Investigation of the mineral profile, structural and thermal properties of blends of trapiá powder with tropical fruits by Henrique Valentim Moura, Rossana Maria Feitosa de Figueirêdo, Alexandre José de Melo Queiroz, Eugênia Telis de Vilela Silva, Aline Priscila de França Silva, Inácia dos Santos Moreira, Raniza de Oliveira Carvalho, Yaroslávia Ferreira Paiva, Francislaine Suelia dos Santos, Josivanda Palmeira Gomes, Wilton Pereira da Silva, Ana Paula Trindade Rocha, Maria Laiza dos Santos da Mota, Antônio Gilson Barbosa de Lima, Dermeval Araújo Furtado

“…The powders were evaluated for their mineral profile; structural properties were assessed through scanning electron microscopy (SEM), crystallinity was determined by X-ray diffraction (XRD), and the analysis of absorption spectroscopy in the infrared region (FTIR). …”
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Cryo-EM structure of AAA + ATPase thorase reveals novel helical filament formation by Mohamad Aasif Dar, Robert Louder, Marisol Cortes, Rong Chen, Qianqian Ma, Mayukh Chakrabarti, George K.E. Umanah, Ted M. Dawson, Valina L. Dawson

“…Together, our data reveal a new filament structure of Thorase, offering insights into the mechanism of Thorase filament formation and its potential role in the disassembly of the mTORC1 complex.…”
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Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements by K. А. Molokov, V. V. Novikov, M. Dabalez

“…Introduction. Data on the occurrence of initial failures obtained through testing on standard samples cannot always be extrapolated to real welded joints and structures. …”
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Optical genome mapping reveals novel structural variations in an autism spectrum disorder cohort by Yunjia Zhang, Wai-Tong Chien, Judy Yuet-Wa Chan, Tsz-Yan Cheung, Zhiqian He, Kai-Hang Yip, Dorothy Fung-Ying Chan, Josephine Shuk-Ching Chong, Mary Miu-Yee Waye, Sek-Ying Chair, Ting-Fung Chan

“…Structural variants (SVs) contribute to the genetic architecture of autism spectrum disorder (ASD), but their comprehensive characterization is limited by technological challenges in their detection. …”
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Trends in diet structural composition and quality among adults in Beijing, China (2010–2022) by Ningsu Chen, Liyu Huang, Kai Zhao, Yimei Sha, Mengnan Zhao, Yihong Yao, Yana Qi, Yan Zhang, Bo Yu, Hairong He, Jiajie Yu, Jiali Duan

“…Examining trends in population-level dietary structural composition and quality is essential for monitoring nutritional transitions, identifying key dietary risks, and developing targeted public health policies.MethodsThis study analyzed dietary trends among Beijing adults using three waves (2010–2022) of data from the China Nutrition and Health Surveillance (CNHS). …”
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Structured design of a hydrochar-supported LDH/MOF composite for improved photocatalytic applications by Gilberto Rafael Jarre-Vera, Bryan Fernando Rivadeneira-Mendoza, Kevin Jhon Fernández-Andrade, Krishna Kumar Yadav, Iris B. Pérez-Almeida, María Dolores Saquete, Nuria Boluda-Botella, Joan Manuel Rodríguez-Díaz

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Tree community, vegetation structure and aboveground carbon storage in Atlantic tropical forests of Cameroon by Jean Louis Fobane, Jules Christian Zekeng, Cédric Djomo Chimi, Jean Michel Onana, André Paul Ebanga, Léonnel Djoumbi Tchonang, Ameline Clarance Talla Makoutsing, Marguerite Marie Mbolo

“…This study aimed to fill existing knowledge gaps by characterising plant communities, assessing the vegetation structure, and quantifying the potential of carbon stocks. …”
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Unveiling the Genetic Landscape of Coronary Artery Disease Through Common and Rare Structural Variants by Kruthika R. Iyer, Shoa L. Clarke, Rodrigo Guarischi‐Sousa, Ketrin Gjoni, Adam S. Heath, Erica P. Young, Nathan O. Stitziel, Cecelia Laurie, Jai G. Broome, Alyna T. Khan, Joshua P. Lewis, Huichun Xu, May E. Montasser, Kellan E. Ashley, Natalie R. Hasbani, Eric Boerwinkle, Alanna C. Morrison, Nathalie Chami, Ron Do, Ghislain Rocheleau, Donald M. Lloyd‐Jones, Rozenn N. Lemaitre, Joshua C. Bis, James S. Floyd, Gregory L. Kinney, Donald W. Bowden, Nicholette D. Palmer, Emelia J. Benjamin, Matthew Nayor, Lisa R. Yanek, Brian G. Kral, Lewis C. Becker, Sharon L. R. Kardia, Jennifer A. Smith, Lawrence F. Bielak, Arnita F. Norwood, Yuan‐I Min, April P. Carson, Wendy S. Post, Stephen S. Rich, David Herrington, Xiuqing Guo, Kent D. Taylor, JoAnn E. Manson, Nora Franceschini, Katherine S. Pollard, Braxton D. Mitchell, Ruth J. F. Loos, Myriam Fornage, Lifang Hou, Bruce M. Psaty, Kendra A. Young, Elizabeth A. Regan, Barry I. Freedman, Ramachandran S. Vasan, Daniel Levy, Rasika A. Mathias, Patricia A. Peyser, Laura M. Raffield, Charles Kooperberg, Alex P. Reiner, Jerome I. Rotter, Goo Jun, Paul S. de Vries, Themistocles L. Assimes

“…Despite single nucleotide variant‐based genome‐wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear. …”
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Land use classification through fusion of remote sensing images and multi-source data by Guo Zhiqian, Ren Yushui, Li Xin, Ma Kang, Qian Shujun

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Late-gestation heat stress alters placental structure and function in multiparous dairy cows by L.T. Casarotto, H.N. Jones, P. Chavatte-Palmer, J. Laporta, F. Peñagaricano, V. Ouellet, J. Bromfield, G.E. Dahl

“…Morphological and histological data were analyzed using generalized linear mixed models. …”
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Mapping the Intellectual Structure of COVID-19 Scientific Articles in Iran: A Scientometrics Study by Ismael Mostafavi, MotahereSadat Sajadipour, Afsaneh Hazeri

“…Therefore, the current research aims to analyze the scientific metrics and delineate the intellectual structure and concepts of scientific articles authored by Iranian researchers in the field of COVID-19, as indexed in the Web of Science database.Methodology: This research employs text content analysis, utilizing standard techniques from scientometric studies, including co-word analysis and clustering. …”
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Structural damage-driven brain compensation among near-centenarians and centenarians without dementia by Hui Tang, Haichao Zhao, Hao Liu, Jiyang Jiang, Nicole Kochan, Jing Jing, Henry Brodaty, Wei Wen, Perminder S. Sachdev, Tao Liu

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Structural Insights into Bortezomib-Induced Activation of the Caseinolytic Chaperone-Protease System in Mycobacterium tuberculosis by Biao Zhou, Yamin Gao, Heyu Zhao, Banghui Liu, Han Zhang, Cuiting Fang, Hang Yuan, Jingjing Wang, Zimu Li, Yi Zhao, Xiaodong Huang, Xiyue Wang, A. Sofia. F. Oliveira, James Spencer, Adrian J. Mulholland, Steven G. Burston, Jinxing Hu, Ning Su, Xinwen Chen, Jun He, Tianyu Zhang, Xiaoli Xiong

“…Structural and biochemical data indicate that sub-stoichiometric binding by bortezomib to the protease active sites orthosterically activates the MtbClpP1P2 complex. …”
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Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results by Tsair-Wei Chien, Willy Chou

Subjects: “…Leadership structure classification…”
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3D Visualization Method for Surface Defects of Underwater Structures Based on Acoustic and Optical Combination Measurement by Xiang WANG, Jinchao WANG, Houcheng LIU, Wanpeng SONG, Shuqi LI

“…Finally, a three-dimensional visualization system for surface defects of underwater structures is developed by constructing a texture feature image enhancement algorithm, synchronously utilizing sound and light combination data. …”
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USING QUANTUM-CHEMICAL PARAMETERS FOR PREDICTING ANTIRADICAL (HO•) ACTIVITY OF RELATED STRUCTURES CONTAINING A CINNAMOIL FRAGMENT. IV. STRUCTURE-ACTIVITY RELATIONSHIP BETWEEN UNSAT... by E. T. Oganesyan, S. S. Shatokhin

“…At the same time, the transition from flavanone to flavone leads to the formation of a conjugated system with the participation of π-electrons of the aromatic system “B”, C-7, C-8 atoms and the carbonyl group, which is commonly called the “main conjugation chain”. These structural changes, namely, the transition from a less oxidized flavanone to a more oxidized flavone, contribute to a decrease in the electron density on C-7 and C-8 atoms, and an increase in the total unsaturation of the molecules in general. …”
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A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching by B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo

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Seismic Facies Classification of Salt Structures and Sediments in the Northern Gulf of Mexico Using Self-Organizing Maps by Silas Adeoluwa Samuel, Camelia C. Knapp, James H. Knapp

“…SOM Models 1 and 2, which combined geometric, spectral, and amplitude-based attributes, were shown to delineate potential storage reservoirs, gas hydrates, salt structures, associated radial faults, and areas with poor data quality due to the presence of the salt structures more than SOM Models 3 and 4. …”
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GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds by D. Oakley, D. Oakley, C. Loiselet, T. Coowar, T. Coowar, V. Labbe, J.-P. Callot

“…<p>The increasing availability of large geological datasets and modern methods of data analysis facilitate a data science approach to geology in which inferences are drawn from geological data using automated methods based on statistics and machine learning. …”
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Iterative Approach to the Area Collapse Algorithm for 2D Geometric Objects Representing Long Engineering Structures by Michał M. Buczek

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