RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks by Rafael Josip Penić, Tin Vlašić, Roland G. Huber, Yue Wan, Mile Šikić

“…This emphasizes the necessity to improve our understanding of its structures and functions. Over the years, sequencing technologies have produced an enormous amount of unlabeled RNA data, which hides a huge potential. …”
Get full text

Effect of Ionic and Nonionic Compounds Structure on the Fluidity of Model Lipid Membranes: Computer Simulation and EPR Experiment by Dariusz Man, Barbara Pytel

“…This article investigates the influence of dopant molecules on the structural and dynamic properties of lipid bilayers in liposomes, with a focus on the effects of dopant concentration, size, and introduced electric charge. …”
Get full text

Digital finance, industrial structure upgrading, and energy efficiency in China: a provincial-level empirical analysis by Haicheng Zhu, Xingyu Qi, Minghao Xu, Jian Su, Zerong Wang

“…Based on annual panel data from 30 provinces in China from 2011 to 2022, this study constructs a mediation effect model to empirically examine the relationships among digital finance, industrial structure upgrading, and energy efficiency. …”
Get full text

Analysis Technique on Water Permeability in Concrete with Cold Joint considering Micro Pore Structure and Mineral Admixture by Se-Jin Choi, Suk-Pyo Kang, Sang-Chel Kim, Seung-Jun Kwon

Get full text

Theoretical study on the structures and pharmacokinetic evaluation of verticillane-type diterpenes from soft coral Heteroxenia ghardaqensis by Jiangmei Pang, Qinzhe Yu, Huining Wei, Xiaoyun Xia, Zishan Lin, Xiandong Du, Chaojie Wang

“…Abstract The density functional theory (DFT) method ωB97XD/6-311++G(2d, p) was applied to calculate and analyze the geometric structures, spectral properties, frontier molecular orbitals, and molecular electrostatic potentials of 14 novel verticillane-type diterpenoids isolated from the soft coral Heteroxenia ghardaqensis. …”
Get full text

Functional mapping of human dynamin-1-like GTPase domain based on x-ray structure analyses. by Julia Wenger, Eva Klinglmayr, Chris Fröhlich, Clarissa Eibl, Ana Gimeno, Manuel Hessenberger, Sandra Puehringer, Oliver Daumke, Peter Goettig

“…To obtain insights into its catalytic mechanism, we determined crystal structures of a construct comprising the GTPase domain and the bundle signaling element (BSE) in the nucleotide-free and GTP-analogue-bound states. …”
Get full text

Artificial Intelligence and Carbon Emissions: Mediating Role of Energy Efficiency, Factor Market Allocation and Industrial Structure by Jun Liu, Hengxu Shen, Junwei Chen, Xin Jiang, Abdul Waheed Siyal

“…Artificial intelligence (AI) plays an important role in promoting energy transformation and achieving global green and low-carbon goals. Based on the panel data of 285 prefecture-level cities in China from 2011 to 2022, this paper empirically examines the impact of AI on carbon emission (CE) and its internal mechanism. …”
Get full text

Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics by Pawan Goyal, Süleyman Yıldız, Peter Benner

Get full text

DERIVATIZATION OF PHOTOACTIVE STRUCTURES SI(N+)/SI(P)/SI(P+) THROUGH ION-BEAM CRYSTALLIZATION by V. N. Varavka, S. N. Chebotarev, A. S. Pashchenko, V. A. Irkha

“…The scanning electron microscopy data show that the grown photoactive structures have closely a faultless surface. …”
Get full text

Corporate environmental responsibility and financial performance: The moderating role of ownership structure and listing status of Vietnam banks by Le Ha Diem Chi, Le Dinh Hac, Nguyen Quang Nhat, Bui Thi Thu Hang

“…The study aims to provide empirical evidence for a one-way relationship between corporate environmental responsibility (CER) and financial performance (FP) in the banking industry, with special consideration into the moderating role of legal regulations and ownership structures. Net interest margin (NIM), return on assets (ROA), return on equity (ROE) are selected to measure FP while the content analysis method is adopted to examine CER. …”
Get full text

A robust single-antenna GNSS/MEMS fusion structure for reliable attitude determination in challenged environments by Jiaji Wu, Yuying Li, Tianci Tang, Wei Ding, Xiaoliang Meng, Jianghua Liu, Jinguang Jiang

Get full text

Structure Optimization of a Vibration Suppression Device for Underwater Moored Platforms Using CFD and Neural Network by Zhaoyong Mao, Fuliang Zhao

“…Finally, we compare the results of CFD simulation based on optimal parameter with the bare UMP and analyze their dimensionless amplitude, wake structure, and lift coefficient. It is shown that BP neural network and generic algorithm are effective.…”
Get full text

Methods of testing systems for strengthening masonry structures based on cement composites reinforced with glass fiber mesh by Petrović Milica, Popović Marko, Škondrić Marina, Savić Aleksandar, Zakić Dimitrije

Get full text

The Effects of Disturbance Intensity on Tropical Forest Bird Communities and Vegetation Structure after Two Decades of Recovery by Alex Glass, Nico Arcilla

“…High-disturbance sites, however, had lower species richness and distinct bird communities, with fewer insectivores and more nectarivores than other sites. Structural equation models revealed that the impacts of disturbance intensity on bird communities were partially explained by changes in vegetation structure: ant-following insectivore abundance declined with disturbance intensity as ground cover vegetation increased, and nectarivore abundance increased with disturbance intensity as tree density decreased. …”
Get full text

Dynamic evolution and network structure characteristics of the wellbeing eco-efficiency of cities in the Yellow River Basin, China by Meixia Wang, Qingyun Zheng, Li Liu

“…Clarifying its spatial and temporal dynamic evolution and network structure characteristics is crucial for promoting the ecological protection and high-quality development in the entire Yellow River Basin (YRB). …”
Get full text

Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures by Somnath Ghosh, Saikat Dan, Preetam Tarafder

“…Abstract Nondestructive evaluation (NDE) of aerospace structures plays a crucial role in their successful operation under harsh environments. …”
Get full text

Experimental investigation of thickness effects in the manufacture of thick-section composite structures using liquid thermoplastic resin by Ione L. M. Smith, Edward D. McCarthy, Philipp R. Thies, Selda Oterkus, Winifred Obande

“…Thick-section composites (10–100 mm) are increasingly used in structurally demanding applications. Growing interest in sustainable alternatives has driven the development of recyclable, room-temperature-processable liquid thermoplastic resins to replace thermosets in vacuum-infused composites. …”
Get full text

Fluid-Structure Interaction Analysis of Carotid Artery Blood Flow with Machine Learning Algorithm and OpenFOAM by Banu Körbahti, Murad Kucur

“…The research includes the effect of arterial wall deformation by fluid-structure analysis. Pulsatile velocity cycle is trained for 144 patients with different hemodynamic parameters, by machine learning algorithm using blood flow velocity measured from 337 points of the carotid artery. …”
Get full text

Sex structure and timing of spawning for <i>Mercenaria stimpsoni</i> (Bivalvia, Veneridae) in the northwestern Japan Sea by Roman V. Vlasenko, Marianna V. Kalinina

“…Sex structure, growth, maturing and spawning of clam Mercenaria stimpsoni at Primorye coast (Japan Sea) are considered on the data of histological analysis of gonad tissue preparations and gonad smears collected in diving surveys conducted eastward from Cape Povorotny in the summer-fall of 2006-2009 and 2012-2013. …”
Get full text

Digital Economy and Industrial Structure Transformation: Mechanisms for High-Quality Development in China’s Agriculture and Rural Areas by Jingruo Liu, Xiuju Feng, Jianxu Liu, Woraphon Yamaka

“…This study investigates the complex interplay between digital economy, industrial structure transformation, and agricultural advancement using panel data from 31 Chinese provinces spanning 2012–2021. …”
Get full text