106 research outputs found
Gold-Catalyzed Formal [4+2] Cycloaddition as Access to Antitumor-Active Spirocyclic Oxindoles from Alkynes and Isatin-Derived Ketimines
No full textDue to its excellent bioactivity profile, which is increasingly utilized in pharmaceutical and synthetic chemistry, spirooxindole is an important core scaffold. We herein describe an efficient method for the construction of highly functionalized new spirooxindolocarbamates via a gold-catalyzed cycloaddition reaction of terminal alkynes or ynamides with isatin-derived ketimines. This protocol has a good functional group compatibility, uses readily available starting materials, mild reaction conditions, low catalyst loadings and no additives. It enables the transformation of various functionalized alkyne groups into cyclic carbamates. Gram-scale synthesis was achieved and DFT calculations verify the feasibility of the mechanistic proposal. Some of the target products exhibit good to excellent antiproliferative activity on human tumor cell lines. In addition, one of the most active compounds displayed a remarkable selectivity towards tumor cells over normal ones
Hardware Acceleration of Network Intrusion Detection System Using FPGA
No full textEThOS - Electronic Theses Online ServiceGBUnited Kingdo
Memory Study in The Danish Girl (2000) by David Ebershoff Through Voyant Text Mining Tools: A Digital Humanities (DH) Study: 1. Muhammad Awais 2. Adeel Khalid
No full textIn this digital era, the world has revolutionised its ways of extracting knowledge patterns based on diverse and large texts using a digital humanities (DH) approach and a range of digital text mining tools available to deconstruct and visualise literary texts. This paper attempts to explore the characters of the novel, ‘The Danish Girl’ by David Ebershoff, through the study of their individual or collective memories through Voyant, a text-mining digital tool for textual analysis. Analysis revealed knowledge patterns on memory in the text through the Voyant text mining tool, which recognizes repeating words and phrases and provides insights into the author\u27s language choices and how they relate to memory studies. It provided textual analysis and allowed data visualisation, collocations, and quantitative and qualitative analysis of the text. The study unveils the summary tool features of the overall corpus, cirrus, unique words, dense words, themes, and phrase tools using a digital humanities approach to text mining, underscoring the significance of digital tools in advancing our understanding of literature and memory
Cross genre author profilling using syntactic N-Grams
No full textTesis (Maestría en Ciencias de la Computación), Instituto Politécnico Nacional, CIC, 2017, 1 archivo PDF, (95 páginas). tesis.ipn.m
GP-ELM-RNN: Garson-pruned extreme learning machine based replicator neural network for anomaly detection
No full textBig Data Mining: Tools & Algorithms
No full textWe are now in Big Data era, and there is a growing demand for tools which can process and analyze it. Big data analytics deals with extracting valuable information from that complex data which can’t be handled by traditional data mining tools. This paper surveys the available tools which can handle large volumes of data as well as evolving data streams. The data mining tools and algorithms which can handle big data have also been summarized, and one of the tools has been used for mining of large datasets using distributed algorithms
Cross-Genre Author Profile Prediction Using Stylometry-Based Approach Notebook for PAN at CLEF 2016
No full textAbstract.Author profiling task aims to identify different traits of an author by analyzing his/her written text. This study presents a Stylometry-based approach for detection of author traits (gender and age) for cross-genre author profiles. In our proposed approach, we used different types of stylistic features including 7 lexical features, 16 syntactic features, 26 character-based features and 6 vocabulary richness (total 56 stylistic features). On the training corpus, the proposed approach obtained promising results with an accuracy of 0.787 for gender, 0.983 for age and 0.780 for both (jointly detecting age and gender). On the test corpus, proposed system gave an accuracy of 0.576 for gender, 0.371 for age and 0.256 for both
Label-free electrochemical aptasensor for the detection of SARS-CoV-2 spike protein based on carbon cloth sputtered gold nanoparticles
No full textThe proliferation and transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or the (COVID-19) disease, has become a threat to worldwide biosecurity. Therefore, early diagnosis of COVID-19 is crucial to combat the ongoing infection spread. In this study we propose a flexible aptamer-based electrochemical sensor for the rapid, label-free detection of SARS-CoV-2 spike protein (SP). A platform made of a porous and flexible carbon cloth, coated with gold nanoparticles, to increase the conductivity and electrochemical performance of the material, was assembled with a thiol functionalized DNA aptamer via S–Au bonds, for the selective recognition of the SARS-CoV-2 SP. The various steps for the sensor preparation were followed by using scanning electron microscopy, cyclic voltammetry and differential pulse voltammetry (DPV). The proposed platform displayed good mechanical stability, revealing negligible changes on voltammetric responses to bending at various angles. Quantification of SARS-CoV-2 SP was performed by DPV and chronopotentiometry (CP), exploiting the changes of the electrical signals due the [Fe(CN)6]3-/4- redox probe, when SARS-CoV-2 SP binds to the aptamer immobilized on the electrode surface. Current density, in DPV, and square root of the transition time, in CP, varied linearly with the log[ SARS-CoV-2 SP], providing lower limits of detection (LOD) of 0.11 ng/mL and 37.8 ng/mL, respectively. The sensor displayed good selectivity, repeatability, and was tested in diluted human saliva, spiked with different SARS-CoV-2 SP concentrations, providing LODs of 0.167 ng/mL and 46.2 ng/mL for DPV and CP, respectively
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