Article
Physics, Multidisciplinary
Omid Kharazmi, Faezeh Shirazinia, Francesco Buono, Maria Longobardi
Summary: The paper introduces the Jensen-inaccuracy measure and examines its properties. The connections between inaccuracy and Jensen-inaccuracy measures and other well-known information measures are discussed. The study also shows that the arithmetic mixture distribution provides optimal information based on the inaccuracy information measure in three different optimization problems. Additionally, two real examples from image processing are studied and numerical results of the inaccuracy and Jensen-inaccuracy information measures are obtained.
Article
Physics, Multidisciplinary
Ata Assaf, Mehmet Huseyin Bilgin, Ender Demir
Summary: This paper quantifies information flows between Bitcoin, Ethereum, and Ripple using transfer entropy and Renyi transfer entropy, finding bidirectional information transmission between Bitcoin and Ripple, and only one directional transmission from Ripple to Ethereum. There is no nonlinear information transmission, indicating linear dependency among the three cryptocurrencies. Information transmission mostly occurs before the cryptocurrency crash, and a significant flow is observed from Bitcoin to Ripple.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Physics, Multidisciplinary
Juan Lopez-Sauceda, Philipp von Bulow, Carlos Ortega-Laurel, Francisco Perez-Martinez, Kalina Miranda-Perkins, Jose Gerardo Carrillo-Gonzalez
Summary: In this paper, a quantitative method is introduced to determine informational entropy by comparing spatial differences in heterogeneity between simulation and experimental samples. The levels of informational entropy are established using statistical insights, which unveil general principles of biological organization.
Article
Physics, Fluids & Plasmas
Claudia L. Clarke, Ian J. Ford
Summary: In this study, dissipation production in a quantum system is discussed. A simple, deterministic, two-level quantum system characterized by a statistical ensemble of state vectors is considered, and numerical results are provided to illustrate the ideas. Cases that both do and do not satisfy an Evans-Searles Fluctuation Theorem for the dissipation production are considered, identifying conditions under which the system displays time-asymmetric average behavior: an arrow of time.
Article
Physics, Multidisciplinary
Sudheesh Kumar Kattumannil, E. P. Sreedevi, Narayanaswamy Balakrishnan
Summary: In this paper, a generalized measure of cumulative residual entropy is introduced and its properties are studied. Relationships between different measures of entropy and extropy are established.
Article
Computer Science, Artificial Intelligence
Xiaozhuan Gao, Lipeng Pan, Yong Deng
Summary: This paper introduces the Dempster-Shafer (D-S) evidence theory and proposes new measures of cross entropy and similarity based on mass functions, with discussions on their rationality and effectiveness.
APPLIED INTELLIGENCE
(2022)
Article
Physics, Multidisciplinary
Sangun Park
Summary: This paper explores representations of various information measures using hazard functions and reverse hazard functions. Additionally, estimators for quantal KL information, such as the Anderson-Darling test statistic, are provided and their performances are compared.
Article
Mathematics
Orlando Duran, Gustavo Saez, Paulo Duran
Summary: Resilience is a crucial quality in systems, allowing them to deal with disruptive events. However, measuring and quantifying resilience remains a challenge. This study explores the use of moment statistics and negentropy as potential indicators of resilience for engineering systems and production lines.
Article
Physics, Multidisciplinary
Stanislaw Jerzy Niepostyn, Wiktor Bohdan Daszczuk
Summary: In building software architectures, the relationships between elements in different diagrams are often ignored. The initial stage of constructing IT systems involves using ontology terminology instead of software terminology in the requirements engineering process. However, during the construction of software architecture, IT architects introduce elements representing the same classifier on different diagrams, usually with similar names. These connections, known as consistency rules, are not typically incorporated in modeling tools. It has been mathematically proven that the application of consistency rules can enhance the information content of software architecture. This article demonstrates that leveraging consistency rules can also improve the readability and ordering of software architecture based on mathematical rationale, as evidenced by a decrease in Shannon entropy.
Article
Business, Finance
Hailiang Zhang, Muhammad Atif Sattar, Haijun Wang
Summary: This study makes significant contributions to the existing literature on the concept of the degree of imperfection between markets and its evaluation model. The study expands upon the foundational framework and establishes that the degree of imperfection also applies within a market and can be operationalized in option markets. The empirical results reveal a positive association between the degree of imperfection and the absolute errors of call price, implied volatility, and uncertainty.
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE
(2024)
Article
Computer Science, Information Systems
Hui Zhang, Yong Deng
Summary: This paper presents a new method based on Deng entropy to measure the uncertainty of orderable sets, and demonstrates the efficiency and accuracy of the method through numerical examples.
INFORMATION SCIENCES
(2021)
Article
Engineering, Biomedical
Gorana Mijatovic, Yuri Antonacci, Tatjana Loncar-Turukalo, Ludovico Minati, Luca Faes
Summary: This study introduces an information-theoretic framework for model-free, continuous-time estimation of interactions between spike trains, demonstrating its accuracy for weakly coupled and short realizations compared to the standard discrete-time approach. By applying this framework to real-world data, it shows the ability to describe how functional networks between neuronal units emerge over time, providing more efficient and flexible measures for assessing spike train interactions in neuroscience.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Hujun He, Wei Li, Rui Xing, Yichen Zhao
Summary: This paper proposes a mathematical evaluation model of the overseas oil resources investment environment, which combines the weighting and uncertainty measure theory. The model is applied to evaluate the top 12 oil-producing countries in Africa and provides an effective method for evaluating the overseas petroleum investment environment.
Article
Computer Science, Artificial Intelligence
Dingbin Li, Yong Deng
Summary: This article proposes a new concept of information quality based on the information volume of Deng entropy and validates its effectiveness through several examples. In addition, a correlation coefficient is proposed based on this information quality, as well as a weight average fusion method.
APPLIED INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Fuad E. Alsaadi, Zidong Wang, Njud S. Alharbi, Yurong Liu, Naif D. Alotaibi
Summary: This paper develops a general framework of user-based collaborative filtering with a new p-moment-based similarity measure, which analyzes individual rating data to improve the performance of the CF algorithm. The proposed similarity measure with optimized weights provides more accurate user-based rating prediction.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Chunchun C. Ye, Rui Tan, Anqi Wang, Jie Chen, Bibiana Comesana Gandara, Charlotte Breakwell, Alberto Alvarez-Fernandez, Zhiyu Fan, Jiaqi Weng, C. Grazia Bezzu, Stefan Guldin, Nigel P. Brandon, Anthony R. Kucernak, Kim E. Jelfs, Neil B. McKeown, Qilei Song
Summary: Redox flow batteries (RFBs) based on aqueous organic electrolytes are a promising technology for large-scale electrical energy storage. Membrane separators are a key component in RFBs, and the molecular engineering of AO-PIM membranes can optimize membrane ion transport functions and enhance cycling stability when integrated with aqueous organic flow battery chemistries.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Polymer Science
Guillaume Pino, Cian Cummins, Daniele Mantione, Nils Demazy, Alberto Alvarez-Fernandez, Stefan Guldin, Guillaume Fleury, Georges Hadziioannou, Eric Cloutet, Cyril Brochon
Summary: Our study reports the synthesis of high chi value BCPs which enable sub-10 nm line-space structures for a low degree of polymerization. These BCPs are a valuable addition to the toolbox for next-generation nanomanufacturing needs.
Article
Chemistry, Multidisciplinary
Xindi Liu, Huayan Yang, Yuxiang Chen, Ye Yang, Lionel Porcar, Aurel Radulescu, Stefan Guldin, Rongchao Jin, Francesco Stellacci, Zhi Luo
Summary: In this study, small-angle neutron scattering (SANS) was used to quantify the structure parameters of silver and gold nanoclusters in solution, providing insights into the counterions layer and molecular weight. This alternative characterization tool offers a way to study nanoclusters without the need for crystallization or gas phase ionization.
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
(2022)
Article
Chemistry, Applied
Barry Reid, Ishaa Mane, Faizah Ahmed, Maximiliano Jara Fornerod, Mate Fueredi, Benjamin Schmidt-Hansberg, Alberto Alvarez-Fernandez, Stefan Guldin
Summary: This study provides a comprehensive investigation into the relationship between the porosity, material processing, and mechanical properties of mesoporous coatings. Various methods are explored to improve the scratch resistance and mechanical performance, with the introduction of organic chelating agents being particularly promising.
MICROPOROUS AND MESOPOROUS MATERIALS
(2022)
Review
Nanoscience & Nanotechnology
Jugal Suthar, Marissa Taub, Randy P. Carney, Gareth R. Williams, Stefan Guldin
Summary: Extracellular vesicles (EVs) are widely regarded as a valuable source of biomarkers for human health and disease. However, their small size and complexity present challenges for effective characterization. This has led to the development of novel EV biosensing techniques to overcome these limitations.
WILEY INTERDISCIPLINARY REVIEWS-NANOMEDICINE AND NANOBIOTECHNOLOGY
(2023)
Article
Nanoscience & Nanotechnology
Jugal Suthar, Alberto Alvarez-Fernandez, Alaric Taylor, Maximiliano J. Fornerod, Gareth R. Williams, Stefan Guldin
Summary: This study systematically investigates the application of inorganic inverse opals in 2D and 3D for enhanced QCM-D EV detection. Precise tuning of the architecture parameters achieved sensitive detection of EVs as low as 6.24×10^7 particles/mL.
ACS APPLIED NANO MATERIALS
(2022)
Article
Nanoscience & Nanotechnology
Maximiliano Jesus Jara Fornerod, Alberto Alvarez-Fernandez, Eric R. Williams, Maximilian W. A. Skoda, Beatriz Prieto-Simon, Nicolas H. Voelcker, Morgan Stefik, Marc-Olivier Coppens, Stefan Guldin
Summary: Mesoporous thin films are widely used for their high surface area and efficient mass and charge transport properties. A two-step calcination process can reduce film contraction and enhance structural control, resulting in mesoporous films with higher porosity and larger pores. These films exhibit favorable characteristics for mass transport of large molecules.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Chemistry, Multidisciplinary
Anqi Wang, Rui Tan, Dezhi Liu, Jiaxin Lu, Xiaochu Wei, Alberto Alvarez-Fernandez, Chunchun Ye, Charlotte Breakwell, Stefan Guldin, Anthony R. Kucernak, Kim E. Jelfs, Nigel P. Brandon, Neil B. McKeown, Qilei Song
Summary: Redox flow batteries (RFBs) show promise for grid-scale energy storage, but the performance of ion-conducting membranes used in RFBs needs improvement. This study developed high-performance RFB membranes using blends of carboxylate- and amidoxime-functionalized polymers, which exhibited both low ionic resistance and high selectivity towards redox-active species. The resulting microporous membranes demonstrated fast cation conduction and reduced crossover of redox-active molecules, leading to improved power ratings and reduced capacity fade in aqueous RFBs.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Physical
Mehzabin Patel, Seishi Shimizu, Martin A. Bates, Alberto Fernandez-Nieves, Stefan Guldin
Summary: The dynamics of long-term phase separation in binary liquid mixtures are studied by tracking the evolution of size, defect, and mesogen alignment in a binary liquid mixture with a confined liquid crystal-rich droplet. Visualizing the liquid crystal droplet configuration through polarisation microscopy, the research compares experimental findings with computational simulations and explains the differences between bulk phases and confined droplets based on the respective thermodynamics of phase separation. The work provides insights into how phase transitions on the microscale deviate from bulk phase diagrams and has relevance to other material systems.
Article
Chemistry, Physical
Jugal Suthar, Alberto Alvarez-Fernandez, Esther Osarfo-Mensah, Stefano Angioletti-Uberti, Gareth R. Williams, Stefan Guldin
Summary: Extracellular vesicles (EVs) are released from various cell types and contain biomolecular content for health and disease identification. However, the heterogeneity of EVs and complexity of biofluids pose challenges to current analytical approaches. This study explores nanostructuring the sensor electrode surface to enhance detection capabilities and achieves significant improvement.
NANOSCALE HORIZONS
(2023)
Article
Chemistry, Multidisciplinary
Mehzabin Patel, Alberto Alvarez-Fernandez, Maximiliano Jara Fornerod, Anand N. P. Radhakrishnan, Alaric Taylor, Singg Ten Chua, Silvia Vignolini, Benjamin Schmidt-Hansberg, Alexander Iles, Stefan Guldin
Summary: Porous polymeric microspheres were fabricated using a new approach based on temperature-induced droplet formation and light-induced polymerization. The microspheres were prepared by exploiting the partial miscibility of a liquid crystal mixture composed of 5CB and RM257 in MeOH. The resulting microparticles showed stimuli-responsive behavior, with repeated cycles of cooling and heating causing swelling and shrinking.
Meeting Abstract
Oncology
Jugal Suthar, Alaric Taylor, Philip Berry, Gareth Veal, Stefan Guldin
PEDIATRIC BLOOD & CANCER
(2022)
Meeting Abstract
Oncology
Lisa Pfaffenrath, Neil Ranasinghe, Alaric Taylor, Deirdre Leyden, Jo Ball, Neil Davidson, Gareth Veal, Stefan Guldin
PEDIATRIC BLOOD & CANCER
(2022)
Correction
Chemistry, Analytical
Jugal Suthar, Beatriz Prieto-Simon, Gareth R. Williams, Stefan Guldin
ANALYTICAL CHEMISTRY
(2022)
Article
Materials Science, Multidisciplinary
Clarissa L. G. Harman, Niamh Mac Fhionnlaoich, Aaron M. King, Joseph R. H. Manning, Wu Lin, Peter Scholes, Stefan Guldin, Gemma-Louise Davies
Summary: This study utilized a design of experiment approach to investigate the formation of SPION@SiO2 nanoparticles via reverse microemulsion, successfully achieving high yield synthesis with uniform silica shell thickness. Multiple linear regression analysis established a relationship between experimental variables and silica shell thickness, further revealing the impact of these variables on the monodispersity of SPION@SiO2 NPs.
MATERIALS ADVANCES
(2022)
