A fishbone lodged in the tongue:a case report

Fishbones are relatively common foreign bodies found in the throat,with the tonsils and tongue base being frequent locations for them to lodge.However,foreign bodies within the tongue are clinically infrequent,and their displacement is intricately linked to the shape of the object,duration of lodgement,and the fiber orientation during tongue muscle movement.This article reports a case of a foreign body lodged in the tongue,treated at Xianning Central Hospital in April 2024.

Application of Multiple Sensor Data Fusion for the Analysis of Human Dynamic Behavior in Space: Assessment and Evaluation of Mobility-Related Functional Impairments

The authors have applied a systems analysis approach to describe the musculoskeletal system as consisting of a stack of superimposed kinematic hier-archical segments in which each lower segment tends to transfer its motion to the other superimposed segments. This segmental chain enables the derivation of both conscious perception and sensory control of action in space. This applied systems analysis approach involves the measurements of the complex motor behavior in order to elucidate the fusion of multiple sensor data for the reliable and efficient acquisition of the kinetic, kinematics and electromyographic data of the human spatial behavior. The acquired kinematic and related kinetic signals represent attributive features of the internal recon-struction of the physical links between the superimposed body segments. In-deed, this reconstruction of the physical links was established as a result of the fusion of the multiple sensor data. Furthermore, this acquired kinematics, kinetics and electromyographic data provided detailed means to record, annotate, process, transmit, and display pertinent information derived from the musculoskeletal system to quantify and differentiate between subjects with mobility-related disabilities and able-bodied subjects, and enabled an inference into the active neural processes underlying balance reactions. To gain insight into the basis for this long-term dependence, the authors have applied the fusion of multiple sensor data to investigate the effects of Cerebral Palsy, Multiple Sclerosis and Diabetic Neuropathy conditions, on biomechanical/neurophysiological changes that may alter the ability of the human loco-motor system to generate ambulation, balance and posture.

Foreign body granuloma in the tongue differentiated from tongue cancer:A case report

BACKGROUND Embedded foreign bodies in the tongue are rarely seen in clinical settings.An untreated foreign body can cause a granuloma which often presents as an enlarged tongue mass.However,if foreign body ingestion status is unknown,physical examination and magnetic resonance imaging(MRI)tend to lead to suspicion of tongue cancer,especially in older patients.Thus,differential diagnosis of an enlarged tongue mass is important,especially because it is closely related to the choice of treatment method.CASE SUMMARY A 61-year-old woman was admitted to the hospital with pain and noticeable swelling in the tongue that had persisted for over 1 mo.She had no previous medical history.MRI revealed abnormal signal intensities that were indicative of a neoplasm.Thus,the oral surgeon and radiologist arrived at a primary diagnosis of tongue cancer.The patient visited the Ear Nose and Throat Department for further consultation and underwent an ultrasound examination of the tongue.The ultrasonography was consistent with a linear hyperechoic foreign body which was indicative of an embedded foreign body(bone)in the tongue,even though the patient denied any history of foreign body ingestion.Complete surgical enucleation of the lesion was conducted.The mass which included a fish bone was completely removed.The post-operative pathological examination confirmed that the mass was a granuloma containing collagen fibers,macrophages and chronic inflammatory cells.The patient recovered without complications over a 2 mo follow-up period.CONCLUSION We report a rare case of foreign body granuloma in the tongue that was primarily diagnosed as tongue cancer.The MRI and ultrasound examinations revealed a piece of bone in the left lateral aspect of the tongue.The granuloma,which contained a fish bone,was completely removed via surgery and confirmed via biopsy.Differential diagnosis of the enlarged tongue mass was critical to the selection of treatment method.

Evaluation of the Changes in Anterior Segment Morphology with Ultrasound Biomicroscopy after Vitrectomy without Use of Tamponade in Pseudophakic Eyes

Aim: In this study we investigated the changes in anterior segment morphology in pseudophakia patients that underwent ultrasound biomicroscopy (UBM) after pars plana vitrectomy (PPV) operation without use of tamponade. Method: Pseudophakic patients who undergo PPV were enrolled in this prospective study between October 2012 and April 2015. Study included patients in whom intraocular tamponade was not used during PPV operation. UBM measurements were performed both before and 10 days after the operation. Anterior chamber depth (ACD) was measured using axial images of anterior segment. Trabecular meshwork-iris angle (TIA), ciliary body thickness (CBT), sclera thickness (ST), trabecular meshwork-ciliary process distance (T-CPD), iris-ciliary processes distance (I-CPD), and iris thickness (IT) were measured at temporal quadrant based on radial section images of the angle. Values measured before and after the operation were statistically compared with each other. Results: This study included 30 patients (18 females, 12 males) that underwent an operation ultrasound biomicroscopy (UBM) after pars plana vitrectomy (PPV) operation without use of tamponade. Mean age was 69.6 ± 9.1 (55 - 85) years. Eighteen operations occurred on the left eye whereas twelve operations occurred on the right eye. CBT1, CBT2, CBT Max, T-CPD, and I-CPD were significantly decreased after operation when compared with the values of baseline (before) (p = 0.018, p = 0.012, p = 0.001, p = 0.033, p = 0.015, respectively). Other evaluated parameters did not show statistically significant changes after the operation (p > 0.05). Discussion: PPV results in significant changes in ciliary body morphology together with changes in anterior segment parameters in pseudophakic cases.

A Novel Apprehension of the Primary Lung Meridian, Sinew Channel, Divergent Channel, Luo-Connecting Channel Acting as a Single Unit System to Serve Respiration Function Based on Modern Neurophysiology and Kinesiology

The TCM philosophy of a meridian and associated channels pertains to the specific function of one or more organs. We define the Lung Primary Meridian (LUM) together with the Lung Sinew (LUSC), Divergent (LUDC), Luo-connecting (LULCC) Channels as a system of routes plus some parts of the body (such as muscles) to fulfil respiration, as a main function under different situations. There is very limited information about the Lung associated channels in classical literature of TCM. With a clear focus on the function of respiration, we have carried out a detailed analysis of the biomedical consequence of stimulating the LUM, analysed the roles played by LUSC, LUDC, and LULCC. The updated LUM and LUDC include acupoints of other meridians, serving the same purpose of performing satisfactory respiration starting from checking the quality of the inflow through the nose. The LUSC includes the respiratory muscles (plus the associated connective tissues) extending to various parts of the body. The muscles of the limb (as part of the LUSC) embrace the nerves that provide routes for somatosensory reflexes and play the role of locomotion, providing voluntary respiration via the pectoralis muscles. The muscles of LUSC are bounded by stiff connective tissue layers, forming compartments, and are part of the pulley system for various body locomotions. Within a compartment, the interstitial fluid, blood, lymph flows must be potent to protect the associated nerves related to LUM;the healthy state of the LUSC also provides freedom of various types of locomotion. The LULCC exists because the vagus nerve has a part of it passing through the spinal cords all the way down to the sacrum domain, with exiting nerve innervating two-third of the large intestine. The crucial steps of our deductions are supported by experimental evidence based on modern neurophysiology and kinesiology. We discover that all the four channels stated above work as a unit system to allow respiration to be possible under various postures/conditions. The complexity of structures and processes is eased off by providing 29 figures and 13 tables for the relevant muscles and nerves. In addition to respiration, the Lung system in TCM context includes interaction of this system with the sweat gland and neuroendocrine system;such aspects will be left to another study.

Theoretical Analysis and Experimental Verification on Valve-less Piezoelectric Pump with Hemisphere-segment Bluff-body

Existing researches on no-moving part valves in valve-less piezoelectric pumps mainly concentrate on pipeline valves and chamber bottom valves, which leads to the complex structure and manufacturing process of pump channel and chamber bottom. Furthermore, position fixed valves with respect to the inlet and outlet also makes the adjustability and controllability of flow rate worse. In order to overcome these shortcomings, this paper puts forward a novel implantable structure of valve-less piezoelectric pump with hemisphere-segments in the pump chamber. Based on the theory of flow around bluff-body, the flow resistance on the spherical and round surface of hemisphere-segment is different when fluid flows through, and the macroscopic flow resistance differences thus formed are also different. A novel valve-less piezoelectric pump with hemisphere-segment bluff-body （HSBB） is presented and designed. HSBB is the no-moving part valve. By the method of volume and momentum comparison, the stress on the bluff-body in the pump chamber is analyzed. The essential reason of unidirectional fluid pumping is expounded, and the flow rate formula is obtained. To verify the theory, a prototype is produced. By using the prototype, experimental research on the relationship between flow rate, pressure difference, voltage, and frequency has been carried out, which proves the correctness of the above theory. This prototype has six hemisphere-segments in the chamber filled with water, and the effective diameter of the piezoelectric bimorph is 30mm. The experiment result shows that the flow rate can reach 0.50 mL/s at the frequency of 6 Hz and the voltage of 110 V. Besides, the pressure difference can reach 26.2 mm H20 at the frequency of 6 Hz and the voltage of 160 V. This research proposes a valve-less piezoelectric pump with hemisphere-segment bluff-body, and its validity and feasibility is verified through theoretical analysis and experiment.

Application of artificial intelligence in tongue diagnosis of traditional Chinese medicine:A review

Tongue diagnosis is an important process to non-invasively assess the condition of a patient’s internal organs in traditional Chinese medicine(TCM)and each part of the tongue is related to corresponding internal organs.Due to continuing computer technological advances,especially the artificial intelligence(AI)methods have achieved significant success in tackling tongue image acquisition,processing,and classification,novel AI methods are being introduced in traditional Chinese medicine tongue diagnosis medical practices.Traditional tongue diagnose depends on observations of tongue characteristics,such as color,shape,texture,moisture,etc.by traditional Chinese medicine physicians.The appearance of the tongue color,texture and coating reflects the improvement or deterioration of patient’s conditions.Moreover,AI can now distinguish patient’s condition through tongue images,texture or coating,which is all possible increasingly with help from traditional Chinese medicine physicians under the traditional Chinese medicine tongue theory.AI has enabled humans to do what was previously unimagined:traditional Chinese medicine tongue diagnosis with feeding a large amount of tongue image and tongue texture/coating data to train the AI modes.This review focuses on the research advances of AI in TCM tongue diagnosis thus far to identify the major scientific methods and prospects.In this article,we tried to review the AI application in resolving the tongue diagnosis of traditional Chinese medicine on color correction,tongue image extraction,tongue texture/coating segmentation.

Template Guided Live Wire and Its Application on Automatic Extraction of Tongue in Digital Image

In this paper, we propose a novel automatic object extraction algorithm, named the Template Guided Live Wire, based on the popularly used live-wire techniques. We discuss in details the novel method’s applications on tongue extraction in digital images. With the guides of a given template curve which approximates the tongue’s shape, our method can finish the extraction of tongue without any human intervention. In the paper, we also discussed in details how the template guides the live wire, and why our method functions more effectively than other boundary based segmentation methods especially the snake algorithm. Experimental results on some tongue images are as well provided to show our method’s better accuracy and robustness than the snake algorithm.

Deer Body Adaptive Threshold Segmentation Algorithm Based on Color Space

In large-scale deer farming image analysis,K-means or maximum between-class variance(Otsu)algorithms can be used to distinguish the deer from the background.However,in an actual breeding environment,the barbed wire or chain-link fencing has a certain isolating effect on the deer which greatly interferes with the identification of the individual deer.Also,when the target and background grey values are similar,the multiple background targets cannot be completely separated.To better identify the posture and behaviour of deer in a deer shed,we used digital image processing to separate the deer from the background.To address the problems mentioned above,this paper proposes an adaptive threshold segmentation algorithm based on color space.First,the original image is pre-processed and optimized.On this basis,the data are enhanced and contrasted.Next,color space is used to extract the several backgrounds through various color channels,then the adaptive space segmentation of the extracted part of the color space is performed.Based on the segmentation effect of the traditional Otsu algorithm,we designed a comparative experiment that divided the four postures of turning,getting up,lying,and standing,and successfully separated multiple target deer from the background.Experimental results show that compared with K-means,Otsu and hue saturation value(HSV)+K-means,this method is better in performance and accuracy for adaptive segmentation of deer in artificial breeding scenes and can be used to separate artificially cultivated deer from their backgrounds.Both the subjective and objective aspects achieved good segmentation results.This article lays a foundation for the effective identification of abnormal behaviour in sika deer.

Tongue image segmentation and tongue color classification based on deep learning

Objective To propose two novel methods based on deep learning for computer-aided tongue diagnosis,including tongue image segmentation and tongue color classification,improving their diagnostic accuracy.Methods LabelMe was used to label the tongue mask and Snake model to optimize the labeling results.A new dataset was constructed for tongue image segmentation.Tongue color was marked to build a classified dataset for network training.In this research,the Inception+Atrous Spatial Pyramid Pooling(ASPP)+UNet(IAUNet)method was proposed for tongue image segmentation,based on the existing UNet,Inception,and atrous convolution.Moreover,the Tongue Color Classification Net(TCCNet)was constructed with reference to ResNet,Inception,and Triple-Loss.Several important measurement indexes were selected to evaluate and compare the effects of the novel and existing methods for tongue segmentation and tongue color classification.IAUNet was compared with existing mainstream methods such as UNet and DeepLabV3+for tongue segmentation.TCCNet for tongue color classification was compared with VGG16 and GoogLeNet.Results IAUNet can accurately segment the tongue from original images.The results showed that the Mean Intersection over Union(MIoU)of IAUNet reached 96.30%,and its Mean Pixel Accuracy(MPA),mean Average Precision(mAP),F1-Score,G-Score,and Area Under Curve(AUC)reached 97.86%,99.18%,96.71%,96.82%,and 99.71%,respectively,suggesting IAUNet produced better segmentation than other methods,with fewer parameters.Triplet-Loss was applied in the proposed TCCNet to separate different embedded colors.The experiment yielded ideal results,with F1-Score and mAP of the TCCNet reached 88.86% and 93.49%,respectively.Conclusion IAUNet based on deep learning for tongue segmentation is better than traditional ones.IAUNet can not only produce ideal tongue segmentation,but have better effects than those of PSPNet,SegNet,UNet,and DeepLabV3+,the traditional networks.As for tongue color classification,the proposed network,TCCNet,had better F1-Score and mAP values as compared with other neural networks such as VGG16 and GoogLeNet.

Management and treatment of bizarre open globe trauma in three steps:a case report

This is a case presentation of a very bizarre open globe trauma with anterior segment foreign body-fishing hook stuck in the cornea and iris. Complications due to this kind of eye trauma might be very hazardous and with serious impact on visual function. We are representing our approach and experience of three step management of this kind of eye injury: first-extract the foreign body, close and reconstruct the eyeball, second-fight inflammation, and third-restore the visual function by cataract surgery.

Occurrence of Fibonacci numbers in development and structure of animal forms: Phylogenetic observations and epigenetic significance

A survey of zoological literature affirmed the wide occurrence of Fibonacci numbers in the organization of acellular and prokaryotic life forms as well as in some eukaryotic protistans and in the embryonic development and adult forms of many living and fossil remains of metazoan animals. A detailed comparative analysis of the axial skeleton of a fossil fish and humans revealed a new rule of the “nested triad” of bones organized along the proximal to distal axis of limb appendages. This growth pattern and its ubiquity among living vertebrates appear to underlie a profound rule of pattern formation that is dictated in part by the genetics and epigenetic mechanisms of stem cell clonal development.

基于BodyPix的非接触式人体测量

人体测量技术是服装制造业中一个重要的环节,一种便捷、高效率、高精度的人体测量技术可为服装行业的制造提供数据基础。针对传统二维图像人体测量方法中过程繁琐、耗时等问题,提出将基于TensorFlowj.s的BodyPix应用到人体测量中的新思路,在BodyPix分割工具获取到人体二维分割图像的基础上通过像素点扫描的方法把人体各部位的图像尺寸转换为真实尺寸,可以有效提高服装行业中在面对批量服装定制时量体的速度。实验结果中人体的围度误差在-0.969^+0.855,长度误差在-0.944^+0.723。有效提高了人体测量的精准性和测量速度,表明了将BodyPix应用到人体测量中的鲁棒性。

Establishing and validating a spotted tongue recognition and extraction model based on multiscale convolutional neural network

Objective In tongue diagnosis,the location,color,and distribution of spots can be used to speculate on the viscera and severity of the heat evil.This work focuses on the image analysis method of artificial intelligence(AI)to study the spotted tongue recognition of traditional Chinese medicine(TCM).Methods A model of spotted tongue recognition and extraction is designed,which is based on the principle of image deep learning and instance segmentation.This model includes multiscale feature map generation,region proposal searching,and target region recognition.Firstly,deep convolution network is used to build multiscale low-and high-abstraction feature maps after which,target candidate box generation algorithm and selection strategy are used to select high-quality target candidate regions.Finally,classification network is used for classifying target regions and calculating target region pixels.As a result,the region segmentation of spotted tongue is obtained.Under non-standard illumination conditions,various tongue images were taken by mobile phones,and experiments were conducted.Results The spotted tongue recognition achieved an area under curve(AUC)of 92.40%,an accuracy of 84.30%with a sensitivity of 88.20%,a specificity of 94.19%,a recall of 88.20%,a regional pixel accuracy index pixel accuracy(PA)of 73.00%,a mean pixel accuracy(m PA)of73.00%,an intersection over union(Io U)of 60.00%,and a mean intersection over union(mIo U)of 56.00%.Conclusion The results of the study verify that the model is suitable for the application of the TCM tongue diagnosis system.Spotted tongue recognition via multiscale convolutional neural network(CNN)would help to improve spot classification and the accurate extraction of pixels of spot area as well as provide a practical method for intelligent tongue diagnosis of TCM.

自走式马铃薯捡拾装袋机设计与试验

针对马铃薯分段收获中,人工捡拾劳动强度大、效率低、成本高的问题,设计了一种自走式马铃薯捡拾装袋机。该自走式马铃薯捡拾装袋机能一次性完成马铃薯捡拾、薯土分离、除秧和装袋的工作。阐述了自走式马铃薯捡拾装袋机整体结构,并对捡拾装置、升运链装置、三级输送链装置、分拣台以及卸料装置等关键部件进行详细设计;运用DEM-MBD耦合的方法对马铃薯在两级输送链交接处的运动过程及受力情况进行分析;运用Box-Behnken试验方法,以漏薯率和伤薯率为评价指标,以整机前进速度、捡拾装置输送链线速度、升运链线速度、三级输送链线速度为试验因素,对该机工作参数进行四因素三水平试验,使用Design-Expert软件建立二次多项式回归模型。对回归模型进行优化后,绘制响应面,并得出该机最优工作参数。田间试验表明:当前进速度为0.70 m/s、捡拾装置输送链线速度为1.10 m/s、升运链线速度为1.20 m/s、三级输送链线速度为1.30 m/s时,漏薯率为2.82%,伤薯率为3.61%,满足马铃薯捡拾收获作业要求。

基因体甲基化在舌粘膜癌变中的变化

目的了解舌粘膜癌变中基因体甲基化的差异表达基因。方法用浓度50 mg/L的4-硝基喹啉-1-氧化物(4NQO)诱导C57BL/6小鼠舌癌。基因芯片和甲基化DNA免疫沉淀测序(MeDIP-Seq)检测0周、12周、28周(代表正常、癌前、癌变)的舌粘膜的基因表达和基因组DNA甲基化。在人正常舌粘膜和癌前病变组织中用qRT-PCR和飞行质谱检测泛素羧基水解酶CYLD的mRNA表达和基因体甲基化。结果正常、癌前和舌癌3组间基因体MeDIP-score(mean±s)分别是(5.58±14.80)、(5.79±13.35)、(5.83±17.25),差异无统计学意义(H=100.75,P>0.05)。3组间145个差异表达基因伴基因体甲基化改变。CYLD在人癌前病变组织中表达降低伴有基因体甲基化降低(P<0.05)。结论舌粘膜癌变有多个基因体甲基化异常的差异表达基因,CYLD在人癌前病变中低表达可能与基因体甲基化有关。

基于多模态图像信息及改进实例分割网络的肉牛体尺自动测量方法

[目的/意义]牛的体尺参数是反映牛身体发育状况的关键指标,也是牛选育过程的关键因素。为解决规模化肉牛牧场复杂环境对肉牛体尺的测量需求,设计了一种图像采集装置以及体尺自动测量算法。[方法]首先搭建肉牛行走通道,当肉牛通过通道后进入限制装置,用英特尔双目深度相机D455对牛只右侧图像进行RGB与深度图的采集。其次,为避免复杂环境背景的影响,提出一种改进后的实例分割网络Mask2former来对牛只二维图进行前景轮廓提取,对轮廓进行区间划分,利用计算曲率分析方法找到所需体尺测点。然后,将原始深度图转换为点云数据,对点云进行点云滤波、分割和深度图牛只区域的空值填充,以保留牛体区域的点云完整,从而找到所需测点并返回到二维数据中。最后,将二维像素点投影到三维点云中,利用相机参数计算出投影点的世界坐标,从而进行体尺的自动化计算,最终提取肉牛体高、十字部高、体斜长和管围4种体尺参数。[结果与讨论]改进的实例分割网络与Mask R-CNN、PointRend、Queryinst等模型相比具有更好的分割结果。采用本研究测得的这4种体尺平均相对误差分别为4.32%、3.71%、5.58%和6.25%。[结论]本研究开发的肉牛图像采集装置及相应的图像处理方法可以满足该牧场对肉牛体尺无接触自动测量误差小于8%的精度要求,为非接触式肉牛体尺自动化测量提供了理论与实践指导。

基于四电极多频率扫描的生物阻抗法人体成分测试仪设计

生物阻抗包含丰富的人体病理和生理电信号,可以作为医务人员准确判断病人症状和治疗疾病的主要依据。基于此,提出一种基于Cole-Cole理论的人体多种参数测量系统。构建人体阻抗模型,通过碳纳米材料电极对人体阻抗进行采集分析,得到人体的各种成分参数。通过信号发生电路产生注入人体的低频信号,利用幅度检测电路检测流经人体电流产生的电压,采用分段检测法测得人体不同分段的阻抗信息;信号经放大电路输入RT1052微处理器,对数据和人体成分参数相关性进行分析,得到人体各种成分参数并显示测量结果。通过对系统进行测试分析,得出所设计系统能够准确地对人体蛋白质、脂肪等参数进行测量,误差范围可以控制在5%以内,具有很好的应用前景。

带辅助轮摆臂的履带式机器人越障能力分析

履带式移动机器人因具有良好的环境适应性被广泛应用于军事和安全领域。为了改善现有摆臂履带式机器人结构复杂、重量和体积较大等不足,进一步提高其越障能力,提出一种带辅助轮摆臂的履带式移动机器人,设计该机器人的几何模型,分析其越障机理,推导摆臂的正逆运动学方程,分别建立有/无滑移条件下机器人的运动学模型。采用柔性体有限段模型法建立履带的多体动力学仿真模型。通过履带滑转率、机器人主体质心高度,履带与地面接触力及摆轮受力的变化,综合分析该机器人越障时的动力性能。在越阶、爬坡和越沟壑不同工况下,提出的带辅助轮摆臂的履带式机器人表现出良好的越障性能。

融合GLAS与Landsat的湖泊蓄水量季节性监测及预测

为实现高海拔区域湖泊蓄水量监测与预测,提出了一种融合ICESat/GLAS与Landsat数据监测并预测湖泊蓄水量季节性变化的方法。利用随机森林对GLAS激光脚点自动分类,解决湖面非水体与水体目标分类难的问题;结合水体指数和大津法自动分割Landsat数据中的水体,降低不规则边界的影响;联合GLAS和Landsat数据,构建高时间分辨率的水位、面积与蓄水量时序列变化关系,解决两类数据观测信息缺失及观测时间不匹配的问题;并利用LSTM模型,预测蓄水量变化。以西藏纳木错湖为例,对上述方法进行验证,结果显示2003-2009年纳木错湖水位上升1.15 m,面积增加25.58 km2,蓄水量增加2.30 km^(3);预测2010-2016年蓄水量增加1.16 km^(3),与实际情况相符。结果表明,该方法可为生态环境的动态监测提供数据支撑。