Chronic circadian disruption in adolescent mice impairs hippocampal memory disrupting gene expression oscillations by Ines Gallego-Landin, Paula Berbegal-Sáez, Olga Valverde

“…Gene expression analyses revealed altered oscillation patterns of circadian clock genes in the hypothalamus and hippocampus. …”
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Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management by Cristina Vidal-Riveros, William Jefferson Watler Reyes, Marie Ange Ngo Bieng, Pablo Souza-Alonso

“…This study analyzed the fire regime in the highly diverse Paraguayan Chaco, focusing on different aspects of fire patterns, including spatial (area burned) and temporal (frequency) aspects and magnitude (severity). …”
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Bridging the Gap Between Active Faulting and Deformation Across Normal-Fault Systems in the Central–Southern Apennines (Italy): Multi-Scale and Multi-Source Data Analysis by Marco Battistelli, Federica Ferrarini, Francesco Bucci, Michele Santangelo, Mauro Cardinali, John P. Merryman Boncori, Daniele Cirillo, Michele M. C. Carafa, Francesco Brozzetti

“…The interferometric analysis confirmed a significant role of gravitational movements in denudating some fault planes while highlighting a clustered spatial pattern of hillslope instabilities. In this context, these instabilities can be considered a proxy for the control exerted by tectonic structures. …”
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Spatio-Temporal Variations of Indonesian Rainfall and Their Links to Indo-Pacific Modes by Melly Ariska, Suhadi, Supari, Muhammad Irfan, Iskhaq Iskandar

“…The analysis of rainfall patterns in the Indonesian region utilized the Empirical Orthogonal Function (EOF) method to identify spatial and temporal variations. …”
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Bibliometric mapping of urban ecology and urban decline (2010-2024): Trends, themes and network structures by Pogrmić Zorica

“…Sub-period analyses also showed no significant monotonic patterns, though publication peaks in 2014, 2018, and 2021 suggest research surges linked to global and European initiatives. …”
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Evaluating Robotic Walker Performance: Stability, Responsiveness, and Accuracy in User Movement Detection by Larisa Dunai, Isabel Seguí Verdú, Sui Liang, Ismael Lengua Lengua

“…Principal Component Analysis (PCA) and t-SNE dimensionality reduction techniques were applied to analyze the inertial (IMU) and proximity (TOF) sensor data, complemented by motor control monitoring through wheel Hall sensors, to explore gait patterns and system performance. Additionally, synchronized measurements between the user’s and walker’s inertial units and Time-of-Flight sensors allowed the evaluation of spatial alignment and motion correlation. …”
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The Bayesian Gaussian mixture model with nearest-neighbor distance (BGMM-NND) algorithm: A new earthquake clustering method and its application to the Sichuan–Yunnan Block by JieYi Hou, Feng Hu, Yang Zang, LingYuan Meng

“…By integrating cumulative probability and BGMM with principal component analysis (PCA), the BGMM-NND algorithm effectively distinguishes between background and triggered earthquakes while maintaining the magnitude component and resolving the issue of excessively large spatial cluster domains. We apply the BGMM-NND algorithm to the Sichuan–Yunnan seismic catalog from 1971 to 2024, revealing notable variations in earthquake frequency, triggering characteristics, and recurrence patterns across different fault zones. …”
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Strathalan Cave revisited: Stone Age networks and environments at the foot of the Drakensberg, South Africa by Jerome Reynard, Peter Morrissey, Dominic Stratford

“…People have occupied Strathalan Cave intermittently from ca. 29 000 years ago (ka), so exploring occupational patterns at sites such as these is a valuable means of understanding Stone Age behaviour during glacial Marine Isotope Stage 2 (ca. 29-14 ka). …”
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Deep Learning for Telecom Self-Optimized Networks: Benefits and Implications by Farah Alhaqui, Iyad Lahsen-Cherif, Mariam Elkhechafi, Ahmed Elkhadimi

“…This study introduces an efficient traffic prediction approach that combines an innovative data partitioning strategy to capture spatial dependencies with Long Short-Term Memory (LSTM) networks to model temporal patterns. …”
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New perspectives for the Annelida collection (National Museum/UFRJ) database: using data visualization to analyze and manage biological collections by Camila Simões Martins de Aguiar Messias, Carlos Cesar de Oliveira Fonseca, Monique Cristina dos Santos, Asla M. Sá, Joana Zanol

“…Data analyses using these graphs made it possible to identify anomalous patterns in the data and fill in missing records. They also provided an understanding of the spatial and bathymetric distribution of the specimens deposited over time, and the growth rate of the collection in each family, thus projecting future growth and solutions for the physical organization of vials. …”
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Workflow of a Preclinical Robotic Magnetic Resonance Imaging-guided Focused Ultrasound Body System by Nikolas Evripidou, Anastasia Antoniou, George Lazarou, Leonidas Georgiou, Antreas Chrysanthou, Cleanthis Ioannides, Christakis Damianou

“…Following treatment planning on preoperative MR images, porcine tissue samples were sonicated in rectangular and irregular grid patterns with varying ultrasonic parameters and spatial step under software-based monitoring. …”
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Spatio-Temporal Paths and Influencing Factors of Residential Mobility in Guangzhou: A Micro-Level Perspective of Newly Employed College Graduates by Xiangjun Dai, Chunshan Zhou, Xiong He

“…Residential mobility within cities reflects the spatio-temporal patterns of individual or household relocation behaviors and serves as an effective tool for interpreting urban socio-spatial differentiation from a micro-level perspective. …”
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Analysis of Students Specializing and Generalizing Thinking in Three-Dimensional Geometry by Moh. Fauzi Jamiludin, Abi Suwito, Susanto, Frenza

“…The findings indicate that students exhibit distinct cognitive patterns in specializing and generalizing, with a predominant reliance on visual reasoning in spatial geometry problem-solving. …”
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New perspectives for the Annelida collection (National Museum/UFRJ) database: using data visualization to analyze and manage biological collections by Camila Simões Martins de Aguiar Messias, Carlos Cesar de Oliveira Fonseca, Monique Cristina dos Santos, Asla M. Sá, Joana Zanol

“…Data analyses using these graphs made it possible to identify anomalous patterns in the data and fill in missing records. They also provided an understanding of the spatial and bathymetric distribution of the specimens deposited over time, and the growth rate of the collection in each family, thus projecting future growth and solutions for the physical organization of vials. …”
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MIGRATION TRENDS IN THE RUSSIAN ARCTIC: CHALLENGES AND STRATEGIES FOR POPULATION RETENTION by Ekaterina A. Bazhutova

“…This study examines migration flows across the Russian Arctic to identify key patterns and develop strategies for population retention. …”

The use of miniaturised Bluetooth Low Energy proximity loggers to study contacts among small rodents in agricultural settings. by Florian Huels, Bram Vanden Broecke, Vincent Sluydts, Lucinda Kirkpatrick, Ivan Herrera Olivares, Hendrik Ennen, Dries Vermeiren, Herwig Leirs, Jens Jacob

“…Frequent contacts between wild rodents and livestock favour pathogen transfer and it is therefore important to understand the movement patterns of small mammals in order to develop strategies to prevent damage and health issues. …”
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Atmospheric Rivers in Africa Observed with GNSS-RO and Reanalysis Data by Linda Martina Maier, Bahareh Rahimi, Ulrich Foelsche

“…This study addresses this gap by analyzing the occurrence, seasonal variability, and spatial dynamics of ARs across the continent from 2009 to 2019. …”
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Climatic stability drives latitudinal trends in range size and richness of woody plants in the Western Ghats, India. by Navendu V Page, Kartik Shanker

“…Understanding the determinants of range location and size is fundamental to our understanding of spatial patterns in species richness. Here, we aimed to test the role of 'climatic stability' in determining latitudinal trends in range size and as a consequence on species richness of tropical woody plants. …”
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Drivers of plant-associated invertebrate community structure in West-European coastal dunes by Ruben Van De Walle, Maxime Dahirel, Ward Langeraert, Dries Benoit, Pieter Vantieghem, Martijn L. Vandegehuchte, François Massol, Dries Bonte

“…Traits and phylogeny had a minor influence on the species distribution patterns. The residual species covariation suggests negative interactions between groups of specialist and generalist species. …”
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Integrating remote sensing, GIS, and machine learning for zoonotic cutaneous leishmaniasis modelling by Fatemeh Parto Dezfooli, Mohammad Javad Valadan Zoej, Fahimeh Youssefi, Ebrahim Ghaderpour

“…Utilizing data from 2014 to 2019, spatial and temporal patterns are investigated using Moran’s I, Getis-Ord Gi* statistics, and the Mann-Kendall (MK) test, while high-risk ZCL maps are generated through Extreme Gradient Boosting (XGBoost) and Random Forest (RF) models. …”
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