Article
Construction & Building Technology
Ziwei Zhang
Summary: This study proposes a new metaheuristic search scheme, namely the slime mold algorithm (SMA), to predict the compressive strength of concrete (CSC) by incorporating the effect of mixture ingredients and curing age into an artificial neural network (ANN). The SMA-ANN demonstrates excellent capability in CSC prediction for both training and testing phases, outperforming two benchmark algorithms, HGSO and HHO. The findings suggest that SMA-ANN can serve as a substitute for laborious laboratory tests and provide a convenient predictive formula for CSC estimation.
Article
Computer Science, Information Systems
Umar Ishfaq, Hikmat Ullah Khan, Saqib Iqbal
Summary: Estimating the importance of nodes in complex social networks is crucial for understanding network robustness and stability. Existing centrality measures are based on single criteria, but this study proposes a novel centrality model that combines multiple measures for ranking nodes using entropy weighting and TOPSIS method.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Multidisciplinary Sciences
Matthew O. Jacksona, Suraj Malladic, David McAdamsd
Summary: This study examines how communication platforms can enhance social learning by limiting the depth and breadth of information dissemination, thereby improving message fidelity. By imposing caps on the number of times a message can be shared and the number of recipients, the signal-to-noise ratio can be increased despite a reduction in overall communication.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Information Systems
Hyungho Byun, Younhyuk Choi, Chong-Kwon Kim
Summary: This paper proposes a novel scheme called ANES for representation learning and social link inference based on user trajectory data. It extracts behavioral patterns from both trajectory data and the structure of User-POI bipartite graphs, outperforming state-of-the-art baselines in extensive experiments on real-world datasets.
INFORMATION SCIENCES
(2023)
Review
Computer Science, Information Systems
Norah Alotaibi, Delel Rhouma
Summary: This article provides an overview of the characteristics and challenges of community detection in dynamic social networks, and compares state-of-the-art methods. Researchers can use this survey to find the best methods and choose relevant future directions.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Social Issues
Karin Moshkovitz, Tsahi Hayat
Summary: This study examined the relationship between personality, Twitter activity, number of followers, and social capital, finding correlations between Twitter use frequency, extroversion, and perceived online social capital. It also showed that extroverts gain more social capital through online followings and offline sociability. These results support the 'Rich get Richer' model in the context of social networking sites.
TECHNOLOGY IN SOCIETY
(2021)
Article
Mathematics
Ivan Brandic, Lato Pezo, Nikola Bilandzija, Anamarija Peter, Jona Suric, Neven Voca
Summary: An artificial neural network (ANN) model was developed in this study to predict the higher heating value (HHV) of miscanthus biomass. The developed model showed good properties and high accuracy in predicting HHV.
Article
Psychology, Multidisciplinary
Niels Braus, Sonja Kewitz, Christina Hunger-Schoppe
Summary: This study reveals the complex interplay of relational factors and resources related to Alcohol-use disorders. Successful recovery is associated with increased social resources and reduced relations associated with craving.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Economics
Chai Bin-Feng, Sultan Sikandar Mirza, Tanveer Ahsan, Ammar Ali Gull, Bakr Al-Gamrh
Summary: Using a dataset of Chinese listed companies from 2009 to 2018, this study empirically examines the relationship between a company's institutional environment, the ultimate controller's characteristics and its level of corporate social responsibility (CSR) disclosure in China. The results show that Chinese companies operating in better institutional environments have higher CSR disclosure, and state-controlled companies tend to have higher levels of CSR disclosure compared to nonstate-controlled companies. The results are robust across different proxies of CSR disclosure.
MANAGERIAL AND DECISION ECONOMICS
(2022)
News Item
Chemistry, Multidisciplinary
Andreas Osterwalder
Summary: Controlling reactions between molecules is a major goal in chemistry, and achieving this at the individual quantum state level is very challenging. Recently, successful demonstration of control over reactant state and full characterization of product-state distribution in an ultracold bimolecular reaction has been achieved.
Article
Mathematics, Applied
Chengyi Zeng, Lina Lu, Hongfu Liu, Jing Chen, Zongtan Zhou
Summary: Multiplex networks accurately model the coupling of network nodes between layers, whereas traditional disintegration methods have limitations. This paper introduces a deep learning framework called MINER, which effectively infers the disintegration strategy based on deep network representation learning.
Article
Business
Feng Wang, Xueting Zhang, Man Chen, Wei Zeng, Rong Cao
Summary: This research examines the timing and motivations behind the sharing of content by social hubs and social bridges in social networking platforms. The findings reveal a paradox where social hubs are more likely to share deal content but less likely to share brand content, while social bridges are more likely to share brand content but less likely to share deal content. The study also provides insights into the mechanisms that drive influencers to share certain types of content, enriching the literature on content marketing.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Communication
Shan Xu, Wenbo Li, Weiwu Zhang
Summary: Social capital is a reciprocal process where social networks produce different types of support and the outcomes influence subsequent social interactions. Importantly, social support reinforces tie strength but reduces communication diversity.
JOURNAL OF COMPUTER-MEDIATED COMMUNICATION
(2021)
Article
Chemistry, Multidisciplinary
So-jeong Cho, Im-jun Ban, Sung-chul Shin
Summary: Evaluation of ship strength during hull structure design is crucial for safety. This study predicts the ultimate strength of a curved plate under transverse compressive load using a deep learning model and verifies its accuracy. The research demonstrates the potential for more efficient consideration of ultimate strength in the initial ship design stage.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Arbish Akram, Nazar Khan
Summary: This study demonstrates the advantages of using an ultimate skip (US) connection in facial expression synthesis with generative adversarial networks (GAN). The US connection transfers essential details while reducing artifacts, allowing the intermediate layers to focus solely on expression generation. The proposed US-GAN model is lightweight, with significantly fewer parameters than state-of-the-art models, and trained on a much smaller dataset. It achieves a 7% increase in face verification score (FVS) and a 27% decrease in average content distance (ACD).
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
