Temperature Fields Induced by Low Power Focused Ultrasound in Soft Tissues During Gene Therapy. Numerical Predictions and Experimental Results by Barbara GAMBIN, Tamara KUJAWSKA, Eleonora KRUGLENKO, Andrzej MIZERA, Andrzej NOWICKI

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Development of a zoonotic influenza distribution assessment and ranking system (ZIDAR): Technical application in Nepal to support cross-sectoral risk-based surveillance by Adam Charette-Castonguay, Dipendra Gautam, Binay Shrestha, Hemant Chandra Ojha, Barun Kumar Sharma, Mukul Upadhayaya, Sujan Rana, Roshika Shrestha, Lok Bandu Chaudhary, Bhawana Kandel, Rudra Prasad Marasini, Sharmila Chapagain, Tulsi Ram Gompo, Surendra Karki, Apsara Poudel, Saugat Shrestha, Avinash Sunny Kayastha, Arun Kumar Govindakarnavar, Reuben Samuel, Allison Gocotano, Pushpa Ranjan Wijesinghe, Nilesh Buddha, Edwin Ceniza Salvador, Manish Kakkar, Ricardo J. Soares Magalhães

“…This is then followed by a technical phase involving model building, model structure validation, data gathering and assessment of model performance. …”
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Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas by Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua

“…Utilizing high-frequency monitoring data from  3000 distribution network stations (May–Sept 2018), it creates an integrated ’spatiotemporal evolution-data driven prediction’ framework to reveal emission dynamics and enhance forecast accuracy. …”
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Thermal and burial history of the axial Arcabuco-Floresta segment, Eastern Cordillera basin, Colombia: evidence from low-temperature thermochronology and numerical modelling by John Jairo Sandoval-Espinel, Leidy Carolina Sandoval-Espinel, Leidy Carolina Sandoval-Espinel, Mauricio A. Bermúdez, Matthias Bernet, Barry Kohn, Sergio Amaya, Nicolas Villamizar-Escalante, Carlos Zuluaga

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Coupled Productivity Prediction Model for Multi-Stage Fractured Horizontal Wells in Low-Permeability Reservoirs Considering Threshold Pressure Gradient and Stress Sensitivity by Long Xiao, Ping Yue, Hongnan Yang, Wei Guo, Simin Qu, Hui Yao, Lingqiang Meng

“…By employing discretization concepts, potential distribution theory, and the principle of potential superposition, a productivity prediction model tailored for MSFHWs in low-permeability reservoirs is established. …”
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Dynamical downscaling projections of mean and extreme climate over the Tibetan Plateau under 2 SSP scenariosNational Tibetan Plateau Data Centre by Jiewei Zhou, Jianbin Huang, Yao Yao, Yong Luo

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Global Species Diversity Patterns of Polypodiaceae Under Future Climate Changes by Sibo Huang, Gangmin Zhang, Wenpan Dong

“…We used Maxent to establish current and future potential species distribution models using 20 predictors and determined the current species diversity patterns using the actual current species diversity patterns and current potential species distribution model method. …”
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rocorl: Transferable Reinforcement Learning-Based Robust Control for Cyber-Physical Systems With Limited Data Updates by Gwangpyo Yoo, Minjong Yoo, Ikjun Yeom, Honguk Woo

“…Our experiments show that <italic>rocorl</italic> is robust against various conditions of distributed sensor data updates, compared with several other models including a state-of-the-art POMDP method.…”
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Experimental Data and Thermodynamics Modeling (eNRTL and mUNIFAC) of the (Cyclohexane + Benzene + N,N-Dimethylformamide + Sodium Thiocyanate) Systems by Stephanie Lenhare, Beatriz Fernanda Bonfim de Souza, Fernanda Viana Miyasaki, André Zuber, Pedro Arce, Leandro Ferreira-Pinto, Stéphani Caroline Beneti, Lúcio Cardozo-Filho, Andréia Fátima Zanette

“…The Hand and Othmer–Tobias correlations confirm the consistency and accuracy of the experimental data. Furthermore, eNRTL and modified UNIFAC models were employed to correlate the experimental LLE data, achieving a root-mean-square deviation of less than 0.91%. …”
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A Three-Dimensional Feature Space Model for Soil Salinity Inversion in Arid Oases: Polarimetric SAR and Multispectral Data Synergy by Ilyas Nurmemet, Yilizhati Aili, Yang Xiang, Aihepa Aihaiti, Yu Qin, Bilali Aizezi

“…Most current studies face limitations by relying solely on single-source data. This study presents a novel three-dimensional (3D) optical-radar feature space model combining Gaofen-3 polarimetric synthetic aperture radar (SAR) and Sentinel-2 multispectral data for China’s Yutian Oasis. …”
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Fault Location and Route Selection Strategy of Distribution Network Based on Distributed Sensing Configuration and Fuzzy C-Means by Bo Li, Guochao Qian, Lijun Tang, Peng Sun, Zhensheng Wu

“…To solve the problem of high cost and low efficiency of measuring equipment in traditional distribution network fault location, a fault section location and line selection strategy combining dynamic binary particle swarm optimization (DBPSO) configuration and fuzzy C-means (FCM) clustering is proposed in this paper. …”
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On the Conflation of Poisson and Logarithmic Distributions with Applications by Abdulhamid A. Alzaid, Anfal A. Alqefari, Najla Qarmalah

“…With zero as a support point, two additional models are suggested for the new distribution. These modifications yield distributions that demonstrate overdispersion models comparable to the negative binomial distribution (NBD) while retaining essential PD properties, making them suitable for accurately representing count data with frequent events of low frequency and high variance. …”
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Data augmentation scheme for federated learning with non-IID data by Lingtao TANG, Di WANG, Shengyun LIU

“…To solve the problem that the model accuracy remains low when the data are not independent and identically distributed (non-IID) across different clients in federated learning, a privacy-preserving data augmentation scheme was proposed.Firstly, a data augmentation framework for federated learning scenarios was designed.All clients generated synthetic samples locally and shared them with each other, which eased the problem of client drift caused by the difference of clients’ data distributions.Secondly, based on generative adversarial network and differential privacy, a private sample generation algorithm was proposed.It helped clients to generate informative samples while preserving the privacy of clients’ local data.Finally, a differentially private label selection algorithm was proposed to ensure the labels of synthetic samples will not leak information.Simulation results demonstrate that under multiple non-IID data partition strategies, the proposed scheme can consistently improve the model accuracy and make the model converge faster.Compared with the benchmark approaches, the proposed scheme can achieve at least 25% accuracy improvement when each client has only one class of samples.…”
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Digital Reconstruction Method for Low-Illumination Road Traffic Accident Scenes Using UAV and Auxiliary Equipment by Xinyi Zhang, Zhiwei Guan, Xiaofeng Liu, Zejiang Zhang

“…In low-illumination environments, traditional traffic accident survey methods struggle to obtain high-quality data. …”
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HeRD: Modeling Heterogeneous Degradations for Federated Super-Resolution in Satellite Imagery by Bostan Khan, Seyedhamidreza Mousavi, Masoud Daneshtalab

“…To address this, we propose a novel strategy, Heterogeneous Realistic Degradation (HeRD), which models data heterogeneity by generating realistic low-resolution images based on the unique, device-locked characteristics of different satellites. …”
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Spatiotemporal evolution analysis of OpenStreetMap buildings in the Yangtze River Delta of China based on Tree-like model by Rong Chen, Lingjia Liu, Xiaohui Ding, Wei Jiang

“…In response to this research gap, this article proposes an OSM building data evolution model that combines gravity model and tree model. …”
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Numerical simulation of turbulent airflow around a tall telecommunication tower model by Alireza Moradi, Eysa Salajegheh, Mohammad Mehdi Tavakol, Ali Heidari, Goodarz Ahmadi

“…Good agreement of the simulated pressure coefficient distributions around the head section in the windward and leeward sides of the tower with the wind tunnel data was observed. …”
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A Sensitivity Analysis of the Modeling of Polycyclic Aromatic Hydrocarbon Emission in Galaxies by A. Maragkoudakis, C. Boersma, P. Temi, J. D. Bregman, L. J. Allamandola, V. J. Esposito, A. Ricca, E. Peeters

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Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas by Guiju Wu, Fei Yu, Hongbo Tan, Jiapei Wang, Weihua Liu

“…In this study, a gravity data-fused method is proposed. The Moho depth model data are utilized to construct the gravity anomaly trend, and the mapping relation between the gravity field model data and the measured gravity data is established. …”
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Influence of extreme temperatures on stroke mortality risk among residents of Nanchang city between 2018 and 2022 by Maohong HU, Wenyan XIONG, Jingcheng QI, Yuhong LIU, Yu LUO, Hui LIAO

“…A generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM) was used to analyze the cumulative lag effect of extreme temperatures on the risk of stroke mortality among residents. …”
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