Article
Business
Andrzej Cieslik
Summary: This article empirically validates the theoretical predictions of the knowledge capital model of multinational enterprises and identifies the reasons for international production in Poland. The study shows that differences in relative factor endowments and market size are important motivators for foreign direct investment in Poland, with variations observed among parent countries.
EMERGING MARKETS FINANCE AND TRADE
(2021)
Article
Engineering, Civil
Van-Bang Phung, Norman A. Abrahamson, Bor-Shouh Huang, Chin Hsiung Loh
Summary: A ground motion prediction equation (GMPE) has been developed for estimating vertical ground motion amplitudes for crustal earthquakes in Taiwan. The GMPE provides median and standard deviations of peak ground acceleration (PGA) and pseudo spectral acceleration response ordinates for the spectral period of 0.01-10 s. The study reveals significant nonlinear site effects in the period of about 0.2-0.5 s for the vertical component.
EARTHQUAKE SPECTRA
(2022)
Article
Construction & Building Technology
Ki-Yeol Kim, Young-Jin Kim, Myoung-Sung Choi
Summary: In this study, horizontal and vertical pumping experiments were conducted using rheology-based quantitative performance prediction technology to evaluate the concrete pumping performance. The correlation between experimental results and additional vertical lengths was analyzed using computational fluid dynamics. The study proposed a horizontal-vertical ratio relationship for the concrete pumping pipe.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Engineering, Civil
Saeid Pourzeynali, Alireza Khadivyan
Summary: In this study, attenuation relationships of horizontal and vertical peak ground acceleration and 5%-damped spectral acceleration suitable for the northern region of Iran (Alborz Zone) were proposed and validated. The results show good compatibility with a number of past well-known studies.
JOURNAL OF EARTHQUAKE ENGINEERING
(2022)
Article
Ecology
Javed Riaz, Sophie Bestley, Simon Wotherspoon, Louise Emmerson
Summary: The foraging behavior of Adelie penguins is influenced by changes in horizontal movement persistence rather than following traditional optimal foraging models. Environmental conditions during different chick-rearing stages also impact penguins' movement at Bechervaise Island. Therefore, integrating spatial location and behavioral data is crucial for inferring habitat use.
Article
Engineering, Geological
Bhargavi Podili, K. P. Sreejaya, S. T. G. Raghukanth, D. Srinagesh, C. V. R. Murty
Summary: This paper presents a study on the characteristics of V/H ratio of Indian ground motion records, finding that the majority of records exceed the Indian seismic design code norm. New V/H spectral ratio models are developed for Western Himalayas and North-East India, considering various factors and showing good performance compared to global models.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
Article
Business
Ngoc Uyen Phuong Nguyen, Martin G. Moehrle
Summary: Technology convergence refers to the blurring of boundaries between different sectors of technologies, resulting in the emergence of new technologies. This study analyzed technology convergence in urban innovation using patent data, and found that it occurs at different system levels and within city infrastructures simultaneously.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Computer Science, Hardware & Architecture
Kai Sun, HuaJie Jiang, Yongli Hu, BaoCai Yin
Summary: Relation prediction aims to infer missing relations among entities in knowledge graphs, and inductive relation prediction has gained popularity for its effectiveness on emerging entities. Existing approaches either learn logical compositional rules or utilize subgraphs for relation prediction. However, current models are still suboptimal in capturing critical topological information for local relation prediction. To address this problem, we propose a novel inductive relation prediction approach called substructure-aware subgraph reasoning, which incorporates substructure information into the reasoning process to improve prediction accuracy. Experimental results on three benchmark datasets demonstrate the effectiveness of our proposed approach for inductive relation prediction.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Multidisciplinary Sciences
Luke Greenacre, Jair E. Garcia, Eugene Chan, Scarlett R. Howard, Adrian G. Dyer
Summary: Humans have associations between numbers and physical space. This study found that people are more accurate and efficient in responding to vertical dimensions in directional tasks. Response efficiency is also influenced by the consistency between a person's native language and the language of the experiment. The dominance of the vertical orientation may have situational advantages in certain domains.
Article
Engineering, Mechanical
Mazen M. Othayq, Faris S. Bilal, Thiana A. Sedrez, Siamack A. Shirazi
Summary: The effect of the distance between adjacent elbows on solid particle erosion was investigated. Flow visualizations, paint removal experiments, and erosion measurements were conducted to examine the erosion behavior. It was found that the distance between the elbows has an impact on the erosion. The larger the distance, the lower the erosion.
Article
Geochemistry & Geophysics
Pengfei Wang, Paolo Zimmaro, Tristan E. Buckreis, Tatiana Gospe, Scott J. Brandenberg, Sean K. Ahdi, Alan Yong, Jonathan P. Stewart
Summary: Frequency-dependent horizontal-to-vertical spectral ratios (HVSRs) can provide useful information for site response modeling, but are not commonly included in ground-motion models. To facilitate the use of HVSR, we developed a publicly accessible relational database that contains microtremor-based HVSR data and supporting metadata. Users can interact with the data through a graphical user interface or use external tools for further analysis.
SEISMOLOGICAL RESEARCH LETTERS
(2022)
Article
Chemistry, Medicinal
Zhengnian Li, Ryosuke Ishida, Yan Liu, Jinhua Wang, Yina Li, Yang Gao, Jie Jiang, Jianwei Che, Jason M. Sheltzer, Matthew B. Robers, Tinghu Zhang, Kenneth D. Westover, Behnam Nabet, Nathanael S. Gray
Summary: This study describes a medicinal chemistry campaign to identify a CDK11 inhibitor. Through structure-guided medicinal chemistry modifications, a CDK11 probe ZNL-05-044 with improved selectivity was identified, which can arrest cell cycle and impact CDK11-dependent gene splicing in cells.
EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY
(2022)
Article
Engineering, Civil
Nadia Gremer, Christoph Adam
Summary: The contribution assesses the vertical peak component acceleration of SDOF oscillators attached to elastic moment-resisting steel frames subjected to ground motions. The interaction between vertically oscillating nonstructural components (NSCs) and the structure is more pronounced than for horizontally oscillating NSCs. The vertical dynamic response of flexible NSCs cannot be neglected and should be studied in more detail in the future.
Article
Biochemical Research Methods
Arnold K. Nyamabo, Hui Yu, Jian-Yu Shi
Summary: Adverse drug-drug interactions (DDIs) can pose serious risks to the organism due to interference between different drugs' mechanisms of action. Existing computational methods for identifying DDIs have room for improvement and may benefit from a new deep learning framework called SSI-DDI, which focuses on pairwise interactions between substructures for improved prediction performance.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Biochemical Research Methods
Zhuohang Yu, Zengrui Wu, Weihua Li, Guixia Liu, Yun Tang
Summary: Identification of adverse drug events (ADEs) is crucial for reducing health risks and improving drug safety assessment. This study introduces a novel network-based method, ADENet, which predicts potential ADEs for drugs within the drug-ADE network as well as novel compounds outside the network. ADENet outperformed previous methods in both model validation and external validation, and showed practical value in predicting ADEs. The method, ADENet, provides a promising tool for ADE prediction and drug safety assessment in drug discovery and development.
BRIEFINGS IN BIOINFORMATICS
(2022)