Insight into the Thiol-yne Kinetics via a Computational Approach

2021 ◽  
Author(s):  
Volkan Fındık ◽  
Betul Tuba Varinca ◽  
Isa Degirmenci ◽  
Safiye Sag Erdem
Keyword(s):  
Computational Approach ◽  
Insight Into

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

scholarly journals Northstar enables automatic classification of known and novel cell types from tumor samples

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Fabio Zanini ◽  
Bojk A. Berghuis ◽  
Robert C. Jones ◽  
Benedetta Nicolis di Robilant ◽  
Rachel Yuan Nong ◽  
...  
Keyword(s):  
Cell Types ◽  
Neoplastic Cell ◽  
Computational Approach ◽  
Pancreatic Tumors ◽  
Published Data ◽  
Cell Type ◽  
Disease Heterogeneity ◽  
Manual Task ◽  
Insight Into

Abstract Single cell transcriptomics is revolutionising our understanding of tissue and disease heterogeneity, yet cell type identification remains a partially manual task. Published algorithms for automatic cell annotation are limited to known cell types and fail to capture novel populations, especially cancer cells. We developed northstar, a computational approach to classify thousands of cells based on published data within seconds while simultaneously identifying and highlighting new cell states such as malignancies. We tested northstar on data from glioblastoma, melanoma, and seven different healthy tissues and obtained high accuracy and robustness. We collected eleven pancreatic tumors and identified three shared and five private neoplastic cell populations, offering insight into the origins of neuroendocrine and exocrine tumors. Northstar is a useful tool to assign known and novel cell type and states in the age of cell atlases.

scholarly journals Combined experimental and theoretical study of long-range H–F interactions in α-fluoro amides

2019 ◽  
Vol 55 (16) ◽  
pp. 2253-2256 ◽  
Author(s):  
Elena Cosimi ◽  
Nils Trapp ◽  
Marc-Olivier Ebert ◽  
Helma Wennemers
Keyword(s):  
Long Range ◽  
Theoretical Study ◽  
Computational Approach ◽  
Insight Into

A combined experimental and computational approach provided insight into the nature and conformational dependence of long-range 4JHF couplings in α-fluoro amides.

scholarly journals Insight into the interaction between α-lapachone and bovine serum albumin employing a spectroscopic and computational approach

2016 ◽  
Vol 5 (1) ◽  
pp. 331-339 ◽  
Author(s):  
Otávio Augusto Chaves ◽  
Edgar Schaeffer ◽  
Carlos Maurício R. Sant'Anna ◽  
José Carlos Netto-Ferreira ◽  
Dari Cesarin-Sobrinho ◽  
...  
Keyword(s):  
Bovine Serum Albumin ◽  
Serum Albumin ◽  
Bovine Serum ◽  
Computational Approach ◽  
Insight Into

A detailed insight into the interaction of memantine with bovine serum albumin: A spectroscopic and computational approach

2020 ◽  
Vol 303 ◽  
pp. 112671 ◽  
Author(s):  
Faisal Ameen ◽  
Sharmin Siddiqui ◽  
Ishrat Jahan ◽  
Shahid M. Nayeem ◽  
Sayeed ur Rehman ◽  
...  
Keyword(s):  
Bovine Serum Albumin ◽  
Serum Albumin ◽  
Bovine Serum ◽  
Computational Approach ◽  
Insight Into

scholarly journals A Hermeneutic of Variation? The Orthographic Variability of the Hebrew Bible and the Larger Dead Sea Scrolls

2020 ◽  
Vol 29 (2) ◽  
Author(s):  
Johan De Joode ◽  
Dirk Speelman
Keyword(s):  
Hebrew Bible ◽  
Language Change ◽  
Dead Sea Scrolls ◽  
Dead Sea ◽  
Computational Approach ◽  
Quantitative Linguistics ◽  
Historical Reconstructions ◽  
The Dead ◽  
Insight Into

In this contribution, we investigate the distribution of variant spellings in the largest texts of the Dead Sea Scrolls and the Hebrew Bible using principles and methods from quantitative linguistics. The variability of spelling is widely accepted in the literature. To date, however, insight into the extent of said variability is limited. This article therefore quantifies orthographic heterogeneity within a corpus of Classical Hebrew using a computational approach. It introduces a measure for profile-based uniformity which has proven successful in variational linguistics. The aim is not to identify the causes of orthographic variation, but rather to investigate the phenomenon of variability in its own right. Understanding orthographic heterogeneity across texts influences historical reconstructions based on orthography, such as the use of orthography for the dating of texts, but it also affects the description of language change and the study of scribal practice.

scholarly journals Studying the effect of lockdown using epidemiological modelling of COVID-19 and a quantum computational approach using the Ising spin interaction

2020 ◽  
Author(s):  
Anshuman Padhi ◽  
Sudev Pradhan ◽  
Pragna Paramita Sahu ◽  
S Kalyani ◽  
Bikash K. Behera ◽  
...  
Keyword(s):  
Ising Model ◽  
Quantum Circuit ◽  
Computational Approach ◽  
Spin Interaction ◽  
Huge Amount ◽  
Healthcare Facilities ◽  
Ising Spin ◽  
Rate Of Recovery ◽  
D Model ◽  
Insight Into

COVID-19 is a respiratory tract infection that can range from being mild to fatal. In India, the countrywide lockdown has been imposed since 24th march, 2020, and has got multiple extensions with different guidelines for each phase. Among various models of epidemiology, we use the SIR(D) model to analyze the extent to which this multi-phased lockdown has been active in ‘flattening the curve’ and lower the threat. Analyzing the effect of lockdown on the infection may give us a better insight into the evolution of epidemic while implementing the quarantine procedures as well as improving the healthcare facilities. For accurate modelling, incorporating various parameters along with sophisticated computational facilities, are required. Parallel to SIRD modelling, we tend to compare it with the Ising model and derive a quantum circuit that incorporates the rate of infection and rate of recovery, etc as its parameters. The probabilistic plots obtained from the circuit qualitatively resemble the shape of the curve for the spread of Coronavirus. We also demonstrate how the curve flattens when the lockdown is imposed. This kind of quantum computational approach can be useful in reducing space and time complexities of a huge amount of information related to the epidemic.

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