Discerning Misclassified Flat-spectrum Radio Quasars from Low-frequency-peaked BL Lacertae Objects by S. Liang, W. G. Yang, Y. G. Zheng, S. J. Kang

“…A sample of 312 low-frequency-peaked BL Lacertae objects (LBLs) and 694 flat-spectrum radio quasars (FSRQs) with the parameters of both redshift and gamma-ray photon spectral index (Γ _γ ) is compiled from the Fourth Catalog of Active Galactic Nuclei Data Release 2 from the Fermi Large Area Telescope (LAT). …”
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Air Route Network Planning Method of Urban Low-Altitude Logistics UAV with Double-Layer Structure by Zhuolun Li, Shan Li, Jian Lu, Sixi Wang

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VCAFusion: A Framework for Infrared and Low Light Visible Image Fusion Based on Visual Characteristics Adjustment by Jiawen Li, Zhengzhong Huang, Jiapin Peng, Xiaochuan Zhang, Rongzhu Zhang

“…Infrared (IR) and visible (VIS) image fusion enhances vision tasks by combining complementary data. However, most existing methods assume normal lighting conditions and thus perform poorly in low-light environments, where VIS images often lose critical texture details. …”
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Cosmic Outliers: Low-spin Halos Explain the Abundance, Compactness, and Redshift Evolution of the Little Red Dots by Fabio Pacucci, Abraham Loeb

“…The little red dots (LRDs) are high-redshift galaxies uncovered by JWST, characterized by small effective radii ( R _eff  ∼ 80–300 pc), number densities intermediate between typical galaxies and quasars, and a redshift distribution peaked at z  ∼ 5. We present a theoretical model in which the LRDs descend from dark matter halos in the extreme low-spin tail of the angular momentum distribution. …”
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Simultaneous Adsorption and Purification of Low-Concentration SO₂ and H₂S by Xiaoli Cao, Lin Zhang, Qun Cui, Haiyan Wang

“…The results showed that the simulation for the single-component breakthrough curves of SO₂ or H₂S agreed well with the experimental data. It indicated that the model and simulation yielded engineering acceptable accuracy. …”
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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

“…With the continuous growth of e-government data, traditional audit methods face increasing limitations in handling large-scale data, leading to low processing efficiency and insufficient accuracy. …”
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Risk factors for Cryptosporidium infection in low and middle income countries: A systematic review and meta-analysis. by Maha Bouzid, Erica Kintz, Paul R Hunter

“…All references were screened independently in duplicate and were included if they presented data on at least 3 risk factors. Meta-analyses using random effects models were used to calculate overall estimates for each exposure.…”
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The Boss Is Back in Town: Insights into the Wolf Recolonization of a Highly Anthropized and Low-Ungulate-Density Environment by Lorenzo Frangini, Giacomo Marzano, Alice Comuzzi, Andrea De Giovanni, Andrea Gallizia, Marcello Franchini, Michela Rugge, Marco De Luca, Giuseppe De Matteis, Stefano Filacorda

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Exploring habitat‐density relationships and model transferability for an alpine bird using abundance models by Håkon Brandt Fjeld, Jan Eivind Østnes, Erlend B. Nilsen

“…Abstract Because resources for monitoring and conservation are often limited, a primary objective in applied ecological research is to predict key state variables in one context (the prediction context) using models fitted to data collected in another context (the estimation context). …”
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The Imbalanced Target Classification Method Based on Mixed Learning of Virtual and Real Data by Fengyu Yang, Peng Wang, Wutao Qin, Zhangze Liao

“…In practical maritime target classification tasks, the imbalanced class distribution in real-world data poses challenges such as low accuracy and poor robustness in model training. …”
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Federated Collaborative Learning with Sparse Gradients for Heterogeneous Data on Resource-Constrained Devices by Mengmeng Li, Xin He, Jinhua Chen

“…Federated learning enables devices to train models collaboratively while protecting data privacy. …”
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A Novel Deep Learning Approach for Data Assimilation of Complex Hydrological Systems by Jiangjiang Zhang, Chenglong Cao, Tongchao Nan, Lei Ju, Hongxiang Zhou, Lingzao Zeng

“…Abstract In hydrological research, data assimilation (DA) is widely used to fuse the information contained in process‐based models and observational data to reduce simulation uncertainty. …”
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The Dynamic Prediction Method for Aircraft Cabin Temperatures Based on Flight Test Data by He Li, Jianjun Zhang, Liangxu Cai, Minwei Li, Yun Fu, Yujun Hao

“…The temperature environment of the whole aircraft is divided into zones by the cluster analysis method; the heat transfer mechanism of the aircraft cabin is analyzed for the target area; and the influence of internal and external factors on the thermal environment is considered to establish the temperature environment prediction model of the target cabin. The coefficients of the equations in the model are parameterized to extract the long-term stable terms and trend change terms; with the help of the measured data of the flight state, the model coefficients are determined by a stepwise regression method; and the temperature value inside the aircraft cabin is the output by inputting parameters such as flight altitude, flight speed, and external temperature. …”
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Transient simulation of multi-product pipeline driven by flow mechanisms and operational data by Jian DU, Haochong LI, Qi LIAO, Kaikai LU, Jianqin ZHENG, Xiao YU

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Estimating Carbon Stock in Unmanaged Forests Using Field Data and Remote Sensing by Thomas Leditznig, Hermann Klug

“…The results and the estimation error distribution highlight the importance of accurate field data.…”
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Significant Wave Height Retrieval in Tropical Cyclone Conditions Using CYGNSS Data by Xiangyang Han, Xianwei Wang, Zhi He, Jinhua Wu

“…Leveraging the high temporal resolution and spatial coverage of Cyclone Global Navigation Satellite System (CYGNSS) data, machine learning models have shown promise in SWH retrieval. …”
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GABs: A Game-Based Secure and Energy Efficient Data Aggregation for Wireless Sensor Networks by Tristan Daladier Engouang, Yun Liu, Zhenjiang Zhang

“…The study considers the ZigBee known as IEEE 802.15.4 standard for its high trustworthiness and low power consumption in wireless sensor network and compares different topology models.…”
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An appraisal of the value of simulated weather data for quantifying coastal flood hazard in the Netherlands by C. de Valk, H. van den Brink

“…Based on insights from physics and extreme value theory as well as evidence from data, we argue that simulated weather data are suitable for estimating the shape of the upper tail of the distribution function of stress, even if stress from present-day weather prediction models may be too high or too low. …”
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The limitations of mobile phone data for measuring movement patterns of populations at risk of malaria by Greta Tam, Ipsita Sinha, Kulchada Pongsoipetch, Keobouphaphone Chindavongsa, Mayfong Mayxay, Sonexay Phalivong, Benjamin J. Cowling, Olivo Miotto, Supaporn Mahaphontrakoon, Saiamphone Xayvanghang, Richard J. Maude

“…Before doing so, it is critical to quantify mobile usage among the population at risk of malaria. Where this is low, either movement estimates derived from mobile phone data need to be adjusted to increase model accuracy, or another method should be used to measure the mobility of populations with malaria.…”
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Handling missing continuous outcome data in a Bayesian network meta-analysis by Danila Azzolina, Ileana Baldi, Clara Minto, Daniele Bottigliengo, Giulia Lorenzoni, Dario Gregori

“…Conclusions: This NMA method seems to be more robust to missing data imputation when data reported in different studies are generated in a low-heterogeneity scenario. …”
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