METTL5 promotes gastric cancer progression via sphingomyelin metabolism

BACKGROUND The treatment of gastric cancer(GC)has caused an enormous social burden worldwide.Accumulating studies have reported that N6-methyladenosine(m6A)is closely related to tumor progression.METTL5 is a m6A methyltransferase that plays a pivotal role in maintaining the metabolic stability of cells.However,its aberrant regulation in GC has not been fully elucidated.AIM To excavate the role of METTL5 in the development of GC.METHODS METTL5 expression and clinicopathological characteristics were analyzed via The Cancer Genome Atlas dataset and further verified via immunohistochemistry,western blotting and real-time quantitative polymerase chain reaction in tissue microarrays and clinical samples.The tumor-promoting effect of METTL5 on HGC-27 and AGS cells was explored in vitro by Cell Counting Kit-8 assays,colony formation assays,scratch healing assays,transwell assays and flow cytometry.The tumor-promoting role of METTL5 in vivo was evaluated in a xenograft tumor model.The EpiQuik m6A RNA Methylation Quantification Kit was used for m6A quantification.Next,liquid chromatography-mass spectrometry was used to evaluate the association between METTL5 and sphingomyelin metabolism,which was confirmed by Enzyme-linked immunosorbent assay and rescue tests.In addition,we investigated whether METTL5 affects the sensitivity of GC cells to cisplatin via colony formation and transwell experiments.RESULTS Our research revealed substantial upregulation of METTL5,which suggested a poor prognosis of GC patients.Increased METTL5 expression indicated distant lymph node metastasis,advanced cancer stage and pathological grade.An increased level of METTL5 correlated with a high degree of m6A methylation.METTL5 markedly promotes the proliferation,migration,and invasion of GC cells in vitro.METTL5 also promotes the growth of GC in animal models.METTL5 knockdown resulted in significant changes in sphingomyelin metabolism,which implies that METTL5 may impact the development of GC via sphingomyelin metabolism.In addition,high METTL5 expression led to cisplatin resistance.CONCLUSION METTL5 was found to be an oncogenic driver of GC and may be a new target for therapy since it facilitates GC carcinogenesis through sphingomyelin metabolism and cisplatin resistance.

A Fermi-LAT Study of Globular Cluster Dynamical Evolution in the Milky Way:Millisecond Pulsars as the Probe

Using archival Fermi-LAT data with a time span of~12 yr,we study the population of Millisecond Pulsars(MSPs)in Globular Clusters(GlCs)and investigate their dependence on cluster dynamical evolution in the Milky Way.We show that theγ-ray luminosity(L_(γ))and emissivity(i.e.,ε_(γ)=L_(γ)/M,with M the cluster mass)are good indicators of the population and abundance of MSPs in GlCs,and they are highly dependent on the dynamical evolution history of the host clusters.Specifically speaking,the dynamically older GlCs with more compact structures are more likely to have larger L_(γ)andε_(γ),and these trends can be summarized as strong correlations with cluster stellar encounter rateΓand the specific encounter rate(Λ=Γ/M),with L_(γ)∝Γ^(0.7±0.11)andε_(γ)∝Λ^(0.73±0.13)for dynamically normal GlCs.However,as GlCs evolve into deep core collapse,these trends are found to be reversed,implying that strong encounters may have lead to the disruption of Low-Mass X-ray Binaries and ejection of MSPs from core-collapsed systems.Besides,the GlCs are found to exhibit largerε_(γ)with increasing stellar mass function slope(ε_(γ)∝10^((0.52±0.1)α)),decreasing tidal radius(ε_(γ)∝R_(t)^(-10±0.22))and distances from the Galactic Center(GC,ε_(γ)∝R_(gc)^(-1.13±0.21)).These correlations indicate that,as GlCs losing kinetic energy and spiral in toward the GC,tidal stripping and mass segregation have a preference in leading to the loss of normal stars from GlCs,while MSPs are more likely to concentrate to cluster center and be deposited into the GC.Moreover,we gaugeε_(γ)of GlCs is~10-1000 times larger than the Galactic bulge,the latter is thought to reside thousands of unresolved MSPs and may be responsible for the GC 7-ray excess,which supports that GlCs are generous contributors to the population of MSPs in the GC.

Three-channel CMOS transimpedance amplifier for LiDAR sensor receiver

For time-of-flight(TOF)light detection and ranging(LiDAR),a three-channel high-performance transimpedance amplifier(TIA)with high immunity to input load capacitance is presented.A regulated cascade(RGC)as the input stage is at the core of the complementary metal oxide semiconductor(CMOS)circuit chip,giving it more immunity to input photodiode detectors.A simple smart output interface acting as a feedback structure,which is rarely found in other designs,reduces the chip size and power consumption simultaneously.The circuit is designed using a 0.5μm CMOS process technology to achieve low cost.The device delivers a 33.87 dB?transimpedance gain at 350 MHz.With a higher input load capacitance,it shows a-3 dB bandwidth of 461 MHz,indicating a better detector tolerance at the front end of the system.Under a 3.3 V supply voltage,the device consumes 5.2 mW,and the total chip area with three channels is 402.8×597.0μm2(including the test pads).

A Random Fusion of Mix 3D and Polar Mix to Improve Semantic Segmentation Performance in 3D Lidar Point Cloud

This paper focuses on the effective utilization of data augmentation techniques for 3Dlidar point clouds to enhance the performance of neural network models.These point clouds,which represent spatial information through a collection of 3D coordinates,have found wide-ranging applications.Data augmentation has emerged as a potent solution to the challenges posed by limited labeled data and the need to enhance model generalization capabilities.Much of the existing research is devoted to crafting novel data augmentation methods specifically for 3D lidar point clouds.However,there has been a lack of focus on making the most of the numerous existing augmentation techniques.Addressing this deficiency,this research investigates the possibility of combining two fundamental data augmentation strategies.The paper introduces PolarMix andMix3D,two commonly employed augmentation techniques,and presents a new approach,named RandomFusion.Instead of using a fixed or predetermined combination of augmentation methods,RandomFusion randomly chooses one method from a pool of options for each instance or sample.This innovative data augmentation technique randomly augments each point in the point cloud with either PolarMix or Mix3D.The crux of this strategy is the random choice between PolarMix and Mix3Dfor the augmentation of each point within the point cloud data set.The results of the experiments conducted validate the efficacy of the RandomFusion strategy in enhancing the performance of neural network models for 3D lidar point cloud semantic segmentation tasks.This is achieved without compromising computational efficiency.By examining the potential of merging different augmentation techniques,the research contributes significantly to a more comprehensive understanding of how to utilize existing augmentation methods for 3D lidar point clouds.RandomFusion data augmentation technique offers a simple yet effective method to leverage the diversity of augmentation techniques and boost the robustness of models.The insights gained from this research can pave the way for future work aimed at developing more advanced and efficient data augmentation strategies for 3D lidar point cloud analysis.

Outage Probability Analysis for D2D-Enabled Heterogeneous Cellular Networks with Exclusion Zone:A Stochastic Geometry Approach

Interference management is one of the most important issues in the device-to-device(D2D)-enabled heterogeneous cellular networks(HetCNets)due to the coexistence of massive cellular and D2D devices in which D2D devices reuse the cellular spectrum.To alleviate the interference,an efficient interference management way is to set exclusion zones around the cellular receivers.In this paper,we adopt a stochastic geometry approach to analyze the outage probabilities of cellular and D2D users in the D2D-enabled HetCNets.The main difficulties contain three aspects:1)how to model the location randomness of base stations,cellular and D2D users in practical networks;2)how to capture the randomness and interrelation of cellular and D2D transmissions due to the existence of random exclusion zones;3)how to characterize the different types of interference and their impacts on the outage probabilities of cellular and D2D users.We then run extensive Monte-Carlo simulations which manifest that our theoretical model is very accurate.

PHUI-GA: GPU-based efficiency evolutionary algorithm for mining high utility itemsets

Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining performance,but they still require huge computational resource and may miss many HUIs.Due to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded processors.Experiments show that the mining performance of PHUI-GA outperforms the existing EAs.When mining 90%HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.

Italian Domination of Strong Product of Two Paths

The domination problem of graphs is an important issue in the field of graph theory.This paper mainly considers the Italian domination number of the strong product between two paths.By constructing recursive Italian dominating functions,the upper bound of its Italian domination number is obtained,and then a partition method is proposed to prove its lower bound.Finally,this paper yields a sharp bound for the Italian domination number of the strong product of paths.

LIMS抽样管理模块设计与实现

云南省质检院是省属法定检验检测机构,除了受理普通客户的委托检验订单外,更多的是各级政府和市场监督管理局指定的国抽、省抽、市抽订单。对于此类订单,需要指派抽样人员去市场或企业一线抽采检验样品。为方便管理涉及抽样的各类事项,本文设计了基于LIMS的抽样管理模块。该模块采用B/S架构,编码采用SpringMVC微服务,直接内嵌于现有的LIMS,可实现抽样任务管理、详情管理两大主要功能,并已部署于云南省质检院LIMS内网服务器。经实践证明,该模块能够统筹管理抽样人员和任务,不仅提高了抽样效率,而且提高了质量管理水平。

胶质瘤中LINC01152的表达及其对胶质瘤细胞恶性生物学行为的影响

目的 探讨长链非编码RNA LINC01152在胶质瘤中的表达及其对胶质瘤细胞恶性生物学行为的影响。方法 应用LncSpA V2.0和GEPIA数据库分析LINC01152在胶质瘤中的表达;qRT-PCR检测10例正常脑组织、40例胶质瘤组织和5株胶质瘤细胞系中LINC01152 mRNA的表达。使用DAVID数据库对LINC01152共表达基因进行GO和KEGG富集分析,预测其功能。通过AnnoLnc2、TargetScan、LinkedOmics和miRDB数据库预测并筛选LINC01152相关miRNA和靶基因,构建ceRNA调控网络。利用小干扰RNA在胶质瘤细胞系下调LINC01152表达,通过CCK-8法测试、划痕愈合实验、Transwell迁移和侵袭实验、流式细胞术、Western blot等检测LINC01152对胶质瘤细胞的增殖、迁移、侵袭和凋亡等功能的影响。结果 数据库分析显示,与其他肿瘤类型相比,LINC01152在胶质母细胞瘤(GBM)和低级别胶质瘤(LGG)中高表达,且高于正常脑组织。qRT-PCR结果显示LINC01152 mRNA在胶质瘤组织中的表达显著高于正常脑组织(P<0.01)。LINC01152的表达与Ki-67相关(P<0.05),但与胶质瘤患者的性别、年龄、肿瘤大小、P53蛋白、胶质纤维酸性蛋白(GFAP)、6-甲基鸟嘌呤-DNA甲基转移酶(MGMT)和WHO分级等临床参数无关。共表达基因的功能富集分析表明,LINC01152主要参与细胞黏附和突触信号传导等生物学过程。根据预测的靶基因构建LINC01152-miRNA-mRNA调控网络。LINC01152表达下调后,A172和U87细胞的增殖、迁移、侵袭能力降低(P<0.01),而凋亡细胞数量增加(P<0.001)。结论 LINC01152在胶质瘤中高表达,通过促进胶质瘤细胞的增殖、迁移、侵袭和抑制凋亡等途径促进胶质瘤的恶性生物学行为。

早熟优质李新品种吉早丰的选育

吉早丰李是以吉红为母本、88-5-14为父本人工杂交育出的早熟李品种。果实椭圆形,离核,平均单果质量45g,果实较对称,底色黄绿色,部分着紫红色,果肉黄色,肉质松软,汁液含量多,味酸甜,可溶性固形物含量(w,后同)平均为16.6%,可滴定酸含量为0.92%、可溶性糖含量为9.19%。公主岭地区4月下旬开花,7月下旬果实成熟,10月下旬落叶。树体生长势中等,树姿半开张,抗寒性强,可在吉林省无霜期≥130d、≥10℃有效积温2800℃以上的地区引种或试栽。

计及成本和价值的长周期负荷侧调节能力投入策略

随着新型电力系统的发展,负荷侧调节能力建设日益受到关注,对于负荷侧调节能力成本、价值及其投入策略的研究,具有重要意义。基于近10 a来中国电力工业发展的基础数据,结合新型电力系统发展态势,分析了负荷侧调节能力需求的背景,通过对发用电两侧调节能力特点的比较,从电力系统整体角度梳理了负荷侧调节能力的投入所带来的增量价值,分析了负荷侧调节能力的应用价值盈余,进一步结合具体需求提出了3种长周期下负荷侧调节能力投入的优化策略模型,并进行了算例分析。结果显示:负荷侧调节能力的投入有利于降低电力系统的总成本、增加系统调节能力,但是由于其成本曲线的变化以及“非持久特性”等因素,其投入策略需要综合长周期市场发展需求和发用电两侧成本因素进行权衡,所提出的3种优化模型各有其适用场景。

民营小微外贸企业数字化转型升级的内在逻辑和实现途径——以社交媒体赋能促进新质生产力形成视角

企业规模门槛效应阻碍了小微企业数字化转型升级中新质生产力的形成,尤其是民营小微外贸企业受规模限制普遍对数字化转型升级抱有“用不起、不会用、不愿用”的消极态度。近年来,国外消费者通过社交媒体进行购物的新消费模式正在形成。社交媒体具有低成本、高覆盖和精准定位的特点,易于改造成为跨境信息传播、营销推广的重要平台,为民营小微外贸企业数字化转型升级带来了新视野,提供了新机遇。本文针对民营小微外贸企业“两大、四缺乏”的现状,揭示了数字化转型升级带来的“四升一降”效应,并提出利用信息获取与反馈、市场拓展与推广、跨境交流与合作等机制,企业通过建立专业化团队、制定清晰策略、优化线上渠道、加强客户沟通等路径,创新出“社交媒体数字营销+小微外贸企业生产”深度融合的外贸新模式,培育新质生产力,促进传统产业转型升级和高质量发展。

c-Fos、Cyclin-D1、CDK4在乳腺癌中的表达及相关性分析

目的:探讨癌基因c-Fos、细胞周期蛋白D1(cyclin-D1)、细胞周期蛋白依赖性激酶4(CDK4)在乳腺癌及癌旁组织中的表达情况以及其与临床病理特征相关性,并进行生存分析。方法:随机选取20例乳腺癌及癌旁组织进行蛋白印迹实验(western blot,WB)和实时定量反转录聚合酶链反应(real-time quantitative reverse transcription-polymerase chain reaction,RT-qPCR),分别检测乳腺癌组织中c-Fos的蛋白表达和c-Fos、Cyclin-D1、CDK4的mRNA含量;购买乳腺癌组织芯片进行免疫组织化学(immunohistochemistry,IHC)实验,研究c-Fos、Cyclin-D1、CDK4的表达与乳腺癌临床病理特征及预后的关系。结果:WB实验结果提示c-Fos在乳腺癌组织表达高于癌旁组织,差异有统计学意义(P<0.05);RT-qPCR实验结果提示乳腺癌组织中c-Fos mRNA含量与癌旁组织比较差异无统计学意义(P>0.05),乳腺癌组织中Cyclin-D1 mRNA、CDK4 mRNA含量高于癌旁组织,差异有统计学意义(P<0.05);IHC实验表明c-Fos、Cyclin-D1、CDK4在乳腺癌组织中的表达明显高于癌旁组织,差异有统计学意义(P<0.05);癌组织中三者的表达均呈正相关(r=0.320,r=0.486,r=0.514,P<0.05);在乳腺癌组织中,c-Fos的表达与临床分期有关(P<0.05);Cyclin-D1的表达与脉管侵犯有关(P<0.05);CDK4的表达与淋巴结转移有关(P<0.05);生存分析提示三者的高表达是乳腺癌患者总生存时间的危险因素。结论:乳腺癌组织中c-Fos、Cyclin-D1、CDK4高表达并存在正相关性,且与乳腺癌的临床病理特征相关,提示共同参与乳腺癌的发生及发展过程;三者的高表达影响乳腺癌患者的预后。

中药特色技术传承在中药鉴定学实践教学中的探索

在中药鉴定学实践教学中融入中药特色技术,有利于提升学生的专业素养,强化学生中药鉴定学的专业知识水平,同时提高学生的实践能力。挖掘、继承和创新传统中药特色技术,有利于培养学生的现代中医药思维,有利于学生职业技能和科研创新能力的提高,并有助于推动现代中药产业的健康可持续发展,为人民的健康生活提供医学保障。

LEAP-2和Ghrelin在代谢相关疾病的研究进展

肝表达抗菌肽-2(LEAP-2)最近被发现是生长激素促分泌素受体1α(GHSR1α)的内源性配体,可拮抗胃促生长素(Ghrelin)的激活作用,后续发现还可以反向激动GHSR1α,降低GHSR1α的基础活性。这种拮抗关系,不仅在调节生长激素分泌方面发挥关键作用,还在调节食物摄入、肥胖、葡萄糖稳态等复杂功能方面发挥重要作用,并有望成为糖尿病、肥胖症、恶病质等代谢相关疾病诊断及治疗的新靶点。该文将结合Ghrelin来分析LEAP-2的作用,阐述其基本生物学功能和在相关疾病发生发展中的作用以及作为治疗靶点的潜力。

基于地理网格的中国传统村落空间分布及影响因素

以6批8 171个中国传统村落为研究对象,基于地理网格分析传统村落空间分布特征及影响因素。研究结论如下:(1)中国传统村落的空间分布形态为集聚型,传统村落密集分布的省际边界现象显著,表现为冀鲁豫交界、皖浙赣交界、黔桂湘交界3大集聚区;(2)传统村落空间分布的空间自相关性明显,存在“高-高”“低-高”“低-低”空间聚集,长江以南的山地丘陵地区是中国传统村落分布的密集区,东北和西北边陲地区是传统村落分布的稀疏区;(3)交通、经济因素对传统村落空间分布影响不显著,地形、气温、生态、人口因素对传统村落空间分布有着正向影响,降水因素对传统村落空间分布有着较小的负向影响,人口、城镇、生态因素对传统村落空间分布的影响具有较强的空间异质性。

基于 Moldflow 的汽车中控台框架翘曲变形分析及优化

以某汽车中控台框架为研究对象,测量试模样品发现其翘曲变形量超过了装配要求。通过Moldflow软件模拟了该塑件实际的注塑过程,翘曲变形量的模拟值与实测平均值的最大误差为5.98%,发现该塑件翘曲变形的主要因素为冷却不均和收缩不均。本文在原物料中添加质量分数为25%的玻璃纤维以及优化工艺参数后,翘曲变形量的模拟值与初始方案相比降低了86.22%。试模验证表明,优化后的翘曲变形量模拟值与实测平均值的最大误差为4.35%,证明了Moldflow软件模拟分析的准确性。试模后各检测点的最大翘曲变形量降到了1.6 mm以下,较优化之前降低了80%以上,为类似大型复杂注塑件的翘曲变形分析及优化提供了思路。

中国式现代化背景下农村社会治理促进高质量发展的现实进路

农村社会治理作为高质量发展的新动能,是中国式现代化总体进程在基层的具体体现。新时代中国式现代化赋予了农村社会治理社会性、公共性和共生性的现代化新内涵,贯穿在农村社会治理现代化标准向度及其现代转型中。经济质量、民生质量和社会质量作为乡村治理运作促进高质量发展所不可或缺的标准,推动乡村供给质量精准化、组织动员网络化、利益关系规范化以及技术工具数字化的整体进程,将农村社会治理的可持续的发展动力转化为高质量发展的实际效益。因此,农村社会治理促进高质量发展是依据中国式现代化的目标构建来实现框架,调整功能定位,实现对村民多元需求的整体性回应,培育更大的治理成效。

高陡岩质边坡生态修复基材模拟试验研究

为修复云南省西北部裸露岩质边坡的生态环境,研发了集多功能于一体的生态修复基材。该生态基材分为结构层和面层,以陶粒、复合肥、保水剂等为原材料,分别设计结构层正交试验和面层正交试验,选取发芽率和生长高度作为定量评价植物生长情况的指标。根据设计的各试验组配比和观测结果,建立模糊综合评价模型和多项式回归模型,求出其在给定条件下的最优配比,并分析各影响因素间的关系。结果表明:基材结构层最优配比为谷壳750 g/m^(2)、复合肥20 g/m^(2)、EPS颗粒40 g/m^(2)、陶粒1.88 kg/m^(2)、团粒剂34.65 g/m^(2)、保水剂84.6 g/m^(2);基材面层最优配比为复合肥9.24 g/m^(2)、保水剂9.12 g/m^(2)、团粒剂13.51 g/m^(2)。基材各组分存在交互作用,而土壤的理化性质与护坡植物生长存在一定的相关性。研究结果可为高寒地区高陡岩质边坡生态基材的制备与生态修复提供理论依据和技术支持。

数字经济如何赋能区域创新能力的提升?

基于2013—2020年省份的面板数据,分别构建了数字经济和区域创新能力的测度指标体系,运用空间杜宾模型分析数字经济发展对区域创新能力的影响。研究结果表明,数字经济发展显著促进区域创新能力提升,对区域创新实力、创新效率和创新潜力均有显著积极作用。同时,数字经济对区域创新能力具有显著的空间溢出效应,不仅提升本地区的创新能力,而且能够带动邻近地区创新能力的提升。进一步分析发现,金融发展水平和市场化程度是数字经济赋能区域创新能力的两条重要路径。异质性分析结果显示,相较于东部地区,数字经济发展对西部地区创新能力的改善效果显著。研究结论为新时代促进区域创新空间优化与协调发展提供理论支撑和政策建议。