Problems and Countermeasures in the Training of Master of Translation and Interpreting Talents in the Context of Technological Empowerment

This paper aims to explore the problems and countermeasures in the training of Master of Translation and Interpreting(MTI)talents in the context of technological empowerment.Through methods such as questionnaires and literature review,the study analyzes the problems in the training of MTI talents under technological empowerment and,by examining the feasibility and applicability of technologies,proposes countermeasures to these problems.The research finds that there are still problems in four areas:training concept,teaching content,research in the current training of MTI talents,and mutual empowerment of technology and education.Four countermeasures are suggested to address these problems,including utilizing technology to promote personalized training and optimize teaching content.This study provides valuable references for future educators to leverage technology in the training of MTI talents.

The HINT ProjectmExploring the Use of New Technologies in Heritage Interpretation

The HINT project is a four-country collective of Global heritage interpretation. HINT is a two-year project part funded Geoparks researching the uses and benefits of new technologies in by the European Leader Programme. The partners are Geopark Shetland （Scotland）, Chablais Geopark （France）, North Pennines Area of Outstanding Natural Beauty （England） and Geopark de Hondsrug （The Netherlands）. Each partner has developed a pilot project to investigate the practicalities of interpreting and communicating heritage, especially geological heritage, using a particular technology. An overview of each of the four pilot projects is given. The overall aim of the pilot projects is to develop best practice in using new technologies for heritage interpretation and to share information and ideas within the project partnership and with geoparks and heritage organizations around the world. This paper, developed by the HINT partners, aims to give an insight into the practical process of developing interpretive tools using new technologies. Some common problems are highlighted and some ways in which these can be addressed are shown.

Research and Application of In-seam Seismic Survey Technology for Disaster-causing Potential Geology Anomalous Body in Coal Seam

In order to effectively detect potential geology anomalous bodies in coal bearing formation,such as coal seam thickness variation,small faults,goafs and collapse columns,and provide scientific guidance for safe and efficient mining,the SUMMIT-II EX explosion-proof seismic slot wave instrument,produced by German DMT Company,was used to detect the underground channel wave with the help of transmission method,reflection method and transflective method.Region area detection experiment in mining face had been carried out thanks to the advantage of channel wave,such as its great dispersion,abundant geology information,strong anti-interference ability and long-distance detecting.The experimental results showed that:(1)Coal seam thickness variation in extremely unstable coal seam has been quantitatively interpreted with an accuracy of more than 80%generally;(2)The faults,goafs and collapse columns could be detected and predicted accurately;(3)Experimental detection of gas enrichment areas,stress concentration regions and water inrush risk zone has been collated;(4)A research system of disaster-causing geology anomalous body detection by in-seam seismic survey has been built,valuable and innovative achievements have been got.Series of innovation obtained for the first time in this study indicated that it was more effective to detect disaster-causing potential geology anomalies by in-seam seismic survey than by ground seismic survey.It had significant scientific value and application prospect under complex coal seam conditions.

Distributed Air &Missile Defense with Spatial Grasp Technology

A high-level technology is revealed that can effectively convert any distributed system into a globally programmable machine capable of operating without central resources and self-recovering from indiscriminate damages. Integral mission scenarios in Distributed Scenario Language (DSL) can be injected from any point, runtime covering & grasping the whole system or its parts, setting operational infrastructures, and orienting local and global behavior in the way needed. Many operational scenarios can be simultaneously injected into this spatial machine from different points, cooperating or competing over the shared distributed knowledge as overlapping fields of solutions. Distributed DSL interpreter organization and benefits of using this technology for integrated air and missile defense are discussed along with programming examples in this and other fields.

Analysis of the Development Structure on Non-governmental Enterprises of Science and Technology

Based on the development of the non-governmental enterprises of science and technology in the past twenty years, this paper applied an interpretive structure model (ISM) to make a research on the regular development pattern of these enterprises and to probe into the interior development mechanism theoretically. The studying results supply ideas underlying the scientific decision for the governments at all levels and show the direction of the development of the non-governmental enterprises of science and technology in the future.

Combined Insights from Leachate Structure and Microstructure Characteristics for Eating Quality of Convenience Rice Processed by Super-Heated and Pressurized Steam Technologies

Convenience rice has become widely popular due to its easy availability for cooking. This study investigated the starch structure and composition of leachate and the microstructure of reheated convenience rice using novel processing technologies: super-heated steaming(SHS), auto-electric cooking(AEC), and pressurized-steam cooking(PSC). Additionally, the effect of two different target water contents(58% and 63%) was also evaluated. The PSC_63% sample had the highest total solids and amylopectin amount in the leachate. The amylopectin amount in the leachate differed significantly based on the targeted water content. Morphological characterization revealed that the swelling of starch and the coated layer on the surface of rice grains were most pronounced in the PSC_63% sample due to the pressure processing. The textural hardness of the AEC_58% sample was much higher than that of the other samples. The PSC_63% sample had the highest textural adhesiveness value, which can be attributed to the highest amylopectin amount in the leachate. Sensory characterization showed that the PSC_63% sample had the highest glossiness, whiteness, moistness, and overall acceptability. The principal component analysis score plots presented substantial differences in the leachate and textural and sensory characteristics of reheated convenience rice among the different processing technologies.

The Essence and Structure of Information Competency of an Interpreter in the System of Continuing Education

The paper highlights the problem of training of interpreters in the system of continuing education in Russia. The theoretical analysis of the essence and structure of the information competency of an interpreter in continuing education as subjects is proposed. The research techniques were document analysis, interviews, participant observation, work process analysis, and focus groups. This paper presents a brief overview of the information competency of an interpreter. The importance of the information competency in the structure of professional competency of an interpreter is acknowledged by the majority of modern experts. But there still exists the problem of determining the set of skills which present the information competency of an interpreter. This paper introduces the author＇s view on the problem of defining the essence and structure of the information competency of an interpreter.

On the Multi-media Assisted Interpreting Teaching Strategies

This paper discusses the strengths of using the intemet and building corpus in interpretation teaching. The authors propose multi-media assisted interpretation teaching strategies such as building a small -sized controlled internal interpretation corpus, encouraging students to search information via the internet, and conducting teacher-student, student-student communication at all levels via E-mall, BBS, skype-in-English, audio/video conference and etc.

新型举国体制下实施核心技术攻关的哲学思考与践行路径

文章通过对新型举国体制下实施核心技术攻关进行历史经验分析和创新理念阐述的基础上,展开哲学思考:从顶层设计和总体优化层面把握技术攻关的国家干预、从系统集成和系统协调层面剖析技术攻关的系统思维、从引进吸收和自主创新层面洞察技术攻关的辩证思维、从目标确立与认识闭环层面理解技术攻关的认识论。由此,提出新型举国体制下实施核心技术攻关的践行路径:发挥党和政府的系统性顶层设计战略指导作用、强化关键核心技术攻关的机制化生态建设、把握有为政府与有效市场的作用边界、形成高效的管理协调机制以及鼓励对外开放与国际合作。

广义道德论:当代科技道德的重塑

当代科技既超现实又反现实,在建构世界的同时又对真实世界实现了“降维打击”。探讨当代科技发展趋势如人工智能、生物医学、基因编辑、量子科技等,需要明确其中蕴含的当代性。所谓当代科技发展之“发展”有双关深意:既生成了新兴技术的道德问题本身,又生成了可解方案——广义道德论。新技术的溢出突破道德解释的理论极限,需要创设一种能够将“包容性”和“适应性”统合起来的新伦理解释框架。新的伦理解释框架是递归的科技道德问题与道德设计创造性的变量函数值,亦是当代科技发展中新的人与技术关系方程式。

用者为本,技之大道--评《以口译员为中心的技术可用性研究:以SmarTerp为例》

在口译学科“技术转向”的时代背景下,口译技术人性化和可持续发展的重要性日益凸显。《以口译员为中心的技术可用性研究:以SmarTerp为例》一书立足时代需求,介绍了全球首项使用可用性工程方法开发计算机辅助口译工具的案例研究,旨在反映口译领域技术变革,确保口译技术的公平可持续发展。该书通过采用人机交互的理论框架和方法论框架评估计算机辅助口译工具SmarTerp界面的可用性,弥补了当前计算机辅助口译实证研究的不足,对口译技术的研发和应用具有重要的启发意义和借鉴价值。

大庆油田开发试井解释技术新进展及展望

全面介绍了大庆油田自“十四五”以来在开发试井解释技术方面所取得的新进展。解析试井技术领域,率先在国内完成了试井资料的智能化解释方法研究,成功实现了10种常规试井模型的自动化解释,并已开始大规模推广应用;数值试井技术领域,在水驱单相流的基础上进一步发展了化学驱多相流多组分模型和针对致密油气藏的多段压裂水平井的数值试井解释技术;试井解释资料应用领域,研发了测试资料综合应用云平台,深化了试井资料解释成果的应用;试井解释软件的开发方面,研发了拥有自主知识产权的Sunflower试井解释平台软件系列。未来将集中在解析试井智能解释技术的完善和提升、数值试井解释技术的解释速度提升、页岩油试井解释评价技术以及高频压力计试井解释评价技术,同时,还将发展基于“微服务”架构的试井解释平台软件。

视频侦查技术关键及其发展展望

视频侦查技术的核心是通过视频图像的提取、查看、分析和研判来获取侦查线索、固定涉案证据。多年来经过在实战应用中不断地发展创新,视频侦查技术形成了自己独特的关键技术体系:视频信息分析解读技术是侦查应用和证据固定的基础和核心;视频证据固定保全技术的规范是审判中心主义的客观要求,可以获取视频侦查记录报告、视频检验鉴定报告或视频数据关联报告;低质量视频图像的增强恢复技术专业性强,应用范围窄,技术成熟度高,然而它不断面临新的挑战。目前,视频数据的智能应用在大数据背景下变得越来越重要,仍需进一步突破视频自动识别技术的应用范畴,建立完善多层次的视频数据综合应用体系,打造适应不同业务需要的视频数据实战应用模型。

三维地震动态解释在淮北构造复杂煤矿生产中的应用

三维地震勘探技术在煤矿安全高效矿井地质保障系统中发挥着重要的作用,淮北矿区构造复杂,断层密度大,断层已成为严重制约淮北矿区采区接替和增储保供的主要因素。本文将三维地震动态解释应用于淮北构造复杂煤矿的生产中,在煤矿工作面设计、巷道掘进和工作面贯通等多个生产阶段开展地震动态解释,针对大巷掘进过程中地质保障的实际需求开展了地震动态解释工作。应用实践表明,煤矿工作面生产过程中的地震动态解释工作将分析对象限定为一个工作面、一条巷道甚至一条断层,研究对象更聚焦,更精准,且时效性强,能够为煤矿工作面生产过程提供较为准确的指导,助力煤矿安全高效开采。

数字技术赋能森林生态产品价值实现:理论阐释与实现路径

森林生态产品价值实现面临供需对接难、交易成本较高、质量溯源机制欠缺、产品同质化等诸多现实困境,而数字技术的蓬勃发展为推进森林生态产品价值实现创造了新机遇。从数字技术视角首次探讨森林生态产品价值实现的理论逻辑及路径,对完善森林生态产品价值实现机制具有重要现实意义和理论意义。研究发现:(1)森林生态产品价值实现关键在于打通转化通道,构建“监测评价-资源开发-市场经营-支持保障”森林生态产品价值实现全链条机制,进而运用数字技术赋能来解决“森林生态资源变森林生态产品”、“森林生态产品变森林生态商品”两大核心问题。(2)数字技术赋能森林生态产品价值实现理论逻辑体现于:数字技术赋能产品四个基本环节,为产品价值实现提供新动能新活力;数字技术赋能生态产业化经营,提升产品价值增值空间;数字技术赋能产品市场主体行为,激发更强“长尾效应”;数字技术赋能产品市场交易信息,降低信息摩擦;数字技术赋能产品市场交易成本,降低交易成本。(3)数字技术赋能森林生态产品价值实现的路径,即利用数字技术做好森林生态产品权属登记和信息普查、森林生态产品价值核算数字化、搭建森林生态产品数字经济平台和市场交易平台、数字技术强化森林生态产品质量追溯、健全森林生态产品价值实现保障机制和多方位完善数字人才体系建设。本文的研究为推进数字时代背景下的森林生态产品价值实现提供理论启示。

中国石油精细油藏描述技术新进展与展望

精细油藏描述研究是油田开发基础工作之一,其研究精度的不断提高,极大地促进了油田开发水平的提升。“十二五”和“十三五”期间,中国石油精细油藏描述研究针对多层砂岩油藏、复杂断块油藏、低渗透砂岩油藏、砾岩油藏、稠油油藏、特殊岩性油藏分别开展了技术攻关,形成了不同类型油藏配套技术系列。为了支撑剩余经济可采储量(SEC)储采平衡、老油田“压舱石”、采收率再提高、页岩油革命等“四大工程”,系统梳理中国石油精细油藏描述研究在5个方面的最新进展,分别是井震结合构造精细解释技术实现低级序断层定量描述,基于储层构型研究的单砂体刻画技术实现米级砂体描述预测,室内实验、数字岩心、物理模拟和数值模拟等方法技术实现综合剩余油表征,精细油藏描述成果平台建设实现研究过程协同共享和成果规范化存储管理,建章立制制定系列标准规范实现精细油藏描述研究规范化。通过系统总结精细油藏描述存在的8个方面问题,提出精细油藏描述的发展方向。

大庆油田地球物理勘探技术现状及发展方向

大庆油田地球物理勘探技术(简称为物探技术)以高效支撑油田勘探开发为宗旨,通过引进吸收和自主创新相结合的方式快速发展。针对各领域勘探开发的需求,已形成适用配套的地震资料采集、处理和解释技术系列,并自主创新研发了具有国际先进水平的黏弹性叠前偏移技术和薄互层波阻抗直接反演技术,有力支撑了大庆油田各领域油气勘探开发,为油田“稳油增气”作出了积极贡献。但随着油田勘探开发持续向非常规油气藏、复杂油气藏、深部油气藏等领域延伸,勘探开发对象日趋复杂,对物探技术的支撑能力提出了新的挑战。围绕当前大庆油田主要勘探开发领域,在梳理技术现状的基础上,详细分析了松辽盆地北部、海拉尔-外围盆地、四川盆地矿权流转区、塔里木盆地塔东区块在常规油、致密碎屑岩油气藏、页岩油、火山岩气藏、碳酸盐岩油气藏等领域面临的地质难题,厘清物探技术需求和差距,提出了未来在推广完善成熟技术、创新研发核心技术、加快构建大数据平台、探索储备新能源物探技术等方面的发展方向,以促进大庆油田物探技术的持续快速进步,为大庆油田高质量发展再作新贡献。

中医面色判读标准探源及其现代化趋势展望

准确判读常色、病色是面色诊断技术研究的前提,但由于临床面色变化多样,医者对“五色”理解和判读方法存在差异,面色总体判读一致性不高。人工智能背景下中医诊疗技术应用对面色判断准确性提出更高要求。本文阐释《素问·五藏生成篇》中“外荣之色”“见生之色”“见死之色”间的内在逻辑,探源中医面色判读标准,模拟“五色”视觉特点,初步设计面色判读标准流程,讨论面色理论的时代局限性,提出建立符合现代临床诊疗需要的面色判读专家共识或指南是面色诊断技术临床应用的必由之路。

基于BP神经网络的隧道超前地质预报资料综合解译技术研究

为提高超前地质预报资料综合解译的准确性,本次研究通过大量预报工作实践与持续开挖验证,建立了一套基于隧道掌子面地质调查法、地震波反射法和电磁波反射法于一体的隧道超前地质预报资料的综合解译规则。其中,一级综合解译基于掌子面地质编录一项指标和超前地质预报探测的四项指标分析得到,包含70条一级综合解译结果;二级综合解译在一级综合解译的基础上增加了地质雷达探测资料的两项指标,包含117条二级综合解译结果;二级综合解译比一级综合解译更详细、具体,降低了多解性出现的概率。同时,选取了70组训练样本,采用Back Propagation神经网络分析方法训练解译规则,形成了一套隧道超前地质预报综合解译技术。最后,以大巴山脉某公路隧道预报为应用实例,提出方法的预报准确率在80%以上,证明了该综合解译技术的有效性,研究可为隧道综合超前地质预报资料解译提供参考。

基于可解释性结果的数据故事化关键技术分析、融合与应用

[研究目的]明确可解释性结果用于数据故事化的关键技术类型,探索技术融合框架辅助数据故事化的应用流程,对于深度挖掘数据潜在价值、实现解释结果的故事化呈现具有重要意义。[研究方法]为建好可解释性结果与数据故事化的连接,提出了LIME改进技术、要素关联技术、高潮点识别技术和故事化自动生成技术,并进一步构建基于四种关键技术的融合框架和故事化流程。[研究结论]LIME改进算法的拟合优度由之前的0.50提高到0.82,且与原始LIME方法相比,残差降低了95%,识别出的高潮点相较于初始样本点,其特征变化幅度在局部区域保证最小。本研究实现了基于特征变化的数据故事的自动化生成,证明技术融合框架在实现故事化解释方面是有效的。