Many-Objective Truss Structural Optimization Considering Dynamic and Stability Behaviors by João Marcos P. Vieira, José Pedro G. Carvalho, Dênis E. C. Vargas, Érica C. R. Carvalho, Patrícia H. Hallak, Afonso C. C. Lemonge

“…This paper aims to propose seven innovative many-objective structural optimization problems (MOSOPs) applied to 25-, 56-, 72-, 120-, and 582-bar trusses, not yet presented in the literature, in which the main objectives, in addition to the structure’s weight, refer to the structures’ vibrational and stability aspects. …”
Get full text

Comparability of a Three-Dimensional Structure in Biopharmaceuticals Using Spectroscopic Methods by Víctor Pérez Medina Martínez, Mario E. Abad-Javier, Alexis J. Romero-Díaz, Francisco Villaseñor-Ortega, Néstor O. Pérez, Luis F. Flores-Ortiz, Emilio Medina-Rivero

“…DLM suggested that Infinitam has fewer exposed thiols than Enbrel, although DTNB method, circular dichroism (CD), fluorescence (TCSPC), and activity (TNFα neutralization) showed no differences. Overall, this data revealed the capabilities and drawbacks of each thiol quantification technique and their correlation with protein structure.…”
Get full text

Bridge service life and impact of maintenance events on the structural state index by Abdoul S. Bah, Yan Zhang, Kotaro Sasai, David Conciatori, Luc Chouinard, Nicolas Zufferey, Gabriel J. Power, Thomas Sanchez, Xuande Chen

“…Structure-specific simulations are obtained though a model that uses site-specific hourly historical meteorological data, and concrete properties from non-destructive permeability and resistivity measurements. …”
Get full text

Learning motif features and topological structure of molecules for metabolic pathway prediction by Jianguo Hu, Yiqing Zhang, Jinxin Xie, Zhen Yuan, Zhangxiang Yin, Shanshan Shi, Honglin Li, Shiliang Li

“…Scientific contribution MotifMol3D integrates motif information, graph neural networks, and 3D structural data to enhance feature extraction for small-sample molecules, improving the precision and interpretability of metabolic pathway predictions. …”
Get full text

Population Structure of the Invasive Asian Tiger Mosquito, Aedes albopictus, in Europe by Margaret K. Corley, Luciano Veiga Cosme, Peter A. Armbruster, Nigel Beebe, Anna Bega, Sebastien Boyer, Beniamino Caputo, Chun‐Hong Chen, Jacob E. Crawford, Alessandra dellaTorre, Roger Eritja, Michael C. Fontaine, Richard J. Gill, Trang Huynh, Perparim Kadriaj, Kevin Maringer, Ademir Jesus Martins, Andrew Maynard, Shomen Mukherjee, Leonard E. Munstermann, Verena Pichler, Maria Sharakhova, Sinnathamby Noble Surendran, Sandra Urbanelli, Enkelejda Velo, Isra Wahid, Muhammet Mustafa Akiner, Georgios Balatsos, Gilles Besnard, Maria Louise Borg, Daniel Bravo‐Barriga, Rubén Bueno Marí, Francisco Collantes, Cintia Horvath, Mihaela Kavran, Raquel Medialdea‐Carrera, Tanya Melillo, Antonios Michaelakis, Ognyan Mikov, Arianna Puggioli, Elton Rogozi, Francis Schaffner, Kayleigh Hackett, Thomas Johnson, Tina Wu, João Pinto, Vera Valadas, Adalgisa Caccone

“…We also compared results from our SNP data to those obtained using genotypes from 11 microsatellite loci (N = 637 mosquitoes from 25 European localities) to explore how sampling effort and the type of genetic marker used may influence conclusions about Ae. albopictus population structure. …”
Get full text

Functional and structural analysis of missense variants in the human PDCD1 Gene by Hanâ Baba, Meryem Bouqdayr, Anass Abbad, Asmae Saih, Benson R. Kidenya, Mohamed A. Sesay, Simpson Addo, Lahcen Wakrim, Anass Kettani

“…Aim: This study investigates the functional and structural impact of missense single nucleotide polymorphisms in the human Programmed Cell Death 1 (PDCD1) gene. …”
Get full text

Clinicopathological features and prognosis of mucinous breast carcinoma with a micropapillary structure by Beibei Yang, Menglu Shen, Bo Sun, Jing Zhao, Meng Wang

“…Abstract Objective To conduct a comparative analysis of clinicopathological data between mucinous micropapillary breast carcinoma (MUMPC) and pure mucinous carcinoma (PMC) without a micropapillary structure to elucidate the distinctive clinicopathological characteristics of MUMPC and their impact on prognosis. …”
Get full text

Structural Explanation of Urban Tourism Development Challenges in Chaharmahal and Bakhtiari Cities by Arash Fazeli, Nafiseh Marsousi, Mohsen Saghaei

“…Data were analyzed using structural equation modeling with PLS software. …”
Get full text

The impact of herd age structure on the performance of commercial sow-breeding farms by Santos Sanz-Fernández, Cipriano Díaz-Gaona, João Simões, José Carlos Casas-Rosal, Nuria Alòs, Llibertat Tusell, Raquel Quintanilla, Vicente Rodríguez-Estévez

“…The objective of this study is to define different types of herd age structure using data from 623 Spanish commercial sow farms. …”
Get full text

Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

“…Results We performed a gene expression and structural analysis of ten taste receptor genes in Iberian and Duroc pigs. …”
Get full text

Three-dimensional structure of entire hydrated murine hearts at histological resolution by Jasper Frohn, Frederik Böddeker, Marius Reichardt, Hendrik Bruns, Titus Czajka, Amara Khan, Ludovic Broche, Michael Krisch, Alberto Bravin, Frauke Alves, Jana Zschüntzsch, Tim Salditt

“…Semi-automatic determination of structural metrics is already achieved and the corresponding tools and resulting data are made publically available. …”
Get full text

Multiparity induces persistent myocardial structural, functional and transcriptomic remodelling in mice by Ruth R. Magaye, Bing H. Wang, Hongyi R. Liu, Shanae Bailey, Rithy Nuon, Sabrina Sutano, Michael Nyugen, Helen Kiriazis, Kyah Grigolon, Luchen Shan, William W. H. Ho, Fumihiko Takeuchi, Daniel G. Donner, David M. Kaye

“…We evaluated blood pressure, body composition, gross weight and histologic cardiac structure. Cardiac function was assessed by echocardiography together with transcriptomic analysis of the left ventricular myocardium. …”
Get full text

The role of phytoplankton in structuring global oceanic dissolved organic carbon pools by Zhe Lu, Guoming Qin, Lingling Zheng, Yanyan Zhang, Lincheng Huang, Jinge Zhou, Yongxin Liu, Mianhai Zheng, Enqing Hou, Lirong Song, Hongbin Liu, Nianzhi Jiao, Faming Wang

Get full text

ON DISCRETE STRUCTURE OF GEOLOGIC MEDIUM AND CONTINUAL APPROACH TO MODELING ITS MOVEMENTS by Sh. A. Mukhamediev

“…Authors who support the second opinion, either explicitly or implicitly assume that the block structure of the geologic medium, which is detectable by geological methods, makes a direct and unambiguous impact on all other mechanical properties of the geologic medium and, above all, on the nature of its movements.Based on results obtained by interpreting the data collected in our long-term field studies of rock fracturing, mathematical processing of GPS-measurements, and theoretical models, we agree with the concept of the geologic medium’s block structure, but argue that the geologic block-structure property is not acquired but congenital. …”
Get full text

Association and shared biological bases between birth weight and cortical structure by Lu Zhang, Qiaoyue Ge, Zeyuan Sun, Rui Zhang, Xinxi Li, Xiaoli Luo, Run Tian, Yuheng Cao, Chunyan Pu, Lin Li, Dongsheng Wu, Ping Jiang, Chuan Yu, Chiara Nosarti, Chenghan Xiao, Zhenmi Liu

“…Leveraging data from genome-wide association studies, we investigated the associations and the shared transcriptomic, proteomic and cellular bases of birth weight and 13 cortical structural phenotypes. …”
Get full text

Shear-wave Velocity Structure of Greenland from Rayleigh-wave Analysis by V. Corchete

“…The elastic structure beneath Greenland is shown by means of S-velocity maps for depths ranging from zero to 350 km, determined by the regionalization and inversion of Rayleigh-wave dispersion. …”
Get full text

Damage Strength Model of Soil–Structure Interface Based on Equivalent Damage by Huaixin LI, Changgen YAN, Jiale XIE, Weifeng SUN, Yuling SHI, Zhuolong JIA

“…The proposed model is validated by comparing it with experimental data, demonstrating that it accurately represents both softening and hardening stress-strain behaviors at the soil-structure interface.Conclusions This study explores how the soil shear area influences the mechanical properties of the soil-structure interface and proposes a zero-thickness interface model to predict this behavior, supported by experimental evidence. …”
Get full text

Exercise Improves Myocardial Deformation But Not Cardiac Structure in Preterm-Born Adults by Winok Lapidaire, PhD, Afifah Mohamed, DPhil, Wilby Williamson, DPhil, Odaro J. Huckstep, DPhil, Maryam Alsharqi, DPhil, Cheryl M.J. Tan, DPhil, Samuel Burden, PhD, Cameron Dockerill, PhD, William Woodward, BSc, Annabelle McCourt, MSc, Holger Burchert, DPhil, Yvonne Kenworthy, BSc, Luca Biasiolli, DPhil, Helen Dawes, PhD, Charlie Foster, PhD, Paul Leeson, MB, PhD, Adam J. Lewandowski, DPhil

Get full text

Shear-wave velocity structure of Australia from Rayleigh-wave analysis by Víctor Corchete

“…The elastic structure beneath Australia is shown by means of S-velocity maps for depths ranging from zero to 400 km, determined by the regionalization and inversion of Rayleigh-wave dispersion. …”
Get full text

Transcriptional patterns of brain structural abnormalities in CSVD-related cognitive impairment by Haixia Mao, Min Xu, Hui Wang, Hui Wang, Yuankun Liu, Feng Wang, Feng Wang, Qianqian Gao, Songyun Zhao, Lin Ma, Xiaoyun Hu, Xiaoxuan Zhang, Guangjun Xi, Guangjun Xi, Xiangming Fang, Yachen Shi, Yachen Shi

“…However, the molecular and cellular factors making the different brain structural regions more vulnerable to CSVD-related cognitive impairment remain largely unknown.Materials and methodsVoxel-based morphology (VBM) was performed on the structural magnetic resonance imaging data of 46 CSVD-related cognitive impairment and 73 healthy controls to analyze and compare the gray matter volume (GMV) between the 2 groups. …”
Get full text