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A Quarterly High RFM Mining Algorithm for Big Data Management

CMC-COMPUTERS MATERIALS & CONTINUA 2024年第3期80卷 4341-4360页

作者： Peng, Cuiwei chen, jiahui Wan, Shicheng Xu, Guotao Guangdong Univ Technol Sch Int Educ Guangzhou 510006 Peoples R China Guangdong Univ Technol Sch Comp Sci & Technol Guangzhou 510006 Peoples R China South China Univ Technol Business Adm Guangzhou 510641 Peoples R China Xidian Univ Guangzhou Inst Technol Guangzhou 710071 Peoples R China

In today's highly competitive retail industry, offline stores face increasing pressure on profitability. They hope to improve their ability in shelf management with the help of big data technology. For this, on-shelf availability is an essential indicator of shelf data management and closely relates to customer purchase behavior. RFM (recency, frequency, and monetary) pattern mining is a powerful tool to evaluate the value of customer behavior. However, the existing RFM pattern mining algorithms do not consider the quarterly nature of goods, resulting in unreasonable shelf availability and difficulty in profit-making. To solve this problem, we propose a quarterly RFM mining algorithm for On-shelf products named OS-RFM. Our algorithm mines the high recency, high frequency, and high monetary patterns and considers the period of the on-shelf goods in quarterly units. We conducted experiments using two real datasets for numerical and graphical analysis to prove the algorithm's effectiveness. Compared with the state-of-the-art RFM mining algorithm, our algorithm can identify more patterns and performs well in terms of precision, recall, and F1-score, with the recall rate nearing 100%. Also, the novel algorithm operates with significantly shorter running times and more stable memory usage than existing mining algorithms. Additionally, we analyze the sales trends of products in different quarters and seasonal variations. The analysis assists businesses in maintaining reasonable on-shelf availability and achieving greater profitability.

关键词： Data mining recency pattern high-utility itemset RFM pattern mining on-shelf management

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The clinical antiprotozoal drug nitazoxanide and its metabolite tizoxanide extend Caenorhabditis elegans lifespan and healthspan

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3266-3280页

作者： Wenfeng Li Shuming chen Jing Lang Jing Luo jiahui chen Liping Zhang Zhijie Sun Deli Dong Department of Pharmacology China Pharmaceutical UniversityNanjing 210009China

The drugs extending healthspan in clinic have always been *** is an FDA-approved clinical antiprotozoal *** is rapidly metabolized to tizoxanide after absorption in *** previous studies find that nitazoxanide and its metabolite tizoxanide induce mild mitochondrial uncoupling and activate cellular AMPK,oral nitazoxanide protects against experimental hyperlipidemia,hepatic steatosis,and ***,we demonstrate that both nitazoxanide and tizoxanide extend the lifespan and healthspan of Caenorhabditis elegans through Akt/AMPK/sir 2.1/daf16 ***,both nitazoxanide and tizoxanide improve high glucose-induced shortening of *** *** has been a clinical drug with a good safety profile,we suggest that it is a novel anti-aging drug.

关键词： Nitazoxanide Tizoxanide C.elegans Healthspan Lifespan AMPK Akt Mitochondrial uncoupling

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Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of Vehicles

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Engineering 2024年第2期33卷 178-189页

作者： Xiaoming Yuan jiahui chen Ning Zhang Qiang(John)Ye Changle Li Chunsheng Zhu Xuemin Sherman Shen Qinhuangdao Branch Campus Northeastern UniversityQinhuangdao 066004China State Key Laboratory of Integrated Services Networks&the Research Institute of Smart Transportation Xidian UniversityXi’an 710071China Department of Electrical and Computer Engineering University of WindsorWindsorON N9B 3P4Canada Department of Electrical and Software Engineering University of CalgaryCalgaryAB T2N 1N4Canada SUSTech Institute of Future Networks Southern University of Science and TechnologyShenzhen 518055China Department of Electrical and Computer Engineering University of WaterlooWaterlooON N2L 3G1Canada

High-efficiency and low-cost knowledge sharing can improve the decision-making ability of autonomous vehicles by mining knowledge from the Internet of Vehicles(IoVs).However,it is challenging to ensure high efficiency of local data learning models while preventing privacy leakage in a high mobility *** order to protect data privacy and improve data learning efficiency in knowledge sharing,we propose an asynchronous federated broad learning(FBL)framework that integrates broad learning(BL)into federated learning(FL).In FBL,we design a broad fully connected model(BFCM)as a local model for training client *** enhance the wireless channel quality for knowledge sharing and reduce the communication and computation cost of participating clients,we construct a joint resource allocation and reconfigurable intelligent surface(RIS)configuration optimization framework for *** problem is decoupled into two convex *** to improve the resource scheduling efficiency in FBL,a double Davidon–Fletcher–Powell(DDFP)algorithm is presented to solve the time slot allocation and RIS configuration *** on the results of resource scheduling,we design a reward-allocation algorithm based on federated incentive learning(FIL)in FBL to compensate clients for their *** simulation results show that the proposed FBL framework achieves better performance than the comparison models in terms of efficiency,accuracy,and cost for knowledge sharing in the IoV.

关键词： Knowledge sharing Internet of Vehicles Federated learning Broad learning Reconfigurable intelligent surfaces Resource allocation

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Recent advances in photochemistry for positron emission tomography imaging

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Chinese Chemical Letters 2024年第8期35卷 149-162页

作者： Jing-Jing Zhang Lujun Lou Rui Lv jiahui chen Yinlong Li Guangwei Wu Lingchao Cai Steven H.Liang Zhen chen Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources Jiangsu Provincial Key Lab for the Chemistry and Utilization of Agro-Forest BiomassJiangsu Key Lab of Biomass-Based Green Fuels and ChemicalsInternational Innovation Center for Forest Chemicals and MaterialsCollege of Chemical EngineeringNanjing Forestry UniversityNanjing 210037China Department of Radiology and Imaging Sciences Emory UniversityAtlantaGA 30322United States

As a powerful noninvasive imaging technology,positron emission tomography(PET)has been playing an important role in disease theranostics and drug *** successful application of PET relies on not only the biological properties of PET tracers but also the availability of facile and efficient radiochemical reactions to enable practical production and widespread use of PET *** recently,photochemistry is emerging as a novel,mild and efficient approach to generating PET *** this review,we focus on the recent advances in newly developed photocatalytic radiochemical reactions,innovation on automated photochemical radiosynthesis modules,as well as implementation in late-stage radiolabeling and radio-pharmaceutical synthesis for PET *** believe that this review will inspire the development of more promising radiolabeling protocols for the preparation of clinically useful PET agents.

关键词： Positron emission tomography(PET) Fluorine-18 Carbon-11 Photocatalysis Automation Late-stage functionalization

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Enhancing the crystallinity and stability of perovskite solar cells with 4-tert-butylpyridine induction for efficiency exceeding 24%

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Journal of Energy Chemistry 2024年第6期93卷 1-7,I0001页

作者： You Liu Lishuang Zheng Kuanxiang Zhang Kun Xu Weicheng Xie Jue Zhang Yulu Tian Tianyuan Liu Hanzhong Xu Ruoming Ma Wei Huang jiahui chen Jusheng Bao chen chen Yongsheng Zhou Xuchun Wang Junming chen Jungan Wang College of Chemistry and Materials Engineering Anhui Science and Technology UniversityBengbu 233000AnhuiChina Anhui Province Quartz Sand Purification and Photovoltaic Glass Engineering Research Center Chuzhou 233100AnhuiChina Triumph Photovoltaic Materials Co.Ltd BengbuAnhuiChina National Laboratory of Solid State Microstructures School of PhysicsNanjing UniversityNanjing 210009JiangsuChina JinkoSolar Holding Co.Ltd HainingZhejiangChina

Perovskite solar cells(PSCs)have emerged as a promising photovoltaic technology because of their high light absorption coefficient,long carrier diffusion distance,and tunable ***,PSCs face challenges such as hysteresis effects and stability *** this study,we introduced a novel approach to improve film crystallization by leveraging 4-tert-butylpyridine(TBP)molecules,thereby enhancing the performance and stability of *** findings demonstrate the effective removal of PbI_(2)from the perovskite surface through strong coordination with TBP ***,by carefully adjusting the concentration of the TBP solution,we achieved enhanced film crystallinity without disrupting the perovskite *** TBP-treated perovskite films exhibit a low defect density,improved crystallinity,and improved carrier *** a result,the PSCs manufactured with TBP treatment achieve power conversion efficiency(PCE)exceeding 24%.Moreover,we obtained the PCE of 21.39%for the 12.25 cm^(2)module.

关键词： 4-tert-butylpyridine Film crystallization Perovskite solar cells Power conversion efficiency Stability improvement

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Metal-organic framework-based single-atom electro-/ photocatalysts: Synthesis, energy applications, and opportunities

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Carbon Energy 2024年第1期6卷 1-43页

作者： Munir Ahmad jiahui chen Jianwen Liu Yan Zhang Zhongxin Song Shahzad Afzal Waseem Raza Liaqat Zeb Andleeb Mehmood Arshad Hussain Jiujun Zhang Xian-Zhu Fu Jing-Li Luo Shenzhen Key Laboratory of Energy Electrocatalytic Materials Guangdong Research Center for Interfacial Engineering of Functional MaterialsCollege of Materials Science and EngineeringShenzhen UniversityShenzhenGuangdongChina College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhenGuangdongChina College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdongChina Department of Environmental Engineering China Jiliang UniversityHangzhouZhejiangChina Institute for Advanced Study Shenzhen UniversityShenzhenGuangdongChina School of Bioengineering Dalian University of TechnologyDalianLiaoningChina College of Materials Science and Engineering Fuzhou UniversityFuzhouFujianChina Institute for Sustainable Energy Shanghai UniversityShanghaiChina

Single-atom catalysts(SACs)have gained substantial attention because of their exceptional catalytic ***,the high surface energy limits their synthesis,thus creating significant challenges for further *** the last few years,metal–organic frameworks(MOFs)have received significant consideration as ideal candidates for synthesizing SACs due to their tailorable chemistry,tunable morphologies,high porosity,and chemical/thermal *** this perspective,this review thoroughly summarizes the previously reported methods and possible future approaches for constructing MOF-based(MOF-derived-supported and MOF-supported)***,MOF-based SAC's identification techniques are briefly assessed to understand their coordination environments,local electronic structures,spatial distributions,and catalytic/electrochemical reaction *** review systematically highlights several photocatalytic and electrocatalytic applications of MOF-based SACs for energy conversion and storage,including hydrogen evolution reactions,oxygen evolution reactions,O_(2)/CO_(2)/N_(2) reduction reactions,fuel cells,and rechargeable *** light is also shed on the future development of this highly exciting field by highlighting the advantages and limitations of MOF-based SACs.

关键词： carbon energy generation MOF-derived-supported MOF-supported single atoms

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Discovery and evaluation of a novel 18F-labeled vasopressin 1a receptor PET ligand with peripheral binding specificity

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ACTA PHARMACEUTICA SINICA B 2024年第9期14卷 4014-4027页

作者： Hu, Junqi Li, Yinlong Dong, chenchen Wei, Huiyi Liao, Kai Wei, Junjie Zhao, Chunyu Chaudhary, Ahmad chen, jiahui Xu, Hao Zhong, Ke Liang, Steven H. Wang, Lu Ye, Weijian Jinan Univ Affiliated Hosp 1 Ctr Cyclotron & PET Radiopharmaceut Dept Nucl Med Guangzhou 510630 Peoples R China Jinan Univ Affiliated Hosp 1 Key Lab Basic & Translat Res Radiopharmaceut Guangzhou 510630 Peoples R China Emory Univ Dept Radiol & Imaging Sci Atlanta GA 30322 USA Sun Yat Sen Univ Sun Yat Sen Mem Hosp Dept Pharm Guangzhou 510120 Peoples R China

The arginine-vasopressin (AVP) hormone plays a pivotal role in regulating various physiological processes, such as hormone secretion, cardiovascular modulation, and social behavior. Recent studies have highlighted the V1a receptor as a promising therapeutic target. In-depth insights into V1a receptor-related pathologies, attained through in vivo imaging and quantification in both peripheral organs and the central nervous system (CNS), could significantly advance the development of effective V1a inhibitors. To address this need, we develop a novel V1a-targeted positron emission tomography (PET) ligand, [F-18]V1A-2303 ([F-18]8), which demonstrates favorable in vitro binding affinity and selectivity for the V1a receptor. Specific tracer binding in peripheral tissues was also confirmed through rigorous cell uptake studies, autoradiography, biodistribution assessments. Furthermore, [F-18]8 was employed in PET imaging and arterial blood sampling studies in healthy rhesus monkeys to assess its brain permeability and specificity, whole-body distribution, and kinetic properties. Our research indicated [F-18]8 as a valuable tool for noninvasively studying V1a receptors in peripheral organs, and as a foundational element for the development of next-generation, brain-penetrant ligands specifically designed for the CNS.

关键词： Vasopressin Autism V1a receptor Positron emission tomography PET imaging Radiolabeling Fluorine 18 Kinetic modeling ARGININE-VASOPRESSIN SOCIAL RECOGNITION SEX-DIFFERENCES AVPR1A GENE AUTISM V1A ASSOCIATION ANTAGONIST OXYTOCIN POTENT

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Dice系数前向预测的快速正交正则回溯匹配追踪算法

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电子与信息学报 2024年第4期46卷 1488-1498页

作者：陈平平陈家辉王宣达方毅王锋福州大学先进制造学院泉州362251 广东工业大学信息工程学院广州510006 泉州师范学院信息工程学院泉州362200

为了提高压缩感知重构算法的成功率与重构精度,该文提出基于Dice前向预测的正交正则回溯匹配追踪算法(DLARBOMP)。在该算法中,首先从匹配准则与预选阶段原子选取的角度,利用Dice系数代替原子内积计算相关度,保留原始信号信息的特性,以... 详细信息

为了提高压缩感知重构算法的成功率与重构精度,该文提出基于Dice前向预测的正交正则回溯匹配追踪算法(DLARBOMP)。在该算法中,首先从匹配准则与预选阶段原子选取的角度,利用Dice系数代替原子内积计算相关度,保留原始信号信息的特性,以此选择与残差最匹配的原子,提高算法的重构精度。同时,针对信号重构过程回溯算法的时间过长问题,在每次原子迭代过程中,该文利用正则化选择多个原子而非单个原子,实现重构精度与重构时间的平衡。最后,通过稀疏1维信号与2维图像信号重构的实验结果,显示了所提DLARBOMP算法在1维信号重构时兼顾了性能与效率,在2维压缩图像信号重构时提高其峰值信噪比(PSNR),优于正交匹配追踪(OMP)及其最新改进贪婪类算法。

关键词：信号重构压缩感知 Dice系数正则回溯贪婪类算法

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“流动”的悖论——平台组织管理与劳动者自主性

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社会学评论 2024年第2期12卷 176-198页

作者：罗斯琦陈佳慧中山大学中国公共管理研究中心中山大学政治与公共事务管理学院南方电网产业投资集团有限责任公司

以往研究多将劳动力高流动作为平台特点,考察其强控制、低保障对正规雇佣的弱化及其导致的不稳定性,而本研究则将劳动者纳入进来。基于对外卖平台的田野调研,本研究指出,高流动实际上是资本管理和劳动自主性二者结合的产物:平台为商业... 详细信息

以往研究多将劳动力高流动作为平台特点,考察其强控制、低保障对正规雇佣的弱化及其导致的不稳定性,而本研究则将劳动者纳入进来。基于对外卖平台的田野调研,本研究指出,高流动实际上是资本管理和劳动自主性二者结合的产物:平台为商业经营目标而设计的组织管理相对重技术而轻劳动;而劳动者以“循环流动”“高价兼职”等行动进行回应。于是,平台劳动流动实质上超过了资本单方面的预期和控制,不仅造就劳动的不稳定,同时也给平台经营主体特别是代理商及其站点带来持续压力。“流动”在本质上体现的是平台多主体之间策略互动的动态过程,而这种互动尤其揭示出复杂的平台组织管理并未消除甚至创造出了劳动者自主的空间——后者虽有其局限性,但仍以新的形式在出现。

关键词：平台组织管理技术控制劳动者自主性循环流动高价兼职

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智能网联车和人驾车辆混合交通流排队长度估计模型

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浙江大学学报（工学版） 2024年第9期58卷 1935-1944页

作者：曹宁博陈家辉赵利英长安大学运输工程学院陕西西安710061 西北工业大学自动化学院陕西西安710129 西安理工大学经济与管理学院陕西西安710048

为了解决智能网联车(ICVs)和人驾车辆(HDVs)混行交叉口的排队估计问题,提出基于概率统计和贝叶斯定理的排队长度估计模型.综合考虑队列中智能网联车位置、速度和渗透率等因素,分别构建可观测队列排队长度估计模型、不可观测队列排队长... 详细信息

为了解决智能网联车(ICVs)和人驾车辆(HDVs)混行交叉口的排队估计问题,提出基于概率统计和贝叶斯定理的排队长度估计模型.综合考虑队列中智能网联车位置、速度和渗透率等因素,分别构建可观测队列排队长度估计模型、不可观测队列排队长度估计模型和渗透率估计模型,通过迭代实现排队长度和渗透率的实时估计.利用随机种子模拟不同渗透率条件下智能网联车在队列中的分布特征,分析不同交通条件下模型的估计精度.与已有模型的对比表明,在智能网联车低渗透率(10%)条件下,在非高峰时段,本研究模型、已有模型的平均绝对百分比误差(MAPE)分别为29.35%、59.68%;在高峰时段,本研究模型、已有模型的MAPE分别为26.50%、34.66%.在智能网联车高渗透率条件下(90%),在非高峰时段,本研究模型、已有模型的MAPE分别为6.90%、17.85%;在高峰时段,本研究模型、已有模型的MAPE分别为1.45%、1.05%,误差接近.本研究所提出的排队估计模型在低渗透率和高渗透率条件下均具有更好的估计精度.

关键词：混合交通流智能网联车贝叶斯定理轨迹数据排队长度估计

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