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Enhancing hourly heat demand prediction through artificial neural networks:A national level case study

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Energy and AI 2024年第1期15卷 288-299页

作者： Meng Zhang Michael-allan Millar Si Chen Yaxing Ren Zhibin Yu James Yu James Watt School of Engineering University of GlasgowGlasgowG128QQUK University of Lincoln Brayford PoolLincolnLN67TSUK Scottish Power GlasgowG28DQUK

Meeting the goal of zero emissions in the energy sector by 2050 requires accurate prediction of energy consumption,which is increasingly ***,conventional bottom-up model-based heat demand forecasting methods are not suitable for large-scale,high-resolution,and fast forecasting due to their complexity and the difficulty in obtaining model *** paper presents an artificial neural network(ANN)model to predict hourly heat demand on a national level,which replaces the traditional bottom-up model based on extensive building simulations and *** ANN model significantly reduces prediction time and complexity by reducing the number of model input types through feature selection,making the model more realistic by removing non-essential *** improved model can be trained using fewer meteorological data types and insufficient data,while accurately forecasting the hourly heat demand throughout the year within an acceptable error *** model provides a framework to obtain accurate heat demand predictions for large-scale areas,which can be used as a reference for stakeholders,especially policymakers,to make informed decisions.

关键词： Heating demand in buildings National level forecast Feature selection Machine learning Artificial neural network

DNA methylation controlling abscisic acid catabolism responds to light to mediate strawberry fruit ripening

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Journal of Integrative Plant Biology 2024年第8期66卷 1718-1734页

作者： Yunfan Sun Xiaofang Yang Rongrong Wu Shouzheng Lv Yunduan Li Haoran Jia Yuying Yang Baijun Li Wenbo Chen Andrew C.allan Guihua Jiang Yan-Na Shi Kunsong Chen College of Agriculture&Biotechnology Zhejiang UniversityZijingang CampusHangzhou 310058China Institute of Horticulture Zhejiang Academy of Agricultural SciencesHangzhouZhejiang 310021China Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology Zhejiang UniversityZijingang CampusHangzhou 310058China The State Agriculture Ministry Laboratory of Horticultural Plant Growth Development and Quality ImprovementZhejiang UniversityZijingang CampusHangzhou 310058China New Zealand Institute for Plant&Food Research Limited Private Bag 92169AucklandNew Zealand School of Biological Sciences University of AucklandPrivate Bag 92019AucklandNew Zealand

Phytohormones,epigenetic regulation and environmental factors regulate fruit ripening but their interplay during strawberry fruit ripening remains to be *** this study,bagged strawberry fruit exhibited delayed ripening compared with fruit grown in normal light,correlating with reduced abscisic acid(ABA) *** of the key ABA catabolism gene,ABA 8′-hydroxylase FaCYP707A4,was induced in bagged *** light exclusion whole genome DNA methylation levels were up-regulated,corresponding to a delayed ripening process,while DNA methylation levels in the promoter of FaCYP707A4 were suppressed,correlating with increases in transcript and decreased ABA *** indicated FaCRY1,a blue light receptor repressed in bagged fruit and FaAGO4,a key protein involved in RNA-directed DNA methylation,could bind to the promoter of *** interaction between FaCRY1 and FaAGO4,and an increased enrichment of FaAGO4 directed to the FaCYP707A4 promoter in fruit grown under light suggests FaCRY1 may influence FaAGO4 to modulate the DNA methylation status of the FaCYP707A4 ***,transient overexpression of FaCRY1,or an increase in FaCRY1 transcription by blue light treatment,increases the methylation level of the FaCYP707A4 promoter,while transient RNA interference of FaCRY1 displayed opposite *** findings reveal a mechanism by which DNA methylation influences ABA catabolism,and participates in light-mediated strawberry ripening.

关键词： ABA catabolism DNA methylation light ripening strawberry

Plant growth and metabolism of exotic and native Crotalaria species for mine land rehabilitation in the Amazon

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Journal of Forestry Research 2024年第1期35卷 143-154页

作者： Hemelyn Soares das Chagas Rafael Silva Guedes Markus Gastauer Paula Godinho Ribeiro allan Klynger da Silva Lobato Cecílio Frois Caldeira Fabrício William deÁvila AndréRodrigues dos Reis Silvio Junio Ramos Instituto Tecnológico Vale Rua Boaventura da Silva955BelémPA 66055-090Brazil Universidade Federal do Sul e Sudeste do Pará XinguaraPABrazil Núcleo de Pesquisa Vegetal Básica e Aplicada Universidade Federal Rural da AmazôniaParagominasPABrazil Departamento de Engenharia Florestal Universidade Estadual do Centro-Oeste/UNICENTROIratiPRBrazil School of Sciences and Engineering São Paulo State University(UNESP)TupãSP.CEP 17602-496Brazil

Despite its enormous benefits,mining is respon-sible for intense changes to vegetation and soil ***,after extraction,it is necessary to rehabilitate the mined areas,creating better conditions for the establishment of plant species which is *** study evaluated mineral and organic fertilization on the growth,and carbon and nitrogen(N)metabolism of two Crotalaria species[Cro-talaria spectabilis(exotic species)and Crotalaria maypu-rensis(native species from Carajás Mineral Province(CMP)]established on a waste pile from an iron mine in CMP.A control(without fertilizer application)and six fertilization mixtures were tested(i=NPK;ii=NPK+micronutrients;iii=NPK+micronutrients+organic compost;iv=PK;v=PK+micronutrients;vi=PK+micronutrients+organic compost).Fertilization contributed to increased growth of both species,and treatments with NPK and micronutrients had the best results(up to 257%***),while organic fertilization did not show *** Crotalaria had a greater number of nodules,higher nodule dry mass,chlorophyll a and b contents and showed free ammonium as the predominant N form,reflecting greater increments in biomass compared to native *** having lower growth,the use of this native species in the rehabilitation of mining areas should be considered,mainly because it has good development and meets current government legislation as an opportunity to restore local biodiversity.

关键词： Biological nitrogen fixation Mining Nitrogen metabolism Plant nutrition

语言风格对在线评论有用性的影响:调节定向视角

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南开管理评论 2024年第3期27卷 234-244,I0043,I0044页

作者：朱振中房晓芸单明辉 Haipeng(allan)Chen 山东理工大学管理学院 Tippie College of Business University of Iowa

在线评论已经成为许多消费者进行购买决策的重要依据。基于调节定向理论和诊断性模型,本文探讨了在线评论语言风格与调节定向对评论有用性的交互作用、影响机制及边界条件。通过三个实验研究发现,对预防定向(vs.促进定向)消费者而言,陈... 详细信息

在线评论已经成为许多消费者进行购买决策的重要依据。基于调节定向理论和诊断性模型,本文探讨了在线评论语言风格与调节定向对评论有用性的交互作用、影响机制及边界条件。通过三个实验研究发现,对预防定向(vs.促进定向)消费者而言,陈述性(vs.修辞性)语言更能产生评论有用性感知,而感知诊断性发挥中介作用。本文也确定了服务类型对该机制的再调节作用:对体验服务而言,预防定向(vs.促进定向)消费者对陈述性(vs.修辞性)语言产生更高评论有用性;对信任服务而言,两种调节定向消费者都更喜欢陈述性语言。

关键词：在线评论语言风格调节定向感知诊断性评论有用性

神经氨酸酶抑制剂防治甲、乙型流感的疗效:随机对照试验的系统性回顾及汇总分析

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英国医学杂志中文版 2003年第4期6卷 254-254页

作者： Nicola J Cooper Alexander J Sutton Keith R Abrams allan wailoo David A Turner Karl G Nicholson 顾佳

研究目的:回顾奥斯他韦(oseltamivir)和扎那米韦(zanamivir)防治甲、乙型流感的临床疗效。研究设计:对随机对照试验进行系统性回顾和汇总分析。资料来源:从电子文献数据库中检索已发表的研究,从生产商手中获取补充资料。

关键词：降压治疗血糖心肌梗死降压药物胰岛素

Application of artifcial intelligence in cataract management:current and future directions

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Eye and Vision 2024年第1期10卷 21-30页

作者： Laura Gutierrez Jane Sujuan Lim Li Lian Foo Wei Yan Ng Michelle Yip Gilbert Yong San Lim Melissa Hsing Yi Wong allan Fong Mohamad Rosman Jodhbir Singth Mehta Haotian Lin Darren Shu Jeng Ting Daniel Shu Wei Ting Singapore Eye Research Institute SingaporeSingapore Singapore National Eye Center 11 Third Hospital AvenueSingapore 168751Singapore Academic Ophthalmology School of MedicineUniversity of NottinghamNottinghamUK Zhongshan Ophthalmic Center Sun Yet Sen UniversityGuangzhouChina

The rise of artifcial intelligence(AI)has brought breakthroughs in many areas of *** ophthalmology,AI has delivered robust results in the screening and detection of diabetic retinopathy,age-related macular degeneration,glaucoma,and retinopathy of *** management is another feld that can beneft from greater AI *** is the leading cause of reversible visual impairment with a rising global clinical *** diagnosis,monitoring,and surgical management are necessary to address this *** addition,patients in large developing countries often sufer from limited access to tertiary care,a problem further exacerbated by the ongoing COVID-19 *** on the other hand,can help transform cataract management by improving automation,efcacy and overcoming geographical ***,AI can be applied as a telediagnostic platform to screen and diagnose patients with cataract using slit-lamp and fundus *** utilizes a deep-learning,convolutional neural network(CNN)to detect and classify referable cataracts ***,some of the latest intraocular lens formulas have used AI to enhance prediction accuracy,achieving superior postoperative refractive results compared to traditional ***,AI can be used to augment cataract surgical skill training by identifying diferent phases of cataract surgery on video and to optimize operating theater workfows by accurately predicting the duration of surgical ***,some AI CNN models are able to efectively predict the progression of posterior capsule opacifcation and eventual need for YAG laser *** advances in AI could transform cataract management and enable delivery of efcient ophthalmic *** key challenges include ethical management of data,ensuring data security and privacy,demonstrating clinically acceptable performance,improving the generalizability of AI models across heterogeneous populations,and improving the trust of e

关键词： Artifcial intelligence Telemedicine Cataract Cataract screening Cataract surgery IOL calculations Biometry Machine learning

生物标志物在鼻咽癌早期检测中的研究进展（英文）

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Science Bulletin 2024年第2期 141-145页

作者：郑小辉 allan Hildesheim 贾卫华 State Key Laboratory of Oncology in South China Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy Guangdong Provincial Clinical Research Center for Cancer Sun Yat-sen University Cancer Center Costa Rican Agency for Biomedical Investigation INCIENSA Foundation

Nasopharyngeal carcinoma(NPC), a highly invasive and metastatic cancer, is widely prevalent in South China, Southeast Asia,and North Africa. NPC patients with stages Ⅰ and Ⅱ are often asymptomatic. Therefore, NPC patients are usually diagnosed with advanced-stage(stages Ⅲ and Ⅳ) at their first visit. Detection of NPC at early stage is the key to improve the survival of patients.

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Telematics as a Transformative Agent for the Zimbabwean Auto Insurance Ecosystem

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Journal of Computer and Communications 2024年第7期12卷 39-58页

作者： Prosper Tafadzwa Denhere Joyce Denhere Gracious Mutipforo Chipo Katsande allan Muzenda Nelson Matanana Gibson Muridzi Department of Computer Science and Information Systems Manicaland State University of Applied Sciences Mutare Zimbabwe Department of Risk Advisory Manicaland State University of Applied Sciences Mutare Zimbabwe Department of Business Sciences Manicaland State University of Applied Sciences Mutare Zimbabwe

Zimbabwe has witnessed the evolution of Information Communication Technology (ICT). The vehicle population soared to above 1.2 million hence rendering the Transport and Insurance domains complex. Therefore, there is a need to look at ways that can augment conventional Vehicular Management Information Systems (VMIS) in transforming business processes through Telematics. This paper aims to contextualise the role that telematics can play in transforming the Insurance Ecosystem in Zimbabwe. The main objective was to investigate the integration of Usage-Based Insurance (UBI) with vehicle tracking solutions provided by technology companies like Econet Wireless in Zimbabwe, aiming to align customer billing with individual risk profiles and enhance the synergy between technology and insurance service providers in the motor insurance ecosystem. A triangulation through structured interviews, questionnaires, and literature review, supported by Information Systems Analysis and Design techniques was conducted. The study adopted a case study approach, qualitatively analyzing the complexities of the Telematics insurance ecosystem in Zimbabwe, informed by the TOGAF framework. A case-study approach was applied to derive themes whilst applying within and cross-case analysis. Data was collected using questionnaires, and interviews. The findings of the research clearly show the importance of Telematics in modern-day insurance and the positive relationship between technology and insurance business performance. The study, therefore revealed how UBI can incentivize positive driver behavior, potentially reducing insurance premiums for safe drivers and lowering the incidence of claims against insurance companies. Future work can be done on studying the role of Telematics in combating highway crime and corruption.

关键词： Telematics Vehicle Tracking Systems Usage Based Insurance Digital Insurance Vehicle Management Information Systems Intelligent Transportation Systems

Development of Long-Range,Low-Powered and Smart IoT Device for Detecting Illegal Logging in Forests

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Journal of Dynamics, Monitoring and Diagnostics 2024年第3期3卷 190-198页

作者： Samuel Ayankoso Zuolu Wang Dawei Shi Wenxian Yang allan Vikiru Solomon Kamau Henry Muchiri Fengshou Gu Centre for Efficiency and Performance Engineering University of HuddersfieldHuddersfield HD13DHUK School of Computing and Engineering Sciences Strathmore UniversityMadarakaNairobi***Kenya

Forests promote the conservation of biodiversity and also play a crucial role in safeguarding theenvironment against erosion,landslides,and climate ***,illegal logging remains a significant threatworldwide,necessitating the development of automatic logging detection systems in *** paper proposesthe use of long-range,low-powered,and smart Internet of Things(IoT)nodes to enhance forest *** research framework involves developing IoT devices for forest sound classification andtransmitting each node’s status to a gateway at the forest base station,which further sends the obtained datathrough cellular connectivity to a cloud *** key issues addressed in this work include sensor and boardselection,Machine Learning(ML)model development for audio classification,TinyML implementation on amicrocontroller,choice of communication protocol,gateway selection,and power consumption *** the existing solutions,the developed node prototype uses an array of two microphone sensors forredundancy,and an ensemble network consisting of Long Short-Term Memory(LSTM)and ConvolutionalNeural Network(CNN)models for improved classification *** model outperforms LSTM and CNNmodels when used independently and also gave 88%accuracy after ***,this solutiondemonstrates cost efficiency and high potential for scalability.

关键词： illegal logging forest monitoring internet of things nodes TinyML sound classification