Methane Concentration Inversion Based on Multi-Feature Fusion and Stacking Integration by Yanling Han, Wei Li, Congqin Yi, Ge Song, Yun Zhang

“…The method leverages the series-parallel cascade structure between multiple base models and meta-models to learn different feature representations and patterns in the original data, fully exploring the intrinsic relationships between various feature factors and methane concentration. …”
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Gaia Net: Toward Robust Spectroscopic Parameters of Stars of all Evolutionary Stages by Dylan Huson, Indiana Cowan, Logan Sizemore, Marina Kounkel, Brian Hutchinson

“…We present a new processing of XP spectra for 220 million stars released in Gaia DR3. The new data model is capable of handling objects with T _eff between 2000 and 50,000 K and with $\mathrm{log}\,g$ between 0 and 10, including objects of multitude of masses and evolutionary stages. …”
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Correlation analysis of systemic inflammatory response index with erythropoietin hyporesponsiveness and clinical prognosis in maintenance hemodialysis patients by Li Chun-min, Wen Qian, Luo Dan, Wu Jun

“…ObjectiveTo investigate the correlation of systemic inflammatory response index（SIRI） with erythropoietin （EPO） hyporesponsiveness and clinical prognosis in maintenance hemodialysis （MHD） patients.MethodsClinical data of patients undergoing hemodialysis at the Hemodialysis Clinical data of patients undergoing hemodialysis at the Hemodialysis Center of Wuhan Third Hospital between April 1， 2020， and December 31， 2022， were collected and followed up until January 31， 2024. …”
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Correlation analysis of systemic inflammatory response index with erythropoietin hyporesponsiveness and clinical prognosis in maintenance hemodialysis patients by Li Chun-min, Wen Qian, Luo Dan, Wu Jun

“…ObjectiveTo investigate the correlation of systemic inflammatory response index（SIRI） with erythropoietin （EPO） hyporesponsiveness and clinical prognosis in maintenance hemodialysis （MHD） patients.MethodsClinical data of patients undergoing hemodialysis at the Hemodialysis Clinical data of patients undergoing hemodialysis at the Hemodialysis Center of Wuhan Third Hospital between April 1， 2020， and December 31， 2022， were collected and followed up until January 31， 2024. …”
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Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

“…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.Discussion and implicationsThese findings illustrate AI’s transformative potential across the vaccine lifecycle but underscore that translating promise into practice demands five targeted action areas: robust data governance and multi‑omics consortia to harmonize and share high‑quality datasets; comprehensive regulatory and ethical frameworks featuring transparent model explainability, standardized performance metrics, and interdisciplinary ethics committees for ongoing oversight; the adoption of adaptive trial designs and manufacturing simulations that enable real‑time safety monitoring and in silico process modeling; AI‑enhanced public engagement strategies—such as routinely audited chatbots, real‑time sentiment dashboards, and culturally tailored messaging—to mitigate vaccine hesitancy; and a concerted focus on global equity and pandemic preparedness through capacity building, digital infrastructure expansion, routine bias audits, and sustained funding in low‑resource settings.ConclusionThis umbrella review confirms AI’s pivotal role in accelerating vaccine development, enhancing efficacy and safety, and bolstering public acceptance. …”
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Predictors of Intensive Care Unit Admission in Red Code Patients in the Emergency Department: A Single-Center Retrospective Observational Study by Erkan Boğa

“…The ROC curve analysis evaluated model predictive power by presenting AUC with confidence interval values. …”
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Construction of Carbon Functional Zone in the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta Based on Carbon Density Correction by Tian ZHANG, Zhen SHEN, Tingting SU, Daixin DAI

“…The growth of carbon sink enhancement zones is largely attributed to ecological restoration policies, such as the conversion of farmland to lakes and forests, underscoring the critical role of policy interventions in enhancing carbon sequestration capacity.ConclusionBased on these findings, the research proposes a spatially differentiated low-carbon governance framework for the Demonstration Zone, and emphasize three pillars. 1) Zonal Regulation: Implement strict protection measures in carbon sink enhancement zones, optimize land use efficiency in balance zones, and enforce emission reduction targets in control zones. 2) Ecological restoration priorities: Scale up reforestation, wetland conservation, and “sponge city” initiatives to amplify carbon sequestration. 3) Cross-regional collaboration: Establish a unified governance platform to harmonize policies, data sharing, and carbon trading mechanisms across administrative boundaries. …”
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Hardware Evaluation of Interference Alignment Techniques Under Different Channel State Information Updating Rates by David Alejandro Urquiza Villalonga, Alejandro Lopez Barrios, Maximo Morales-Cespedes, M. Julia Fernandez-Getino Garcia

“…Wireless networks are evolving to provide high data rates, ultra-low latency, reliable communications, and the connectivity of multiple devices in a reduced area. …”
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Subtype cluster analysis unveiled the correlation between m6A- and cuproptosis-related lncRNAs and the prognosis, immune microenvironment, and treatment sensitivity of esophageal c... by Ming Zhang, Yani Su, Pengfei Wen, Xiaolong Shao, Peng Yang, Peng An, Wensen Jing, Lin Liu, Zhi Yang, Mingyi Yang

“…Analysis of molecular subtypes and clinical features revealed significant differences in cluster distribution, disease stage, and N stage between high- and low-risk groups. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…This research provides a new direction for the model design of overhead line planning in continuous domains.…”
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Identification of Suitable Sites for Rainwater Harvesting Using AHP and GIS in the Middle and High Moulouya Basin, Morocco by Amiri Mustapha, Bouguelba Smail, Sbai Abdelkader, Ghzal Mohamed, Qadem Zohair, Salem Ali

“…In this study, a methodology integrating remote sensing data and geographic information systems was developed based on a model created in SIG software. …”
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Assessing Water Source Stability in the Three River Source Region: A Comprehensive 35‐Year Analysis by Lifeng Zhang, Daniel R. Schlaepfer, Zhiguang Chen, Zhongkuan Liu, Zhenyu Liu, Song Gu, William K. Lauenroth

“…We employed SOILWAT2, a daily time step ecosystem water model, along with 35 years of climate data from 29 meteorological stations to characterize the hydrological dynamics of the region. …”
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A Three-Granularity Pose Estimation Framework for Multi-Type High-Voltage Transmission Towers Using Part Affinity Fields (PAFs) by Yaoran Huo, Xu Dai, Zhenyu Tang, Yuhao Xiao, Yupeng Zhang, Xia Fang

“…At present, Unmanned Aerial Vehicles (UAVs) combined with deep learning have become an important means of transmission line inspection; however, the current approach has the problems of high demand for manual operation, low inspection efficiency, inspection results that do not reflect the distribution of defects on transmission towers, and the need for a large number of manually annotated captured images. …”
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ESTIMATION OF SOME GENETIC PARAMETERS FOR YIELD AND ITS COMPONENTS IN UPLAND COTTON by K. M. Dawod, A. H. Abdulla, Kh. Kh. Al-Jubory

“…Adequacy tests of additive dominance model revealed that data of all the characters were partially adequate for genetic interpretation except for ginning outturn. …”
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Spatial Evolution and Driving Mechanisms of Vegetation Cover in China’s Greater Khingan Mountains Based on Explainable Geospatial Machine Learning by Zihao Wang, Bing Wang, Qiuliang Zhang, Changwei Lü

“…In addition, both single-factor importance and inter-factor interaction analyses consistently showed that landform factors dominated the spatial distribution of FVC. (3) Regional heterogeneity emerged—human activities drove the northern alpine zones, while landform factors governed other areas. (4) The natural-environment-dominated zones and human-activity-dominated zones were established, and management strategies were proposed: restricting tourism in low-altitude zones, optimizing the cold-resistant vegetation at high elevations, and improving the southern soil conditions to support ecological barrier construction. …”
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Dual-band reconfigurable circularly polarized antenna with novel phase shifter and beamforming network by Majid Allahverdizadeh, Reza Masoumi, Mohammad Bemani

“…Then, a feeding network with one input and four output ports is designed to ensure precise signal distribution. A detailed mathematical model using dual-band transmission line theory and ABCD matrix analysis underpins the design. …”
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Application of Topology Optimization as a Tool for the Design of Bracing Systems of High-Rise Buildings by Paulo Ulisses da Silva, Gustavo Bono, Marcelo Greco

“…CFD simulations were conducted using OpenFOAM with the classic RANS <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>−</mo><mi>ϵ</mi></mrow></semantics></math></inline-formula> turbulence model, validated against experimental data from Tokyo Polytechnic University. …”
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Interpretable deep learning method to quantify the impact of extreme temperatures on vegetation productivity in China by Dewei Xie, Zhaopei Zheng, Xin Ding, Lihong Wei, Yu Lan

“…In southern region and Tibetan Plateau region, NPP shows a positive association with elevated temperature extremes, while moderate low temperature is more conducive to vegetation growth in northern region. (4) The DNN model constructed in this study performs better (R²≈0.89) than other models in simulating the spatiotemporal distribution of NPP in China. …”
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Advanced methods for geological interpretation of depositional environments and lithofacies: insights into hydrocarbon potential in the northern Norwegian North Sea by Ali Al Janabi, Camelia C. Knapp, Ziyad Albesher

“…A key contribution of this study is the development of a 3D structural depth model that enhances the spatial understanding of lithofacies distribution and reservoir connectivity. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…Based on the collected data, a Bayesian probability model is constructed that transforms traditional Bayesian components into environment-specific parameters: Prior probabilities become baseline blood pressure values, likelihood functions become environmental adjustment effects, and posterior distributions become predictive blood pressure values with confidence intervals. …”
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