HKUST的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包

健康長壽：香港實證研究

為了解決HKUST的問題，作者張筱蘭 這樣論述：

　　沒有人能長生不老，但有人能長壽健康。一個有關百歲老人的研究，以理論、數據、例證，解答「健康長壽」之迷。   　　隨着人類社會的發展，「人生七十古來稀」已不鮮見，而耄耋及百歲老人更為普遍。自2001年，香港男性的平均壽命開始超越日本男性，2016年更達到了81.3歲；香港女性的出生時平均預期壽命自2013年也開始超越日本女性，2016年達到87.3歲，成為全球之冠。預測到2066年大部分香港的女性在97歲左右才會面臨死亡。同時根據據，香港統計處數字，在過去的35年間，香港85歲及以上的長者由1981年的1.5萬人，增加到2016年的17.3萬人，預計到2066年將會達77萬人，且每3位6

5歲及以上長者中約有1位為85歲及以上。香港百歲及以上老年人到2066年也將增至5.11萬人，且每10萬65歲及以上長者中約有2000人達到百歲及以上。   　　僅僅延長生命而不增加生活質素是沒有意義的。「健康長壽」才是人類追求的目標。那麼現在這些活着的百歲老人的身體如何，心態狀況如何，現在尚且年輕的我們晚年時該如何維持高質量生活？相信翻開本書會給您一個答案。   名人推薦   　　高永文醫生 　　陳麗雲太平紳士 　　常霖法師

HKUST進入發燒排行的影片

使用受親核基團攻擊之金屬有機骨架UiO-66為水溶液中吸附劑

為了解決HKUST的問題，作者李友仁 這樣論述：

金屬有機骨架 (MOF) 為一群以過渡金屬離子為核心，有機分子為配位基團的固態晶體。 MOF 多半具有中孔徑的特性，且其孔隙內通常具有巨大的表面積。 雖然眾多有關於MOF的特性已經被廣泛研究，MOF被親核基團攻擊的機制，以及被攻擊後產生的多孔材料的性質則依舊不清楚。本論文首先回顧於水中穩定的MOF之研究，以及其初步應用。 對水穩定的MOF具有從水溶液中吸附分子的潛力。 我們已經成功製備並分析其中一類鋯金屬為核心的MOF，UiO-66 和 UiO-66-NH2。有鑑於UiO-66 和 UiO-66-NH2對磷酸的吸附力大幅優於市面上的吸附劑，在此研究中合成的UiO-66 和 UiO-66-NH

2 首次被用於從極強酸性 (pH < -1) 的溶液中吸附磷酸。使用朗謬爾方程式做回歸後，其在25 oC廢棄混合酸，硝酸-磷酸-醋酸混合物，以及重量百分率85% 磷酸中，對磷酸之最大吸附量 (qmax) 分別為 3360, 8510 和 4790 mg-H3PO4/g。 吸附過磷酸之UiO-66/UiO-66-NH2，其磷與鋯的比例為6.2‒13.5，可能的原因為高濃度的磷酸堆積在UiO-66 的表面，形成一個類似聚磷酸的結構，並以氫鍵作為連結。當MOF被浸泡於無機酸溶液中，質子與親核基團均有可能攻擊MOF，並破壞其晶體結構。本論文首次發現在極強酸性溶液中，親核基團，而非質子，會取代晶體中原有

之有機配基，而破壞晶體之結構，肇因於親核基團為強路易斯鹼，和四價鋯具有強親和力。 MOF受攻擊後所產生的不定型中孔徑固體，若其沒有完全溶解，亦可以用於吸附劑。 由於這些不定型中孔徑固體，對於二價銅離子以及親核基團的吸附能力，與固體的晶體結構與內表面積並無明顯關聯，其吸附力可能為摻於固體內之親核基團所提供。根據上述的發現，我們使用了UiO-66以合成對pH、溫度，以及親核基團穩定的不定型固體。 此固體由 UiO-66 浸泡於10或50 mM 磷酸中得到，並以1 M 鹽酸/1 M 氫氧化鈉進行再處理。 無經酸鹼再處理之固體則作為對照。 這些無配基的官能基團，以及磷酸根，可以做為吸附鉛離子的活性位置

。綜上所述，本論文提升了我們對親核基團攻擊UiO-66的認知，並提出了高效轉化UiO-66成為穩定性高的不定型多孔固體之方法。此類固體有被使用於極端環境中的能力。

Large-Scale Graph Analysis: System, Algorithm and Optimization

為了解決HKUST的問題，作者Shao, Yingxia,Cui, Bin,Chen, Lei 這樣論述：

Yingxia Shao is a Research Associate Professor at the School of Computer Science, Beijing University of Posts and Telecommunications. His research interests include large-scale graph analysis, knowledge graph management and representation, and parallel computing. He obtained his PhD from Peking Univ

ersity in 2016, under the supervision of Prof. Bin Cui. He worked with Prof. Lei Chen as a visiting scholar at HKUST in 2013 and 2014. He has served in the Technical Program Committee of various international conferences including VLDB, KDD, AAAI, IJCAI, DASFAA, BigData, APWeb-WAIM and MDM. He is se

rving as a reviewer of international journals including VLDBJ, DAPD, WWWJ, DSE. He was selected for a Google PhD Fellowship (2014), MSRA Fellowship (2014), PhD National Scholarship of MOE China (2014), ACM SIGMOD China Doctoral Dissertation Award (2017). He is currently a member of the ACM, IEEE, CC

F, and China Database technical committee.Bin Cui is a Professor at the School of EECS and Director of the Institute of Network Computing and Information Systems, at Peking University. He obtained his B.Sc. from Xi’an Jiaotong University (Pilot Class) in 1996, and Ph.D. from National University of S

ingapore in 2004 respectively. From 2004 to 2006, he worked as a Research Fellow in Singapore-MIT Alliance. His research interests include database system architectures, query and index techniques, and big data management and mining. He has served in the Technical Program Committee of various intern

ational conferences including SIGMOD, VLDB, ICDE and KDD, and as Vice PC Chair of ICDE 2011, Demo Co-Chair of ICDE 2014, Area Chair of VLDB 2014, PC Co-Chair of APWeb 2015 and WAIM 2016. He is currently serving as a Trustee Board Member of VLDB Endowment, is on the the Editorial Board of VLDB Journa

l, Distributed and Parallel Databases Journal, and Information Systems, and was formerly an associate editor of IEEE Transactions on Knowledge and Data Engineering (TKDE, 2009-2013). He was selected for a Microsoft Young Professorship award (MSRA 2008), CCF Young Scientist award (2009), Second Prize

of Natural Science Award of MOE China (2014), and appointed a Cheung Kong distinguished Professor by the MOE in 2016. He is a senior member of the IEEE, member of the ACM and distinguished member of the CCF.Lei Chen received the BS degree in computer science and engineering from Tianjin University,

Tianjin, China, in 1994, the MA degree from Asian Institute of Technology, Bangkok, Thailand, in 1997, and the Ph.D. degree in computer science from the University of Waterloo, Canada, in 2005. He is currently a Full Professor at the Department of Computer Science and Engineering, Hong Kong Univers

ity of Science and Technology. His research interests include crowdsourcing, social media analysis, probabilistic and uncertain databases, and privacy-preserved data publishing. The system developed by his team won the excellent demonstration award at the VLDB 2014. He was selected for the SIGMOD Te

st-of-Time Award in 2015. He is PC Track chairs for SIGMOD 2014, VLDB 2014, ICDE 2012, CIKM 2012, SIGMM 2011. He has served as PC members for SIGMOD, VLDB, ICDE, SIGMM, and WWW. Currently, he serves as PC co-chair for VLDB 2019, Editor-in-Chief of VLDB Journal and associate editor-in-chief of IEEE T

ransactions on Data and Knowledge Engineering. He is an IEEE fellow, a member of the VLDB endowment and an ACM Distinguished Scientist.

合成銅-酚酸基生物金屬有機骨架 (Cu-BioMOFs) 並探討其可能用作抗結核藥物之載體

為了解決HKUST的問題，作者溫如意 這樣論述：

摘要 iiABSTRACT iiiACKNOWLEDGEMENT vTABLE OF CONTENT viLIST OF TABLES viiiLIST OF FIGURES ixCHAPTER 1 11.1. Background 11.2. Goal and objectives 31.3. Significance of the study 31.4. Scope and limitation 4CHAPTER 2 52.1. Metal-Organic Framework 52

.1.1. Synthesis strategy 82.1.2. MOFs for biological application 142.1.3. Phenolic acids 162.1.4. Copper 182.2. Drug delivery system 182.2.1. Tuberculosis treatment 192.2.2. Rifampicin 192.2.3. Adsorption isotherm 212.2.4. Release kinetics models

23CHAPTER 3 273.1. Materials 273.2. Synthesis of Cu-PCA and Cu-DHCA 283.3. Characterization 293.3.1. X-Ray Diffraction (XRD) 293.3.2. Nitrogen (N2) sorption analysis 293.3.3. Fourier Transform Infrared (FTIR) 293.3.4. Dynamic Light Scattering (DLS) 303.3

.5. Field Emission-Scanning Electron Microscopy (FE-SEM) 303.3.6. X-Ray Photoelectron Spectroscopy (XPS) 303.3.7. Elemental Analysis 303.3.8. Inductively coupled plasma-atomic emission spectrometry (ICP-OES) 303.3.9. Thermogravimetric Analysis (TGA) 313.4. RIF Loadin

g 313.5. RIF Release 323.6. Antibacterial Activity Assay 333.7. Cytotoxicity Assay 343.8. Fitting evaluation 34CHAPTER 4 364.1. Synthesis of BioMOFs 364.2. Crystal structure solution of Cu-PCA and Cu-DHCA powder XRD 394.3. Characterization of fresh BioMOF

s 424.4. Loading of RIF onto Cu-PCA and Cu-DHCA 474.5. Characterization of RIF@BioMOFs 524.6. In-vitro RIF release 534.7. Antibacterial activity 604.8. Cytotoxicity 614.9. Comparison with reported works 63CHAPTER 5 675.1. Conclusion 675.2. Recommend

ation 68REFERENCES 69APPENDIX 83A.1. Calculation RIF (mass) and release media (vol) for release system 83A.2. HPLC operating conditions 83