Correlations between five-pattern personality scores from traditional Chinese medicine and autonomic nervous response indicators in healthy female college students

Objective:To explore the correlations between five-pattern personality scores and autonomic nervous response indicators in Chinese female college students,to provide a foundation for further exploration of the modern physiological basis of these personality types.Methods:Subjects were asked to fill in 'The Five-Pattern Personality Inventory' (revised edition 2008).Taiyang,Shaoyang,yin-yang balance,Taiyin,and Shaoyin personalities were scored.The galvanic skin response and heart rate,and the low frequency (LF),high frequency (HF),and LF/HF ratio of heart rate variability were collected using a 16-channel physiological recorder (BIOPAC MP150).Relationship between the five-pattern personality scores and autonomic nervous response indicators was analyzed using bivariate correlation.Results:The five-pattern personality scores of the subjects were compared with national averages.The Taiyang and Shaoyang personality scores of the subjects were significantly lower than the overall national average,the national female average,and the national female average in the 18-29-year-old age group (all P <.05).The Taiyang personality score was negatively correlated with both the LF and the HF (P =.009 and P =.001,respectively),and the yin-yang balance personality score was significantly negatively correlated with the galvanic skin response (P =.026).Conclusion:There is a relationship between five-pattern personality scores and autonomic nervous response indicators in Chinese female college students.The higher the Taiyang personality score,the lower the sympathetic and vagus nerve excitability;the higher the yinyang balance personality score,the lower the sympathetic nerve excitability.

Deadbands and the Dynamic Response and Performance of Large Water Transfer Canal System

An operating simulation mode for multireach canal system in series under gate regulating is established. The discharge feedforward plus water lever feedback PID controller was adopted. And the performance indicators are introduced to evaluate the control effects of canal operation. Influence on dynamic response process and dynamic performance as well as the control actions of canal system are studied according to the variation of the gate deadband and water level deadband. The results showed that the larger the gate deadband, the worse, the control effect of canal system over water level, and so done the stable process of gate discharge, yet the stable process of gate opening was getting better, while the upstream gate regulation of each canal pool was less at the time when canal stabilizes; the closer to downstream end of canal, the lager steady-state error of this canal pool was, and the lager influence of gate deadband on the steady-state error as well as response time of this canal pool was; the canal system can not acquire superiority in both the control performance and control actions when only the water level deadband was established.

Responses of Pinus tabulaeformis tree rings to climatic metrics in Hasi Mountain

A tree-ring width chronology developed from Pinus tabulaeformis tree-rings of Hasi Mountain was employed to analyze responses of tree-ring to different climatic metrics.Correlation analyses between tree-ring chronology and precipitation and temperature suggest that tree growth is both limited by precipitation and temperature,and moisture is the principal limiting factor of tree-ring width.To find a suitable moisture index to be reconstructed,three moisture indices considering precipitation and evaporation even water balance are chosen to be analyzed.The results suggest that the PDSI is an appropriate index as predictor of tree-ring width and can be used to reconstruct in this area.

Physiological and Molecular Analyses of Low-Salinity Stress Response in the Cuttlefish(Sepia pharaonis)Juveniles

As a stenohaline species,the survival of Sepia pharaonis can be affected by salinity significantly.This study aimed to explore the function of decreasing salinity on the survival of Sepia pharaonis,which can provide an advanced production guide on the culture of S.pharaonis in the rainy season.Salinity was gradually decreased from 29 to 22 within 48 h to acclimate S.pharaonis to a low-salinity environment.After ten days of breeding under low-salinity of 22,the death rate was high.In this process,changes in tissue and cell structures in the larval liver,biochemical indicators,and osmoregulation-related gene expression were examined.In-terestingly,hepatocytes in the low-salinity group were irregular,had dissolved tissue inclusions,and contained vacuolized cells.There-fore,low salinity caused severe damages at a cellular level that can elevate the mortality rate.A gradual decline in salinity limited the full adaptation of S.pharaonis.Biochemical indicators and osmoregulation-related gene expression changed similarly.For instance,the trend of malondialdehyde(MAD)as a product of lipid peroxidation reflected the degree of damage to the body by free radicals.The antioxidant system of S.pharaonis could cope with oxidative stress caused by the change in salinity to a certain extent.Osmo-regulation-related genes’expression also showed an optimistic result,that is,S.pharaonis responded positively to the change in sali-nity by adjusting the expression of osmoregulation-related genes.Conversely,the increase in mortality at day 10 also proved the weak adaptation capability of S.pharaonis.This study indicated that S.pharaonis can adapt to a low-salinity environment with a li-mited extent.

Predictors of non-response to cardiac resynchronization therapy implantation in patients with class Ⅰ indications: the markedly dilated left ventricular end-diastolic dimension and the presence of fragmented QRS

Background Cardiac resynchronization therapy(CRT)is a highly effective treatment in patients with a class I recommendation.However,a small proportion of the strictly selected patients still fail to respond.This study was designed to identify predictors of non-response in patients with class I indications for CRT and determine the non-response probability of the patients.Methods A total of 296 consecutive patients with a class I recommendation received CRT from January 2009 to January 2017 were retrospectively analyzed.Multivariate logistic regression analysis was performed to identify predictors for non-response(defined as cardiac death,heart transplantation,or HF hospitalization during 1-year follow-up).Results Among 296 patients,30(10.1%)met non-response.Multivariate analysis demonstrated that non-response to CRT was associated with a fragmented QRS(odd ratio(OR)=2.86,95%CI:1.14–7.12;P=0.025)and left ventricular end-diastolic dimension(LVEDD)≥77 mm(OR=3.02,95%CI:1.17–7.82;P=0.022).Patients with both of the predictors had a non-response probability of 46.2%(95%CI:19.1%–73.3%).Conclusion In patients with left bundle branch block and wider QRS duration,the proportion of non-response to CRT is not low in real world.The presence of the dilated LVEDD or fragmented QRS is a strong predictor of non-response to CRT.The probability of non-response in the patients with the two predictors was 46.2%.

电力动态碳排放责任因子

新型电力系统建设背景下,需要充分发挥海量用电终端具有的储能和灵活用电资源来解决电力系统的实时调节需求,这一调节目标的实现亟需建立合理的引导指标和激励机制。为此,该文提出利用“电力动态碳排放责任因子”激励用电终端进行自律式调节的方法。首先,给出这种方法的基本原则;然后,具体讨论碳排放责任因子的计算方法,再利用电网的实际运行数据说明这种确定电力动态碳排放责任因子方法的有效性和可持续性;最后,通过案例分析建筑等用电终端的灵活性调节潜力。该文提出的电力动态碳排放责任因子,为新型电力系统实现与海量用户侧灵活可调资源间的实时互动提供了新的思路,未来将进一步完善其政策、理论及实际实施等多方面的工作。

儿科医务人员传染病突发事件应急能力评价指标体系构建

目的 构建儿科医务人员应对传染病突发事件的应急能力评价指标体系。方法 以PPRR(预防、准备、反应、恢复)风险管理模型为基础,采用文献研究法和半结构式访谈法初步构建儿科医务人员传染病突发事件应急能力评价体系;采用专家函询法、层次分析法,确定儿科医务人员传染病突发事件应急能力评价体系内容和各指标权重。结果 最终获得一级指标4个、二级指标13个、三级指标37个,并确定相应指标的权重系数。2轮专家函询的问卷回收率分别为100%和94.44%,专家判断系数(Ca)均为0.922,熟悉程度(Cs)均为0.811,权威系数(Cr)均为0.866 5。结论 基于PPRR风险管理模型构建的儿科医务人员传染病突发事件应急能力评价指标具有较高的科学性和实用性,后续仍需在实践中继续优化和完善。

基于明胶-卡拉胶复合基材的新型凝胶糖果制备及性能研究

新型凝胶糖果壁材起骨架支撑和密封芯材的作用,其性能直接决定凝胶糖果的质量。以明胶为壁材的凝胶糖果,具有力学性能好的优点,但热稳定性差。而卡拉胶为壁材时则表现出热稳定性强的特点,但力学性能差,不可在凝胶糖果壁材中单独使用。该文通过明胶、卡拉胶进行复合制备壁材,以提升新型凝胶糖果的力学性能和稳定性,制备出抗性评价(由耐温耐湿性和破裂压力两部分组成)较高的新型凝胶糖果,同时提升凝胶糖果贮藏期内感官评价的稳定性。综合稳定性指标将新型凝胶糖果贮藏期内品质指标综合为一个指标并进行了量化,从而判断新型凝胶糖果在贮藏期内稳定性的变化,进而比较不同贮藏温度下食品的稳定性。该文通过设计优化明胶、卡拉胶复合壁材配方,以明胶、卡拉胶和甘油为自变量,以感官评价和抗性评价为因变量,采用响应面试验确定明胶-卡拉胶壁材的最佳组成为明胶100份、卡拉胶3.4份和甘油30份。在壁材配方组成优化的基础上,分别采用明胶、明胶-卡拉胶复合制备凝胶糖果,并测定其在温度25、35、45℃下,贮藏90 d期间干燥失重和感官评价等品质指标的变化,根据品质指标变化得出其综合稳定性指标。

基于2种色素的pH响应型指示膜的制备及性能研究

目的色素是pH响应型指示膜的重要组成,其性质关系着智能指示膜的响应性能,为了探究不同色素对智能指示膜性能的影响。方法以紫草色素(AERE)和紫甘薯色素(ATH)为pH显色剂,以琼脂糖(AG)为成膜基质、甘油为增塑剂,采用流延法制备得到了AG-AERE和AG-ATH 2种体系pH响应型指示膜。采用FT-IR、SEM对指示膜的微观结构进行了表征,对指示膜的力学性能、水溶解性、水溶胀性、水蒸气透过性等进行了测定,同时还考察了其pH响应性、颜色稳定性及体系中染料迁移等性能。结果AG-AERE体系指示膜在4种实验条件下的颜色稳定性均好于AG-ATH体系指示膜,AG-ATH体系指示膜在不同pH区间的颜色响应变化值明显大于AG-AERE体系指示膜。结论AG-ATH体系指示膜对pH变化更为敏感,更适合作为pH响应型新鲜度指示膜,AG-AERE体系指示膜在水性和酸性食品模拟液中染料迁移较低,而AG-ATH体系指示膜在油脂类食品模拟液中几乎无染料迁移,更适合用于油脂类食品的指示包装。

考虑阶梯式碳交易与电热需求响应的综合能源系统经济调度

在能源安全新战略背景下,推动可再生能源发展、降低碳排放将是未来发展趋势。为了消纳大规模风电的弃风功率以提升电网的调峰能力,首先考虑阶梯式碳交易机制,采用碳交易市场,利用碳交易价格达到控制碳排放的目的;其次基于分时电价形成用户用电舒适度与用热舒适度,构建电热负荷需求响应模型,在掌握电锅炉、储热装置和热需求可时移特性的基础上,通过风电供给价格弹性系数描述风电出力与电锅炉协议电价之间的变化;最后通过综合满意度指标评估负荷响应能力,构建了考虑需求响应和阶梯式碳交易机制的含蓄热式电锅炉综合能源系统优化调度模型,实现系统经济运行,并采用CPLEX求解器对所构建模型进行求解。结果表明所提方法能够有效促进风电消纳,减少碳排放量且有效降低系统运行成本。

基于肝活检比较肝硬度值和血清学模型对慢性乙型肝炎获得持续病毒学应答人群肝纤维化的诊断效能

目的 基于肝病理Scheuer评分比较肝硬度值(LSM)和血清学模型对获得持续病毒学应答(MVR)的慢性乙型肝炎(CHB)人群肝纤维化分期的诊断效能。方法 纳入86例符合MVR且丙氨酸转氨酶正常、Scheuer评分G<2的CHB患者,收集并计算患者LSM及天冬氨酸转氨酶/血小板计数、基于4因子的肝纤维化指数、天冬氨酸/丙氨酸转氨酶、γ-谷氨酰转移酶/血小板、S指数、AGAP评分、King's指数、Forns指数等。根据肝活检Scheuer评分分组:轻微纤维化组35例(1≤S<2)、显著纤维化组41例(2≤S≤3)、进展期纤维化组10例(3<S≤4),对3组患者进行Scheuer分期与LSM和血清学模型之间Spearman相关性研究;用受试者操作特征曲线下面积(AUC)比较LSM与各血清学模型对S≥2及S≥3的诊断效能,并进行亚组分析,探讨LSM和血清学模型对不同乙型肝炎e抗原状态的诊断效能。结果 3组患者无创纤维化指标基线数据差异有统计学意义(P<0.05)。除天冬氨酸/丙氨酸转氨酶外,LSM和血清学模型与Scheuer分期均呈正相关关系,LSM相关性最大(rs=0.615,P<0.001)。在Scheuer分期S≥2、S≥3时,LSM-AUC分别为0.818、0.887,均高于血清学模型,尤其S≥3时,差异有统计学意义(P<0.05);AGAP评分+Forns指数+LSM-AUC(0.905)较LSM-AUC(0.887)有所提高,但差异无统计学意义(P=0.313)。在Scheuer分期S≥2、S≥3时,LSM在乙型肝炎e抗原阴性组AUC均高于乙型肝炎e抗原阳性组。结论 LSM诊断CHB-MVR患者纤维化效能高于各血清模型,尤其对乙型肝炎e抗原阴性CHB-MVR患者评估作用更强。但LSM用于肝纤维化动态进展评估效能的稳定性需做更长期的队列研究验证。

宁夏草原蝗虫优势种和指示种及其对植被群落的响应

为探究宁夏草原蝗虫群落优势种、指示种及其对植被不同类群的响应关系,2019—2020年在宁夏温性草甸草原、温性草原、温性荒漠草原和温性草原化荒漠选取典型调查样地,对不同草原类蝗虫优势种、指示种及其对不同植被群落的响应关系进行了分析研究。结果显示:白纹雏蝗(Chorthippus albonemus)作为宁夏四类草原共同优势种,与禾本科和菊科盖度、高度、生物量之间呈显著正相关(P<0.05);短星翅蝗(Calliptamus abbreviatus),亚洲小车蝗(Oedaleus asiaticus)和赤翅皱膝蝗(Angaracris rhodopa)作为温性草原指示种蝗虫,与禾本科植被盖度、频度和生物量呈显著正相关(P<0.05);红缘短鼻蝗(Filchnerella rubimargina)和黑腿星翅蝗(Calliptamus barbarus)作为温性草原化荒漠的优势种,与其他科植被盖度和生物量呈显著负相关关系(P<0.05)。因此,科学监测禾本科与菊科植被分布较广的草原类型将有助于蝗虫有效监测和及时防控,进一步为草原管理和蝗虫可持续治理提供支撑。

新型电力负荷资源响应性能量化评估指标体系研究

随着能源和信息通信技术的快速发展,新型负荷资源参与运行控制已成为电网运行的重要成分。新型负荷资源的响应存在差异性和不确定性,准确地量化评估电网新型负荷资源的响应性能成为电网运行的重要任务。为此,在电网运行控制角度,建立了电网新型负荷资源需求响应性能评估体系,定义了反映响应及时性、响应准确性、响应可靠性和响应利用率的各项指标和计算方法,并通过示例,演示了需求响应各项响应性能指标的计算过程,通过对3种不同响应的响应性能指标的比较,验证了提出的响应性能量化评估指标符合响应性能的直观判断,还能提供更全面的评估信息,能够准确评估新型负荷资源的响应性能,为电网运行控制、需求响应的考核结算提供了依据。

肿瘤病理完全缓解的手术指征及治疗决策探讨

肿瘤新辅助治疗后病理完全缓解患者肿瘤组织内无残留癌细胞,预后较好,但术前评估无法精准判断,需依赖术后病理证实。这就引发了评估为临床完全缓解的患者手术适应证及临床决策的讨论。对于达到临床完全缓解的患者,并非都能实现病理完全缓解,存在复发风险。“观察等待”策略是偏保守的管理方法,需客观对待癌症治疗中的“确定性”,包容其“不确定性”,如新辅助治疗后经评估为临床完全缓解,在不影响患者生活质量的同时,综合考虑病情及患者意愿,医患共同决策下制定“观察等待”策略可作为一种可选方案。

绿水螅野生型品系及无藻品系对聚苯乙烯纳米颗粒胁迫差异化响应的转录组分析

为探究中国绿水螅(Hydra sinensis)体内有或无共生藻是否影响水螅宿主对聚苯乙烯纳米颗粒(Polystyrene nanoparticles, PS NPs)的耐受性,研究首先对绿水螅野生型品系(体内有共生藻)及绿水螅无藻品系(体内无共生藻)分别进行PS NPs (粒径20 nm) 48h急性毒理实验,结果显示野生型品系48h半致死浓度(3.36×10^(2) mg/L)明显高于无藻品系(1.39×10^(2) mg/L),这表明与无藻品系相比,野生型品系对PS NPs具有较强的耐受性。随后采用含75 mg/L PS NPs的培养液对绿水螅野生型品系及无藻品系处理48h后分别进行转录组分析(对照组PS NPs浓度为0 mg/L),在野生型品系的PS NPs处理组与对照组间共筛选到1532个差异表达基因(Differentially expressed genes, DEGs),其中763个DEGs表达上调, 769个DEGs表达下调;而无藻品系的PS NPs处理组与对照组间共筛选到1079个DEGs,其中476个DEGs表达上调, 603个DEGs表达下调。基于PS NPs胁迫下无藻品系的DEGs显著富集的病态指征相关的14个KEGG (Kyoto Encyclopedia of Genes and Genomes)代谢通路中,有9个通路包含的DEGs全部表达上调;而基于PS NPs胁迫下野生型品系的DEGs显著富集的病态指征相关的21个KEGG代谢通路中,只有1个通路包含的DEGs全部表达上调。由此可见, PS NPs胁迫下无藻品系病态指征的激活水平显著高于野生型品系,此现象从分子水平证明了野生型品系对PS NPs胁迫的耐受性强于无藻品系。此外,从PS NPs胁迫下无藻品系显著富集的免疫应答相关KEGG代谢通路中的21个DEGs全部表达上调,而从PS NPs胁迫下野生型品系显著富集的免疫应答相关KEGG代谢通路中的27个DEGs仅约一半表达上调,说明PS NPs胁迫下野生型品系免疫应答的激活水平明显低于无藻品系,这反映了野生型品系对PS NPs的免疫应答敏感性低于无藻品系。总之,绿水螅两个品系在对PS NPs的免疫应答敏感性上的差异应是两个品系对PS NPs胁迫耐受性差异的分子基础;而相对于绿水螅无藻品系而言,野生型品系对PS NPs具有较低的免疫应答敏感性可能与水螅-单细胞藻共生体系中水螅宿主为维持与共生藻的共生关系而进行的免疫水平调整(即水螅宿主为“容留”共生藻而“调低”了对外来异物的免疫水平)的机制相关。研究为探讨纳米级塑料颗粒的生物毒性及分子机理提供了基础数据。

电网友好型建筑运行评价方法研究与关键影响因素识别

建筑通过与电网稳定交互及响应电网需求,能够有效缓解电网供需平衡压力。然而,目前仍缺少适用于分时电价场景下的建筑运行友好性评价方法,对影响建筑友好运行的关键影响因素尚不明晰。本文提出了适用于分时电价场景的运行评价方法,包括友好型电量指标、友好型功率指标与友好型综合评价指标;并提出了电网友好型建筑调度优化框架,用于支撑识别系统友好运行的关键影响因素。基于典型案例分析了分布式光伏发电、主动式储能设备、被动式建筑虚拟储能对建筑运行友好性的贡献。案例结果表明:综合利用3种柔性资源能够降低12.61%的运行成本;此外,建筑侧柔性资源的使用能够有效提升建筑运行友好性,并且主动式储能设备对建筑友好运行的贡献最为突出。本文提出的评价指标和分析结果可为电网友好型建筑的设计和应用提供指导。

泥岩生物气有利储层的识别及含气性评价

随着开发的不断深入,研究区SH地区作为非主力层的第四系泥岩生物气田已经成为油田增储上产的重要勘探开发目标。这类储层由于岩性颗粒细小、泥质含量高、厚度小、成岩性差、孔隙结构复杂、非均质性强,导致储层与非储层的测井响应对比度低、有利储层识别困难。同时,高地层水矿化度及富集黄铁矿造成储层流体识别评价困难。利用自然伽马、中子等常规测井曲线,构建含砂指数F_(SD)来表征储层含砂特征,计算泥质含量,识别划分有利储层。利用三孔隙度曲线差值比值法、合成声波时差差值法以及改进的中子-声波时差交会含气指示法等多种方法综合识别储层的含气性。在试气、生产数据刻度下,利用构建的储层含气指数FGAS建立储层含气饱和度计算模型。多种方法综合应用,效果良好,为泥岩生物气的测井精细综合评价提供了技术支撑。

Prioritizing Indicators for Rapid Response in Global Health Security:A Bayesian Network Approach

This study explored a Bayesian belief networks(BBNs)approach,developing two distinct models for prioritizing the seven indicators related to the“rapid response to and mitigation of the spread of an epidemic”category within the context of both the specifc category and the Global Health Security Index(GHS index).Utilizing data from the 2021 GHS index,the methodology involves rigorous preprocessing,the application of the augmented naive Bayes algorithm for structural learning,and k-fold cross-validation.Key fndings show unique perspectives in both BBN models.In the mutual value of information analysis,“linking public health and security authorities”emerged as the key predictor for the“rapid response to and mitigation of the spread of an epidemic”category,while“emergency preparedness and response planning”assumed precedence for the GHS index.Sensitivity analysis highlighted the critical role of“emergency preparedness and response planning”and“linking public health and security authorities”in extreme performance states,with“access to communications infrastructure”and“trade and travel restrictions”exhibiting varied signifcance.The BBN models exhibit high predictive accuracy,achieving 83.3%and 82.3%accuracy for extreme states in“rapid response to and mitigation of the spread of an epidemic”and the GHS index,respectively.This study contributes to the literature on GHS by modeling the dependencies among various indicators of the rapid response dimension of the GHS index and highlighting their relative importance based on the mutual value of information and sensitivity analyses.

卫星运输过程振动信号正弦等效分析方法

以卫星运输过程中的最大加速度幅值作为减振指标不能全面反映卫星受载情况。文章运用峰值等效原理,将运输振动信号转换为等效的正弦振动信号,然后将之与卫星验收级正弦振动试验响应结果进行对比,得出卫星运输过程对减振指标的具体要求。结果表明:运用振动信号正弦等效的分析方法物理意义明确,能够有效表征卫星在运输过程中经受的力学环境,可为卫星结构及包装箱减振系统的设计提供更明确的依据。对包装箱进行设计时,也可采用文中所述方法对卫星安装界面处所受合力和合力矩进行计算,使其不超过卫星验收级正弦振动试验的量级。

Development of Spectral Features for Monitoring Rice Bacterial Leaf Blight Disease Using Broad-Band Remote Sensing Systems

As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae pv.oryzae), has become widespread in east China in recent years. Significant losses in rice yield occurred as a result ofthe disease’s epidemic, making it imperative to monitor RBLB at a large scale. With the development of remotesensing technology, the broad-band sensors equipped with red-edge channels over multiple spatial resolutionsoffer numerous available data for large-scale monitoring of rice diseases. However, RBLB is characterized by rapiddispersal under suitable conditions, making it difficult to track the disease at a regional scale with a single sensorin practice. Therefore, it is necessary to identify or construct features that are effective across different sensors formonitoring RBLB. To achieve this goal, the spectral response of RBLB was first analyzed based on the canopyhyperspectral data. Using the relative spectral response (RSR) functions of four representative satellite or UAVsensors (i.e., Sentinel-2, GF-6, Planet, and Rededge-M) and the hyperspectral data, the corresponding broad-bandspectral data was simulated. According to a thorough band combination and sensitivity analysis, two novel spectralindices for monitoring RBLB that can be effective across multiple sensors (i.e., RBBRI and RBBDI) weredeveloped. An optimal feature set that includes the two novel indices and a classical vegetation index was formed.The capability of such a feature set in monitoring RBLB was assessed via FLDA and SVM algorithms. The resultdemonstrated that both constructed novel indices exhibited high sensitivity to the disease across multiple sensors.Meanwhile, the feature set yielded an overall accuracy above 90% for all sensors, which indicates its cross-sensorgenerality in monitoring RBLB. The outcome of this research permits disease monitoring with different remotesensing data over a large scale.