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.

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.

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).

Shale oil development techniques and application based on ternary-element storage and flow concept in Jiyang Depression,Bohai Bay Basin,East China

The ternary-element storage and flow concept for shale oil reservoirs in Jiyang Depression of Bohai Bay Basin,East China,was proposed based on the data of more than 10000 m cores and the production of more than 60 horizontal wells.The synergy of three elements(storage,fracture and pressure)contributes to the enrichment and high production of shale oil in Jiyang Depression.The storage element controls the enrichment of shale oil;specifically,the presence of inorganic pores and fractures,as well as laminae of lime-mud rocks,in the saline lake basin,is conducive to the storage of shale oil,and the high hydrocarbon generating capacity and free hydrocarbon content are the material basis for high production.The fracture element controls the shale oil flow;specifically,natural fractures act as flow channels for shale oil to migrate and accumulate,and induced fractures communicate natural fractures to form complex fracture network,which is fundamental to high production.The pressure element controls the high and stable production of shale oil;specifically,the high formation pressure provides the drive force for the migration and accumulation of hydrocarbons,and fracturing stimulation significantly increases the elastic energy of rock and fluid,improves the imbibition replacement of oil in the pores/fractures,and reduces the stress sensitivity,guaranteeing the stable production of shale oil for a long time.Based on the ternary-element storage and flow concept,a 3D development technology was formed,with the core techniques of 3D well pattern optimization,3D balanced fracturing,and full-cycle optimization of adjustment and control.This technology effectively guides the production and provides a support to the large-scale beneficial development of shale oil in Jiyang Depression.

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.

Optimized electrochemical ammonia production:From metal-N_(2)/NO_(x) batteries to aqueous metal-NO_(x)^(–) batteries

Ammonia plays a crucial role in contemporary society,impacting medicine,agriculture,and the chemical industry.The conventional industrial synthesis of NH_(3) through the Haber-Bosch technique,carried out under severe reaction conditions,leads to substantial energy consumption and environmental pollution.It is thus imperative for NH_(3) synthesis methods to be investigated under more favorable conditions.Synthesis of ammonia by electrocatalysis can effectively reduce the environmental damage and other urgent problems,which is a promising solution.Metal-nitrogen series batteries(M-N batteries),such as metal-nitrogen gas batteries,metal-nitrogen oxide batteries and metal-oxynitride batteries have been regarded recently as an exemplar of concurrent NH_(3) synthesis and energy production.Nonetheless,the large-scale application of these batteries is still limited by numerous challenges are currently existing in building high-efficiency M-N batteries,including poor Faradic efficiency and low NH_(3) yield.Therefore,a comprehensive overview of M-N batteries is offered,specifically focusing on advanced strategies for designing highly efficient cathode catalysts in anticipation of future developments.The metal anodes,cathodic electro-reduction reactions,and design principles are encompassed in the discussion,offering detailed insights to enhance understanding.Mechanisms,feasibility analyses,technoeconomic assessments,device combinations,and comparative evaluations are delved into in the review,contributing to a thorough comprehension of diverse systems and their application potential.Perspectives and opportunities for future research directions are also delineated.

Linking Competitors’ Knowledge and Developing Innovative Products Using Data Mining Techniques

In this article, the relationship between the knowledge of competitors and the development of new products in the field of capital medical equipment has been investigated. In order to identify the criteria for measuring competitors’ knowledge and developing new capital medical equipment products, marketing experts were interviewed and then a researcher-made questionnaire was compiled and distributed among the statistical sample of the research. Also, in order to achieve the goals of the research, a questionnaire among 100 members of the statistical community was selected, distributed and collected. To analyze the gathered data, the structural equation modeling (SEM) method was used in the SMART PLS 2 software to estimate the model and then the K-MEAN approach was used to cluster the capital medical equipment market based on the knowledge of actual and potential competitors. The results have shown that the knowledge of potential and actual competitors has a positive and significant effect on the development of new products in the capital medical equipment market. From the point of view of the knowledge of actual competitors, the market of “MRI”, “Ultrasound” and “SPECT” is grouped in the low knowledge cluster;“Pet MRI”, “CT Scan”, “Mammography”, “Radiography, Fluoroscopy and CRM”, “Pet CT”, “SPECT CT” and “Gamma Camera” markets are clustered in the medium knowledge. Finally, “Angiography” and “CBCT” markets are located in the knowledge cluster. From the perspective of knowledge of potential competitors, the market of “angiography”, “mammography”, “SPECT” and “SPECT CT” in the low knowledge cluster, “CT scan”, “radiography, fluoroscopy and CRM”, “pet CT”, “CBCT” markets in the medium knowledge cluster and “MRI”, “pet MRI”, “ultrasound” and “gamma camera” markets in the high knowledge cluster are located.

Developing Market With Hi-Tech Products

The Suzhou Medical Appliances Factory is currently the sole factory specializing in the production of ocular medical appliances. Products of the factory include ocular operational apparatus; optical diagnostic apparatus, electronic treatment instruments, artificial crystals in 4 categories, 150 species and 450 specifications.

企业数字化转型是否赋能企业新质生产力发展--基于中国上市企业的微观证据

习近平总书记提出新质生产力这一概念,对我国经济高质量发展和中国式现代化具有重大战略意义。本文基于2010-2022年中国A股上市公司数据,探讨了企业数字化转型对新质生产力的影响效应。研究发现,企业数字化转型显著促进了企业的新质生产力发展。机制分析表明,企业数字化转型对于企业新质生产力的促进主要通过发挥科技创新效应和缓解融资约束来发挥作用。异质性分析发现,在私有企业、普通污染企业以及高科技企业之中,企业数字化转型对企业新质生产力的促进作用更加显著。本文丰富了企业数字化转型的经济效应研究,为企业可持续发展提供了一定的理论参考。

Production Performance and Development Strategies of Double-cropping Rice in Hunan Province

ln the research, an empirical analysis was performed on production per-formance and influential factors of rice in Changsha County and Liling City. The re-sults showed that production scale has been closely linked to age and education level of farmers. The larger scale, the higher comprehensive performance, but rele-vant efficiency tends to be lower. Sowing area and yield per unit area are major in-fluential factors of production performance of double-cropping rice, but the rest influ-ential factors are different upon production scale. Final y, developmental strategies are proposed for development of double-cropping rice.

吉林油田CCUS-EOR技术攻关与实践新进展

CO_(2)捕集、埋存与提高原油采收率(CCUS-EOR)技术可大幅度提高原油采收率并实现CO_(2)有效埋存,同时兼具减碳、增油两大功能,是落实“双碳”战略和保障能源安全的重要技术手段。中国石油高度关注CO_(2)资源化利用问题,在系统研究原始油藏、中高含水、高含水及特高含水油藏CO_(2)驱油机理与埋存潜力的基础上,研发了关键技术和工艺装备,形成了集CO_(2)捕集、输送、注入、采出、驱油、埋存、防腐等为主体的CCUS-EOR全产业链一体化技术体系,并率先在中国石油吉林油田开展了CO_(2)捕集埋存与提高采收率矿场实践。研究结果表明:①矿场试验证实CO_(2)驱油可提高采收率20%以上,现已累计注入CO_(2)达320×10^(4) t;②矿场实践系统揭示了陆相低渗透油藏CO_(2)驱油与埋存规律,验证了CO_(2)捕集输送、注入采出、驱油埋存与循环利用全流程技术的适应性,实现了CCUS-EOR减排增效一体化。结论认为:①吉林油田建成了国内首个全产业链、全流程CO_(2)捕集、驱油、埋存与循环利用示范工程,实现了陆相沉积低渗透油藏CO_(2)驱油采收率的大幅提高和CO_(2)的安全埋存;②系统总结了吉林油田近年来在CCUS-EOR方面的最新研究进展和矿场实践认识,指明了油气田CCUS-EOR应用前景,并提出了以新质生产力推动相关企业产业化发展的具体建议。

增值税减税能否提高制造业企业全要素生产率?--基于增值税税率下调事件的经验研究

深化税制改革是激发市场主体活力、加快制造业转型、实现经济高质量发展的重要路径。基于2016—2020年中国沪深A股上市公司数据,研究了2018年和2019年增值税税率下调对制造业企业全要素生产率的影响。研究发现,增值税减税提高了制造业企业的全要素生产率。异质性分析结果显示,对于市场竞争地位高、国有产权、处于成熟期以及高市场化地区的企业而言,增值税减税对全要素生产率的提升效应显著。渠道分析表明,研发投入、人力资本投入以及资本配置效率是增值税减税影响企业全要素生产率的主要渠道。因此,政府部门应继续深化增值税改革,缩小制造业与其他行业的税率差异,切实减轻制造业企业税收负担,同时应加大对民营、初创等弱势企业的财政扶持力度,全面提高各类企业的全要素生产率。

Inside-Out & Outside-In:图书馆服务社会高质量发展的组合模型

Library-Inside作为AI赋能下发展图书馆新质生产力的一种基础模型,可以看成是一种Inside-Out机制,将“图书馆作为一种服务”嵌入到用户场景中来提供知识服务,而图书馆的Outside-In机制,则将所在机构或区域的知识相关的需求、活动、资源和服务组织进图书馆这个载体,促使图书馆从单纯的知识系统向积极的开放的集成的能力生态系统发展。Inside-Out和Outside-In组合模型能充分利用AI赋能和机构赋能,促进图书馆培育服务社会高质量发展的新质生产力。

营商环境、企业创新与新质生产力--基于省级面板数据的实证分析

营造市场化、法治化和国际化一流的营商环境,对提升各地企业创新水平,发展新质生产力具有重要作用。基于我国东北三省(黑龙江、吉林和辽宁)、京津冀(北京、天津和河北)与长三角地区(江苏、浙江、安徽和上海)2017—2021年期间的制造业统计数据进行实证分析,研究发现:三大区域在营商环境优化水平和企业创新水平上存在较大差异;政务环境、产业环境、人才环境和生态环境优化有助于提高企业创新绩效,进而促进新质生产力水平提高;营商环境优化对降低融资约束、增强企业信息透明度具有重要作用。

因地制宜发展新质生产力的现实依据与实施路径--来自西部地区九大城市群的经验证据

党的二十届三中全会通过决定--《中共中央关于进一步全面深化改革推进中国式现代化的决定》,强调要健全因地制宜发展新质生产力体制机制。作为新形势下中国经济实现高质量发展的重大部署和重要抓手,发展新质生产力绝不能出现各地区一哄而上、产业雷同和恶性竞争的局面,相反,需要结合地方自然资源禀赋、地理生态环境、人口教育水平、数字基础设施、创新研发能力等因素探寻比较优势和合适路径。西部地区作为国家安全与长远发展的重要基础,在中国式现代化进程中发展相对滞后,影响着中国经济高质量发展的总体水平。成渝、呼包鄂榆、北部湾、关中、滇中、兰西、宁夏沿黄、黔中和天山北坡等九大城市群是我国西部地区发展的重要动力源,也是西部地区抢抓新质生产力发展机遇的高地。文章基于2012—2022年中国西部地区城市面板数据,从科技生产力、绿色生产力和数字生产力三个维度构建综合评价指标体系,采用熵值法测算西部地区九大城市群新质生产力发展水平及各维度指数得分,并运用Dagum基尼系数法、核密度估计法、马尔科夫转移概率矩阵、σ收敛模型和β收敛模型考察了西部地区城市群新质生产力发展水平的时空特征、差异来源、演进规律及收敛机制。研究发现,整体而言西部地区城市群新质生产力发展水平呈现逐年增长态势,但总体水平偏低且表现出明显的梯度差异;并且存在着科技生产力水平最高、数字生产力水平次之、绿色生产力水平居末位的结构分解特征。在相对差异方面,西部城市群新质生产力发展水平的总体差异较为显著,其中超变密度和区域间差异是城市群区域差异的主要来源。在绝对差异方面,西部城市群的新质生产力发展水平的空间差异具有进一步扩大的趋势,并且存在“俱乐部趋同”现象和一定程度的“马太效应”。在收敛特征方面,短期来看西部地区的新质生产力水平差距尚未缩小,但长期来看存在绝对β收敛和条件β收敛趋势,即西部城市群新质生产力水平将在长期收敛到稳态水平。因此,西部地区在培育和发展新质生产力的进程中,既要因地制宜挖掘特色优势,又要统筹合作推进协调发展。

Nε-(carboxymethyl)lysine promotes lipid uptake of macrophage via cluster of differentiation 36 and receptor for advanced glycation end products

BACKGROUND Advanced glycation end products(AGEs)are diabetic metabolic toxic products that cannot be ignored.Nε-(carboxymethyl)lysine(CML),a component of AGEs,could increase macrophage lipid uptake,promote foam cell formation,and thereby accelerate atherosclerosis.The receptor for AGEs(RAGE)and cluster of differentiation 36(CD36)were the receptors of CML.However,it is still unknown whether RAGE and CD36 play key roles in CML-promoted lipid uptake.AIM Our study aimed to explore the role of RAGE and CD36 in CML-induced macrophage lipid uptake.METHODS In this study,we examined the effect of CML on lipid uptake by Raw264.7 macrophages.After adding 10 mmol/L CML,the lipid accumulation in macrophages was confirmed by oil red O staining.Expression changes of CD36 and RAGE were detected with immunoblotting and quantitative real-time polymerase chain reaction.The interaction between CML with CD36 and RAGE was verified by immunoprecipitation.We synthesized a novel N-succinimidyl-4-18Ffluorobenzoate-CML radioactive probe.Radioactive receptor-ligand binding assays were performed to test the binding affinity between CML with CD36 and RAGE.The effects of blocking CD36 or RAGE on CML-promoting lipid uptake were also detected.RESULTS The study revealed that CML significantly promoted lipid uptake by macrophages.Immunoprecipitation and radioactive receptor-ligand binding assays indicated that CML could specifically bind to both CD36 and RAGE.CML had a higher affinity for CD36 than RAGE.ARG82,ASN71,and THR70 were the potential interacting amino acids that CD36 binds to CML Anti-CD36 and anti-RAGE could block the uptake of CML by macrophages.The lipid uptake promotion effect of CML was significantly attenuated after blocking CD36 or RAGE.CONCLUSION Our results suggest that the binding of CML with CD36 and RAGE promotes macrophage lipid uptake.

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.

Production evolution patterns and development stage division of waterflooding oilfields

The continuous growth of recoverable reserves in a waterflooding oilfield has a significant impact on the patterns of production evolution. A new production evolution model is established by improving the Weng Cycle model. With the new model, the statistical correspondence between the production decline stage and the reserve-production imbalance is clarified,and the correlation of water cut with the recovery percent of recoverable reserves is discussed, providing quantitative basis of reservoir engineering for dividing development stages of oilfield and defining mature oilfields. According to the statistics of oilfields in eastern China, the time point corresponding to the reserve-production balance coefficient dropping to less than 1dramatically is well correlated the beginning point of production decline, thus the time when the reserve-production balance coefficient drops dramatically can be taken as the initiation point of production decline stage. The research results show that the water cut and the recovery percent of recoverable reserves have a good statistical match in the high water cut stage, and it is more rational to take both the start point of production decline stage and the water cut of 90%(or the recovery percent of recoverable reserves of 80%) as the critical criteria for defining a mature oilfield. Five production evolution patterns can be summarized as follows: growth–peak plateau–stepped decline, growth–stepped stabilizing–stepped decline, growth–stepped stabilizing–rapid decline, growth–peak plateau–rapid decline, and growth–continuous decline.

Effects of financial development and capital accumulation on labor productivity in sub‑Saharan Africa:new insight from cross sectional autoregressive lag approach

This study aims to shed light on the effects of financial development and accumula-tion of capital on the productivity of labor in the sub-Sahara African region within the period of 1990–2018.In this work,we used the(dynamic)common correlated effects estimator-mean group and additional techniques such as cross-section autoregressive distributed lag to calibrate the sample into the African subregion to ensure robustness.The findings reveal that financial progress in the region over time leads to an increase in productivity of labor and also the accumulation of capital.Furthermore,financial markets have a progressive impact on the productivity of labor within sub-Saharan African regions.We extend the very limited literature on the nexus between financial development and labor productivity by incorporating capital accumulation into our model which has not been previously studied.