21 papers · ranked by Valyu relevance
Zhigang Shi, Yuting Bai, Xuebo Jin, Xiaoyi Wang + 6 more
'Jianlei Kong' 'David Cuesta-Frau' 'Zoran H. Peric' 'Vlado Delic' 'Vladimir Despotovic'] The prediction of time series is of great significance for rational planning and risk prevention. However, time series data in various natural and artificial systems are nonstationary and complex, which makes them difficult to…
Guoqiang Hu, Jinxing Wang, Ziyi Shui, Tianyang Wang + 5 more
In the rapidly advancing field of neuroscience, sophisticated imaging techniques such as functional magnetic resonance imaging (fMRI) enable detailed analysis of brain activity. Researchers increasingly seek to disentangle distinct brain states, recognizing that fMRI data typically comprise a mixture of these states.…
Yiqing Zhai, Ying Cui, Danny H. K. Tsang
Existing results on decomposition methods and algorithms for nonconvex problems are minimal. Parallel decomposition algorithms do not exist for nonconvex problems with coupling nonlinear equality constraints. Besides, decomposition structures (i.e., coupling variables and constraints) are not fully exploited in…
Érisson Rubens Araújo Freitas, André Hora, Marco Túlio Valente
Catalogs of refactoring have key importance in software maintenance and evolution, since developers rely on such documents to understand and perform refactoring operations. Furthermore, these catalogs constitute a reference guide for communication between practitioners since they standardize a common refactoring…
Tian Lu, Qinxue Chen
Energy decomposition analysis (EDA) is an important method to explore the nature of interaction between fragments in a chemical system. It can decompose the interaction energy into different physical components to understand the factors that play key roles in the interaction. This work proposes an energy decomposition…
Anna Vathrakokoili Pournara, Zhichao Miao, Ozgur Yilimaz Beker, Nadja Nolte + 2 more
Cell-type deconvolution methods aim to infer cell composition from bulk transcriptomic data. The proliferation of developed methods, coupled with inconsistent results obtained in many cases, highlights the pressing need for guidance in the selection of appropriate methods. Additionally, the growing accessibility of…
Hiori Kino, Dam Hieu, Takashi Miyake, Riichiro Mizoguchi
As interdisciplinary science is flourishing because of materials informatics and additional factors; a systematic way is required for expressing knowledge and facilitating communication between scientists in various fields. A function decomposition tree is such a representation, but domain scientists face difficulty in…
Xiaoyang Lyu, Chirui Chang, Peng Dai, Y.‐M. SUN + 1 more
Scene reconstruction from multi-view images is a fundamental problem in computer vision and graphics . Recently, neural implicit surface reconstruction methods such as VolSDF and NeuS have been proposed to address this problem and have achieved high- * Equal contribution. † Corresponding author. quality results.…
Khaled Sellami, Mohamed Aymen Saied
Monolith-to-Microservice Decomposition Authors: ['Khaled Sellami' 'Mohamed Aymen Saied'] As Monolithic applications evolve, they become increasingly difficult to maintain and improve, leading to scaling and organizational issues. The Microservices architecture, known for its modularity, flexibility and scalability…
Qingzhao Chu, Xiaoya Chang, Kang Ma, Xiaolong Fu + 1 more
A neural network potential (NNP) is developed to investigate the complex reaction dynamics of RDX thermal decomposition. Our NNP model is proven to possess good computational efficiency and retain the ab initio accuracy, which allows the investigation of the entire decomposition process of bulk RDX crystal from an…
Junbo Peng, Chih‐Wei Chang, Huiqiao Xie, Richard L. J. Qiu + 5 more
'Justin Roper' 'Tonghe Wang' 'Beth Bradshaw' 'Xiangyang Tang' 'Xiaofeng Yang'] Background: Dual-energy CT (DECT) and material decomposition play vital roles in quantitative medical imaging. However, the decomposition process may suffer from significant noise amplification, leading to severely degraded image…
Shunsuke Mieda
Methods for Simulating Depolymerization Reaction Authors: ['Shunsuke Mieda'] A chemical recycling process that reduces polymers to their raw materials plays a crucial role in circular economy. To contribute to chemical recycling, this study proposes a system that simulates the process of depolymerization from…
Gaziza M. Zhumanazarova, Akmaral Zh. Sarsenbekova, Lyazzat K. Abulyaissova, Irina V. Figurinene + 6 more
'Lyazzat K. Abulyaissova' 'Irina V. Figurinene' 'Rymgul K. Zhaslan' 'Almagul S. Makhmutova' 'Raissa K. Sotchenko' 'Gulzat M. Aikynbayeva' 'Jakub Hranicek' 'Giulio Malucelli'] This research presents the results of a combined numerical and experimental study of the thermal decomposition behavior of copolymers based on…
Giane Damas, Karl Rönnby, Henrik Pedersen, Lars Ojamäe
Indium nitride (InN) is an interesting material for future electronic and photonic-related applications, as it combines high electron mobility and low-energy band gap for photoabsorption or emission-driven processes. In this context, atomic layer deposition (ALD) techniques have been previously employed for InN growth…
Irene Mendez Guerra, Deren Y. Barsakcioglu, Dario Farina
Robustness to non-stationary conditions is essential to develop stable and accurate wearable neural interfaces. We propose a novel adaptive electromyography (EMG) decomposition algorithm that builds on blind source separation methods by leveraging the Kullback-Liebler divergence and kurtosis of the signals as metrics…
Amir Akbari, Zachary B. Haiman, Bernhard O. Palsson
Understanding the dynamics of biological systems in evolving environments is a challenge due to their scale and complexity. Here, we present a computational framework for timescale decomposition of biochemical reaction networks to distill essential patterns from their intricate dynamics. This approach identifies…
Daisuke Tadokoro, Tomoya Imai
Synthetic polymers, such as plastics, are ubiquitous materials that are used in many applications. The sustainable use of plastics is becoming increasingly important given the emergent issues of environmental pollution by microplastics and the limited resources of petroleum on Earth. One of the key strategies for the…
Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang + 2 more
'Yong Liu'] Recently, neural implicit surfaces have become popular for multi-view reconstruction. To facilitate practical applications like scene editing and manipulation, some works extend the framework with semantic masks input for the object-compositional reconstruction rather than the holistic perspective. Though…
Egheosa Ogbomo, Fakhrul H. Bhuiyan, Carlos Ayestaran Latorre, Ashlie Martini + 1 more
The growth of protective tribofilms from lubricant antiwear additives on rubbing surfaces is initiated by mechanochemical decomposition reactions. These processes are not well understood at the molecular scale for many important additives, such as tricresyl phosphate (TCP). One aspect that needs further clarification…
Ross R. Klauer, Mekhi Williams, Darien K. Nguyen, Megan Tarr + 3 more
Biological plastics deconstruction and upcycling have emerged as a sustainable alternative to traditional recycling technologies for plastics waste. The discovery and engineering of efficient thermostable poly(ethylene terephthalate) (PET) hydrolases has made biological PET recycling possible at scale; however, enzymes…
Siti Baidurah, Abdel-Hamid I. Mourad
Biodegradable polymers are materials that can decompose through the action of various environmental microorganisms, such as bacteria and fungi, to form water and carbon dioxide. The biodegradability characteristics have led to a growing demand for the accurate and precise determination of the degraded polymer…