Comparison of the level of thrombus precursor protein in blood plasma between patients with acute cerebral infarction and healthy persons at different time

BACKGROUND： Thrombus precursor protein （TpP） is the index of thrombus activity level, and it is also early referencing index in detecting thrombus diseases. OBJECTIVE： To dynamically observe the changes of TpP level in blood plasma of patients with acute cerebral infarction at different time after onset, and to compare the differences of plasma TpP level between patients with acute cerebral infarction and healthy persons who received health examination. DESIGN： Controlled observation SETTING： Department of Neurology, Affiliated Hospital of Xuzhou Medical College PARTICIPANTS： Totally 58 patients with acute cerebral infarction who received the treatment in the Department of Neurology, Affiliated Hospital of Xuzhou Medical College between September 2004 and March 2005 were recruited in this study. They all met the diagnostic criteria revised by the 4^th National Conference of Cerebrovascular Disorders in 1995 and were diagnosed by clinical and skull CT and （or） MRI examinations. The patients included 33 male and 25 female aged from 36 to 87 years. Time to onset 〈 6 hours, 6 to 11 hours, 12 to 23 hours, 24 to 48 hours and 〉 48 hours were found in 10,11,14,10 and 13 patients respectively. Another 51 persons who homeochronously received the health body examination in our hospital were recruited, including 34 male and 17 female, aged 38 to 85 years, serving as control group. Patients with cardio-cerebrovascualr diseases or liver and kidney diseases were excluded. All the involved subjects were informed of the detected items. METHODS： About 4 mL venous blood was respectively taken from patients admitted to the hospital within 6 hours, 6 toll hours, 12 to 23 hours, 24 to 48 hours and more then 48 hours after onset, and healthy persons when receiving health examination. The level of TpP in blood plasma was measured with enzymelinked immunosorbent assay. MAIN OUTCOME MEASURES： ① Comparison of the level of plasma TpP between patients and controls;② Comparison of the level of plasma TpP of patients with acute cerebral infarction at different time after onset. RESULTS： Totally 58 patients with acute cerebral infarction and 51 persons who received health examination participated in the result analysis. ①Comparison of plasma TpP level between patients and controls： The plasma TpP level of patients with acute cerebral infarction was significantly higher than that of control group [（16.12±3.28）vs （5.38±1.36） mg/L, t= 20.993, P〈 0.01 ]. ② Comparison of plasma TpP level of patients with acute cerebral infarction at different time after onset： The level of plasma TpP was （12.06±3.06） mg/L within 6 hours, （15.11±3.42） mg/L at 6 to 11 hours, （20.63±4.05） mg/L at 12 to 23 hours, （16.15±3.50） mg/L at 24 to 48 hours and （11.88±3.11） mg/L at more than 48 hours after onset. It increased from the 6^th hour, reached the peak at the 12^th to 23^rd hours, maintained at very high level at the 48= hour and then gradually decreased and recovered to the level within 6 hours after onset. The level of plasma TpP of patients with acute cerebral infarction was signiticantly higher at the 12^th to 23^rd hours after onset and the 24^th to 48^th hours after onset than within 6 hours after onset （t = 13.385, P 〈 0.05）. CONCLUSION： ①The level of plasma TpP of patients with acute cerebral infarction is significantly higher than that of persons who received health examination.② Plasma TpP levels of patients with acute cerebral infarction change in wave manner at the different time after onset.

Web-based GIS System for Real-time Field Data Collection Using Personal Mobile Phone

Recently, use of mobile communicational devices in field data collection is increasing such as smart phones and cellular phones due to emergence of embedded Global Position System GPS and Wi-Fi Internet access. Accurate timely and handy field data collection is required for disaster management and emergency quick responses. In this article, we introduce web-based GIS system to collect the field data by personal mobile phone through Post Office Protocol POP3 mail server. The main objective of this work is to demonstrate real-time field data collection method to the students using their mobile phone to collect field data by timely and handy manners, either individual or group survey in local or global scale research.

An analysis of the size and direction of the association between mental toughness and Olympic distance personal best triathlon times

Background: Athletes, coaches, sport psychology practitioners, and researchers suggest that mental toughness represents an important construct that is associated with athletic performance. Unfortunately, the absence of real-world performance as a dependent variable has limited our ability to substantiate this claim. The concern of a lack of ecologically valid measures of sports performance might be addressed by examining the relationship between mental toughness and sports performance using a standardized measure of personal best(PB) triathlon time and a validated unidimensional measure of mental toughness.Methods: Three hundred and sixteen triathletes completed the 8-item mental toughness index(MTI), reported their age, and provided a PB Olympic distance triathlon time and the total number of triathlons they had completed to date. Given that males are typically quicker than females, a standardized time was calculated by dividing the PB by the current Olympic record for gender; we also hypothesized that more experienced triathletes would report quicker PB times because of greater frequency and duration of training. Once we had controlled for gender and experience,we predicted that mental toughness would be negatively associated with triathlon time and the size of the relationship would be of a moderate magnitude.Results: Results revealed small-to moderate-sized negative relationships between both completed number of triathlons and mental toughness with standardized PB time.Conclusion: The hierarchical regression analysis showed that mental toughness provided a unique contribution to the variability in standardized Olympic triathlon PB after controlling for the total number of triathlons completed.

Time Prediction Model of Personalized Affective Support Based on the Programming Process

In online programming education,if teachers can determine any difficulties their students are experiencing and provide support,it would significantly improve the outcome of their teaching.This paper describes an attempt to build a time prediction model on the demand for personalized affective support based on a modified version of the Synthetic Minority Over-sampling Technique.We designed and conducted a data collection experiment based on the specific features of the affective support.Meanwhile,the modified oversampling algorithm can ascertain the time for providing such support for learners,which solves the problem of a class imbalance distribution.In addition,we obtained a sorting algorithm of the time prediction regarding the demand for personalized affective support in programming learning and constructed a time prediction model on the demand for affective support.Meanwhile,we conducted experiments on both public data and our own collected data to verify the effectiveness of the constructed model.The results show that the model is able to judge whether learners need affective support during the writing code process.

Time magazine chooses journalists as Person of the Year for 2018

Murdered Saudi Arabian writer Jamal Khashoggi,the Capital Gazette newsroomand three other journalists were named as Time magazine’s 2018 Person of the Year.Photo by:Time Jamal Khashoggi and other journalists were named as Time magazine’s 2018 Person of the Year.

Personalized real-time pricing for efficient and fair demandresponse in energy cooperatives and highly competitive flexibility markets

This paper contributes to the well-known challenge of active user participation in demand side management(DSM).In DSM, there is a need for modern pricing mechanisms that will be able to effectively incentivize selfishly behaving users in modifying their energy consumption pattern towards system-level goals like energy efficiency.Three generally desired properties of DSM algorithms are: user satisfaction, energy cost minimization and fairness.In this paper, a personalized real-time pricing(P-RTP) mechanism design framework is proposed that fairly allocates the energy cost reduction only to the users that provoke it.Thus, the proposed mechanism achieves significant reduction of the energy cost without sacrificing at all the welfare(user satisfaction)of electricity consumers.The business model that the proposed mechanism envisages is highly competitive flexibility market environments as well as energy cooperatives.

AI(句酷批改网)辅助的中职英语过程性写作课堂探究——以“Have you ever done a part-time job”一课为例

分析传统英语写作教学存在的问题,从过程性课堂和AI辅助(以句酷批改网为例)两个维度探讨信息化、实时化写作教学的可行性。以《英语·基础模块2》(高等教育出版社)Unit 3 Have you ever done a part-time job?的写作部分为例,通过在课堂上教师引导分析写作话题、搭建写作框架,以及引入智能评改系统,探究如何进行AI(句酷批改网)辅助的中职英语过程性写作课堂,实时调补教与学的信息沟,降低学生写作难度,调动学生写作的积极性和自主性,实现学生为主体、教师为主导的过程性课堂,从而提升英语写作教学的针对性和有效性。

基于知识图谱的个性化音乐推荐系统设计与实现

本文基于知识图谱技术设计了个性化音乐推荐系统。该系统由用户端、管理端、服务端以及数据库组成。用户完成注册并登录系统后,可以通过输入关键词等方式检索对应的歌曲和歌单,并将其添加收藏,管理员可查看并编辑用户信息。当用户再次登录该系统时,系统会根据之前用户的操作行为向用户精准推送个性化的歌曲和歌单,并在网站主页上显示。从测试情况来看,该系统的音乐推荐、歌曲搜索、歌曲收藏等基本功能可以实现,系统各项操作的平均响应时间均在1 s以内,使用体验较好。

相似还是互补?时间个性异质性对创业团队决策绩效的影响

基于IPO理论框架构建研究模型,揭示时间个性异质性对创业团队决策绩效的影响及时间压力的调节作用,基于创业模拟实验设计进行实验研究,对提出的模型和假设进行检验。研究发现:时间个性异质性对团队决策绩效存在显著正向影响,团队时间心智模型在其中发挥中介作用;时间压力调节时间个性异质性和团队时间心智模型之间的作用关系,但对团队决策绩效的调节作用不显著。研究结论能够完善现有文献对团队异质性研究的不足,为理论分歧提供新的学理解释,并为创业团队提高决策绩效提供实践启示。

时间感知的用户长短期兴趣特征分离推荐算法

针对传统推荐算法未充分考虑行为序列间的动态时间间隔、语义不规则以及用户长短期兴趣相互纠缠的问题,提出一种时间感知的用户长短期兴趣特征分离推荐算法。利用用户个性化时间聚合间隔感知和时间位置多头注意力捕获长期兴趣特征,采用动态时间间隔感知和潜在意图注意力的Time-LSTM捕获短期兴趣特征,提出长短期兴趣特征分离获取方法,分别独立捕获两种时间尺度的用户兴趣,通过注意力机制自适应融合长短期兴趣特征,提高用户兴趣特征捕获准确率。实验结果表明,该算法在预测精度指标AUC和GAUC上较对比算法均有提升,消融实验也进一步验证了该算法的必要性。

家庭支持对高中生生涯适应力的影响:主动性人格与时间管理倾向的链式中介作用

为了研究家庭支持、主动性人格、时间管理倾向对高中生生涯适应力的影响机制,采用家庭支持问卷、主动性人格量表、时间管理倾向量表和生涯适应力问卷对北京市3736名高中生进行调查研究。结果:(1)家庭支持、主动性人格、时间管理倾向和生涯适应力两两之间具有显著的正相关关系;(2)在控制了性别与年级的影响后,家庭支持对高中生的生涯适应力具有直接的正向预测作用,而且会通过主动性人格和时间管理倾向间接影响个体的生涯适应力。结论:家庭支持能够正向预测高中生的生涯适应力水平、主动性人格和时间管理倾向,主动性人格和时间管理倾向在家庭支持和高中生生涯适应力之间起链式中介作用。

长期护理保险对失能人员医疗服务利用及费用的影响——基于中断时间序列分析

目的:研究长期护理保险政策对长期护理保险待遇享受人员医疗服务利用及费用的影响,探讨长期护理保险实施效果并提出建议。方法:采用卡方检验、中断时间序列分析,综合分析待遇享受人员的医疗服务利用及费用在长期护理保险实施前后的变化情况。结果:研究发现,对不同医疗保险类型、失能等级和年龄的失能人员选择不同的照护方式存在显著差异(P<0.05),待遇享受人员医疗服务利用频次及费用均有降低。结论:医疗保险类型、失能等级和年龄是照护方式选择的影响因素,待遇享受人员的医疗服务利用和费用显著降低,长期护理保险可能减少了“社会性住院”行为。政策建议:缩小城乡待遇差异、促进一体化发展,探索居家照护与机构上门结合、促进护理机构综合发展,健全照护服务体系、减轻家庭压力。

Emotionally Resonant Branding: The Role of AI in Synthesising Dynamic Brand Images for Artists in the Music Industry

Artificial Intelligence (AI) expands its recognition rapidly through the past few years in the context of generating content dynamically, remarkably challenging the human creativity. This study aims to evaluate the efficacy of AI in enhancing personal branding for musicians, particularly in crafting brand images based on emotions received from the artist’s music will improve the audience perceptions regarding the artist’s brand. Study used a quantitative approach for the research, gathering primary data from the survey of 191 people—music lovers, musicians and music producers. The survey focuses on preferences, perceptions, and behaviours related to music consumption and artist branding. The study results demonstrate the awareness and understanding of AI’s role in personal branding within the music industry. Also, results indicate that such an adaptive approach enhances audience perceptions of the artist and strengthens emotional connections. Furthermore, over 50% of the participants indicated a desire to attend live events where an artist’s brand image adapts dynamically to their emotions. The study focuses on novel approaches in personal branding based on the interaction of AI-driven emotional data. In contrast to traditional branding concepts, this study indicates that AI can suggest dynamic and emotionally resonant brand identities for artists. The real time audience response gives proper guidance for the decision-making. This study enriches the knowledge of AI’s applicability to branding processes in the context of the music industry and opens the possibilities for additional advancements in building emotionally appealing brand identities.

虚拟现实多人多通道协同交互方法

针对指挥与控制领域中虚拟现实系统在多用户交互和操作便利性等方面的挑战。分析多人多通道系统组成结构,提出一种多人多通道虚拟现实交互框架。引入一种集成手势、语音和眼动的多通道协同交互方法,基于客户端/服务器模式,实现异地多用户实时交互,并通过原型系统(虚拟沙盘系统)展示了多人多通道协同交互方法的应用潜力。对比实验表明,相较传统手持控制器,此技术在提升交互效率和用户舒适度方面具有优势。此外,网络同步测试表明其在多用户实时交互中的低延迟和低丢包率,验证了其实用性和有效性。

个性化玻璃体切割术治疗增生型糖尿病视网膜病变的临床效果

目的观察个性化玻璃体切割术(PPV)治疗增生型糖尿病视网膜病变(PDR)的临床效果。方法回顾性病例研究。纳入2019年10月至2022年11月在上海交通大学医学院附属松江医院眼科确诊为PDR并接受PPV治疗的患者76例(86眼),分为观察组40例(46眼)和对照组36例(40眼)。观察组采取个性化PPV,对照组采用传统PPV。进行12个月随访观察,比较2组患者手术时间,术中重水、硅油使用率,医源性视网膜裂孔、视网膜下重水残留发生率,巩膜外加压比例,手术前后不同时间最佳矫正视力(BCVA)、眼压,术后12个月视网膜复位率以及玻璃体内再积血(PVH)、糖尿病黄斑水肿(DME)和新生血管性青光眼(NVG)等发生率。结果观察组患者手术时间比对照组短(P<0.05)。观察组患者术中重水、硅油使用率均比对照组低(均为P<0.05)。2组患者术中医源性视网膜裂孔、视网膜下重水残留发生率和行巩膜外加压比例比较差异均无统计学意义(均为P>0.05)。2组患者术前、术后3个月、术后6个月、术后12个月BCVA差异均无统计学意义(P>0.05)。术后1 d、1周、1个月,观察组患者BCVA均优于对照组(均为P<0.05);与术前比较,术后1 d、1周、1个月、3个月、6个月、12个月观察组患者BCVA均提高(均为P<0.05);对照组术后1 d、1周BCVA提高均不明显(均为P>0.05),术后1个月、3个月、6个月、12个月BCVA均提高(均为P<0.05)。2组患者术后1 d、1周、1个月、3个月、6个月、12个月眼压比较差异均无统计学意义(均为P>0.05)。术后12个月,2组患者视网膜复位率以及PVH、DME和NVG等并发症发生率差异均无统计学意义(均为P>0.05)。结论个性化PPV手术可以缩短手术时间,减少术中重水、硅油使用率,提高手术效率,快速提升PDR患者视力。

移动健康信息服务的个性化运动目标决策研究

随着物联网技术在智能健康管理领域的不断发展,用户能够通过智能设备感知和监测个人健康状况,并借助移动设备实现与健康信息服务提供商的数据交互,生成个性化运动锻炼方案。在这种实时交互的健康干预服务中,健康信息服务提供商采用数据驱动的方法,适应性地调整为用户推送的个性化运动目标,目的是实现用户长期健康效用最大化和提升用户的服务满意度。为了研究最优的个性化运动推送目标,首先对研究问题进行界定,构建实时交互的个性化运动目标决策模型;随后针对问题中用户行为不确定的特点,采用深度强化学习算法,结合了离轨策略时序差分学习方法以及神经网络非线性拟合方法,从用户的历史数据中学习策略;最后使用Fitbit的真实数据集验证了所提方法的有效性。研究结果表明,基于深度强化学习的个性化运动目标推送服务,通过实时分析用户行为数据,对用户进行科学的引导和适时的激励,有助于帮助用户培养健康的生活方式,提高个人健康管理水平。

基于实时视频流的3D人体姿势和形状估计

为满足元宇宙、游戏及虚拟现实等应用场景中对实时视频流3D人体姿势和形状估计准确性和真实性的要求,提出了一种基于时间注意力机制的3D人体姿势和形状估计方法。首先,提取图像特征,并将其输入运动连续注意力模块以更好地校准需要注意的时间序列范围;随后,使用实时特征注意力集成模块以有效地组合当前帧与过去帧的特征表示;最后,通过人体参数回归网络得到最终结果,并使用基于图卷积的生成对抗网络判断模型是否来自真实的人体运动数据。相较于之前基于实时视频流的方法,在主流数据集上加速度误差平均减少了30%的同时,网络参数与计算量减少了65%,在实际测试中实现了每秒55~60帧的3D人体姿态和形状估计速度,为元宇宙、游戏及虚拟现实等应用场景提供更好的用户体验和更高的应用价值。

个性化护理配合心理疏导对老年下肢骨折患者运动功能及睡眠的影响

目的:探析老年下肢骨折患者术中个性化护理配合术前系统性心理疏导对下肢运动功能及睡眠质量的影响。方法:选取2022年10月至2023年10月福建中医药大学附属人民医院手术治疗的老年下肢骨折患者78例作为研究对象,按照随机数字表法分为对照组和观察组,每组39例。对照组应用常规护理,观察组应用术中个性化护理配合术前系统性心理疏导。对比2组患者睡眠质量、下肢运动功能以及疼痛评分情况。结果:护理后观察组患者睡眠深度、入睡时间、觉醒次数、觉醒时间比例、整体睡眠质量评分均高于对照组(均P<0.05)。护理后,2组患者下肢运动功能均高于干预前(均P<0.05),且观察组的下肢运动功能高于对照组(P<0.05)。护理后2组患者疼痛评分均降低(均P<0.05),且观察组的疼痛评分低于对照组(P<0.05)。结论:应用个性化护理配合心理疏导可以减轻老年下肢骨折患者疼痛感,提高睡眠质量,促进下肢运动功能康复。