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sTIL enhances the development of lung adenocarcinoma by regulating the glycolysis pathway

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Oncology research 2025年第1期33卷 123-132页

作者： Lei Wang Xianjin xie Department of Respiratory Medicine Jen Ching Memorial Hospital Suzhou 215300 China. Department of Respiratory Medicine Shandong Provincial Third Hospital Jinan 250010 China.

Background:To investigate sCL/TAL 1 interrupting locus ()'s role and prognostic significance in lung adenocarcinoma (LUAD) progression, we examined and E2 promoter binding factor 1 (E2F1) expression and their impacts on LUAD prognosis using gene Expression Profiling Interactive Analysis (gEPIA).Methods:Functional assays including CCK-8, wound-healing, 5-ethynyl-2-deoxyuridine (EdU), Transwell assays, and flow cytometry, elucidated and E2F1's effects on cell viability, proliferation, apoptosis, and migration. gene set enrichment analysis (gsEA) identified potential pathways, while metabolic assays assessed glucose metabolism.Results:Our findings reveal that and E2F1 are overexpressed in LUAD, correlating with adverse outcomes. It enhances cell proliferation, migration, and invasion, and suppresses apoptosis, activating downstream of E2F1. silencing E2F1 reversed the promotion effect of the overexpression on cell viability and invasiveness. Importantly, modulates glycolysis, influencing glucose consumption, lactate production, and energy balance in LUAD cells.Conclusion:Our model, incorporating , age, and disease stage, robustly predicts patient prognosis, underscored 's pivotal role in LUAD pathogenesis through metabolic reprogramming. This comprehensive approach not only confirms 's prognostic value but also highlights its potential as a therapeutic target in LUAD.

关键词： E2 promoter binding factor 1 glycolysis Lung adenocarcinoma sCL/TAL1 interrupting locus (sTIL)

Integration of perioperative features and intragraft TCF7L2 expression to predict lipid metabolic disorder in liver transplant recipients

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science China Life sciences 2025年第1期 297-299页

作者： Junbin Zhou Rongli Wei guanghan Fan Zhengxing Lian Xuanyu Zhang Linsong Tang Zhetuo Qi Haiyang xie shusen Zheng Qiang Wei Xiao Xu Department of Hepatobiliary and Pancreatic surgery People's Hospital of LishuiAffiliated Lishui Hospital of Wenzhou Medical UniversityThe First Affiliated Hospital of Lishui University NHFPC Key Laboratory of Combined Multi-Organ Transplantation Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province Department of Hepatobiliary and Pancreatic SurgeryHangzhou First People's Hospital Department of Hepatobiliary and Pancreatic surgery The First Affiliated HospitalZhejiang University School of Medicine Department of Urology The Second Affiliated HospitalZhejiang University School of Medicine Department of Hepatobiliary and Pancreatic surgery Department of Liver TransplantationShulan (Hangzhou) Hospital Hangzhou Medical College Zhejiang University school of Medicine

Dear Editor, Liver transplantation(LT) is the only curative therapy for patients with endstage liver disease(He et al., 2023; Ling et al., 2022). Post-transplant hypertriglyceridemia(PTHT), which has an incidence of up to 32.8% in 6 months after LT, is one of the major post-transplant complications(Toshima et al., 2020).

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Using sPOT 5 fusion-ready imagery to detect Chinese tamarisk(saltcedar)with mathematical morphological method

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International Journal of Digital Earth 2014年第3期7卷 217-228页

作者： Q.s.Liu g.H.Liu C.Huang C.J.xie state Key Laboratory of Resources and Environmental Information system Institute of Geographic Science and Natural Resources ResearchChinese Academy of SciencesBeijingChina

Chinese tamarisk(saltcedar)is a deciduous shrub that occurs widely across the Yellow River Delta in *** spatial structure of Chinese tamarisk is believed to have an influence on the landscape and habitats of rare *** this study,first,Chinese tamarisk is detected using Canny edge detector and mathematical morphological operators based on sPOT 5 fusion-ready *** the numbers,areas,locations,and patch spacing of Chinese tamarisk patches are *** experiments show that the detection accuracy of Chinese tamarisk patches is about 93.4%after the disconnection of connected *** distribution orientation of about 70%of the patches is approximately *** 91%of the minimum distances among the patches are between 12.5 and 57.5 *** rose graph indicates that the main azimuth between patches is north--northwest,and the second is northeast and *** present study indicates that the integrating Canny edge detector with the algorithms for extracting circular and elliptical objects based on mathematical morphology is simple and effective for detecting Chinese tamarisk patches and is easy to identify the spatial structure of Chinese tamarisk patches,which reduces the time and labor for the visual interpretation of Chinese tamarisk patches.

关键词： sPOT 5 Chinese tamarisk spatial structure mathematical morphology patch

The smallest in the deepest: the enigmatic role of viruses in the deep biosphere

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National science Review 2023年第4期10卷 191-202页

作者： Lanlan Cai Markus g.Weinbauer Le xie Rui Zhang state Key Laboratory of Marine Environmental science College of Ocean and Earth Sciences Xiamen University Department of Ocean science The Hong Kong University of Science and Technology sorbonne Universités UPMC Université Paris 06 CNRS Laboratoire d'Océanographie de Villefranche (LOV) Institute for Advanced study Shenzhen University

It is commonly recognized that viruses control the composition, metabolism, and evolutionary trajectories of prokaryotic communities, with resulting vital feedback on ecosystem functioning and nutrient cycling in a wide range of ecosystems. Although the deep biosphere has been estimated to be the largest reservoir for viruses and their prokaryotic hosts, the biology and ecology of viruses therein remain poorly *** deep virosphere is an enigmatic field of study in which many critical questions are still to be *** the deep virosphere simply a repository for deeply preserved, non-functioning virus particles? Or are deep viruses infectious agents that can readily infect suitable hosts and subsequently shape microbial populations and nutrient cycling? Can the cellular content released by viral lysis, and even the organic structures of virions themselves, serve as the source of bioavailable nutrients for microbial activity in the deep biosphere as in other ecosystems? In this review, we synthesize our current knowledge of viruses in the deep biosphere and seek to identify topics with the potential for substantial discoveries in the future.

关键词： virus deep biosphere population size diversity activity ecological role

基于点云处理的仿人机器人楼梯障碍物识别与剔除方法

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工程科学学报 2025年第2期47卷 339-350页

作者：于乃功谢秋生李洪政北京工业大学信息科学技术学院北京100124 北京市计算智能与智能系统重点实验室北京100124 教育部数字社区工程研究中心北京100124

环境感知对于仿人机器人自主导航和运动规划具有重要研究意义,是实现仿人机器人在复杂环境中进行自主移动进而完成特定任务的基础.在特殊的楼梯场景中仿人机器人环境感知过程面临诸多挑战,楼梯障碍物会破坏阶梯平面特征,导致仿人机器人... 详细信息

环境感知对于仿人机器人自主导航和运动规划具有重要研究意义,是实现仿人机器人在复杂环境中进行自主移动进而完成特定任务的基础.在特殊的楼梯场景中仿人机器人环境感知过程面临诸多挑战,楼梯障碍物会破坏阶梯平面特征,导致仿人机器人获取不准确的楼梯参数而出现踏空、摔跤等问题.本文结合区域生长和平面构造方法识别和剔除楼梯障碍物点云,基于剔除障碍物后的楼梯进行三维参数估计.首先利用相邻点的投影之和最小原理准确完成对楼梯水平面的提取;其次根据区域生长算法判定楼梯障碍物聚类情况,构造平面并分析平面内点数以完成对障碍物点云的快速识别与剔除工作;最后对有障碍物楼梯与剔除障碍物楼梯进行楼梯三维感知实验.实验结果表明,本文剔除楼梯障碍物的平均精度为92.43%,且剔除后的楼梯参数感知误差仅为有障碍物时的0.5倍.总体表明所提算法能提高机器人在复杂楼梯环境中的楼梯参数估计精度,能够有效提高仿人机器人在复杂楼梯环境下的感知能力.

关键词：仿人机器人复杂环境感知楼梯区域生长参数估计

高速公路对绿色经济效率的影响分析--基于产业结构优化视角

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生态经济 2025年第1期41卷 114-122页

作者：樊建强谢靖雯长安大学经济与管理学院陕西西安710064

当前中国高速公路建设布局日趋完善,探究如何发挥其对地区产业结构优化的有力支持,进而助力绿色经济发展转型具有重要意义。论文基于2006—2019年中原城市群27个城市的面板数据,运用超效率sBM模型测算其绿色经济效率,从产业结构优化的... 详细信息

当前中国高速公路建设布局日趋完善,探究如何发挥其对地区产业结构优化的有力支持,进而助力绿色经济发展转型具有重要意义。论文基于2006—2019年中原城市群27个城市的面板数据,运用超效率sBM模型测算其绿色经济效率,从产业结构优化的视角实证分析了高速公路对绿色经济效率的影响,并以产业结构优化为中介与门槛变量,进一步探讨产业结构优化对于高速公路影响绿色经济效率的门槛效应。研究结果表明:中原城市群高速公路与绿色经济效率间呈现先抑制后促进的“U”型关系;产业结构优化在高速公路和绿色经济效率间发挥部分中介作用;产业结构优化存在单一门槛效应,随着产业结构优化水平的提升,高速公路对绿色经济效率由抑制作用转为促进作用。

关键词：绿色经济效率高速公路产业结构优化超效率sBM 中原城市群

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基于最大影响力集合的主动学习方法

计算机科学 2025年第1期52卷 289-297页

作者：李雅和谢志鹏复旦大学计算机科学技术学院上海200438

随着深度学习技术的不断进步,其已经在许多领域广泛应用。但深度模型的训练需要消耗大量标注数据,时间与资源成本高,如何利用尽可能少的标注数据达到最佳模型效果成为一个重要的研究课题。主动学习的提出正是为了解决这一问题,其旨在选... 详细信息

随着深度学习技术的不断进步,其已经在许多领域广泛应用。但深度模型的训练需要消耗大量标注数据,时间与资源成本高,如何利用尽可能少的标注数据达到最佳模型效果成为一个重要的研究课题。主动学习的提出正是为了解决这一问题,其旨在选择最有价值的样本进行标注并用于模型训练。传统的主动学习策略通常关注不确定性或多样性,旨在查询最困难或最具代表性的样本。然而,在主动学习问题中,这些方法通常没有考虑标注样本和无标注样本之间的交互作用。另一类主动学习方法则使用辅助网络进行样本选择,但这些方法通常会增加计算复杂度。在上述背景下,提出一种新的主动学习算法,旨在通过考虑不同样本之间的相互作用,综合衡量候选样本对其他样本的影响力与不确定性,来最大限度地提高模型的整体性能增益。所提算法首先根据样本隐含层表征之间的距离估计样本相互之间的影响力,进一步根据候选样本的影响力与无标注样本的不确定性估计该样本能够带来的潜在增益,并迭代地选择全局增益最大的样本进行标注。进一步在一系列不同领域的多种任务上将该方法与其他主动学习策略进行了比较,实验结果表明,该方法在所有任务中的表现均显著优于所有基线方法。进一步的量化分析实验也证明该方法在不确定性和多样性之间取得了良好的权衡,并探究了主动学习不同阶段应该注重的因素。

关键词：主动学习深度学习不确定性

Ultra-fast interpretable machine-learning potentials

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npj Computational Materials 2023年第1期9卷 649-657页

作者： stephen R.xie Matthias Rupp Richard g.Hennig Department of Materials science and Engineering University of FloridaGainesvilleFLUSA Quantum Theory Project University of FloridaGainesvilleFLUSA Department of Computer and Information science University of KonstanzKonstanzGermany Materials Research and Technology Department Luxembourg Institute of Science and Technology(LIST)Esch-sur-AlzetteLuxembourg

All-atom dynamics simulations are an indispensable quantitative tool in physics,chemistry,and materials science,but large systems and long simulation times remain challenging due to the trade-off between computational efficiency and predictive *** address this challenge,we combine effective two-and three-body potentials in a cubic B-spline basis with regularized linear regression to obtain machine-learning potentials that are physically interpretable,sufficiently accurate for applications,as fast as the fastest traditional empirical potentials,and two to four orders of magnitude faster than state-of-the-art machine-learning *** data from empirical potentials,we demonstrate the exact retrieval of the *** data from density functional theory,the predicted energies,forces,and derived properties,including phonon spectra,elastic constants,and melting points,closely match those of the reference *** introduced potentials might contribute towards accurate all-atom dynamics simulations of large atomistic systems over long-time scales.

关键词： method spline faster

study of transversity gPDs from pseudoscalar mesons production at EIC of China

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Communications in Theoretical Physics 2023年第6期75卷 86-95页

作者： s V goloskokov Ya-Ping xie Xurong Chen Bogoliubov Laboratory of Theoretical Physics Joint Institute for Nuclear ResearchDubna 141980Moscow regionRussia Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China University of Chinese Academy of sciences Beijing 100049China Institute of Quantum Matter South China Normal UniversityGuangzhou 510006China

The exclusive η and π^(0)electroproduction is studied in the handbag approach based on the generalized parton distributions(gPDs)*** of π^(0)and η mesons are calculated for future electron-ion collider in China(EicC)energy ranges,using obtained cross sections we extract information on the transversity gPDs contributions to these processes.

关键词： meson production general parton distributions handbag method