Article
Chemistry, Physical
Jinwei Yan, Ondrej Toth, Wan Xu, Xiao-Di Liu, Eugene Gregoryanz, Philip Dalladay-Simpson, Zeming Qi, Shiyu Xie, Federico Gorelli, Roman Martonak, Mario Santoro
Summary: Research has shown that under high pressure, the polymer structure formed by carbon disulfide undergoes complex evolution, including the increase in C4/C3 ratio, partial reversion of structure, and partial disproportionation reaction.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Multidisciplinary Sciences
Yuta Yasui, Masataka Tansho, Kotaro Fujii, Yuichi Sakuda, Atsushi Goto, Shinobu Ohki, Yuuki Mogami, Takahiro Iijima, Shintaro Kobayashi, Shogo Kawaguchi, Keiichi Osaka, Kazutaka Ikeda, Toshiya Otomo, Masatomo Yashima
Summary: This study used resonant X-ray diffraction and nuclear magnetic resonance techniques to reveal the hidden Mo/Nb chemical order in the disordered hexagonal perovskite Ba7Nb4MoO20, with Mo atoms predominantly localized near the ion-conducting layer. The findings provide a basis for the development of ion conductors and offer a new avenue for investigating hidden chemical order/disorder in materials.
NATURE COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Francisco Souza, Cristiano Premebida, Rui Araujo
Summary: This paper presents a novel feature selection method based on conditional mutual information. The method incorporates high order dependencies into the feature selection process and speeds up the process through a greedy search procedure. Experimental results show that the proposed method outperforms other algorithms in terms of accuracy and speed.
PATTERN RECOGNITION
(2022)
Article
Thermodynamics
Min Lei, Chaoran Jiang, Fubao Yang, Jun Wang, Jiping Huang
Summary: In this study, a novel programmable all-thermal encoding strategy is proposed, which utilizes macroscopic conductive heat for digital encoding under purely thermal fields. Switchable cloak-concentrator metadevices are used to distinguish and modulate binary signals, and temperature-responsive phase change materials are employed to make the encoding operation programmable. This scheme presents a practical paradigm for all-thermal logical metadevices and opens up new avenues for implementing modern information technologies in ubiquitous diffusion systems.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Chemistry, Physical
Celeste L. Melamed, Moira K. Miller, Jacob Cordell, Linda Pucurimay, Alyssa Livingood, Rekha R. Schnepf, Jie Pan, Karen N. Heinselman, Fernando D. Vila, Allison Mis, Dennis Nordlund, Ben Levy-Wendt, Stephan Lany, Eric S. Toberer, Steven T. Christensen, Adele C. Tamboli
Summary: This study demonstrates that short-range ordering can tune the optical absorption edge in the long-range disordered alloy system (ZnSnN2)1-x(ZnO)2x at x=0.25. Using combinatorial cosputtering, a set of thin-film samples spanning this alloy space is synthesized. X-ray diffraction confirms the synthesis of a mixed-anion and -cation alloy. X-ray absorption analysis and spectroscopic ellipsometry reveal that local ordering increases the absorption edge energy at constant composition. This work opens up possibilities for property tuning with short-range ordering in (ZnSnN2)1-x(ZnO)2x and similar materials.
CHEMISTRY OF MATERIALS
(2022)
Article
Psychology, Educational
Zheng Liu, Jiahui Wen, Yikang Liu, Chuan-peng Hu
Summary: Background information that is personally relevant is difficult to ignore and forget, making it valuable for educational practice. Self-referential encoding techniques, which involve incorporating cues related to oneself during the learning process, have shown positive effects on learning. This meta-analysis study aims to quantitatively synthesize the results from previous research on the use of self-referential encoding techniques in education.
BRITISH JOURNAL OF EDUCATIONAL PSYCHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Patrick Louis Rohrer, Julia Florit-Pons, Ingrid Vila-Gimenez, Pilar Prieto
Summary: Recent studies have shown that non-referential gestures are used to mark new or accessible referents and focused information in adult speech. However, little is known about the relationship between information structure and gesture referentiality in children's narrative speech. This study analyzed 332 narratives from 83 children at two different time points and found that both referential and non-referential gestures were used more with information that moves discourse forward and predication. Children aged 7-9 tended to use more non-referential gestures for marking focus and comment constituents. Non-referential gestures seem to play a key role in marking the newness of discourse referents, particularly at 5-6 years old and 7-9 years old.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Zhijing Yang, Shujian Lai, Xiaobin Hong, Yukai Shi, Yongqiang Cheng, Chunmei Qing
Summary: This study proposes a double-order knowledge fusion and attentional encoding network for texture recognition. The network encodes crucial texture features using an embedded attention mechanism and utilizes double-order modeling to make full use of convolution feature information with different orders. Experimental results demonstrate that the proposed method outperforms competing approaches on several benchmark datasets.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Kyle Reing, Greg Ver Steeg, Aram Galstyan
Summary: This paper introduces a new approach to information decomposition called Neural Information Decomposition (NID), which shows promising results in distinguishing higher-order functions from noise on synthetic data. NID proves to be more effective compared to other unsupervised probability models.
Review
Plant Sciences
Claudia Allan, Richard J. Morris, Claudia-Nicole Meisrimler
Summary: This review discusses recent technological advances and computational frameworks for studying the specificity of calcium signaling in plant cells. Calcium plays a role in signal and information transmission in all eukaryotes, and there are various mechanisms and proteins involved in the encoding, transmission, and decoding of calcium signals. Recent developments in imaging technology and genetically encoded sensors have provided new insights into intra- and intercellular calcium signaling. The review highlights the current gaps in understanding and proposes techniques and approaches for unraveling the underlying mechanisms.
JOURNAL OF EXPERIMENTAL BOTANY
(2022)
Article
Optics
Jiancun Zhao, Xiaochang Yu, Kui Zhou, Wei Zhang, Weizheng Yuan, Yiting Yu
Summary: The researchers proposed elliptical nanostructure arrays as the basic building blocks for polarization-sensitive subtractive structural colors, achieving a wide color gamut covering the entire CMY color system and exhibiting a strong dependence on the incident polarization state. By combining with polarization-independent nanostructures, they successfully improved the information encoding capacity.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Chemistry, Physical
Xi-Zheng Fan, Qing-Qing Pang, Sha-Sha Yi, Xin Du, Shuo Zhang, Zhong-Yi Liu, Xin-Zheng Yue
Summary: This study presents a simple approach to synthesize N-doped carbon electrocatalyst for OER, which shows remarkable performance in alkaline medium.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2021)
Article
Mathematics, Interdisciplinary Applications
L. F. Avalos-Ruiz, C. J. Zuniga-Aguilar, J. F. Gomez-Aguilar, H. M. Cortes-Campos, J. E. Lavin-Delgado
Summary: This paper presents a controller-based synchronization scheme for chaotic maps of fractional variable-order. Through simulation results, the proposed scheme demonstrates successful synchronization of three different chaotic maps. The implementation on Arduino UNO boards showcases the relatively low algorithm complexity of the scheme. The paper also explores a potential application of the scheme in an RGB image encryption system, utilizing the chaotic behavior of the system for pseudo-random sequence generation.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Materials Science, Multidisciplinary
Aftab Alam
Summary: The study presents a formalism to calculate the configuration-averaged lattice thermal conductivity for substitutional random alloys and applies it to a realistic Au1-xFex binary alloy. By analyzing the effect of disorder scattering on phonon propagators and heat currents, important insights into lattice thermal conductivity are gained. The results indicate noticeable corrections due to disorder-induced effects compared to simple approximations, showing a quadratic behavior at low temperatures and characteristic properties at high temperatures for Au50Fe50 alloy.
Article
Optics
Tom Darras, Beate Elisabeth Asenbeck, Giovanni Guccione, Adrien Cavailles, Hanna Le Jeannic, Julien Laurat
Summary: Converter technology is crucial in both classical and quantum information fields for data exchange between digital and analogue formats. Efficient quantum interconnects are needed to bring together different quantum approaches, but the conversion between optical quantum-bit encodings has been challenging. This study demonstrates the conversion of quantum information between discrete- and continuous-variable qubits, providing a tool for interconnected quantum devices with enhanced versatility and scalability.
Article
Physics, Multidisciplinary
Jeremy D. Turiel, Tomaso Aste
Summary: Flash crashes in financial markets have attracted attention from regulators, market makers, and the media. This study investigates the systemic risk of co-crashes in high frequency trading and finds that large co-crashes are systemic in nature and differ from small ones. The study suggests that simultaneous withdrawals or movement of liquidity by HFTs, arbitrageurs, and market makers might trigger systemic effects and shock propagation.
Article
Economics
Valentina Macchiati, Giuseppe Brandi, Tiziana Di Matteo, Daniela Paolotti, Guido Caldarelli, Giulio Cimini
Summary: This study introduces a simple yet effective model of the interbank market where liquidity shortages propagate through a contagion mechanism on the network of interbank loans. The model utilizes aggregate balance sheet information of European banks and accounts for the heterogeneity of financial institutions. Results suggest that this contagion model is able to estimate systemic liquidity risk across different years and countries successfully, providing a viable alternative to more complicated models.
JOURNAL OF ECONOMIC INTERACTION AND COORDINATION
(2022)
Article
Physics, Multidisciplinary
Carlos Saenz de Pipaon Perez, Andrea Zaccaria, Tiziana Di Matteo
Summary: This paper introduces an asymmetric definition of relatedness and applies it to a database that integrates the export of physical goods with the export of services. The study finds that the underlying influence structure of the system leads to the formation of intuitively-related clusters of economic sectors in the network, and to a relatively strong assortative mixing of sectors according to their complexity.
Article
Multidisciplinary Sciences
Vittoria Volta, Tomaso Aste
Summary: This study investigates the high-frequency reactions in the Eurozone and UK stock markets during the time period surrounding the interest rate decisions of the ECB and BoE. The effects are assessed by quantifying linear and nonlinear transfer entropy, combined with bivariate empirical mode decomposition. The findings reveal that central bank interest rate decisions lead to an increase in intraday volatility, particularly on ECB announcement days, and there is significant information flow between the two markets, predominantly from the market where the announcement is made to the other market.
ROYAL SOCIETY OPEN SCIENCE
(2022)
Editorial Material
Economics
Fabio Caccioli, Tiziana Di Matteo, Giulia Iori, Saqib Jafarey, Giacomo Livan, Simone Righi
JOURNAL OF ECONOMIC INTERACTION AND COORDINATION
(2022)
Article
Computer Science, Information Systems
Tomaso Aste
Summary: This paper introduces a novel methodology for topological regularization in multivariate probabilistic modeling using sparse, complex networks to represent the system's dependency structure. The methodology can be directly applied to covariance selection problems and multicollinear regression, demonstrating its applicability in sparse probabilistic modeling.
INFORMATION SCIENCES
(2022)
Article
Business, Finance
Giuseppe Brandi, T. Di Matteo
Summary: This paper examines the relationship between price multiscaling and volatility roughness, specifically the dependency between the multiscaling features of price time series and the Hurst exponent of the volatility process. Through simulation experiments and real data analysis, it is found that the rough volatility model can reproduce the multiscaling features of price time series when a low Hurst exponent is used, but the results are opposite to those of real data.
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS
(2022)
Article
Physics, Multidisciplinary
Jeremy Turiel, Paolo Barucca, Tomaso Aste
Summary: This paper introduces simplicial persistence, a measure of time evolution of motifs in networks obtained from correlation filtering. The research observes long memory in the evolution of structures, with a two power law decay regimes in the number of persistent simplicial complexes. Null models of the underlying time series are tested to investigate properties of the generative process and its evolutionary constraints. The study finds that the TMFG method can identify high order structures throughout the market sample, where thresholding methods fail. The decay exponents of these long memory processes are used to characterize financial markets based on their efficiency and liquidity, revealing that more liquid markets tend to have a slower persistence decay.
Article
Physics, Multidisciplinary
Antonio Briola, Tomaso Aste
Summary: This study investigates the correlation between logarithmic price returns of cryptocurrencies at different time horizons and explores the evolution of network structures. The results provide insights into the dynamic changes in the hierarchical reference role of mainstream cryptocurrencies.
Article
Business, Finance
Antonio Briola, David Vidal-Tomas, Yuanrong Wang, Tomaso Aste
Summary: We quantitatively describe the main events that led to the Terra project's failure in May 2022. First, we systematically review news from heterogeneous social media sources and discuss the fragility of the Terra project and its dependency on the Anchor protocol. Then, we identify the trigger events for the crash by analyzing hourly and transaction data for Bitcoin, Luna, and TerraUSD. Finally, we use state-of-the-art techniques from network science to study the evolution of dependency structures for 61 highly capitalized cryptocurrencies during the down-market and highlight the absence of herding behavior by analyzing cross-sectional absolute deviation of returns.
FINANCE RESEARCH LETTERS
(2023)
Article
Social Issues
Boris Podobnik, Marina Dabic, Dorian Wild, Tiziana Di Matteo
Summary: Researchers have not come to a consensus on the performance difference between STEM and non-STEM firms, as well as the contribution of STEM or non-STEM education to economic inequality. By analyzing wealth inequality at various scales, it is found that wealth inequality increases as the system size grows. At an individual level, STEM education contributes more to inequality. At a firm level, STEM constituents in the S&P 500 index have shown significantly higher growth rates compared to non-STEM constituents during economic expansion and the coronavirus pandemic.
TECHNOLOGY IN SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Yuanrong Wang, Tomaso Aste
Summary: This paper proposes a method using the Inverse Covariance Clustering (ICC) method to identify market states and integrate them into a dynamic portfolio optimization process. Extensive experiments demonstrate the advantages of this algorithm in three different markets over ten years.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Economics
M. Raddant, T. Di Matteo
Summary: This review examines the research efforts in merging econophysics and financial economics in the study of financial dependencies over the past few years. The focus is on the most relevant contributions, particularly correlational studies, which benefit researchers in both fields. In econophysics, financial markets can be modeled as evolving complex networks to describe these dependencies. In financial economics, the dependencies can describe asset comovement and spill-overs, and various models are presented to relate network and factor model approaches to multivariate volatility and asset returns modeling, respectively. The review also discusses the future research implications and the contribution to a stronger common language in both fields.
JOURNAL OF ECONOMIC INTERACTION AND COORDINATION
(2023)
Article
Mathematics, Interdisciplinary Applications
Isobel Seabrook, Fabio Caccioli, Tomaso Aste
Summary: This article presents a novel methodology for quantifying the impact and response of market shocks, using a sparse probabilistic elliptical model for the multivariate return distribution of the market. The study finds that the shock patterns are related to the sparse structure of the inverse covariance of stock log-returns, and observes changes in the shock patterns during times of crisis.
JOURNAL OF PHYSICS-COMPLEXITY
(2022)
Article
Business, Finance
Giuseppe Brandi, T. Di Matteo
Summary: Research on scaling analysis in finance is vast and still flourishing. The study introduces a novel statistical procedure and a new tool to estimate and test the multiscaling property, validated numerically on simulated time series and applied to real financial data. By combining the statistical procedure with robustly estimated multiscaling exponents, the proposed MSVaR methodology shows promising results in forecasting VaR for stocks.
EUROPEAN JOURNAL OF FINANCE
(2022)
Article
Materials Science, Multidisciplinary
Nizar Lefi, Salem Neily, Roland Bonnet
Summary: This paper investigates the elastic field in a bi-material crystal with an angular dislocation line with one branch placed in the crystal and the other along a strongly bound or welded interface. The analysis formulates the elastic field of a closed dislocation loop and solves it using the knowledge of the Green's tensor of the bi-material. The study provides a faster calculation method and has important implications for solving interfacial angular dislocation problems.
PHILOSOPHICAL MAGAZINE
(2024)
