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Estimating the change of porosity in the saturated zone during air sparging

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Journal of Environmental Sciences 2006年第4期18卷 675-679页

作者： yih-jin tsai Yu-chia Kuo Tsu-chi Chen Feng-chih Chou Department of Environment and Resources Engineering Diwan College of Managemen t No. 87-1 Nansh Li Madou Tainan Taiwan China

Air sparging is a remedial method for groundwater. The remedial region is similar to the air flow region in the saturated zone. If soil particles are transported during air sparging, the porosity distributions in the saturated zone change, which may alter the flow path of the air. To understand better the particle movement, this study performed a sandbox test to estimate the soil porosity change during air sparging. A clear fracture was formed and the phenomenon of particle movement was observed when the air injection was started. The moved sand filled the porous around the fracture and the reparked sand filled the fracture, reducing the porosity around the fracture. The results obtained from the photographs of the sandbox, the current measurements and the direct sand sample measurements were close to each other and are credible. Therefore, air injection during air sparging causes sand particle movement of sand, altering the characteristic of the sand matrix and the air distribution.

关键词： air sparging sandbox test particle movement current measurement

Review Integration of smartphone technology and artificial intelligence for advanced ophthalmic care:A systematic review

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Advances in Ophthalmology Practice and Research 2024年第3期4卷 120-127页

作者： Kai jin Yingyu Li Hongkang Wu yih Chung Tham Victor Koh Yitian Zhao Ryo Kawasaki Andrzej Grzybowski Juan Ye Eye Center The Second Affiliated Hospital of Zhejiang University School of MedicineZhejiang Provincial Key Laboratory of OphthalmologyZhejiang Provincial Clinical Research Center for Eye DiseasesZhejiang Provincial Engineering Institute on Eye DiseasesHangzhouChina Centre for Innovation and Precision Eye Health National University of SingaporeSingapore Department of Ophthalmology National University of SingaporeSingapore Singapore Eye Research Institute Singapore National Eye CentreSingapore Ophthalmology and Visual Science Academic Clinical Program Duke-NUS Medical SchoolSingapore Cixi Institute of Biomedical Engineering Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Ningbo Eye Hospital NingboChina Zhejiang International Scientific and Technological Cooperative Base of Biomedical Materials and Technology Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Zhejiang Engineering Research Center for Biomedical Materials Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Division of Public Health Department of Social MedicineGraduate School of MedicineOsaka UniversityOsakaJapan Artificial Intelligence Center for Medical Research and Application Osaka University HospitalOsakaJapan Institute for Research in Ophthalmology Foundation for Ophthalmology DevelopmentPoznanPoland

Background:The convergence of smartphone technology and artificial intelligence(AI)has revolutionized the landscape of ophthalmic care,offering unprecedented opportunities for diagnosis,monitoring,and management of ocular ***,there is a lack of systematic studies on discussing the integration of smart-phone and AI in this *** text:This review includes 52 studies,and explores the integration of smartphones and AI in ophthalmology,delineating its collective impact on screening methodologies,disease detection,telemedicine initiatives,and patient *** collective findings from the curated studies indicate promising performance of the smartphone-based AI screening for various ocular diseases which encompass major retinal diseases,glaucoma,cataract,visual impairment in children and ocular surface ***,the utilization of smartphone-based imaging modalities,coupled with AI algorithms,is able to provide timely,efficient and cost-effective screening for ocular *** modality can also facilitate patient self-monitoring,remote patient monitoring and enhancing accessibility to eye care services,particularly in underserved *** involving data pri-vacy,algorithm validation,regulatory frameworks and issues of trust are still need to be ***,evaluation on real-world implementation is imperative as well,and real-world prospective studies are currently ***:Smartphone ocular imaging merged with AI enables earlier,precise diagnoses,personalized treat-ments,and enhanced service accessibility in eye *** is crucial to navigate ethical and data security challenges while responsibly leveraging these innovations,promising a potential revolution in care access and global eye health equity.

关键词： Artificial intelligence Smartphone imaging Ophthalmology Telemedicine Ocular disease management

Studies on the alcohol exchange reactions of methoxide ditungsten [W(IV)] compound W_2Cl_4(OCH_3)_4(CH_3OH)_2, prepared from (n-Bu_4N)_3W_2Cl_9

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Chinese Journal of Chemistry 1990年第6期8卷 520-528页

作者： HONG Bo jin, Song-Lin yih-Tong KU (GU, Yi-Dong), Department of Chemistry, Fudan University, Shanghai 200433 CHEN, Ming-QinCenter of Analyses and Measurements, Fudan University, Shanghai 200433 Department of Chemistry Fudan University Shanghai 200433 Center of Analyses and Measurements Fudan University Shanghai 200433

(n-Bu_4N)_3W_2Cl_9, prepared from K_3W_2Cl_9, can be readily converted to a series of [W(IV)]cluster compounds,W_3Cl_4(μ-OR)_2(OR')_2(R'OH)_2, including seven known compounds and two newcompounds with R=Me, R＇=i-Pr ... 详细信息

关键词： CI prepared from HONG Bo jin Song-Lin yih-Tong KU Studies on the alcohol exchange reactions of methoxide ditungsten Yi-Dong compound W2Cl4 n-Bu4N CH3OH Fudan University GU Cl IV

Ocular image-based deep learning for predicting refractive error:A systematic review

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Advances in Ophthalmology Practice and Research 2024年第3期4卷 164-172页

作者： Samantha Min Er Yew Yibing Chen Jocelyn Hui Lin Goh David Ziyou Chen Marcus Chun jin Tan Ching-Yu Cheng Victor Teck Chang Koh yih Chung Tham Department of Ophthalmology Yong Loo Lin School of MedicineNational University of SingaporeSingapore Centre for Innovation and Precision Eye Health Yong Loo Lin School of MedicineNational University of SingaporeSingapore School of Chemistry Chemical Engineeringand BiotechnologyNanyang Technological UniversitySingapore Singapore Eye Research Institute Singapore National Eye CentreSingapore Department of Ophthalmology National University HospitalSingapore Ophthalmology and Visual Sciences(Eye ACP) Duke-NUS Medical SchoolSingapore

ackground:Uncorrected refractive error is a major cause of vision impairment worldwide and its increasing prevalent necessitates effective screening and management ***,deep learning,a subset of Artificial Intelligence,has significantly advanced ophthalmological diagnostics by automating tasks that required extensive clinical *** recent studies have investigated the use of deep learning models for refractive power detection through various imaging techniques,a comprehensive systematic review on this topic is has yet be *** review aims to summarise and evaluate the performance of ocular image-based deep learning models in predicting refractive *** text:We search on three databases(PubMed,Scopus,Web of Science)up till June 2023,focusing on deep learning applications in detecting refractive error from ocular *** included studies that had reported refractive error outcomes,regardless of publication *** systematically extracted and evaluated the continuous outcomes(sphere,SE,cylinder)and categorical outcomes(myopia),ground truth measurements,ocular imaging modalities,deep learning models,and performance metrics,adhering to PRISMA *** studies were identified and categorised into three groups:retinal photo-based(n=5),OCT-based(n=1),and external ocular photo-based(n=3).For high myopia prediction,retinal photo-based models achieved AUC between 0.91 and 0.98,sensitivity levels between 85.10%and 97.80%,and specificity levels between 76.40%and 94.50%.For continuous prediction,retinal photo-based models reported MAE ranging from 0.31D to 2.19D,and R^(2) between 0.05 and *** OCT-based model achieved an AUC of 0.79–0.81,sensitivity of 82.30%and 87.20%and specificity of 61.70%–68.90%.For external ocular photo-based models,the AUC ranged from 0.91 to 0.99,sensitivity of 81.13%–84.00%and specificity of 74.00%–86.42%,MAE ranges from 0.07D to 0.18D and accuracy ranges from 81.60%to 96.70%.The reported papers colle

关键词： Deep Learning Artificial Intelligence Refractive Error Retinal images Optical Coherence Tomography Photorefraction Ocular images Prediction

A new prognostic histopathologic classification of nasopharyngeal carcinoma

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Chinese Journal of Cancer 2016年第6期35卷 30-45页

作者： Hai-Yun Wang yih-Leong Chang Ka-Fai To Jacqueline S.G.Hwang Hai-Qiang Mai Yan-Fen Feng Ellen T.Chang Chen-Ping Wang Michael Koon Ming Kam Shie-Lee Cheah Ming Lee Li Gao Hui-Zhong Zhang Jie-Hua He Hao Jiang Pei-Qing Ma Xiao-Dong Zhu Liang Zeng Chun-Yan Chen Gang Chen Ma-Yan Huang Sha Fu Qiong Shao An-Jia Han Hai-Gang Li Chun-Kui Shao Pei-Yu Huang Chao-Nan Qian Tai-Xiang Lu jin-Tian Li Weimin Ye Ingemar Ernberg Ho Keung Ng Joseph T.S.Wee Yi-Xin Zeng Hans-Olov Adami Anthony T.C.Chan Jian-Yong Shao State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Sun Yat-sen University Cancer Center Department of Molecular Diagnostics Sun Yat-sen University Cancer Center Department of Pathology National Taiwan University HospitalNational Taiwan University College of Medicine Department of Anatomical and Cellular Pathology Hong Kong Cancer Institute and Sir YK Pao Centre for CancerFaculty of MedicineThe Chinese University of Hong Kong Department of Pathology Singapore General Hospital Department of Nasopharyngeal Carcinoma Sun Yat-sen University Cancer Center Department of Pathology Sun Yat-sen University Cancer Center Division of Epidemiology Department of Health Research and PolicyStanford University School of Medicine Health Sciences Practice ExponentInc. Department of Otolaryngology National Taiwan University HospitalNational Taiwan University College of Medicine Department of Clinical Oncology Hong Kong Cancer Institute and Sir YK Pao Centre for CancerFaculty of MedicineThe Chinese University of Hong Kong Division of Radiation Oncology National Cancer CenterSingapore Department of Radiation Oncology Cancer Institute and HospitalChinese Academy of Medical Sciences Department of Radiation Oncology The Affiliated Hospital of Bengbu Medical College Department of Pathology Cancer Institute and HospitalChinese Academy of Medical Sciences Department of Radiation Oncology Guangxi Medical University Department of Pathology Hunan Provincial Cancer Hospital Department of Radiation Oncology Sun Yat-sen University Cancer Center Department of Pathology Fujian Provincial Cancer Hospital Department of Pathology The First Affiliated HospitalSun Yat-sen University Department of Pathology Sun Yat-sen Memorial HospitalSun Yat-sen University Department of Pathology The Third Affiliated HospitalSun Yat-sen University Department of Experiment Research Sun Yat-sen University Cancer Center Department of Medical Epidemiology and Biostatistics Karolinska Institutet Departments of Mi

Background:The current World Health Organization(WHO) classification of nasopharyngeal carcinoma(NPC) con?veys little prognostic *** study aimed to propose an NPC histopathologic classification that can poten?tially be used to predict prognosis and treatment ***:We initially developed a histopathologic classification based on the morphologic traits and cell differentia?tion of tumors of 2716 NPC patients who were identified at Sun Yat?sen University Cancer Center(SYSUCC)(training cohort).Then,the proposed classification was applied to 1702 patients(retrospective validation cohort) from hospitals outside SYSUCC and 1613 patients(prospective validation cohort) from *** efficacy of radiochemotherapy and radiotherapy modalities was compared between the proposed *** used Cox proportional hazards models to estimate hazard ratios(HRs) with 95% confidence intervals(CI) for overall survival(OS).Results:The 5?year OS rates for all NPC patients who were diagnosed with epithelial carcinoma(EC;3708 patients),mixed sarcomatoid?epithelial carcinoma(MSEC;1247 patients),sarcomatoid carcinoma(SC;823 patients),and squamous cell carcinoma(SCC;253 patients) were 79.4%,70.5%,59.6%,and 42.6%,respectively(P < 0.001).In mul?tivariate models,patients with MSEC had a shorter OS than patients with EC(HR = 1.44,95% CI = 1.27–1.62),SC(HR = 2.00,95% CI = 1.76–2.28),or SCC(HR = 4.23,95% CI = 3.34–5.38).Radiochemotherapy significantly improved survival compared with radiotherapy alone for patients with EC(HR 49–0.75),and possibly for those with SCC(HR = 0.67,95% CI = 0.56–0.80),MSEC(HR = 0.58,95% CI = 0..74–1.28).= 0.63;95% CI = 0.40–0.98),but not for patients with SC(HR = 0.97,95% CI = 0Conclusions:The proposed classification offers more information for the prediction of NPC prognosis compared with the WHO classification and might be a valuable tool to guide treatment decisions for subtypes that are associ?ated with a poor prognosis.

关键词： Nasopharyngeal carcinoma Pathologic classification Prognosis

A High-Throughput Screening System for Arabidopsis Transcription Factors and Its Application to Med25-Dependent Transcriptional Regulation

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Molecular Plant 2011年第3期4卷 546-555页

作者： Bin Oua Kang-Quan Yin Sai-Nan Liu Yan Yang Tren Gu Jennifer Man Wing Hui Li Zhang jin Miao Youichi Kondou Minami Matsui Hong-Ya Gu Li-Jia Qu National Laboratory for Protein Engineering and Plant Genetic Engineering College of Life Sciences Peking University Beijing 100871 People's Republic ofChina Plant Science Center RIKEN Yokohama Institute 1-7-22 Suehiro-cho Tsurumi-ku Yokohama City Kanagawa 230-0045 Japan The National Plant Gene Research Center (Beijing) Beijing 100101 People's Republic of China

The activities of transcription factors （TFs） require interactions with specific DNA sequences and other reg- ulatory proteins. To detect such interactions in Arabidopsis, we developed a high-throughput screening system with a Gateway-compatible Gal4-AD-TF library of 1589 Arabidopsis TFs, which can be easily screened by mating-based yeast-one-hybrid （yih） and yeast-two-hybrid （Y2H） methods. The efficiency of the system was validated by examining two well-characterized TF-DNA and TF-protein interactions： the CHE-CCA1 promoter interaction by yih and NPR1-TGAs interactions by Y2H. We used this system to identify eight TFs that interact with a Mediator subunit, Med25, a key reg- ulator in JA signaling. We identified five TFs that interacted with the GCC-box cis-element in the promoter of PDF1.2, a downstream gene of Med25. We found that three of these TFs, all from the AP2-EREBP family, interact directly both with Med25 and the GCC-box of PDF1.2, suggesting that Med25 regulates PDF1.2 expression through these three TFs. These results demonstrate that this high-throughput Y1H/Y2H screening system is an efficient tool for studying transcrip- tional regulation networks in Arabidopsis. This system will be available for other Arabidopsis researchers, and thus it provides a vital resource for the Arabidopsis community.

关键词： Transcription factors Arabidopsis yeast-one-hybrid yeast-two-hybrid Med25.

粉状白钨酸研究 Ⅸ.含W-N键的钨同多酸盐[Py2W12O38]-4的合成

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化学学报 1987年第3期45卷 227-231页

作者：金松林洪波顾翼东复旦大学化学系复旦大学化学系上海

继不久前McCarronⅢ自MoO3·2H2O和吡啶制得了[（C5H5N）2MO8O26]4-之后,我们通过粉状白钨酸与吡啶水溶液反应成功地制备了一种无色的晶体（C5H5NH）4[（C5H5N）2W12O38]·6H2O。从反应混合物中还分离到一个黄色的副产物,其组成经分析为... 详细信息

继不久前McCarronⅢ自MoO3·2H2O和吡啶制得了[（C5H5N）2MO8O26]4-之后,我们通过粉状白钨酸与吡啶水溶液反应成功地制备了一种无色的晶体（C5H5NH）4[（C5H5N）2W12O38]·6H2O。从反应混合物中还分离到一个黄色的副产物,其组成经分析为（C5H5N）0.85·WO3。与Johnson用黄钨酸制备的层状化合物（C5H5N）·WO3属同一物相。粉状白钨酸在无水吡啶中放置两周后可得到另一种化学式为（C5H5NH）HW4O13·3H2O的吡啶化合物,经IR和DTA研究可初步说明该化合物与粉状白钨酸（微晶态）之间的联系,并因此推测白钨酸的组成可能为H2W4O13·nH2O。

关键词：白钨酸化合物晶态同多酸 W-N Py2W

酰代吡唑酮作为金属元素萃取剂的研究Ⅴ 1-苯基,3-甲基,4-苯甲酰吡唑酮（5）的钼氧螯合物晶体结构的测定

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分子科学学报 1984年第4期 465-471页

作者：陈民勤宋沅顾翼东金祥林复旦大学化学系北京大学化学系

1-苯基,3-甲基,4-苯甲酰吡唑酮（5）的钼氧螯合物MoO2(C17H13N2O2)2晶体空间群为C2h5—P2■/c,晶胞参数为:a=10.068（4）,b=27.809（6）,c=10.966（5）,β=98.25°（4）,Z=4.初结构经最小二乘修正,最后结果R=0.0705,Rw=0.0573.所... 详细信息

关键词：晶体结构结晶构造固体结构金属元素原子分子螯合物鳌合物键长化学键鳌合剂键角甲基链烷基苯甲酰苯基芳基萃取剂分析试剂

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高体近红鲌的生长与繁殖

水生生物学报 2011年第4期35卷 586-595页

作者：刘飞吴金明王剑伟中国科学院水生生物研究所武汉430072 中国科学院研究生院北京100049

高体近红鲌为长江上游的特有鱼类,以2008年5—11月从赤水河赤水市江段采集的540尾高体近红鲌标本为材料,对其生长与繁殖特性进行了研究和分析。结果表明:高体近红鲌鳞片年轮结构呈疏密切割型,年龄特征显著。种群由1—4龄共4个年龄组组成... 详细信息

高体近红鲌为长江上游的特有鱼类,以2008年5—11月从赤水河赤水市江段采集的540尾高体近红鲌标本为材料,对其生长与繁殖特性进行了研究和分析。结果表明:高体近红鲌鳞片年轮结构呈疏密切割型,年龄特征显著。种群由1—4龄共4个年龄组组成,其中以2龄个体为主。体长分布主要集中在100—160 mm;体重分布主要集中在20.0—50.0 g。总性比为♀∶♂=1.30∶1。体长与鳞径呈直线关系,体长和体重呈幂函数关系且幂指数接近3,基本符合匀速生长类型,体长和体重Von Bertalanffy方程分别为Lt=217.38(1-e-0.2867(t+0.757))和Wt=118.15[1-e-0.2867(t+0.757)]2.8103;生长拐点为2.85龄,拐点对应的体长和体重分别为Lt=140.09 mm,Wt=34.37 g。雌雄初次性成熟年龄均为1龄;繁殖高峰期为6—7月。Ⅳ期雌鱼的绝对繁殖力为950—8655粒,平均值(3087.90±1602.15)粒;体长相对繁殖力FL为10.00—56.20粒/cm,平均值(24.26±10.16)粒/cm;体重相对怀卵量FW为66.08—197.67粒/g,平均值(116.49±32.05)粒/g;卵径频率分布显示高体近红鲌为一次产卵类型。

关键词：高体近红鲌赤水河特有鱼类生长繁殖