Changes toward sustainability in consumer purchasing behaviour of everyday products by Irena Baláková, Michal Pšurný, Jana Stávková, Veronika Švecová

“…The influence of determinants on real, sustainable purchasing behaviour is evaluated using a PLS-SEM model. The PLS-SEM structural modelling demonstrated a significant impact of all determinants on real, sustainable purchasing behaviour. …”
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5X5 Rod Bundle Flow Field Measurements Downstream a PWR Spacer Grid by Higor Fabiano Pereira de Castro, Vitor Vasconcelos Araújo Silva, Andre Augusto Campagnole dos Santos, Maria Auxiliadora Fortini Veloso

“…The turbulence intensities and patterns of the swirl and cross flow were evaluated. …”
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Equivariant learning leveraging geometric invariances in 3D molecular conformers for accurate prediction of quantum chemical properties by Jianhua Sun, Ye Cao, Huijing Hu, Baoqiao Qi

“…By leveraging these structurally-informed 3D embeddings, 3DMSE constructs a robust and interpretable model capable of unraveling the delicate patterns that bridge molecular geometry and thermodynamic behavior. …”
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Assessing the multi-scale predictive ability of ecosystem functional attributes for species distribution modelling. by Salvador Arenas-Castro, João Gonçalves, Paulo Alves, Domingo Alcaraz-Segura, João P Honrado

“…In this regard, satellite-derived Ecosystem Functional Attributes (EFAs) offer a more integrative and quicker evaluation of ecosystem responses to environmental drivers and changes than climate and structural or compositional landscape attributes. …”
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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…First, most methods fail to adequately integrate multimodal information such as sequence, structure, and disorder properties, leading to inadequate characterization of complex interaction patterns. …”
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Morphological and Morphometric Analysis of Pterion: A Cross-sectional Study from Eastern India by Phalguni Srimani, Mithu Paul, Shukchand Hansda

“…A precise understanding of the morphology and exact location of this sutural pattern, which may serve as a superficial projection of various deep-seated brain structures, is pertinent to preoperative planning, operative procedures and postoperative outcomes during neurosurgical interventions in the cranial fossae. …”
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RADON IN GROUNDWATERS IN THE BAIKAL REGION AND TRANSBAIKALIA: VARIATIONS IN SPACE AND TIME by K. Zh. Seminsky, A. K. Seminsky

“…Most of the water sources sampled in the Baikal region and Transbaikalia belong to Groups I and II, which allows us to recommend an objectively existing value of 100 Bq/l as the level of intervention in the preparation of drinking water in this region, instead of the limit of 60 Bq/l that is now approved in Russia.In order to identify the special patterns of groundwater sources in the Baikal region and Transbaikalia, which belong to different radioactivity groups, we sampled these sources along the transect from Bayanday to Muhorshibir, across the Baikal rift and other large regional tectonic structures (Fig. 4). …”
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Technology and practice for efficient development of coalbed methane horizontal wells in high-rank coal of Qinshui Basin by WU Xi

“…Investigations into microstructures, coal body structures, in-situ stresses, and fractures—combined with an evaluation of various geological factors’ impact on production—enabled a multidimensional division of development units to identify the geological features of each unit. …”
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Exploring Design Approaches for 3D Printed Antennas by Saul S. Carvalho, Joao R. V. Reis, Artur Mateus, Rafael F. S. Caldeirinha

“…This comprehensive review explores advancements in the design, fabrication and performance evaluation of three-dimensional (3D) printed antennas, across different frequency ranges. …”
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Unit Size Determination for Exploratory Brain Imaging Analysis: A Quest for a Resolution-Invariant Metric by Jihnhee Yu, HyunAh Lee, Zohi Sternberg

“…The resolution-independent metric can be used for unit size evaluation, ensuring adaptability across different imaging protocols and modalities. …”
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Learning a cross-scale cross-view decoupled denoising network by mining Omni-channel information by Song Qian, Yan Xue, Youbao Chang

“…Traditional denoising methods often fail to address the complex noise patterns in such scenarios, which can adversely affect feature encoding and subsequent processing tasks. …”
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A Comprehensive Analysis of Early Alzheimer Disease Detection from 3D sMRI Images Using Deep Learning Frameworks by Pouneh Abbasian, Tracy A. Hammond

“…Our experiments utilized structural Magnetic Resonance Imaging (sMRI) data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset, specifically the ADNI3 collection. …”
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Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets by D. Dalmonech, E. Vangi, M. Chiesi, G. Chirici, L. Fibbi, F. Giannetti, G. Marano, C. Massari, A. Nolè, J. Xiao, A. Collalti

“…We developed a methodology to initialize the model that includes information derived from the integration of Remote Sensing (RS) and the National Forest Inventory (NFI) data and regional forest maps to characterize structural features of the main forest species. Gross primary production (GPP) is simulated over 2005–2019 period and the model predictive capability of the model in simulating GPP is evaluated both aggregated as at species-level through multiple independent data sources based on different nature RS-based products. …”
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A Century of Economic Development: Assessing the Governance of the National Development Planning System in Türkiye by Rahim Taghizadeh

“…With the systemic approach, we intend to describe the interactions and relationships of the components and elements of the planning system to achieve the objectives. The evaluation of the governance pattern of the planning system shows that the development planning system in Türkiye has been dynamic and has evolved over the past one hundred years through structural reforms. …”
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The Impact of Microscopic Pore Network Characteristics on Movable Fluid Properties in Tight Oil Reservoir by Jie Gao, Hu Wang, Xiaojun Ding, Qingxiao Yuchi, Qiang Ren, Bo Ning, Junxiang Nan

“…There is an obvious difference between the movable fluid parameters and the microscopic characteristic factors in tight oil reservoirs due to the difference in physical properties, clay mineral content, microcracks, and pore structure characteristics. This research has provided a new perspective for the movable fluid property evaluation, and the relevant results can give some advice for the oil field development.…”
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Fractional Transfer Entropy Networks: Short- and Long-Memory Perspectives on Global Stock Market Interactions by Ömer Akgüller, Mehmet Ali Balcı, Larissa Margareta Batrancea, Lucian Gaban

“…These findings demonstrate that FTE uncovers nuanced dynamics overlooked by methods focusing solely on either current events or deep-rooted patterns. Although the method relies on price returns and does not differentiate specific shock types, it offers a versatile tool for investors, policymakers, and researchers to gauge financial stability, evaluate contagion risk, and better understand how ephemeral signals and historical legacies jointly govern global market connectivity.…”
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Pose estimation for health data analysis: advancing AI in neuroscience and psychology by Juan Yu, Daoyu Zhu

“…IntroductionThe integration of artificial intelligence (AI) with health data analysis offers unprecedented opportunities to advance research in neuroscience and psychology, particularly in extracting meaningful patterns from complex, heterogeneous, and high-dimensional datasets. …”
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An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England. by Jonathon Mellor, Maria L Tang, Emilie Finch, Rachel Christie, Oliver Polhill, Christopher E Overton, Ann Hoban, Amy Douglas, Sarah R Deeny, Thomas Ward

“…These models were evaluated over weekly nowcasts using a probabilistic scoring framework.…”
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Research on Detection Methods for Gas Pipeline Networks Under Small-Hole Leakage Conditions by Ying Zhao, Lingxi Yang, Qingqing Duan, Zhiqiang Zhao, Zheng Wang

“…However, existing methods often fail to effectively model the time-varying structural data of pipelines, limiting their detection capabilities. …”
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Rumor detection using dual embeddings and text-based graph convolutional network by Barsha Pattanaik, Sourav Mandal, Rudra M. Tripathy, Arif Ahmed Sekh

“…Their success is due to their ability to identify structural patterns in rumors and effectively use neighborhood information. …”
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