On structural loads and responses of monopile offshore wind turbines under typhoons: Numerical case study of Super Typhoon Chan-hom by Dongqin Zhang, Xi Zhong, Kai Wei, Shunyun Zheng, Chao Li, Gang Hu, Jize Zhang

“…The simulation outputs were validated against field measurement data, confirming their accuracy. On this basis, the structural loads and responses of turbines installed at various radial positions around the typhoon center were analyzed, revealing that peak loads and responses occur for turbines located northeast and southwest at the radius of maximum wind speed. …”
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RESULTS OF NON-INVASIVE ACTIVATION MAPPING OF THE HEART IN “IDIOPATHIC” VENTRICULAR ARRHYTHMIAS IN COMPARISON WITH STRUCTURAL CHARACTERISTICS OF MYOCARDIUM BY MAGNETIC RESONANCE IM... by N. A. Mironova, L. H. Yeghiazaryan, О. P. Aparina, T. A. Malkina, O. V. Stukalova, S. A. Bakalov, S. P. Golitsyn

“…To compare the results of non-invasive activational mapping in patients with “idiopathic” ventricular arrhythmias (IVA) with the data on myocardial structure obtained by late enhancement magnetic resonance tomography (MRI).Material and methods. …”
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HIV Preexposure Prophylaxis Practice among Urban Female Sex Workers in Northwest Ethiopia: Using Generalized Structural Equation Modeling by Lakew Asmare MPH, Atalay Goshu MPH, Tihtna Alemu MSc, Ejigu Gebeye MPH

“…An interviewer-administered questionnaire was used to collect the data. Generalized structural equation modeling was employed to identify factors associated with PrEP practice. …”
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Structural molecular details of the endocytic adaptor protein CALM upon binding with phosphatidylinositol 4,5-bisphosphate-containing model membranes by Andreas Santamaria, Daniel Pereira, Nisha Pawar, Bernard T. Kelly, Javier Carrascosa-Tejedor, Mariana Sardo, Luís Mafra, Giovanna Fragneto, David J. Owen, Ildefonso Marín-Montesinos, Eduardo Guzmán, Nathan R. Zaccai, Armando Maestro

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Collagen glycosylation, hip structural analysis, and trabecular bone score in adolescents with type 1 diabetes: a cross-sectional study by Sowmya Krishnan, Christopher E. Aston, Jennifer Chadwick, Shelly Gulati, Huaiwen Wang, Susan B. Sisson, Madhusmita Misra, Steven D. Chernausek

“…However, there are limited data regarding the effects of diabetes on the growing skeleton, particularly during adolescence, the time of peak bone mineral accretion. …”
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Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach by Mona Gamal Mohamed, Polat Goktas, Shimaa Abdelrahim Khalaf, Aycan Kucukkaya, Ibrahim Al-Faouri, Ebtisam Abd Elazeem Saber Seleem, Awatef Ibraheem, Aya M. Abdelhafez, Saleh O. Abdullah, Hanan Nasef Zaki, Abdulqadir J. Nashwan

“…Methods A cross-sectional study was conducted among 1,055 undergraduate nursing students across four Middle Eastern countries, including Egypt, Jordan, Saudi Arabia, and Yemen. Data were collected using a structured questionnaire comprising the Generative Artificial Intelligence Acceptance Scale and the Artificial Intelligence Anxiety Scale. …”
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Identifying the Soft Components of Digital Transformation and Designing the Model Resulting from them with the Method of Theme Analysis and Interpretive Structural Modeling by yasaman modaresi, Mir Ali Seyyed Naghavi, Habib Rood Saz, Iman Raeesi Vanani

“…The theme was done using the quantitative method of interpretive structural modeling. A semi-structured interview tool and a researcher-made questionnaire based on the content analysis of the interviews were used to collect information. …”
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Pressure Dependence of Structural Behavior in the Polymorphs of Fe(PM–BiA)₂(NCS)₂ by Pulkit Prakash, Hend Shahed, Ji Qi, Andrzej Grzechnik, Manuel Angst, Jörg Voigt, Jörg Perßon, Yao Cheng, Biliana Gasharova, Yves-Laurent Mathis, Francesco Capitani, Carsten Paulmann, Charlie McMonagle, Dmitry Chernyshov, Karen Friese

“…The pressure dependence of structural behavior in the orthorhombic (<i>Pccn</i>, PI) and monoclinic (<i>P2</i>₁/<i>c</i>, PII) polymorphs of the compound [Fe(PM-BiA)₂(NCS)₂], where PM–BiA = (N–(2′–pyridylmethylene)–4-amino–bi–pheynyl), is studied with synchrotron single-crystal X-ray diffraction and vibrational spectroscopy. …”
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Structural Health Monitoring of Aerial Vehicles Using Guided Electromagnetic Waves in K-Band: Initial Damage Detection Results from Drone Flight Testing by Moritz Mälzer, Jonas Simon, Carsten Günner, Daniel del Rio Velilla, Manuel Rao, Sebastian Beck, Vittorio Memmolo, Jochen Moll, Viktor Krozer

“…This paper introduces a novel structural health monitoring (SHM) approach based on guided electromagnetic waves propagating in a dielectric waveguide in the frequency range from 23.5 to 26 GHz. …”
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Structural characteristics and antioxidant activity of a low-molecular-weight jujube polysaccharide by ultrasound assisted metal-free Fenton reaction by Yingying Liu, Yan Meng, Haozhen Ji, Jianhang Guo, Miaomiao Shi, Feiliao Lai, Xiaolong Ji

“…Methylation analysis, HPGPC, ion chromatography, FT-IR, and NMR spectroscopies were used to clarify the chemical structures of DPZMP3. Monosaccharide compositional analysis of DPZMP3 revealed the presence of Rha, Ara, Gal, and GalA at a molar ratio of 1.00:1.49:1.60:7.68, and the HPGPC data demonstrated the average Mw of 34.3 kDa. …”
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Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models by Yinping Lu, Luyao Wang, Toshiya Murai, Jinglong Wu, Dong Liang, Zhilin Zhang

“…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by the disconnection of white matter fibers and disrupted functional connectivity of gray matter; however, the pathological mechanisms linking structural and functional changes remain unclear. This study aimed to explore the interaction between the structural and functional brain network in AD using advanced structural–functional coupling (S-F coupling) models to assess whether these changes correlate with cognitive function, Aβ deposition levels, and gene expression. …”
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Investigating the Impact of Environmental, Social, and Governance Performance on Financial and Non-Financial Performance of Companies: The Moderating Role of Structural Management... by Ghareibeh Esmailikia, Hosna Fathinia

“…The firm's financial and non-financial performance is linked to the structural elements of management and the composition of the board of directors. …”
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Diversity, expression, and structural modeling of sugar transporters in Anisakis simplex s. s. L3 and L4 larvae: an in vitro and in silico study by Iwona Polak, Robert Stryiński, Łukasz Paukszto, Jan Paweł Jastrzębski, Iwona Bogacka, Elżbieta Łopieńska-Biernat

“…IntroductionGlucose transporter (GLUT) research in parasitic nematodes focuses on identifying and characterizing developmentally regulated isoforms, elucidating their regulatory and structural properties, and evaluating their potential as drug targets. …”
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Structural and dynamic impacts of single-atom disruptions to guide RNA interactions within the recognition lobe of Geobacillus stearothermophilus Cas9 by Helen B Belato, Alexa L Knight, Alexandra M D'Ordine, Chinmai Pindi, Zhiqiang Fan, Jinping Luo, Giulia Palermo, Gerwald Jogl, George P Lisi

“…Here, we investigated the structure and multi-timescale molecular motions of the recognition (Rec) lobe of GeoCas9, a thermophilic Cas9 from Geobacillus stearothermophilus. …”
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PETROGENESIS AND STRUCTURAL POSITION OF THE EARLY PROTEROZOIC CHARNOCKITES OF THE TATARNIKOVSKY MASSIF IN THE SOUTH SIBERIAN POST-COLLISIONAL MAGMATIC BELT OF THE SIBERIAN CRATON by T. V. Donskaya, A. M. Mazukabzov, D. P. Gladkochub

“…However, unlike the rocks of the Davan zone, these granitoids have not been subjected to dynamometamorphism, mylonitization and metasomatism, and seem younger than the geologic structure of this zone. The formation of granitoids coincides in time with the youngest formations in the North Baikal volcanoplutonic belt (1.85–1.84 Ga). …”
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Influence of Retinal Venous Pressure on Visual and Structural Outcomes in Eyes with Central Retinal Vein Occlusion Undergoing Anti-VEGF Treatment by Hidasa I, Yang KB, Zhang ML, Wang BY, Zhang GQ, Gao ZY, Liu ZY, Qi P, Xie J, Wang H, Liu L, Zhang H

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Arterial hypertension with comorbid chronic obstructive pulmonary disease: relationship between tolerance to physical exercise and structural and functional state of the heart. by T. Z. Burtniak, V. A. Potabasniy, V. I. Fesenko

“…The aim of the study was to establish the relationship between tolerance to exercise, oxygen saturation, and structural and functional cardiac status in patients with hypertension in combination with COPD. …”
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Factors influencing public health engagement in alcohol licensing in England and Scotland including legal and structural differences: comparative interview analysis by Niamh Fitzgerald, Andrea Mohan, Richard Purves, Rachel O’Donnell, Matt Egan, James Nicholls, Nason Maani, Maria Smolar, Andrew Fraser, Tim Briton, Laura Mahon

“…Interviews focused primarily on the nature of their engagement (n = 66) and their rationale for the approaches taken (n = 28). Interview data were analysed thematically using NVivo. Findings were constructed by discussion across the research team, to describe and explain the differences in practice found. …”
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Damage Identification of Railway Bridge KW51 Conditions Using Deep-Learning-Based 1D CNN Model by Ali Al-Ghalib, Sawsan Mahmoud

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Mapping variants in thyroid hormone transporter MCT8 to disease severity by genomic, phenotypic, functional, structural and deep learning integration by Stefan Groeneweg, Ferdy S. van Geest, Mariano Martín, Mafalda Dias, Jonathan Frazer, Carolina Medina-Gomez, Rosalie B. T. M. Sterenborg, Hao Wang, Anna Dolcetta-Capuzzo, Linda J. de Rooij, Alexander Teumer, Ayhan Abaci, Erica L. T. van den Akker, Gautam P. Ambegaonkar, Christine M. Armour, Iiuliu Bacos, Priyanka Bakhtiani, Diana Barca, Andrew J. Bauer, Sjoerd A. A. van den Berg, Amanda van den Berge, Enrico Bertini, Ingrid M. van Beynum, Nicola Brunetti-Pierri, Doris Brunner, Marco Cappa, Gerarda Cappuccio, Barbara Castellotti, Claudia Castiglioni, Krishna Chatterjee, Alexander Chesover, Peter Christian, Jet Coenen-van der Spek, Irenaeus F. M. de Coo, Regis Coutant, Dana Craiu, Patricia Crock, Christian DeGoede, Korcan Demir, Cheyenne Dewey, Alice Dica, Paul Dimitri, Marjolein H. G. Dremmen, Rachana Dubey, Anina Enderli, Jan Fairchild, Jonathan Gallichan, Luigi Garibaldi, Belinda George, Evelien F. Gevers, Erin Greenup, Annette Hackenberg, Zita Halász, Bianka Heinrich, Anna C. Hurst, Tony Huynh, Amber R. Isaza, Anna Klosowska, Marieke M. van der Knoop, Daniel Konrad, David A. Koolen, Heiko Krude, Abhishek Kulkarni, Alexander Laemmle, Stephen H. LaFranchi, Amy Lawson-Yuen, Jan Lebl, Selmar Leeuwenburgh, Michaela Linder-Lucht, Anna López Martí, Cláudia F. Lorea, Charles M. Lourenço, Roelineke J. Lunsing, Greta Lyons, Jana Krenek Malikova, Edna E. Mancilla, Kenneth L. McCormick, Anne McGowan, Veronica Mericq, Felipe Monti Lora, Carla Moran, Katalin E. Muller, Lindsey E. Nicol, Isabelle Oliver-Petit, Laura Paone, Praveen G. Paul, Michel Polak, Francesco Porta, Fabiano O. Poswar, Christina Reinauer, Klara Rozenkova, Rowen Seckold, Tuba Seven Menevse, Peter Simm, Anna Simon, Yogen Singh, Marco Spada, Milou A. M. Stals, Merel T. Stegenga, Athanasia Stoupa, Gopinath M. Subramanian, Lilla Szeifert, Davide Tonduti, Serap Turan, Joel Vanderniet, Adri van der Walt, Jean-Louis Wémeau, Anne-Marie van Wermeskerken, Jolanta Wierzba, Marie-Claire Y. de Wit, Nicole I. Wolf, Michael Wurm, Federica Zibordi, Amnon Zung, Nitash Zwaveling-Soonawala, Fernando Rivadeneira, Marcel E. Meima, Debora S. Marks, Juan P. Nicola, Chi-Hua Chen, Marco Medici, W. Edward Visser

“…The combination of deep phenotyping data with functional and computational tests and with outcomes in population cohorts, enabled us to: (i) identify the genetic aetiology of divergent clinical phenotypes of MCT8 deficiency with genotype-phenotype relationships present across survival and 24 out of 32 disease features; (ii) demonstrate a mild phenocopy in ~400,000 individuals with common genetic variants in MCT8; (iii) assess therapeutic effectiveness, which did not differ among LoF-categories; (iv) advance structural insights in normal and mutated MCT8 by delineating seven critical functional domains; (v) create a pathogenicity-severity MCT8 variant classifier that accurately predicted pathogenicity (AUC:0.91) and severity (AUC:0.86) for 8151 variants. …”
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