Graph theoretical model of a sensorimotor connectome in zebrafish. by Michael Stobb, Joshua M Peterson, Borbala Mazzag, Ethan Gahtan

“…The model includes 2,616 neurons and 167,114 synaptic connections. …”
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City parks and slow streets: A utility-based access and equity analysis by Gregory Macfarlane, Carole Turley Voulgaris, Teresa Tapia

“…We find, for example, that neighborhoods with more lower-income residents and those with more residents of color show a greater preference for park proximty while neighborhods with higher incomes and those with more white residents show a greater preference for park size and amenities. We then apply this model to examine the accessibility benefits resulting from COVID-19 street conversions to create a set of small park-like open spaces; we find that this has been a pro-social policy in that Black, Hispanic, and low-income households receive a disproportionate share of the policy benefits, relative to the population distribution. …”
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The effect of ambient temperature on thyroid function parameters: a daily level panel study by Tao Wang, Hailin Ma, Zhaoqing Jin, Ting Yang, Zhiqiang Zhao, Aerdake Wulalibieke, Qishan Wang, Yu Cao, Shenghong Yang

“…Mixed-effect modeling with distributed lagged non-linear models (DLNMs) was applied to analyze the data. …”
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La méthode des analogues : reproduire le caractère saisonnier de la distribution d’eau potable dans les stations touristiques de montagne by Martin Calianno

“…The method is intended for decision-makers and urban planners, because it makes it possible to predict the seasonality of drinking water distribution in Alpine regions where data on water use is rarely available. …”
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Using a novel, multi-method approach to evaluate the quality of self-report survey data in organizational readiness research by Derek W. Craig, Jocelyn Hunyadi, Timothy J. Walker, Lauren Workman, Maria McClam, Andrea Lamont, Joe R. Padilla, Pamela Diamond, Abraham Wandersman, Maria E. Fernandez

“…To address this, we aimed to 1) apply a multi-method approach to assess the quality of self-report survey data in a study aimed to validate a measure of organizational readiness, 2) compare readiness scores among responses categorized as high- and low-quality, and 3) examine individual characteristics associated with low-quality responses. …”
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Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI by Yanan Li, Jingfa Yao, Wenhui Yang, Zhao Wei, Peng Luan, Guifa Teng

“…This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. …”
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Dynamic cache allocation routing strategy of Internet of things satellite node based on traffic prediction by Weidong WANG, Cheng WANG, Huiwen WANG, Pin XU

“…Aiming at the routing problem of low earth orbit (LEO) Internet of things (IoT) satellite systems,a dynamic cache allocation routing strategy based on traffic prediction for IoT satellite nodes was proposed.Firstly,the space-time characteristics of traffic distribution in the LEO coverage area were analyzed,and an end-to-end traffic prediction model was proposed.Then,according to the traffic prediction result,a dynamic cache allocation routing strategy was proposed.The satellite node periodically monitored the traffic load of the inter-satellite link,dynamically allocated the cache resources of each inter-satellite link between the neighboring nodes.The cache allocation process was divided into two phases,initialization and system operation.At the same time,the traffic offload and packet forwarding strategy when the node was congested was proposed.By comparing the queuing delay and the forwarding delay,it was determined whether the data packet needs to be rerouted.The simulation results show that the proposed routing strategy effectively reduces the packet loss rate and average end-to-end delay,and improves the traffic distribution in the whole network.…”
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Experimental Study on Hydraulic Characteristics of Fish-friendly Culverts with Baffles by MAO Jing-qiao, LU Peng, GONG Yi-qing, GAO Huan, DAI Jie

“…[Methods] Three-dimensional velocity data were collected using an Acoustic Doppler Velocimeter (ADV) to analyze the distribution patterns of turbulent kinetic energy and Reynolds stress. …”
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Multivariate Gaussian Bayes classifier with limited data for segmentation of clean and contaminated regions in the small bowel capsule endoscopy images. by Vahid Sadeghi, Alireza Mehridehnavi, Maryam Behdad, Alireza Vard, Mina Omrani, Mohsen Sharifi, Yasaman Sanahmadi, Niloufar Teyfouri

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Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification by Weichao Yang

“…To address the issues of accuracy and generalization in action recognition within complex tennis training scenarios, this study proposes an Adaptive Semantic-Enhanced Convolutional Neural Network (ASE-CNN) model. The model optimizes multimodal data integration and complex action classification performance, enabling precise analysis of key action features in tennis training. …”
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A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm by Mingyang Liu, Xiaodong Wang, Wei Qiao, Hongbo Shang, Zhenguo Yan, Zhixin Qin

“…Multidimensional analysis diagrams (e.g., residual distribution, 45° diagonal error plot, and boxplots) further validate the model’s robustness in different spatial locations, particularly in capturing abrupt changes and low-concentration anomalies. …”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Meanwhile, five image morphological features were selected using the recursive feature elimination (RFE) algorithm. Before modeling, principal component analysis (PCA) was used to determine the distribution features of the internal components for each maize variety. …”
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Two-Dimensional Code Based Spatiotemporal Modeling and Its Application in Object Tracing by Yanghua Gao, Zhihua Zhang, Huanwen Wang, Hailiang Lu

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Analysis of the epidemiological characteristics and environmental influencing factors of mycoplasma pneumonia in Wuhan, China based on multi-source spatiotemporal data by Yvtao Hua, Qingxiang Meng, Li Shen, Chen Wang, Ke Hu, Yaohua Yi, Yixuan Wang, Rui Xiao

“…Spatial autocorrelation, time series decomposition, and standard deviation ellipse were used to analyse the spatial clustering, seasonal patterns, and spatiotemporal distribution of MPP. Generalized Additive Model (GAM) and Partial Least Squares Regression (PLSR) model were used to quantitatively assess the impact of environmental factors. …”
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Modeling and analyzing malware diffusion in wireless sensor networks based on cellular automaton by Hong Zhang, Shigen Shen, Qiying Cao, Xiaojun Wu, Shaofeng Liu

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Design and Application of Water Conservancy Model Management Service Platform by TIAN Maochun, ZOU Xianyong, YANG Yue, HE Qilian

“…The current water conservancy model cannot realize unified access and use,and the computing efficiency of multiple users,models,and schemes is low.In addition,the ability of sharing applications deeply bound with the system is weak.Therefore,the model fails to meet the requirements of intelligent water conservancy and digital twin watershed construction.In view of this,this paper designs a water conservancy model management service platform and applies it to practice.First,different types of water conservancy models are integrated,and their service interfaces are standardized,so as to uniformly receive model calculation service parameters and data in different formats and then convert them into required formats through platform adaptation,which avoids the problem of difficult unified invocation caused by differences in the interfaces of each model.Second,model computing resources are deployed and managed in a unified manner,and model calculation requests are distributed to different servers for calculation through task scheduling,so as to improve the resource utilization rate and reduce calculation time.Finally,a water conservancy model management service platform is developed,which integrates model management,model service,and model assembly functions,so as to provide the application system with model computing service.The application of multiple projects shows that the platform can integrate and share the resources of water conservancy models,give full play to the smart function,and provide support for the construction of intelligent water conservancy and digital twin watersheds.…”
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Modeling and analysis of direct internal reforming in ethanol-fueled SOFC by Deivanayagam Hariharan, Bhaskar Sarkar, Santhosh Gundlapally

“…By comparing the model's predictions with experimental data, its accuracy and reliability was validated. …”
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Monitoring Soil Salinity and Vegetation Using Multispectral Remote Sensing Data in Interceptor Drain of Salt Marsh in Qazvin Plain by Afshin Uossef Gomrokchi, Mehdi Akbari, Mehdi Akbari, Mahdi Younesi

“…In this regard, it is important to obtain information about soil salinity and vegetation, such as their amount and distribution. The use of satellite data enables extensive study of soil salinity and vegetation. …”
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Evaluation of porosity, permeability, and reservoir quality of the Asmari Formation using sedimentary facies and diagenesis data in the Ahvaz oil field by Akbar Heidari, Narges Shokri, Milad Faraji

“…In this study, porosity data and their relationship with depositional and diagenetic environments were examined in the Ahvaz oilfield. …”
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Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning by Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet

“…This study uses colocated airborne electromagnetic resistivity and borehole lithology data to train multiple machine learning models and predict the 3D distribution of hydrofacies in glacial deposits of eastern Nebraska, USA. …”
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