Critical Success Factors for Citizen Development

The purpose of the research was to assess the impact of Citizen Development activities on digital transformation. The research identified eight categories that contribute to the success of Low-code No-code (LCNC) projects: 1) Strategy;2) Infrastructure;3) Technology;4) Processes & Procedures;5) Governance;6) Culture;7) People;8) Goals & Metrics and selected six critical success factors from these categories: 1) Operational Efficiency;2) Time Savings;3) Timeframe to Realize Value;4) Employee Engagement;5) Participation;6) Number of Sponsored Ideas. End users of the digital transformation efforts through Citizen Development were asked to assess the six critical success measures in terms of performance and importance criteria. The research results identified that focus should be applied to improving “Timeframe to Realize Value”, on “Operational Efficiency”, and on “Time Savings” to deliver success.

Frederick Henry and Catherine Barkley, Two Code Heroes at Different Development Levels

Hemingway's stature as a writer was confirmed with the publication of A Farewell to Arms. Infact, Hemingway wrote a lot of war stories, but in almost all of his novels, the concept of the"Hemingway Hero"or more popularly the"code hero"is frequently elaborated and vividly exemplified. In the novel"A Farewell to Arms", Frederick Henry and Catherine Barkly are both Hemingway code characters who carry out the code very well and both show their grace under pressure in face of death, misery and disorder.Yet, an indepth study shows that the development levels of the two Hemingway code heroes are not the same.Catherine is the initi-ated, developed, and established code hero while Frederick is a developing code hero who can't be seen as a perfect one until the end of the story. He is to be initiated and tested;we observe his development under the tests.

Development of a subchannel code for blockage accidents of LMFRs based on the 3D fuel rod model

To predict the thermal-hydraulic(T/H)parameters of the reactor core for liquid-metal-cooled fast reactors(LMFRs),especially under flow blockage accidents,we developed a subchannel code called KMC-FB.This code uses a time-dependent,four-equation,singlephase flow model together with a 3D heat conduction model for the fuel rods,which is solved by numerical methods based on the finite difference method with a staggered mesh.Owing to the local effect of the blockage on the flow field,low axial flow,increased forced crossflow,and backflow occur.To more accurately simulate this problem,we implemented a robust and novel solution method.We verified the code with a low-flow(~0.01 m/s)and large-scale blockage case.For the preliminary validation,we compared our results with the experimental data of the NACIE-UP BFPS blockage test and the KIT19ROD blockage test.The results revealed that KMC-FB has sufficient solution accuracy and can be used in future flow blockage analyses for LMFRs.

Developing Projects with Low-code Combined with ChatGPT

This paper aims to explore a simpler and more user-friendly way of generating software based on model-driven development.Previous studies have attempted to generate code from domain models,hoping to reduce coding time by increasing modeling time.However,as code tools become more advanced,it is challenging to improve efficiency because models are abstract while implementations are concrete.This paper proposes a novel approach that integrates ChatGPT as a plug-in into the whole R&D process and combines it with our code generation tool to enhance R&D efficiency.We have developed some demos to demonstrate the effectiveness of our approach.According to our evaluation,our approach can save more than 90%of the work in implementing the code generation tool,leaving only about 10%of the work for code review,code improvement,and unit testing.

GOAT:a simulation code for high-intensity beams

A simulation code,GOAT,is developed to simulate single-bunch intensity-dependent effects and their interplay in the proton ring of the Electron-Ion Collider in China(EicC)project.GOAT is a scalable and portable macroparticle tracking code written in Python and coded by object-oriented programming technology.It allows for transverse and longitudinal tracking,including impedance,space charge effect,electron cloud effect,and beam-beam interaction.In this paper,physical models and numerical approaches for the four types of high-intensity effects,together with the benchmark results obtained through other simulation codes or theories,are presented and discussed.In addition,a numerical application of the cross-talk simulation between the beam-beam interaction and transverse impedance is shown,and a dipole instability is observed below the respective instability threshold.Different mitigation measures implemented in the code are used to suppress the instability.The flexibility,completeness,and advancement demonstrate that GOAT is a powerful tool for beam dynamics studies in the EicC project or other high-intensity accelerators.

The design and selection of indicators of agricultural comprehensive development project performance evaluation system

Integrated Agricultural Development Project is an important part of China＇ s fiscal expenditure. Make a reasonable assessment to Integrated projects for agricultural development, not only can to protect the quality of the project has been implemented, but also has important practical significance for enhancing China＇ s comprehensive agricultural production capacity. In this paper, combined with the present situation of China＇ s comprehensive agricultural development project performance evaluation, proposed the design process of comprehensive agricultural development project performance evaluation system, and analysis of the performance evaluation method selected.

Prospects of Using Low-Code in the Creation of Automated Systems

Ever-changing market conditions and a rapidly changing IT landscape call for fast and cheap ways to meet software demands. In order to tackle these problems, low-code development platforms (LCDPs) have emerged. These platforms are designed with the idea to limit recurring traditional hand-coding and programming. This article provides a theoretical overview of low-code solutions. The advantages and disadvantages of using LCDP in the creation of automated systems are considered. In conclusion, a conclusion is formulated about the prospects of using low-code technology.

低代码开发平台发展现状及标准化研究

当前,低代码开发平台迎来快速发展期,已成为应用软件开发的重要技术趋势。通过对低代码开发平台发展以及标准化现状进行梳理,提炼低代码开发平台的通用能力要求标准,并提出进一步的发展建议,为相关者开展低代码开发平台的开发、采购与使用提供参考。

汉英双语幼儿早期多语码词汇发展个案研究

儿童早期词汇的获得和发展对儿童具有重要意义,研究儿童词汇量增长是早期语言发展研究的一个重要方面。本文追踪了一名汉英双语多语码儿童出生后到两岁之间的普通话、粤语和英语的早期词汇获得,从最初词汇、五十个词的里程碑、词汇爆发和非常规意义匹配四个方面进行研究,结果发现该名儿童的普通话词汇发展与汉语儿童的相似,且词汇语义快速发展的标志为泛化现象明显增加,与情感因素挂钩;粤语和英语词汇发展缓慢,有日趋停止的可能。

.NET下基于PowerDesigner和CodeSmith的软件自动化开发技术

针对当前软件开发效率低下、难以快速适应需求变化等问题,提出一种新的软件自动化开发技术。在一定的约束条件下通过PowerDesigner完成数据库概念模型的设计和物理模型转换,在CodeSmith代码引擎的支持下,通过自定义的模板来实现软件代码的自动生成。有效解决了基于数据库的MIS系统的开发效率和软件质量问题。通过在实际项目中的应用表明,该技术能有效提升软件开发效率,降低开发成本。

意大利蜜蜂工蜂幼虫肠道发育过程中lncRNA的表达谱和调控作用

【目的】解析意大利蜜蜂Apis mellifera ligustica工蜂幼虫肠道发育过程中的长链非编码RNA(long non-coding RNA,lncRNA)差异表达谱,并揭示差异表达lncRNA(differentially expressed lncRNA,DElncRNA)在幼虫肠道发育中的调控作用。【方法】基于前期获得的意大利蜜蜂工蜂4,5和6日龄幼虫肠道转录组数据(分别为Am4,Am5和Am6),利用相关软件筛选Am4 vs Am5比较组和Am5 vs Am6比较组中的DElncRNA,分析DElncRNA和两个比较组中共同上调和下调lncRNA的顺式调控作用及竞争性内源RNA(competing endogenous RNA,ceRNA)的调控作用。通过RT-qPCR验证转录组数据的可靠性。【结果】在Am4 vs Am5比较组中筛选出214条上调和251条下调lncRNA,在Am5 vs Am6比较组中筛选出141条上调和332条下调lncRNA;两个比较组共有的上调和下调lncRNA分别为7和16条。Am4 vs Am5比较组中的DElncRNA潜在调控250个邻近基因,涉及细胞进程等28个GO条目及Wnt信号通路等58条KEGG通路;Am5 vs Am6比较组中的DElncRNA潜在调控295个邻近基因,涉及细胞部分等35个GO条目及FoxO信号通路等73条KEGG通路;上述两个比较组中共有的7个上调lncRNA潜在调控10个邻近基因,涉及1个GO条目及代谢通路、谷胱甘肽代谢和核质转运等7条KEGG通路。共有的16个下调lncRNA潜在调控27个邻近基因,涉及8个GO条目及精氨酸生物合成、谷胱甘肽代谢和代谢通路等13条KEGG通路。此外,Am4 vs Am5比较组中的49条DElncRNA可靶向16个差异表达miRNA(differentially expressed miRNA,DEmiRNA)进而靶向122条差异表达mRNA(differentially expressed mRNA,DEmRNA),可注释到代谢进程等24个GO条目和Wnt信号通路等21条KEGG通路。Am5 vs Am6比较组中的38条DElncRNA可靶向8条DEmiRNA进而靶向67条DEmRNA,可注释到催化活性等21个GO条目和FoxO信号通路等10条KEGG通路;上述两个比较组共有的1条下调lncRNA MSTRG.10589.2可靶向ame-miR-6052和miR-511-y,进而靶向29条DEmRNA。RT-qPCR结果显示随机选取的7条DElncRNA的相对表达量与测序数据一致,证实了所用转录组数据的可靠性。【结论】意大利蜜蜂工蜂幼虫肠道发育过程伴随着lncRNA的动态差异表达,DElncRNA可通过顺式作用和ceRNA网络潜在参与对幼虫肠道发育的调控,在幼虫肠道发育中潜在发挥重要的调控作用。

一种融合注意力机制的形变LSTM智能代码补全方法

代码补全(code completion)通过提供类名和方法名等预测,辅助开发人员编写代码,是自动化软件开发的重要功能之一.近年来,智能代码补全已成为软件工程领域的热门研究方向之一,前人工作表明通过自然语言技术或神经网络学习代码,能够提高代码补全的准确率,但这些补全模型仍存在不足,如代码上下文的信息表示较弱、程序信息提取不全和代码补全任务不平衡.因此,本文提出一种全新的智能代码补全方法,其中引入形变的长短记忆网络(Mogrifier-LSTM)和注意力机制增强代码上下文的信息表示,同时利用双向LSTM学习程序的层次结构信息,并设计一种多任务框架自动实现代码补全任务之间的平衡.通过在真实数据集上进行实验,结果表明本文所提方法表现优于主流代码补全方法.

面向核电厂应急软件的低代码开发平台构建

核应急是核能事业持续健康发展的重要保障。目前从核应急业务需求、性能提升及新技术应用等方面,国内多个核电厂面临核应急业务相关软件更新维护、升级改造等困难。本文基于低代码理念构建的核应急软件开发平台,形成了面向核应急业务软件的基础框架组件、业务逻辑算法开发组件、任务开发组件、监控图开发组件、核应急GIS展示组件、基于深度学习的机组状态诊断及预测组件等,通过可视化组态、图形化组态,以拖拉拽、组态和配置等低代码方式快速实现核应急软件各个业务功能开发,缩短了电厂核应急管理软件的开发周期,提升了软件稳定性及更新维护水平,更好满足核电厂应急响应、监管指标改进等各项需求。

国内语码转换研究回顾与展望:基于VOSviewer和Bibliometrix的文献计量分析

随着全球范围内双语和多语者数量的日益增多,关于双语和多语现象的研究变得愈发重要。语码转换作为其中一个研究主题备受关注,相关理论和应用成果日趋丰盈。文中采用文献计量软件VOSviewer和R语言文献计量工具包Bibliometrix,对1992—2022年间的544篇语码转换研究文献进行可视化分析,以了解该领域的研究现状和发展趋势。研究发现,国内语码转换研究主要从心理语言学、社会语言学以及语言教学三个视角切入。在回顾现有研究的基础上,展望未来可能的研究方向,旨在为该领域的理论研究和实践应用提供参考和借鉴。

文义的边界与文义解释的限度——《民法典》语境下的方法论展开

文字作为信息的传递途径和内容,是认知的起点。法律文本依附于文字,法律规范的意义同样以文字的意义(即文义)为基础。法律适用的过程,即法律解释的过程,始于文义,一定程度上也止于文义。文义有边界,超出文字意义的限度,即超出了法律解释的范围,进入法的续造领域,须借助类推等方式进行法律漏洞填补。文义解释是法律解释的起点,但不是全部,有其限度;即便是文义清晰时,亦应将自罗马法以来的“明白无误规则”仅认定为一项推定规则,仍需结合其他解释方法,尤其是目的解释,来探求规范的“目的”和“意义”。《民法典》解释适用语境下,以解释论为面向,应坚持文义解释的方法论价值,亦应在此基础上超越其“文本”价值本身。

基于Web组态低代码智能联轴器监测系统

泰尔重工现有的联轴器监测系统存在诸多问题,如内容单一、格式僵化、开发成本高等,无法满足用户对监控的定制化需求。基于Web数字组态低代码开发技术,在调研了联轴器设备现有和潜在需求的基础上,对联轴器相关的设备业务逻辑进行统一抽象和封装。从而开发了联轴器相关设备可复用的组件和低代码组件工具箱,并以此为基础为用户开发了可视化IDE,包括拖拽组件和简单Web页面表单配置参数的自定义操作平台,使智能联轴器监测系统的可视化,个性化的定制更加简便。实际使用表明,该平台可为联轴器监控系统提供快速开发平台,满足用户日常提出的自定义扩展开发需求。系统为未来升级提供了灵活性和可扩展性。

航天地面站低代码开发平台方案设计

为了满足新形势下航天地面站快速交付、灵活部署与升级的需求,分析了基于模型的系统工程(Model-based Systems Engineering,MBSE)的航天地面系统模型,设计了一种适用于航天地面系统的低代码开发平台。该平台基于MBSE模型并通过可视化接口来构建包含软件功能、运行流程、数据处理等内容的应用程序。应用低代码软件平台,降低了软件开发的复杂性,满足装备快速升级的需求,研制时间较传统方法缩短了近45%。

基于低代码平台的井筒工艺数据采集系统设计与实现

低代码平台(Low-Code Development Platform,LCDP)是近些年发展起来,敏捷响应企业业务需求迭代发展和支撑企业数字化转型的一项新技术。友好的可视化环境,图形化拖曳式配置操作界面,开发工作的自助化、敏捷化、扁平化,满足了多团队跨地域协作和多种开发形式。越来越多的企业青睐这种无代码或低代码的信息系统开发,既能够敏捷响应业务需求、快速搭建应用系统,又能降低企业开发成本和运维成本。通过低代码平台设计实现基于领域模型驱动的井筒工艺数据采集平台,构建新一代支持云端部署、PC端、移动端等多终端自适应屏幕的应用,弹性伸缩资源调配,提供更稳定、高效的企业级数据采集应用平台,解决数据多系统分散采集、效率低下等问题,为企业数字化转型提供数据要素的支持。

多场景签到系统的设计与实现

为解决会议签到、早晚自习考勤等场景的传统签到方式所面临的效率低、数据统计繁杂等问题,本文设计并实现了一个基于微信小程序的多场景签到系统。该系统采用Spring Boot+Mybatis Flex开发框架,前后端分别采用微信小程序、JDK等开发技术,以及用MySQL8.0存储数据,具备定位签到、手动签到、考勤查询、签到数据统计及导出等功能。

基于知识图谱的铁路工程实体信息表达方法与应用

为解决铁路工程实体在多种标准下的铁路实体单元粒度不一致、语义异构性突出的问题,提出一种基于知识图谱的铁路工程实体信息表达方法并进行了应用场景研究。通过梳理铁路现有标准以及结构化和非结构化数据文档,从铁路桥梁与隧道工程出发,定义了铁路工程实体的本体模型分类体系,并采用自上而下的方式逐步建立知识图谱本体,形成了铁路工程实体集成表达知识图谱的本体层。通过Aho-Corasick等算法建立编码的Jena推理规则库,将EBS(Engineering Breakdown Structure)、IFD(International Framework for Dictionaries)和工程量清单编码与知识图谱本体进行挂接,实现了铁路工程实体的编码映射。在此基础上,搭建Jena-Fuseki服务器与Bentley二次开发插件结合的架构体系,设计了多种功能模块,基于铁路工程实体知识图谱实现了信息抽取与应用。实现了在多源异质性的铁路工程信息模型背景下,基于知识图谱满足铁路工程实体的统一表达和精准映射与应用。