Genetic diversity and population structure in banana (Musa spp.) breeding germplasm by Violet Akech, Therése Bengtsson, Rodomiro Ortiz, Rony Swennen, Brigitte Uwimana, Claudia F. Ferreira, Delphine Amah, Edson P. Amorim, Elizabeth Blisset, Ines Van den Houwe, Ivan K. Arinaitwe, Liana Nice, Priver Bwesigye, Steve Tanksley, Subbaraya Uma, Backiyarani Suthanthiram, Marimuthu S. Saraswathi, Hassan Mduma, Allan Brown

“…Structure analysis revealed two major clusters corresponding to genomic composition. …”
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Efficient Numerical Analysis of a Periodic Structure of Multistate Unit Cells by Ladislau Matekovits, Karu P. Esselle, Mirko Bercigli, Rodolfo Guidi

“…Variation of the states of the switches modifies the current distribution on the structure. …”
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Agri-Food Sector Structure and Food Prices in European Union Countries by Aneta Błażejowska

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Travel Matrix Decomposition for Understanding Spatial Long-Distance Travel Structure by Hiromichi Yamaguchi, Mashu Shibata, Shoichiro Nakayama

“…These quantified indicators have facilitated the understanding of the national land structure. They are useful as outcome measures for policy-making. …”
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Vegetation structure and phenology primarily shape the spatiotemporal pattern of ecosystem respiration by Cenliang Zhao, Wenquan Zhu

“…Meanwhile, we quantitatively revealed that although environmental factors, such as temperature and water, were still the dominant drivers of TER (contributing ~44.15% of global TER variability), biotic factors (e.g., vegetation structure, ~25.91%) and spatiotemporal variation factors (e.g., land cover and phenology, ~29.94%) were also critical.…”
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Dynamic Response Analysis of the Floor Structure under Random Crowd Excitation by Dong Cao, Zuanfeng Pan, Yu Fang

“…The popularity of new structural systems and prestressing technology has led to the widespread use of the large-space floor structures in large buildings such as high-speed rail terminals, conference centers, and sports stadiums. …”
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Optimal Shape Control of Piezoelectric Intelligent Structure Based on Genetic Algorithm by Zhanxi Wang, Xiansheng Qin, Shunqi Zhang, Jing Bai, Jing Li, Genjie Yu

“…Shape variation induced by mismachining tolerance, humidity and temperature of the working environment, material wear and aging, and unknown external load disturbances have a relatively large influence on the dynamic shape of a mechanical structure. …”
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Modeling the Influence of Forest Structure on Microsite Habitat Use by Snowshoe Hares by Angela K. Fuller, Daniel J. Harrison

“…We measured overwinter hare pellet density to model relationships among microsite-scale vegetation structure and hare use. Overwinter pellet density was positively associated with live stem cover (3 × coniferous saplings + deciduous saplings) and negatively associated with overstory canopy closure; the two variables explained 71% of the variation in microsite use by hares. …”
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Optimization Design of a Multibusbar Structure: The Using of a Conductive Belt by Han Han, Yelong Wu, Chao Ma

“…The conductive belt has multiple wires and can achieve a multibusbar structure by forming ohmic contacts with the cell electrodes. …”
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Structure Optimization of Chain Plate of Double-pitch Silent Chain for Conveyor by Tian Hui, Wang Wencheng, Zhao Haixian, Fu Xintao, Wang Feng, Liu Chunzhe

“…The chain plate structure of double pitch silent conveyor chain is the variation structural of internal and external composite engaged standard silent chain. …”
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Genetic structure of different ethnic populations at the frontotemporal dementia risk loci. by Volodymyr Mavrych, Maryam Alamil, Olena Bolgova, Volodymyr Dvornyk

“…This study aimed to analyze the genetic structure of different ethnic populations at FTD risk loci and provide insights into possible genetic factors underlying the above variation.…”
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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

“…This study systematically benchmarks state-of-the-art deep learning methods for RNA structure prediction across diverse datasets. Our aim is to identify factors influencing performance variation, such as RNA family diversity, sequence length, RNA type, multiple sequence alignment (MSA) quality, and deep learning model architecture. …”
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Landscape Heterogeneity and Island Identity as Drivers of Mesoscale Structure of Pollination Networks by Lazaros Neokosmidis, Yiannis G. Zevgolis, Panayiotis G. Dimitrakopoulos, Theodora Petanidou

“…Here, we surveyed 37 pollination networks across eight Aegean islands, a region with a complex biogeographic history, to examine (a) whether species’ structural roles in pollination networks are determined by species, landscape, or island identity; (b) the impact of landscape heterogeneity and island identity on the mesoscale structure of pollination networks; and (c) the variation explained by landscape drivers and island identity in motif profiles compared to link composition. …”
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Impacts of Birds vs. Invertebrate Predators on Rocky Intertidal Community Structure by Bruce A. Menge

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Exploring Genetic Diversity and Population Structure of Australian Passion Fruit Germplasm by Xinhang Sun, Peter Bundock, Patrick Mason, Pragya Dhakal Poudel, Rajeev Varshney, Bruce Topp, Mobashwer Alam

“…The resulting genetic relationships revealed significant variation within rootstock populations. Bayesian cluster analysis in STRUCTURE showed that the rootstock population was divided into six distinct genetic groups, whereas only two subpopulations were identified among the scion accessions. …”
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Tailoring RP-structured two-dimensional perovskite with controlled interlayer distance by Hye-Ji Bae, Wonjong Lee, Siwon Yun, Meng Qiang Li, Jaewon Lee, Tae-Youl Yang, Jongchul Lim

“…In this study, we investigate the electronic structure and optical properties, such as bandgap and exciton binding energy of 2D perovskites, by modulating their interlayer distance through cation size variation. …”
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Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

“…This has motivated systematic data-driven approaches to integrate multi-dimensional structured datasets, since cancer development and progression is driven by numerous co-ordinated molecular alterations and the interactions between them. …”
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The Link between Galaxy Structure Properties and Star Formation in Local Galaxies by Zhimin Zhou, Wenwen Wang

“…To investigate the role of morphology in galaxy evolution, we analyze the relationships between galaxy structure, star formation, and H i gas content. Using multiband images from the DESI Legacy Imaging Surveys, we perform detailed structural decompositions on a representative local galaxy sample from xGASS. …”
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Structure variety and its potential effects on biological activity of tea polysaccharides by Ting Hu, Peng Wu, Jianfeng Zhan, Weixin Wang, Junfeng Shen, Meiyan Wang, Chi-Tang Ho, Shiming Li

“…Consequently, the variation of some TPS biological activity brought by the change of TPS structures has been evaluated and preliminary correlation of structure activity relationship of TPSs has been performed. …”
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Effect of Bacillus velezensis on the structure of the rhizosphere microbial community and yield of soybean by Dongxue Lv, Lei Zhang, Yuanhang Guo, Fengnian Zhao, Zhenxi Cao, Shiva Kumar Jha, Djifa Fidele Kpalari, Xingpeng Wang

“…This study investigated the soybean cultivar ‘Qihuang 34’ under three gradient treatments: Control, no Bacillus application, 0 kg/ha(CK), low Bacillus application, 15 kg/ha(BL), and high Bacillus application, 30 kg/ha(BH), analyzing the dynamic changes in rhizosphere soil microbial community structure and their effects on yield across different growth stages (vegetative(V2), flowering(R2), fruiting(R4) and pod-filling(R6)). …”
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