Article
Multidisciplinary Sciences
Martin-I. Trappe, Ryan A. Chisholm
Summary: Ecology currently lacks a holistic approach to model phenomena across temporal and spatial scales, but density functional theory provides a promising computational framework to address this challenge.
NATURE COMMUNICATIONS
(2023)
Article
Thermodynamics
Tongxu Yang, Limei Zhang, Linteng Zhen, Yongfu Liu, Qianqian Song, Wei Tang
Summary: A fast partition method for constructing microgrids is proposed, using a combination of depth search and a modified imperial competition algorithm. The maximum reachability boundary of microgrids in island mode is determined by investigating Candidate Island. The reliability calculation method for microgrids with different numbers of distributed energy resources (DERs) is available, and the principle of microgrid construction considers load grade, voltage loss, and reliability to compete for the optimal island with high reliability.
Article
Ecology
Jeremy Hemberger, Olivia M. Bernauer, Hannah R. Gaines-Day, Claudio Gratton
Summary: Agricultural practices have changed floral resources which support bumble bees, leading to inhospitable conditions for some species. This study explored the relationship between floral resource availability and bumble bee occurrence in an intensive agricultural region. The results suggest that increasing flower availability and continuity can have positive effects on bumble bee communities.
ECOLOGICAL APPLICATIONS
(2023)
Article
Multidisciplinary Sciences
Ningning Lang, Lin Wang, Quanbo Zha
Summary: This paper develops a social network model based on competitive game to investigate opinion dynamics in a competitive environment. The results show that factors such as resource ratio, initial opinions, self-confidence, and network structure play a crucial role in the final consensus and competition outcomes.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Article
Neurosciences
Andrea Luppi, Robin L. Carhart-Harris, Leor Roseman, Ioannis Pappas, David K. Menon, Emmanuel A. Stamatakis
Summary: Investigating the effects of LSD on brain function and subjective experience reveals that LSD increases the complexity of dynamic functional connectivity and weakens the relationship between functional and anatomical connectivity. Time-specific effects are correlated with different aspects of subjective experiences, providing a more nuanced and temporally-specific understanding of altered brain connectivity and complexity under psychedelics.
Article
Multidisciplinary Sciences
Marzena Fuegenschuh, Ralucca Gera, Jose Antonio Mendez-Bermudez, Andrea Tagarelli
Summary: This study explores the importance of using synthetic generative multilayer models to analyze meaningful patterns in airline transportation networks (ATN) and measure their resilience to attacks. By focusing on the ANGEL, STARGEN, and BINBALL models, the research provides a systematic analysis of the topological aspects and spectral characteristics of ATNs, demonstrating that ANGEL outperforms the other models in capturing the complexity of real-world ATNs.
Article
Biochemistry & Molecular Biology
Xiang-Lin Zhuge, Tao Xie, Xin Du, Xiu-Xing Zhang, Jian-Ping Hu, Hai-Ling Yang
Summary: This study reveals the importance of the interaction between the Ile residue and GSH for the structural stability and catalytic function of plant-specific tau glutathione transferases (GSTs). The substitution of Ile by Thr significantly decreases the affinity and catalytic efficiency of the GSTs. Crystallography studies and molecular dynamics simulations show that this conversion leads to hydrogen bond recombination and conformational rearrangement of GST active cavity.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Article
Multidisciplinary Sciences
Melody Li, Mohamed Eltabbal, Hoang- Dai Tran, Bernd Kuhn
Summary: In this study, researchers generated a mouse model of Scn2a insufficiency and found that spontaneous Ca2+ transients in somatosensory cortical neurons, as well as their pairwise co-activities, were decreased in Scn2a ASO mice during spontaneous awake state and induced seizure state. This reduction may be a mechanism driving SCN2A PTV pathology.
Article
Business
Qiang Qiu, Jinyue Yu
Summary: This article explores the relationship between the social network of independent directors and corporate green innovation, finding that independent directors in the center of the network can significantly promote corporate green innovation, particularly in non-state enterprises and heavy polluters. Furthermore, the study reveals that internal and external corporate contexts can influence the relationship between independent director networks and green innovation.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Physics, Fluids & Plasmas
Sergey A. Vakulenko, Ivan Sudakov, Sergei Petrovskii, Dmitry Lukichev
Summary: This study examines the stability of a planetary climate system with a dynamic biosphere under the Gaia concept. It is found that as long as biodiversity is sufficiently high, feedback from biosphere dynamics will not break the system's stability. However, the system can lose its stability if biodiversity decreases, potentially leading to global climate change.
Article
Biochemistry & Molecular Biology
Xiaopian Tian, Hao Liu, Hai-Feng Chen
Summary: The study compared the catalytic mechanisms of butane coenzyme M reductase (ACR) and methane coenzyme M reductase (MCR) using molecular dynamics simulation. Results showed that the binding of butane with ACR is more stable, with stronger hydrophobic interactions compared to methane binding. The dynamics correlation network also indicated a smoother flow of information for ACR-butane compared to ACR-methane.
CHEMICAL BIOLOGY & DRUG DESIGN
(2021)
Article
Biochemistry & Molecular Biology
Ya-Wen Fu, Xin-Yue Dai, Wen-Tian Wang, Zhi-Xue Yang, Juan-Juan Zhao, Jian-Ping Zhang, Wei Wen, Feng Zhang, Kerby C. Oberg, Lei Zhang, Tao Cheng, Xiao-Bing Zhang
Summary: Investigations into CRISPR gene knockout editing profiles have improved the precision of editing outcomes. The dynamics and patterns of editing, particularly for homology-directed repair, vary among different cell lines. A combination of small molecules, M3814 and Trichostatin A, can lead to a 3-fold increase in HDR efficiency by inhibiting predominant NHEJ repairs.
NUCLEIC ACIDS RESEARCH
(2021)
Article
Mathematics, Applied
Lois Naudin
Summary: The goal of this paper is to better understand the emergence of non-spiking neuron behavior through the analysis of mathematical models. The study suggests that the up-and down-states in non-spiking neurons may be driven by bistable presynaptic neurons, rather than the intrinsic properties of the neurons themselves.
Article
Substance Abuse
Kainan S. Wang, Kaelyn Brown, Blaise B. Frederick, Lauren Moran, David Olson, Diego A. Pizzagalli, Roselinde H. Kaiser, Amy C. Janes
Summary: The study found that nicotine biases resting-state brain function in non-smokers away from the frontoinsular-DMN and toward the SN, reducing internally focused cognition and enhancing salience processing. This suggests that acute nicotine impacts specific networks linked with rumination and depression in non-smokers.
DRUG AND ALCOHOL DEPENDENCE
(2021)
Review
Biochemistry & Molecular Biology
Jean Chaudiere
Summary: Selenocysteine is a catalytic residue essential for the function of selenoenzymes in bacteria and mammals, being incorporated into polypeptides through a recoding process. Mammals possess 25 genes encoding selenoproteins, which primarily function as antioxidants and regulators of cell metabolism. Selenoprotein P serves as a reservoir for selenocysteine in mammals, while glutathione peroxidases, although extensively studied, still have unknown distribution and regulatory functions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Editorial Material
Computer Science, Artificial Intelligence
Damien Woods, Yannick Rondelez
Article
Chemistry, Multidisciplinary
Anton S. Zadorin, Yannick Rondelez, Guillaume Gines, Vadim Dilhas, Georg Urtel, Adrian Zambrano, Jean-Christophe Galas, Andre Estevez-Torres
Editorial Material
Computer Science, Artificial Intelligence
Damien Woods, Yannick Rondelez
Article
Multidisciplinary Sciences
Ievgen Kurylo, Guillaume Gines, Yannick Rondelez, Yannick Coffinier, Alexis Vlandas
SCIENTIFIC REPORTS
(2018)
Article
Biology
A. S. Zadorin, Y. Rondelez
JOURNAL OF MATHEMATICAL BIOLOGY
(2019)
Review
Biochemistry & Molecular Biology
Guillaume Gines, Roberta Menezes, Wenjin Xiao, Yannick Rondelez, Valerie Taly
MOLECULAR ASPECTS OF MEDICINE
(2020)
Article
Multidisciplinary Sciences
Guillaume Gines, Roberta Menezes, Kaori Nara, Anne-Sophie Kirstetter, Valerie Taly, Yannick Rondelez
Article
Chemistry, Multidisciplinary
Yannick Rondelez, Guillaume Gines
Article
Biochemistry & Molecular Biology
Vasily A. Shenshin, Camille Lescanne, Guillaume Gines, Yannick Rondelez
Summary: This paper introduces a general strategy to interface DNA-based circuits with non-DNA signals through input-translating modules, allowing the construction of sensing circuits with good specificity and sensitivity. The programmability of the DNA layer enables signal processing operations such as logical inversion, signal modulation, and classification tasks.
NUCLEIC ACIDS RESEARCH
(2021)
Review
Materials Science, Biomaterials
Coline Kieffer, Anthony J. Genot, Yannick Rondelez, Guillaume Gines
Summary: As an informational polymer, DNA has become an important molecule for constructing chemical reaction networks with powerful signal-processing capabilities. Molecular programming, inspired by both the silicon world and natural computation, has gained attention for diagnosis applications. Molecular classifiers have shown promising results for disease pattern recognition and sample classification. This low-cost approach, where input integration and computation are performed in a single tube at the molecular level, can complement the use of high-tech instrumentation in molecular profiling strategies. The review covers the elementary components of molecular classifiers and various experimental implementations using digital Boolean logic or analog neural network architectures.
Article
Biology
Rocio Espada, Nikola Zarevski, Adele Drame-Maigne, Yannick Rondelez
Summary: We introduce SINGLe, an error correction method that reduces noise in nanopore reads of amplicons containing point variations. SINGLe takes advantage of the similarity between all reads in an amplicon library and a wild-type sequence to characterize the systematic sequencing error pattern. It then uses this information to adjust the confidence given to nucleotides that do not match the wild-type, improving consensus calling.
Review
Chemistry, Multidisciplinary
Thomas Jet, Guillaume Gines, Yannick Rondelez, Valerie Taly
Summary: MicroRNA detection is a crucial challenge in analytical chemistry, with the need for high sensitivity, specificity, robustness, and quantitative analysis. The ability to perform multiplexed detection of miRNA concentrations is important for recognizing disease signatures and new innovative detection methods have been developed to address this challenge.
CHEMICAL SOCIETY REVIEWS
(2021)
Article
Biology
Adele Drame-Maigne, Anton S. Zadorin, Iaroslava Golovkova, Yannick Rondelez
Article
Chemistry, Analytical
Roberta Menezes, Adele Drame-Maigne, Valerie Taly, Yannick Rondelez, Guillaume Gines
Article
Physics, Fluids & Plasmas
Anton S. Zadorin, Yannick Rondelez