Automated identification of structurally heterogeneous and patentable antiproliferative hits as potential tubulin inhibitors

2018 ◽  
Vol 92 (1) ◽  
pp. 1161-1170 ◽  
Author(s):  
Giuseppe Felice Mangiatordi ◽  
Daniela Trisciuzzi ◽  
Rosamaria Iacobazzi ◽  
Nunzio Denora ◽  
Leonardo Pisani ◽  
...  
Keyword(s):  
Automated Identification ◽  
Tubulin Inhibitors

Analyzing Language in Suicide Notes and Legacy Tokens

Crisis ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Michael J. Egnoto ◽  
Darrin J. Griffin
Keyword(s):  
Text Analysis ◽  
Low Cost ◽  
Computer Software ◽  
Student Writing ◽  
Computer Assisted ◽  
Automated Identification ◽  
Completed Suicide ◽  
Suicide Notes ◽  
Self Harm ◽  
Harm To Others

Abstract. Background: Identifying precursors that will aid in the discovery of individuals who may harm themselves or others has long been a focus of scholarly research. Aim: This work set out to determine if it is possible to use the legacy tokens of active shooters and notes left from individuals who completed suicide to uncover signals that foreshadow their behavior. Method: A total of 25 suicide notes and 21 legacy tokens were compared with a sample of over 20,000 student writings for a preliminary computer-assisted text analysis to determine what differences can be coded with existing computer software to better identify students who may commit self-harm or harm to others. Results: The results support that text analysis techniques with the Linguistic Inquiry and Word Count (LIWC) tool are effective for identifying suicidal or homicidal writings as distinct from each other and from a variety of student writings in an automated fashion. Conclusion: Findings indicate support for automated identification of writings that were associated with harm to self, harm to others, and various other student writing products. This work begins to uncover the viability or larger scale, low cost methods of automatic detection for individuals suffering from harmful ideation.

scholarly journals Automated identification of anatomical anomalies in the hyoid region of cleft lip and palate patients

2020 ◽  
pp. 100103
Author(s):  
Ahmed Z. Abdelkarim ◽  
Ayman R. Khalifa ◽  
Jenna Maligro ◽  
Carson Wong ◽  
Nicholas Lozanoff ◽  
...  
Keyword(s):  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
Automated Identification

scholarly journals Molecular modeling study, synthesis and biological evaluation of combretastatin A-4 analogues as anticancer agents and tubulin inhibitors

MedChemComm ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 316-327 ◽  
Author(s):  
Yang Ping Quan ◽  
Li Ping Cheng ◽  
Tian Chi Wang ◽  
Wan Pang ◽  
Fan Hong Wu ◽  
...  
Keyword(s):  
Molecular Modeling ◽  
Anticancer Agents ◽  
Hepg2 Cells ◽  
Binding Mode ◽  
Biological Evaluation ◽  
Tubulin Inhibitors ◽  
Molecular Modeling Study ◽  
Synthesis And Biological Evaluation ◽  
Modeling Study

Compound 13a, more effective than CA-4 against HepG2 cells and tubulin, and the proposed binding mode for 13a.

scholarly journals Enhanced adaptive matched filter for automated identification and measurement of electrocardiographic alternans

2021 ◽  
Vol 68 ◽  
pp. 102619
Author(s):  
Ilaria Marcantoni ◽  
Agnese Sbrollini ◽  
Micaela Morettini ◽  
Cees A. Swenne ◽  
Laura Burattini
Keyword(s):  
Matched Filter ◽  
Automated Identification ◽  
Adaptive Matched Filter

scholarly journals Workflow and convolutional neural network for automated identification of animal sounds

2021 ◽  
Vol 124 ◽  
pp. 107419
Author(s):  
Zachary J. Ruff ◽  
Damon B. Lesmeister ◽  
Cara L. Appel ◽  
Christopher M. Sullivan
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Automated Identification
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