Virtual reality based apps are the future of patient:Counseling

The use of virtual reality to educate preoperative patients has a positive impact on nurses as well as patients undergoing treatment.It can help improve patient satisfaction and improve favorable outcomes by reducing patient anxiety and proving adequate knowledge about the procedure and possible outcomes to the patient.It also reduces burden on nursing staff and counsellors.Larger and more diverse cohort studies will help us understand the wider application of this tool on the patient population.It may be difficult to apply this tool on elderly patients with failing eyesight,multiple physical comorbidities.Also,there may be reduced acceptance of this modality by older nursing staff and practitioners who may prefer the traditional verbal version for counselling.We will benefit from a combined approach of using virtual reality apps with tradition one-on-one counselling to help alleviate patient concerns and improve patient and healthcare professional satisfaction.

Application of virtual reality technology improves the functionality of brain networks in individuals experiencing pain

Medical procedures are inherently invasive and carry the risk of inducing pain to the mind and body.Recently,efforts have been made to alleviate the discomfort associated with invasive medical procedures through the use of virtual reality(VR)technology.VR has been demonstrated to be an effective treatment for pain associated with medical procedures,as well as for chronic pain conditions for which no effective treatment has been established.The precise mechanism by which the diversion from reality facilitated by VR contributes to the diminution of pain and anxiety has yet to be elucidated.However,the provision of positive images through VR-based visual stimulation may enhance the functionality of brain networks.The salience network is diminished,while the default mode network is enhanced.Additionally,the medial prefrontal cortex may establish a stronger connection with the default mode network,which could result in a reduction of pain and anxiety.Further research into the potential of VR technology to alleviate pain could lead to a reduction in the number of individuals who overdose on painkillers and contribute to positive change in the medical field.

新工科背景下融合OBE-CDIO理念的“C#程序设计”课程改革创新与实践

针对当前新工科建设中面临的高职院校工程应用人才培养无法满足产业快速发展需求的现状,以江苏信息职业技术学院的“C#程序设计”课程教学改革为例进行深入分析。通过对课程内容、教学资源、学习情境以及考核评价的系统改进,探讨如何将OBE能力导向与CDIO工程实践导向教育理念融合应用于高职软件类课程改革的创新实践中,揭示了这种复合教育理念对学生综合素质和职业能力的培养带来的积极影响,为高职软件类课程改革提供了有效参考和借鉴。

基于C#语言与ArcGIS Engine 的开采沉陷预计系统开发

为了预计煤层开采引发的地表移动变形,基于极坐标系的概率积分法,借助C#语言和ArcGIS Engine组件工具库设计开发了矿区开采沉陷预计系统。开采沉陷预计系统适用于不规则形状的开采工作面,能够对开采区域地表各点不同开采时间后的下沉、水平移动、水平变形、倾斜、曲率进行预计,并对预计结果进行后处理,绘制地表移动变形云图。以陕西省某矿308工作面开采为例,根据工作面的开采条件、地层岩性等特征选取概率积分参数并代入本系统进行地表移动变形预计,将结果与实测地表移动变形进行对比分析。结果表明:使用该系统预计的地表下沉值与实测下沉值的相对误差小于10%,且下沉盆地形态与实际基本吻合,该系统的预计结果较为可靠,对矿区的开采沉陷预计具有一定的适用性。

融入“双主体”教育思想的C#课程线上线下混合式教学研究

本文以C#课程线上线下混合式教学为例,设定课程教学目标,选取合适教学模式,依托现有线下线上课程教学资源,融入“双主体”教育思想,分线上线下两类以及各类两个阶段进行混合式教学活动设计,探索在混合式教学过程中发挥教师、学生“双主体”能动性,激发学生主体在学习过程的主动性、积极性与创造性,以及发挥教师主体引导、启发、监控教学过程的主导作用,努力达成教师教授最优化与学生学习最优化,以期达到更好的教学及学习效果。This article takes the mixed online and offline teaching of C Sharp courses as an example, sets course teaching objectives, selects appropriate teaching modes, relies on existing online and offline course teaching resources, integrates the “Double Main Body” education concept, and designs mixed teaching activities in two categories and two stages of online and offline, exploring the use of the “Double Main Body” initiative of teachers and students in the mixed teaching process, stimulating the initiative, enthusiasm, and creativity of students in the learning process, and exerting the leading role of teachers in guiding, inspiring, and monitoring the teaching process, striving to achieve the optimization of teacher teaching and student learning, in order to achieve better teaching and learning effects.

基于C#的最佳抵偿高程面选取软件设计与应用

规范规定建立或选择平面坐标系统的前提条件是测区内投影所引起的长度变形不大于25 mm/km。某测区公路工程施工控制网采用国家坐标系不能满足这一要求,为减小高斯投影长度变形所带来的影响,本研究选用膨胀椭球与重心坐标不变法建立工程抵偿坐标系,并基于C#语言进行抵偿坐标系最佳抵偿面选取软件设计。研究结果表明,该计算方法严密、可靠,软件计算结果快速准确,可以实现抵偿坐标计算的自动化处理,能够满足规范要求,可直接应用于工程生产。

基于OBE理念的C#编程与SQL数据库应用课程教学改革

为有效培养自动化专业学生应具备的系统分析、设计与研发能力,针对C#编程与SQL数据库应用课程存在的教学模式单一、课程内容实践不够、学生能力培养不足等问题,制定以工程意识和工程素质为核心的培养目标,以云班课教学平台为依托,探索线上线下混合式、课堂企业交叉式教学模式。基于成果导向的教学理念的理论与实践相结合的教学内容,通过项目驱动式方法改革授课方式,采用自主式、团队式相融合的方法改革实践教学,并探讨全方位多层次的考评方法,以提高学生解决复杂工程问题的能力。

Mental health in the virtual world:Challenges and opportunities in the metaverse era

Current rates of mental illness are worrisome.Mental illness mainly affects females and younger age groups.The use of the internet to deliver mental health care has been growing since 2020 and includes the implementation of novel mental health treatments using virtual reality,augmented reality,and artificial intelligence.A new three dimensional digital environment,known as the metaverse,has emerged as the next version of the Internet.Artificial intelligence,augmented reality,and virtual reality will create fully immersive,experiential,and interactive online environments in the metaverse.People will use a unique avatar to do anything they do in their“real”lives,including seeking and receiving mental health care.In this opinion review,we reflect on how the metaverse could reshape how we deliver mental health treatment,its opportunities,and its challenges.

基于C#+OpenGL的多探头测井井筒三维成像软件研制与应用研究

基于油水、气水等多相流实验数据和图像资料,采用C#语言结合Tao框架OpenGL研发一套适用于MAPS阵列多探头测井(以下简称“MAPS测井”)仪器的井筒流体三维成像显示(COSL-MapsView)软件。该软件可实现测井数据的直接加载,快速精确直观显示井筒内油气水的分布情况。基于图像重构对MAPS测井仪器进行了适用性研究,表明MAPS测井在水平井和大斜度井中低流量情况下的分层流中具有良好的应用效果,在高流量分散流中应用效果不佳。经验证,该软件成像效果达到了国外同等水平,对海上油气田找堵水等工程作业具有指导意义。

Virtual reality for preoperative patient education: Impact on satisfaction, usability, and burnout from the perspective of new nurses

BACKGROUND Traditional paper-based preoperative patient education is a struggle for new nurses and requires extensive training.In this situation,virtual reality technology can help the new nurses.Despite its potential benefits,there are studies on patient satisfaction but there is limited information on the usability of virtual reality(VR)technology for new nurses in giving preoperative education to patients.AIM To investigate the impact on satisfaction,usability,and burnout of a system using VR technology in preoperative patient education.METHODS The study involved 20 nurses from the plastic surgery ward and 80 patients admitted between April and May 2019.Each nurse taught four patients:Two using traditional verbal education and two using virtual reality.The System Usability Scale,After-Scenario Questionnaire,and Maslach Burnout Inventory(MBI)were employed to evaluate the impact of these education methods.RESULTS The VR education groups showed a statistically higher satisfaction than the traditional verbal education groups.Among the three subscales of the MBI,emotional exhaustion and personal accomplishment improved statistically significantly.VR was also better in terms of usability.CONCLUSION This study suggests VR enhances usability and reduces burnout in nurses,but further research is needed to assess its impact on depersonalization and objective measures like stress and heart rate.

基于C#的配网在线监测系统设计与实现

中低压配网监测技术无法有效实现对各层电网运行信息的共享分析,监测可视化效果差。针对该问题,文中利用VISIO(流程图和矢量绘图软件)二次开发技术设计了一个基于C#的配网运行在线监测系统。该系统具有系统基础配置管理,包括实时数据监测、数据查询、数据分析、预警提醒管理等功能。在运行时,通过建立连接实时获取下位机终端采集的配网运行数据,使之显示于监测主页面,用户只需要通过较为简单的窗体控件控制即可实现系统基础信息配置以及在线监测。调试运行结果表明,该系统可以较好地实现远程监测与及时预警提醒,使配网运行数据得到实时利用,有效提高工作效率。

Prediction of corrosion rate for friction stir processed WE43 alloy by combining PSO-based virtual sample generation and machine learning

The corrosion rate is a crucial factor that impacts the longevity of materials in different applications.After undergoing friction stir processing(FSP),the refined grain structure leads to a notable decrease in corrosion rate.However,a better understanding of the correlation between the FSP process parameters and the corrosion rate is still lacking.The current study used machine learning to establish the relationship between the corrosion rate and FSP process parameters(rotational speed,traverse speed,and shoulder diameter)for WE43 alloy.The Taguchi L27 design of experiments was used for the experimental analysis.In addition,synthetic data was generated using particle swarm optimization for virtual sample generation(VSG).The application of VSG has led to an increase in the prediction accuracy of machine learning models.A sensitivity analysis was performed using Shapley Additive Explanations to determine the key factors affecting the corrosion rate.The shoulder diameter had a significant impact in comparison to the traverse speed.A graphical user interface(GUI)has been created to predict the corrosion rate using the identified factors.This study focuses on the WE43 alloy,but its findings can also be used to predict the corrosion rate of other magnesium alloys.

Influence of static cartoons combined with dynamic virtual environments on preoperative anxiety of preschool-aged children undergoing surgery

BACKGROUND Preschoolers become anxious when they are about to undergo anesthesia and surgery,warranting the development of more appropriate and effective interventions.AIM To explore the effect of static cartoons combined with dynamic virtual environments on preoperative anxiety and anesthesia induction compliance in preschool-aged children undergoing surgery.METHODS One hundred and sixteen preschool-aged children were selected and assigned to the drug(n=37),intervention(n=40),and control(n=39)groups.All the children received routine preoperative checkups and nursing before being transferred to the preoperative preparation room on the day of the operation.The drug group received 0.5 mg/kg midazolam and the intervention group treatment consisting of static cartoons combined with dynamic virtual environments.The control group received no intervention.The modified Yale Preoperative Anxiety Scale was used to evaluate the children’s anxiety level on the day before surgery(T0),before leaving the preoperative preparation room(T1),when entering the operating room(T2),and at anesthesia induction(T3).Compliance during anesthesia induction(T3)was evaluated using the Induction Compliance Checklist(ICC).Changes in mean arterial pressure(MAP),heart rate(HR),and respiratory rate(RR)were also recorded at each time point.RESULTS The anxiety scores of the three groups increased variously at T1 and T2.At T3,both the drug and intervention groups had similar anxiety scores,both of which were lower than those in the control group.At T1 and T2,MAP,HR,and RR of the three groups increased.The drug and control groups had significantly higher MAP and RR than the intervention group at T2.At T3,the MAP,HR,and RR of the drug group decreased and were significantly lower than those in the control group but were comparable to those in the intervention group.Both the drug and intervention groups had similar ICC scores and duration of anesthesia induction(T3),both of which were higher than those of the control group.CONCLUSION Combining static cartoons with dynamic virtual environments as effective as medication,specifically midazolam,in reducing preoperative anxiety and fear in preschool-aged children.This approach also improve their compliance during anesthesia induction and helped maintain their stable vital signs.

基于高速大数据与C#编程的路段出行结构分析

随着我国高速公路信息化与数字化的快速发展,高速公路信息系统每天都会产生大量的交通数据,高速公路OD数据和路段流量的采集越来越便捷。以湖北省为例,2022年湖北省高速公路出行产生了3亿车次的通行数据。高速公路改扩建项目通过对这些数据进行分析,可以对车辆在高速公路上的行驶轨迹进行还原,进而分析出高速公路路段的出行结构。目前,国内已经积累了大量高速大数据的研究成果。

基于C#的动物离心机上位机控制系统设计

为满足航空航天实验需要,研发一款平稳运行、功能齐全的动物离心机。根据动物离心机的结构,将控制策略分为两部分,利用电子计算机+运动控制器实现试验平台的位置控制,利用电子计算机+伺服驱动器实现主轴旋转运动控制,采用编码器反馈控制精度。上位机操作系统基于C#语言,使用Visual Studio开发工具,MySQL数据库,设置了输入异常、通信异常、主轴转速阈值、试验平台旋转角度阈值等异常处理方案,确保动物离心机设备的运行稳定。开发出的控制系统具有较高的稳定性和精确性,在离心机主轴转速为10、15、20、30 r/min,试验平台旋转角度和俯仰角度为5°、10°、15°、20°时,编码器测量结果与输入参数基本符合,运行平稳达到实验要求。研发出的动物离心机设备能够灵活、可靠运转,提供多轴向G值加速度力学环境仿真,便利高载荷力学环境下生理实验研究。

Spatial Heterogeneity of Embedded Water Consumption from the Perspective of Virtual Water Surplus and Deficit in the Yellow River Basin,China

Virtual water trade(VWT)provides a new perspective for alleviating water crisis and has thus attracted widespread attention.However,the heterogeneity of virtual water trade inside and outside the river basin and its influencing factors remains further study.In this study,for better investigating the pattern and heterogeneity of virtual water trade inside and outside provincial regions along the Yellow River Basin in 2015 using the input-output model(MRIO),we proposed two new concepts,i.e.,virtual water surplus and virtual water deficit,and then used the Logarithmic Mean Divisia Index(LMDI)model to identify the inherent mechanism of the imbalance of virtual water trade between provincial regions along the Yellow River Basin and the other four regions in China.The results show that:1)in provincial regions along the Yellow River Basin,the less developed the economy was,the larger the contribution of the agricultural sector in virtual water trade,while the smaller the contribution of the industrial sector.2)Due to the large output of agricultural products,the upstream and midstream provincial regions of the Yellow River Basin had a virtual water surplus,with a net outflow of virtual water of 2.7×10^(8) m^(3) and 0.9×10^(8) m^(3),respectively.3)provincial regions along the Yellow River Basin were in a virtual water deficit with the rest of China,and the decisive factor was the active degree of trade with the outside.This study would be beneficial to illuminate the trade-related water use issues in provincial regions along the Yellow River Basin,which has farreaching practical signific-ance for alleviating water scarcity.

大型游乐设施风险评估系统的建立——基于C#语言与SQL数据库

随着大型游乐设施的快速发展,安全保护方面存在着诸多问题,安全事故时有发生,因而游乐设施的检验面临着巨大的挑战。为了解决这一问题,本文依托于GB 8408-2018 《游乐设施安全规范》以及《特种设备安全监察条例》建立一个完整的风险评估体系,通过C#语言与SQL数据库语言共同构建的分析研究系统,构造一个覆盖全面的、内容详尽的设备使用状态的风险评估系统,针对安全保护装置的现状进行有效评估。该风险评估系统的完善以及投入使用将会对大型游乐设施的安全保护提供详细的数据,对大型游乐设施的检验提供更好的技术手段。

C#程序设计课程思政教学实践研究

C#程序设计是理工类专业的计算机基础课程之一,通过多年教学实践,该课程所蕴含的大量思政元素正不断涌现,文章就C#程序设计课程中思政元素的挖掘,以及相对应的教学方法、教学设计等教学环节进行探究,引导学生在掌握C#程序设计课程知识点的同时,做到对价值观念的启发和引导,从课程学习和思想教育两个维度进行思政教学探索和研究。

A virtual thermometer for ultrahigh-temperature-pressure experiments in a large-volume press

Ultrahigh-temperature-pressure experiments are crucial for understanding the physical and chemical properties of matter.The recent development of boron-doped diamond(BDD)heaters has made such melting experiments possible in large-volume presses.However,estimates of temperatures above 2600 K and of the temperature distributions inside BDD heaters are not well constrained,owing to the lack of a suitable thermometer.Here,we establish a three-dimensional finite element model as a virtual thermometer to estimate the temperature and temperature field above 2600 K.The advantage of this virtual thermometer over those proposed in previous studies is that it considers both alternating and direct current heating modes,the actual sizes of cell assemblies after compression,the effects of the electrode,thermocouple and anvil,and the heat dissipation by the pressure-transmitting medium.The virtual thermometer reproduces the power-temperature relationships of ultrahigh-temperature-pressure experiments below 2600 K at press loads of 2.8-7.9 MN(~19 to 28 GPa)within experimental uncertainties.The temperatures above 2600 K predicted by our virtual thermometer are within the uncertainty of those extrapolated from power-temperature relationships below 2600 K.Furthermore,our model shows that the temperature distribution inside a BDD heater(19-26 K/mm along the radial direction and<83 K/mm along the longitudinal direction)is more homogeneous than those inside conventional heaters such as graphite or LaCrO_(3) heaters(100-200 K/mm).Our study thus provides a reliable virtual thermometer for ultrahigh-temperature experiments using BDD heaters in Earth and material sciences.

Effects of virtual agents on interaction efficiency and environmental immersion in MR environments

Background Physical entity interactions in mixed reality(MR)environments aim to harness human capabilities in manipulating physical objects,thereby enhancing virtual environment(VEs)functionality.In MR,a common strategy is to use virtual agents as substitutes for physical entities,balancing interaction efficiency with environmental immersion.However,the impact of virtual agent size and form on interaction performance remains unclear.Methods Two experiments were conducted to explore how virtual agent size and form affect interaction performance,immersion,and preference in MR environments.The first experiment assessed five virtual agent sizes(25%,50%,75%,100%,and 125%of physical size).The second experiment tested four types of frames(no frame,consistent frame,half frame,and surrounding frame)across all agent sizes.Participants,utilizing a head mounted display,performed tasks involving moving cups,typing words,and using a mouse.They completed questionnaires assessing aspects such as the virtual environment effects,interaction effects,collision concerns,and preferences.Results Results from the first experiment revealed that agents matching physical object size produced the best overall performance.The second experiment demonstrated that consistent framing notably enhances interaction accuracy and speed but reduces immersion.To balance efficiency and immersion,frameless agents matching physical object sizes were deemed optimal.Conclusions Virtual agents matching physical entity sizes enhance user experience and interaction performance.Conversely,familiar frames from 2D interfaces detrimentally affect interaction and immersion in virtual spaces.This study provides valuable insights for the future development of MR systems.