Influencing factors and solution strategies of chimeric antigen receptor T-cell therapy(CAR–T)cell immunotherapy

Chimeric antigen receptor T-cesll therapy(CAR–T)has achieved groundbreaking advancements in clinical application,ushering in a new era for innovative cancer treatment.However,the challenges associated with implementing this novel targeted cell therapy are increasingly significant.Particularly in the clinical management of solid tumors,obstacles such as the immunosuppressive effects of the tumor microenvironment,limited local tumor infiltration capability of CAR–T cells,heterogeneity of tumor targeting antigens,uncertainties surrounding CAR–T quality,control,and clinical adverse reactions have contributed to increased drug resistance and decreased compliance in tumor therapy.These factors have significantly impeded the widespread adoption and utilization of this therapeutic approach.In this paper,we comprehensively analyze recent preclinical and clinical reports on CAR–T therapy while summarizing crucial factors influencing its efficacy.Furthermore,we aim to identify existing solution strategies and explore their current research status.Through this review article,our objective is to broaden perspectives for further exploration into CAR–T therapy strategies and their clinical applications.

Study on the Influencing Factors of L2 Reading Ability and Its Regulation Strategies

This paper takes college students as research subjects to investigate the factors affecting L2 Reading ability and their regulation strategies through scale surveys.The findings are as follows:(1)Linguistic factors have significant impacts on L2 Reading ability,and the influence of non-linguistic factors,such as non-intellectual factors and cultural background knowledge,is also important;and(2)flexible use of reading regulation strategies according to the learning conditions(such as the information extraction strategy,the metacognitive reading regulation strategy,and the interactive reading strategy)can effectively improve learners’L2 Reading ability.The findings of this study have important theoretical and practical value for improving L2 learners’Reading ability.

Influence of Blended Course Teaching Reform on Student Satisfaction

With the rapid development of information technology in contemporary times,the blended teaching mode that blends online and offline courses has become an international trend in higher education.Taking blended tourism management courses at Chongqing Three Gorges University as an example,we explored the impact of such teaching reform on student satisfaction based on the SERVPERF model.Empirical analysis of 179 valid questionnaires revealed that five elements of the reform,namely,reliability,assurance,valuableness,responsiveness,and empathy,have a significant positive impact on students’learning satisfaction.Specifically,in the context of blended courses,factors such as a stable and reliable teaching environment,comprehensively guaranteed educational conditions,teaching content that highly aligns with students’demands and value expectations,prompt responses to students’needs and feedback,and empathetic consideration of students’perspectives are critical for enhancing student satisfaction.Based on these conclusions,we propose several strategies and methods for improving the effectiveness of blended teaching in the hope of propelling its continuous improvement and optimization,thus further elevating the quality of higher education.

Advocacy Coalition by External Actors and Strategies Used to Influence the Emergence of the National Nutrition Policy in Lao PDR

This article aims to explore the coalition of external actors and the strategies it deployed to influence the emergence of the National Nutrition Policy (NNP) in Lao People’s Democratic Republic (Lao PDR). The Advocacy Coalition Framework and the conceptual model of Effective Advocacy Strategies for Influencing Government Nutrition Policy were used to frame the data collection and their analysis. Sources of information were semi-structured interviews conducted with government and external actors, as well as all available documents on nutrition policy in Laos. The commitment of the government to achieve the Millennium Development Goals (MDGs) and to leave the Least Developed Country status created a favorable condition to support the emergence of the NNP in Laos. This context was a driving force for the building of an effective and convincing coalition of United Nations agencies able to accompany the government in redefining health priorities. Various strategies were used by the coalition to this end, including generating, disseminating, and using scientific evidence, assisting the government with a budget and technical expertise, providing decision-makers with opportunities to learn from other countries, and building relationships with the key actor. External actors can be a major force to support the emergence of a public policy in Laos, but this requires a window of opportunity like what the MDGs have been able to bring.

Maximizing Influence in Temporal Social Networks:A Node Feature-Aware Voting Algorithm

Influence Maximization(IM)aims to select a seed set of size k in a social network so that information can be spread most widely under a specific information propagation model through this set of nodes.However,most existing studies on the IM problem focus on static social network features,while neglecting the features of temporal social networks.To bridge this gap,we focus on node features reflected by their historical interaction behavior in temporal social networks,i.e.,interaction attributes and self-similarity,and incorporate them into the influence maximization algorithm and information propagation model.Firstly,we propose a node feature-aware voting algorithm,called ISVoteRank,for seed nodes selection.Specifically,before voting,the algorithm sets the initial voting ability of nodes in a personalized manner by combining their features.During the voting process,voting weights are set based on the interaction strength between nodes,allowing nodes to vote at different extents and subsequently weakening their voting ability accordingly.The process concludes by selecting the top k nodes with the highest voting scores as seeds,avoiding the inefficiency of iterative seed selection in traditional voting-based algorithms.Secondly,we extend the Independent Cascade(IC)model and propose the Dynamic Independent Cascade(DIC)model,which aims to capture the dynamic features in the information propagation process by combining node features.Finally,experiments demonstrate that the ISVoteRank algorithm has been improved in both effectiveness and efficiency compared to baseline methods,and the influence spread through the DIC model is improved compared to the IC model.

Translation Strategies of Non-literary Texts

Translator's subjectivity is closely related to the choice of the style of the translated texts and translation strategies.This paper presents an analytical study of translation strategies of non-literary texts. It introduces different non-literary texts, and then generalizes some factors influencing the selection of translation strategies. Take these Influencing factors into account,Translators should adopt different translation

Incremental Influence Maximization for Dynamic Social Networks

Influence maximization is one fundamental and important problem to identify a set of most influential individuals to develop effective viral marketing strategies in social network. Most existing studies mainly focus on designing efficient algorithms or heuristics to find Top-K influential individuals for static network. However, when the network is evolving over time, the static algorithms have to be re-executed which will incur tremendous execution time. In this paper, an incremental algorithm DIM is proposed which can efficiently identify the Top-K influential individuals in dynamic social network based on the previous information instead of calculating from scratch. DIM is designed for Linear Threshold Model and it consists of two phases: initial seeding and seeds updating. In order to further reduce the running time, two pruning strategies are designed for the seeds updating phase. We carried out extensive experiments on real dynamic social network and the experimental results demonstrate that our algorithms could achieve good performance in terms of influence spread and significantly outperform those traditional static algorithms with respect to running time.

医学生安宁疗护知晓情况的影响因素分析

目的:了解医学生安宁疗护的知晓情况及其影响因素,为开展安宁疗护教育提供参考。方法:采用分层整群随机抽样的方法选取某医科大学2152名医学生为研究对象,采用自编“医学生安宁疗护知晓情况调查问卷”进行现场问卷调查,以卡方检验和Logistic回归分析影响因素。结果:医学生安宁疗护认知平均得分为17.12±6.012分,性别、照护经历、《医学伦理学》课程和安宁疗护教育等是影响医学生安宁疗护知晓率的主要因素。结论:多重因素影响医学生安宁疗护认知水平,需要设置多元立体化的安宁疗护课程补充学生安宁疗护知识盲区、借助性别差异化教学和同伴教育实现认知水平的精准提高,同时拓展医学生安宁疗护实践经验渠道,在医学教育中突出医学的社会性,实现医学观从“病”向“人”的转变。

中国西南地区粮食增产潜力、影响因素与策略研究

西南地区是中国粮食生产战略大后方,提高西南地区粮食产能对确保中国粮食安全和产销平衡具有重要意义。在剖析西南地区粮食产业发展现状和存在问题基础上,采用Tobit模型分析西南地区粮食增产因子的影响系数,并探究西南地区粮食未来增产潜力。结果显示:(1)西南地区粮食生产呈现“播面减少”“产量增加”的双向走势,生态环境脆弱、耕地细碎化及粮经争地矛盾等给粮食增产带来巨大挑战;(2)影响西南地区粮食增产的主要因素依次为复种指数(影响系数0.42)、机械化程度(影响系数0.397)、科学施肥量(影响系数0.346)和财政支农力度(影响系数0.134);(3)到2027年,西南地区粮食产量有望达到7 852万t,5年间预计增长2.5%。基于上述结论,建议采取推广粮经复合模式、加强良种良技研发应用、加大对生产经营主体的扶持力度、建立安全预警机制等措施提升西南地区粮食产量。

社交网络中基于EHEM的两阶段谣言抑制方法

在线社交网络的兴起带来了一系列的挑战与风险,其中包括虚假以及恶意谣言的传播,这可能会误导民众,破坏社会的稳定。因此,对谣言的传播进行抑制成为当前社交网络领域的热点问题。目前已经积累较多谣言抑制的工作,但是还存在模型不能准确描述信息在社交网络上传播的问题,因此提出了一种新的刻画信息传播的模型——扩展热量模型(Extended Heat Energy Model, EHEM)。该模型充分考虑了信息传播中节点激活概率的动态调整机制、信息传播的持续级联机制以及节点状态的动态转变机制,更加精准地捕捉了信息在网络上传播的爆炸性和复杂性;其次,考虑到在真实世界相信谣言的节点在接触真相后存在将信仰转变到相信真相的可能性,提出了校正阈值来确定节点是否会发生信仰的转换;节点的重要程度决定了它们自身的影响力,因此还提出了节点多维质量来衡量节点的重要程度;最后提出了两阶段的谣言抑制(Two Stage Rumor Containment, TSRC)算法,该算法首先使用节点多维质量对网络进行剪枝处理,之后通过模拟的方式从网络中选出最优的正种子集合。在4个真实数据集上进行实验,结果表明,所提算法在多个指标上优于Random, Betweenness, MD, PR, PWD和ContrId这6种对比算法。

石油天然气领域标准国际话语权提升策略研究

石油天然气作为全球能源体系的关键组成部分,标准的制定和影响力对国际能源合作和发展至关重要。通过分析当前我国石油天然气领域标准的国际地位,提出一系列提升我国石油天然气标准国际话语权的策略,包括积极主导价值链提升标准化工作,推动官产研学合作及技术标准联盟,鼓励社会团体积极参加标准化工作等措施。本文旨在推动我国石油天然气领域标准的国际化进程,提高我国在全球能源治理中的话语权和影响力。

城市职购出行距离的影响因素与优化对策研究——以武汉市为例

职购行为是城市居民重要的消费活动,对其特征及成因的理解有助于完善城市就业中心与商业中心的协调布局,丰富城市生活空间的理论认识。以武汉市为例,运用LBS位置服务数据、抽样调查数据、GIS空间分析与结构方程模型方法,测度职购出行距离,揭示其影响因素。结果表明:武汉城市居民职购活动以中短程出行为主,职购距离的圈层异质性明显,城市边缘及外围地区职购便利性更差。就业地商业可达性、社会经济属性、就业通勤成本、网络购物习惯等是影响职购出行距离的重要因素。应优先对10余处职购不便问题突出的就业集聚区开展优化,既要推动基于多因素协同的综合优化,也要区别不同就业集聚区职购困难的诱致主因,实施分类型、差异化的改进措施。

农村居民互联网健康信息行为分析

目的分析农村居民网络健康信息行为,为更好促进农村居民不良健康行为改变提供依据。方法采用随机抽样方法,选取2019年7月至2020年2月于齐齐哈尔市两个乡镇抽取230名18岁及以上的农村居民进行问卷调查。参考《威尔逊健康信息行为模型》《长沙市城市居民健康信息行为调查与对策研究》,自行设计健康信息行为问卷,统计分析农村居民人口学资料,医学信息需求情况、医学信息获取情况。结果本次调查中,男71名,女149名;文化程度小学以下17名,初中及以下125名,高中及中专47名,大专及以上31名。农村居民医学信息获取情况中,获取健康信息的途径,“互联网途径”“医疗机构”占比分别为66.82%、60.45%;利用互联网获取健康信息的途径,“使用搜索引擎直接搜索”占比最高,为56.82%;会使用网络搜索引擎获取健康信息占比分别为82.27%;当前阻碍获取健康信息的外在因素,“提供的途径少”“信息获取不方便”占比51.82%、51.36%;获取健康信息的自身限制因素,“害怕虚假信息”“信息太多,不知道用哪些”占比分别为66.36%、60.00%;查寻健康信息的主要障碍,“信息检索技巧不够”“工作忙,没时间”占比分别为30.91%、29.55%。农民医学信息利用情况中,农村居民在利用健康信息时能考虑健康信息的权威性、真实性、新颖性占比分别为88.18%、92.27%、85.91%。使用健康信息对病情判断者占比较高,为80.91%;理解获取的健康信息内容,大部分理解者占比60.00%;认为可改变现有的不良健康行为占比83.18%。结论农民健康信息行为存在不足,健康管理者积极采取一定措施,促进健康信息行为提升,进而促进健康行为改善。

装配式钢结构住宅发展策略选择研究——基于SWOT-AHP分析

针对我国农村地区积极推广装配式钢结构住宅的总体形势,本文旨在提供一种选择装配式钢结构住宅发展策略的方法。采用SWOT分析方法识别农村地区发展装配式钢结构住宅优势、劣势、机遇、威胁,并通过AHP分析各因素权重;基于权重结果计算得到优势、劣势、机遇、威胁的总体强度构建战略四边形,进一步分析WO、SO、WT、ST四个战略的战略面积和战略方向角,以此确定优先选择战略和相应的发展策略,希望为农村地区的装配式钢结构住宅推广提供参考。

地方本科院校混合式教学模式的实施效果与提升策略研究

为研究西部地方本科院校线上线下混合教学模式的应用现状、实施效果,文章选取甘肃省一所地方本科院校中参与混合式教学的560名大学生进行了问卷调查,通过调查分析发现:(1)地方本科院校混合教学模式的整体得分处于中等偏上水平,其中平台完善性得分最高,其次是教学内容衔接性和组织管理科学性,学生学习自主性和实施效果显著性得分最低;(2)混合教学模式的实施效果与平台完善性、组织科学性、内容衔接性和学习自主性依次具有较强的正相关;(3)混合教学模式中平台完善性、内容衔接性、组织科学性和学习自主性依次对教学效果具有显著的影响和决定作用,这对有效提升混合式教学模式的实施效果具有实践指导意义。基于此,从平台建设、教学内容设计、教学组织管理和学生学习指导等方面提出了提升地方本科院校线上线下混合教学模式实施效果的建议。

开放性眼外伤预后影响因素分析及应对策略探讨

目的分析开放性眼外伤患者预后的影响因素,为制定改善患者预后应对策略提供理论依据。方法回顾性分析2020年1月至2023年10月郑大一附院收治的125例单只眼开放性眼外伤患者的临床资料,依据预后视力(末次随访时最佳矫正视力)情况分为预后良好组(预后视力≥0.05,51例)、预后不佳组(预后视力<0.05,74例)。对开放性眼外伤患者的临床资料进行单因素、多因素Logistic回归分析,筛选开放性眼外伤患者预后不佳的危险因素。结果以单因素及多因素Logistic回归分析最终筛选出影响开放性眼外伤患者预后不佳的独立危险因素有就诊时间>24 h、眼内炎、破裂伤、入院视力<0.05、玻璃体积血、视网膜脱离、晶体损伤和(或)脱位、再次入院、损伤分区为Ⅲ区(OR=2.192、2.217、2.121、2.147、2.162、2.188、2.149、2.201、2.138,P<0.05)。结论影响开放性眼外伤患者预后不佳的独立危险因素有就诊时间>24 h、眼内炎、破裂伤、入院视力<0.05、玻璃体积血、视网膜脱离、晶体损伤和(或)脱位、再次入院、损伤分区为Ⅲ区,临床可据此制定预防措施,进而改善患者预后。

国际产学研合作影响因素、动机机制与策略研究

如何进一步巩固国际产学研合作基础,促进其持续发展且保持活力,是当前我国推进高水平对外开放,构建国际科技合作新格局必须回答的重要时代课题.提出了新时代“一高二优三特”六位一体国际产学研合作策略体系,为推动国际产学研合作高水平发展提供了方向.具体地:全面掌握国际产学研合作主体的合作信息和资源,为巩固国际产学研合作打造一块扎根深厚的合作高地;从国内国际两方面识别国际产学研合作“内外联动”的影响因素,为探索合作机制提供了前提;细致剖析国际产学研合作“主辅相承”合作模式及“推拉调和”动力机制,培育出两点潜力充足的国际产学研合作优势,从而促进国际产学研合作的持续发展;从文化、制度、管理方面探索了国际产学研合作的保障体系,形成3个旗帜鲜明的合作特色,从而确保国际产学研合作的长久活力.

冷战结束以来美国的东南亚政策:演进、特征与前景

作为全球战略的重要组成部分,冷战结束以来美国的东南亚政策不断调整演进,经历了重塑、深化和战略升级三个主要发展阶段。整体来看,美国的东南亚政策演进呈现出延续性与阶段性兼具、双边与多边并进的特点,并受到美国与域内外大国关系发展变化的直接影响,具有明显的针对第三方的政策指向性。受制于其全球战略调整以及地区和国际环境变化等多种因素,尤其是服务于制华遏华战略意图的需要,美国将依托“印太战略”框架,从战略布局、议题设置、机制平台等方面强化其东南亚政策。

长沙“网红城市”形象的传播策略研究——基于抖音短视频数据分析

“网红城市”是城市空间与城市形象在新媒介传播中的时代标签。近年来,长沙丰富的媒介资源尤其是短视频凭借传播速度快、用户基数大、社交属性强等特点为构建“网红长沙”空间形象提供了前所未有的媒介语境。本文对抖音平台有关长沙点赞量top60的视频文本展开分析发现:长沙以娱乐消费属性为主,历史文化属性次之的形象呈现;长沙城市形象传播中出现内容同质化、泛娱乐化、内容关注度两极分化等问题。为此本文提出叙事优化、特色挖掘和文化聚焦的改善路径,以此构建人文性、多元化和创新性的“网红长沙”城市形象。

生猪企业价值创造能力提升策略研究——基于13家生猪上市企业的财务数据

企业的最终目标是在经济增长的基础上实现价值创造,头部养猪企业的发展壮大是生猪产业规模化发展的必然。基于13家上市生猪企业2011—2021年的财务数据,利用财务指标和非财务指标计量分析生猪企业的价值创造影响因素,得出资产负债率、净资产收益率和前五大股东持股比例能影响生猪企业的价值创造能力,且资产负债率对价值创造能力的影响最强;公司规模和董事规模会削弱企业价值创造力,其中实际增长率和账面市值比呈非线性关系等结论,并据此从促进企业增长与价值创造的有效协同、建立有效的账务监管体系及强化科技赋能等领域给出了增进价值创造能力的建议。