Speciation and biogeochemical behavior of perfluoroalkyl acids in soils and their environmental implications: A review by Chao Guo, Shiwen Hu, Pengfei Cheng, Kuan Cheng, Yang Yang, Guojun Chen, Qi Wang, Ying Wang, Tongxu Liu

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Geospatial Spatiotemporal Analysis of Tourism Facility Attractiveness and Tourism Vitality in Historic Districts: A Case Study of Suzhou Old City by Mi Zhou, Jianqiang Yang

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Hierarchical multi‐modal video summarization with dynamic sampling by Lingjian Yu, Xing Zhao, Liang Xie, Haoran Liang, Ronghua Liang

“…Abstract Previous video summarization methods often neglected inter‐frame variations during the preprocessing stage. …”
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Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature by John Kamwele Mutinda, Amos Kipkorir Langat, Samuel Musili Mwalili

“…By combining statistical and deep learning methods, hybrid models incorporating VMD offer a comprehensive solution for accurate temperature prediction, with implications for climate modeling and environmental monitoring.…”
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eDNAjoint: An R package for interpreting paired or semi‐paired environmental DNA and traditional survey data in a Bayesian framework by Abigail G. Keller, Ryan P. Kelly

“…The model can be used to estimate parameters like the probability of a false positive eDNA detection and mean catch rate at a site, and the package allows access to multiple model variations and Bayesian prior customization. Additional functionality can be used for model selection, summarising posteriors and comparing the relative sensitivities of the two survey methods. …”
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The impact of public lighting improvement on crimes and incivilities reduction in Chile by Pablo Cadena-Urzúa, Javier Guardiola, Francisco Montes

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UAV Path Planners in Complex Environments: A Multi-Dimensional Perturbation Based on Artificial Bee Colony by Xuzhao Chai, Guanhao Zhou, Haoyu Wang, Ping Liu, Zhongyun Liu, Chao Li, Li Yan

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Can we really use design-free hydroacoustic data from fishing vessels for assessing abundance and distribution of marine species? A proof of concept analysis on Antarctic krill by J.A. Canseco, E.J. Niklitschek, G. Skaret

“…Despite observed differences in mean estimates, both methods identified similar areas of high presence and density of Antarctic krill north and north-west of the South Orkney Islands. …”
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Uncovering Diagnostic Correlations Between Traditional Chinese and Western Medicine Using Instrumental Variable Models in Cardiometabolic Patients: Evidence from 1.2 Million Record... by Zhou J, Zhou S, Chen H, Chen X, Zou G, Gao Y, Jing S, Bishai DM, Li J, Zhong A, Liu Z, Liu A

“…It introduces a new statistical approach to understanding the correlation between these two diagnostic systems, offering insights into integrated medicine for secondary prevention.Keywords: cardiometabolic diseases, western medicine, TCM syndromes, instrumental variable methods, errors in variable…”
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Soil tillage methods by years interaction for dry matter of plant yield of maize (Zea mays L.) using additive main effects and multiplicative interaction model by Jan Bocianowski, Piotr Szulc, Kamila Nowosad

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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

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Spatial variation and associated genes of total hair follicle density in goats by Jipan Zhang, Ziyi Chen, Siyuan Zhang, Guoqiu Li, Xingqiang Fang, Yongju Zhao

“…This study aimed to investigate the spatial distribution and associated genes of THFD in goats. Methods A large-scale histological image analysis was conducted on 791 skin samples to characterize the spatial distribution of THFD at the local-site (n = 7), body-side (32 sites, n = 224), and whole-body (14 sites, n = 560) levels. …”
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Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios by Guoxu Zhang, Tianyi Liao, Yingyi Chen, Ping Zhong, Zhencai Shen, Daoliang Li

“…Firstly, the transparent bodies and small sizes of shrimp larvae, combined with complex scenarios due to variations in light intensity and water turbidity, make it challenging for current detection methods to achieve high accuracy. …”
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BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification by Yaoyao Zhu, Xiuding Cai, Xueyao Wang, Xiaoqing Chen, Zhongliang Fu, Yu Yao

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The landscape of nucleotide diversity in Drosophila melanogaster is shaped by mutation rate variation by Barroso, Gustavo V, Dutheil, Julien Y

“…Here we present a new statistical method that jointly infers the genomic landscapes of genealogies, recombination rates and mutation rates. …”
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Multi-Task Trajectory Prediction Using a Vehicle-Lane Disentangled Conditional Variational Autoencoder by Haoyang Chen, Na Li, Hangguan Shan, Eryun Liu, Zhiyu Xiang

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A 4D-EnKF Method via a Modified Cholesky Decomposition and Line Search Optimization for Non-Linear Data Assimilation by Elías D. Nino-Ruiz, Jairo Diaz-Rodriguez

“…In this method, control spaces at observation times are represented by full-rank square root approximations of background error covariance matrices, derived using the modified Cholesky decomposition. …”
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Variation of Physicochemical Characteristics of Tomato Under Different Traditional Forms of Conservation by Rafael Francisco Nanelo, António Elísio José

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Sleep Loss as a Factor to Induce Cellular and Molecular Inflammatory Variations by Gabriela Hurtado-Alvarado, Lenin Pavón, Stephanie Ariadne Castillo-García, María Eugenia Hernández, Emilio Domínguez-Salazar, Javier Velázquez-Moctezuma, Beatriz Gómez-González

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Research on shale lamination types and logging characterization methods: A case study of the Funing Formation Member 2 in Gaoyou Sag, Subei Basin by TANG Lei, LIAO Wenting, XIA Lianjun, MA Jie, ZHANG Juan

“…Using this optimal rate, the eCOCO statistical method was applied to track and analyze sedimentation rate variations in the Funing Formation Member 2. …”
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