A Novel Multiple DBC-staked units Package to Parallel More Chips for SiC Power Module

Silicon carbide(SiC) power modules play an essential role in the electric vehicle drive system. To improve their performance, reduce their size, and increase production efficiency, this paper proposes a multiple staked direct bonded copper(DBC) unit based power module packaging method to parallel more chips. This method utilizes mutual inductance cancellation effect to reduce parasitic inductance. Because the conduction area in the new package is doubled, the overall area of power module can be reduced. Entire power module is divided into smaller units to enhance manufacture yield, and improve design freedom. This paper provides a detailed design, analysis and fabrication procedure for the proposed package structure. Additionally, this paper offers several feasible solutions for the connection between power terminals and DBC untis. With the structure, 18dies were paralleled for each phase-leg in a econodual size power module. Both simulation and double pulse test results demonstrate that, compared to conventional layouts, the proposed package method has 74.8% smaller parasitic inductance and 34.9% lower footprint.

Engineering vascularized organotypic tissues via module assembly

Adequate vascularization is a critical determinant for the successful construction and clinical implementation of complex organotypic tissue models. Currently, low cell and vessel density and insufficient vascular maturation make vascularized organotypic tissue construction difficult,greatly limiting its use in tissue engineering and regenerative medicine. To address these limitations, recent studies have adopted pre-vascularized microtissue assembly for the rapid generation of functional tissue analogs with dense vascular networks and high cell density. In this article, we summarize the development of module assembly-based vascularized organotypic tissue construction and its application in tissue repair and regeneration, organ-scale tissue biomanufacturing, as well as advanced tissue modeling.

Efficient and Stable Inverted Perovskite Solar Modules Enabled by Solid-Liquid Two-Step Film Formation

A considerable efficiency gap exists between large-area perovskite solar modules and small-area perovskite solar cells.The control of forming uniform and large-area film and perovskite crystallization is still the main obstacle restricting the efficiency of PSMs.In this work,we adopted a solid-liquid two-step film formation technique,which involved the evaporation of a lead iodide film and blade coating of an organic ammonium halide solution to prepare perovskite films.This method possesses the advantages of integrating vapor deposition and solution methods,which could apply to substrates with different roughness and avoid using toxic solvents to achieve a more uniform,large-area perovskite film.Furthermore,modification of the NiO_(x)/perovskite buried interface and introduction of Urea additives were utilized to reduce interface recombination and regulate perovskite crystallization.As a result,a large-area perovskite film possessing larger grains,fewer pinholes,and reduced defects could be achieved.The inverted PSM with an active area of 61.56 cm^(2)(10×10 cm^(2)substrate)achieved a champion power conversion efficiency of 20.56%and significantly improved stability.This method suggests an innovative approach to resolving the uniformity issue associated with large-area film fabrication.

Analysis of thermal management and anti-mechanical abuse of multi-functional battery modules based on magneto-sensitive shear thickening fluid

Electric vehicles(EVs)have garnered significant attention as a vital driver of economic growth and environmental sustainability.Nevertheless,ensuring the safety of high-energy batteries is now a top priority that cannot be overlooked during large-scale applications.This paper proposes an innovative active protection and cooling integrated battery module using smart materials,magneto-sensitive shear thickening fluid(MSTF),which is specifically designed to address safety threats posed by lithium-ion batteries(LIBs)exposed to harsh mechanical and environmental conditions.The theoretical framework introduces a novel approach for harnessing the smoothed-particle hydrodynamics(SPH)methodology that incorporates the intricate interplay of non-Newtonian fluid behavior,capturing the fluid-structure coupling inherent to the MSTF.This approach is further advanced by adopting an enhanced Herschel-Bulkley(H-B)model to encapsulate the intricate rheology of the MSTF under the influence of the magnetorheological effect(MRE)and shear thickening(ST)behavior.Numerical simulation results show that in the case of cooling,the MSTF is an effective cooling medium for rapidly reducing the temperature.In terms of mechanical abuse,the MSTF solidifies through actively applying the magnetic field during mechanical compression and impact within the battery module,resulting in 66%and 61.7%reductions in the maximum stress within the battery jellyroll,and 31.1%and 23%reductions in the reaction force,respectively.This mechanism effectively lowers the risk of short-circuit failure.The groundbreaking concepts unveiled in this paper for active protection battery modules are anticipated to be a valuable technological breakthrough in the areas of EV safety and lightweight/integrated design.

Analysis for Effects of Temperature Rise of PV Modules upon Driving Distance of Vehicle Integrated Photovoltaic Electric Vehicles

The development of vehicle integrated photovoltaics-powered electric vehicles (VIPV-EV) significantly reduces CO2 emissions from the transport sector to realize a decarbonized society. Although long-distance driving of VIPV-EV without electricity charging is expected in sunny regions, driving distance of VIPV-EV is affected by climate conditions such as solar irradiation and temperature rise of PV modules. In this paper, detailed analytical results for effects of climate conditions such as solar irradiation and temperature rise of PV modules upon driving distance of the VIPV-EV were presented by using test data for Toyota Prius and Nissan Van demonstration cars installed with high-efficiency InGaP/GaAs/InGaAs 3-junction solar cell modules with a module efficiency of more than 30%. The temperature rise of some PV modules studied in this study was shown to be expressed by some coefficients related to solar irradiation, wind speed and radiative cooling. The potential of VIPV-EV to be deployed in 10 major cities was also analyzed. Although sunshine cities such as Phoenix show the high reduction ratio of driving range with 17% due to temperature rise of VIPV modules, populous cities such as Tokyo show low reduction ratio of 9%. It was also shown in this paper that the difference between the driving distance of VIPV-EV driving in the morning and the afternoon is due to PV modules’ radiative cooling. In addition, the importance of heat dissipation of PV modules and the development of high-efficiency PV modules with better temperature coefficients was suggested in order to expand driving range of VIPV-EV. The effects of air-conditioner usage and partial shading in addition to the effects of temperature rise of VIPV modules were suggested as the other power losses of VIPV-EV.

Study on Image Recognition Algorithm for Residual Snow and Ice on Photovoltaic Modules

The accumulation of snow and ice on PV modules can have a detrimental impact on power generation,leading to reduced efficiency for prolonged periods.Thus,it becomes imperative to develop an intelligent system capable of accurately assessing the extent of snow and ice coverage on PV modules.To address this issue,the article proposes an innovative ice and snow recognition algorithm that effectively segments the ice and snow areas within the collected images.Furthermore,the algorithm incorporates an analysis of the morphological characteristics of ice and snow coverage on PV modules,allowing for the establishment of a residual ice and snow recognition process.This process utilizes both the external ellipse method and the pixel statistical method to refine the identification process.The effectiveness of the proposed algorithm is validated through extensive testing with isolated and continuous snow area pictures.The results demonstrate the algorithm’s accuracy and reliability in identifying and quantifying residual snow and ice on PV modules.In conclusion,this research presents a valuable method for accurately detecting and quantifying snow and ice coverage on PV modules.This breakthrough is of utmost significance for PV power plants,as it enables predictions of power generation efficiency and facilitates efficient PV maintenance during the challenging winter conditions characterized by snow and ice.By proactively managing snow and ice coverage,PV power plants can optimize energy production and minimize downtime,ensuring a sustainable and reliable renewable energy supply.

Heat dissipation enhancement method for finned heat sink for AGV motor driver's IGBT module

With the widespread use of high-power and highly integrated insulated gate bipolar transistor(IGBT),their cooling methods have become challenging.This paper proposes a liquid cooling scheme for heavy-duty automated guided vehicle(AGV)motor driver in port environment,and improves heat dissipation by analyzing and optimizing the core component of finned heat sink.Firstly,the temperature distribution of the initial scheme is studied by using Fluent software,and the heat transfer characteristics of the finned heat sink are obtained through numerical analysis.Secondly,an orthogonal test is designed and combined with the response surface methodology to optimize the structural parameters of the finned heat sink,resulting in a 14.57%increase in the heat dissipation effect.Finally,the effectiveness of heat dissipation enhancement is verified.This work provides valuable insights into improving the heat dissipation of IGBT modules and heat sinks,and provides guidance for their future applications.

Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module

The unsupervised multi-modal image translation is an emerging domain of computer vision whose goal is to transform an image from the source domain into many diverse styles in the target domain.However,the multi-generator mechanism is employed among the advanced approaches available to model different domain mappings,which results in inefficient training of neural networks and pattern collapse,leading to inefficient generation of image diversity.To address this issue,this paper introduces a multi-modal unsupervised image translation framework that uses a generator to perform multi-modal image translation.Specifically,firstly,the domain code is introduced in this paper to explicitly control the different generation tasks.Secondly,this paper brings in the squeeze-and-excitation(SE)mechanism and feature attention(FA)module.Finally,the model integrates multiple optimization objectives to ensure efficient multi-modal translation.This paper performs qualitative and quantitative experiments on multiple non-paired benchmark image translation datasets while demonstrating the benefits of the proposed method over existing technologies.Overall,experimental results have shown that the proposed method is versatile and scalable.

一种L波段300W GaN脉冲功率模块

随着第三代半导体GaN器件技术的不断发展,GaN高电子迁移率晶体管(HEMT)在电子系统中逐步得到了广泛应用。研制了一款小型化L波段300 W GaN脉冲功率模块。研发了满足高压脉冲工作条件的GaN HEMT芯片,采用负载牵引技术进行了器件大信号阻抗参数提取,并以此为基础设计了小型化匹配网络进行阻抗变换。基于高压驱动芯片和开关器件芯片设计了小型化高压脉冲调制电路。测试结果表明,在工作频率990~1130 MHz、工作电压50 V、脉冲宽度100μs、占空比10%下,功率模块脉冲输出功率大于300 W,功率附加效率大于53%,功率增益大于38 dB。功率模块尺寸为30 mm×30 mm×8 mm。

苦瓜皂苷L调控PI3K/AKT通路促进内皮祖细胞增殖能力和内皮功能的实验研究

目的:探讨苦瓜皂苷L对内皮祖细胞(EPC)增殖能力和内皮功能的作用及机制。方法:体外分离、培养、鉴定外周血EPC。使用不同浓度苦瓜皂苷L处理EPC 24 h后,应用细胞计数试剂盒(CCK-8)法检测各组细胞活力。使用AutoDock Tools 5.6软件,分别以磷脂酰肌醇3-激酶(PI3K)和蛋白激酶B(AKT)为受体,以药物分子苦瓜皂苷L为配体采用盲对接法进行分子对接。使用PI3K/AKT抑制剂LY294002和最佳使用浓度的苦瓜皂苷L单独或同时处理EPC 24 h后检测各组细胞活力和磷酸化PI3K(p-PI3K)、磷酸化AKT(p-AKT)及磷酸化内皮型一氧化氮合酶(p-eNOS)表达水平。结果:与对照组比较,苦瓜皂苷L呈剂量依赖性地促进EPC增殖,且40μmol/L的苦瓜皂苷L是最佳药物浓度。与对照组比较,LY294002可下调EPC细胞活力,苦瓜皂苷L可上调细胞活力。与苦瓜皂苷L组比较,共同使用苦瓜皂苷L和LY294002可降低细胞活力。分子对接结果显示,苦瓜皂苷L与PI3K和AKT均存在直接作用,形成稳定的锁钥结构。与对照组比较,LY294002可显著下调p-PI3K、p-AKT和p-eNOS蛋白水平;苦瓜皂苷L可上调p-PI3K、p-AKT和p-eNOS蛋白水平。与苦瓜皂苷L组比较,使用苦瓜皂苷L和LY294002可降低p-PI3K、p-AKT和p-eNOS蛋白水平。结论:苦瓜皂苷L通过PI3K/AKT信号通路靶向调节EPC的增殖能力,进而上调内皮型一氧化氮合酶(eNOS)活化水平以促进EPC内皮功能。

跗骨窦小切口与经外侧“L”形切口术对跟骨骨折患者的疗效

目的 比较跗骨窦小切口与经外侧“L”形切口术治疗跟骨骨折的疗效及对足功能恢复情况的影响。方法 研究对象选取2020年10月至2022年10月收治的跟骨骨折患者88例,按照手术方法分为对照组43例,研究组45例,对照组采用经外侧“L”形切口术,研究组采用跗骨窦小切口手术。检测比较2组手术情况及并发症发生情况、足功能、跟骨解剖结构、骨代谢、炎性因子、应激反应指标水平。结果 与对照组比较,研究组术后引流量、术中出血量较少,手术、住院及骨折愈合时间较短,并发症发生率较低(P<0.05)。与术前比较,术后3个月2组AOFAS评分、Bohler角、Gissane角、跟骨长度、跟骨高度、P1NP、骨特异性碱性磷酸酶(BALP)水平升高,且研究组高于对照组,抗酒石酸酸性磷酸酶(TRAP)、环磷酰胺(CTX)水平降低,且研究组低于对照组(P<0.05)。与术前比较,术后3 d 2组CRP、IL-6、MDA水平升高,但研究组低于对照组,SOD水平降低,但研究组高于对照组(P<0.05)。结论 跗骨窦小切口术治疗跟骨骨折效果理想,可减少手术创伤,减轻炎症及应激反应,且可促进术后足功能、骨代谢恢复,并发症少。

可用于WLAN的双频MIMO天线设计

设计了一款可用于WLAN的双频MIMO天线。天线的正面为L型单极子,背面为金属接地板。通过在接地板上加载耦合枝节使天线具有双频特性。同时,为了天线的小型化,对耦合枝节进行了弯折处理,减小天线尺寸。在两个天线单元之间加载T型寄生枝节和刻蚀矩形缝隙来提高天线的隔离度。使用电磁仿真软件和矢量网络分析仪对天线进行仿真和实测,结果表明:天线的工作频段为2.4~2.55 GHz和5.1~6.3 GHz,覆盖了WLAN的频段,同时在低频段内隔离度高于19 dB,高频段内隔离度高于25 dB。此外,天线的包络相关系数小于0.01且具有全向辐射特性。天线整体性能较好,可以满足WLAN的需求。

基于高阶幂的单快拍LDACS系统波达方向估计

L波段数字航空通信系统(L band digital aeronautical communication system,LDACS)是未来航空宽带通信重要的基础设施之一,针对LDACS信号容易受到相邻波道大功率测距仪(distance measuring equipment,DME)信号干扰的问题,提出了联合正交投影干扰抑制与单快拍稀疏分解的波达方向(direction of arrival,DOA)估计方法。通过子空间投影抑制DME干扰,然后使用单快拍数据构建伪协方差矩阵,对伪协方差矩阵求高阶幂,之后进行奇异值分解,并利用约束条件求解稀疏解得到期望信号来向的估计值。所提方法使用高阶伪协方差矩阵降低了噪声影响,仅用单快拍就可以准确估计LDACS信号的入射方向。仿真结果表明,改进单快拍高级幂(improved single snapshot high order power,ISS-HOP)L1-SVD算法的估计精度优于ISS-HOP-MUSIC算法。该方法可以有效抑制DME干扰,提高OFDM接收机性能。

基于YOLOv8-NFMC的带钢表面缺陷检测算法

针对YOLOv8算法在应用于带钢表面缺陷检测时存在漏检和错检等问题,提出了一种改进YOLOv8算法。针对数据集中的小目标的标签,在原损失CIOU的基础上面加入标准化高斯瓦瑟斯坦距离(normalized Gaussian Wasserstein distance,NWD),提升模型对小目标缺陷的检测能力;采用聚焦调制(focal modulation)替换YOLOv8模型的空间池化金字塔(spatial pyramid pooling-fast,SPPF),在轻量化的同时,提高多尺度特征的表达能力;采用移动翻转瓶颈卷积(mobile inverted bottleneck conv,MBConv)替换C2f中的Conv构建新模块C2f-MB,同时使用C2f-MB替换原有的C2f模块,增强特征表达能力和多尺度特征融合能力;在主干部分加入卷积块注意力机制(convolutional block attention module,CBAM)来抑制背景干扰,能更好捕获全局信息,提升了主干部分的特征提取能力。实验结果表明,改进后的YOLOv8算法在计算量下降的同时,mAP@0.5提高了3%,对漏检和错检等问题有明显改善。

2020年呼和浩特市和林格尔M_(L)4.5地震破裂方向性测定及发震构造分析

本文基于区域数字地震台网波形数据,在三维空间内利用gCAP反演方法获得2020年3月30日和林格尔M_(L)4.5地震矩心的空间精细位置为40.131°N, 111.922°E,深度为13 km。最佳震源机制解节面Ⅰ为走向279°,倾角41°,滑动角-27°;节面Ⅱ为走向30°,倾角72°,滑动角-127°;矩震级MW3.98。采用双差定位法对主震和余震序列进行重定位,获得19个地震事件的重定位结果。研究表明,主震震源参数为40.136°N, 111.858°E,震源深度为11.718 km;余震序列沿NW—SE方向双向扩展,地下破裂长度约为4.6 km;深度剖面显示,主震位于余震区中部,主破裂同时向上和向下扩展,深度分布范围为4~17 km。利用Hypocenter-Centroid方法对地震发震断层进行快速判断,20组测定结果均显示NW走向的节面Ⅰ为发震断层面。综合震源区地质构造、余震序列分布、区域构造应力场及三维地壳结构等研究结果,推断和林格尔M_(L)4.5地震的发震断层是一条沿NW向延伸的隐伏断裂。本次地震是一次左旋走滑、带正断分量的事件。地震发生于地壳内波速高低转换的过渡区,位于偏高速体一侧。综合分析认为,流体物质的涌入是引发2020年和林格尔M_(L)4.5地震的关键因素,而复杂的断层结构不仅为流体运移提供了通道,且控制着地震的发生及地震序列的空间展布。

L型阵水下目标方位和距离联合最大似然估计

空间目标定位是阵列信号处理领域中的研究热点,广泛应用于雷达、声纳、通信、射电天文、医学诊断、地震遥感等众多领域。传统的水下声源定位仅获取目标声源的深度和距离信息,却无法估计目标的方位信息。针对这一问题,在充分考虑水下声传播模型的基础上,利用L型阵列固有的结构特征,将最大似然估计技术应用到水下目标定位,提出一种基于L型水听器阵列的水下目标方位与距离联合最大似然估计算法。研究表明:最大似然估计法可有效突破传统波束形成分辨力“瑞利限”的限制,提高水下目标定位的分辨能力和精度。计算机仿真分析显示,在单目标和相干双目标的场景中,文中所提出的方法均具有更为尖锐的谱峰及更低的旁瓣水平,可对水下目标进行有效的方位角和距离联合估计。

SLC6A8通过BNIP3L调控线粒体自噬促进肝癌细胞增殖

目的:探讨SLC6A8通过BNIP3L调控线粒体自噬对肝癌细胞增殖的影响。方法:通过TCGA数据库分析SLC6A8基因在肝癌组织中的表达情况,并与BNIP3L表达进行相关性分析。使用RT-PCR和Western blot技术检测SLC6A8过表达人肝癌Huh-7及Hep3B细胞中SLC6A8和BNIP3L的表达。免疫荧光标记和CCK-8检测法用于观察SLC6A8过表达人肝癌Huh-7及Hep3B细胞线粒体自噬和细胞增殖率。使用CCK-8检测法评估在沉默BNIP3L后SLC6A8过表达人肝癌Huh-7及Hep3B细胞增殖率。结果:SLC6A8在肝癌组织中显著高表达,并与BNIP3L表达呈正相关。SLC6A8过表达可显著促进线粒体自噬和人肝癌Huh-7及Hep3B细胞的增殖。此外,SLC6A8过表达显著促进BNIP3L mRNA和蛋白的表达。沉默BNIP3L后,SLC6A8过表达对肝癌细胞增殖的促进作用被逆转。结论:SLC6A8在肝癌组织中的高表达与BNIP3L有正相关性,且SLC6A8的过表达能促进线粒体自噬和肝癌细胞的增殖,沉默BNIP3L可逆转SLC6A8过表达对肝癌细胞增殖促进作用。这为肝癌的治疗提供了新的靶点和策略。

UCHL1通过调控肿瘤微环境糖酵解代谢促进肺腺癌细胞增殖和转移

目的:探讨泛素羧基末端水解酶L1(ubiquitin C-terminal hydrolase-L1,UCHL1)通过调控缺氧诱导因子1(hypoxia-inducible factor 1,HIF-1)介导的代谢重编程促进肺腺癌细胞的增殖和转移。方法:免疫组化和实时定量聚合酶链反应检测肺腺癌组织和细胞中UCHL1和HIF-1的表达;Kaplan-Meier Plotter和UALCAN数据库分析了UCHL1和HIF-1的表达量与患者生存期的关联,并进一步分析了二者在不同临床病理等级以及淋巴转移患者肿瘤组织中的表达;克隆形成、迁移和侵袭评估肺腺癌HCC4006细胞转染UCHL1 siRNA后恶性生物学行为变化;Western Blot检测沉默UCHL1后肿瘤细胞糖酵解信号通路IL-6/STAT3标志分子的表达。结果:免疫组化、实时定量聚合酶链反应以及相关性分析,结果显示肺腺癌组织和细胞中UCHL1和HIF-1的表达较癌旁组织和正常人支气管上皮细胞中显著增加,且二者表达水平呈正相关(P<0.01),与Oncomine数据库中UCHL1和HIF-1的表达趋势相一致。生信分析结果显示,UCHL1和HIF-1异常高表达与肺腺癌患者的生存期呈负相关、而与患者的病理等级和淋巴结转移呈正相关(P<0.01)。转染UCHL1 siRNA的肺腺癌HCC4006细胞的克隆形成、迁移和侵袭能力较对照组细胞显著降低,同时细胞的耗氧量显著增加,并抑制细胞中LDH活性和LD分泌(P<0.01)。Western Blot结果显示,沉默UCHL1可抑制HIF-1表达,并降低缺氧介导的肿瘤细胞糖酵解信号通路IL-6/STAT3标志分子的表达(P<0.01)。结论:肺腺癌细胞通过UCHL1-HIF-1轴介导的代谢重编程获得较强的增殖和转移表型,为靶向该基因网络的治疗提供了理论依据。

CDR132L改善高血压合并高脂血症小鼠血管重构和功能

[目的]观察CDR132L(miR-132反义核苷酸)对高血压合并高脂血症小鼠血管重构和功能的影响,并探究其可能的作用机制。[方法]随机选择30只8周龄雄性C57BL/6小鼠,分为三组:对照组、模型组和CDR132L组,每组10只。对照组接受标准饲料喂养,模型组和CDR132L组给予N-硝基-L-精氨酸甲酯(L-NAME)和高脂食物联合喂养来诱导高血压和高脂血症。CDR132L组给予20 mg/kg CDR132L腹腔注射,1次/周,连续6周,对照组和模型组腹腔注射相同剂量的生理盐水溶液。尾套法测量小鼠尾动脉收缩压和舒张压,血脂、血糖检测由全自动生化分析仪完成,HE染色观察胸主动脉结构,血管环试验观察小鼠胸主动脉内皮依赖性舒张反应,定量基因扩增检测胸主动脉miR-132表达水平,Western blot检测胸主动脉Gab1和内皮型一氧化氮合酶(eNOS)蛋白表达水平。[结果]与对照组相比,模型组小鼠收缩压、舒张压、血清甘油三酯、血清总胆固醇和体质量均明显升高(P<0.05),胸主动脉内膜凹凸不平,血管壁厚度不均,中膜平滑肌细胞的排列呈现不规则状态,血管壁上存在大量脂肪积聚,胸主动脉内皮依赖性舒张反应减低(P<0.05),胸主动脉miR-132表达水平明显增加(P<0.05),Gab1和eNOS蛋白表达水平明显降低(P<0.05)。与模型组相比,CDR132L组小鼠收缩压、舒张压、血清甘油三酯、血清总胆固醇和体质量均无统计学差异(P>0.05),胸主动脉管腔内膜较完整光滑,血管壁厚度较均一,中膜平滑肌细胞的排列较为有序,血管壁仅存在少量脂肪积聚,胸主动脉内皮依赖性舒张反应增强(P<0.05),胸主动脉miR-132表达水平明显降低(P<0.05),Gab1和eNOS蛋白表达水平明显增加(P<0.05)。[结论]CDR132L能改善高血压合并高脂血症小鼠血管重构及内皮依赖性舒张功能,这一作用可能与其降低胸主动脉miR-132表达水平,进而上调胸主动脉Gab1和eNOS蛋白表达水平有关。

甲状腺癌“低位领”式与“L”型切口淋巴结清扫术的比较

目的比较“低位领”式与“L”型切口淋巴结清扫术治疗甲状腺癌的临床效果。方法选取80例甲状腺癌患者,按随机数字表法分为2组,各40例。对照组采取“L”型切口淋巴结清扫术,观察组施行“低位领”式淋巴结清扫术,观察至术后3个月。对比2组手术相关指标、切口满意度、颈肩部疼痛程度与心理状态、生活质量、并发症。结果观察组术中出血量[(40.53±4.26)ml]少于对照组[(58.75±6.31)ml],手术时间[(118.79±10.53)min]与住院时间[(6.35±1.03)d]短于对照组[(146.35±12.69)min、(9.42±1.69)d],切口满意度[95.00%(38/40)]高于对照组[80.00%(32/40)],视觉模拟疼痛评估量表(VAS)评分[(3.56±0.48)分]与焦虑自评量表(SAS)评分[(39.46±4.33)分]、抑郁自评量表(SDS)评分[(40.63±5.20)分]低于对照组[(5.23±0.79)分、(47.53±6.36)分、(48.56±6.48)分],有统计学差异(P<0.05)。术后3个月,观察组生活质量综合评定问卷(GQOLI-74)内各维度评分[(80.38±3.75)分、(79.28±3.86)分、(80.63±4.01)分、(81.43±4.10)分]均高于对照组[(71.26±3.29)分、(70.56±3.49)分、(72.31±3.59)分、(71.31±3.50)分],有统计学差异(P<0.05)。2组并发症相比,差异无统计学意义(P>0.05)。结论与“L”型切口相比,“低位领”式淋巴结清扫术治疗甲状腺癌效果更佳,术中出血量更少,手术及术后住院时间更短,并能够减轻患者颈肩部疼痛,改善心理状态及生活质量,且无严重并发症。