Migration and Accumulation Mechanisms of Heavy Metals in Soil from Maoniuping Rare Earth Elements Mining, Southwest China by Sijie He, Yang Li, Liang Tang, Fang Yang, Yuan Xie, Xuemin Liu, Lei Xu

“…The results showed that soils in the Nanhe River Basin presented different degrees of heavy metal pollution, with Pb and Cd being the most abundant, and the soils as a whole showed moderate-heavy ecological risks. The spatial distribution and correlation of heavy metals exhibited similar distribution patterns and sources. …”
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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

“…We tackled two key obstacles—the limited fusion of heterogeneous sensor data and inadequate modeling of long-range temporal patterns—by integrating wearable accelerometer and heart-rate streams with a convolutional neural network–LSTM (CNN-LSTM) architecture and optional attention modules. …”
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EEG oscillations reveal neuroplastic changes in pain processing associated with long-term meditation by Juliana Yordanova, Valentina Nicolardi, Peter Malinowski, Luca Simione, Salvatore M. Aglioti, Antonino Raffone, Vasil Kolev

“…EEG pain-related oscillations (PROs) were analysed in highly experienced practitioners and novices during a non-meditative resting state with respect to (a) local frequency-specific and temporal synchronizing characteristics to reflect mainly bottom-up mechanisms, (b) spatial synchronizing patterns to reflect the neural communication of noxious information, (c) pre-stimulus oscillations to reflect top-down mechanisms during pain expectancy, and (d) the P3b component of the pain-related potential to compare the emotional/cognitive reappraisal of pain events by expert and novice meditators. …”
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Preliminary Study on Near-Surface Air Temperature Lapse Rate Estimation and Its Spatiotemporal Distribution Characteristics in Beijing–Tianjin–Hebei Mountainous Region by Qichen Lv, Mingming Sui, Shanyou Zhu, Guixin Zhang, Yuxin Li

“…Moreover, the diurnal SATLR patterns from the second to fifth altitude grades exhibit consistency throughout the year and across seasons, albeit with varying overall values at different altitudes. …”
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Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute by Junpeng Ren, Jinwen Luo, Yingshi Huang, Vivek Shetty, Minjeong Jeon

“…Kernel density estimation of research migration patterns revealed 63.8% of scholars visibly shifted their publication focus toward mHealth-dense regions within three years post-training. …”
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Human–Nature Relationships in Country Parks at the Urban–Rural Fringe: A Case Study of the Huitian Region, Beijing by Zhenyu Li, Aibo Jin, Weijie Zhuang, Hui Li

“…These metrics are synthesized to map nature-suitability patterns and reveal divergences between human demand and ecological provisioning. …”
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Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

“…Time-series glacier change analysis that is closely linked to global climate patterns has drawn increasing attention. However, few studies focused on regional glacier mapping with high spatial resolution and accuracy. …”
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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…This model is then used to predict the monthly-average grid-wise PM2.5 concentrations in more than 800 grids in each of these two cities to study the spatial and temporal patterns in PM2.5 concentrations between 2016 and 2019. …”
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Study on relationship between shrinkage and transformation of resource-based cities in China by YANG He, XUE Dongqian, SONG Yongyong

“…[Results] (1) From 2000 to 2020, both shrinkage and transformation in China’s resource-based cities showed increasing trends, with a spatial clustering patterns. Shrinkage was mainly reflected in the population dimension, while transformation was most evident in the industrial and innovation dimensions. …”
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Tracking spatio-temporal LULC changes in key ecological network elements using fragmentation metrics and a custom raster-based approach: A multi-scale study from Poland by Marta Kubacka, Witold Piniarski, Patryk Żywica, Amy E. Frazier

“…EN components were analyzed at four spatial scales (supra-local, regional, national, international) and across buffer zones (250–1000 m) using landscape metrics to quantify spatial and temporal dynamics. …”
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Mechanisms of Ocean Acidification in Massachusetts Bay: Insights from Modeling and Observations by Lu Wang, Changsheng Chen, Joseph Salisbury, Siqi Li, Robert C. Beardsley, Jackie Motyka

“…These patterns arise from complex nonlinear interactions between physical and biogeochemical processes. …”
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Improvement of SAM2 Algorithm Based on Kalman Filtering for Long-Term Video Object Segmentation by Jun Yin, Fei Wu, Hao Su, Peng Huang, Yuetong Qixuan

“…Its streaming memory architecture maintains spatial context across video sequences, yet struggles with long-term tracking due to its static inference framework. …”
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A Reading on the Physical Evolution of Open and Semi-Open Spaces in Buildings in Tehran Late Qajar and First Pahlavi by Javaher Kooti, Jaleh Sabernejad, Mehrdad Matin

“…The formation of housing has been influenced by cultural, social, economic and political patterns that has evolved in relation to its environment. …”
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Spatio-temporal distribution of global stromatolites through geological time identified by a large language model approach by Hao Li, Min Zhang

“…The distribution patterns suggest significant shifts in environmental conditions and provide valuable insights into paleogeographical and ecological dynamics. …”
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Assessment of Scientific Creative-Potential by Near-Infrared Spectroscopy Using Brain-Network-Based Deep-Fuzzy Classifier by Sayantani Ghosh, Amit Konar, Atulya K. Nagar

“…The work presents a novel approach to assess the scientific creative ability of subjects by analyzing their brain connectivity patterns through functional Near-Infrared Spectroscopy (fNIRS) during participation in an analogical reasoning test. …”
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Pollution Characterization, Meteorological Effects, and Sources of Carbon Aerosols in PM2.5 in Urban Xiangtan during Winter by Lizhi He, Zhenghui Xiao, Cheng Xie, Yangfei Ou, Sisi Wang

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Convolutional neural network-based deep learning for landslide susceptibility mapping in the Bakhtegan watershed by Li Feng, Maosheng Zhang, Yimin Mao, Hao Liu, Chuanbo Yang, Ying Dong, Yaser A. Nanehkaran

“…While traditional statistical methods often fail to extract spatial hierarchies, the CNN model effectively processes multi-dimensional geospatial data, learning intricate patterns influencing slope instability. …”
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A Neighborhood Approach for Using Remotely Sensed Data to Estimate Current Ranges for Conservation Assessments by Bethany A. Johnson, Gonzalo E. Pinilla‐Buitrago, Robert P. Anderson

“…However, the results highlight spatial patterns of loss throughout the range not reflected in these metrics, illustrating drawbacks of EOO and showing how localized losses largely disappeared when resampling to the 2 × 2 km grid required for AOO. …”
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The geography of inequalities in access to healthcare across England: the role of bus travel time variability by Zihao Chen, Federico Botta

“…Using comprehensive bus timetable data from the Bus Open Data Service, we calculated hourly travel times from each Lower layer Super Output Area (LSOA) to the nearest hospitals and general practices and developed a TTV metric for each LSOA and analysed its geographical inequalities across various spatial scales. Our analysis reveals notable spatial–temporal patterns of TTV and average travel times, including an urban–rural divide, clustering of high and low TTV regions, and distinct outliers. …”
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Multiple highly methylated CpG sites as potential epigenetic markers for the diagnosis of prostate cancer by Jean-Pierre Roperch, Guillaume Charbonnier, Sandy Figiel, Alastair Lamb, Ian Mills, Claude Hennion, Géraldine Cancel-Tassin, Olivier Cussenot

“…Differential expression of these candidate genes was analyzed first, using an Affymetrix RNA array dataset from a cohort of 68 non-tumor samples and 101 tumors with different aggressiveness patterns and, second, by in situ expression using Visium 10X spatial genomics transcriptomics on eight prostate tissue sections with different tumor grades and non-tumor glands. …”
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