Article
Computer Science, Theory & Methods
Anisha Kumari, Ranjan Kumar Behera, Bibudatta Sahoo, Satya Prakash Sahoo
Summary: This paper introduces a link prediction model called LP-CD to simulate network evolution. It leverages existing communities in the network for link prediction and uses global similarity measures to identify non-existing links in the future. Experimental results show that LP-CD outperforms other approaches for link prediction.
Article
Physics, Multidisciplinary
Zhongyuan Jiang, Xiaoke Tang, Yong Zeng, Jinku Li, Jianfeng Ma
Summary: This work introduces a link deception method from the attacker's perspective, aiming to enhance the prediction probability of given targets by adding a small number of new links. The research first defines the link deception process and proposes greedy and heuristic algorithms to efficiently achieve the deception goal.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
Summary: This paper introduces a high-accuracy community-preserving message passing scheme and corresponding training and optimization strategies for improving both link prediction and community detection tasks. The effectiveness of the proposed method is validated through experiments.
Article
Computer Science, Information Systems
Shunjie Yuan, Hefeng Zeng, Ziyang Zuo, Chao Wang
Summary: This study proposes an overlapping community detection method CDMG based on Graph Convolutional Networks (GCN) to maximize the Markov stability of community structure. Extensive experiments demonstrate the superiority of CDMG compared to other established community detection algorithms. The performance of CDMG can be further improved by utilizing the optimal Markov time, which is found using a trichotomy-based method based on the influence of Markov time on CDMG performance.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Adnan Zeb, Summaya Saif, Junde Chen, Anwar Ul Haq, Zhiguo Gong, Defu Zhang
Summary: This paper proposes a novel extension of graph convolutional networks (GCNs) called ComplexGCN, which combines the expressiveness of complex geometry with GCNs to improve the representation quality of knowledge graph components. The proposed model demonstrates enhanced performance compared to existing methods on link prediction tasks.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Fatemeh Karimi, Shahriar Lotfi, Habib Izadkhah
Summary: The research proposes a link prediction method CLPES for multiplex networks that utilizes community information along with internal features and a new external similarity metric to predict link formation probabilities, demonstrating its superiority through experiments.
JOURNAL OF INFORMETRICS
(2021)
Article
Environmental Studies
Mingxue Zhu, Xuanru Zhou, Hua Zhang, Lu Wang, Haoyu Sun
Summary: As an important non-metallic strategic mineral resource, boron plays a vital role in the development of national emerging strategic industries. The international demand and trade volume of boron ore are increasing yearly, with closer trade relations and higher efficiency. Turkey holds the absolute export initiative in the boron ore international trade, while China and the United States are major importers and European countries serve as important transit countries. The import competition of boron ore is intensifying and concentrated, mainly with Turkey as the common import source, and future competition may shift to Latin America and Africa.
Article
Computer Science, Information Systems
Zhe Chen, Aixin Sun, Xiaokui Xiao
Summary: The article introduces an incremental community detection framework inc-AGGMMR, which maps attributes into the network by constructing an augmented graph and balances the contribution between attribute and topological information through weight adjustment.
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
(2021)
Article
Physics, Multidisciplinary
Jiating Yu, Ling-Yun Wu
Summary: Link prediction is a classical problem in the field of complex networks, which is of great significance for understanding the evolution and dynamic development mechanisms of networks. This study proposes a novel method called MOLI, which utilizes local information from neighbors at different distances and defines a local network diffusion process via random walks on the graph, achieving better utilization of network information. The results show that MOLI outperforms other widely used link prediction methods on different types of networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Automation & Control Systems
Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, Witold Pedrycz, Unil Yun, Bay Vo
Summary: This study introduces a novel dynamic network representation learning model called ComGCN, which can effectively handle the link prediction problem. The model combines node embedding and intracommunity features, demonstrating superior performance compared to recent state-of-the-art baselines on real-world dynamic networks.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Anwar Said, Muhammad Umar Janjua, Saeed-Ul Hassan, Zeeshan Muzammal, Tania Saleem, Tipajin Thaipisutikul, Suppawong Tuarob, Raheel Nawaz
Summary: This paper presents a Detailed Analysis of the Ethereum Network on Transaction Behavior, Community Structure, and Link Prediction (DANET) framework, investigating various valuable aspects of the Ethereum network. The study explores the change in wealth distribution and accumulation on the Ethereum Featured Transactional Network (EFTN) and employs state-of-the-art Variational Graph Auto-Encoders for link predictability, demonstrating outstanding prediction accuracy on Ethereum networks. Visualized and summarized statistic usages of the Ethereum network in experiments allow for conjectures on current use and future development of this technology.
PEERJ COMPUTER SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Chaobo He, Junwei Cheng, Xiang Fei, Yu Weng, Yulong Zheng, Yong Tang
Summary: Link prediction in attributed networks is challenging due to the need to effectively utilize community structure and attribute information. In this paper, we propose a novel CPAGCN method that combines AGCN and MLP to tackle this task. CPAGCN outperforms several strong competitors in link prediction, as demonstrated by extensive experiments on six real-world attributed networks.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Physics, Applied
Zhihua Liu, Hongmei Wang, Guishen Wang, Zhenjun Guo, Yu Zhou
Summary: This paper introduces a new link community detection method called NPLCE, which combines network pruning and local community expansion. Experimental results demonstrate the algorithm's performance in terms of accuracy on several real-world networks.
MODERN PHYSICS LETTERS B
(2021)
Article
Computer Science, Artificial Intelligence
Xiao Fu, Eugene Seo, Justin Clarke, Rebecca A. Hutchinson
Summary: This paper proposes a customized framework for ecological network link prediction by combining the Poisson N-mixture model with probabilistic nonnegative matrix factorization. The experimental results validate the effectiveness and reliability of this method on synthetic and real-world data.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2021)
Article
Computer Science, Hardware & Architecture
Zhiwei Zhang, Lin Cui, Jia Wu
Summary: This paper proposes a graph neural network model EdgeConvNorm for link prediction, focusing on link representation learning. By introducing edge convolution operation and normalization strategy, EdgeConvNorm successfully alleviates the over-smoothing problem and outperforms other baseline models.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2021)
Article
Engineering, Mechanical
Xiaohui Liu, Jian Song, Liangyao Yu, Zhenghong Lu, Jinzhen Wang, Lanie Abi
Summary: This paper focuses on improving both brake safety and ride comfort in the postbraking phase. By establishing a complete vehicle model and designing a safety control strategy, braking safety is ensured through the collection of driver behavior and vehicle signals. A sliding mode control algorithm is used to propose a methodology for longitudinal deceleration control, aiming to enhance ride comfort while reducing the braking distance.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2023)
Article
Clinical Neurology
Suiyong Du, Panpan Hu, Shaomin Yang, Hongqing Zhuang, Feng Wei, Xiaoguang Liu, Zhongjun Liu
Summary: This retrospective cohort study described the surgeries and treatment outcomes of metastatic pheochromocytomas and paragangliomas on the spine. The study found that surgery is effective for treating intractable local pain and neurological impairment in these patients. Palliative surgical strategies can achieve relatively good treatment outcomes, especially for patients in poor physical conditions.
GLOBAL SPINE JOURNAL
(2023)
Article
Cell Biology
Run-Qi Guo, Jin-Zhao Peng, Yuan-Ming Li, Xiao-Guang Li
Summary: The study confirms that the systemic antitumor immunity can be enhanced by combining microwave ablation with anti-PD-1/CTLA-4 treatment in renal cell carcinoma.
Article
Chemistry, Multidisciplinary
Xinning Han, Xuerui Liu, Shuye Li, Zhenliang Li
Summary: A high stable and efficient CuO@CSs catalyst was prepared through in-situ growth methods, which showed good capability in activating peroxymonosulfate (PMS). Under UV-visible light irradiation, the CuO@CSs/PMS system exhibited high degradation efficiency towards RhB, and the catalyst could be reused. The generation of both 1O2 and O2·- in the photocatalytic process was confirmed to contribute to the removal of RhB. Moreover, the CuO@CSs/PMS system also showed excellent degradation performance for RhB in natural water samples.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2023)
Article
Geochemistry & Geophysics
Mengtao Chen, Guoxin Chen, Wencai Yang
Summary: This paper introduces a news processing method for geomagnetic anomaly field data, called the envelope mode magnetic field, which can weaken the influence caused by geomagnetic polarity reversal during rock magnetization, reflect the magnetic change of crustal rocks, and locate the crustal structures. Simulation tests and experiments confirm the effectiveness of this method.
Article
Geochemistry & Geophysics
Jiao Tian, Xiaocheng Zhou, Yucong Yan, Miao He, Jingchao Li, Jinyuan Dong, Fengli Liu, Shupei Ouyang, Ying Li, Lei Tian, Yingchun Wang, Tianming Huang, Zhonghe Pang
Summary: The study investigated hot springs along the Anninghe-Zemuhe Fault on the eastern edge of the Tibetan Plateau. The results showed that earthquake activities play a significant role in both spatial and temporal changes in the hydrochemical compositions of hot springs. The findings provide insights into the hydrochemical response to earthquakes in orogenic areas.
APPLIED GEOCHEMISTRY
(2023)
Review
Engineering, Environmental
Xiaohua Zhang, Ruyun Han, Yanzhen Liu, Hengxiang Li, Wenjing Shi, Xiaoyan Yan, Xinxin Zhao, Yongfeng Li, Baosheng Liu
Summary: This review summarizes the recent progress in the preparation methods of biomass-based porous graphitic carbon (BPGC), including activation, catalytic graphitization, and simultaneous activation-graphitization. The mechanisms of structure evolution during activation and graphitization are highlighted. The advances in optimizing and restructuring the microstructure of BPGC from 0D to 3D are presented. The structure-performance correlation of BPGC for supercapacitors is discussed, along with the challenges and opportunities for its further development in energy storage.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Environmental Sciences
Lijiao Chen, Yang Gao, Mingchen Ma, Lili Wang, Qinglu Wang, Shuhui Guan, Xiaohong Yao, Huiwang Gao
Summary: Biomass burning has significant impacts on air quality and climate, particularly in areas with agricultural burning. However, the uncertainties in biomass burning emissions, especially in agricultural burning, limit our understanding of their effects on air quality. By using an improved emission inventory and satellite data, this study evaluates the impact of biomass burning on air quality and climate in Northeast China and finds that biomass burning contributes significantly to PM2.5 concentrations in the region. The study also highlights the importance of small fires, often missed in traditional satellite products, in affecting air quality.
ENVIRONMENTAL POLLUTION
(2023)
Article
Engineering, Aerospace
Ran Wang, Mingjie Yu, Yue Bai, Liang Yu, Guangming Dong
Summary: This paper proposes a method for broadband acoustic modal identification based on nonsynchronous measurements from a rotating microphone array, which solves the problem of acoustic modal aliasing caused by a limited number of microphones. The method uses a single reference microphone to enhance the robustness of cross-spectral matrix completion. The accuracy of the method is verified through numerical simulations and experimental results from an axial flow compressor.
Article
Agricultural Engineering
Lili Wang, Kai Sun, Shuai Pan, Shunli Wang, Zhongkang Yan, Lianlian Zhu, Xingyuan Yang
Summary: This study aimed to explore the effect of antagonism between Trichoderma reesei (T.r) and Phanerochaete chrysosporium (P.c) on humification during fermentation of rice straw (RS) and canola straw (CS). The results showed that the addition of exogenous fungi accelerated straw degradation and enzyme activities. P.c inhibited the activity of LiP when co-existing with T.r, but promoted lignin degradation and the production of humus-like substances (HLS) and humic-like acid (HLA) in later fermentation. The recommended technology for converting crop straw into humus resources was RTP.
BIORESOURCE TECHNOLOGY
(2023)
Article
Environmental Sciences
Lili Wang, Lianlian Zhu, Shuai Pan, Shunli Wang
Summary: Chinese university campuses, accommodating over 30 million students, contribute to high carbon emissions due to the consumption of fossil fuel energy. This study explores the potential of biomethane production from food waste through anaerobic digestion in 2344 universities across 353 cities in mainland China. The results indicate that campus canteens annually generate 1.74 million tons of food waste, with a biomethane potential of 195.8 million m3, leading to a reduction of 0.77 million tons of CO2-eq. Wuhan, Zhengzhou, and Guangzhou are identified as the cities with the highest biomethane potential. The challenges include the purity of food waste, accumulation of ammonia and fatty acids, foaming, and appropriate plant site selection. By addressing these technical and management challenges, low-carbon campuses can be achieved through the utilization of bioenergy such as biomethane.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Environmental Sciences
Jing Qi, Xiaoli Wang, Lin Fan, Shuhan Gong, Xinqi Wang, Chong Wang, Li Li, Hang Liu, Yun Cao, Mengmeng Liu, Xu Han, Liqin Su, Xiaoyuan Yao, Mats Tysklind, Xianliang Wang
Summary: Household dust is a significant source of premature exposure to PBDEs, particularly for children. This onsite study collected 246 dust samples from 224 households in nine Chinese cities and explored the association between household-related information and PBDEs in household dust. The study found that temperature, CO2 levels, years of residence, income, family size, household size, use of computers, heating, use of insecticide, and use of humidifiers were influential factors on PBDE concentrations in household dust. The results provide a basis for controlling PBDE pollution in Chinese households and protecting population health.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Gastroenterology & Hepatology
Chenhong Lin, Yeda Chen, Feng Zhang, Peng Zhu, Liangliang Yu, Wenbiao Chen
Summary: This study revealed that cancer-associated fibroblasts (CAFs) are closely associated with hepatocarcinogenesis. CAFs can be divided into three subclasses, and CAF2 is specifically related to the clinical information of hepatocellular carcinoma (HCC). CAFs have strong interactions with B cells and CD8+ T cells, and PTN is identified as a novel mediator of CAFs in modulating hepatitis B virus (HBV) cirrhosis-HCC progression.
Article
Engineering, Electrical & Electronic
Liang Yu, Huimin Liu, Ning Chu, Ali Mohammad-Djafari, Weihua Yang
Summary: This paper presents a measurement principle for three-dimensional non-synchronous measurements with a central reference based on revolution and autorotation. By combining revolution and autorotation, the spatial resolution is improved and the side lobe interference is reduced.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Wenbin Wang, Xiangping Yu, Yinjun Zhao, Long Li, Yuwen Li, Yingzhong Tian, Fengfeng Xi
Summary: This paper presents a simplified approach to efficiently solve the inverse kinematics of a flexible panel continuum robot. Through an experiment, two approximate relationships are discovered: the arc length of the middle backbone can be estimated from the arc lengths of the two panels, and the length difference between the two panels can be related to the tip angle of the end-effector. Based on these relationships, a simplified inverse kinematics method is proposed using a constant curvature model. The method has been validated with high accuracy, demonstrating its effectiveness for real-time applications.
Article
Physics, Applied
Zi-Hao Wang, Jie Zhao, Li-Li Fu, Liao-Lin Zhang, Chun-Xiao Liu
Summary: This study reports on the preparation of optical waveguides in Dy3+-doped Y3Al5O12 transparent ceramics using proton implantation. The fabricated waveguides exhibit a high-quality waveguide structure and efficient light propagation.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Ahmed Memdouh Younsi, Abdelaziz Rabehi, Lakhdar Gacem, Mohamed Toufik Soltani
Summary: In this study, first-principles calculations were used to investigate the structural, electronic, optical, and magnetic properties of SrCo1-xAxO3 (A=Fe or Cr, x=0.125 and 0.25) materials. It was found that the doping of Fe increased the magnetic moment and all materials exhibited metallic conductivity. The variations in the real part values suggested a Drude-like dielectric function behavior for this material.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
L. Derbali, F. Bouhjar, A. Derbali
Summary: This study reports on the deposition of highly transparent conducting n-type zinc oxide (ZnO) thin films on FTO substrates, using an optimized doping process. The results showed that 4% vanadium (V) doping significantly enhances the crystallinity of the thin films, improves the electrical conductivity and reduces deep level defects in ZnO. The V-doped ZnO thin films exhibit high transparency, enhanced UV emission, and improved carrier mobility, leading to higher photocatalytic performance.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Lu Li, Xinpei Li, Lianhe Li
Summary: This study systematically investigates the effective elastic properties of 1D hexagonal quasicrystal (QC) with spring-type imperfect interfaces. The numerical results show that the presence of imperfect interfaces reduces the effective elastic constants to some extent, indicating the important role played by the interface in the elastic properties of QC composites.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Probhu Mandal, Ajay Kumar Ghosh
Summary: In this paper, we have extracted the transport critical current density (Jc) of BaZrO3 added YBa2Cu3O7-delta by using several low electric field criteria. The temperature dependence of Jc and JcG is strongly affected by the choice of electric field criteria, especially at lower temperatures. We have also studied how different criteria may change the extraction of associated coefficients and found that the extrapolated Jc and JcG are highly sensitive to the criteria used.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Zhenghao Cai, Zhiwen Wang, Hongyu Zhao, Ming Li, Bowei Li, Liangchao Chen, Hongan Ma, Xiaopeng Jia
Summary: In this study, the growth characteristics and surface growth process of diamond crystals were further investigated by controlling the impurity content. The results showed that the spontaneous nucleation rate, growth characteristics, and impurity concentration of diamond crystals were significantly affected by the introduction of impurities. The presence of impurities blocked the mutual diffusion between the metal solvent and carbon source, resulting in a decrease in the growth rate of diamond crystals and hindering the surface processes of diamond growth.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Ruizhi Yang, Yunkai Li, Wanpeng Lin, Jun Xu, Lige Wang, Jing Liu
Summary: Selenium selenide (SnSe) has gained attention for its environmental friendliness and low thermal conductivity. Single-crystal SnSe has high thermoelectric properties but is mechanically weak and difficult to manufacture, making it not suitable for commercial usage. Polycrystalline SnSe is easier to synthesize but has poor thermoelectric performance. In this study, polycrystalline SnSe samples are prepared using hydrothermal synthesis combined with vacuum sintering, and their thermoelectric properties are modified through alkali metal element doping.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Mohammed El Amine Monir, Hadj Baltach, Ibtisam F. Al-Maaitah, A. F. Al-Maaitah, Amel Laref
Summary: The structural, electronic and optical properties of Cu2(1-x)Ag2xO alloys were investigated using density functional theory. The compounds were found to be semiconductors based on the equilibrium lattice parameters and electronic structure calculations. Additionally, the optical properties were calculated.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Yi Liu, Jiangtao Xu, Pingan Liu
Summary: In this study, the melting and annealing behaviors of aluminum nanoparticles were simulated using the ReaxFF reactive force field. The physical properties of aluminum and aluminum oxide were effectively reflected in the simulations. The presence of an oxide layer has an impact on the annealing behavior.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
P. Chandini Pattanaik, S. Jena, S. R. Mishra
Summary: This study investigates the two-dimensional time-dependent flow of nanofluid over a permeable stretching or sinking sheet. The inclusion of a transverse magnetic field, magnetic dissipation, and thermal radiation enriches the flow phenomena. The use of nanofluids is of increasing importance in various industrial applications, as well as engineering and biomedicine.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Muhammad Farooq, Hijaz Ahmad, Dilber Uzun Ozsahin, Alamgeer Khan, Rashid Nawaz, Bandar Almohsen
Summary: This paper investigates the Poiseuille flow of non-isothermal couple stress fluid of Reynolds model between two heated parallel inclined plates using the AHPM and OHAM-DJ methods. The approximate solutions for various flow properties are obtained and compared, showing excellent resemblance between the two methods.
MODERN PHYSICS LETTERS B
(2024)
Article
Physics, Applied
Shyam Lal Gupta, Sumit Kumar, Samjeet Singh Anupam, Samjeet Singh Thakur, Sanjay Panwar, Diwaker
Summary: This study investigates the structural, electronic, mechanical, and thermoelectric properties of the iridium-based Heusler alloys Ir2V (In, Sn). The alloys exhibit half-metallic behavior, with large magnetic moments and mechanical stability, making them promising candidates for high-temperature thermoelectric applications.
MODERN PHYSICS LETTERS B
(2024)