Article
Environmental Sciences
Jun-Seon Kim, Uk Jin Jung, Su-Hong Park, Dong-Yeob Lee, Moonhong Kim, Dongwoo Sohn, Dong-Wook Seo
Summary: In this paper, a method is proposed to simulate the behavior of chaff clouds, which are widely used as passive jammers to disrupt radar or radio-frequency sensors. The behavior of chaff clouds is modeled as probability density functions (PDFs), and approximation techniques are applied to estimate the radar cross-section (RCS) in real time. The proposed scheme is effective for real-time chaff cloud simulation and can serve as a standard baseline for developing new analysis methods.
Article
Computer Science, Information Systems
Kousar Aslam, Yu Chen, Muhammad Butt, Ivano Malavolta
Summary: Real-time collaboration in model-driven software engineering is gaining attention due to its potential adverse effects on the efficiency of software modeling process. To address this issue, BUMBLE-CE is presented as an extensible approach for cross-platform real-time collaborative modeling, which is independent of both the modeling platforms and the domain-specific modeling language. One of the main characteristics of BUMBLE-CE is the ability for modelers to work on the head revision of their models and initiate on-demand real-time collaborative modeling sessions. This paper discusses the requirements, architecture, implementation, and example application of BUMBLE-CE.
Article
Astronomy & Astrophysics
Jaikhomba Singha, Avishek Basu, M. A. Krishnakumar, Bhal Chandra Joshi, P. Arumugam
Summary: This paper introduces an automated glitch detection pipeline for real-time detection of rotational glitches in pulsars, utilizing two algorithms of median absolute deviation and polynomial regression. The polynomial regression algorithm has been found to be significantly more effective based on simulations. The pipeline is currently implemented at the Ooty Radio Telescope and will be important for observing hundreds of pulsars in the upcoming era of large telescopes.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2021)
Article
Chemistry, Analytical
Celine Callens, Francois-Clement Bidard, Anais Curto-Taribo, Olfa Trabelsi-Grati, Samia Melaabi, Suzette Delaloge, Anne-Claire Hardy-Bessard, Thomas Bachelot, Florian Clatot, Thibault De La Motte Rouge, Jean-Luc Canon, Laurent Arnould, Fabrice Andre, Sandrine Marques, Marc-Henri Stern, Jean-Yves Pierga, Anne Vincent-Salomon, Camille Benoist, Emmanuelle Jeannot, Frederique Berger, Ivan Bieche, Anne Pradines
Summary: This study demonstrates the feasibility and accuracy of using droplet digital polymerase chain reaction (ddPCR) for screening ESR1 mutations in circulating tumor DNA of metastatic breast cancer patients. The results indicate that ddPCR has excellent performance and opens up new opportunities for therapeutic interventions.
ANALYTICAL CHEMISTRY
(2022)
Article
Biology
Fengyu Zhang, Yipeng Wang, Xiaomeng Wang, Hongjie Dong, Min Chen, Ning Du, Hongwei Wang, Wei Hu, Kundi Zhang, Lichuan Gu
Summary: A new method (RT-IVT) leverages fluorescence quenchers & DNA ligase in FRET and RNA-splinted DNA ligation methods to allow inexpensive, nonradioactive and selective mRNA production quantification. The RT-IVT method can detect mRNA production in unpurified systems in real-time and shows high sensitivity and selectivity. Additionally, it enables multiplexed real-time mRNA quantification.
COMMUNICATIONS BIOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Peter Grohmann, Michael S. J. Walter
Summary: Utilizing GPU for vector-chain-based statistical tolerance analysis is more efficient with larger sample sizes and can reduce runtime by utilizing array vectorization with NumPy and selecting the proper storage order. These methods, implemented with Python, can improve existing workflows on regular desktop computers for real-time statistical tolerance analysis and synthesis.
APPLIED SCIENCES-BASEL
(2021)
Article
Biochemistry & Molecular Biology
Elena I. Zavala, Ayinuer Aximu-Petri, Julia Richter, Birgit Nickel, Benjamin Vernot, Matthias Meyer
Summary: The use of hybridization capture has greatly increased the sample sizes for ancient DNA studies, but it also has limitations such as high consumption of reagents and time. This study explored the possibility of improving the economics of sample preparation through multiplex capture, and provided protocols for both manual and automated capture to suppress cross-contamination and artefact formation.
MOLECULAR ECOLOGY RESOURCES
(2022)
Article
Mathematics, Applied
Mohamed Hajjem, Stephane Victor, Pierre Melchior, Patrick Lanusse, Lara Thomas
Summary: This paper proposes a method to design a real-time wind turbulence simulator in order to develop more robust controls for mechanical systems operating outdoors. The models used are based on wind spectral characteristics and are able to reproduce wind behavior accurately under specific conditions, such as low altitude and slow moving systems.
FRACTIONAL CALCULUS AND APPLIED ANALYSIS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rony Kalfarisi, Alvin Chew, Jianping Cai, Meng Xue, Jocelyn Pok, Zheng Yi Wu
Summary: This paper develops a versatile framework for accurate prediction of Smart Water Grid (SWG) system status by integrating data preprocessing procedures with various statistical methods, machine learning, and deep learning algorithms. The case study using real-world monitoring data shows that the framework achieves high prediction accuracy.
ADVANCES IN ENGINEERING SOFTWARE
(2022)
Article
Biochemistry & Molecular Biology
Austin J. Van Asselt, Jeffrey J. Beck, Casey T. Finnicum, Brandon N. Johnson, Noah Kallsen, Jouke Jan Hottenga, Eco J. C. de Geus, Dorret I. Boomsma, Erik A. Ehli, Jenny van Dongen
Summary: The field of DNA methylation research is rapidly evolving, focusing on studying disease and phenotype changes over time using methylation measurements from diverse tissue sources and multiple array platforms. This study identified longitudinal, inter-tissue, and inter-platform variation in DNA methylation, and identified a set of shared CpGs associated with aging, ancestry, and mQTLs.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Mechanics
Bo Huang, Haobo Hua, Huan Han, Qingyu Wu, Mingkui Zhang, Zhigang Zuo, Shuhong Liu
Summary: In this study, the advection-diffusion-reaction equations were solved for two-dimensional plane Poiseuille flows. The dynamics of the system and the influences of nondimensional parameters were analyzed. Analytical models were proposed to describe the effects of specific parameters on the adsorption equilibrium time. The research provides a convenient method for identifying dominant processes in future studies of advection-diffusion-Langmuir adsorption systems.
Article
Chemistry, Multidisciplinary
Sheida Bagherzadeh-Nobari, Reza Kalantarinejad
Summary: The study investigated the use of armchair graphene nanoribbon (AGNR) as a DNA hybridization detector, and found that functionalization with 1-pyrenebutanoic acid succinimidyl ester (PBASE) increased conductance, while functionalization with probe and target DNA decreased conductance. The changes in conductance were attributed to alterations in the projected density of states on the AGNR and transmission around the Fermi energy. Charge transfer and electrostatic gating were identified as the mechanisms responsible for the changes in electrical properties of the system. The device was able to detect DNA hybridization with a sensitivity of 10% at zero bias voltage, and could achieve higher sensitivity with the application of a suitable gate voltage.
JOURNAL OF NANOPARTICLE RESEARCH
(2021)
Article
Automation & Control Systems
Leifeng He, Guanjun Liu
Summary: When performing real-time tasks with dependent relations in a multiprocessor interruptible environment, the correct design of such a system is complex and difficult. Model checking based on time Petri nets and timed computation tree logic (TCTL) is an effective method to verify the correctness of the system. However, existing models and tools only focus on multiprocessor real-time systems with one processor of the same type, leaving out cases with more than one. This article proposes prioritized time-point-interval Petri nets (PToPN) to address this issue, with defined firing rules and state graphs to represent the system's behaviors. We also introduce TCTL with unknown time bounds (TCTLX) to compute the minimum or maximum time bounds ensuring a related formula holds.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Yachao Jia, Guolong Li, Xin Dong
Summary: A strategy based on statistical analysis is proposed in this paper for real-time wear monitoring of hob cutters. Vibration signals are collected and a feature iterative integration method is used to integrate the initial features. A probability tabular cumulative sum control chart method is established for real-time monitoring. The effectiveness and transferability of the proposed methods are verified through two different data sets.
Article
Food Science & Technology
Ana Caroline de Oliveira, Aline Marien, Julie Hulin, Yordan Muhovski, Vincent Baeten, Eric Janssen, Gilbert Berben, Herve Rogez, Frederic Debode
Summary: The study compared three methods for DNA extraction from cocoa-derived products and chocolate, with the classical CTAB method proving to provide suitable DNA for PCR amplification. Seven real-time PCR tests for cocoa detection were designed, with two methods successfully meeting the performance criteria for specificity, sensitivity, and applicability in processed cocoa-derived products and chocolate. This methodology is useful for cocoa authentication and may lead to a future distinction between fine and bulk genotypes using a cost-effective and efficient approach.