Global trends and hotspots of type 2 diabetes in children and adolescents:A bibliometric study and visualization analysis

BACKGROUND Epidemiological surveys indicate an increasing incidence of type 2 diabetes mellitus(T2DM)among children and adolescents worldwide.Due to rapid disease progression,severe long-term cardiorenal complications,a lack of effective treatment strategies,and substantial socioeconomic burdens,it has become an urgent public health issue that requires management and resolution.Adolescent T2DM differs from adult T2DM.Despite a significant increase in our understanding of youth-onset T2DM over the past two decades,the related review and evidence-based content remain limited.AIM To visualize the hotspots and trends in pediatric and adolescent T2DM research and to forecast their future research themes.METHODS This study utilized the terms“children”,“adolescents”,and“type 2 diabetes”,retrieving relevant articles published between 1983 and 2023 from three citation databases within the Web of Science Core Collection(SCI,SSCI,ESCI).Utilizing CiteSpace and VoSviewer software,we analyze and visually represent the annual output of literature,countries involved,and participating institutions.This allows us to predict trends in this research field.Our analysis encompasses co-cited authors,journal overlays,citation overlays,time-zone views,keyword analysis,and reference analysis,etc.RESULTS A total of 9210 articles were included,and the annual publication volume in this field showed a steady growth trend.The United States had the highest number of publications and the highest H-index.The United States also had the most research institutions and the strongest research capacity.The global hot journals were primarily diabetes professional journals but also included journals related to nutrition,endocrinology,and metabolism.Keyword analysis showed that research related to endothelial dysfunction,exposure risk,cardiac metabolic risk,changes in gut microbiota,the impact on comorbidities and outcomes,etc.,were emerging keywords.They have maintained their popularity in this field,suggesting that these areas have garnered significant research interest in recent years.CONCLUSION Pediatric and adolescent T2DM is increasingly drawing global attention,with genes,behaviors,environmental factors,and multisystemic interventions potentially emerging as future research hot spots.

Visualizing medicine:The case for implementing graphical abstracts in clinical reporting

Graphical abstracts(GAs)are emerging as a pivotal tool in medical literature,enhancing the dissemination and comprehension of complex clinical data through visual summaries.This editorial highlights the significant advantages of GAs,including improved clarity,increased reader engagement,and enhanced visibility of research findings.By transforming intricate scientific data into accessible visual formats,these abstracts facilitate quick and effective knowledge transfer,crucial in clinical decision-making and patient care.However,challenges such as potential data misrepresentation due to oversimplification,the skill gap in graphic design among researchers,and the lack of standardized creation guidelines pose barriers to their widespread adoption.Additionally,while software such as Adobe Illustrator,BioRender,and Canva are commonly employed to create these visuals,not all researchers may be proficient in their use.To address these issues,we recommend that academic journals establish clear guidelines and provide necessary design training to researchers.This proactive approach will ensure the creation of high-quality GAs,promote their standardization,and expand their use in clinical reporting,ultimately benefiting the medical community and improving healthcare outcomes.

基于TLR4 NF-κB通路-神经相关因子探究依达拉奉对急性脑梗死患者炎症反应与神经损伤的保护机制

目的基于Toll样受体4(TLR4)核因子-κB(NF-κB)通路-神经相关因子探究依达拉奉对急性脑梗死(ACI)患者炎症反应与神经损伤的保护机制。方法选取2020-07—2023-07保定市第一中心医院收治的110例ACI患者,以随机数字表法分为观察组、对照组,各55例,对照组给予阿替普酶溶栓,观察组给予阿替普酶溶栓联合依达拉奉治疗。比较2组疗效、神经功能[美国国立卫生研究院卒中量表(NIHSS)评分、改良Rankin评分]、TLR4 NF-κB通路指标(TLR4、NF-κB)、神经损伤相关因子[神经元特异性烯醇化酶(NSE)、中枢神经特异性蛋白(S-100β)、脑源性神经营养因子(BDNF)]、TLR4 NF-κB通路相关炎症因子[白介素-1β(IL-1β)、超敏C反应蛋白(hs-CRP)、肿瘤坏死因子(TNF-α)、五聚素3(PTX3)、脂蛋白相关磷脂酶A2(Lp-PLA2)]。结果观察组总有效率96.36%,高于对照组的83.64%(P<0.05)。治疗1、2周观察组NIHSS评分、改良Rankin评分均低于对照组(P<0.05),观察组TLR4、NF-κB均低于对照组(P<0.05)。相较于治疗前,2组治疗1、2周后S-100β、NSE水平明显下降,BDNF水平明显升高,观察组S-100β、NSE水平均低于对照组,BDNF水平高于对照组(P<0.05)。相较于治疗前,2组治疗1、2周后IL-1β、hs-CRP、TNF-α、PTX3、Lp-PLA2水平均明显下降,观察组IL-1β、hs-CRP、TNF-α、PTX3、Lp-PLA2水平均低于对照组(P<0.05)。结论依达拉奉对ACI患者的疗效显著,有利于缓解炎症反应,改善神经损伤,其保护机制可能与TLR4 NF-κB通路调控神经损伤、炎症反应相关因子有关。

Visual Semantic Segmentation Based on Few/Zero-Shot Learning:An Overview

Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block,and it plays a crucial role in environmental perception.Conventional learning-based visual semantic segmentation approaches count heavily on largescale training data with dense annotations and consistently fail to estimate accurate semantic labels for unseen categories.This obstruction spurs a craze for studying visual semantic segmentation with the assistance of few/zero-shot learning.The emergence and rapid progress of few/zero-shot visual semantic segmentation make it possible to learn unseen categories from a few labeled or even zero-labeled samples,which advances the extension to practical applications.Therefore,this paper focuses on the recently published few/zero-shot visual semantic segmentation methods varying from 2D to 3D space and explores the commonalities and discrepancies of technical settlements under different segmentation circumstances.Specifically,the preliminaries on few/zeroshot visual semantic segmentation,including the problem definitions,typical datasets,and technical remedies,are briefly reviewed and discussed.Moreover,three typical instantiations are involved to uncover the interactions of few/zero-shot learning with visual semantic segmentation,including image semantic segmentation,video object segmentation,and 3D segmentation.Finally,the future challenges of few/zero-shot visual semantic segmentation are discussed.

双偶氮苯-二苯并[b,i]噻蒽-[2,3-b]苯-5,7,12,14-四酮衍生物分子的二阶非线性光学性质

使用密度泛函理论(DFT)M06-2X方法、采用6-311+g(d,p)基组,分别对26个双偶氮-二苯并[b,i]噻蒽-[2,3-b]苯-5,7,12,14-四酮衍生物分子进行结构优化与频率计算;使用含时密度泛函理论(TD-DFT)TD-M06-2X方法计算了a1~d6分子的前线分子轨道与电子吸收光谱,采用有效场FF方法研究了二阶非线性光学性质(NLO).研究结果表明,26个噻蒽四酮类衍生物分子的能隙在1.33—2.02 eV范围,归属于有机半导体;最低能量吸收峰波长在601.8~609.5nm范围;在增大分子的二阶非线性光学系数β_(μ)(或β_(0))值方面,含相同偶氮苯基团或含不同偶氮苯基团分别引入到二苯并[b,i]噻蒽-[2,3-b]苯-5,7,12,14-四酮分子两侧的2,10位优于2,9位,在2,10位分别端接含推、拉基团的偶氮苯优于含相同给电子基团的偶氮苯.在偶氮苯苯环对位分别端接强吸电子基(-NO_(2))与强供电子基(如-N(CH_(3))_(2)、-N(Ph)_(3)、-N-苯基咔唑等)可增强体系的二阶非线性光学性能,获得性能良好的非线性光学材料.

中药单体治疗脊髓损伤后神经炎症:核转录因子κB信号通路的作用

背景:基于核转录因子κB通路探究神经炎症的靶向治疗越来越值得探究,中药靶点多、范围广、机制丰富及不良反应少等优点在治疗各类疾病时都具有十分巨大的潜力。目的:基于核转录因子κB信号通路,对近年研究中出现的山奈酚、红花黄、汉黄芩苷及雷公藤甲素等中药单体治疗脊髓损伤后神经炎症的研究进展进行系统的阐述与归纳。方法:以“脊髓损伤,炎症,抗炎,中药单体,单体化合物,NF-κB信号通路,黄酮,糖苷,酚类,酯类,生物碱”为检索词在中国知网数据库中进行检索;以“Spinal cord injury,inflammation,anti-inflammatory,traditional Chinese medicine monomer,monomeric compound,NF-κB signaling pathway,flavonoids,glycosides,phenols,esters,alkaloids”为检索词在PubMed数据库中进行检索,最终共纳入67篇文献进行综述分析。结果与结论:①核转录因子κB信号通路在神经系统中的作用复杂多样,能够调控中性粒细胞、小胶质细胞、星形胶质细胞和巨噬细胞等,介导损伤后炎症的发生与发展;②中药单体如汉黄芩苷对核转录因子κB抑制蛋白的降解、红花黄素对核转录因子κB信号通路磷酸化过程的抑制、山奈酚对核转录因子κB信号通路p65核易位的抑制等作用可以降低炎症反应对机体造成的影响,从而促进神经功能恢复;③核转录因子κB信号通路在损伤早期能够促进炎症反应和免疫细胞迁移活化,在损伤中后期能够促进损伤部位的修复和纤维化的发生等,适当的激活核转录因子κB信号通路具有促进炎症因子的释放、提高细胞的抗氧化能力及促进免疫细胞的活化等能力,但过度激活的核转录因子κB信号通路则容易导致慢性炎症的发生和持续、细胞凋亡受到抑制等;④未来的研究可以进一步探索如何准确调控核转录因子κB信号通路的活化水平、如何实现对神经系统炎症和损伤的精准干预展开,也可围绕中药单体的制备及中药单体对信号通路的作用机制展开,以期为神经系统疾病的康复和功能恢复提供更有效的治疗策略。

基于HTML的Web系统在植保机中的应用研究

为了实现农田信息的实时监控,将农田信息进行可视化处理,设计了本系统。植保机作为农田中数据采集节点和地面工作站的中继站,可实现将农田信息上传地面工作站,且可利用HTML完成农田数据的Web可视化处理。同时,依据通讯路径损耗,确定通讯频率为430M,植保机飞行高度为750 m;基于模拟退火算法,实现植保机飞行路径规划;利用HTML完成用户Web网页设计;并对系统进行测试。测试结果表明:土壤湿度监控精度相对误差分布区间为[0.57%, 2.79%],Web网页可以实现各数据节点农田信息的实时显示。

基于“微生物-肠-脑轴”探讨补肾通腑方对APP/PS1小鼠肠道菌群及LPS/TLR4/NF-κB通路的影响

目的探讨补肾通腑方调控肠道菌群,改善阿尔茨海默病(Alzheimer’s disease,AD)模型小鼠学习记忆能力的作用机制。方法以APP/PS1小鼠为研究对象,给予补肾通腑方治疗8周,采用Morris水迷宫法观察小鼠空间学习记忆能力变化;16S rDNA检测小鼠肠道菌群丰度、多样性变化;HE染色观察海马病理形态学变化;免疫荧光检测海马区小胶质细胞活化情况;Western blot检测TLR4、NF-κB、IL-6等炎症因子表达。结果与模型组相比,补肾通腑方可以缩短AD模型小鼠逃避潜伏期、游泳路径,增加跨越平台次数(P<0.05),提升肠道菌群多样性,调节肠道菌群丰度,促进海马神经元细胞损伤修复,降低iNOS/Iba1共表达,提高Arg1/Iba1共表达(P<0.01),促进小胶质细胞从M1型向M2型转化,下调TLR4、NF-κB、IL-6等促炎因子的表达。结论补肾通腑方改善AD模型小鼠学习记忆能力的作用机制可能与调节肠道菌群介导的LPS/TLR4/NF-κB通路,从而抑制促炎型小胶质细胞活化、减轻中枢神经系统炎症、改善海马区神经元细胞损伤有关。

葫芦素B改善脂多糖诱导C2C12肌管萎缩作用机制

目的 探讨葫芦素B(Cucurbitacin B,CuB)对LPS诱导的C2C12肌管萎缩和C57BL/6小鼠骨骼肌萎缩的影响。方法 采用蛋白免疫印迹法检测蛋白表达水平,苏木精-伊红染色法观察细胞形态变化,通过测量小鼠握力以及腓肠肌和胫骨前肌质量评估骨骼肌萎缩程度。结果 蛋白免疫印迹试验表明,LPS能够诱导C2C12肌管萎缩(P<0.01),而经葫芦素B(0.3~3.0μmol/L)处理后可促进肌管分化相关蛋白(MyHC)及肌肉合成相关蛋白的表达,减少促炎因子(IL-1β、COX-2)释放(P<0.001)。苏木精-伊红染色试验结果从形态学角度证实了葫芦素B能有效改善LPS刺激下的肌管萎缩。此外,动物试验显示,LPS可导致C57BL/6小鼠握力以及腓肠肌与胫骨前肌质量显著下降,而经葫芦素B治疗后症状有所改善(P<0.05)。结论 葫芦素B在治疗骨骼肌萎缩方面具有潜在应用价值,为开发天然药物来源的先导化合物提供了理论依据,并为炎症诱导的骨骼肌萎缩的治疗开辟了新思路。

Morphological disruption and visual tuning alterations in the primary visual cortex in glaucoma(DBA/2J)mice

Glaucoma is a leading cause of irreve rsible blindness wo rldwide,and previous studies have shown that,in addition to affecting the eyes,it also causes abnormalities in the brain.However,it is not yet clear how the primary visual cortex(V1)is altered in glaucoma.This study used DBA/2J mice as a model for spontaneous secondary glaucoma.The aim of the study was to compare the electrophysiological and histomorphological chara cteristics of neurons in the V1between 9-month-old DBA/2J mice and age-matched C57BL/6J mice.We conducted single-unit recordings in the V1 of light-anesthetized mice to measure the visually induced responses,including single-unit spiking and gamma band oscillations.The morphology of layerⅡ/Ⅲneurons was determined by neuronal nuclear antigen staining and Nissl staining of brain tissue sections.Eighty-seven neurons from eight DBA/2J mice and eighty-one neurons from eight C57BL/6J mice were examined.Compared with the C57BL/6J group,V1 neurons in the DBA/2J group exhibited weaker visual tuning and impaired spatial summation.Moreove r,fewer neuro ns were observed in the V1 of DBA/2J mice compared with C57BL/6J mice.These findings suggest that DBA/2J mice have fewer neurons in the VI compared with C57BL/6J mice,and that these neurons have impaired visual tuning.Our findings provide a better understanding of the pathological changes that occur in V1 neuron function and morphology in the DBA/2J mouse model.This study might offer some innovative perspectives regarding the treatment of glaucoma.

A Concise and Varied Visual Features-Based Image Captioning Model with Visual Selection

Image captioning has gained increasing attention in recent years.Visual characteristics found in input images play a crucial role in generating high-quality captions.Prior studies have used visual attention mechanisms to dynamically focus on localized regions of the input image,improving the effectiveness of identifying relevant image regions at each step of caption generation.However,providing image captioning models with the capability of selecting the most relevant visual features from the input image and attending to them can significantly improve the utilization of these features.Consequently,this leads to enhanced captioning network performance.In light of this,we present an image captioning framework that efficiently exploits the extracted representations of the image.Our framework comprises three key components:the Visual Feature Detector module(VFD),the Visual Feature Visual Attention module(VFVA),and the language model.The VFD module is responsible for detecting a subset of the most pertinent features from the local visual features,creating an updated visual features matrix.Subsequently,the VFVA directs its attention to the visual features matrix generated by the VFD,resulting in an updated context vector employed by the language model to generate an informative description.Integrating the VFD and VFVA modules introduces an additional layer of processing for the visual features,thereby contributing to enhancing the image captioning model’s performance.Using the MS-COCO dataset,our experiments show that the proposed framework competes well with state-of-the-art methods,effectively leveraging visual representations to improve performance.The implementation code can be found here:https://github.com/althobhani/VFDICM(accessed on 30 July 2024).

Bioactive material promotes longdistance regeneration of optic nerve to restore visual functions

Visual system is vital to human beings.Unfortunately,the optic nerve lacks the ability to regenerate after injury.Therefo re,long-distance regeneration of the optic nerve is a major unsolved medical problem in the world(Laha et al.,2017).Recently,Li and So groups' study showed that the bioactive material(ciliary neurotrophic factor[CNTF]-chitosan) could promote long-distance regeneration of the completely transected optic nerve in adult rats and partially restored the visual functions(Liu et al.,2023).This study sheds light on the clinical potential for repairing the severely injured optic nerve.

RMPC-Based Visual Servoing for Trajectory Tracking of Quadrotor UAVs With Visibility Constraints

Dear Editor,This letter deals with the tracking problem of quadrotors subject to external disturbances and visibility constraints by designing a robust model predictive control(RMPC) scheme. According to the imagebased visual servoing(IBVS) method, a virtual camera is constructed to express image moments of the tracking target.

灵芝提取物通过PBX3/MAPK通路对胶质瘤细胞恶性生物学行为的作用机制研究

目的探究灵芝提取物(GLE)是否可通过前B细胞白血病同源盒基因3(PBX3)/丝裂原活化蛋白激酶(MAPK)通路影响U251人胶质瘤细胞恶性生物学行为。方法2022年1月至2023年1月进行该研究。含不同浓度GLE培养液(0、50、100、200 mg/L GLE)培养U251细胞48 h,采用细胞计数试剂盒(CCK-8)法、流式细胞术、平板克隆实验、细胞划痕试验及迁移和侵袭(Transwell)实验来评估细胞的存活率、凋亡情况、集落形成能力、迁移与侵袭特性;实时定量聚合酶链反应(RT-qPCR)检测PBX3、细胞外信号调节酶(ERK)mRNA表达水平;蛋白质印迹法检测PBX3、原癌基因c-RAF(Raf-1)、磷酸化Raf-1(p-Raf-1)、信号通路细胞外信号调节酶1/2(ERK1/2)、磷酸化ERK1/2(p-ERK1/2)蛋白表达情况。结果0、50、100、200 mg/L GLE下U251细胞存活率分别为100%、(86.62±4.26)%、(67.68±3.49)%、(50.84±3.39)%、(40.13±3.25)%,差异有统计学意义(P<0.05);0、50、100、200 mg/L GLE下U251细胞凋亡率、集落形成数、划痕愈合率、侵袭细胞数、PBX3、ERK mRNA及PBX3、p-Raf-1、p-ERK1/2蛋白相对表达水平比较,差异有统计学意义(P<0.05);随着GLE浓度的增加,U251细胞存活率、划痕愈合率、PBX3与ERK mRNA相对表达水平及RAS、PBX3、p-Raf-1、p-MEK1/2、p-ERK1/2蛋白相对表达水平均降低,集落形成数及侵袭细胞数均减少,细胞凋亡率升高;GLE作用效果呈剂量性依赖(P<0.05)。结论GLE可抑制胶质瘤细胞增殖、克隆形成、迁移及侵袭等恶性生物学特性,并诱导其凋亡,其作用机制可能与阻断PBX3/MAPK通路的激活相关。

CICARE based communication technique:A passage to faster and smoother visual rehabilitation in post cataract surgery patients

Visual rehabilitation following cataract surgery is often an overlooked aspect.Healthcare providers have an important role in the counselling of the patients undergoing cataract surgery in clearing all their doubts thus alleviating all their fears and anxiety related to the procedure which will eventually lead to faster and smoother visual rehabilitation.Using standardised communication techniques like CICARE combined with conventional nursing and pain scoring systems can provide an objective and effective method in patient counselling and building a rapport with the patient for a faster visual recovery.

紫外线B辐射增强和酸氮沉降复合作用对杉木凋落物分解的影响

为了探究不同环境因子复合作用对杉木(Cunninghamia lanceolata)凋落物分解机制的影响,以杉木人工林凋落物为研究对象,采用野外环境控制试验方法,通过设置不同紫外线B辐射增强、酸沉降和氮沉降试验处理,进行紫外线B辐射增强与酸氮沉降复合作用对杉木凋落物分解过程处理1年的定位研究。结果表明:不同试验处理后,杉木凋落物的分解速率从大到小依次为氮沉降处理(0.69)、紫外线B辐射增强与氮沉降复合处理(0.64)、紫外线B辐射增强与酸氮沉降复合处理(0.59)、酸沉降与氮沉降复合处理(0.58)、对照(0.56)、紫外线B辐射增强处理(0.55)、酸沉降处理(0.54)、紫外线B辐射增强与酸沉降复合处理(0.52)。氮沉降处理、紫外线B辐射增强与氮沉降复合处理会促进凋落物分解,缩短凋落物分解的周期;酸沉降处理会减缓杉木凋落物分解的速率。紫外线B辐射增强、紫外线B辐射增强和酸沉降复合处理、酸沉降和氮沉降复合处理、酸沉降氮沉降和紫外线B复合处理,对杉木凋落物分解的速率没有明显的影响。

Application of Landscape Engineering based on BIM Visualization Technology

The rapid advancement of building information modeling(BIM)technology has garnered significant interest regarding its application within the domain of landscape engineering.BIM technology,as a construction and management tool that integrates digitization and visualization,has demonstrated considerable advantages in enhancing project quality,reducing costs,and improving collaborative efficiency.This study aims to systematically investigate the application and developmental trends of BIM visualization technology within the field of landscape engineering.Through an analysis of technological advancements and industry dynamics over the past decade,it has been observed that BIM visualization technology is intricately linked with green building practices,sustainable construction methods,and the development of smart cities within the context of landscape engineering projects.The technology also possesses significant potential for application in the planning and design of landscape engineering,construction management,and project maintenance.The convenience of visualization enhances the expressive capacity of the design scheme,improves communication efficiency between the involved parties,and mitigates the costs and time inefficiencies associated with design modifications.By drawing on the successful experiences of other industries and integrating them with the unique characteristics of landscape engineering,BIM visualization technology is poised to assume a more significant role within this field.This integration is expected to advance the entire industry towards greater intelligence and informatization,while simultaneously enhancing the efficiency and quality of design,construction,and maintenance processes.

Vein visualization enhancement by dual-wavelength phase-locked denoising technology

Visual near-infrared imaging equipment has broad applications in various fields such as venipuncture,facial injections,and safety verification due to its noncontact,compact,and portable design.Currently,most studies utilize near-infrared single-wavelength for image acquisition of veins.However,many substances in the skin,including water,protein,and melanin can create significant background noise,which hinders accurate detection.In this paper,we developed a dual-wavelength imaging system with phase-locked denoising technology to acquire vein image.The signals in the effective region are compared by using the absorption valley and peak of hemoglobin at 700nm and 940nm,respectively.The phase-locked denoising algorithm is applied to decrease the noise and interference of complex surroundings from the images.The imaging results of the vein are successfully extracted in complex noise environment.It is demonstrated that the denoising effect on hand veins imaging can be improved with 57.3%by using our dual-wavelength phase-locked denoising technology.Consequently,this work proposes a novel approach for venous imaging with dual-wavelengths and phase-locked denoising algorithm to extract venous imaging results in complex noisy environment better.

SMSTracker:A Self-Calibration Multi-Head Self-Attention Transformer for Visual Object Tracking

Visual object tracking plays a crucial role in computer vision.In recent years,researchers have proposed various methods to achieve high-performance object tracking.Among these,methods based on Transformers have become a research hotspot due to their ability to globally model and contextualize information.However,current Transformer-based object tracking methods still face challenges such as low tracking accuracy and the presence of redundant feature information.In this paper,we introduce self-calibration multi-head self-attention Transformer(SMSTracker)as a solution to these challenges.It employs a hybrid tensor decomposition self-organizing multihead self-attention transformermechanism,which not only compresses and accelerates Transformer operations but also significantly reduces redundant data,thereby enhancing the accuracy and efficiency of tracking.Additionally,we introduce a self-calibration attention fusion block to resolve common issues of attention ambiguities and inconsistencies found in traditional trackingmethods,ensuring the stability and reliability of tracking performance across various scenarios.By integrating a hybrid tensor decomposition approach with a self-organizingmulti-head self-attentive transformer mechanism,SMSTracker enhances the efficiency and accuracy of the tracking process.Experimental results show that SMSTracker achieves competitive performance in visual object tracking,promising more robust and efficient tracking systems,demonstrating its potential to providemore robust and efficient tracking solutions in real-world applications.

Dynamic SLAM Visual Odometry Based on Instance Segmentation:A Comprehensive Review

Dynamic Simultaneous Localization and Mapping(SLAM)in visual scenes is currently a major research area in fields such as robot navigation and autonomous driving.However,in the face of complex real-world envi-ronments,current dynamic SLAM systems struggle to achieve precise localization and map construction.With the advancement of deep learning,there has been increasing interest in the development of deep learning-based dynamic SLAM visual odometry in recent years,and more researchers are turning to deep learning techniques to address the challenges of dynamic SLAM.Compared to dynamic SLAM systems based on deep learning methods such as object detection and semantic segmentation,dynamic SLAM systems based on instance segmentation can not only detect dynamic objects in the scene but also distinguish different instances of the same type of object,thereby reducing the impact of dynamic objects on the SLAM system’s positioning.This article not only introduces traditional dynamic SLAM systems based on mathematical models but also provides a comprehensive analysis of existing instance segmentation algorithms and dynamic SLAM systems based on instance segmentation,comparing and summarizing their advantages and disadvantages.Through comparisons on datasets,it is found that instance segmentation-based methods have significant advantages in accuracy and robustness in dynamic environments.However,the real-time performance of instance segmentation algorithms hinders the widespread application of dynamic SLAM systems.In recent years,the rapid development of single-stage instance segmentationmethods has brought hope for the widespread application of dynamic SLAM systems based on instance segmentation.Finally,possible future research directions and improvementmeasures are discussed for reference by relevant professionals.