Article
Multidisciplinary Sciences
Luigi Bonati, GiovanniMaria Piccini, Michele Parrinello
Summary: The development of enhanced sampling methods has expanded the scope of atomistic simulations, allowing the study of long-time phenomena with accessible computational resources. By identifying appropriate collective variables and utilizing machine learning and probability-enhanced sampling techniques, efficient transfer operator eigenfunctions can be extracted to accelerate the sampling of rare events, demonstrating the versatility and power of this approach across various systems.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Chemistry, Physical
Federico Caporaletti, Simone Napolitano
Summary: This study reports the presence of the Slow Arrhenius process (SAP) in small molecular glassformers, through dielectric spectroscopy in thin film geometry. These findings reinforce the idea that SAP is a universal feature of liquid and glassy dynamics.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2023)
Article
Chemistry, Physical
Erik Thoms, Simone Napolitano
Summary: The Meyer-Neldel compensation law is observed in various chemical reactions and thermally activated processes, providing a relationship between the entropic and enthalpic components of an energy barrier. This behavior is also observed in the slow Arrhenius process, which is responsible for equilibration mechanisms in both the liquid and glassy states. It is explained by the multiexcitation entropy model, suggesting the involvement of multiple low-energy local excitations in overcoming large energy barriers.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Mechanics
Zhifeng Hu, Fuqiang Chu, Xiaomin Wu, Alfonso M. Ganan-Calvo
Summary: Superhydrophobic surfaces with different shapes and sizes of ridges were investigated for their maximum axial spreading of impacting droplets. A mathematical formula was proposed to describe the shape of the structures using a shape factor for easy application in structure-related studies. The effects of ridge shape and size on the maximum axial spreading coefficient were clarified. The outward flow of liquid above the ridge tip hindered the axial spreading of droplets, and the maximum axial spreading coefficient decreased as the ridge became sharper, achieved by increasing the shape factor or the ridge height-width ratio. The complex effect of the ridge-droplet size ratio was divided into two regimes based on the shape factor. A prediction correlation for the maximum axial spreading coefficient was established, considering the coupled effects of all parameters, and shown to agree well with experimental and simulation results.
Article
Business
Julia Brennecke, Gokhan Ertug, Tom Elfring
Summary: Growing interest in network dynamics has led to insights about patterns of network change, drivers of tie formation, and the temporal unfolding of the consequences of networks. To this area of inquiry, we introduce networking speed-the time that it takes for individuals to form a network tie-as an important but so far largely overlooked aspect. We discuss how such variation in the speed with which ties have been formed influences relational outcomes and the network returns that these ties generate. This discussion illustrates that high networking speed can entail advantages as well as pitfalls. We also explore temporal implications of networking speed-for instance, the persistence of the effects of speed over time. Overall, we conceptualize networking speed as a constitutive element of how interpersonal networks function in professional settings, and we propose a future research program for the integration of this novel concept into organizational network research.
JOURNAL OF MANAGEMENT
(2022)
Article
Computer Science, Hardware & Architecture
Nahideh Derakhshanfard, Reza Soltani
Summary: Multi-hop wireless networks consist of nodes that route data by forwarding it to other nodes, without relying on pre-built infrastructures. Opportunistic routing dynamically creates paths based on wireless link conditions, but faces challenges such as node mobility, limited energy, and network traffic. The proposed bitmap-based approach improves packet delivery efficiency compared to traditional methods.
Article
Computer Science, Artificial Intelligence
Teng Fu, Guido Zampieri, David Hodgson, Claudio Angione, Yifeng Zeng
Summary: This study explores methods of predicting customer experience through analyzing phone call log data to improve service management quality. By combining latent tree modeling and multi-class Naive Bayes classification, various customer experiences can be inferred and their predictability tested based on current data sampling strategies.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2021)
Article
Mathematics, Applied
Przemyslaw Zielinski, Jan S. Hesthaven
Summary: This paper proposes a new method to encode the slow representation in multiscale stochastic systems using an artificial neural network. The method demonstrates the ability to discover a correct slow representation in several examples, and pruning the network can identify the essential coordinates of the system to build the slow representation.
JOURNAL OF NONLINEAR SCIENCE
(2022)
Article
Biodiversity Conservation
Joannes Guillemot, Nicolas K. Martin-StPaul, Leticia Bulascoschi, Lourens Poorter, Xavier Morin, Bruno X. Pinho, Guerric le Maire, Paulo R. L. Bittencourt, Rafael S. Oliveira, Frans Bongers, Rens Brouwer, Luciano Pereira, German Andres Gonzalez Melo, Coline C. F. Boonman, Kerry A. Brown, Bruno E. L. Cerabolini, Ulo Niinemets, Yusuke Onoda, Julio Schneider, Serge Sheremetiev, Pedro H. S. Brancalion
Summary: Understanding how evolutionary history and trait trade-off axes shape the drought tolerance of trees is crucial for predicting forest dynamics under climate change. This study compiled traits related to drought tolerance in tropical woody species, finding that xylem resistance to embolism and leaf turgor loss point determine the risk of hydraulic failure, with leaf phosphorus concentration also playing a role. The results suggest that drought tolerance is under strong selective pressure in tropical forests and is coordinated with ecological strategies governing forest demography.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Ecology
Fatih Sivrikaya, Omer Kucuk
Summary: This study proposed an integrated approach to generating a forest fire risk map, which was validated in the eastern Mediterranean region of Turkey. The findings showed that the study area is highly prone to forest fires, and the accuracy of the fire risk map was high and reliable. This will assist decision makers in taking necessary precautions to minimize fire damage.
ECOLOGICAL INFORMATICS
(2022)
Article
Multidisciplinary Sciences
Julia Rahman, M. A. Hakim Newton, Md Khaled Ben Islam, Abdul Sattar
Summary: In this paper, a deep learning model called the scrutinised distance predictor (SDP) is proposed for accurate prediction of inter-residue distances in protein structures. By reducing the types of features used and improving prediction accuracy, the SDP method outperforms existing state-of-the-art methods on benchmark proteins.
SCIENTIFIC REPORTS
(2022)
Article
Mechanics
A. L. Kupershtokh, D. A. Medvedev, A. V. Alyanov
Summary: This article studies the cooling of a solid surface through the evaporation of a dielectric liquid film and the influence of an electric field on this process. The results show that a uniform electric field slightly enhances the cooling, while a non-uniform electric field leads to film rupture and affects heat transfer. Experimental evidence demonstrates that switching off the electric field before film rupture can prevent the formation of dry spots. Thus, the application of pulsed non-uniform electric field on a thin film of dielectric liquid placed at the surface offers a possibility for enhanced cooling of local regions.
Article
Multidisciplinary Sciences
Fatimah Abdul Razak, Zamira Hasanah Zamzuri
Summary: Malaysia is a multi-ethnic and diverse country with policies and social distancing measures based on daily infection data and R0. Models used to predict COVID-19 spread often assume homogeneity and symmetrical mixing, failing to capture super-spreading events caused by heterogeneity.
Article
Computer Science, Interdisciplinary Applications
Jingxiang Liu, Guoqing Mu, Junghui Chen
Summary: Establishing efficient monitoring models for complex batch processes is challenging due to the 3-D data array and serious dynamics. Existing methods often destroy the batch data structure and increase data dimensions. This research proposes a novel high-order tensor slow feature analysis model to simultaneously handle the 3-D and dynamical issues. The model tackles two sub-optimal problems iteratively and performs within-batch detection based on monitoring statistics, considering the multi-phase property for improved accuracy. Simulated and industrial cases demonstrate the merits of the proposed method.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Stoyan Kurtev
Summary: Data from eight numerosity estimation experiments show wave-like patterns in response time standard deviations, potentially analogized to energy and position of quantum particles. The proposal of causal influences from quantum phenomena to human behavior is exemplified by the phenomenon of magnetoreception in some bird species.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Mathematical
Romualdo Pastor-Satorras, Claudio Castellano
JOURNAL OF STATISTICAL PHYSICS
(2018)
Article
Physics, Multidisciplinary
M. Carmen Miguel, Jack T. Parley, Romualdo Pastor-Satorras
PHYSICAL REVIEW LETTERS
(2018)
Article
Physics, Multidisciplinary
Antoine Moinet, Michele Starnini, Romualdo Pastor-Satorras
NEW JOURNAL OF PHYSICS
(2019)
Article
Mathematics, Interdisciplinary Applications
Wesley Cota, Silvio C. Ferreira, Romualdo Pastor-Satorras, Michele Starnini
Article
Physics, Multidisciplinary
Claudio Castellano, Romualdo Pastor-Satorras
Article
Physics, Multidisciplinary
Pau Clusella, M. Carmen Miguel, Romualdo Pastor-Satorras
Summary: The study focuses on the death and restoration of collective oscillations in networks of oscillators coupled by random-walk diffusion, showing that diffusion-induced heterogeneity can stabilize initially unstable fixed points and restore oscillations through increasing coupling strength. The findings are relevant in epidemic spreading or ecological dispersion fields, highlighting the importance of combining local reaction with diffusion mechanisms to understand emergent dynamics.
COMMUNICATIONS PHYSICS
(2021)
Article
Mathematics, Applied
Pau Clusella, Romualdo Pastor-Satorras
Summary: This paper generalizes the Vicsek model and studies new multiplicative models, as well as angular probability density functions of noise terms, to find that the characteristics of phase transitions of SPPs' global interactions depend on the choice of noise distribution.
Article
Physics, Fluids & Plasmas
Jaume Ojer, Romualdo Pastor-Satorras
Summary: This study investigates the impact of animal social networks with a weighted pattern of interactions on the flocking transition in models of self-organized collective motion. The results show that the presence of weights decreases the value of the flocking threshold and increases the fragility of the flocking state. The heterogeneity of the weight pattern influences the shift in the threshold.
Article
Physics, Fluids & Plasmas
Lorenzo Cirigliano, Giulio Cimini, Romualdo Pastor-Satorras, Claudio Castellano
Summary: Percolation on networks is a common framework for modeling various processes, and cumulative merging percolation (CMP) is a long-range percolation process where the clusters formed do not coincide with the topologically connected components of the network. This study develops a more general formulation of CMP, showing a richer phase transition scenario.
Article
Physics, Fluids & Plasmas
Alfredo De Bellis, Romualdo Pastor-Satorras, Claudio Castellano
Summary: This study investigates the significance of initial seed location in epidemic dynamics and proposes three indicators of spreading influence, showing their dependence on the initial node. The results demonstrate a good agreement between experiments and numerical simulations, indicating the effectiveness of the theoretical approach on real-world topologies.
Article
Physics, Fluids & Plasmas
M-Carmen Miguel, Romualdo Pastor-Satorras
Article
Physics, Multidisciplinary
Diogo H. Silva, Silvio C. Ferreira, Wesley Cota, Romualdo Pastor-Satorras, Claudio Castellano
PHYSICAL REVIEW RESEARCH
(2019)
Article
Physics, Fluids & Plasmas
Antoine Moinet, Alain Barrat, Romualdo Pastor-Satorras
Article
Physics, Fluids & Plasmas
Antoine Moinet, Romualdo Pastor-Satorras, Alain Barrat
Article
Physics, Fluids & Plasmas
Claudio Castellano, Romualdo Pastor-Satorras