Vector的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Encyclopedia of Malaria

為了解決Vector的問題，作者Hommel, Marcel (EDT)/ Kremsner, Peter G. (EDT) 這樣論述：

The Encyclopedia of Malaria represents a vast databank of information about the study of malaria. It provides an overview of the historical, rapid and significant developments that have occurred in malaria research, including the 2002 genome sequencing of Plasmodium falciparum and its mosquito vecto

r, Anopheles gambiae. This work provides a concise source of up-to-date research findings in the form of definitions and essays and present comprehensive coverage of topics from history to findings to diagnosis and treatment, written by recognized malaria researchers with practical experience. It ap

peals to a diverse audience, including malaria researchers, teachers, investigators and public health professionals. After a medical degree in France and a PhD from the University of Liverpool, Marcel Hommel worked in various research institutes, including the National Institute for Medical Resear

ch, the Institut Pasteur and Harvard Medical School. In 1986, he was appointed Professor of Tropical Medicine in Liverpool.His research interests are mainly in the field of malaria immunology and pathophysiology, and he first described antigenic variation in Plasmodium falciparum and the importance

of parasite diversity in the development of immunity. Also interested in the development of immunodiagnostic tests, particularly those applicable in a tropical environment, currently working on a test of cure for visceral leishmaniasis. Over the years, he has supervised 37 research students, taught

and examined on many different courses worldwide.He has been on the editorial board of a number of journals and, for the past 10 years, has been Editor-in-Chief of Malaria Journal.

Vector進入發燒排行的影片

低腔壓高濃度過氧化氫混合式火箭引擎之研究

為了解決Vector的問題，作者林育宏 這樣論述：

本論文為混合式火箭系統入軌段火箭引擎的前期研究，除了高引擎效率的要求外，更需要精準的推力控制與降低入軌段火箭的結構重量比，以增加入軌精度與酬載能力。混合式火箭引擎具相對安全、綠色環保、可推力控制、管路簡單、低成本等優點，並且可以輕易地達到引擎深度節流推力控制，對於僅能單次使用、需要精準進入軌道的入軌段火箭推進系統有相當大的應用潛力。其最大的優點是燃料在常溫下為固態、易保存且安全，即使燃燒室或儲存槽受損，固態的燃料也不會因此產生劇烈的燃燒而導致爆炸。雖然混合式推進系統有不少優於固態及液態推進系統的特性，相較事先預混燃料與氧化劑的固態推進系統及可精準控制氧燃比而達到高度燃燒效率的液態推進系統，混

合式推進系統有擴散焰邊界層燃燒特性，此因素導致混合式推進系統的燃料燃燒速率普遍偏低，使得設計大推力引擎設計時需要長度較長的燃燒室來提供足夠的燃料燃燒表面積，也導致得更高長徑比的火箭設計。針對此問題，本論文利用渦漩注入氧化劑的方式，增加了氧化劑在引擎內部的滯留時間，並藉由渦旋流場提升氧化劑與燃料的混合效率以及燃料耗蝕率；同時降低引擎燃燒室工作壓力以研究其推進效能，並與較高工作壓力進行比較。本論文使用氮氣加壓供流系統驅動90%高濃度過氧化氫 (high-test peroxide) 進入觸媒床，並使用三氧化二鋁 (Al2O3) 為載體的三氧化二錳 (Mn2O3) 觸媒進行催化分解，隨後以渦漩注入的

方式注入燃燒腔，並與燃料聚丙烯（polypropylene, PP）進行燃燒，最後經由石墨鐘形噴嘴 (bell-shaped nozzle) 噴出燃燒腔後產生推力。實驗部分首先透過深度節流測試先針對原版腔壓40 barA引擎在低腔壓下的氧燃比 (O/F ratio)、特徵速度 (C*)、比衝值 (Isp) 等引擎性能進行研究，提供後續設計20 barA低腔壓引擎的依據，並整理出觸媒床等壓損以及燃燒室等流速的引擎設計轉換模型；同時使用CFD模擬驗證渦漩注射器於氧化劑全流量下 (425 g/s) 的壓損與等壓損轉換模型預測的數值接近 (~1.3 bar)。由腔壓20 barA 引擎的8秒hot-f

ire實驗結果顯示，由於推力係數 (CF) 在低腔壓引擎的理論值 (~1.4) 相較於腔壓40 barA引擎的推力係數理論值 (~1.5) 較低，因此腔壓20 barA引擎的海平面Isp相較於腔壓40 barA引擎的Isp 低了約13 s，但是兩組引擎具有相近的Isp效率 (~94%)，且長時間的24秒hot-fire測試顯示Isp效率會因長時間燃燒而提升至97%。此外，氧化劑流量皆線性正比於推力與腔壓，判定係數 (R2) 也高於99%，實現混合式火箭引擎推力控制的優異性能。透過燃料耗蝕率與氧通量之關係式可知，低腔壓引擎在相同氧化劑通量下 (100 kg/m2s) 較腔壓40 barA引擎降低

了約15%的燃料耗蝕率，因此引擎的燃料耗蝕率會受到腔體壓力轉換的影響而變動，本論文也針對此現象歸納出一校正方法以預測不同腔壓下的燃料耗蝕率，此校正後的關係式可提供未來不同腔壓引擎燃料長度設計上的準則。最後將雙氧水貯存瓶的上游氮氣加壓壓力從約58 barA降低至38 barA並進行8秒hot-fire測試，結果顯示仍能得到與過往測試相當接近的Isp效率 (~94%)，而此特性除了能讓雙氧水及氮氣貯存瓶擁有輕量化設計的可能性，搭配具流量控制的控制閥也有利於未來箭體朝向blowdown type型式的設計，因此雙氧水加壓桶槽上的氮氣調壓閥 (N2 pressure regulator valve)

將可省去，得以降低供流系統的重量，並增加箭體的酬載能力，對於未來箭體輕量化將是一大優勢。

Compressible Flow with Applications to Engines, Shocks and Nozzles

為了解決Vector的問題，作者Braga Da Costa Campos, Luis Manuel,Raio Vilela, Luís António 這樣論述：

Compressible Flow with Application to Shocks and Propulsion is part of the series Mathematics and Physics for Science and Technology, which combines rigorous mathematics with general physical principles to model practical engineering systems with a detailed derivation and interpretation of result

s. Volume V presents the mathematical theory of partial differential equations and methods of solution satisfying initial and boundary conditions, and includes applications to: acoustic, elastic, water, electromagnetic and other waves; the diffusion of heat, mass and electricity; and their interacti

ons. This is the second book of the volume. The first book of volume V starts with the classification of partial differential equations and proceeds with similarity methods that apply in general to linear equations with constant coefficients and all derivatives of the same order, such as the Laplace

and Biharmonic equations, without and with forcing. The similarity solutions are also applied to Burger’s non-linear diffusion equation. First-order linear and quasi-linear partial differential equations with variable coefficients are considered, with application to the representation of conservati

ve/non-conservative, solenoidal/rotational and Beltrami/helical vector fields by one, two or three scalar and/or one vector potential in relation with exact, inexact and non-integrable differentials. The latter appear in the first and second principles of thermodynamics that specify the constitutive

and diffusive properties of matter as concerns thermal, mechanical, elastic, flow, electrical, magnetic and chemical phenomena and their interactions. The book is intended for graduate students and engineers working with mathematical models and can be applied to problems in mechanical, aerospace, e

lectrical and other branches of engineering dealing with advanced technology, and also in the physical sciences and applied mathematics.This book: Simultaneously covers rigorous mathematics, general physical principles and engineering applications with practical interestProvides interpretation of re

sults with the help of illustrationsIncludes detailed proofs of all resultsL.M.B.C. Campos was chair professor and the Coordinator of the Scientific Area of Applied and Aerospace Mechanics in the Department of Mechanical Engineering and also the director (and founder) of the Center for Aeronautical

and Space Science and Technology until retirement in 2020.L.A.R. Vilela is currently completing an Integrated Master’s degree in Aerospace Engineering at Institute Superior Tecnico (1ST) of Lisbon University.

基於深度學習進行電池性質預測

為了解決Vector的問題，作者許家維 這樣論述：

鋰離子電池作為常見的儲能設備，廣泛應用於終端設備上且藉由電池管理系統進行監控確保電池老化程度仍可應付工作所需。然而電池在使用初期並無明顯老化特性的反應，因此對於使用過的電池無法很好評估預期壽命以至於材料的浪費或設備的異常(Early failure)。本研究利用時序資料連續性進行資料擴增更同時對神經網路潛空間進行正則化，並透過包含篩選器與預測器的神經網路架構在僅有少量循環的量測數據下，預測電池產品壽命、剩餘使用壽命、充電所需時間、放電時的電壓電量變化曲線等。其中，僅測量一個充放電完整循環的數據，就能提供僅有57週期方均根誤差的產品壽命預測。本研究亦同時引入注意力機制於此框架中達成僅使用若干個

循環的測量資料便可預測整個電池的產品週期放電電量、放電功耗等特性。