Expression change of stem cell-derived neural stem/progenitor cell sup-porting factor gene in injured spinal cord of rats

Objective To explore the expression change of stem cell-derived neural stem/progenitor cell supporting factor （SDNSF） gene in the injuried spinal cord tissues of rats, and the relation between the expressions of SDNSF and nestin. Methods The spinal cord contusion model of rat was established according to Allen＇s falling strike method. The expression of SDNSF was studied by RT-PCR and in situ hybridization （ISH）, and the expression of nestin was detected by immunochemistry. Results RT-PCR revealed that SDNSF mRNA was upregulated on day 4 after injury, peaked on day 8-12, and decreased to the sham operation level on day 16. ISH revealed that SDNSF mRNA was mainly expressed in the gray matter cells, probably neurons, of spinal cord. The immunohistochemistry showed that accompanied with SDNSF mRNA upregulation, the nestin-positive cells showed erupted roots, migrated peripherad and proliferation on the 8-day slice. However, the distribution pattern of these new cells was different from that of SDNSF-positive cells. Conclusion （1） SDNSF is expressed in the gray matter of spinal cord. The expression of SDNSF mRNA in the spinal cord varies with injured time. （2） The nestin-positive cells proliferate accompanied with spinal cord injury repair, but do not secrete SDNSF.

Aeroelastic modeling of wind loading on a cable-net supported glass wall

Wind loading study on a cable-net supported glass wall is conducted by means of wind tunnel tests. An equiva- lent aeroelastic model is designed and constructed. Response of displacements of the wall is measured and analyzed. In order to design a glass wall under wind loading, the ＂wind- vibration factor＂ is estimated and discussed. In fact, the mech- anism of wind acting on the wall is commonly known not only as positive pressure, but also as negative pressure caused by the flow separation on the corners of the building. Due to the diffidence in the mechanism of wind acting, two typi- cal response cases are classified. The results show that the dynamic response of the structure caused by the negative pressure is stronger than that of the positive pressure case. To determine the aerodynamic wind loading on a flexible part of structure on a building, wind tunnel study may be useful and play an important role.

Evaluation of C and P Factors in Universal Soil Loss Equation on Trapping Sediment: Case Study of Santubong River

Universal Soil Loss Equation (USLE) is the most comprehensive technique available to predict the long term average annual rate of erosion on a field slope. USLE was governed by five factors include soil erodibility factor (K), rainfall and runoff erodibility index (R), crop/vegetation and management factor (C), support practice factor (P) and slope length-gradient factor (LS). In the past, K, R and LS factors are extensively studied. But the impacts of factors C and P to outfall Total Suspended Solid (TSS) and % reduction of TSS are not fully studied yet. Therefore, this study employs Buffer Zone Calculator as a tool to determine the sediment removal efficiency for different C and P factors. The selected study areas are Santubong River, Kuching, Sarawak. Results show that the outfall TSS is increasing with the increase of C values. The most effective and efficient land use for reducing TSS among 17 land uses investigated is found to be forest with undergrowth, followed by mixed dipt. forest, forest with no undergrowth, cultivated grass, logging 30, logging 10^6, wet rice, new shifting agriculture, oil palm, rubber, cocoa, coffee, tea and lastly settlement/cleared land. Besides, results also indicate that the % reduction of TSS is increasing with the decrease of P factor. The most effective support practice to reduce the outfall TSS is found to be terracing, followed by contour-strip cropping, contouring and lastly not implementing any soil conservation practice.

Weight Data Fusion Based on Mutual Support Applied in Large Diameter Measurement

The on-line diameter measurement of larger axis workpieces is hard to achieve high precision detection, because of the bad environment of locale, the problem to amend the measuring error by non-uniform temperature field, and the difficulty to collimate and locate by usual method. By improving the measurement accuracy of larger axis accessories, it is useful to raise axis and hole＇s industry produce level. Because of the influence of complex environment in locale and some influential factors which are hard excluded from the large diameter measurement with multi-rolling-wheels method, the measurement results may not support or even contradict each other. To the situation, this paper puts forward a mutual support deviation distinguish data fusion method, including mutual support deviation detection and weight data fusion. The mutual support deviation detection part can effectively remove or weaken the unexpected impact on the measurement results and the weight data fusion part can get more accurate estimate result to the detected data. So the method can further improve the reliability of measurement results and increase the accuracy of the measurement system. By using the weight data fusion based on the mutual support （DFMS） to the simulation and experiment data, both simulation results and experiment results show that the method can effectively distinguish the data influenced by unexpected impact and improve the stability and reliability of measurement results. The new provided mutual support deviation distinguish method can be used to single sensor measurement and multi-sensor measurement, and can be used as a reference in the data distinguish of other area. The DFMS is helpful to realize the diameter measurement expanded uncertainty in 5 ×10^-6D or even higher when the measured axis workpiece＇s diameter is 1-5 m （ 1 m ≤ D ≤5 m ）.

Influencing factors and growth state classification of a natural Metasequoia population

By analyzing the importance of influencing factors and conducting a comparative study of the effects of different sorting algorithms, a new method is proposed that is suitable for classifying the growth state of a natural Metasequoia glyptostroboides Hu and W.C. Cheng population. We studied 2817 M. glyptostroboides trees over 100 years old and analyzed their growth state by measuring 15 factors from stumpage, site condition, and environmental data. The dimensionality of all factors were reduced using the random forest algorithm, and we classified the remaining factors using the following algorithms: random forest, back-propagation(BP) neural networks, and support vector machine(SVM). The applicability of each sorting algorithm was analyzed. When all the d factors are used for classification and modeling, the model's overall accuracy,kappa coefficient and test accuracy were 85.5%, 0.739 and 85.8%, respectively. By reducing the dimensionality of the factors using the random forest algorithm, 11 factors most strongly influenced the classifications of the growth state of the Metasequoia population: diameter at breast height,height, crown width, age from stumpage data; longitude,latitude, elevation, slope aspect, gradient and slope position from the site condition data; and the edge of the field from the environmental data. For classifying the Metasequoia population, the random forest algorithm has the highest overall accuracy at 87.2%, which is 3.4 and 2.3% higher than the BP neural networks and SVM algorithms,respectively. The SVM algorithm is superior to the random forest algorithm with respect to classifying the state of mortality. The combination of the random forest and SVM algorithms and their combined information can be used to classify and predict the growth state of this natural M.glyptostroboides population to provide a scientific basis for its effective protection.

Estimation of sand liquefaction based on support vector machines

The origin and influence factors of sand liquefaction were analyzed, and the relation between liquefaction and its influence factors was founded. A model based on support vector machines (SVM) was established whose input parameters were selected as following influence factors of sand liquefaction: magnitude (M), the value of SPT, effective pressure of superstratum, the content of clay and the average of grain diameter. Sand was divided into two classes: liquefaction and non-liquefaction, and the class label was treated as output parameter of the model. Then the model was used to estimate sand samples, 20 support vectors and 17 borderline support vectors were gotten, then the parameters were optimized, 14 support vectors and 6 borderline support vectors were gotten, and the prediction precision reaches 100%. In order to verify the generalization of the SVM method, two other practical samples' data from two cities, Tangshan of Hebei province and Sanshui of Guangdong province, were dealt with by another more intricate model for polytomies, which also considered some influence factors of sand liquefaction as the input parameters and divided sand into four liquefaction grades: serious liquefaction, medium liquefaction, slight liquefaction and non-liquefaction as the output parameters. The simulation results show that the latter model has a very high precision, and using SVM model to estimate sand liquefaction is completely feasible.

维持性血液透析患者心理脆弱现状及影响因素分析

目的:探讨维持性血液透析患者心理脆弱现状及影响因素。方法:采用便利抽样方法选取2023年3—7月桂林医学院附属医院血液净化中心收治的380例维持性血液透析患者。收集所有患者一般资料,评价所有患者心理脆弱情况、社会支持情况。比较不同一般资料患者心理脆弱量表(mental vulnerability questionnaire,MVQ)评分,统计所有患者MVQ评分及领悟社会支持量表(perceived social support scale,PSSS)评分情况。分析维持性血液透析患者MVQ评分及PSSS评分相关性。分析维持性血液透析患者心理脆弱的影响因素。结果:不同文化程度、婚姻状况、居住情况、家庭人均月收入、透析时长、有无并发症患者MVQ评分比较,差异有统计学意义(P<0.05)。维持性血液透析患者心理脆弱呈中等水平,其各维度条目均分由高到低为人际问题、身心症状、精神症状;领悟社会支持呈中等水平。心理脆弱总分、身心症状、精神症状、人际问题评分与社会支持总分、家庭支持、朋友支持、其他支持评分均呈负相关(P<0.05)。居住情况、有无并发症、社会支持是维持性血液透析患者心理脆弱的主要影响因素(P<0.05)。结论:维持性血液透析患者心理脆弱呈中等水平,其中独居、伴有并发症、社会支持是维持性血液透析患者心理脆弱的主要影响因素,应积极制订有效性、针对性的干预措施帮助其降低心理脆弱程度,提高心理健康水平,从而提高生活质量。

老龄化视域下西北农村互助养老需求及影响因素实证分析

目的:了解西北农村地区老年人互助养老需求及其影响因素,为农村互助养老长效发展提供策略和方案。方法:采用自制问卷对西北五省农村60岁以上老年人进行抽样调查。共发放问卷2800份,回收有效问卷2454份,有效回收率87.6%。提出研究假设,建立模型,采用分步Logistic回归分析数据。结果:年龄、身体机能、婚姻状况、居住方式、收入、社会网络关系、互助设施适老程度均对老年人互助养老产生显著影响。结论:老年人对养老服务需求是一种刚性需求,且多样化、个性化、复杂化。由此建议发展农村互助养老应精准、动态评估老人内生需求,建立需求评估机制;以村庄为本位,补齐农村养老短板,建立因地制宜、因人制宜的农村互助养老网络,完善农村互助养体系,提倡一村一策略,一人一方案养老模式,为西北农村互助养老可持续发展提供可行路径。

糖尿病患者自我厌恶现状及影响因素分析

目的了解糖尿病患者自我厌恶现状及其影响因素,为医护人员采取针对性干预改善糖尿病患者心理健康提供参考。方法采用一般情况调查表、自我厌恶量表、医学应对问卷和领悟社会支持量表对274例2型糖尿病患者进行调查。结果糖尿病患者自我厌恶得分(35.46±6.39)分,年龄、糖尿病相关并发症、回避应对、领悟社会支持总分是自我厌恶的主要影响因素(均P<0.05),可预测总变异的49.6%。结论糖尿病患者自我厌恶为中等偏高水平,护理人员应加强对糖尿病患者自我厌恶水平的评估和筛查,加强对年轻、有糖尿病相关并发症的患者的干预,帮助患者减少其回避行为,并增强其领悟社会支持水平,从而降低其自我厌恶水平。

肺癌患者自我超越现状及影响因素分析

背景与目的肺癌患者存在不同程度的自我超越,其能够激发患者的自我意识,推动其积极面对生活中的负性事件,从而改善患者的生活质量及健康结局,但国内关于肺癌患者自我超越的研究鲜有报道,相关影响因素尚未明确。本研究旨在了解肺癌患者自我超越现状并探讨其影响因素,为临床干预决策提供理论依据。方法选取2023年9月至2024年2月在四川大学华西医院肺癌中心入院治疗的243例肺癌患者为研究对象;采用一般资料调查表、自我超越量表、Herth希望量表及社会支持评定量表进行调查,并对肺癌患者自我超越的影响因素进行分析。结果肺癌患者自我超越总均分为(44.73±8.94)分,希望水平总均分为(37.60±4.98)分,社会支持总均分为(41.31±7.27)分。肺癌患者自我超越与希望水平及社会支持均呈正相关(P<0.001,P<0.001)。学历、希望水平及社会支持是肺癌患者自我超越的影响因素(P<0.05,P<0.001,P<0.05)。结论肺癌患者的自我超越处于较低水平,受希望水平与社会支持的影响。医护人员应重视提高肺癌患者的希望水平,开展针对性心理干预,同时引导其增强社会支持感知,从而促进患者自我超越的实现。

社区慢性病共病患者自我同情现状及影响因素分析

目的了解社区慢性病共病患者自我同情现状及其影响因素,为护理人员采取针对性措施促进社区慢性病共病患者的身心健康发展提供科学依据。方法采用一般资料调查问卷、自我同情量表、Herth希望量表和领悟社会支持量表对社区402例慢性病共病患者进行调查。结果社区慢性病共病患者的自我同情得分(79.04±7.82)分。多元线性逐步回归分析显示,希望水平和领悟社会支持水平是社区慢性病共病患者自我同情的影响因素(均P<0.05)。结论社区慢性病共病患者自我同情处于中等水平,护理人员应加强患者自我同情的识别与干预,制订针对性护理方案,充分调动患者及其家庭对慢性病共病相关身心健康管理的积极性,以提升社区慢性病共病患者的自我同情水平。

代际支持视角下脑卒中失能患者就医行为的影响因素研究

目的研究脑卒中失能患者就医行为现状及主要影响因素,探讨代际支持对脑卒中失能患者就医行为的影响,为促进其合理就医行为提供理论依据。方法采用便利抽样法,于2023年1月至3月对608例脑卒中防治工程管理专项数据库中的患者进行网络问卷调查,问卷内容包括患者一般资料、失能程度、代际支持情况、就医行为现况4个方面,并使用多因素线性回归分析脑卒中失能患者就医行为的影响因素。结果608例脑卒中失能患者就医行为得分为(30.30±5.22)分、代际支持得分为(16.91±0.83)分。多因素线性回归分析结果显示,年龄、月收入、就医距离、子代陪护照料、就医接送、情感交流程度及情感交流频次为脑卒中失能患者就医行为的影响因素(P<0.05),可解释总变异的41.6%。结论脑卒中失能患者就医行为总体较为合理,代际照料支持和代际情感支持对脑卒中失能患者就医行为呈正向促进作用,应重点关注高龄、低收入水平、居住偏远地区的失能患者,同时制定合适的措施增加子女代际支持能力,以期改善患者就医行为。

慢性心力衰竭患者自我超越水平的影响因素

目的 探究慢性心力衰竭(CHF)患者自我超越水平及其影响因素。方法 回顾性选取2021年5月至2023年5月郑州大学第一附属医院收治的157例CHF患者,分别采用一般资料调查表、中文版自我超越量表(CSTS)、领悟社会支持量表及Herth希望指数量表调查患者一般资料、自我超越水平、领悟社会支持水平及希望水平,分析CHF患者自我超越水平的影响因素。结果 本次调查共发放157份问卷,有效回收146份,有效回收率为92.99%(146/157)。146例CHF患者CSTS评分为(41.26±7.93)分,其中>45分者40份,占比27.40%。不同病程、心功能分级、受教育程度、月收入、领悟社会支持、希望水平患者CSTS评分比较,差异有统计学意义(P<0.05)。多元线性回归分析显示,心功能分级Ⅲ级是CSTS评分升高的危险因素,大专及以上、月收入>10 000元、高水平领悟社会支持、高度希望水平是CSTS评分升高的保护因素(P<0.05)。结论 CHF患者自我超越水平主要与心功能分级、受教育程度、月收入、领悟社会支持水平、希望水平有关,针对上述因素制定防治措施有助于提高自我超越水平,改善心理状态。

Influence of endogenous ciliary neurotrophic factor on neural differentiation of adult rat hippocampal progenitors

Ciliary neurotrophic factor is the only known neurotrophic factor that can promote differentiation of hippocampal neural progenitor cells to glial cells and neurons in adult rats. This process is similar to spontaneous differentiation. Therefore, ciliary neurotrophic factor may be involved in spontaneous differentiation of neural stem cells. To verify this hypothesis, the present study isolated neural progenitor cells from adult male rats and cultured them in vitro. Results showed that when neural progenitor cells were cultured in the absence of mitogen fibroblast growth factor-2 or epidermal growth factor, they underwent spontaneous differentiation into neurons and glial cells. Western blot and immunocytochemical staining showed that exogenous ciliary neurotrophic factor strongly induced adult hippocampal progenitor cells to differentiate into neurons and glial cells. Moreover, passage 4 adult hippocampal progenitor cells expressed high levels of endogenous ciliary neurotrophic factor, and a neutralizing antibody against ciliary neurotrophic factor prevented the spontaneous neuronal and glial differentiation of adult hippocampal progenitor cells. These results suggest that the spontaneous differentiation of adult hippocampal progenitor cells is mediated partially by endogenous ciliary neurotrophic factor.

基于拉丁超立方抽样的高大模板支撑体系承载力有限元分析

目的研究不同缺陷构配件下高大模板支撑体系承载性能的变化,为高大模板支撑体系的布置、构配件的搭配及使用提供指导,以预防和减少其在实际工程中的坍塌事故。方法基于拉丁超立方抽样,考虑构配件缺陷对三种搭设参数模板支撑体系承载性能的影响,随机取线性屈曲分析中一阶屈曲承载力的0.1%~0.2%作为假想水平力,对构配件性能缺陷进行有限元分析,探究不同搭设参数下支撑体系承载力及失稳模式。结果SPR对承载力的影响大于D和t,并且双因素耦合对承载力的影响大于单因素。立杆步距的变化对支撑体系承载力的影响大于立杆间距。随着影响因素耦合数量的增加,步距对支撑体系承载性能的影响也会随之增大。结论支撑体系搭设过程中将存在缺陷的构配件使用时分散排布,可以防止高大模板支撑体系整体失稳倒塌。

多规范视阈下扣件式钢管支撑体系稳定承载力数值模拟分析

目的 研究多个相关规范关于模架支撑体系的构造差异,分析不同构造形式对扣件式钢管支撑体系的力学性能影响,为架体优化设计和工程应用提供借鉴。方法 基于ANSYS有限元分析软件,建立有限元模型进行数值模拟,通过改变支撑体系扫地杆的位置、横杆步距、立杆纵横向间距、自由端长度、架体高宽比及剪刀撑布设等构造参数,对比不同构造形式的支撑体系稳定承载力数值和杆件内力分布,研究相关构造因素对架体安全性的影响。结果 构造形式对扣件式钢管支撑体系的稳定承载力及位移变形的影响显著;依照不同规范的设计方法,相同的支撑体系力学计算结果差异明显。结论 扫地杆高度在0.4 m以下、步距1.8 m以内、纵横向立杆间距1.5 m以下、自由端高度0.8 m以下、高宽比不超过2或者增强剪刀撑布设能有效提高支撑体系的稳定承载力和安全性;在支撑体系荷载标准值确定、荷载组合方式选取及立杆稳定性验算方面宜优先选用《建筑施工模板安全技术规范》(JGJ162-2008)和《建筑施工扣件式钢管脚手架安全技术规范》(JGJ130-2011)执行;扫地杆、横杆步距、立杆自由端长度和剪刀撑布设以《建筑施工扣件式钢管脚手架安全技术规范》(JGJ130-2011)为宜;对于超过8m的高支模,《建筑施工脚手架安全技术统一标准》(GB51210-2016)的安全储备更高。

营养不良患者再喂养综合征的危险因素分析

目的分析营养不良患者再喂养综合征的危险因素。方法回顾性选取2020年6月—2023年5月北京协和医院收治的104例营养不良患者的临床资料,根据患者再喂养综合征发生情况分为再喂养综合征组(35例)与非再喂养综合征组(69例)。采用单因素分析、多因素分析营养不良患者再喂养综合征的影响因素。结果经单因素分析,两组性别、喂养前胃肠减压、喂养前使用胰岛素、喂养前使用抑酸剂、喂养前使用利尿剂对比,差异无统计学意义(P均>0.05);两组年龄、体重指数、营养风险评估量表2002(Nutritional Risk Screen⁃ing,NRS 2002)、急性生理与慢性健康状况评分(Acute Physiology and Chronic Health EvaluationⅡ,APACHEⅡ)、营养液类型、肠内营养液温度对比,差异有统计学意义(P均<0.05)。经多因素分析,年龄≥55岁、体重指数≥20.5 kg/m^(2)、NRS 2002评分6~7分、APACHEⅡ评分≥20分、使用短肽型营养液、肠内营养液温度36~38℃是营养不良患者再喂养综合征的独立危险因素(OR=2.208、2.230、2.277、2.277、2.140、2.358,P均<0.05)。结论年龄≥55岁、体重指数≥20.5 kg/m^(2)、NRS 2002评分6~7分、APACHEⅡ评分≥20分、使用短肽型营养液、肠内营养液温度36~38℃是营养不良患者再喂养综合征的独立危险因素。因此,在患者临床干预中需加强患者喂养情况的监测,加强喂养护理和营养支持,加强相关影响因素的控制和管理。

弹簧支吊架荷载变化系数的选取与汽水管道支吊架优化设计

目前,我国火力发电厂汽水管道设计标准规定,弹簧吊架荷载变化系数不应大于25%,据此设计的管道系统恒力吊架比例过高,其荷载“非法”转移会造成管道偏离设计线运行,应力升高。分析了恒力吊架恒定度与荷载变化系数的关系并给出了优化设计案例,研究结果表明,在汽水管道设计中适当增大弹簧吊架荷载变化系数,可增大弹簧吊架配置占比,减少管道膨胀异常现象的发生。

老年脑卒中患者自我调节疲劳现状及影响因素分析

目的 探索老年脑卒中患者自我调节疲劳现状及其影响因素。方法 采用便利抽样的方法,选取2021年10月-2022年10月本院神经内科符合标准的357例老年脑卒中患者为研究对象,采用一般资料调查表、自我调节疲劳量表(SPF-S)、心理弹性量表(CD-RISC)和社会支持评定量表(SSRS)进行调查。结果 本研究357例老年脑卒中患者的自我调节疲劳得分为(53.58±14.07)分,各维度条目均分中认知控制得分最高;心理弹性、社会支持与老年脑卒中患者自我调节疲劳得分及各维度呈负相关(-0.613~-0.732,P<0.01);多元回归分析结果中:年龄、婚配情况、病程时长、心理弹性和社会支持等进入回归方程,可解释总变异量的58.6%(P<0.05)。结论 老年脑卒中患者自我调节疲劳程度有待改善,年龄、婚配情况、病程时长是其自我调节疲劳的影响因素;医护人员可通过提高老年脑卒中患者的心理弹性及社会支持水平,降低其自我调节疲劳感。

Changes in compressed neurons from dogs with acute and severe cauda equina constrictions following intrathecal injection of brain-derived neurotrophic factor-conjugated polymer nanoparticles

This study established a dog model of acute multiple cauda equina constriction by experimental constriction injury （48 hours） of the lumbosacral central processes in dorsal root ganglia neurons. The repair effect of intrathecal injection of brain-derived neurotrophic factor with 15 mg encapsulated biodegradable poly（lactide-co-glycolide） nanoparticles on this injury was then analyzed. Dorsal root ganglion cells （LT） of all experimental dogs were analyzed using hematoxylin-eosin staining and immunohistochemistry at 1,2 and 4 weeks following model induction. Intrathecal injection of brain-derived neurotrophic factor can relieve degeneration and inflammation, and elevate the expression of brain-derived neurotrophic factor in sensory neurons of compressed dorsal root ganglion Simultaneously, intrathecal injection of brain-derived neurotrophic factor obviously improved neurological function in the dog model of acute multiple cauda equina constriction. Results verified that sustained intraspinal delivery of brain-derived neurotrophic factor encapsulated in biodegradable nanoparticles promoted the repair of histomorphology and function of neurons within the dorsal root ganglia in dogs with acute and severe cauda equina syndrome.