming provides high-quality food products due to the peculiar characteristics of the raw materials combined with traditional processing conditions. However, these products and their intrinsic characteristics are not clearly recognized by consumers on the market. Nowadays, Protected Designation of Origin(PDO), Protected Geographical Indication(PGI) and Traditional Specialities Guaranteed(TSG) certifications include products originating in mountain areas, even if a large part of mountain foodstuff is not protected by these certifications and foods not made in mountain areas are often labeled as ―mountain food products‖. For this reason, the European Union has set a specific Regulation in 2012 to recognize and protect mountain food and to make the consumers safer about the origin information. The objective of this paper is twofold: firstly, it presents the recent aspects related to European legislation of mountain food product; secondly, it aims at reviewing the main features of nutritional quality and technology of dairy and meat products, as the most widespread mountain food products, and the main protocols used to evaluate the authenticity of these food products. The promotion of mountain food product through a specific label and the use of tracing methods, which are able to verify the authenticity of the origin of these products, may play a pivotal role in increasing the consumer‘s loyalty towards these products and could be a way to boost a sustainable development of these economically marginal rural areas. However, the analytical protocols developed so far(stable isotopes, macro and microelements, radionuclides, spectroscopic, molecular techniques, volatile substances profile, terpenes) are in many cases still at the experimental level due to the extreme variability of the mountain origin of the products to be tested.

Analyzing topics in social media for improving digital twinning based product development

Digital twinning enables manufacturers to create digital representations of physical entities,thus implementing virtual simulations for product development.Previous efforts of digital twinning neglect the decisive consumer feedback in product development stages,failing to cover the gap between physical and digital spaces.This work mines real-world consumer feedbacks through social media topics,which is significant to product development.We specifically analyze the prevalent time of a product topic,giving an insight into both consumer attention and the widely-discussed time of a product.The primary body of current studies regards the prevalent time prediction as an accompanying task or assumes the existence of a preset distribution.Therefore,these proposed solutions are either biased in focused objectives and underlying patterns or weak in the capability of generalization towards diverse topics.To this end,this work combines deep learning and survival analysis to predict the prevalent time of topics.We propose a specialized deep survival model which consists of two modules.The first module enriches input covariates by incorporating latent features of the time-varying text,and the second module fully captures the temporal pattern of a rumor by a recurrent network structure.Moreover,a specific loss function different from regular survival models is proposed to achieve a more reasonable prediction.Extensive experiments on real-world datasets demonstrate that our model significantly outperforms the state-of-the-art methods.

New food sources and production systems:a comparison of international regulations and China’s advancements in novel foods with synthetic biology

The global shift towards sustainable food systems has sparked innovations in food sources and production systems,including cell-based meat,plant-based food products,precision fermentation,and 3D food printing.These advancements pose regulatory challenges and opportunities,with China emerging as a critical player in adopting and regulating new food technologies.This review explores the international landscape of new food sources and production systems(NFPS),focusing on China’s role and regulatory approaches compared to global practices.Through this comparative analysis,we aim to contribute to the ongoing dialogue on food safety regulation,offering insights and recommendations for policymakers,industry stakeholders,and researchers engaged in the global food system’s evolution.This comprehensive overview underscores the dynamic nature of regulatory frameworks governing NFPS,highlighting the international efforts to ensure food safety,consumer protection,and the sustainable evolution of the food industry.

Development of a Functional Food Snack Product Utilizing Underexplored and Underutilized Ingredients: Spirulina Microalgae and Bilberry

Spirulina, a protein-rich cyanobacterium, and Bilberry, a dark berry, have the potential to be used as functional food ingredients in the food industry. These two underexplored and underutilized ingredients were used to develop an adolescent-friendly functional snack food product in the light of food industry trends. Stages of product development, shelf life/physiochemical analysis (texture, pH, color, and water activity) and sensory evaluation were utilized in developing a functional snack mini muffin containing Spirulina and Bilberry. Aqueous (AQ) and 80% ethanol (ET) extracts of mini muffin formulations (chocolate, 1% Spirulina (S) + 4% Bilberry (B), 2% Spirulina (S) + 8% Bilberry (B)) were prepared using a standard protocol. Antioxidant potential was determined using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and Ferric Reducing Antioxidant Potential (FRAP) assays. Utilizing a 5-point hedonic scale (1—Dislike very much, 2—Dislike a little, 3—Neither like nor dislike, 4—Like a little, 5—Like very much), 3 mini muffin formulations (chocolate, 1% S + 4% B, 2% S +8% B), were tested among consumer panelists, with 1% S + 4% B being the most acceptable based on taste, texture, color, aroma, appearance, etc. Texture (post-peak (N) of the mini muffin did not vary between chocolate and 1 S% + 4% B formulations;however, 2% S + 8% B was 1.09 times higher compared to its counterparts. pH, color, and water activity remained constant over the 9-day shelf-life period. The Spirulina and Bilberry muffins developed exhibited antioxidant activities (highest in 2% S + 8% B), and were accepted by the sensory panelists for color, taste, mouthfeel, and aroma (panelists preferred 1% S + 4% B).

Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development

With the projected global surge in hydrogen demand, driven by increasing applications and the imperative for low-emission hydrogen, the integration of machine learning(ML) across the hydrogen energy value chain is a compelling avenue. This review uniquely focuses on harnessing the synergy between ML and computational modeling(CM) or optimization tools, as well as integrating multiple ML techniques with CM, for the synthesis of diverse hydrogen evolution reaction(HER) catalysts and various hydrogen production processes(HPPs). Furthermore, this review addresses a notable gap in the literature by offering insights, analyzing challenges, and identifying research prospects and opportunities for sustainable hydrogen production. While the literature reflects a promising landscape for ML applications in hydrogen energy domains, transitioning AI-based algorithms from controlled environments to real-world applications poses significant challenges. Hence, this comprehensive review delves into the technical,practical, and ethical considerations associated with the application of ML in HER catalyst development and HPP optimization. Overall, this review provides guidance for unlocking the transformative potential of ML in enhancing prediction efficiency and sustainability in the hydrogen production sector.

Leveraging Robust Artificial Intelligence for Mechatronic Product Development—A Literature Review

Mechatronic product development is a complex and multidisciplinary field that encompasses various domains, including, among others, mechanical engineering, electrical engineering, control theory and software engineering. The integration of artificial intelligence technologies is revolutionizing this domain, offering opportunities to enhance design processes, optimize performance, and leverage vast amounts of knowledge. However, human expertise remains essential in contextualizing information, considering trade-offs, and ensuring ethical and societal implications are taken into account. This paper therefore explores the existing literature regarding the application of artificial intelligence as a comprehensive database, decision support system, and modeling tool in mechatronic product development. It analyzes the benefits of artificial intelligence in enabling domain linking, replacing human expert knowledge, improving prediction quality, and enhancing intelligent control systems. For this purpose, a consideration of the V-cycle takes place, a standard in mechatronic product development. Along this, an initial assessment of the AI potential is shown and important categories of AI support are formed. This is followed by an examination of the literature with regard to these aspects. As a result, the integration of artificial intelligence in mechatronic product development opens new possibilities and transforms the way innovative mechatronic systems are conceived, designed, and deployed. However, the approaches are only taking place selectively, and a holistic view of the development processes and the potential for robust and context-sensitive artificial intelligence along them is still needed.

Analysis on the Development Model of Relic and Museum Tourism Products Based on ERP Analysis:A Case Study on Shandong Province

In recent years, the trend of people choosing relic and museum tourism during their vacationand leisure time is growing day by day, mainly because it touches people's feelings about historical relicsand cultural heritage. The development of relic and museum tourism products is not only the inheritanceof culture and the protection of cultural relics, but also the promotion of tourism consumption under thebackground of cultural tourism integration, which has promoted the development of regional economy.With the relic and museum tourism resources in Shandong Province as the research object, through theanalysis of its resources, market and products, this paper put forward three applicable modes of relic andmuseum tourism product development, including independent development, joint development, and artauthorization, and proposed specific suggestions around the three modes.

Generation Mechanism and Social Impact of Knowledge in the Era of"New Quality Productivity"

The changes in knowledge forms in the era of"new quality productivity"are closely related to the development of society.With the rise of the Internet,"the world of dataism is coming".The traditional knowledge production model is undergoing fundamental changes in structure and nature.The most prominent change is that knowledge is becoming increasingly inseparable from data networks.The collaborative production of knowledge based on the Internet is becoming increasingly common,and Wikipedia is a prominent example of this.Wikipedia makes the networked production of knowledge possible by utilizing collective intelligence and data connectivity.Wiki users are commonly referred to as"wiki".This paper conducted interviews with 30 Wiki users and used content analysis to statistically analyze the interview records,in order to study the significance and value of the Wiki knowledge production model for online users,and to glimpse the impact of the knowledge structure changes in the era of"dataism"on social change.

Measurement and Strategy Research on the Green Development Level for the New Energy Vehicle Industry in Chongqing City

This article takes 2016-2022 as the inspection period to construct an evaluation index system for the green development level of the new energy vehicle industry.The entropy method and comprehensive index are used to measure the green development level of the new energy vehicle industry in Chongqing,and compared with neighboring provinces such as Yunnan,Guizhou,and Sichuan.Policy recommendations are proposed to promote the development of the new energy vehicle industry in Chongqing City.

Professional Development of County-level Physical Education Teachers from the Perspective of the New Curriculum Standards:A Case Study of Huaiji County

Using methods such as questionnaire survey and literature review,a survey was conducted on the professional development of physical education teachers in Huaiji County under the background of the new curriculum standards.The research results found that physical education teachers in Huaiji County have a relatively good distribution structure in terms of teaching experience,age,and education level,but the gender ratio and professional title ratio need to be improved.In terms of professional competence,teachers have shown good performance in teaching implementation ability,but there is still room for improvement in teaching design ability.A certain proportion of teachers still express dissatisfaction with professional title promotion,hardware configuration satisfaction,salary and benefits,and school reward mechanisms.Based on this,this study proposes some measures to improve the professional development level of county-level physical education teachers,such as enhancing teachers teaching design and implementation abilities,strengthening the cultivation of technical action demonstration abilities,improving hardware configuration satisfaction and teaching effectiveness reflection level,strengthening guidance and support for teachers professional development,and enhancing the promotion and implementation of post employment training.

International Perspective of Understanding the New Quality Productive Forces

Developing the new quality productive forces is an inherent requirement and an important focus for promoting high-quality development. However, it is not enough to understand the whole picture merely from a domestic perspective. The concept of new quality productive forces was put forward due to the changes in the international environment, including the emergence of anti-globalization trends and the economic policies of some major economies that are less open than before. With the changes in the global economic concept, China's economic development needs its innovative theory. As the world's second-largest economy, China is committed to the development of new quality productive forces and will make significant contributions to global development. In theory, it shows direction for the development of new quality productive forces on a global scale. In practice, it provides experiences for other economies to develop new quality productive forces. It also helps address the common challenges facing global development. The competition between major countries in traditional fields will continue, but in the case of the development of new quality productive forces, it will show some new characteristics. It will be more reflected in the field of strategic emerging industries, the confrontation risk in major country rivalry will be reduced, and strategic planning and design will become more important.

Effective decision-making model for hi-tech new product development

In order to identify the effective decision-making factors at the individual NPD project manager level, a new effective decision-making model has been established by introducing the concept of decision-making effectiveness, analyzing the role of expertise, and identifying the major role of expertise and insight with respect to the interfaces between a new product, an organization, customers, technologies and regulations, for the study of the effective decision-making facilitators and inhibitors for a NPD project. The analysis of the unique task conditions for individual decision-makers shows that perceived complexity, uncertainty and time pressure have their negative effect on the effective decision-making process. It is concluded that the flexible, balanced and appropriate use of rational analysis, common sense and intuition is a key effective decision-making factor, and the psychologically ‘active attitude’ of a manager is also an important factor for successful dealing with the difficult task conditions.

Selection Model of Optional Parts in Suppliers Involved in New Product Development

Quality function deployment (QFD),which can translate efficiently customer requirement (CRs) into technical attributes (TAs),is widely used in new product development (NPD) as an efficient customer-driven approach. After lots of QFD application is applied in manufacturing fields,it was proved that without considering suppliers involved,it is difficult to get precise and satisfying results in each process of QFD,particularly part deployment. The paper will address the issues of a model of optional parts selection in suppliers involved in part deployment process. Further,it has been applied to an ERP system reconstruction and updating problem as an illustration.