简介：电影《马达加斯加》把我们带进一个遥远、陌生、关丽而神秘的国度，一个热带岛国、动植物的天堂——马达加斯加。

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简介：Naturalcomposites,formedthroughbiomineralization,havehighlyorderedstructureswhichhavebeenaptlyexploredforfunctionalapplications.Thoughtheroleoforganicphaseshasbeenwellunderstoodinbiomineralization,notenoughattentionhasbeenpaidtotheroleofbio-membraneswhichareoftenfoundencapsulatingthechamberinwhichmineralizationoccurs.Wehaveusedthenaturalproteinandsemi-permeablemembraneofchickeneggstogrowdifferentmaterialssuchasceramics,semi-metalsandmetalstounderstandtheroleofbio-membranesinbiomineralization.Weherereportthesuccessfulbiomimeticsynthesisofcalcite,cadmiumsulphide,andsilverhavinghomogeneousmorphologies.Wehavefoundthatthemembraneoperateslikeatunedgateway,playingasignificantroleincontrollingthemorphologyoftheinorganiccrystalsformedduringbiomineralization.

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简介：地热的精力潜力通常在常规或设计的系统并且在一座单个水库的规模的上下文被讨论。而为常规水库的探索是相对容易的，与发现靠近到或甚至在表面的资源的表达式，为非常规的系统的探索依靠内在地与深度增加并且寻找最大化这增加的赞成地质的环境的温度。到utilitise我们确实有的信息，我们经常与捕获主导的位于可得到的探索数据下面过程的物理的模型一起吸收。这里，我们讨论计算建模途径到探索在一地区性或外壳规模，用到在盆的盆或系统以内的地热的水库的申请。目标水库有(至少)适当温度，渗透并且在可存取的深度。我们讨论导致工具地球的有效使用的软件开发途径。我们在建模的过程探索它的角色，理解计算错误，importingandexporting适用于地质的系统underpinning的地质的知识广东省，中国。

简介：Explorationforburiedgoldoresandotherdee-plyburiedores,especiallyinhighaltitudelocalities,isoneofthetoughchallengesfacingthegeologicalworldtoday.Fastandefficientoreprospectingmethodsarebadlynee-dedtodealwiththesituation.Thispaperdocumentsatestthat,forthefirsttime,usesanelectrogeochemicalapproachtoprospectoresinthealpinemeadow-coveredBangz-huomaareaanditsperipheryinQinghai-TibetPlateau.Theresultswerecomparedwithconventionalsoilmea-surementsfroma2Dprospection,andanidealmodelofelectrogeochemicalanomalyformationintheareawasestablishedbasedonthecomparisoninordertoprovidetheoreticalguidancetoburiedoreprospectinginareaswithsimilarconditions.Theresearchshowsthat：（1）Forexplorationofdeeply-buriedmineraldeposits,anelectro-geochemicalapproachisbetterthansoilmeasurementsintermsofcorrespondencebetweenelementcontentvaluesandanomalyformsandspatialdistributionofknowndepositsinsections.Anomaliesofhightolowtemperatureelementassociations（Bi-Mo;Au-Ag-As-BiandAu-Ag）andclearzonationwerealsoobservedalongverticalveinrunsinthesections.Basedonintegrationoftheobservationwithgeologicalcharacteristicsofthesections,weproposetouseAu,AgandAsastheelectrogeochemicalindicatorsandBiandMoastheelectrogeochemicaltracingelementstoguidefurtheranalysis.（2）Judgingfromelementstatis-ticsandthescale,intensity,andrangeofanomaliesinplanmaps,wefoundthatanelectrogeochemicalapproachislessaffectedbytopographyandsecondaryactions.TheplanmapsalsoshowthatelementaldifferentiationcoefficientsofthestudyareaareinanascendingorderofAg（0.67）〈Mo（0.85）〈Bi（0.97）〈Au（1.51）〈As（2.35）,betterrepresentingtheelementdistributionintheareaandyieldingmorestrikingandconcentratedanomaliesforknowndepositsthanthatofthesoilmeasurements.Apartfromthat,electrogeochemicalanomalieswereob

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简介：TheResearchReportonYoungGirlProtectionjointlyissuedbyChinaChildrenandTeenagers’FundandBeijingNormalUniversityinBeijingonSeptember13,2013statesthatthedirectcauseforharmsdonetoyounggirlsisthelackofbasicsupervision.Ms.ChenXiaoxia,Secretary-GeneralofChinaChildrenandTeenagers’Fundsaidduringtheintroductionofthe

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简介：摘要： 在选择合适的综合水质评价方法时，需要考虑河流水质的具体特征和监测数据的可靠性。不同方法各有优缺点，结合实际情况和目标需求进行选择和比较是必要的。通过比较分析不同方法在评价结果、适用性、操作性等方面的差异，可以更加理解各种方法的特点和适用范围，并选择最合适的方法进行水质评价。

简介：AbstractBackground:Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on deep learning (DL) algorithms, validate the effectiveness of the model, and explore the potential value of DL algorithms in assessing FLM.Methods:A total of 7013 ultrasound images obtained from 1023 normal pregnancies between 20 and 41 + 6 weeks were analyzed in this study. There were no pregnancy-related complications that affected fetal lung development, and all infants were born without neonatal respiratory diseases. The images were divided into three classes based on the gestational week: class I: 20 to 29 + 6 weeks, class II: 30 to 36 + 6 weeks, and class III: 37 to 41 + 6 weeks. There were 3323, 2142, and 1548 images in each class, respectively. First, we performed a pre-processing algorithm to remove irrelevant information from each image. Then, a convolutional neural network was designed to identify different categories of fetal lung ultrasound images. Finally, we used ten-fold cross-validation to validate the performance of our model. This new machine learning algorithm automatically extracted and classified lung ultrasound image information related to GA. This was used to establish a grading model. The performance of the grading model was assessed using accuracy, sensitivity, specificity, and receiver operating characteristic curves.Results:A normal fetal lung GA grading model was established and validated. The sensitivity of each class in the independent test set was 91.7%, 69.8%, and 86.4%, respectively. The specificity of each class in the independent test set was 76.8%, 90.0%, and 83.1%, respectively. The total accuracy was 83.8%. The area under the curve (AUC) of each class was 0.982, 0.907, and 0.960, respectively. The micro-average AUC was 0.957, and the macro-average AUC was 0.949.Conclusions:The normal fetal lung GA grading model could accurately identify ultrasound images of the fetal lung at different GAs, which can be used to identify cases of abnormal lung development due to gestational diseases and evaluate lung maturity after antenatal corticosteroid therapy. The results indicate that DL algorithms can be used as a non-invasive method to predict FLM.

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简介：摘要：由于信息时代发展，多样化新型的教育方法，如雨后春笋般不断涌现。当前家园共育方式已变成学前及教育界一致认可的主要模式。在"互联网+"的大背景下，将根据家园共育方式的现状，对家园共育的发展路径进行探究，以此更好的做好家园共育工作，促进幼儿的身心健康发展。