Training image analysis for three-dimensional reconstruction of porous media

In order to obtain a better sandstone three-dimensional （3D） reconstruction result which is more similar to the original sample, an algorithm based on stationarity for a two-dimensional （2D） training image is proposed. The second-order statistics based on texture features are analyzed to evaluate the scale stationarity of the training image. The multiple-point statistics of the training image are applied to obtain the multiple-point statistics stationarity estimation by the multi-point density function. The results show that the reconstructed 3D structures are closer to reality when the training image has better scale stationarity and multiple-point statistics stationarity by the indications of local percolation probability and two-point probability. Moreover, training images with higher multiple-point statistics stationarity and lower scale stationarity are likely to obtain closer results to the real 3D structure, and vice versa. Thus, stationarity analysis of the training image has far-reaching significance in choosing a better 2D thin section image for the 3D reconstruction of porous media. Especially, high-order statistics perform better than low-order statistics.

Research on the Design and Application of Virtual and Real Integrated Training Platform Based on Intelligent Manufacturing

In this paper,we built a robot training platform using virtual simulation software,and the robot assembly,handling,and palletizing were realized.The workstation includes an industrial robot,gas control unit,track function module,assembly function module,palletizing function module,vision module,etc.,and robot movement is achieved through language programming.The platform provides conditions for the practical ability training of application-oriented talents.

Training and Implementation of Subjective Questions Scoring System Based on the Baidu Qianfan Model Platform

Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.

Three-dimensional cell culture systems as an in vitro platform for cancer and stem cell modeling

Three-dimensional(3D)culture systems are becoming increasingly popular due to their ability to mimic tissue-like structures more effectively than the monolayer cultures.In cancer and stem cell research,the natural cell characteristics and architectures are closely mimicked by the 3D cell models.Thus,the 3D cell cultures are promising and suitable systems for various proposes,ranging from disease modeling to drug target identification as well as potential therapeutic substances that may transform our lives.This review provides a comprehensive compendium of recent advancements in culturing cells,in particular cancer and stem cells,using 3D culture techniques.The major approaches highlighted here include cell spheroids,hydrogel embedding,bioreactors,scaffolds,and bioprinting.In addition,the progress of employing 3D cell culture systems as a platform for cancer and stem cell research was addressed,and the prominent studies of 3D cell culture systems were discussed.

The Utility Model Relates to a Training Platform for Neurosurgery Multi-Purpose Medical Nursing Worker

With the development of medical level, specialized, refined and multidisciplinary collaborative therapy is the requirement and main development direction of neurosurgery. With the improvement of people’s medical awareness, people cannot meet the simple surgical treatment, and there is a great demand for nursing treatment. At the same time, the demand for efficiency and convenience of medical nursing practice teaching continues to improve, and the multi-functional medical nursing training innovation platform has been paid more and more attention. The rapid development of material technology as well as digitalization has brought about a huge change, and we have created a multifunctional, spatially efficient and easy-to-transfer information platform for medical care training. A base box, placement drawer, platform board and display are used as the base module and the base module is filled with specific functional components. Lifting and lowering using motors and spiral base, moving using universal wheels. These devices together constitute the training platform. A survey of students and teachers was conducted through a questionnaire, and they all gave very good feedback that the multi-functional platform was very practical and useful. This platform effectively solves the drawbacks of the original training platform which is time-consuming, laborious and inconvenient, and is worthy of further promotion and research.

Analysis and Design of Quality Management Platform for the Entire Process of Characteristic Software Talent Training

At the end of 2021 to create a new model of characteristic software talent training for independent and controllable key software fields,the Ministry of Education and the Ministry of Industry and Information Technology jointly approved the establishment of the first batch of 33 Characteristic Pilot Schools of software.As a member of characteristic software schools,the HIT School of Software has been approved and will focus on the construction of 2 characteristic directions,which are large-scale industrial software and industrial professional application software.In order to achieve the goal,it is urgent to develop a comprehensive management platform to control the entire process of talent training,so that we can standardize,modelling,and digitized the entire process of characteristic software talent training.By relating all aspects of student training with and implementing the ability-index mechanisms,we will continuously collect big-data of the entire process of student growth,and generate multidimensional student ability portraits for evaluating the effect of talent training,and adjust as well as optimizing the growth path for students themselves during their studying.Employers will be able to identify talents accurately and provide effective reference for colleges to adjust training plans.This paper will analyze the needs of the platform,provide demand analysis of the platform,extract the correlation model between training,conclude the relations between ability-index activities and ability indicators,and give a reasonable overall system design scheme.

Application and Design of Virtual Reality Technology in Railway Maintenance Training

Virtual reality technology is a brand new comprehensive information technology emerging during the end of 21 st century. In recent years in particular, it gains rapid development, involving industries like education, industry, military, entertainment and medicine. Combined with the characteristics of railway maintenance training, this thesis proposes the application of virtual reality in courseware, distance education, locomotive simulation driving, locomotive overhauling oil and breakdown processing, and illustrates key technology and solution of the exploitation of virtual reality technology.

Effects of Water Weight-Loss Walking Training on Lower Limb Motor Function and Gait in Stroke Patients

Background: Water weight-loss walking training is an emerging physical therapy technique, which provides new ideas for improving the motor function of stroke patients and improving the quality of life of patients. However, the rehabilitation effect of water weight-loss training in stroke patients is currently unclear. Objective: To analyze the effect of water weight loss walking training in stroke patients. Methods: A total of 180 stroke patients admitted to our hospital from January 2019 to December 2021 were selected and randomly divided into two groups. The control group received routine walking training, and the research group performed weight loss walking training in water on this basis. The lower limb motor function, muscle tone grade, daily living ability, gait and balance ability were compared between the two groups before and after treatment. Results: Compared with the control group, the FMA-LE score (Fugl-Meyer motor assessment of Lower Extremity), MBI score (Modified Barthel Index) and BBS score (berg balance scale) of the study group were higher after treatment, and the muscle tone was lower (P Conclusion: Water weight loss walking training can enhance patients’ muscle tension, correct patients’ abnormal gait, improve patients’ balance and walking ability, and contribute to patients’ motor function recovery and self-care ability improvement.

Give prominence to the ability training, and promote the subversive reform of the curriculum teaching

One of the key aspects of the teaching reform of the higher vocational colleges is to give prominence to the ability training of the students. In this paper, from the teaching practice of the network marketing course, with the applicative competition platform as the breakthrough point, the author carries through a series of teaching reforms, to realize the goal of training, and especially to give prominence to the ability training of the students.

The Application of E-learning and Distance Learning Technologies to Crew Education and Training in the Russian Federation

The article examines the world experience of e-learning as well as distance education technologies within the education process organization on higher and post-higher education programs.There have been listed the results of the most popular e-learning platforms analysis.Furthermore,there have been looked through the core legislative background of the development of the mentioned technologies in Russia and worldwide among the universities,specialized in seafarers training.There have been also drawn up the points of the Admiral Makarov State University of Maritime and Inland Shipping(Admiral Makarov SUMIS)design of the distance education system LMS"FARWATER"in compliance with the International Convention on Standards of Training,Certification and Watchkeeping for Seafarers(STCW Convention).The practical application of distance education system to the advanced professional training has been discussed in the article.

Biomaterial-based platforms for cancer stem cell enrichment and study

Cancer stem cells(CSCs)are a relatively rare subpopulation of tumor cell with self-renewal and tumorigenesis capabilities.CSCs are associated with cancer recurrence,progression,and chemoradiotherapy resistance.Establishing a reliable platform for CSC enrichment and study is a prerequisite for understanding the characteristics of CSCs and discovering CSC-related therapeutic strategies.Certain strategies for CSC enrichment have been used in laboratory,particularly fluorescence-activated cell sorting(FACS)and mammosphere culture.However,these methods fail to recapitulate the in vivo chemical and physical conditions in tumors,thus potentially decreasing the malignancy of CSCs in culture and yielding unreliable research results.Accumulating research suggests the promise of a biomaterial-based three-dimensional(3 D)strategy for CSC enrichment and study.This strategy has an advantage over conventional methods in simulating the tumor microenvironment,thus providing a more effective and predictive model for CSC laboratory research.In this review,we first briefly discuss the conventional methods for CSC enrichment and study.We then summarize the latest advances and challenges in biomaterial-based 3 D CSC platforms.Design strategies for materials,morphology,and chemical and physical cues are highlighted to provide direction for the future construction of platforms for CSC enrichment and study.

Research and application of artificial intelligence service platform for the power field

Conventional analysis methods cannot fully meet the business needs of power grids.At present,several artificial intelligence (AI) projects in a single business field are competing with each other,and the interfaces between the systems lack unified specifications.Therefore,it is imperative to establish a comprehensive service platform.In this paper,an AI platform framework for power fields is proposed;it adopts the deep learning technology to support natural language processing and computer vision services.On one hand,it can provide an algorithm,a model,and service support for power-enterprise applications,and on the other hand,it can provide a large number of heterogeneous data processing,algorithm libraries,intelligent services,model managements,typical application scenarios,and other services for different levels of business personnel.The establishment of the platform framework could break data barrier,improve portability of technology,avoid the investment waste caused by repeated constructions,and lay the foundation for the construction of "platform + application + service" ecological chain.

Dynamic Characteristics of Tracked Vehicle Power Train Considering Road Random Torsional Excitation

The road random torsional excitation is one type of torque rooted from the road roughness and vehicle drive system. This paper aims to study how the road random torsional excitation affects the dynamic characteristics of vehicle power train. The method of simulating the random torsional excitation of tracked vehicle is explored at first. Secondly,the road random torsional excitations under different road roughness,vehicle speeds and pre-tensions are obtained. Thirdly,the dynamic analysis model of tracked vehicle power train is constructed with the consideration of the road random torsional excitation. Eventually,the influences of this excitation on output torque,bearing support force,vibration acceleration and dynamic shear stress of transmission shafts are intensively studied.The research conclusions are helpful to correct and refine the present virtual prototype of tracked vehicle power train.

Discussion on the Pathways for Cooperative building of Vocational Education Platforms

the enactment of Planning for Modem Vocational Education System （2014-2020） [[2014] No. 6 of MOE] declares the development of vocational education in China has entered a new historical stage. The development of vocational education, after being elevated to the level of national strategy, will inevitably imply that the existing resources for vocational education must be effectively integrated. To improve the quality of vocational educational institutions, enhance social service levels of vocational institutions and provide smooth career paths for professional talents, are the main goal of vocational education in the future. Since innovative education system for vocational institutions is the inevitabl choice to achieve the above development goal, to innovate the educational system by way of cooperative building of vocational education platforms is the inevitable requirement upon the development of vocational education.

“一点两线三面”创新实验平台的构建与实践

传统化学实验室功能单一、分布零散、共享性差,导致实验用房和实验设备利用效率低,这种建设模式不利于多学科知识的交叉融合,一定程度上影响学生综合素质的发展。本研究秉承“建优质平台,抓实践育人,树创新理念,育创新人才”的指导思想,在化学实验室资源整合共享、利用率提升、开放式管理以及创新应用型人才培养质量提升等方面积极进行教学改革,经过多年探索,搭建起“以提升学生创新实践能力为着力点”“教学科研两条主线”“教学科研三层面”的创新实验(训)平台,取得了一定成效,将为同类高校的创新实验(训)平台建设提供参考。

工业机器人教学实训平台的AR可视化应用设计

工业机器人教学实训平台运行机理较为复杂抽象,学生无法在有限的实训时间内完全理解平台整体运行机理,难以安全高效地完成实训任务。针对上述问题,提出以多层次架构设计实训平台AR可视化应用,在Unity3D中实现原型系统开发。通过KEPServerEX获取多源设备数据,以标志物注册配合空间锚点技术实现平台模型的跟踪注册。在Holo Lens2设备上将平台结构信息、运行状态以及操作指引等内容实现AR可视化,学生可通过手势、视点等多元手段获悉平台状态与实训指引。实践表明,工业机器人教学实训平台AR可视化应用能帮助学生把控平台运行状态,安全高效地完成实训任务。

全方位培养自主学习与实践创新能力的教学体系构建与实践

针对高校创新人才培养中存在的问题,如教育教学方法陈旧、实验教学条件有限和学生实践能力不足,缺乏创新意识等,提出并实施“五个环节”研讨式课堂教学方法,打造多层次、虚实结合的实验教学体系,开展“四化”实践教学模式,建立促进学生自主学习与实践创新能力的考核机制等针对性措施,从而全方位提高教育教学质量,培养学生自主学习与实践创新能力,促进新工科人才解决复杂工程问题核心能力的达成。

基于OBE理念的虚拟仿真实践教学体系建设与探索——以农业机械化及其自动化专业为例

实践教学是工程教育的重要组成部分,是培养和提高学生工程实践能力和科技创新能力的重要途径。该文剖析当前形势下农业机械化及其自动化专业实践教学环节存在的主要问题,总结虚拟仿真实践教学体系建设的实施举措,形成以行业对实践能力需求为引导、以学生发展为主线、以提高学生实践和创新能力为核心的“2+4+1”农机专业虚拟仿真实践教学体系。在实践教学各环节构建虚拟仿真实践平台、完善考核机制,通过虚拟仿真实践训练与实体实训的融合,促进农机专业人才的综合能力培养。

由规模化到精准化:国家中小学智慧教育平台教师研修的差异化需求及优化策略研究

立足常态化的新发展阶段,国家智慧教育平台教师寒暑假研修如何从规模化走向差异化、精准化,“按需施训”尤为关键。研究以基础教育阶段参训教师的9.06万条、149万余字反馈文本为研究对象,综合运用结构主题模型(STM)及重要性-绩效分析法(IPA),构建了国家中小学智慧教育平台教师研修需求框架,并深入分析其差异、明确基于需求要素的优化方向。研究发现:参训教师需求包含个体发展和系统环境两个层面的五类需求,且均存在显著的区域及城乡差异,针对时间安排及学时认定等研修机制需求仍须优化改进。研究为教师寒暑假研修精准化、差异化发展提供实证依据与决策支持,为优化研修服务提供策略建议。

基于学习通教学平台的数学建模竞赛培训模式的实践与研究

文章以常州大学为例,探讨基于学习通教学平台的数学建模竞赛培训模式的实践与研究。首先分析了学习通教学平台的优势,介绍了数学建模竞赛培训的常见模式;接着提出了基于学习通教学平台的数学建模竞赛培训模式构建思路及教学内容规划,并对其教学实施进行了探讨。通过研究,旨在为数学建模竞赛培训提供一种新的教学模式,以期提高学生的数学建模竞赛能力。