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Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions

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Infectious Diseases of Poverty 2022年第3期11卷 37-53页

作者： monica Golumbeanu Guo-Jing Yang Flavia Camponovo Erin m.Stuckey Nicholas Hamon mathias mondy Sarah Rees Nakul Chitnis Ewan cameron melissa A.Penny Swiss Tropical and Public Health Institute AllschwilSwitzerland Key Laboratory of Tropical Translational medicine of ministry of Education and School of Tropical medicine and Laboratory medicine The First and Second Affiliated Hospital of Hainan Medical UniversityHainan Medical UniversityHaikouHainanPeople’s Republic of China University of Basel BaselSwitzerland Center for Communicable Disease Dynamics Department of EpidemiologyHarvard T.H.Chan School of Public HealthBostonMA02115USA The Bill&melinda Gates Foundation SeattleWAUSA Innovative Vector Control Consortium LiverpoolUK malaria Atlas Project Big Data InstituteUniversity of OxfordOxfordUK Curtin University PerthAustralia Telethon Kids Institute Perth Children’s HospitalPerthAustralia

Background:Substantial research is underway to develop next-generation interventions that address current malaria control *** there is limited testing in their early development,it is difficult to predefine intervention properties such as efficacy that achieve target health goals,and therefore challenging to prioritize selection of novel candidate ***,we present a quantitative approach to guide intervention development using mathematical models of malaria dynamics coupled with machine *** analysis identifies requirements of efficacy,coverage,and duration of effect for five novel malaria interventions to achieve targeted reductions in malaria ***:A mathematical model of malaria transmission dynamics is used to simulate deployment and predict potential impact of new malaria interventions by considering operational,health-system,population,and disease *** method relies on consultation with product development stakeholders to define the putative space of novel intervention *** couple the disease model with machine learning to search this multi-dimensional space and efficiently identify optimal intervention properties that achieve specified health ***:We apply our approach to five malaria interventions under *** for malaria prevalence reduction,we identify and quantify key determinants of intervention impact along with their minimal properties required to achieve the desired health *** coverage is generally identified as the largest driver of impact,higher efficacy,longer protection duration or multiple deployments per year are needed to increase prevalence *** show that interventions on multiple parasite or vector targets,as well as combinations the new interventions with drug treatment,lead to significant burden reductions and lower efficacy or duration ***:Our approach uses disease dynamic models and machine learning to support

关键词： Infectious diseases malaria Novel interventions mathematical modelling machine learning

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Induction of Bone matrix Protein Expression by Native Bone matrix Proteins in C2C12 Culture

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Biomedical and Environmental Sciences 2009年第2期22卷 164-169页

作者： ZHEN-mING HU SEAN A. F. PEEL STEPHEN K. C. HO GEORGE K. B. SANDOR AND cameron m. L. CLOKIE Department of Orthopedic Surgery the First Affiliated Hospital Chongqing Medical University Chongqing 400016 China Orthobiologics Laboratory Discipline of Oral and Maxillofacial Surgery Faculty of Dentistry University of Toronto Toronto ON M5G 1G6 Canada

Objective To study the expression of bone matrix protein （BmP） induced by bovine bone morphogenetic proteins （BmPs） in vitro. methods Type 1 collagen, osteopontin （OPN）, osteonectin （ON）, osteocalcin （OC）, and bone sialoprotein （BSP） were detected by immunohistochemistry in C2C12 cultured from day 1 to day 28. Results The signaling of bone matrix protein expression became weaker except for type I collagen, OC and BSP after 5 days. Fourteen days after culture, the positive signaling of type I collagen, OPN, ON, OC, and BSP was gradually declined, and could be detected significantly as compared with that of the negative control on day 28. BmP assay showed that the lkaline phosphatase （ALP） activity was higher in C2C12 culture than in the control during the 14-day culture. Also, total protein and DNA significantly increased during the 14-day culture. High levels of ALP were seen in preosteoblasts and osteoblsts in vivo and in differentiating osteoblasts in vitro. ALP was well recognized as a marker reflecting osteoblastic activity. Conclusion Native bovine BmP induces conversion of myoblasts into osteoblasts, produces type I collagen, and plays significantly role in osteoinduction and bone matrix mineralization of C2C 12 in vitro.

关键词： Bone matrix proteins Bone morphogenetic proteins Immunohistochemistry C2C12

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A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning

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npj Computational materials 2023年第1期9卷 2265-2278页

作者： cameron J.Hargreaves michael W.Gaultois Luke m.Daniels Emma J.Watts Vitaliy A.Kurlin michael moran Yun Dang Rhun morris Alexandra morscher Kate Thompson matthew A.Wright Beluvalli-Eshwarappa Prasad Frédéric Blanc Chris m.Collins Catriona A.Crawford Benjamin B.Duff Jae Evans Jacinthe Gamon Guopeng Han Bernhard T.Leube Hongjun Niu Arnaud J.Perez Aris Robinson Oliver Rogan Paul m.Sharp Elvis Shoko manel Sonni William J.Thomas Andrij Vasylenko Lu Wang matthew J.Rosseinsky matthew S.Dyer Department of Chemistry University of LiverpoolLiverpool L697ZDUK Leverhulme Research Centre for Functional materials Design Materials Innovation FactoryUniversity of LiverpoolLiverpool L73NYUK Department of Computer Science University of LiverpoolLiverpool L693BXUK Stephenson Institute for Renewable Energy University of LiverpoolLiverpool L697ZFUK

The application of machine learning models to predict material properties is determined by the availability of high-quality *** present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivities measured by *** *** dataset has 820 entries collected from 214 sources;entries contain a chemical composition,an expert-assigned structural label,and ionic conductivity at a specific temperature(from 5 to 873°C).There are 403 unique chemical compositions with an associated ionic conductivity near room temperature(15–35°C).The materials contained in this dataset are placed in the context of compounds reported in the Inorganic Crystal Structure Database with unsupervised machine learning and the Element movers *** dataset is used to train a CrabNet-based classifier to estimate whether a chemical composition has high or low ionic *** classifier is a practical tool to aid experimentalists in prioritizing candidates for further investigation as lithium ion conductors.

关键词： spectroscopy lithium classifier

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Approaches for Delineating Landslide Hazard Areas Using Different Training Sites in an Advanced Artificial Neural Network model

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Geo-Spatial Information Science 2010年第2期13卷 93-102页

作者： Biswajeet Pradhan Ahmed m. Youssef Renuganth Varathrajoo Institute of Cartography Faculty of Forestry Hydro and Geosciences Dresden University of Technology Faculty of Engineering University Putra Malaysia Saudi Geological Survey Applied Geology Section Department of Geological Hazards and Engineering

The current paper presents landslide hazard analysis around the cameron area, malaysia, using advanced artificial neural networks with the help of Geographic Information System (GIS) and remote sensing techniques. Landslide locations were determined in the study area by interpretation of aerial photographs and from field investigations. Topographical and geological data as well as satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Ten factors were selected for landslide hazard including: 1) factors related to topography as slope, aspect, and curvature; 2) factors related to geology as lithology and distance from lineament; 3) factors related to drainage as distance from drainage; and 4) factors extracted from Tm satellite images as land cover and the vegetation index value. An advanced artificial neural network model has been used to analyze these factors in order to establish the landslide hazard map. The back-propagation training method has been used for the selection of the five different random training sites in order to calculate the factor's weight and then the landslide hazard indices were computed for each of the five hazard maps. Finally, the landslide hazard maps (five cases) were prepared using GIS tools. Results of the landslides hazard maps have been verified using landslide test locations that were not used during the training phase of the neural network. Our findings of verification results show an accuracy of 69%, 75%, 70%, 83% and 86% for training sites 1, 2, 3, 4 and 5 respectively. GIS data was used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool for landslide hazard analysis. The verification results showed sufficient agreement between the presumptive hazard map and the existing data on landslide areas.

关键词： artificial neural network landslide hazard GIS malaysia

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High affinity soluble ILT2 receptor:a potent inhibitor of CD8^(+)T cell activation

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Protein & Cell 2010年第12期1卷 1118-1127页

作者： Ruth K.moysey Yi Li Samantha J.Paston Emma E.Baston malkit S.Sami Brian J.cameron Jessie Gavarret Penio Todorov Annelise Vuidepot Steven m.Dunn Nicholas J.Pumphrey Katherine J.Adams Fang Yuan Rebecca E.Dennis Deborah H.Sutton Andy D.Johnson Joanna E.Brewer Rebecca Ashfield Nikolai m.Lissin Bent K.Jakobsen Immunocore Limited 57c Milton ParkAbingdonOxonOX144RXUK Current address:Oxford Nanopore Technologies UK Current address:Geneva merck Serono S.A. Switzerland Current address:Adaptimmune Limited UK

Using directed mutagenesis and phage display on a soluble fragment of the human immunoglobulin superfamily receptor ILT2(synonyms:LIR1,mIR7,CD85j),we have selected a range of mutants with binding affinities enhanced by up to 168,000-fold towards the conserved region of major histocompatibility complex(mHC)class I *** in a dimeric form,either by chemical cross-linking with bivalent polyethylene glycol(PEG)derivatives or as a genetic fusion with human IgG Fc-fragment,the mutants exhibited a further increase in ligand-binding strength due to the avidity effect,with resident half-times(t1/2)on the surface of mHC I-positive cells of many *** novel compounds antagonized the interaction of CD8 co-receptor with mHC I in vitro without affecting the peptide-specific binding of T-cell receptors(TCRs).In both cytokine-release assays and cell-killing experiments the engineered receptors inhibited the activation of CD8^(+)cytotoxic T lymphocytes(CTLs)in the presence of their target cells,with subnanomolar potency and in a dose-dependent *** a selective inhibitor of CD8^(+)CTL responses,the engineered high affinity ILT2 receptor presents a new tool for studying the activation mechanism of different subsets of CTLs and could have potential for the development of novel autoimmunity therapies.

关键词： CD8^(+)T cells cellular activation autoimmunity cell surface molecules binding affinity phage display

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老年人与交通事故的调查分析(英文)

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中华急诊医学杂志 2006年第1期15卷 6-12页

作者： HENG Kenneth PAN Shuming LAYDE m Peter ZHU Shankuan Injury Research Center Medical College of Wisconsin Milwaukee WIUSA Emergency Department of Xinhua Hospital Shanghai Jiao TongUniversity School of Medicine

目的中国目前正在经历老年人口与交通车辆的同时快速增长。随着人口的老龄化加剧以及社会的发展,老年驾驶者人数将预期明显增加。国际上对老年人交通安全的经验可能对中国即将增加的老年驾驶者有借鉴作用。方法检索并分析了中国以及一... 详细信息

目的中国目前正在经历老年人口与交通车辆的同时快速增长。随着人口的老龄化加剧以及社会的发展,老年驾驶者人数将预期明显增加。国际上对老年人交通安全的经验可能对中国即将增加的老年驾驶者有借鉴作用。方法检索并分析了中国以及一些发达国家,如美国等有关老年驾驶者以及交通事故安全的论文及论著。结果尽管老年人较少开车且普遍地使用安全带,但他们交通事故发生数以及死亡率较其他年龄组高。老年人视觉以及感知功能的损害也增加了发生交通事故的危险性,同时也产生了其独特的事故形式。与年轻人相比,在相同的受伤程度下,老年人体格上的衰退和疾病因素可能对会产生更坏的结果。虽然老年驾驶者在中国还是少数,与其他年龄组相比,老年人有较高的交通事故伤害率、步行者死亡率和较高的农村老年人受害率。结论国际上对老年人交通安全的经验,比如更好的道路安全设计,高可视安全标识和安全带法律的实施,安全带使用的公共教育,以及老年驾驶证的更新等对中国的交通安全设计者以及法律的制定者可能会有帮助。这些经验对损伤预防研究者在老年人交通事故危险因素的识别方面,以及对工程师在驾驶环境和车辆设计等方面也有着重要的意义。

关键词：交通事故伤害老年人口交通安全安全设计农村老年人安全带发达国家感知功能疾病因素公共教育

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元古代铁建造的成因——硫同位素证据

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地球与环境 1985年第11期 18-21页

作者： E.m.cameron ,王克非湖南地质科学研究所

关于前寒武纪大型条带状铁建造的成因问题已争论了一个多世纪。尤为使人感兴趣的是铁和二氧化硅的来源,对此有两种基本意见,一是火山成因,一是认为来自地表风化。争论最热烈的是关于早元古代铁建造的成因,

关键词：早元古代生物成因硫酸盐高温还原同位素分布海水同位素组成有机成因硫化合物硫化物硫同位素

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菝葜科东亚北美间断分布的Smilax hispida复合类群的进化历史(英文)

菝葜科东亚北美间断分布的Smilax hispida复合类群的进化历史(英...

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后植物志时代的系统与进化植物学——2011年全国系统与进化植物学暨第十届青年学术研讨会

作者： Kenneth m.cameron Jenny Department of Plant Biology North Carolina State UniversityRaleighNC 27695U.S.A Department of Botany University of WisconsinMadisonWI 53706U.S.A

Disjunction is an important biogeographic pattern which used to be addressed using phylogenetic and historical biogeographic ***,there are extremely rare larger-scale, particularly inter-continental,phylogeographic investigations on closely related *** diversification and evolution of the disjunct taxa after divergence have also scarcely been ***, we applied phylogenetic and phylogeographic analyses to understand the evolutionary history of a morphologically static group,Smilax hispida complex(including ***(华东菝葜) and S. scobinicaulis(短梗菝葜) in east Asia;*** in northwest America;*** in northeast America;*** and *** in central America),with a broad eastern Asian and North-Central American *** phylogeographic analyses,we sequenced two cpDNA fragments(trnL-trnF and ycf6-trnC spacers) and also nuclear(ITS) region in 539 individuals from 64 populations of sampled throughout the six species’ *** present suite of molecular data strongly supports the monophyly of S. hispida complex and the first divergence between the intercontinental lineages as well as delineation of each of the six *** species complex most possibly originated in western North America and then dispersed into eastern Asia via the Bering land *** intracontinental divergence closely followed the intercontinental disjunction at 8 *** in Central America is the first diverged species in the American clade prior to *** in western North America at 5.1 *** divergence between S. hispida in eastern North America and *** in northern mexico was estimated at 2.8 *** origin of temperate plants in Central America is more complex than what we have known *** earliest and latest diverged species in American clade,*** and ***,independently migrated into Central America in different times even up to 8.2 *** did occur between them during t

关键词： Northern Hemisphere disjunction intercontinental phylogeography eastern Asia North America Latin America Smilax hispida complex

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墨西哥奇瓦瓦州西部钙碱性火山岩和深成岩演化的对比研究

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国外火山地质 1987年第3期 97-108页

作者： W.C.Bagby K.L.cameron m.cameron 毛建仁

墨西哥西北部谢拉西马德雷山脉（Sierra madre Occidental）的巴托皮拉斯地区（Batopilas）有两套大陆弧岩浆岩。时代较老的有晚白垩纪至早新生代的花岗岩类,年轻的是中第三纪安山岩至流纹岩系列,大部分以大规模出露的火山碎屑流堆积为... 详细信息

墨西哥西北部谢拉西马德雷山脉（Sierra madre Occidental）的巴托皮拉斯地区（Batopilas）有两套大陆弧岩浆岩。时代较老的有晚白垩纪至早新生代的花岗岩类,年轻的是中第三纪安山岩至流纹岩系列,大部分以大规模出露的火山碎屑流堆积为代表。火山岩类岩石的SiO2含量从54%变化至78%,花岗岩类岩石的SiO2含量则限于57—68%。两套岩石的主要元素通常极相似,然而,较老的花岗岩类与火山岩相比具低的Zr/Nb值和高的Nb/Y和K/Rb值。此外,花岗

关键词：深成岩拉斯黑云母侵入岩石英闪长岩稀土元素 ⅢB族元素火山岩区花岗闪长岩酸性岩玄武质岩浆稀土配分角闪石链状硅酸盐矿物岩浆岩火成岩地壳源区分离结晶作用初始比值墨西哥拉丁美洲

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太古代金矿化和氧化热液流体

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地球与环境 1988年第9期 42-54页

作者： E.m.cameron ,K.Hattori ,杨秋剑

在太古代岩石中,硫酸盐矿物、赤铁矿和同位素已分馏的硫化物相对很少见。然而,几个太古代金矿床却含有作为氧化热液流体指示剂的这些特征矿物的一种或多种。这些太古代金矿床包括赫姆洛、麦金太尔-霍灵格、马卡萨、莱克肖尔和罗斯等金矿... 详细信息

在太古代岩石中,硫酸盐矿物、赤铁矿和同位素已分馏的硫化物相对很少见。然而,几个太古代金矿床却含有作为氧化热液流体指示剂的这些特征矿物的一种或多种。这些太古代金矿床包括赫姆洛、麦金太尔-霍灵格、马卡萨、莱克肖尔和罗斯等金矿床,它们都位于加拿大安大略省和澳大利亚卡尔古利。较小的金矿床例子位于加拿大安大略省希斯洛普区和马塔奇文地区。除了赫姆洛金矿床之外,其余这些金矿床都是在空间上和时间上与长英质深成作用有关的石英-碳酸盐脉型矿床。因为变质流体和太古代地表水基本上是还原的,所以流体的最可能的总来源是长英质岩浆。母岩浆都是相对氧化的、含水的和富CO2的。这种氧化特征可能有利于Au加入到部分熔融的熔体中去,从而有利于把Au分配到岩浆水流体中。CO2含量高有助于水流体与来自深度比其他地方还深的岩浆分离开来。流体包体数据支持主要的太古代脉型Au矿床是在深度比大多数现代岩浆-热液矿化（如斑岩铜矿床）大的壳层形成的。在较高的温压条件下,富CO2流体不能分离成两个相:盐水流体相和低盐度H2O—CO2流体相。这可使Cl配合的贱金属与包括Au、Sb和As在内的其他金属分离开。在大多数金矿床周围发生的广泛的碳酸盐化具有在原生岩浆CO2能及的范围内一致的δ13C值。

关键词：太古代金矿床硫化物硫化合物太古宙地质年代太古代硫酸盐矿物热液流体金矿化

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