An Improved Processing Method for Low-Frequency Spaceborne Full-Polarimetric SAR Data Affected by Ionospheric Faraday Rotation by Xun Wang, Yunhua Zhang, Dong Li

“…However, the application effectiveness of the data acquired by such a sensor depends on the processing for the effects of ionospheric Faraday rotation (FR) and possibly-existing certain system errors. This article develops an improved processing method for low-frequency spaceborne FP SAR data affected by FR in the presence of additive noise to generate the 3 × 3 coherency matrix (CM) used for polarimetric analysis. …”
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Psychometric Properties of the Persian Version of the Frontal Assessment Battery in Patients With Traumatic Brain Injury by Ramin Banimahdi, Seyed Majid Akhavan Hejazi, Seyed Ali Hosseini, Nazila Akbarfahimi, Mohsen Vahedi

“…A FAB cutoff score 15 yielded optimal sensitivity (0.93) and specificity (0.90) for differentiating TBI patients from healthy controls. …”
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Pixel 5 Versus Pixel 9 Pro XL—Are Android Devices Evolving Towards Better GNSS Performance? by Julián Tomaštík, Jorge Hernández Olcina, Šimon Saloň, Daniel Tunák

“…In single-point positioning (SPP), the Pixel 5 outperformed the Pixel 9 Pro XL in open conditions when considering mean positional errors, while the Pixel 9 Pro XL performed better under canopy conditions. …”
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Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model by Tingtao Wu, Lei Xu, Ziwei Pan, Ruinan Cai, Jin Dai, Shuang Yang, Xihao Zhang, Xi Zhang, Nengcheng Chen

“…Robustness analysis reveals that Causal ST-SwinT maintains high prediction accuracy under various environmental conditions. …”
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Enhancing water balance simulations in SWAT for paddy-dominated catchments through refined soil moisture dynamics by Meng Xiang, Di Wu, Qianan Yu, Haitao Wu, Tianchi Cai, Yuanlai Cui

“…The improvements in the Nash-Sutcliffe efficiency coefficient(NSE) and relative error coefficient(RE) demonstrate that SWAT-PW shows promise for improving predictions of water balance components and runoff compared with the original SWAT model and existing SWAT-MD model, which are critical for optimizing irrigation scheduling and reducing water waste in paddy fields. …”
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Spatial estimation of large-scale soil salinity using enhanced inverse distance weighting method and identifying its driving factors by Yannan Liu, Yingzhi Qian, Yan Zhu, Wanli Xu, Guanghui Wei, Jiesheng Huang, Yuhao Qiao, Qianxi Ma

“…To address these gaps, we conducted the case study with a sample size of 6045, across all the 15 major oasis irrigation districts with an area of 2.1 × 107 hectares in southern Xinjiang, and then the spatial variability of soil salinity was investigated by using an improved inverse distance weighting method with multi-parameter co-optimization (named as AIDW). Compared with the results of the ordinary kriging, local polynomial interpolation and inverse distance weighting methods, the accuracy of AIDW ranked first with the root mean square error (RMSE) from 0.59 to 1.48 g/kg and determination coefficient (R²) from 0.91 to 0.99. …”
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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

“…To address this issue, this paper proposes an inpainting method using a dual-stream network based on the collaborative optimization of wavelet and spatial-channel convolution. …”
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Time series extrinsic regression for reconstructing missing electron temperature in tokamak by Minglong Wang, Chenguang Wan, Jingjing Lu, Zhi Yu, Bingjia Xiao, Yanlong Li, Xiaoxue He, Zhengping Luo, Qiping Yuan, Yemin Hu, Jiangang Li

“…Sensor failures, data acquisition errors, or limitations in diagnostic systems (e.g. absent electron temperature diagnostic) pose significant challenges for experimental data analysis, physical integrated simulation, and the design and optimization of tokamak experiment. …”
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Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion by Dagan Avioz, Raphael Linker, Eran Raveh, Shahar Baram, Tarin Paz-Kagan

“…Accurate monitoring of nitrogen (N) levels, while accounting for spatiotemporal variability is crucial for optimizing fertilization in citrus orchards. Traditional methods, such as frequent leaf and soil sampling followed by laboratory analysis, are costly, labor-intensive, and prone to human error. …”
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Enhancing soil organic carbon prediction by unraveling the role of crop residue coverage using interpretable machine learning by Yi Dong, Xinting Wang, Sheng Wang, Baoguo Li, Junming Liu, Jianxi Huang, Xuecao Li, Yelu Zeng, Wei Su

“…This study provides actionable insights for optimizing CRC management practices for SOC sequestration in Northeast China.…”
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Exploring intracellular anti-mycobacterium activity of lactoferricin-loaded niosomes: proteomics insights into Immunomodulation by Sirikwan Sangboonruang, Natthawat Semakul, Worrapan Poomanee, Thasang Thavanapong, Sittiruk Roytrakul, Sawanya Charoenlappanit, Siriwan Thaisakun, Jiaranai Khantipongse, Nathiprada Netirat, Apiwadee Tongsong, Usanee Wattananandkul, Sorasak Intorasoot, Ponrut Phunpae, Khajornsak Tragoolpua

“…In this study, the pH-sensitive niosomal formulation of lactoferricin (Lfcin-Nio) was fabricated using a microfluidic system. The optimization of Lfcin-Nio formulation was statistically carried out based on the Central Composite Design (CCD). …”
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Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

“…Ultimately, a sensitivity analysis was conducted to pinpoint the dominant factors affecting the CO2 desublimation. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…Traditional coffee bean grading methods are labor-intensive and prone to error, necessitating automated and accurate classification of bean diseases. …”
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Detailed Investigation of Cobalt-Rich Crusts in Complex Seamount Terrains Using the Haima ROV: Integrating Optical Imaging, Sampling, and Acoustic Methods by Yonghang Li, Huiqiang Yao, Zongheng Chen, Lixing Wang, Haoyi Zhou, Shi Zhang, Bin Zhao

“…Captured crust-bearing rocks weighed up to 78 kg, drilled cores reached 110 cm, and acoustic thickness measurements had a 1–2 cm margin of error compared to in situ cores; (2) Video and cores analysis showed summit platforms (3–5° slopes) dominated by tabular crusts with gravel-type counterparts, summit margins (5–10° slopes) hosting gravel crusts partially covered by sediment, and steep slopes (12–15° slopes) exhibiting mixed crust types under sediment coverage. …”
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Early Study on Visible (Vis) and Short-Wave Infrared (SWIR) Spectroscopy for Assessing Water Content in Olive Fruits: Towards Sustainable Land and Agricultural Practices by Giuseppe Bonifazi, Riccardo Gasbarrone, Davide Gattabria, Eugenio Lendaro, Luciana Mosca, Roberto Mattioli, Silvia Serranti

“…Partial least squares (PLS) regression models for the olive fruit weight, weight loss, and water content were developed while using the dehydration process in a drying oven as the reference analysis. The models demonstrated strong predictive performance, with the PLS model for the olive fruit weight achieving a coefficient of determination in cross-validation (R²_CV) of 0.78 and a root mean squared error (RMSECV) of 0.6 g. …”
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Systemic lupus erythematosus and risk factors for adverse outcomes in pregnancy: a single center retrospective cohort study in Northern Brazil by Sérgio Henrique Oliveira dos Santos, Juliana Bühring, Luiz Fernando de Souza Passos, Bárbara Seabra Carneiro, Domingos Sávio Nunes de Lima, Sandra Lúcia Euzébio Ribeiro

“…According to the post-hoc analysis, the probability of a Type S error in the ASA association was 100%. …”
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Light use efficiency (LUE) based bimonthly gross primary productivity (GPP) for global grasslands at 30 m spatial resolution (2000–2022) by Mustafa Serkan Isik, Leandro Parente, Davide Consoli, Lindsey Sloat, Vinicius Vieira Mesquita, Laerte Guimaraes Ferreira, Simone Sabbatini, Radost Stanimirova, Nathalia Monteiro Teles, Nathaniel Robinson, Ciniro Costa Junior, Tomislav Hengl

“…The results of validation of the produced GPP estimates based on 527 eddy covariance flux towers show an R-square between 0.48–0.71 and root mean square error (RMSE) below ~2.3 gCm−2d−1 for all land cover classes. …”
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Ecological Pea Production in Hungary: Integrating Conservation Tillage with the Application of <i>Rhizobium</i> spp., <i>Ensifer</i> spp., <i>Pseudomonas</i> spp., and <i>Bacillus<... by Jana Marjanović, Abdulrahman Maina Zubairu, Sandor Varga, Shokhista Turdalieva, Réka Erika Döbröntey, Mária Ágnes Fodor, Apolka Ujj

“…This ongoing study focuses on evaluating the long-term effects of crop rotation on key agricultural parameters, aiming to optimize practices over time. Statistical analysis (one-way ANOVA) revealed no significant differences across most parameters <i>(p</i> > 0.05), except for total sugar content (<i>p</i> < 0.05), which aligns with expectations given the limited tillage prior to the study. …”
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Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset by Takuya Fukushima, Masae Manabe, Shuntaro Yada, Shoko Wakamiya, Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan, Masayo Takahashi, Eiji Aramaki

“…This evaluation process facilitated the creation an expert-evaluated dataset of responses generated by LLMs adapted with different combinations of these methods. Error analysis identified key ethical concerns, including inappropriate promotion of prenatal testing, criticism of relatives, and inaccurate probability statements. …”
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A deep learning-orchestrated garlic routing architecture for secure telesurgery operations in healthcare 4.0 by Kavit Shah, Nilesh Kumar Jadav, Rajesh Gupta, Sucheta Gupta, Sudeep Tanwar, Joel J.P.C. Rodrigues, Fayez Alqahtani, Amr Tolba

“…The proposed architecture is evaluated using different evaluation metrics, such as statistical analysis (training accuracy, training loss, optimizer performance, activation function performance), data compromisation rate (0.346), network throughput (1.44 Mbps), error rate, and latency comparison.…”
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