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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

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DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」 「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registrationdoi.airiti.com ) 。

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Times Cited : (2)

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What is "Preprint"?

In order to provide readers the forefront academic information, after articles are accepted to publish in the journal, we publish them in network before they're printed. Those "on-line first articles" are called the "preprint articles". The preprint articles do not have volume No., page No., publication date, but can be identified by the DOI number. 「 http://dx.doi.org/ 」 Link to the latest version of the article.

How to cite Preprint Articles?

Please use the online publication date and the DOI number of the preprint article to cite the literature.

Cited example (may vary with different formats you cited):

Author name. Article name. Journal name. YYYY/MM/DD online publish in advance.

doi:DOI Number

Publisher

National Taiwan University

Taiwan

國立臺灣大學 Publishing 』

台大_NTU
2016年
Total4Pages
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1

具多內部源二維多物種溶質傳輸解析解模式發展及現地應用

許時凱

內部源邊界源污染傳輸二維多物種解析解現地應用Inner SourceBoundary SourceContaminant TransportTwo-dimensional Multi-speciesAnalytical SolutionField Application

10.6342/NTU201602499 DOI

Abstract | Reference(39) Download Download PDF Add to Cart Add to Cart Track Track

2

時間與空間最佳化資訊於降雨逕流模式分析之研究

蔡孟蓉

類神經網路雨量預報模式流量預報模式資料融合2階段Gamma test可靠度分析Artificial Neural Networksrainfall forecasting modelinflow forecasting modeldata merging2-staged Gamma testrealiability analysis

Abstract | Reference(61) | Times Cited(1) Download Download PDF Add to Cart Add to Cart Track Track

3

自組特徵映射網路結合非線性自回歸模式預測屏東平原地下水位

黃健維

主成分分析自組特徵映射網路外變數非線性自迴歸模式區域地下水水位預測模式Principle component analysis (PCA)Self-Organizing Map (SOM)Nonlinear Autoregressive with Exogenous Inputs (NARX)Regional groundwater level forecast model.

10.6342/NTU201601833 DOI

Abstract | Reference(32) | Times Cited(1) Download Download PDF Add to Cart Add to Cart Track Track

4

以類神經網路建立環境因子與魚類群聚之間的關係

余慈鈞

生態水文魚種組成魚種相似度Gamma檢定類神經網路Eco-hydrologyFish species compositionFish Species SimilarityGamma Test (GT)Artificial Neural Network (ANN)

10.6342/NTU201601832 DOI

Abstract | Reference(36) Download Download PDF Add to Cart Add to Cart Track Track

5

以秀麗隱桿線蟲為模式生物探討小果種苦茶油在生物體內的延緩老化功效

劉俊毅

秀麗隱桿線蟲小果種苦茶油生物體內抗氧化老化油酸DAF-16SKN-1Caenorhabditis elegansC. tenuifolia seed oilin vivo antioxidant activityagingoleic acidDAF-16SKN-1

10.6342/NTU201602026 DOI

Article delay authorization/print view service Full-Text will be available on 2026/08/05

Abstract | Reference(116) | Times Cited(1) Search in Library Search in Library Track Track

6

應用禁忌演算法於都市淹水預警機制之建置

廖晧宇

淹水門檻值淹水災害事件統計指標禁忌演算法雨場分割徐昇式法頻率分析rainfall thresholdflood disaster eventsstatistical indextabu searchinter-event time definitionThiessen methodfrequency analysis

10.6342/NTU201601908 DOI

Abstract | Reference(43) Download Download PDF Add to Cart Add to Cart Track Track

7

長期暴露環境相關濃度的三泰隆透過DAF-16加速秀麗隱桿線蟲的老化過程

侯俊銘

Triadimenol秀麗隱桿線蟲環境相關濃度長期暴露老化DAF-16氧化壓力TriadimenolCaenorhabditis elegansenvironmentally relevant concentrationprolonged exposureagingDAF-16oxidative stress

10.6342/NTU201601898 DOI

Abstract | Reference(138) Download Download PDF Add to Cart Add to Cart Track Track

8

氣候變遷對農業之影響─來自台灣的實證研究

湯黎明

氣候變遷農業稻米產量無法觀察效果縱橫資料模型工具變數climate changeagriculturerice yieldsunobserved effects panel data modelsinstrumental variables

10.6342/NTU201602201 DOI

Article delay authorization/print view service Full-Text will be available on 2022/02/17

Abstract | Reference(39) Search in Library Search in Library Track Track

9

考量保育優先順序及重金屬汙染不確定性分析之汙染整治區域劃設-以八種平地保育鳥為例

林韋志

整治優先順序重金屬污染生物保育穩健決策分析不確定性地理統計remediation prioritymultiple heavy metalspollutionbiological conservationrobust decisiongeostatistics

10.6342/NTU201600225 DOI

Abstract | Reference(190) Search in Library Search in Library Unauthorized Unauthorized Track Track

10

以產業觀點建構區域供水系統之氣候調適能力

黃旭杰

氣候變遷風險評估調適步驟季長期氣候預報乾旱預警系統Climate changeRisk AssessmentAdaptation StrategiesSeasonal Climate ForecastsDrought Early Warning System

10.6342/NTU201603438 DOI

Abstract | Reference(53) | Times Cited(2) Download Download PDF Add to Cart Add to Cart Track Track

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