mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Grid Integration of Wind Generation Considering Remote Wind Farms: Hybrid Markovian and Interval Unit Commitment

Grid integration of wind power is essential to reduce fossil fuel usage but challenging in view of the intermittent nature of wind. Recently, we developed a hybrid Markovian and interval approach for the unit commitment and economic dispatch problem where power generation of conventional units is linked to local wind states to dampen the effects of wind uncertainties. Also, to reduce complexity, extreme and expected states are considered as interval modeling. Although this approach is effective, the fact that major wind farms are often located in remote locations and not accompanied by conventional units leads to conservative results. Furthermore, weights of extreme and expected states in the objective function are difficult to tune, resulting in significant differences between optimization and simulation costs. In this paper, each remote wind farm is paired with a conventional unit to dampen the effects of wind uncertainties without using expensive utility-scaled battery storage, and extra constraints are innovatively established to model pairing. Additionally, proper weights are derived through a novel quadratic fit of cost functions. The problem is solved by using a creative integration of our recent surrogate Lagrangian relaxation and branch-and-cut. Results demonstrate modeling accuracy, computational efficiency, and significant reduction of conservativeness of the previous approach.
Optimal Constrained Self-learning Battery Sequential Management in Microgrid Via Adaptive Dynamic Programming

This paper concerns a novel optimal self-learning battery sequential control scheme for smart home energy systems. The main idea is to use the adaptive dynamic programming (ADP) technique to obtain the optimal battery sequential control iteratively. First, the battery energy management system model is established, where the power efficiency of the battery is considered. Next, considering the power constraints of the battery, a new non-quadratic form performance index function is established, which guarantees that the value of the iterative control law cannot exceed the maximum charging/discharging power of the battery to extend the service life of the battery. Then, the convergence properties of the iterative ADP algorithm are analyzed, which guarantees that the iterative value function and the iterative control law both reach the optimums. Finally, simulation and comparison results are given to illustrate the performance of the presented method.
A Chance Constrained Optimal Reserve Scheduling Approach for Economic Dispatch Considering Wind Penetration

The volatile wind power generation brings a full spectrum of problems to power system operation and management, ranging from transient system frequency fluctuation to steady state supply and demand balancing issue. In this paper, a novel wind integrated power system day-ahead economic dispatch model, with the consideration of generation and reserve cost is modelled and investigated. The proposed problem is first formulated as a chance constrained stochastic nonlinear programming (CCSNLP), and then transformed into a deterministic nonlinear programming (NLP). To tackle this NLP problem, a three-stage framework consists of particle swarm optimization (PSO), sequential quadratic programming (SQP) and Monte Carlo simulation (MCS) is proposed. The PSO is employed to heuristically search the line power flow limits, which are used by the SQP as constraints to solve the NLP problem. Then the solution from SQP is verified on benchmark system by using MCS. Finally, the verified results are feedback to the PSO as fitness value to update the particles. Simulation study on IEEE 30-bus system with wind power penetration is carried out, and the results demonstrate that the proposed dispatch model could be effectively solved by the proposed three-stage approach.
Simple nonlinear model for the relationship between maize yield and cumulative water amount

Both the additive and multiplicative models of crop yield and water supply are polynomial equations, and the number of parameters increases linearly when the growing period is specified. However, interactions among multiple parameters occasionally lead to unreasonable estimations of certain parameters, which were water sensitivity coefficients but with negative value. Additionally, evapotranspiration must be measured as a model input. To facilitate the application of these models and overcome the aforementioned shortcomings, a simple model with only three parameters was derived in this paper based on certain general quantitative relations of crop yield (Y) and water supply (W). The new model, Y/Y_m–W~k/(W~k+w_h~k), fits an S or a saturated curve of crop yield with the cumulative amount of water. Three parameters are related to biological factors: the yield potential (Y_m), the water requirement to achieve half of the yield potential (half-yield water requirement, w_h), and the water sensitivity coefficient (k). The model was validated with data from 24 maize lines obtained in the present study and 17 maize hybrids published by other authors. The results showed that the model was well fit to the data, and the normal root of the mean square error (NRMSE) values were 2.8 to 17.8% (average 7.2%) for the 24 maize lines and 2.7 to 12.7% (average 7.4%) for the 17 maize varieties. According to the present model, the maize water-sensitive stages in descending order were pollen shedding and silking, tasselling, jointing, initial grain filling, germination, middle grain filling, late grain filling, and end of grain filling. This sequence was consistent with actual observations in the maize field. The present model may be easily used to analyse the water use efficiency and drought tolerance of maize at specific stages.
Effect of experimental warming on soil respiration under conventional tillage and no-tillage farmland in the North China Plain

Understanding the response of soil respiration to global warming in agro-ecosystem is crucial for simulating terrestrial carbon (C) cycle. We conducted an infrared warming experiment under conventional tillage (CT) and no-tillage (NT) farmland for winter wheat and summer maize rotation system in North China Plain (NCP). Treatments include CT with and without warming (CTW and CTN), NT with and without warming (NTW and NTN). The results indicated that warming had no significant effect on soil moisture in irrigated farmland of NCP (P>0.05). The elevated average soil temperature of 1.1–1.6°C in crop growing periods could increase annual soil CO_2 emission by 10.3% in CT filed (P>0.05), but significantly increase it by 12.7% in NT field (P<0.05), respectively. The disturbances such as plowing, irrigation and precipitation resulted in the obvious soil CO_2 emission peaks, which contributed 36.6–40.8% of annual soil cumulative CO_2 emission. Warming would enhance these soil CO_2 emission peaks; it might be associated with the warming-induced increase of autotrophic respiration and heterotrophic respiration. Compared with un-warming treatments, dissolved organic carbon (DOC) and soil microbial biomass carbon (MBC) in warming treatments were significantly increased by 11.6–23.4 and 12.9–23.6%, respectively, indicating that the positive responses of DOC and MBC to warming in both of two tillage systems. Our study highlights that climate warming may have positive effects on soil C release in NCP in association with response of labile C substrate to warming.
Transgenic rice expressing a novel phytase-lactoferricin fusion gene to improve phosphorus availability and antibacterial activity

The developing trends of livestock production are efficiency, safety and sustainability, which face two major challenges: low availability of phytate phosphorus and abuse of antibiotics. As a solution phytases and antimicrobial peptides are applied as feed additives. However, phytases and antimicrobial peptides are susceptible to proteases, costly by fermentation and potential toxic to production hosts. We transformed an optimized phytase-lactoferricin fusion gene PhyLf driven by an endosperm- specific promoter Gt13aP and Bar (bialaphos resistance) gene as a selection maker into rice. The Bar and PhyLf genes were integrated into the rice genome, stably inherited and expressed. Their phosphinothricin acetyl transferase (PAT) protein content of transgenic plants with glufosinate resistance varied between 50.45–93.39 μg g~(–1). Fusion protein expressed especially in the seeds of transgenic rice had a summit phytase activity at 32.30 U g~(–1), which increased by 61.71-fold compared to the control/check group (CK) and 7.54-fold compared to un-optimized transgenic plant. The highest inorganic phosphorus (Pi) content of the transgenic seeds reached 13.15 mg g~(–1), increased by 12.77-fold compared to that of CK. Preliminary antibacterial experiments showed that the enterokinase hydrolysate product of fusion protein could inhibit the growth of Escherichia coli DH5α. These results indicated that the protein PhyLf has the potential to increase availability of feed phytate phosphorus, improve consumer's immunity and reduce the use of antibiotics.
How ‘‘Sustainable'' are Post-disaster Measures? Lessons to Be Learned a Decade After the 2004 Tsunami in the Indian Ocean

This article addresses the sustainability implications of post-disaster measures in the context of the 2004 Indian Ocean Tsunami by presenting an analysis of the current situations and changes in some of the affected regions. Sustainability implications of measures are captured by investigating the persistence of the social and economic living conditions in relation to post-disaster measures, and the alignment of the measures with basic environmental aspects. Based on major concepts relevant in disaster science and sustainability research, the study explored sustainability aspects of post-disaster measures implemented after the 2004 tsunami, by conducting selected interviews among the participants of the 2015 international seminar ‘‘11 Years after the Indian Ocean Tsunami 2004'' and a broader online survey. Information was sought about (1) the current state of vulnerability of the local population in the regions affected; (2) the main lessons that have been identified to improve project design and management of recovery and vulnerability reduction; and (3) project sustainability implications with respect to the state of today's vulnerability. Based on the analysis of the information on these three priority areas, selected tasks for future disaster risk management are identified, such as more integrative planning and improved coordination with international organizations and local people.
Relationships between soil seed banks and above-ground vegetation along a disturbance gradient in the W National Park trans-boundary biosphere reserve, West Africa

Aims Vegetation succession depends on the availability of suitable propagules in the soils, thus knowledge of soil seed banks is essential for formulating effective strategies for restoring the vegetation of degraded sites. The W National Park, the only trans-boundary biosphere reserve in West Africa, is being extensively fragmented and degraded in recent decades. The aims of this study were to assess the reserve's soil seed banks, their relationships with standing vegetation and bundle of disturbances and their potential significance for vegetation restoration. Methods The size and composition of the above-ground species vegetation were assessed in nine plots of 1 ha each representing a range of habitats with differing disturbance severity (low, intermediate and high). A total of 702 soil samples were taken from three layers (0–3, 3–6 and 6–9 cm) and soil seed bank was analyzed using the seedling emergence technique. Important Findings Generally, seeds of non-woody taxa dominated in samples from all soil depths and habitats of all disturbance severities. The mean soil seed density was 17.8, 24.4 and 26.3 seeds/dm~3 in samples from the least, intermediate and most disturbed sites, respectively, and highest in the upper soil layers in all cases. The results indicate that there is limited potential for restoring woody vegetation solely from soil seed banks, and that woody species in the region rely more on recently shed seeds trapped in the standing dead biomass and litter on the ground than soil seed banks for regeneration. Thus, human intervention is needed to accelerate forest recovery, mainly through alleviating anthropogenic impacts on the ecosystem (for instance, avoiding destruction of new seeds by intense fire), and site manipulation to improve environmental conditions for seedling establishment and growth. Other ways of restoring forests than through the soil seed bank (e.g. sowing seeds collected elsewhere, and planting tree seedlings) could also be relevant.
181例前置胎盘对妊娠结局的影响

目的分析181例前置胎盘与妊娠结局的关系,为临床诊疗提供参考。方法181例前置胎盘发生率、子宫切除发生率、新生儿结局,采用Logistic回归分析筛选。结果前置胎盘的发生率为0.63%,子宫切除发生率3.87%。完全性前置胎盘产妇早产率明显高于部分性和边缘性(P <0.05)。完全性前置胎盘产妇分娩的早产儿儿1 min Apgar评分明显低于部分性和边缘性(P <0.05),经治疗后,前置胎盘5 min Apgar评分与对照组相比差异无统计学意义(P >0.05)。结论对于前置胎盘患者,应加强产前保健和监护,并做好充分准备,以改善妊娠结局和围生儿状况。
Bell State Preparation Based on Switching Between Quantum System Models

For the preparation of any target Bell state under continuous quantum measurement, this paper proposes a method which achieves the control objective by switching between two different models or by switching between two control channels under one model. Proper control Hamiltonians are selected for the two system models, a switching strategy between the two models is designed, and the stability of the whole switching system is proved in theory. For a given target Bell state, the effectiveness of the proposed switching control strategy between different models is illustrated through simulation experiments.
Approximate Conditional Likelihood for Generalized Linear Models with General Missing Data Mechanism

The generalized linear model is an indispensable tool for analyzing non-Gaussian response data, with both canonical and non-canonical link functions comprehensively used. When missing values are present, many existing methods in the literature heavily depend on an unverifiable assumption of the missing data mechanism, and they fail when the assumption is violated. This paper proposes a missing data mechanism that is as generally applicable as possible, which includes both ignorable and nonignorable missing data cases, as well as both scenarios of missing values in response and covariate. Under this general missing data mechanism, the authors adopt an approximate conditional likelihood method to estimate unknown parameters. The authors rigorously establish the regularity conditions under which the unknown parameters are identifiable under the approximate conditional likelihood approach. For parameters that are identifiable, the authors prove the asymptotic normality of the estimators obtained by maximizing the approximate conditional likelihood. Some simulation studies are conducted to evaluate finite sample performance of the proposed estimators as well as estimators from some existing methods. Finally, the authors present a biomarker analysis in prostate cancer study to illustrate the proposed method.
电梯曳引能力的智能设计

提出电梯的智能化虚拟设计方法,并着重介绍系统中曳引能力的智能设计。按现行国家标准对电梯曳引能力的要求,建立了曳引能力的校核模型,并结合传统设计经验对原有的穷举法寻优方式做出了改进,提出了智能寻优算法,解决了原有设计效率低下问题,实现了对电梯曳引能力的智能设计,并创建了曳引式电梯的智能虚拟设计原型系统,实现了曳引式电梯的智能化虚拟设计。
基于混合蛙跳算法的企业集团订单分配研究

针对企业集团在订单分配时优先选择内部企业的问题,提出了一个基于产品经济参数和内部企业贡献因子的订单分配策略,解决企业集团订单优先分配量与价格、质量和时间的优化问题。以某建材装备制造集团的订单分配为例,构建了一个基于采购成本最低、不合格产品损失和延期交货损失最少以及对企业集团的贡献最大为优化目标的数学模型。采用改进的混合蛙跳算法对模型进行求解,验证所建模型的合理性和有效性,并与遗传算法、蚁群算法的结果相互比较,验证算法的优越性。
桑叶f3h基因PCR克隆与分析

目的克隆桑叶f3h基因并进行测序分析。方法选定了该基因的PCR扩增的上游引物为GTCCGAGACGAAGACGAG,下游引物为CTTGTACATCTCGGTGTA,PCR反应体系为95℃预变性2min→变性95℃ 15sec、退火58℃ 5sec、延伸72℃ 15sec(30个循环)→延伸72℃ 2min→4℃结束。并对克隆得到的片段进行分析。结果克隆出长度为515bP的片段,通过NCBI网站的ORF Finder找到开放式阅读框为345bp,翻译成氨基酸序列为115个氨基酸,理论分子质量为13202.2,等电点为5.43。结果证明本实验所扩增的基因片段为f3h。结论为进一步克隆f3h全长基因及下一步研究该基因的表达调控打下基础。
基于《中华医典》文献挖掘的哮病组方用药规律初步研究

目的通过对《中华医典》中所包含的先秦至民国哮病治疗的相关文献挖掘及研究分析,探索哮病用药及组方规律,为哮病的临床治疗提供文献学依据。方法以《中华医典》为检索数据库,以“哮”、“水鸡声”、“水鸡鸣”等关键词进行检索并建立数据库,采用关联规则及因子分析对挖掘的数据进行统计分析。结果共纳入药物349味,提取核心药对20对、药组22组、药团10项,得到9个公因子(基础方)。结论在哮病的治疗中,不仅重视“痰”的治疗,而且在用药上注重寒温并用,且多重视调理气机升降。
当代名老中医诊辨痛风经验总结

查阅检索全国第1 ~ 5批名老中医对痛风的辨证论治经验,共统计37位全国名老中医,171篇文献,建立数据库。通过对文献中痛风病因、病机、辨证分型的归纳整理,探索当代名老中医对痛风的诊辨规律。
胡桃楸不同部位乙醇提取物的抗肿瘤作用研究

目的研究胡桃楸根、茎枝、叶和果等不同部位乙醇提取物的抗肿瘤作用及其强弱。方法采用荷H22肝癌实体瘤小鼠模型对胡桃楸不同部位的乙醇提取物进行了抗肿瘤作用的研究。以瘤重和抑瘤率为指标评价不同提取物的抗肿瘤作用,以免疫器官指数、外周血象和肝功能等指标评价不同提取物对荷瘤机体免疫功能和正常功能的影响。结果口服给药后胡桃楸不同部位乙醇提取物抗肿瘤作用有所不同,其中胡桃楸根(7.08 g·kg~(-1))、果(1.77 g·kg~(-1))、及叶(7.08 g·kg~(-1))的乙醇提取物有明显的抑瘤作用,抑瘤率分别为34.38%、32.81%和22.66%。腹腔注射环磷酰胺(0.03 g·kg~(-1))的抗肿瘤作用虽然较好,但免疫抑制作用较强; 胡桃楸根和果提取物未显示明显的免疫抑制作用。结论胡桃楸具有较好的抗肿瘤作用,同时明确了胡桃楸不同部位抗肿瘤作用的强弱,为进一步研究胡桃楸不同部位活性差异与化学成分差异的相关性奠定了基础。
四种开窍药对Aβ_(1- 42)诱导PC12细胞损伤线粒体及Beclin- 1的影响

目的对比四种开窍药的有效成分对β- 淀粉样蛋白42(Aβ_(1- 42))诱导PC12细胞损伤的细胞内Ca~(2+)水平、线粒体膜电位(MMP)以及自噬相关蛋白Beclin- 1的影响。方法采用Aβ_(1- 42)诱导PC12细胞制备体外模型,以四种醒脑开窍药的有效挥发性成分β-细辛醚、冰片、麝香酮、苏合香挥发油作用24 h,光镜观察细胞形态,CCK- 8法检测细胞活力,流式细胞仪检测细胞内Ca~(2+)水平、MMP和Beclin- 1。结果造模后细胞形态不规则,数量减少,胞体略小,突起缩回,β-细辛醚、冰片、苏合香挥发油、麝香酮能改善损伤的细胞形态,提高细胞活力(P < 0.05),降低细胞内Ca~(2+)水平及升高MMP(P < 0.05),升高Beclin- 1蛋白的含量(P < 0.05)。结论四种开窍药的有效成分β-细辛醚、冰片、苏合香挥发油、麝香酮对Aβ_(1- 42)诱导的细胞模型有保护作用,可降低损伤细胞的游离Ca~(2+)水平、升高MMP、升高Beclin- 1蛋白。
癫痫的多组学精准医学研究

癫痫是神经系统的第二大常见疾病,困扰着各年龄段人群的身心健康,被世界卫生组织列为全球重点防治的五大神经精神疾病之一。癫痫的发病机制十分复杂,一般认为遗传因素在其中起到主要作用。在最近的十几年里,从基因组学、表观基因组学、转录组学等层面发现了许多与癫痫发生相关的因素,但仍不足以全面地解释癫痫的发病机制。利用单一组学数据对癫痫进行研究具有明显的局限性,而通过对多种层次的高通量组学数据进行整合分析已成为未来精准医学研究的重要发展方向。多组学研究将为癫痫发生与发展的研究提供新的思路,并对癫痫的早期诊断、个体化治疗等提供新的理论依据。
以外阴肿物为首发症状的原发性粒细胞肉瘤1例报告

综上所述,PGS可以侵犯全身多个部位,因缺乏白血病的临床症状和血液系统的改变,误诊率高,临床工作中应提高对PGS的认识,如果怀疑PGS,组织活检及免疫组化检测是确诊的主要手段,PET-CT有助于病灶定位。细胞遗传学检查有助于了解患者的预后。早期正确诊断至关重要,确诊后及时根据AML的化疗方案进行高强度化疗,造血干细胞移植可以延长患者的生存期。
上皮样炎性肌纤维母细胞肉瘤CT表现二例

肿瘤呈浸润性生长,常累及肠系膜及大、小网膜,CT重建对于病灶的定位价值较高。由于肿瘤间质常伴水肿或黏液样变,故CT平扫表现为较低密度,而富含肿瘤细胞的致密区增强扫描则明显强化。增强扫描门脉期持续进一步强化,其病理基础可能是随着对比剂不断渗入细胞外间隙并逐渐积聚,加上大量的黏液样基质延缓了对比剂的廓清,故强化范围逐渐扩大,强化程度逐渐增加。笔者认为此种强化方式较具特点,有助于提示诊断。目前, EMIS的治疗多采用手术切除及术后放、化疗,但与传统的IMT相比,往往较早出现复发或死亡,预后不佳,且发生于腹腔的EMIS更易复发和转移。
Separation process of butanol-butyl acetate-methyl isobutyl ketone system by the analysis to residual curve and the double effect pressure-swing distillation

The separation of ternary mixture of butanol, butyl acetate, andmethyl isobutyl ketone (MIBK)was initially analyzed by the residual curve. In this process, MIBK was chosen as the azeotropic agent during the first step of separation. The optimum mass ratio of extra MIBK was 1.6 in the modified feed stream according to the residual curve. Thus on this condition the top product was butanol-MIBK azeotrope while the bottom product was butyl acetate in the preliminary separation of the mixture. Then the butanol and MIBK azeotrope was separated by the double effect pressureswing distillation with the low pressure column performing at 30 kPa and the atmospheric pressure column at 101 kPa. The optimal operating conditionswere then obtained by using Aspen Plus to simulate and optimize the process. The results showed that the mass purities of butanol, butyl acetate, and MIBK were all more than 99% and reached the design requirements. Additionally, compared with the traditional distillation with outside heating, the double effect pressure swing distillation saved the reboiler duty by 48.6% and the condenser duty by 44.6%.
Polymorphism of D-mannitol: Crystal structure and the crystal growth mechanism

The polymorphismof D-Mannitol (mannitol) is reviewed in this paper. It was found that the structure of the stable form is consistent in most literatures, but different authors have given different information about the twometastable forms. Therefore the commonly used nomenclature of mannitol was summarized based on the crystal unit cell parameters with the help of X-ray powder diffraction. Moreover, the crystal growth mechanism of mannitol polymorphs was summarized. Considering the lack of kinetic data for themetastable form especially, a reportedmethod was attempted to apply to δmannitol in an aqueous cooling crystallization process based on the induction time previouslymeasured, and itwas identified that the growth of the δ form follows the two-dimensional (2D) nucleationmediated mechanism. The results also indicate that themethod based on induction timeand supersaturation should have the potential to be expanded to the metastable polymorphs for the growth property study in a bulk system.
Crystal growth and spectral characterizations of Ho~(3+)-doped Li_3Ba_2La_3(MoO_4)_8 crystal

A large Ho~(3+):Li_3Ba_2La_3(MoO_4)_8 crystal with high optical quality and well-developed appearance was grown by the flux method. The main spectral properties of the crystal, including the absorption spectra, fluorescence spectra and fluorescence decay curves were recorded at room temperature. The Judd-Ofelt (J-O) theory was applied to calculate the oscillator strength parameters Ω_t (t=2, 4, 6), spontaneous emission probabilities, fluorescence branching ratios, and radiative lifetimes of Ho~(3+) ions undergoing transitions from ground state ~5I_8 to the excited states. The stimulated emission cross-section for the ~5I_7→~5I_8 transition was estimated to be 1.32×10~(–20) cm~2 at 2045 nm by Fuchtbauer-Ladenburg (F-L) equation and the quantum efficiency of the ~5I_7 level was calculated to be 89%.
腹腔内罕见同卵多体寄生胎产前产后1例

寄生胎最主要与畸胎瘤鉴别:二者从发病机制、好发部位及影像表现上均示不同。目前主要治疗措施为手术切除。虽然寄生胎的成分发育成熟,但仍有恶变可能,术后需要定期检测肿瘤标记物和复查超声或CT、MRI等。
肾小管上皮细胞损伤在急性肾损伤向慢性肾脏病转化中的作用

综上所述, RTECs损伤和修复以及相关分子机制在促进AKI向CKD转化的病理生理过程中起关键作用。如何通过适当调控相关分子机制,减轻RTECs损伤,提高RTECs的修复能力,对延缓甚至阻止AKI向CKD转化具有重要意义。随着研究的逐渐完善,以及肾脏靶向治疗技术的不断成熟,有望为延缓甚至阻止临床AKI患者向CKD的转化开辟新的治疗思路和途径。
对近3年稳定的磨玻璃样肺小结节的长期随访

背景:对持续稳定的磨玻璃结节(GGN)推荐至少随访3年,但适当的随访年限仍不确定。本研究评价GGN在随访3年后增长的比例以及影响结节增长的因素。方法:回顾性分析了持续稳定3年并继续进行CT随访的GGN患者(至少胸部CT随访5年)。结果:在2003年5月至2015年6月共纳人218例患者,共发现453个GGN(438例纯GGN和15例部分实性GGN)。在218例患者中,14例的15个结节在3年随访后出现增长,平均随访时间为6.4年。218例中,3年稳定结节随后出现增长的比例为6.7%(14/218)。453个GGN经过3年随访出现增长的比例为3.3% (15/453) 、在多变量分析中,年龄≥65岁(OR值为5.51,P =0.012)、肺癌病史(OR值为6.44,P =0.006)、最初结节直径≥8 mm(OR值为5.74,P = 0.008 )、出现实性成分(Oft值为16.58,P =0.009)以及支气管充气征(OR值为5.83,P=0.015)是GGN增长的独立危险因素。结论:对有以上危险因素的GGN患者,建议随访时间更长,以确定GGN的增长情况。
Robot-assisted Living-donor Left Lateral Sectionectomy

Introduction In 2002, Cherqui et al. reported the first purely laparoscopic living-donor left lateral sectionectomy (LDLLS). This technique has now become a standardized procedure and has significantly shortened donor hospitalization. The da Vinci robotic surgical system was introduced into the field of liver surgery more than 10 years ago. Its flexible mechanical“wrist” and stable three-dimensional (3D) visual field help minimize risks from complicated procedures. However, robotic LDLLS has not yet been reported. Recently, we performed such a case of robotic LDLLS.