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AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence:Cases,Applications,Issues,and Future Directions

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Big Data Mining and Analytics 2024年第2期7卷 445-484页

作者： Mini Han Wang Lumin Xing Yi Pan Feng Gu Junbin Fang Xiangrong Yu Chi Pui Pang Kelvin kam-Lung Chong Carol Yim-Lui Cheung Xulin Liao Xiaoxiao Fang Jie Yang Ruoyu Zhou Xiaoshu Zhou Fengling Wang Wenjian Liu Zhuhai People’s Hospital(Zhuhai Hospital Affiliated with Jinan University/The First Affiliated Hospital of Faculty of Medicine Macao University of Science and Technology) Zhuhai 519000China Department of Ophthalmology and Visual Sciences The Chinese University of Hong KongHong Kong 999077China Faculty of Data Science City University of MacaoMacao 999078China Zhuhai Institute of Advanced Technology Chinese Academy of Sciences Zhuhai 519000China Perspective Technology Group Zhuhai 519000China First Affiliated Hospital of Shandong First Medical University Shandong Provincial Qianfoshan Hospital Jinan 250000China Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518000China College of Staten Island The City University of New YorkNY 10314USA Department of Optoelectronic Engineering Jinan UniversityGuangzhou 510000China Zhuhai Aier Eye Hospital Zhuhai 519000China College of Artificial Intelligence Chongqing Industry and Trade PolytechnicChongqing 400000China Centre for Science and Technology Exchange and Cooperation between China and Portuguese-Speaking Countries Zhuhai 519000China School of Artificial Intelligence Hezhou UniversityHezhou 542899China

This study explores the potential of Artificial Intelligence(AI)in early screening and prognosis of Dry Eye Disease(DED),aiming to enhance the accuracy of therapeutic approaches for eye-care *** the promising opportunities,challenges such as diverse diagnostic evidence,complex etiology,and interdisciplinary knowledge integration impede the interpretability,reliability,and applicability of AI-based DED detection *** research conducts a comprehensive review of datasets,diagnostic evidence,and standards,as well as advanced algorithms in AI-based DED detection over the past five *** DED diagnostic methods are categorized into three groups based on their relationship with AI techniques:(1)those with ground truth and/or comparable standards,(2)potential AI-based methods with significant advantages,and(3)supplementary methods for AI-based DED *** study proposes suggested DED detection standards,the combination of multiple diagnostic evidence,and future research directions to guide further ***,the research contributes to the advancement of ophthalmic disease detection by providing insights into knowledge foundations,advanced methods,challenges,and potential future perspectives,emphasizing the significant role of AI in both academic and practical aspects of ophthalmology.

关键词： Artificial Intelligence(AI) ophthalmology Dry Eye Disease(DED)detection multi-source evidence

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Mitigating Iron Toxicity by Using Rock Phosphate to Improve Rice Productivity

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Agricultural Sciences 2024年第4期15卷 423-438页

作者： Adama Bagayogo Honoré kam Jacques Sawadogo Moumouni Konate Moussa Sie Satoshi Nakamura Fujio Nagumo Mahamadou Sawadogo Ouaga I Uviversity Jospeph Ki-Zerbo Life and Earth Sciences Training and Research Unit (UFR/SVT) Ouagadougou Burkina Faso National Center for Scientific and Technological Research National Institute of Environment and Agricultural Research (INERA) Bobo-Dioulasso Burkina Faso Japan International Research Center for Agricultural Sciences Ibaraki Japan

Iron toxicity is a major constraint to rice production, particularly in highly weathered soils of inland valleys in Sub-Saharan Africa where the rice growing area is rapidly expanding. This study aimed to improve the productiveness of iron toxicity sensitive’s rice fields as well as in the unsensitive fields by using local phosphate fertilizers. Eighteen (18) rice genotypes were been assessed in a split plot design in two areas: without iron toxicity and with iron toxicity. NPK, NK, Rock Phosphate, Triple super phosphate, Calcined phosphate and Acidulated phosphate were used as fertilizers. Data collection was focused on agronomic traits and yield (g/m2). The best fertilizers in the area without iron toxicity were NPK (820.2 g/m2) and triple super phosphate (751.7 g/m2). In the iron toxicity area, the best yields were performed by NPK (785.5 g/m2) and raw calcined phosphate (698.3 g/m2). Yet, the Accessions 15, Accessions 225, Accessions 226 and Accessions 270 were rainfed rice genotypes while CC109 A, HB 46 and HB 62 were low-land/irrigated rice genotypes. NPK, NK and acidulated phosphate fertilizers alleviate the best, iron toxicity in both sensitive and unsensitive rice fields.

关键词： Oryza NPK NK Rock Phosphate Rice

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Thermal Performance Analysis of Plaster Reinforced with Raffia Vinifera Particles for Use as Insulating Materials in Building

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Journal of Minerals and Materials Characterization and Engineering 2024年第2期12卷 112-138页

作者： Etienne Malbila Danielle manuella Djouego Tagne Bouto Kossi Imbga Lareba Adelaide Ouedraogo Sié kam David Yemboini Kader Toguyeni Ecole Supé rieure d&#8217Ing&#233nierie (ESI) Universit&#233 de Fada N&#8217Gourma Fada N&#8217Gourma Burkina Faso Laboratoire d’ Energies Thermiques Renouvelables (LETRE) Universit&#233 Joseph KI-ZERBO Ouagadougou Burkina Faso Institut Supé rieur des Techniques Industrielles et Commerciales (ISTIC) Bangangt&#233 Cameroun Unité de Formation et de Recherche en Sciences et Technologies (UFR/ST) Université Norbert ZONGO Koudougou Burkina Faso Laboratoire de Physique et Chimie de l’ Environnemen (LPCE) Universit&#233 Joseph KI-ZERBO Ouagadougou Burkina Faso Ecole Polytechnique de Ouagadougou (EPO) Ouagadougou Burkina Faso

The present study focuses on the formulation of new composite consisting of plaster and raffia vinifera particle (RVP) with the purpose to reducing energy consumption. The aim of this study is to test this new compound as an insulating eco-material in building in a tropical climate. The composites samples were developed by mixing plaster with raffia vinifera particles (RVP) using three different sizes (1.6 mm, 2.5 mm and 4 mm). The effects of four different RVP incorporations rates (i.e., 0wt%, 5wt%;10wt%;15wt%) on physical, thermal, mechanicals properties of the composites were investigated. In addition, the use of the raffia vinifera particles and plaster based composite material as building envelopes thermal insulation material is studied by the habitable cell thermal behavior instrumentation. The results indicate that the incorporation of raffia vinifera particle leads to improve the new composite physical, mechanical and thermal properties. And the parametric analysis reveals that the sampling rate and the size of raffia vinifera particles are the most decisive factor to impact these properties, and to decreases in the thermal conductivity which leads to an improvement to the thermal resistance and energy savings. The best improvement of plaster composite was obtained at the raffia vinifera particles size between 2.5 and 4.0 mm loading of 5wt% (C95P5R) with a good ratio of thermo-physical-mechanical properties. Additionally, the habitable cell experimental thermal behavior, with the new raffia vinifera particles and plaster-based composite as thermal insulating material for building walls, gives an average damping of 4°C and 5.8°C in the insulated house interior environment respectively for cold and hot cases compared to the outside environment and the uninsulated house interior environment. The current study highlights that this mixture gives the new composite thermal insulation properties applicable in the eco-construction of habitats in tropical environments

关键词： Fibres Plaster Thermal Test Mechanical Test Insulating Material Indoor Comfort

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Influence of Heavy Fuel Oil on the Thermo-Physical and Erodibility Properties of Earthen Materials

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Journal of Minerals and Materials Characterization and Engineering 2024年第1期12卷 37-48页

作者： Ohindemi G. Yameogo Donzala D. Some Souleymane Ouedraogo Philbert Nshimiyimana Sié kam Dieudonné J. Bathiebo Laboratoire d’Energies Thermiques Renouvelables (L.E.T.RE) Unité de Formation et de Recherche en Sciences Exactes et Appliquées (UFR-SEA) University Joseph Ki-Zerbo of Ouagadougou Ouagadougou Burkina Faso Ministry in Charge of Infrastructures Ouagadougou Burkina Faso Department of Civil Engineering and Architectural Design Graduate School of Science and Engineering Saga University Saga Japan Laboratoire Eco-Matériaux et Habitats Durables (LEMHaD) Institut International d’Ingénierie de l’Eau et de L’Environnement (Institut 2iE) Ouagadougou Burkina Faso

This study focuses on the use of heavy fuel oil in construction material in Burkina Faso. Its mixture with silty or clayey soil is used as a coating to reinforce the walls of raw earth constructions which are very sensitive to water. The interest of this study is to determine erodibility, water content, while highlighting the influence of the porosity accessible by water on thermal diffusion in construction material containing heavy fuel oil. The heavy fuel oil was mixed with a silty-clayey soil, in different proportions, and water to make bricks samples on which tests were carried out. At the end of the experimental tests, it appears that the water content increases gradually, but not significantly with the addition of heavy fuel oil, which causes a slight increase in the speed of heat propagation through the material with reduced porosity, particularly those containing higher quantities of heavy fuel oil. Conversely, we note a good performance of heavy fuel oil in terms of water resistance properties such as porosity accessible by water and erodibility. This allows us to conclude that the mixture of heavy fuel oil and silty-clayey soil used as a coating material could greatly reduce water infiltration into the walls of housing constructions with raw earthen materials.

关键词： Porosity Accessible by Water Erodibility Water Content Thermal Diffusion

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Contribution of Satellite Observations in the Optical and Microphysical Characterization of Aerosols in Burkina Faso, West Africa

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Atmospheric and Climate Sciences 2024年第1期14卷 154-171页

作者： Nébon Bado Serge Dimitri Bazyomo Germain Wende Pouiré Ouedraogo Bruno Korgo Mamadou Simina Dramé Florent P. Kieno Sié kam Laboratoire d’Energies Thermiques Renouvelables (L.E.T.RE) Université Joseph KI ZERBO Ouaga Burkina Faso Laboratoire de Physique de l’Atmosphère et de l’Océan Siméon-Fongang Université Cheikh Anta DIOP Dakar-Fann Sénégal Institute of Mathematics and Physical Sciences University of Abomey-Calavi Porto-Novo Benin

In this work, we proceed to an optical and microphysical analysis of the observations reversed by the MODIS, SeaWiFS, MISR and OMI sensors with the aim of proposing the best-adapted airborne sensor for better monitoring of aerosols in Burkina Faso. To this end, a comparison of AOD between satellite observations and in situ measurements at the Ouagadougou site reveals an underestimation of AERONET AOD except for OMI which overestimates them. Also, an inter-comparison done based on the linear regression line representation shows the correlation between the aerosol models incorporated in the airborne sensor inversion algorithms and the aerosol population probed. This can be seen through the correlation coefficients R which are 0.84, 0.64, 0.55 and 0.054 for MODIS, SeaWiFS, MISR and OMI respectively. Furthermore, an optical analysis of aerosols in Burkina Faso by the MODIS sensor from 2001 to 2016 indicates a large spatial and temporal variability of particles strongly dominated by desert dust. This is corroborated by the annual and seasonal cycles of the AOD at 550 nm and the Angström coefficient measured in the spectral range between 412 nm and 470 nm. A zoom on a few sites chosen according to the three climatic zones confirms the majority presence of mineral aerosols in Burkina Faso, whose maxima are observed in spring and summer.

关键词： AERONET Airborne Sensors Aerosol Optical and Microphysical Properties

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基于遥感数据与数值模式的浒苔漂移输运预报:以江苏近海为例

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海洋学研究 2024年第1期42卷 69-82页

作者：林连杰董昌明嵇宇翔 LIM kam SIAN Kenny Thiam Choy 李兆鑫蒋星亮曹玉晗高慧王胜强曹茜南京信息工程大学海洋科学学院江苏南京210044 江苏省连云港市气象局江苏连云港222006 无锡学院江苏无锡214105 华东师范大学河口海岸学国家重点实验室上海200241 复旦大学大气与海洋科学系上海200433 江苏海洋大学海洋技术与测绘学院江苏连云港222005

浒苔暴发是影响全球近岸海域最为严重的海洋灾害之一,引起了社会各方的重视。该研究基于大气-波浪-海洋集合模式,根据卫星遥感数据提取浒苔位置,采用拉格朗日漂流模式对浒苔进行追踪并预报其漂移路径。与卫星观测结果对比表明,该集合模... 详细信息

浒苔暴发是影响全球近岸海域最为严重的海洋灾害之一,引起了社会各方的重视。该研究基于大气-波浪-海洋集合模式,根据卫星遥感数据提取浒苔位置,采用拉格朗日漂流模式对浒苔进行追踪并预报其漂移路径。与卫星观测结果对比表明,该集合模式能够较好地预报浒苔的位置、分布及其漂移路径。此外,该研究还讨论了Stokes漂流对于模式预报的影响,结果表明考虑Stokes漂流可以修正浒苔漂移路径,有效提高预报的准确性。

关键词：浒苔模式预报 Stokes漂流江苏近海

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Evaluation of Water Losses by Evaporation in the Nakanbe Basin

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Atmospheric and Climate Sciences 2024年第1期14卷 29-41页

作者： Bayala Alfred Kabre Sayouba Yonli Hamma Fabien Chesneau Xavier Thierry Sikoudouin Maurice Ky Zeghmati Belkacem Kieno P. Florent kam Sié Unité de Formation et de Recherche en Sciences Exactes et Appliquées (UFR/SEA) Laboratoire d’Energies Thermiques Renouvelables (LETRE) Université Joseph KI-ZERBO Ouagadougou Burkina Faso Unité de Formation et de recherche en Science Exactes et Appliquées Centre Universitaire de Kaya (CU-K) Perpignan France Laboratoire de Modélisation Pluridisciplinaire et Simulation Université de Perpignan Via Domitia Perpignan France Unité de Formation et de Recherche en Sciences Exactes et Appliquées (UFR/SEA) Laboratoire de Matériaux et Environnement Uni-versité Joseph KI-ZERBO Ouagadougou Burkina Faso Laboratoire de Physique et Chimie de l’ Environnement (LPCE) Université Joseph KI-ZERBO Ouagadougou Burkina Faso

A numerical approach to heat and mass transfer in a large water reservoir is presented. This water reservoir is likened to a parallelepiped reservoir whose vertical and lower walls are adiabatic and impermeable. The equations that govern natural convection in water are solved by the finite volume method and Thomas’salgorithm. The adequacy between the velocity and pressure fields is ensured by the SIMPLE algorithm. We are going to evaluate the water losses by evaporation from three dams in the Nakanbé basin in Burkina Faso for a period of thirty years, that is to say from January 1, 1991, to March 15, 2020. The three dams have a rate of evaporation greater than 40% of the volume of water stored. Indeed the rate of evaporation in each dam increases with the water filling rate in the reservoir: we have observed the following results for each dam in the Nakanbé basin;for the date of 02/27/1988 to 03/13/2020., the Loumbila dam received a total volume of stored water of 22.02 Mm3 and 10.57 Mm3 as the total volume of water evaporated at the same date. At the Ouaga dam (2 + 3), it stored a water volume of 4.06 Mm3 and evaporated 2.03 Mm3 of its storage volume from 01/01/1988 to 05/07/2016. Finally, with regard to the Bagré dam, it stored 745.16 Mm3 of water and 365.13 Mm3 as the volume of water evaporated from 01/01/1993 to 03/31/2020.

关键词： Numerical Study Evaporation Meteorological Data Natural Convection Basins Dams

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Synthesis and applications of MOF-derived porous nanostructures

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Green Energy & Environment 2017年第3期2卷 218-245页

作者： Min hui Yap kam Loon Fow George Zheng Chen Department of Chemical and Environmental Engineering and Energy Engineering Research Group Faculty of Science and Engineering University of Nottingham Ningbo China Department of Chemical and Environmental Engineering and Advanced Materials Research Group Faculty of Engineering University of Nottingham

Metal organic frameworks(MOFs) represent a class of porous material which is formed by strong bonds between metal ions and organic linkers. By careful selection of constituents, MOFs can exhibit very high surface area, large pore volume, and excellent chemical *** on synthesis, structures and properties of various MOFs has shown that they are promising materials for many applications, such as energy storage, gas storage, heterogeneous catalysis and sensing. Apart from direct use, MOFs have also been used as support substrates for nanomaterials or as sacrificial templates/precursors for preparation of various functional nanostructures. In this review, we aim to present the most recent development of MOFs as precursors for the preparation of various nanostructures and their potential applications in energy-related devices and processes. Specifically, this present survey intends to push the boundaries and covers the literatures from the year 2013 to early 2017,on supercapacitors, lithium ion batteries, electrocatalysts, photocatalyst, gas sensing, water treatment, solar cells, and carbon dioxide ***, an outlook in terms of future challenges and potential prospects towards industrial applications are also discussed.

关键词： Metal organic frameworks Porous nanostructures Supercapacitors Lithium ion batteries Heterogeneous catalyst

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Phase Retrieval via Sensor Network Localization

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Journal of the Operations Research Society of China 2019年第1期7卷 127-146页

作者： Sherry Xue-Ying Ni man-Chung Yue kam-Fung Cheung Anthony man-Cho So Department of Systems Engineering and Engineering management The Chinese University of Hong KongHong KongChina Imperial College Business School Imperial College LondonLondonUK Institute of Transport and Logistics Studies The University of SydneySydneyAustralia

The problem of phase retrieval is revisited and studied from a fresh *** particular,we establish a connection between the phase retrieval problem and the sensor network localization problem,which allows us to utilize the vast theoretical and algorithmic literature on the latter to tackle the *** this connection,we develop a two-stage algorithm for phase retrieval that can provably recover the desired *** both sparse and dense settings,our proposed algorithm improves upon prior approaches simultaneously in the number of required measurements for recovery and the reconstruction *** present numerical results to corroborate our theory and to demonstrate the efficiency of the proposed *** a side result,we propose a new form of phase retrieval problem and connect it to the complex rigidity theory proposed by Gortler and Thurston(in:Connelly R,Ivic Weiss A,Whiteley W(eds)Rigidity and symmetry,Springer,New York,pp 131–154,2014).

关键词： Phase retrieval Distance geometry Rigidity theory Sensor network localization

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Computational Approaches for Traditional Chinese Painting: From the “Six Principles of Painting” Perspective

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Journal of Computer Science & Technology 2024年第2期39卷 269-285页

作者：张玮张建伟黄锦畦王懿芳封颖超杰王璐玮陈为 State Key Laboratory of CAD&CG Zhejiang UniversityHangzhou 310058China Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong 999077China Kellogg School of management Northwestern UniversityEvanston 60208U.S.A Laboratory of Art and Archaeology Image Zhejiang UniversityHangzhou 310058China

Traditional Chinese painting(TCP)is an invaluable cultural heritage resource and a unique visual art *** recent years,there has been a growing emphasis on the digitalization of TCP for cultural preservation and *** resulting digital copies have enabled the advancement of computational methods for a structured and systematic understanding of *** explore this topic,we conduct an in-depth analysis of 94 pieces of *** examine the current use of computer technologies on TCP from three perspectives,based on numerous conversations with ***,in light of the“Six Principles of Painting”theory,we categorize the articles according to their research focus on artistic ***,we create a four-stage framework to illustrate the purposes of TCP ***,we summarize the popular computational techniques applied to *** work also provides insights into potential applications and prospects,with professional opinion.

关键词： traditional Chinese painting(TCP) digital humanities cultural heritage computer vision deep learning

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