Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms by Hanqi Li, Jiayi Zhang, Yu Shi, Huanhuan Wang, Ruida Yang, Shaobo Wu, Yue Li, Xue Yang, Qingguang Liu, Liankang Sun

“…PPARG, the key gene with the greatest contribution to the model, was selected for validation. Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) analyses assessed matrix stiffness activity scores across different cell subgroups and examined PPARG spatial localization within tissues. …”
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Prognostic and immunotherapeutic potential of disulfidptosis-associated signature in pancreatic cancer by Ran Cui, Gaoming Wang, Renhao Hu, Yongkun Wang, Huiling Mu, Yanxiang Song, Bo Chen, Xiaohua Jiang

“…An 8-gene disulfidptosis-related prognostic signature was established by constructing massive LASSO-Cox regression models and validated by multiple external PDAC cohorts. …”
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Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals by Felicitas Oehler, Janosch Arnold, Klaus Hackländer, Johannes Signer, Stéphanie C. Schai-Braun, Robert Hagen

“…Methods We tested whether early warning signals (EWSs) on time series of the NSD, can be used to predict dispersal events. To identify EWSs we conducted a rolling window approach and evaluated the dispersal events by performing a spatial cluster analysis with the mechanistic range shift analysis (MRSA). …”
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Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

“…The agreement between the yield category maps and those predicted from the crop condition time series by our Random Forest model was 84.56%, while the F1 score was 0.74 with a two-category yield map. …”
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Kinship Systems and the Internalization of Islamic Values among the Madurese Community in Tanean Lanjheng by Zainal Fanani, Vika Wafa Ilmi, Wahidah Zein Br Siregar

“…This study underscores the importance of revitalizing locally based Islamic values to confront modernization and highlights the potential of traditional settlements as contextual and rooted models for Islamic values education.   Abstrak: Sistem kekerabatan di Tanean Lanjheng berperan penting dalam mewariskan dan menginternalisasi nilai-nilai keislaman dalam kehidupan masyarakat Madura. …”
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Diurnal Variations in Greenspace Cooling Efficiency and Their Non-Linear Responses to Meteorological Change: Hourly Analysis of Air Temperature in Changsha, China by Yang Li, Weiye Wang, Xin Li, Wei Liao, Xiaoma Li

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Neuromorphic Readout for Hadron Calorimeters by Enrico Lupi, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Abhijit Das, Andrea De Vita, Tommaso Dorigo, Nicolas Ralph Gauger, Ralf Keidel, Jan Kieseler, Anders Mikkelsen, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore

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Comparison of methods for resolving the contributions of local emissions to measured concentrations by T. D. Edwards, Y. K. Wong, C.-H. Jeong, J. M. Wang, Y. Su, G. J. Evans

“…When testing algorithmic predictions of upwind-of-highway backgrounds, we found that regression models surpassed the performance of time-series methods, with best predictions having <span class="inline-formula"><i>R</i>²</span> exceeding 0.8 for all four pollutants. …”
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Assessment of the green development level and the identification of obstacles to grass-based livestock husbandry in the farming–pastoral ecotone of northern China by Dan Liu, Jianjun Jin, Xuan Zhang, Xin Qiu, Rui He, Jie Yang

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Assessing urban-rural NO2 trend of the Tibetan Plateau via satellite observations by Maolin Zhang, Ge Song, Shiyao Meng, Chunying Fan, Jiarui Chen, Zhujun Li, Huangchuan Liu, Ruilin Wang, Zhiyong Lin, Siwei Li

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A world malaria map: Plasmodium falciparum endemicity in 2007. by Simon I Hay, Carlos A Guerra, Peter W Gething, Anand P Patil, Andrew J Tatem, Abdisalan M Noor, Caroline W Kabaria, Bui H Manh, Iqbal R F Elyazar, Simon Brooker, David L Smith, Rana A Moyeed, Robert W Snow

“…Of these, 7,953 passed strict data fidelity tests for inclusion into a global database of PfPR data, age-standardized to 2-10 y for endemicity mapping. A model-based geostatistical procedure was used to create a continuous surface of malaria endemicity within previously defined stable spatial limits of P. falciparum transmission. …”
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Error-Mask-Adaptive Dynamic Filtering for Image Inpainting by Keunsoo Ko, Seunggyun Woo, Chang-Su Kim

“…In an EMDF layer, we determine a spatially varying filter adaptively according to an error mask and perform separable dynamic filtering. …”
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Exploring replay by Georgy Antonov, Peter Dayan

“…Here, we extend an influential theory of hippocampal replay and examine its potential role in approximately optimal exploration, deriving testable predictions for the patterns of exploratory replay choices in a paradigmatic spatial navigation task. …”
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Global database of actual nitrogen loss rates in coastal and marine sediments by Y. Chang, E. Tan, D. Gao, C. Liu, Z. Zhang, Z. Huang, J. Liu, Y. Han, Z. Xu, B. Chen, S.-J. Kao

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Influence of soundtrack on eye movements during video exploration by Antoine Coutrot, Nathalie Guyader, Gelu Ionescu, Alice Caplier

“…Models of visual attention rely on visual features such as orientation, intensity or motion to predict which regions of complex scenes attract the gaze of observers. …”
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Monitoring soil salinization in Arid cotton fields using Unmanned Aerial Vehicle hyperspectral imagery by Jinming Zhang, Jianli Ding, Jiao Tan, Jinjie Wang, Zihan Zhang, Zeyuan Wang, Xiangyu Ge

“…The results indicate: (1) SG smoothing and FOD technology effectively enhanced the spectral characteristics of cotton field soils and crop canopies. (2) The soil salinity prediction model constructed using 0.7-order FOD combined with the BOSS algorithm yields the best performance, with an R2 of 0.92, RMSE of 0.15 dS m−1, and RPD of 3.54 on the test set. (3) The soil salinity distribution map generated from the optimal model clearly revealed the spatial distribution characteristics of salinity in the 0–10 cm topsoil layer, with significant differences observed under different cover conditions. …”
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Spatio-temporal heterogeneity of metro ridership under major epidemic conditions. by Baixi Shi, Lijie Yu, Qi Yang, Na Zhang, Nanxi Yang

“…This paper investigates these changes by employing a Geographically and Temporally Weighted Regression (GTWR) model to analyze the spatial and temporal impacts throughout the pandemic. …”
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Likelihood testing of seismicity‐based rate forecasts of induced earthquakes in Oklahoma and Kansas by M. P. Moschetti, S. M. Hoover, C. S. Mueller

“…Abstract Likelihood testing of induced earthquakes in Oklahoma and Kansas has identified the parameters that optimize the forecasting ability of smoothed seismicity models and quantified the recent temporal stability of the spatial seismicity patterns. …”
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Cities as Organisms: Allometric Scaling of Urban Road Networks by Horacio Samaniego, Melanie E. Moses

“…Per capita road capacity is independent of the spatial extent of cities. Driving distances do depend on the size of the city, although not as much as is predicted by a completely centralized model. …”
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Trajectory privacy protection scheme based on differential privacy by Si CHEN, Anmin FU, Mang SU, Huaijiang SUN

“…To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient sampling model based on time generalization and spatial segmentation was presented, and a k-means clustering algorithm was designed to process sampling data.By employing the differential privacy mechanism, the trajectory data was disturbed to solve the user privacy leaking problem caused by the attacker with powerful background knowledge.Simultaneously, to respond to the error boundary of the query range of pandemic, an effective prediction mechanism was designed to ensure the availability of released public track data.Simulation results demonstrate that compared with the existing trajectory differential privacy protection methods, the proposed scheme has obvious advantages in terms of processing efficiency, privacy protection intensity, and data availability.…”
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