Results 101 to 110 of about 3,371,941 (321)

A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios

BMC Medical Research Methodology
We propose a compartmental model for investigating smoking dynamics in an Italian region (Tuscany). Calibrating the model on local data from 1993 to 2019, we estimate the probabilities of starting and quitting smoking and the probability of smoking ...
Alessio Lachi, Cecilia Viscardi, Giulia Cereda, Giulia Carreras, Michela Baccini   +4 more
doaj   +1 more source

Sequential Pattern Mining and Hybrid Sentiment-based Collaborative Architecture for Rating Prediction [PDF]

International Journal of Mathematical, Engineering and Management Sciences
This research presents a novel approach named “Sequential Pattern Mining and Hybrid Sentiment-based Collaborative Architecture for Rating Predictions".
Anil Kumar, Sonal Chawla, Supreet Kaur Mann   +2 more
doaj   +1 more source

Presenting Computer Science Concepts to High School Students [PDF]

, 2014
Computer science at high school often focusses on programming, but a broader view of other areas of computer science has key benefits for both writing programs that are more efficient and making more theoretical concepts more accessible to those who do
Bell, T., Duncan, C., Jarman, S., Newton, H.   +3 more
core  

Molecular bases of circadian magnesium rhythms across eukaryotes

FEBS Letters, EarlyView.
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley   +1 more source

Comparative Analysis of Predictive Algorithms for Performance Measurement

IEEE Access
Predictive algorithms, also known as mathematical models, utilize historical data to accurately predict future outcomes. These algorithms identify patterns and relationships within the data, resulting in precise predictions.
Swati Gupta, Bal Kishan, Preeti Gulia
doaj   +1 more source

Cumulative reports and publications through December 31, 1987 [PDF]

This document contains a complete list of Institute for Computer Applications in Science and Engineering (ICASE) Reports. Since ICASE Reports are preprints of articles to be published in journals or conference proceeding, the published reference is ...

core   +1 more source

Interplay between circadian and other transcription factors—Implications for cycling transcriptome reprogramming

FEBS Letters, EarlyView.
This perspective highlights emerging insights into how the circadian transcription factor CLOCK:BMAL1 regulates chromatin architecture, cooperates with other transcription factors, and coordinates enhancer dynamics. We propose an updated framework for how circadian transcription factors operate within dynamic and multifactorial chromatin landscapes ...
Xinyu Y. Nie, Jerome S. Menet
wiley   +1 more source

Constructing Reliable Virtual Backbones in Probabilistic Wireless Sensor Networks

Journal of Computing and Information Technology, 2017
Most existing algorithms used for constructing virtual backbones are based on the ideal deterministic network model (DNM) in which any pair of nodes is either fully connected or completely disconnected. Different from DNM, the probabilistic network model
Hai Liu, Yong Feng, Qian Qian, Bin Zhang
doaj   +1 more source

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source

Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer

IEEE Access
The last few years have witnessed exponential rise in breast cancer disease. The increasing mortality rate due to the lack of earlier diagnosis has alarmed healthcare industry to develop more efficient and scalable computer aided diagnosis (CAD) solution.
Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi   +1 more
doaj   +1 more source