Comprehensive evaluation of the vector magnetic field data from Macau Science Satellite-1A by XinYi Rang, Chao Xiong, YuYang Huang, ChunYu Xu, FengJue Wang, BoHao Qian, Fan Yin, SiShan Song, Keke Zhang, PengFei Liu

“…Earlier studies confirmed the possibility of using MSS-1A data to model the Earth’s main magnetic field (e.g., Jiang Y et al., 2024). …”
Get full text

Task Offloading and Data Compression Collaboration Optimization for UAV Swarm-Enabled Mobile Edge Computing by Zhijuan Hu, Shuangyu Liu, Dongsheng Zhou, Chao Shen, Tingting Wang

“…To address this issue, we propose a UAV swarm-enabled MEC system that integrates data compression technology, in which the only swarm head UAV (USH) offloads the compressed computing tasks compressed by the UEs and partially distributes them to the swarm member UAV (USM) for collaborative processing. …”
Get full text

Predicting main behaviors of beef bulls from accelerometer data: A machine learning framework by Vinicius A. Camargo, Edmond A. Pajor, Sayeh Bayat, Jennifer M. Pearson

“…Therefore, this study aims to describe and evaluate a machine-learning framework to predict the behaviors of beef bulls from raw accelerometer data at low sampling rates. Collars with 3D-accelerometers were deployed on 33 bulls, recording accelerometer data at 0.5 Hz (22 bulls in 2020 and 2021) or 1.0 Hz (11 bulls in 2023). …”
Get full text

Multi-Source, Fault-Tolerant, and Robust Navigation Method for Tightly Coupled GNSS/5G/IMU System by Zhongliang Deng, Zhichao Zhang, Zhenke Ding, Bingxun Liu

“…This approach employs a sliding window which expands innovation vectors temporally based on source encoding, enabling real-time validation of isolated faulty sensors and adaptive adjustment of observational data in integrated navigation solutions. Additionally, a covariance-optimal, inflation-based integrity protection mechanism was introduced, offering rigorous evaluations of distributed PNT service availability. …”
Get full text

Challenges in Imputation of ICU Time-Series Data: A Comparison of Classical and Machine Learning Approaches by Favio Salinas, Marvin Agristean, Sobhan Moazemi, Steven Kessler, Bastian Dewitz, Hug Aubin, Artur Lichtenberg, Falko Schmid

“… Handling missing data is a major challenge in machine learning, particularly in clinical settings using electronic health records like ICU time-series data. …”
Get full text

A novel nomogram for predicting osteoporosis with low back pain among the patients in Wenshan Zhuang and Miao Autonomous Prefecture of China by Man Jia, Man Jia, Qinzuo Dong, Zeqin Ren, Liwei Xing, Jinjie Li, Xiaomei Wang, Shun Yu, Xiaoyan Wang, Rong Zhao, Rong Zhao

“…Furthermore, decision curve analysis (DCA) served to determine clinical application value of this predictive model. Statistical significance level was set at P < 0.05.ResultsBuilding upon the LASSO and multivariate Cox regression, eleven variables were significantly associated with OP (i.e., gender, age, history of fracture, history of alcohol consumption, history of rheumatoid arthritis, hematocrit, red blood cell volume distribution width, lymphocyte percentage, triglyceride, potassium ion, and alanine aminotransferase). …”
Get full text

A time series of urban extent in China using DSMP/OLS nighttime light data. by Yao Yao, Dongsheng Chen, Le Chen, Huan Wang, Qingfeng Guan

“…Traditional methods of extracting urban-extent information are primarily based on manual investigations and classifications using remote sensing images, and these methods have such problems as large costs in labor and time and low precision. This study proposes an improved, simplified and flexible method for extracting urban extents over multiple scales and the construction of spatiotemporal models using DMSP/OLS nighttime light (NTL) for practical situations. …”
Get full text

ARUC-GAN: A CycleGAN-Based Attention Residual U-Net for Low-Dose CT Denoising in Smart Healthcare by Mohammad Mansour, Djamel Djenouri, Lobna A. Said, Shahid Latif, Ahmed Maalel, Ameer M. S. Abdelhadi

“…Moreover, conventional denoising methods struggle with the non-uniform noise distributions in LDCT images and often require complex projection data, which limits their effectiveness and generalizability. …”
Get full text

Direct oral penicillin challenge in secondary care with low-risk patients: the SPACE mixed-methods study with cost-effectiveness analysis by Mamidipudi Thirumala Krishna, Yogini H Jani, Iestyn Williams, Ruben Mujica-Mota, Rebecca Bestwick, Michele Siciliano, Robert Michael West, Rashmeet Bhogal, Bee Yean Ng, Kornelija Kildonaviciute, Rachel Pollard, Nicola Jones, Louise Dunsmure, Mairead McErlean, Neil Powell, Chidanand C Hullur, Ariyur Balaji, Jonathan Sandoe, Amena Warner, Ron Daniels, Caroline Thomas, Siraj A Misbah, Louise Savic

“…Objectives Primary To explore behaviour, attitudes and acceptability of patients, HCPs and managers regarding use of DPC in ‘low risk’ patients. To develop treatment pathways and a clinical governance framework for this service model. …”
Get full text

Sequence-to-Sequence Text Generation with Discrete Diffusion Models by JIANG Hang, CAI Guoyong, LI Sihui

“…Compared with the original linear noise schedule, the high noise interval in time steps becomes larger, and the model will focus more on learning how to recover data from high noise data that are common encountered by the model in the first few rounds of inference. …”
Get full text

Research on deep hole convergence energy blasting for increasing permeability in deep wells with high gas and low permeability coal seams by Shigui FU, Zegong LIU, Shuai CHANG, Shuai YANG, Jianyu ZHANG, Guodong QIAO, Xin ZHANG

“…In response to the unclear understanding of the internal damage and fracture evolution of deep wells with high gas and low permeability coal seams under the influence of deep ground stress, a theoretical model of convergence energy blasting jet formation was established. …”
Get full text

High-resolution spatial prediction of anemia risk among children aged 6 to 59 months in low- and middle-income countries by Johannes Seiler, Mattias Wetscher, Kenneth Harttgen, Jürg Utzinger, Nikolaus Umlauf

“…These models enable the assessment of the complete distribution of hemoglobin levels. …”
Get full text

Introduction, establishment, and distribution of Aedes aegypti and dengue in a temperate capital of Brazil: a retrospective surveillance-based studyResearch in context by Danielle Andreza da Cruz Ferreira, Laís Picinini Freitas, Rachel Lowe, Getúlio Dornelles Souza, Ricardo Toshio Fujiwara, Raquel Martins Lana

Get full text

Soil Moisture Content Prediction Using Gradient Boosting Regressor (GBR) Model: Soil-Specific Modeling with Five Depths by Tarek Alahmad, Miklós Neményi, Anikó Nyéki

“…The statistical analysis revealed significant variation in SMC across depths in loam soil (<i>p</i> < 0.05), while silt loam exhibited more stable moisture distribution. The GBR model demonstrated high performance in both soil textures, achieving R² values of 0.98 and 0.94 for silt loam and loam soils, respectively, with low prediction errors (RMSE 0.85 and 0.97, respectively). …”
Get full text

A‐CHAIM: Near‐Real‐Time Data Assimilation of the High Latitude Ionosphere With a Particle Filter by Ben Reid, David R. Themens, Anthony McCaffrey, P. T. Jayachandran, Magnar G. Johnsen, Thomas Ulich

“…Abstract The Assimilative Canadian High Arctic Ionospheric Model (A‐CHAIM) is an operational ionospheric data assimilation model that provides a 3D representation of the high latitude ionosphere in Near‐Real‐Time (NRT). …”
Get full text

Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data by Wenwu Zhou, Wenwu Zhou, Qingtai Shu, Cuifen Xia, Li Xu, Qin Xiang, Lianjin Fu, Zhengdao Yang, Shuwei Wang

“…These findings highlight the advantages of mountain FCC estimation using ICESat-2/ATLAS high-density, high-precision footprints and the fact that small-sample estimation results at the footprint scale can serve as training data for the regional-scale GWR model, offering a reference for low-cost, high-precision FCC estimation from footprint scale to regional scale.…”
Get full text

Red blood cell distribution width to albumin ratio as a predictor of gallstones in US adults: a NHANES-based cross-sectional study by Jiali Huang, Hong Liu

“…Three multivariate logistic regression models (adjusted for demographics, behaviors, and comorbidities) and a restricted cubic spline (RCS) model were constructed to evaluate the association between RAR and gallstones. …”
Get full text

A new Monte Carlo generator for BSM physics in B → K * ℓ + ℓ − decays with an application to lepton non-universality in angular distributions by Alexei Sibidanov, Thomas E. Browder, Shawn Dubey, Shahab Kohani, Rusa Mandal, Saurabh Sandilya, Rahul Sinha, Sven E. Vahsen

“…As a demonstration of the utility of the MC generator, we examine the prospects for improved measurements of lepton non-universality in angular distributions for B → K * ℓ + ℓ − decays from the expected 50 ab −1 data set of the Belle II experiment, using a four-dimensional unbinned maximum likelihood fit. …”
Get full text

X-ArecaNet: Dataset of arecanut X-ray images for deep learning applicationsMendeley Data by Praveen M. Naik, Bhawana Rudra

Get full text

Two-Layer Coordinated Energy Management Method in the Smart Distribution Network including Multi-Microgrid Based on the Hybrid Flexible and Securable Operation Strategy by Mohammad Hosein Sabzalian, Sasan Pirouzi, Mauricio Aredes, Bruno Wanderley Franca, Ana Carolina Cunha

“…Its formulation is the same as that of the first layer, except that the HFSO model is used in the SDN according to MGs power daily data obtained from the first layer problem. …”
Get full text