Significant improvement after sensory tricks and trunk strength training for Parkinson’s disease with antecollis and camptocormia:A case report

BACKGROUND Patients with Parkinson's disease(PD)exhibit symptoms such as antecollis(AC)and camptocormia(CC).The pathology of these two conditions is unclear.Additionally,standard treatment methods have not been established.The article reports the case of a 65-year-old female patient with AC and CC who was treated with central and peripheral interventions to alleviate symptoms.CASE SUMMARY We present the case of a 65-year-old female PD patient with AC and CC.The course of the disease was 5 years.She was treated with rehabilitation strategies such as sensory tricks and trunk strength training.During the inpatient period,we compared and analyzed the patient's gait,rehabilitation assessment scale score,and angles of her abnormal trunk posture in the first week,the third week,and the fifth week.The patient's stride length increased,indicating that the patient's walking ability was improved.The Unified Parkinson's Disease Scale Part Three score and CC severity score decreased.Furthermore,the score of the other scale increased.In addition,the patient showed significant improvements in AC,upper CC,and lower CC angles.CONCLUSION This case study suggested that sensory tricks and trunk strength training are beneficial and safe for patients with AC and CC.

Simultaneous Compression of the Celiac Trunk, Superior Mesenteric Artery, and Renal Arteries by the Median Arcuate Ligament: About One Case

Median arcuate ligament syndrome (MALS), is a rare abdominal vascular compression syndrome caused by the compression of the proximal celiac trunk by the median arcuate ligament. According to many authors, a low insertion of the diaphragmatic crura or an abnormally high origin of the celiac trunk from the aorta can cause compression of the celiac artery. Usually, patients with MALS are asymptomatic. Computed tomography (CT) angiography of the abdomen is the main imaging modality to confirm the diagnosis. The coexistence of celiac trunk and superior mesenteric artery compression by the median arcuate ligament is rarely described in the literature. To our knowledge, until now, a simultaneous combination of three abdominal vascular compressions by the median arcuate ligament has never been described. From this case, we report a simultaneous compression of the celiac trunk, superior mesenteric artery, and renal arteries by the median arcuate ligament.

VLAN网络中Trunk与VTP技术的应用与仿真研究

文章介绍VLAN的应用,以及Trunk和VTP技术的原理。针对不同VLAN拓扑及应用场景讨论Trunk和VTP技术在VLAN网络通信中的应用与实现;基于Cisco Packet Tracer仿真软件,利用VLAN相关协议以及Trunk和VTP技术创建用户逻辑分组、进行拓扑设计、搭建跨交换机的VLAN网络仿真平台,对实际应用场景进行模拟和仿真。通过仿真验证Trunk和VTP技术在VLAN网络通信中的高效性和可靠性,为组建真实的企业网络环境提供可借鉴的参考。

A tree detection method based on trunk point cloud section in dense plantation forest using drone Li DAR data

Single-tree detection is one of the main research topics in quantifying the structural properties of forests. Drone Li DAR systems and terrestrial laser scanning systems produce high-density point clouds that offer great promise for forest inventories in limited areas. However, most studies have focused on the upper canopy layer and neglected the lower forest structure. This paper describes an innovative tree detection method using drone Li DAR data from a new perspective of the under-canopy structure. This method relies on trunk point clouds, with undercanopy sections split into heights ranging from 1 to 7 m, which were processed and compared, to determine a suitable height threshold to detect trees. The method was tested in a dense cedar plantation forest in the Aichi Prefecture, Japan, which has a stem density of 1140 stems·ha^(-1) and an average tree age of 42 years. Dense point cloud data were generated from the drone Li DAR system and terrestrial laser scanning with an average point density of 5000 and 6500 points·m^(-2), respectively. Tree detection was achieved by drawing point-cloud section projections of tree trunks at different heights and calculating the center coordinates. The results show that this trunk-section-based method significantly reduces the difficulty of tree detection in dense plantation forests with high accuracy(F1-Score=0.9395). This method can be extended to different forest scenarios or conditions by changing section parameters.

An Anatomical and Radiological Study of Origins of the Arteries Forming the Celiac Trunk: Clinical and Embryological Implications

The blood supply to the most of abdominal organs is provided by the branches of CT. The SMA supply caecum, ascends colon, all of the small bowels except the upper part of duodenum. Knowledge of variable anatomy of celiac axis and SMA may be useful in planning and executing radiological interventions such as celiacography and chemoembolization of hepatic and pancreatic tumors. In this study, the uncommon or low percentage cases of CT and SMA are presented in the light of clinical and embryological information. The celiac axises of a total of 30 adult corpses were examined. Dissections of abdominal region were performed in detail according to Cunningham’s manual. Angiographic images of 100 consecutive adult patients who underwent celiac MDCT angiography were evaluated. During autopsies, an incomplete celiac trunk or bifurcation of celiac trunk associated with the hepatomesenteric and gastrosplenic trunks (0.7%) and a celiacomesenteric trunk associated with high origin superior mesenteric artery and gastrosplenic trunk were detected (0.7%). During MDCT angiography, a case of total absence of celiac trunk associated with a hepatosplenomesenteric trunk (0.7%) and also a case of total absence of celiac trunk alone were observed (0.7%). The persistence or unusual development of ventral splanchnic arteries (VSAs) or ventral longitudinal anastomosis may result in variations or the unusual trunks related to celiac axis and SMA. The anomalous trunks of the CT may be result of either the persistence of some parts of the VSAs or ventral longitudinal anastomose that normally disappear or disappearance of parts that normally persist. The prevalence of unusual trunks of celiac axis and SMA in this study is quite low in literature. These abnormal vessels pose problems for surgeons and radiologists. Such vascular anomalies may cause clinical complications following surgical and radiological procedures such as resection of tumor of the pancreatic head, lymphadenectomy, coeliacography, aortic replacement with reimplantation of the trunk and coembolization of pancreatic and liver tumors.

Trunk volume estimation of irregular shaped Populus euphratica riparian forest using TLS point cloud data and multivariate prediction models

Background: Trunk volume(Vt) is an essential parameter for estimating forest stand volume, biomass, and carbon sequestration potential. As the dominant tree species in desert riparian forests, Euphrates poplar(Populus euphratica) has a high proportion of irregularly shaped tree trunks along the Tarim River, NW China, where the habitat is very fragile owing to long-term water stress. This causes uncertainty in estimation accuracy as well as technical challenges for forest surveys. Our study aimed to acquire P. euphratica Vtusing terrestrial laser scanning(TLS) and to establish a species-specific Vtprediction model.Methods: A total of 240 individual trees were measured by TLS multiple-station in 12 sampling plots in three sections along the lower reaches of the Tarim River. Vtwas calculated by a definite integration method using trunk diameters(Di) at every 0.1-m tree height obtained from TLS, and all data were split randomly into two sets:70% of data were used to estimate the model parameter calibration, and the remaining 30% were used for model validation. Sixteen widely used candidate tree Vtestimation models were fitted to the TLS-measured Vtand tree structural parameter data, including tree height(H), diameter at breast height(DBH), and basal diameter(BD). All model performances were evaluated and compared by the statistical parameters of determination coefficient(R^(2)),root mean square error(RMSE), Bayesian information criterion(BIC), mean prediction error(ME), mean absolute error(MAE), and modeling efficiency(EF), and accordingly the best model was selected.Results: TLS point cloud reflection intensity(RI) has advantageous in the extraction of data from irregular tree trunk structures. The P. euphratica tree Vtvalues showed obvious differences at the same tree height(H). There was no significant correlation between Vtand H(R^(2)=0.11, P < 0.01), which reflected the irregularity of P. euphratica trunk shape in the study area. Among all the models, model(14): Vt=0.909DBH1.184H0.487BD0.836(R^(2)=0.97, RMSE=0.14) had the best prediction capability for irregularly shaped Vtwith the highest R^(2), BIC(-37.96), and EF(0.96), and produced a smaller ME(0.006) and MAE(1.177) compared to other models. The prediction accuracy was 93.18%.Conclusions: TLS point cloud RI has a potential for nondestructively measuring irregularly shaped trunk structures of P. euphratica and developed Vtprediction models. The multivariate models more effectively predicted Vtfor irregularly shaped trees compared to one-way and general volume models.

Possibilities of Assessing Respiratory Muscle Strength and Trunk Muscle Mass in the Prevention of Sarcopenia in Older People Living in the Community

Objective: The purpose of this study was to clarify the relationship between respiratory muscle strength and skeletal muscle mass (trunk, upper limbs, and lower limbs) in older people who were certified as requiring nursing or supportive care. Methods: Thirty-five older people (65 years or older) who were certified as requiring nursing care or support were included in the study. The subjects were divided into a non-sarcopenic group (n = 12) and a sarcopenic group (n = 23) according to the sarcopenia diagnostic criteria proposed by the Asian Working Group for Sarcopenia. Maximum inspiratory pressure, maximum expiratory pressure, skeletal muscle mass (trunk, upper and lower limbs), and hand grip strength were measured. Pearson’s correlation coefficient and multiple regression analysis were used for statistical processing. Results: In the non-sarcopenic group, both expiratory muscle strength and hand grip strength were correlated with skeletal muscle mass. In the sarcopenia group, expiratory muscle strength was not correlated with skeletal muscle mass, and only hand grip strength was correlated with upper limb muscle mass. Multiple regression analysis revealed that, in the non-sarcopenic group, trunk muscle mass was the primary factor in expiratory muscle strength and upper limb muscle mass was the primary factor in hand grip strength. In the sarcopenia group, upper limb muscle mass was found to be the main factor in hand grip strength. Conclusion: Our results highlight the importance of assessing expiratory muscle strength and trunk muscle mass before sarcopenia develops in older people who require support and nursing care.

Modeling Date Palm Trunk Fibers (DPTF) Packed Bed Adsorption Performances for Cadmium Removal from Aqueous Wastewater

In this study,the potential of a low-cost bio-adsorbent,taken directly from Date Palm Trunk Fibers(DPTF)agricultural wastes,for cadmium ions removal from wastewaters is examined.The performances of this adsorbent are evaluated by building breakthrough curves at different bed heights and flow rates while keeping other parameters,such as the initial feed concentration,pH,and particle size,constant.The results indicate that the maximum cadmium adsorption capacity of DTPF can be obtained from the Thomas model as 51.5 mg/g with the most extended mass transfer zone of 83 min at the lowest flow rate at 5 ml/min.The saturation concentrations(NO)and the rate constant(kab)obtained from the BDST(bed depth service time)model are 7022.16 mg/l and 0.0536 l/mg.min,respectively.Using the Yon-Nelsen Model,it is found that operating at a lower flow rate leads to a larger value of the elapsed needed time to reach a 50%breakthrough.The Wolborska model indicates that the bed capacity increases with decreasing the flow rate,and the adsorbent can achieve a greater external mass transfer kinetic coefficient(2.271/min)at a higher flow rate.

咯血患者甲状颈干异位支气管动脉解剖分析和栓塞治疗

目的分析咯血患者中起源于甲状颈干的异位支气管动脉解剖特点和栓塞治疗。方法回顾性分析2020年1月至2023年7月在湖州市中心医院接受支气管动脉栓塞术(BAE)治疗的连续565例咯血患者临床资料。所有患者BAE前均接受多层螺旋CT血管造影(MDCTA)检查,其中519例BAE期间同时行锁骨下动脉及其分支DSA检查。对发现起源于甲状颈干支气管动脉的解剖、影像学表现及BAE情况进行初次描述。结果21例患者中有22支起源于甲状颈干的异位支气管动脉。根据开口位置及血管走行,22支甲状颈干异位支气管动脉中13支(59.1%)为Ⅰ型,4支(18.2%)为Ⅱ型,4支(18.2%)为Ⅲ型,1支(4.5%)为Ⅳ型。有5支(22.7%)异位支气管动脉与其他支气管动脉交通。所有异位支气管动脉均经BAE栓塞成功,术后均未发生严重并发症。结论MDCTA联合锁骨下动脉及其分支DSA可显示起源于甲状颈干异位支气管动脉的解剖学特征。超选择性BAE栓塞此类支气管动脉安全有效。

精表处在公路预防性养护中的应用研究

沥青路面长期暴露在自然条件下,受外界因素的影响,经常出现各种各样的病害,大部分病害都是逐渐形成的。因此,道路的预防性养护工作要得到足够重视,在病害早期阶段就加以控制。预防性养护就是在既有路面上加一个不超过4 cm的薄层,经过研究精表处可以提高沥青路面的防水性能、抗滑性能,对路面的平整度和行车舒适性也会有明显改善。该文以某省道为例,经过路况调查评价,使用精表处对预防性养护路段进行处理,精表处施工前后,渗水系数、摩擦系数、构造深度均有明显改善。精表处施工无需加热,对于资源节约、环境保护方面可以起到积极的作用,同时还具有养护成本低、质保时间长等优点。

基于牛脸和躯干综合信息的奶牛个体识别研究

针对基于单一信息对奶牛个体身份识别精度低的问题,本文提出1种基于牛脸和躯干综合信息对奶牛个体身份识别的方法。在Mask R-CNN目标检测模型的基础上进行改进,将注意力机制模块引入到Mask R-CNN的ResNet50特征提取网络的输出阶段,能够在图像通道和空间上增强奶牛身份信息。针对奶牛不同部位,本文对改进前后的Mask R-CNN模型分别基于牛脸、基于躯干以及基于牛脸和躯干综合信息进行了相关实验。实验结果表明,原始Mask R-CNN模型基于牛脸和躯干综合信息进行奶牛个体识别,比单独基于牛脸或躯干的识别精度提高2.3%~3.7%。改进后的Mask R-CNN模型在自建奶牛图像数据集上的准确率达到了93.63%,mAP值达到92.16%,相较于原始Mask R-CNN,准确率提高了2.92%,mAP值提高了2.63%。本文方法能够实现对养殖场环境下奶牛个体身份的识别,可为奶牛的精准养殖提供技术支持。

基于深度学习的森林移动机器人树干检测

基于视觉导航的森林移动机器人具有机器人作为边缘设备算力有限、导航效果受光照影响较大的问题。为此,提出一种轻量化的树干检测方法,该方法基于YOLOv7-tiny模型,采用可见光图像与热成像图像作为输入,导航效果受光照影响较小;同时采用基于部分通道卷积(Partial Convolution,PConv)的特征提取模块-部分通道卷积高效层聚合网络(Partial Efficient Layer Aggregation Networks,P-ELAN),对基准模型进行轻量化改进;在训练阶段用alpha-CIoU损失函数替换原始的CIoU损失函数,提高边界框回归的准确性。结果表明,所提出的森林移动机器人树干检测方法相较于原始YOLOv7-tiny模型参数量减少31.7%,计算量减少33.3%,在图形处理器(Graphics Processing Unit,GPU)和中央处理器(Central Processing Unit,CPU)上的推理速度分别提升了33.3%和7.8%。修改后的模型在保持对树干检测精度基本不变的基础上更加轻量化,成为部署在机器人等边缘设备上的理想选择。

从同步数据分析乔木树干液流与气象因子的关系

[目的]树干液流是研究植物蒸腾耗水的重要生理指标,树种和气象因子均是其关键影响因素。本文旨在消除树种因素限制,探讨树干液流与气象因子之间的关系。[方法]以哈尼梯田水源区3种林分中10种乔木树种为研究对象,采用Granier热扩散探针技术测定其树干液流速率,将其同步数据与气象因子进行关联分析。[结果]从次生落叶阔叶林和原生常绿阔叶林的7779条乔木树干液流速率数据中发现7条异常数据,且这些异常数据在各个树种中都表现出同步一致性;进一步关联分析表明,太阳辐射的突然增加是产生乔木树干液流数据同步上升的主要原因,而降雨则是产生树干液流数据同步下降的主要原因,两者的变化可导致其他气象因子发生变化,从而影响树干液流速率;树干液流与气象因子存在一定的时滞效应,在发生同步异常数据的气候条件下,树干液流滞后太阳辐射0~30 min,提前于饱和水汽压差、气温和湿度0~60 min,滞后或提前时间远小于正常气候条件下各树种的时滞时间。[结论]乔木树干液流受到太阳辐射和降雨等气象因子的综合调节,其中太阳辐射的影响最为显著。研究结果可为从生理生态角度探究乔木的蒸腾作用与气象因子的关系提供科学依据。

西安市幸福路跨陇海铁路总体方案研究

随着城市发展以及对中心区域的提质优化,那些在中心城区中存在的特别难以优化提升且制约因素较多的断头路,近些年来越来越引起相关职能部门及领导的重视。本文通过对交通瓶颈区域的建设空间进行调查,分析总结了通道限制因素,以提高区域交通效率、均衡路网流量、增强交通服务功能等为目标,通过系统性地对交通状况进行分析,优化立交节点方案,强化通道的可实施性,以期为今后类似通道项目设计提供技术参考。

基于博弈的干支交汇水域船舶汇入意图识别

文中基于博弈理论和船舶碰撞危险度量方法,构造包含安全收益、时间收益和规则约束的汇入决策收益函数,采用船舶冲突排序运算方法量化确定汇入决策时机,构建干支交汇水域船舶汇入意图识别模型.为精准估计模型权重,以决策收益最大化为下层目标,意图识别误差最小化为上层目标,设计基于双层优化方法的模型参数估计框架.运用长江江苏段实测数据验证了所提模型的有效性.结果表明:本文所提模型的汇入意图识别准确率达到了94.64%.

基于3D点云分析的果园行间穿梭机器人路径规划方法

针对现有果园导航方法易受冠层密度、光照条件、种植不规整、地面不平整等条件影响,导致用于实现自主导航的树行方向估计方法与行尾识别方法稳定性低的问题,本文提出基于3D点云分析的果园行间穿梭路径规划方法,该路径规划方法包含树行识别定位方法、场景识别方法、路径规划方法,用于密植果园机器人行间自主穿梭的导航系统。首先,设计了基于点云语义分割网络的果树树干点云提取方法,实现了树行的识别与定位;其次,设计了基于卷积神经网络的位置场景识别方法,实现了行头等位置的场景识别;最后,设计了基于有限状态机的行间行进策略管理方法与基于RS曲线的行间路径规划方法,实现了果园多行连续行走。基于本文方法的树干点云分割平均交并比为88.3%,果树平均定位误差为2.04%(x方向)、1.54%(y方向),树行方向估计平均误差为1.11°,行尾识别正确率为96%,行内中线行走平均偏差为0.08 m。实验结果表明,本文所提出路径规划方法能够满足果园环境下树行定位与位置场景识别准确性要求,有效规划行间穿梭路径,为果园激光自主导航提供有效参考。

江汉平原引种45年生黑杨派品种生长过程比较

以江汉平原引种的3个45年生黑杨派品种‘I-63’、‘I-69’和‘I-72’为研究对象,通过截取不同高度的圆盘进行树干解析,比较不同品种胸径、树高及材积生长过程,旨在为江汉平原黑杨大径材培育提供数据和技术支撑。结果表明,这3个品种的去皮胸径分别达到58.35、61.70、53.60 cm,树高分别为24.84、22.14、27.79 m,去皮材积分别为3.92、3.93、3.11 m^(3)。3个品种的胸径连年生长量最大值分别出现在第5年、第6年、第5年,树龄超过17年后胸径生长明显放缓;树高连年生长量最大值分别出现在第8年、第4年、第6年,树龄超过20年后树高生长接近峰值;材积年平均生长量最大值分别出现在第18年、第15年、第16年。对应3个品种的材积成熟龄,统计发现,‘I-63’、‘I-69’、‘I-72’材积速生期分别在第8~18、6~15、7~16年。整体来看,3个品种都具有较长的寿命和生长期,在江汉平原表现出极好的适应性,相对来说‘,I-69’干型较好,生长表现更为优良,推广价值更高。

基于SVM的干线输气管道泄漏压降速率信号识别

为解决压缩机抽吸或截断阀截断形成的压降信号导致截断阀发生误关断,以及小孔泄漏因管道压降不显著导致截断阀不动作的问题,以某输气干线为对象建立仿真模型,获取压缩机抽吸、截断阀紧急截断及管道泄漏3类不同工况下的300组压降信号,根据对点检测法计算出压降信号的压降速率值;以奇异值分解(SVD)法和极差归一化方法提取压降速率信号特征,采用支持向量机(SVM)法识别不同压降速率特征值信号,获取所对应的工况类型;针对SVM模型中的核函数参数与惩罚因子设置不合理,影响算法识别准确性的问题,采用教与学优化算法(TLBO)优化核函数参数与惩罚因子,建立干线输气管道泄漏信号智能识别的TLBO-SVM模型;应用该模型,分类识别该管道在3类工况下的300组模拟压降速率信号。结果表明:该模型对3类不同工况下压降速率信号的识别准确率为92.22%;对泄漏口径为50~125 mm,压降速率范围为0.01~0.07 MPa/min的小孔泄漏,识别准确率为96.67%。针对某干线管道的实际泄漏压降速率信号,TLBO-SVM识别到的准确率为100%。

彩色多普勒超声在腹腔干与肠系膜上动脉共干畸形中的诊断价值

目的:探讨彩色多普勒超声在腹腔干与肠系膜上动脉共干畸形(celio-mesenteric trunk,CMT)中的诊断价值.方法:选取2009年1月至2024年6月于本院行超声检查的6例腹腔干与肠系膜上动脉共干畸形患者为研究对象,观察并分析彩色多普勒超声表现.结果:6例CMT畸形中,2例为短干型,共同动脉干长均约3mm,超声表现为CMT从腹主动脉发出后立即分为腹腔干及肠系膜上动脉.长干型4例,共同动脉干长约15~20mm,共同动脉干从腹主动脉发出后,走行较长一段距离后分出腹腔干和肠系膜上动脉.结论:彩色多普勒超声对CMT具有重要的诊断价值.

基于激光雷达与相机融合的树干检测方法

针对传统传感器在树干检测中的局限性和单一性,提出一种基于激光雷达与相机融合的树干检测方法.首先,利用深度图对激光雷达点云进行处理,实现地面点云去除以及树干点云聚类,并在聚类中设置横、纵向自适应阈值,去除聚类中墙体、杂草、树叶等多余信息;然后,利用YOLOv3算法对相机图像进行分析,基于树干特征实现目标识别并返回检测框与类别信息;最后,基于交并比方法(IoU)对2种传感器的检测结果进行融合,识别树干并返回其三维信息与位置信息.以无人割草机为载体开展场地测试,实验结果表明:融合算法的树干检测准确率在93.1%左右,树干定位横、纵向平均误差分别为0.075 m和0.078 m,能够满足无人割草机的树干检测要求,为智能农机的环境感知提供了一种新的方法.