Article
Biochemistry & Molecular Biology
Fotini Koutroumpa, Christelle Monsempes, Sylvia Anton, Marie-Christine Francois, Nicolas Montagne, Emmanuelle Jacquin-Joly
Summary: In this study, the researchers used CRISPR-Cas9 technology to knock out the sex pheromone receptor in the noctuid moth Spodoptera littoralis. They found that the inactivation of the receptor specifically affected the response of corresponding antennal neurons, but did not impact the number of macroglomeruli in the antennal lobe. However, it did reduce the size of the macroglomerulus processing input from neurons tuned to the main pheromone component. This study provides the first evidence of the role of a moth pheromone receptor in macroglomerulus development and enhances our understanding of the various functions odorant receptors can have in insect neurodevelopment.
Article
Physiology
Jing Liu, Kang He, Zong-xiu Luo, Xiao-ming Cai, Lei Bian, Zhao-qun Li, Zong-mao Chen
Summary: The study compared the macroglomerular complex (MGC) of the antennal lobe (AL) between male Ectropis obliqua and Ectropis grisescens moths, finding both species had five glomeruli at invariant positions, but differing volumes of the anterior-lateral glomerulus (ALG) and posterior-ventral (PV) glomerulus. These differences may be related to their ability to sense sex pheromone compounds and ratios, providing important insights into mating isolation mechanisms between the sibling moth species.
FRONTIERS IN PHYSIOLOGY
(2021)
Article
Entomology
Xiao-Lan Liu, Xi Chu, Long-Long Sun, Ya-Nan Wang, Gui-Ying Xie, Wen-Bo Chen, Yang Liu, Bente G. Berg, Shi-Heng An, Gui-Rong Wang, Xin-Ming Yin, Xin-Cheng Zhao
Summary: This study investigated the physiology and morphology of olfactory sensory neurons (OSNs) in male H. armigera, revealing the specific responses and axonal projection areas of OSNs in different sensillae. These findings provide a crucial foundation for further research on insect olfaction in this species.
Article
Engineering, Biomedical
Ryosuke Matsuzawa, Akira Matsuo, Shuya Fukamachi, Sho Shimada, Midori Takeuchi, Takuya Nishina, Philip Kollmannsberger, Ryo Sudo, Satoru Okuda, Tadahiro Yamashita
Summary: Tissue engineers have used 3D scaffolds to control multicellular dynamics and tissue microstructures, but the detachment of cells from scaffolds has become a problem. By developing a new computational simulation method and a particle-based model, this study successfully reproduced the detachment processes observed in experiments and revealed the mechanism behind collective cellular detachment.
ACTA BIOMATERIALIA
(2023)
Article
Computer Science, Information Systems
Yiling Xuan, Xiangning Yu, Ying Wang, Donghua Liu, Qun Ma, Xiao Xue
Summary: Powered by advanced information technology, more and more complex social systems are exhibiting characteristics of complex networks. In consideration of the cost, legal and institutional constraints on the study of social systems in real world, the computational experiment method has emerged as a novel and powerful computational theory and tool for the quantitative analysis of complex social systems. However, how to map the dynamic network features of the real world into artificial society models is an urgent issue confronting the computational experiments method.
INFORMATION SCIENCES
(2023)
Review
Biochemical Research Methods
Qiu Xiao, Jianhua Dai, Jiawei Luo
Summary: This review discusses the relationship between circular RNAs (circRNAs) and complex human diseases, particularly their involvement in cancer progression. It highlights the functions and characteristics of circRNAs, introduces representative circRNAs related to tumorigenesis, and investigates available databases and tools for circRNA-disease studies. The review also comprehensively reviews computational methods for predicting circRNA-disease associations and discusses challenges and future research in the field.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Multidisciplinary Sciences
David L. Wagner, Richard Fox, Danielle M. Salcido, Lee A. Dyer
Summary: Moths are experiencing alarming decreases in abundance and diversity across Europe, but not in all regions like Ecuador and Arizona. Specialist moths are declining faster than generalist ones, with specific traits and habitats associated with higher risks. The most important stressors for moth declines include habitat loss due to human activities and climate change.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Review
Cell Biology
Spencer Farrell, Garrett Stubbings, Kenneth Rockwood, Arnold Mitnitski, Andrew Rutenberg
Summary: This passage discusses the use of computational models to advance understanding of the aging process, emphasizing the importance of including individual variability and predictive capability in the models. It also highlights the significance and potential of data-driven systems-level models in aging research.
MECHANISMS OF AGEING AND DEVELOPMENT
(2021)
Article
Computer Science, Cybernetics
Min Lu, Shizhan Chen, Xiao Xue, Xiao Wang, Yufang Zhang, Yifang Zhang, Fei-Yue Wang
Summary: Computational experiments are important for quantitative analysis of complex systems, but flexibility can lead to arbitrary modeling and unconvincing results, hindering large-scale application. The verification of computational models has become an urgent problem, with current evaluation methods still in their infancy. The proposed capability maturity evaluation framework provides a comprehensive evaluation from two perspectives and can help identify more mature and referential models.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Engineering, Manufacturing
Julian Kattinger, Tim Ebinger, Raphael Kurz, Christian Bonten
Summary: This paper presents a CFD simulation of the non-Newtonian and non-isothermal polymer flow through the nozzle of a fused filament fabrication printer. The numerical results were compared with experimental data and showed the suitability of the simulation approach in predicting the melting and flow behavior. The findings can contribute to the improvement of melting in the additive manufacturing process.
ADDITIVE MANUFACTURING
(2022)
Article
Computer Science, Artificial Intelligence
Lu Wang, Lei Ma, Chao Wang, Neng-gang Xie, Jin Ming Koh, Kang Hao Cheong
Summary: The study focuses on maximizing influence in social networks, proposing an influence assessment model based on both total valuation and variance in valuation of neighbor nodes, and developing a discrete moth-flame optimization method for searching influence-maximizing node sets. Experimental results show the effectiveness and robustness of the proposed method in tackling the influence maximization problem.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Computer Science, Cybernetics
Xiao Xue, Fangyi Chen, Deyu Zhou, Xiao Wang, Min Lu, Fei-Yue Wang
Summary: Computational experiments, as a new method for analyzing complex social systems, have been applied to various interdisciplinary research fields. Balancing flexibility in computational modeling with the credibility of conclusions is crucial, and a customized design framework is proposed in this article to meet diverse application demands. Typical applications of computational experiments are outlined to guide its rapid development and widespread use.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Biology
Ryan S. Phillips, Jonathan E. Rubin
Summary: Inspiratory breathing rhythms are generated through synchronized neuronal activity in the preBotzinger complex, with low-amplitude oscillations known as burstlets persisting even at physiological levels. The burstlet theory of respiratory rhythm generation suggests that these subthreshold events contribute to motor output generation. Intracellular calcium dynamics and calcium-activated nonselective cationic current play crucial roles in recruiting rhythmic and non-rhythmic components of the preBotzinger complex for rhythm generation and motor output recruitment.
Review
Biochemical Research Methods
Li Huang, Li Zhang, Xing Chen
Summary: There is currently no widely accepted strategy for evaluating computational models for microRNA-disease associations (MDAs). The evaluation methods and procedures are often determined on a case-by-case basis and depend on the choices of researchers. This review provides a comprehensive analysis of the evaluation methods used for 29 state-of-the-art models predicting MDAs and recommends a feasible evaluation workflow for future models.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Mechanics
Nicolas Moreno, Marco Ellero
Summary: We propose a fully Lagrangian heterogeneous multiscale method (LHMM) for modeling complex fluids with microscopic features. The method discretizes the fluctuating Navier-Stokes equations using smoothed dissipative particle dynamics (SDPD) and exploits the multiscale features of SDPD to account for thermal fluctuations. The LHMM is validated using different flow configurations and fluid types, showing its flexibility in modeling complex fluids at the microscale.
JOURNAL OF FLUID MECHANICS
(2023)
