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. …”
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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. …”
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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. …”
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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

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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. …”
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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

“…The mechanism test shows that AI affects CE in three main ways: improving energy efficiency, optimizing factor market allocation, and industrial structure. The heterogeneity results show that the “inverted U-shape” relationship of AI on CE is significant in resource cities insignificant in non-resource cities, significant in low-carbon pilot cities, and insignificant in non-low-carbon pilot cities, significant in areas with a high level of industrialization, and insignificant in areas with a low level of industrialization. …”
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Deep learning for structure-preserving universal stable Koopman-inspired embeddings for nonlinear canonical Hamiltonian dynamics by Pawan Goyal, Süleyman Yıldız, Peter Benner

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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. …”
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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

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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.…”
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Could Milkability Parameters Serve as a Reliable Tool to Predict the Morphology of Teat Structures and Their Milking-Induced Changes? by Iveta Szencziová, Matúš Gašparík, Jaromír Ducháček, Eva Tóthová Tarová, Melinda Nagy, Luděk Stádník, Mária Mičiaková, Radim Codl

“…The prediction potential, performed based on milkability, is limited if the initial dimensions of structures are not provided. If teat dimensions were measured at the beginning of the production life, automatically collected milkability data could be used to calculate milking-induced changes incurred with each milking and the development of teat dimensions over the production life. …”
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Numerical power prediction for waDED produced aluminium ER5183 wall structures on vertical substrate plates by Fabio Haunreiter, Hugo Drexler, Martin Schnall, Alois Birgmann, Johannes Kronsteiner, Thomas Kopf, David Gruber, Pauline Meyer-Heye, Matthias Hartmann

“…The calibrated FEM-model is used to predict optimized welding powers for a multi-layer wall structure. Good seam qualities are achieved using the numerically predicted welding powers, effectively preventing variations in seam width caused by insufficient or excessive heat input.…”
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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. …”
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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). …”
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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. …”
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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. …”
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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. …”
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E-learning Method and University Life of Married Female Students in Patriarchal Social Structure in Sociological Perspective by Shukra Raj Adhikari, Bhawani Shankar Adhikari, Ganga Acharya

“…This paper analyzes the challenges and opportunities of e-learning for married female students within the university context under the patriarchal social structure. Married female students’ in-depth interviews based on the challenges and opportunities they faced in the e-learning system in university education have prepared the cases through their narratives as the primary date of the research. …”
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Biological and genetic structure of Epinephelus costae (Steindachner, 1878) population in Iskenderun Bay, eastern Mediterranean Sea by Servet Ahmet Doğdu

“…This study aimed to status of the Iskenderun population of Epinephelus costae, an important fish species in the Mediterranean Sea ecosystem, by providing detailed data on its genetic structure using mtDNA COI gene region and biological parameters as length-weight relationship, age-growth characteristics, von Bertalanffy growth parameters. …”
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Experimental Study on Variable Amplitude Fatigue Performance of High-Strength Bolts in Steel Structure Flange Connections by Huaguang Ni, Shujia Zhang, Honggang Lei

“…Steel structure flange connections are extensively employed in structural nodes due to their superior mechanical properties. …”
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