Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Convolutional Neural Networks are used to extract spatial features from agricultural data, while Long Short-Term Memory networks processed time series data. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…These results reveal a key insight: preprocessing enhances linear model accuracy but may suppress critical non-linear patterns needed by tree-based models like XGBoost. …”
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Providing Basic Information for Integrated Management and Restoration of Rivers through Assessing the Human Pressures at Different Scales (Case Study: Talar River Catchment) by Zohreh Talebi, Seyyed Ali Ayyoubzadeh, Hossein Mostafavi, Mohammad Mahdi Hosseinzadeh

“…However, there is limited information available regarding the prevalence, spatial patterns, mutual impacts, and simultaneous occurrences of these pressures. …”
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PSD95 suppresses dendritic arbor development in mature hippocampal neurons by occluding the clustering of NR2B-NMDA receptors. by Fernando J Bustos, Lorena Varela-Nallar, Matias Campos, Berta Henriquez, Marnie Phillips, Carlos Opazo, Luis G Aguayo, Martin Montecino, Martha Constantine-Paton, Nibaldo C Inestrosa, Brigitte van Zundert

“…Analysis of the dendritic architecture and the temporal and spatial expression patterns of the NMDARs and anchoring proteins in immature cultures revealed a strong positive correlation between synaptic expression of the NR2B subunit and dendritogenesis. …”
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Could alien Impatiens capensis invade habitats of native I. noli-tangere in Europe? – Contrasting effects of microhabitat conditions on species growth and reproduction by Monika Myśliwy, Beata Bosiacka, Mateusz Bosiacki, Patrycja Kupnicka, Dariusz Chlubek, Agnieszka Rewicz

“…The two species have overlapping environmental distributions, but the range of habitats supporting I. noli-tangere is narrower than that of I. capensis. The contrasting patterns in species traits result from different responses of each Impatiens species to environmental factors. …”
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Weather-Based Prediction Models for the Prevalence of Dengue Vectors Aedes aegypti and Ae. albopictus by J. M. Manel K. Herath, Hemalika T. K. Abeyasundara, W. A. Priyanka P. De Silva, Thilini C. Weeraratne, S. H. P. Parakrama Karunaratne

“…Vector densities are significantly affected by the changing weather patterns of a region. The present study was conducted in three selected localities, i.e., urban Bandaranayakapura, semiurban Galgamuwa, and rural Buluwala in the Kurunegala district of Sri Lanka to assess spatial and temporal distribution of dengue vector mosquitoes and to predict vector prevalence with respect to changing weather parameters. …”
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Information-Theoretical Analysis of Team Dynamics in Football Matches by Yi-Shan Cheng, Acer Yu-Chan Chang, Kenji Doya

“…This study offers a novel perspective on team coordination in football, suggesting that effective team coordination may be characterized by emergent patterns arising from collective positioning. These findings have practical implications for understanding coordinated team behaviors and inform coaching and performance analysis focused on enhancing team dynamics.…”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…The model synergizes CNNs for hierarchical spatial feature extraction and SNNs for biologically inspired temporal dynamics processing. …”
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Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks by Sakonporn Noree, Willmer Rafell Quinones Robles, Young Sin Ko, Mun Yong Yi

“…While deep learning approaches have shown promise in WSI analysis, they mostly overlook potential common patterns across different slices of the original tissue. …”
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Integrative population genomics and ecological niche modelling analyses illuminates the demographic history and inform conservation strategies of Calycanthus chinensis, a criticall... by Qiang Li, Ran Wei, Yuliang Wang

“…Climate changes have profoundly influenced the evolutionary history of plants, particularly for endangered species with narrow habitat ranges, which renders them disproportionately vulnerable to the impacts of climate change. Elucidating the spatial distribution of genetic variation and demographic patterns within threatened species populations provides essential empirical evidence for designing biologically meaningful conservation interventions. …”
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De l’hypothese de Sapir-Whorf au prototype : sources et genese de la theorie d’Eleanor Rosch. by Jean-Michel Fortis

“…The influence of Roger Brown is perhaps discernible too, and may have played a role in Rosch’s emphasis on action patterns. Thus, it is shown that Rosch’s theory makes up a “conceptual patchwork” which progressively gained coherence and unity by incorporating constructs of various origins.…”
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Exploring the Nonlinear Impacts of Built Environment on Urban Vitality from a Spatiotemporal Perspective at the Block Scale in Chongqing by Jiayu Yang, Enxu Wang

“…Examining the relationship between built environment (BE) and urban vitality (UV) is beneficial for promoting urban planning, as it deepens the understanding of how spatial design shapes urban life and activity patterns. …”
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Organic molecules are deterministically assembled in variably inundated river sediments, but drivers remain unclear by James C. Stegen, Vanessa A. Garayburu-Caruso, Robert E. Danczak, Rosalie K. Chu, Amy E. Goldman, Sophia McKever, Lupita Renteria, Jason Toyoda, WHONDRS Consortium

“…This conceptual model aligns with previous work linking DOM chemistry to the Damköhler number and hydrologic connectivity, suggesting generalizable patterns and processes that can be further revealed by quantifying the stochastic-deterministic balance through space, time, and across scales.…”
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Real-Time Fire Risk Classification Using Sensor Data and Digital-Twin-Enabled Deep Learning by In-Seop Na, Vani Rajasekar, Velliangiri Sarveshwaran

“…Advanced deep learning architectures such as convolutional neural networks (CNNs), deep CNNs (DCNNs), and recurrent neural networks (RNNs) are utilized to identify critical spatial and temporal patterns in the data. The models are trained on a comprehensive dataset encompassing environmental indicators, fire-prone area characteristics, and real-time meteorological data. …”
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A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks by Lukas Fichtl, Daniel Leitner, Andrea Schnepf, Dominik Schmidt, Katrin Kahlen, Matthias Friedel

“…We then parameterized it to simulate genotype-specific growth patterns of grapevine rootstocks and integrated root hydraulic properties to derive a standard uptake fraction (SUF) for each genotype. …”
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Bidirectional Adaptation of Shared Autonomous Vehicles and Old Towns’ Urban Spaces: The Views of Residents on the Present by Sucheng Yao, Kanjanee Budthimedhee, Sakol Teeravarunyou, Xinhao Chen, Ziqiang Zhang

“…In heritage-rich environments like very old Asian (such as Suzhou old town, which serves as a use case example) or European (especially Mediterranean coastal cities) areas—characterized by narrow alleys, dense development, and sensitive cultural landscapes—shared autonomous vehicle adoption raises critical spatial and social questions. This study employs a qualitative, user-centered approach based on the ripple model to examine residents’ perceptions across four dimensions: residential patterns, parking land use, regional accessibility, and street-level infrastructure. …”
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A review on new industrial path development in special-type regions by HU Xiaohui, LIN Tanchen, JIE Dongzheng, LI Jiangsu

“…How to identify the patterns of interaction between structure and agency in various geographical contexts, understand the path emergence and effects of different combinations on regional economies, is the key to studying this topic. …”
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Protozoa-driven micro-food webs shaping carbon and nitrogen cycling in reservoir ecosystems by Xue Wang, Jinxian Liu, Baofeng Chai, Tiehang Wu

“…Our findings revealed distinct spatial patterns in micro-food web complexity and stability, with the highest diversity and interaction density in inflowing river zones and a gradual simplification towards deep-water zones. …”
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Non-stationary analysis of future floods using physical covariates and implications for dams across Canada by Dona Maria, Agus Sasmito, Laxmi Sushama, Muhammad Naveed Khaliq

“…From a set of 10 non-stationary models, considering maximum snow water equivalent, average annual temperature, spring-summer rainfall, fall-winter rainfall, and their combinations as plausible physical covariates, the preferred model for each grid cell is selected through a corrected form of the Akaike Information Criterion. The spatial patterns of physical covariates of the preferred models are, in general, found consistent with the flood generating mechanisms. …”
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Urban Heat Island phenomenon and the role of urban green spaces in regulating thermal comfort in Bogor City, Indonesia by Sonya Okta Deviro, Lina Karlinasari, Ati Dwi Nurhayati

“…This research integrated remote sensing analysis using Landsat 8 OLI/TIRS imagery with field-based measurements of the Temperature Humidity Index (THI) to assess spatial patterns of Land Surface Temperature (LST), vegetation cover (NDVI), and built-up area expansion (NDBI). …”
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