Results 151 to 160 of about 2,962,161 (302)
Engineering‐Modulated Molybdenum Enzymes Strategy for Tumor‐Specific Metabolic‐Immunotherapy
Advanced Science, EarlyView.Biodegradable molybdenum sulfide nanoparticles were synthesized via a one‐pot strategy to increase molybdenum enzyme activity and thus effectively potentiate anti‐tumor immunity by integrating molybdenum‐based metalloimmunotherapy with hydrogen sulfide gas therapy.
Xiaoxiao Pan +14 more
wiley +1 more source
Advanced Science, EarlyView.Pasta is a transcriptomic aging clock built on an age‐shift learning framework and trained on 17 000 samples across 21 datasets. It accurately predicts relative biological age across tissues, platforms, and species, captures stemness‐to‐senescence transitions, and identifies age‐modulatory perturbations.
Jérôme Salignon +6 more
wiley +1 more source
, 2001 Discovering associations is one of the fundamental tasks of data mining. Its aim is to automatically seek for dependencies from vast amounts of data. The task results in socalled association rules, which are of form: If A occurs in the data then B occurs also. Only those rules that occur in the data frequently enough are generated.
openaire +2 more sources
Advanced Science, EarlyView.Genetic ablation of Cep55 in Pten‐deficient mouse models delays tumorigenesis. Integrated multi‐omics analyses (proteomics, phosphoproteomics, and spatial transcriptomics) reveal that CEP55 regulates oncogenic signaling (RAS/ERK, PI3K/AKT), integrin/FAK‐mediated adhesion, extracellular matrix (ECM) remodeling, and endocytosis.
Behnam Rashidieh +22 more
wiley +1 more source
Hiding Fuzzy Sequential Patterns by a Multi-Objective Scheme
International Journal of Information and Communication Technology Research, 2016 Improvements in technology have led to generating and mining huge amounts of data. Sequence mining is a research area of data mining that aims to extract useful knowledge from raw databases.
Olya Sadat Behbahani +2 more
doaj
Efficient Sequential Pattern Mining by Breadth-First Approach
, 2007 自從GSP演算法提出之後，許多相關的演算法被提出來且大多專注在找尋所有序列樣式。CloSpan演算法首先提出找尋封閉集合。封閉集合比全集合更精簡有效，且具有相同的表達能力。因此，CloSpan就以PrefixSpan演算法為基礎，加上兩個其稱為backward sub-pattern與backward super-pattern的刪減技巧，有效地找出封閉集合。 因此我們提出一個新的演算法以找尋封閉集合。然而不同於之前演算法多採深度優先的策略，我們的演算法是屬於廣度優先的方法。另外 ...
張耕源, Chang, Keng-Yuan
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Metal‐Half‐Salen Chemistry for One‐Pot Mineralization on Hydrophobic Polymer Membranes
Advanced Science, EarlyView.Here we report a versatile one‐pot synthetic strategy for organic–inorganic composite membranes, which leverages a metal half‐Salen system to precisely govern the competing kinetics of coordination and hydrolysis. In contrast to conventional two‐step metal‐phenol chemistries, our integrated approach substantially simplifies the fabrication process ...
Rou‐Ming Wen +8 more
wiley +1 more source
Hardware Architecture of Tree Structure for Real-time Progressive Sequential Pattern Mining
, 2007 傳統的循序樣式探勘演算法需要龐大的計算時間。當面臨累進式資料庫探勘時所需要的時間更多。在本論文中，我們設計了一種硬體的樹狀結構，用來解決累進式循序樣式探勘的問題。我們的演算法簡稱為HATS，運用樹狀結構代表每一個序列中的循序元素。透過管線設計，HATS可以高效率的產生循序元素。我們透過軟硬體共同設計，在可規劃邏輯閘陣列上，完成實體電路的設計與驗証。我們的實驗結果也顯示HATS不僅在隨機的測試資料中，明顯地比現有的所有循序樣式探勘演算法快速；並且對於一個在無線閘道的實際應用上表現優異 ...
Chen, Bo-Han, 陳伯翰
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Sequential Pattern Mining by Multi-Threading Techniques
, 2020 : Discovery of Sequential pattern mining is an important data mining mission with wide applications. One of the most important types of sequential patterns is closed sequential pattern, which holds all the information of the perfect patterns set but is ...
core
CASM: searching context-aware sequential patterns iteratively [PDF]
, 2011 Many applications are interested in mining context-aware sequential patterns such as opinions, common navigation patterns, and product recommendations.
Zhong, Hengzhi
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