Article
Physics, Fluids & Plasmas
Chunhua Zhang, Hong Liang, Zhaoli Guo, Lian-Ping Wang
Summary: In this paper, two discrete unified gas-kinetic scheme (DUGKS) methods with piecewise-parabolic flux reconstruction are proposed for the conservative Allen-Cahn equation (CACE). The accuracy of these methods is validated by comparing them with the DUGKS method with linear flux reconstruction scheme. Numerical results show that the proposed DUGKS methods have improved accuracy compared with the linear flux reconstruction scheme.
Article
Mathematics, Applied
Nicholas M. Ercolani, Jonathan Ramalheira-Tsu
Summary: This paper introduces the ghost-box-ball system, aiming to connect Schensted insertion with the dynamical process of the box-ball system, exploring generalizations and analyzing its relationship to the underlying dynamical evolution.
PHYSICA D-NONLINEAR PHENOMENA
(2021)
Article
Engineering, Electrical & Electronic
Nguyen Mai Hoang Long, Wan-Young Chung
Summary: A wearable system named WrisTee has been developed for remote health monitoring by tracking vital signs on the wrist. It allows users to measure 12 photoplethysmogram (PPG) signals and provides a unified viewpoint regarding their differences. By proposing a method to select the optimal wavelength, the system minimizes storage requirements and computational costs. Experimental results demonstrate the feasibility of the proposed method and the accuracy of a convolutional neural network for PPG-phase classification.
IEEE PHOTONICS JOURNAL
(2022)
Review
Energy & Fuels
Prathibha Pillai, Moumita Maiti, Ajay Mandal
Summary: Ionic liquids are a promising new material for various industrial applications due to their unique structures and properties. This paper reviews the previous research on the application of ionic liquids in the petroleum industry and related processes, including enhanced oil recovery, drilling fluids, gas hydrate, CO2 capture, and flow assurance. The in-depth discussion aims to aid professionals and researchers in understanding the current situation and planning for the future.
Article
Chemistry, Physical
Youyuan Zhu, Yijun Bai, Hao Dong, Wei Wang
Summary: This study investigates the effects of interparticle interactions on self-assembly by designing isotropic double-well potentials and controlling the depth and location of the wells and the height of the barriers. The research identifies five aggregation patterns at different temperatures and eight kinds of crystals, including Frank-Kasper phases.
PHYSICAL CHEMISTRY CHEMICAL PHYSICS
(2022)
Article
Mechanics
Hiroshi Frusawa
Summary: A new unified self-consistent equation is presented in this paper, which explains the apparent diversity of previous forms and proves the equivalence of various self-consistent equations by combining traditional density functional theory and statistical field theory. Through a hybrid method, a novel form of grand-potential density function is derived, providing a unified self-consistent equation for equilibrium density.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2021)
Article
Optics
Oscar Cespedes Vicente, Christophe Caloz
Summary: This paper presents a unified and extended perspective of Bessel beams, allowing for the description, calculation, and implementation of all types of Bessel beams and establishing useful mathematical relationships. The research results can be applied in various fields such as spectroscopy, microscopy, and optical/quantum force manipulations.
Article
Robotics
Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
Summary: Movement Primitives (MPs) are a well-known concept for representing and generating modular trajectories. There are two types of MPs: dynamics-based approaches that generate smooth trajectories, such as Dynamic Movement Primitives (DMPs), and probabilistic approaches that capture higher-order statistics, such as Probabilistic Movement Primitives (ProMPs). However, there is currently no unified MP method that can generate smooth trajectories while capturing higher-order statistics.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Environmental Sciences
Edward B. Overton, Puspa L. Adhikari, Jagos R. Radovic, Uta Passow
Summary: The initial bulk and compound specific composition of the liquid oil spilled during the Deepwater Horizon disaster and the changes in its composition due to weathering are described in this paper. The study highlights the different types of hydrocarbon compounds and their levels of degradation in various environmental compartments.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Francesco Saliu, Marina Lasagni, Massimiliano Clemenza, Irina Chubarenko, Elena Esiukova, Giuseppe Suaria
Summary: Plastic and oil pollution, caused by our dependence on petroleum derivatives, have negatively impacted marine ecosystems. Agglomerated mixtures of tar, plastic, and other petroleum derivatives with natural materials have become increasingly common in coastal environments, serving as a visible symbol of environmental degradation. However, current studies on these aggregates lack chemical identification and focus mainly on materials stranded on coastlines, with limited information about the open sea.
MARINE POLLUTION BULLETIN
(2023)
Article
Multidisciplinary Sciences
Yuan-Kai Liu, Zachary E. Ross, Elizabeth S. Cochran, Nadia Lapusta
Summary: New research shows that the creep rate along the San Andreas Fault is directly proportional to the fraction of nonclustered earthquakes, providing a unified perspective of earthquake phenomenology. This has implications for seismic hazard assessment and suggests that the central segment of the fault should be characterized as a transition zone.
Review
Neurosciences
Giacomo Novembre, Gian Domenico Iannetti
Summary: Survival in natural environments requires animals to exhibit Reactive Adaptive Behaviour (RAB), which includes corticomuscular resonance, stimulus locked response, online motor correction, and action stopping. Remarkable similarities exist across these four types of RAB, suggesting they may be subserved by the same neural mechanism.
PROGRESS IN NEUROBIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Xiangming Meng, Lei Zhang, Chao Wang, Lei Wang, Yiqun Wu, Yan Chen, Wenjin Wang
Summary: NOMA on shared resources is a promising technology in 5G for improving resource efficiency and supporting massive access in various transmission modes. Different algorithms for multi-user detection have been proposed to balance performance and complexity, with a unified perspective on various NOMA MUD algorithms provided in this paper. This unified perspective not only helps in designing and adapting NOMA receivers, but also enables systematic design of joint active user detection and multi-user decoding for sporadic grant-free transmission.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Mechanics
Longkun Lu, Zhanli Liu, Zhuo Zhuang
Summary: This paper explains the Griffith framework of elastic materials from two different perspectives, leading to two generalized frameworks suitable for crack growth in elastic-plastic materials. The paper explores four aspects of crack growth and provides new viewpoints and explanations, as well as presenting the physical meanings of incremental J-integrals. Additionally, a conventional continuum model for cracked bodies is proposed to simplify theoretical analyses involving fracture process zones.
ENGINEERING FRACTURE MECHANICS
(2021)
Article
Mathematics, Applied
Mehdi Dehghan, Zeinab Gharibi
Summary: This paper discusses the importance of wormhole propagation in petroleum engineering and utilizes a fully mixed virtual element method to discretize the problem, proving the stability, existence, and uniqueness of the solution. The study also achieves unconditionally optimal error estimates for various equations and presents numerical experiments to support theoretical analysis and practical applicability.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2022)
