Article
Computer Science, Interdisciplinary Applications
Marie Dumaz, Reese Boucher, Miguel A. L. Marques, Aldo H. Romero
Summary: Density functional theory is widely used in characterizing the electronic structure of materials and is considered one of the most successful theories in materials science. This paper measures the specific impact of this theory through citation records of solid-state first principle ab initio packages, showing exponential growth in publications and how different electronic structure packages support various scientific communities. The analysis also reveals interesting observations such as connections between countries where packages are developed and used, and evidence of specialization in software packages despite similar capabilities.
Article
Computer Science, Interdisciplinary Applications
Feng Hu, Lin Ma, Xiu-Xiu Zhan, Yinzuo Zhou, Chuang Liu, Haixing Zhao, Zi-Ke Zhang
Summary: This study introduces an evolutionary model based on hypergraph theory combined with aging effect to reflect the temporal dynamics of citation behavior. The empirical analysis shows that the attraction of early publications decays exponentially, and the aging effect significantly influences the description of collective citation patterns.
Article
Computer Science, Interdisciplinary Applications
Rajmund Kleminski, Przemyslaw Kazienko, Tomasz Kajdanowicz
Summary: Scientific output has been steadily growing in terms of research published annually, providing scholars with numerous publishing options. High-cited papers tend to be found in top conferences rather than top journals, particularly in the field of Computer Science where popular conferences play a central role in attracting quality publications.
JOURNAL OF INFORMETRICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Dongin Nam, Jiwon Kim, Jeeyoung Yoon, Chaemin Song, Seongdeok Kim, Min Song
Summary: The paper proposes a new entitymetrics approach that focuses on citation sentences and constructs direct and indirect citation sentence networks to analyze key entities. The findings indicate that this method can expand the foundation of entitymetrics and provide new insights for entity-level bibliometrics analysis.
Article
Computer Science, Information Systems
Jiamin Wang, Qikai Cheng, Wei Lu, Yongxiang Dou, Pengcheng Li
Summary: This study proposes a term function-aware keyword citation network to address the lack of consideration for semantic roles of keywords in existing research. By identifying research questions and methods and constructing a question-method term citation network, the superiority of this network in science mapping analysis is validated. The evaluation results show that the term function identification model based on BERT achieves a score of 0.90 F1, and the question-method term citation network outperforms existing keyword citation methods in revealing association patterns between scientific knowledge and improving the interpretability of the computing field's knowledge structure. We believe that this work expands the methodology of keyword citation network and science mapping analysis and provides guidance for considering term function in various scenarios.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Article
Chemistry, Medicinal
Heng Zhang, Yunfan Gao, Guangcheng Fu, Junzhong Liu, Qingcai Jiao
Summary: The European Journal of Medicinal Chemistry (EJMC) has been widely recognized and studied by researchers in the field. A bibliometric analysis was conducted to assess the scientific output and current status of EJMC from 1987 to 2022. The analysis identified the countries, institutions, authors, and literature with the highest impact, and used visualization networks to present the findings. The keyword co-occurrence analysis revealed a shift from phenotypic drug discovery to target-based drug discovery, and provided insights for researchers to define their research topics and directions. The focus of research in EJMC has shifted towards antitumor and oxidative stress-related drugs, with future studies focusing on tumor multidrug resistance, oxidative stress, and dual inhibitors.
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
(2023)
Article
Genetics & Heredity
Cristina Alvarez-Peregrina, Clara Martinez-Perez, Cesar Villa-Collar, Miguel Angel Sanchez-Tena
Summary: The study aimed to analyze the growth of publications on genetic myopia through citation networks, identifying key research areas and most cited publications. A total of 721 publications were found with 2999 citations generated within the network, with 2019 being highlighted as a key year due to significant progress in the discovery of genetic loci associated with refractive errors and myopia. The most widely cited publication was a meta-analysis by Verhoeven et al. published in 2013. Three main research clusters were identified, focusing on heritability, retinal syndromes, and genetic factors related to myopia.
Article
Computer Science, Interdisciplinary Applications
Tianshuang Qiu, Chuanming Yu, Yunci Zhong, Lu An, Gang Li
Summary: In this study, a scientific citation recommendation model integrating network and text representation was proposed to enhance recommendation performance by fusing two types of information. Experimental results showed that this approach can effectively improve the performance of citation recommendation, and heterogenous network representation learning can capture richer semantic information.
Article
Mathematics, Interdisciplinary Applications
Qi Jia, Jiaqi Fan, Lifeng Xi
Summary: The stretched Cantor product is found to be rectifiable but not self-similar. The mean geodesic distance on this product is studied using the method of finite pattern.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2021)
Article
Chemistry, Physical
Neha Tyagi, Binny J. Cherayil
Summary: This paper investigates the time evolution of the linear dimensions of a single finitely extensible Rouse polymer in a solution of other polymers under linear mixed flow using a generalized Langevin equation (GLE). The decay of the chain's fractional extension in the steady state is shown to be expressed in terms of a linear combination of Mittag-Leffler and generalized Mittag-Leffler functions, suggesting a non-exponential melt relaxation process with a continuous spectrum of timescales. The calculated decay curves provide satisfactory fits to experimental data, indicating the potential role of the tube model's two-step mechanism in chain relaxation processes.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Indra Budi, Yaniasih Yaniasih
Summary: Traditional citation analyses have limitations in using quantitative methods only. This article proposes a deep learning model to classify citation meanings automatically, including sentiment, role, and function. The proposed model is compared with classic models and shows good performance in classifying citation meanings. The study also reveals similar patterns of citation meaning across different fields of science. The automatic classification metric achieves high scores, especially for unbalanced datasets. The ability to classify citation meanings automatically is important for analyzing big data of journal citations.
Review
Biology
Gareth Leng, Rhodri Leng, Mike Ludwig
Summary: In this paper, the claim that oxytocin is a 'social neuropeptide' is analyzed. The structure of the scientific literature on this topic is examined, and evidence from various types of studies is considered to evaluate the claim. The conclusion is that the evidence for the claim is weak, based on the analysis of the most highly cited papers.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Article
Engineering, Mechanical
Alexandre Delory, Fabrice Lemoult, Antonin Eddi, Claire Prada
Summary: We investigated the propagation of guided elastic waves in a highly-stretched Ecoflex (c) plate by measuring in-plane displacements of the shear horizontal mode SH0 and the plate mode S0 at low frequencies. Induced anisotropy was observed and characterized by studying the phase velocities in two principal directions. We found that the acoustoelastic theory had limitations in predicting these phase velocities in a prestressed elastomer, but by considering the frequency-dependent shear modulus and adding an experiment-driven fractional rheological model to the theory, we achieved accurate predictions of phase velocities up to 80% elongation.
EXTREME MECHANICS LETTERS
(2023)
Article
Computer Science, Information Systems
Shengzhi Huang, Yong Huang, Yi Bu, Wei Lu, Jiajia Qian, Dan Wang
Summary: A novel fine-grained citation count prediction task (FGCCP) was proposed in the study, utilizing a transformer-based model (MTAT) which showed satisfactory prediction accuracy surpassing common machine learning and deep learning models. The study also discussed the potential role of the among-attention mechanism and the reasons for the model outperforming state-of-the-art strategies in scientific research evaluation.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Review
Medicine, General & Internal
Junying Pan, Haoyu Wang, Yinghua Chen
Summary: This paper conducts bibliometric analysis on the literature data of natural products in the treatment of arthritis, aiming to grasp the background, trends, and frontiers of the research, and predict possible research hotspots in the future. The results show that the majority of publications in this area are from China-dominated Asian countries, with notable cooperation among countries. The analysis highlights the research focus on gene expression, anti-inflammatory mechanisms, and signaling pathways related to natural drugs. The study suggests that the research on natural drugs for arthritis will continue to deepen and become more specific with the advancement of science and technology and interdisciplinary integration.
Article
Materials Science, Ceramics
Deniz Bozoglu, Sahin Yakut, Kemal Ulutas, Deniz Deger
Summary: Thin film polyethylene oxide, produced by the thermal evaporation technique, exhibits structural and property differences compared to bulk polyethylene oxide. The dielectric constant of polyethylene oxide thin film is 10 times greater than that of bulk polyethylene oxide. There is consistency among dielectric constants, activation energies, and free volume fractions for both thin film and bulk samples. Polyethylene oxide thin film is observed to be more brittle than bulk polyethylene oxide.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Xiaozhen Fan, Zhuo Wang, Zheng Fang, Huiqun Ye, Jinju Zheng, Jianqiang Zhang, Yanjun Qin, Yao Zhai, Yanlong Miao, Zixiang Zhao, Can Yang, Jiajun He, Zhenghang Wei, Yunzhang Fang
Summary: The microscopic strain evolution and microstructural of FeCuNbSiB amorphous alloy samples were studied under both free and tensile stress annealing conditions. It was found that an amorphous-nanocrystalline structure was developed in both samples after annealing at 813 K, and the size of nanocrystals was limited by the applied stress.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Atsushi Tanaka, Atsuki Saito, Takashi Murata, Ayako Nakata, Tsuyoshi Miyazaki
Summary: Although molecular dynamics (MD) simulation is a powerful tool for investigating the atomic-scale structures of complex materials, its reliable and accurate application to multi-component glass systems faces challenges due to limited force fields (FFs) and the complexity of chemical environments. This study demonstrates the feasibility of efficient and accurate large-scale density functional theory (DFT) calculations for multi-component glass systems. The evaluation of classical FFs based on the results of large-scale DFT calculations reveals low accuracy for non-bridging oxygen atoms, and differences in Si-O-Si angle distribution and electronic structure for X = Mg.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Petr Shvets, Ksenia Maksimova, Aleksandr Goikhman
Summary: In this study, vanadium oxide xerogel samples were successfully synthesized through a liquid phase reaction and the interaction of films with water. The samples were thoroughly analyzed using X-ray diffraction and Raman spectroscopy, revealing the existence of two distinct phases. It was also discovered that previous misinterpretations regarding the high-pressure polymorph structure were due to the formation of a high-temperature phase. These findings highlight the potential for further refining and expanding the current structural models of vanadium oxide xerogel in future research efforts.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Yiran Zhang, Jing Pang, Qingchun Xiang, Dong Yang, Yinglei Ren, Xiaoyu Li, Keqiang Qiu
Summary: The effect of the volume fraction of body-centered cubic (BCC) crystal on the room temperature brittleness of Fe-based amorphous nanocrystalline alloys was investigated. Molecular dynamics simulations were conducted to obtain seven model samples with different embedded BCC nanocrystal contents. The results showed a gradient decrease in the plasticity of the alloys with different nanocrystal contents.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Moustafa Sahnoune Chaouche, Hani K. Al-Mohair, Shavan Askar, Barno Sayfutdinovna Abdullaeva, Naseer Ali Hussien, Ahmed Hussien Alawadi
Summary: In this work, a novel micromechanical data-driven machine learning framework was proposed to characterize material parameters in bulk metallic glasses. The framework utilized nanoindentation simulations with Berkovich and spherical tips to compile a vast collection of data on material behavior in BMGs. The developed machine learning model efficiently predicted critical material properties and highlighted the importance of input feature weight functions.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Louisiane Verger, Vinuyan Ganesaratnam, Virginie Nazabal, Sebastien Chenu, Christophe Calers, David Le Coq, Laurent Calvez, Olivier Hernandez, Xiang-Hua Zhang
Summary: Crystallization in Ga, Sb, and Se glasses was studied, and a correlation between Se content, crystalline phases, and electrical conductivity was observed. The resulting glass-ceramics exhibited significantly higher conductivity compared to other Se-based glass-ceramics.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Seong-Sik Shin, Ga-Yeong Kim, Byeonggwan Lee, Jae-Hwan Yang, Yeon-Su Son, Jung-Hoon Choi, Jae-Young Pyo, Ki Rak Lee, Hwan-Seo Park, Hyun Woo Kang
Summary: In this study, silver tungstate-tellurite glass with different loading of AgI was developed for immobilization of radioactive iodine. The effects of increasing the amount of AgI on the glass matrix were investigated. The leaching properties of all samples were evaluated, and it was found that the release of all elements satisfied the US regulation.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Chunghee Nam
Summary: This study demonstrates the prediction performance of a CNN regression model for the magnetic entropy changes and transition temperatures of bulk metallic glasses with magnetocaloric effects. The model achieved high prediction performance, as measured by the determination coefficient and root mean square error. The results showed good agreement with experimental values and reported results.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
A. Hosny, Y. M. Moustafa, G. El-Damrawi
Summary: In this study, crystalline glass ceramics were obtained directly from glasses using an ion exchange process between lead bromide and oxygen ions. The addition of lead bromide caused significant changes in the glass structure and the formation of specific crystalline phases.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Luana Cristina Feitosa Alves, Jheimison Ferreira Gomes, Natacya Fontes Dantas, Maria Nayane Queiroz, Pablo Nabuco Portes, Francielle Sato, Nilma de Souza Fernandes, Karina Miyuki, Celso Vataru Nakamura, Alysson Steimacher, Franciana Pedrochi
Summary: This study evaluated the influence of CaF2 addition on the bioactivity of the samples. The results showed that the samples exhibited good bioactivity and cytocompatibility, making them suitable for biomedical applications.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
N. Keninger, S. Feller
Summary: The principles of Topological Constraint Theory (TCT) were used to study alkali borate and silicate glass systems. Structural models were developed based on experimental data and used to predict properties of the glass.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Hao Wang, Chengliang Zhao, Chuntao Chang, Shengli Zhu, Zhankui Zhao
Summary: The relationship between the heterogeneous structure and structural relaxation in metallic glasses was explored by investigating the quasielastic and viscoelastic behavior of a Zr55Cu30Ni5Al10 metallic glass. Stress-annealing treatment was used to retain elastic strain energy, and a unique creep recovery phenomenon was observed during the reheating process. The Maxwell model was employed to qualitatively describe the mechanisms of elastic strain energy retention and release.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Sihyung Lee, Giyeol Han, Karuppasamy Pandian Marimuthu, Hyungyil Lee
Summary: This study presents a method for extracting FVM parameters of Zr-based TFMG using MD and FEA, and validates the method through simulation and experiments.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)
Article
Materials Science, Ceramics
Nedra Saad, Mohamed Haouari, Mayssa Ibrahim, Noura Amamou
Summary: In this work, we investigated the optical properties of a fluorophosphate glass system doped with Tb3+ and Eu3+ ions. We found that the emitted light can be tuned by changing the doping concentration, excitation wavelength, or excitation power, which is important for the design of solid-state lighting sources.
JOURNAL OF NON-CRYSTALLINE SOLIDS
(2024)