Spatial Relationships and Driving Mechanisms of Ecosystem Health in Urbanization: A Case Study of Wuhan, China by Qiaoling Luo, Xi Wang, Junfang Zhou, Mingxing Liu, Jiayu Rong

“…This study addresses 2 key research gaps: (a) The traditional pressure–state–response evaluation framework fails to integrate ecosystem service demands and landscape pattern indices and has not formed a comprehensive EH evaluation system. …”
Get full text

Near‐Surface Air Temperature Profile in Maritime Antarctica (2006–2023) by Miguel Angel dePablo

“…Data were mainly recorded using iButton DS1921G (Miniature configuration) and DS1922L (standard and high‐resolution configurations) temperature loggers (Maxim Integrated). Despite occasional gaps due to energy depletion or device damage, the dataset provides reliable long‐term monitoring in a region where such measurements are logistically challenging. …”
Get full text

Quantum-inspired robust optimization for coordinated scheduling of PV-hydrogen microgrids under multi-dimensional uncertainties by Yunxiao Bai, Yu Sui, Xiaoyu Deng, Xiangbing Wang

“…Abstract The integration of photovoltaic (PV) generation and hydrogen storage in rural microgrids enables clean, long-duration energy supply, yet introduces operational challenges under high uncertainty. …”
Get full text

Tracing the dual-circulation value chain: Measurement on the embedding characteristics and evidence from China by Yi Ren, Jinniu Zhang, Yuan Tian

“…In China, various regions have optimized their National Value Chain (NVC) by participating in the Global Value Chain (GVC), forming a structure of Dual-Circulation Value Chain (DCVC) dominated by NVC. This study aims to integrate multiple analytical models to construct an analytical method for studying the DCVC, thereby addressing the existing gaps in the literature in this field. …”
Get full text

Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System Load D... by Hafeez Ur Rehman Siddiqui, Robert Brown, Adil Ali Saleem, Muhammad Amjad Raza, Sandra Dudley

“…This study introduces a novel integration of machine learning and data augmentation techniques for fault detection and classification, addressing gaps in data diversity and imbalance. …”
Get full text

Study on the Driving Performance and Influencing Factors of Multi-Electrothermal Co-Actuation Devices Considering Application Environments by Yujuan Tang, Zihao Guo, Yujiao Ding, Xinjie Wang

“…Electrothermal actuators, with their simple structure, small size, strong anti-interference ability, and easy integration, have emerged as a promising solution for micro-drive technology. …”
Get full text

A Study on Canopy Volume Measurement Model for Fruit Tree Application Based on LiDAR Point Cloud by Na Guo, Ning Xu, Jianming Kang, Guohai Zhang, Qingshan Meng, Mengmeng Niu, Wenxuan Wu, Xingguo Zhang

“…Additionally, improvements to the mesh integral volume method incorporate the effects of canopy gaps in height difference calculations, significantly enhancing the accuracy of canopy volume estimation. …”
Get full text

Edge-Assisted Label-Flipping Attack Detection in Federated Learning by Nourah S. AlOtaibi, Muhamad Felemban, Sajjad Mahmood

“…In LFA, malicious clients deliberately mislabel local data, causing the global model to misclassify certain classes, thus undermining its integrity. Although centralized detection methods have been explored, there is a notable gap in addressing LFA within the decentralized Client-Edge-Cloud architecture, which is crucial for FL systems. …”
Get full text

Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis by Mahreen Kiran, Ying Xie, Nasreen Anjum, Graham Ball, Barbara Pierscionek, Duncan Russell

“…Additionally, literature analysis highlights advances in integrating real-world datasets, emerging trends like federated learning, and explainability tools such as SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations).ConclusionFuture work should address gaps in generalizability, interdisciplinary T2DM prediction research, and psychosocial integration, while also focusing on clinically actionable solutions and real-world applicability to combat the growing diabetes epidemic effectively.…”
Get full text

Geovisual explainable AI for understanding frozen ground in Qinghai-Tibet Plateau urban region by Chuan Chen, Yeming Lao, Jihui Fan, Lingbo Liu, Youjia Liang, Liqiu Meng

“…Existing research, however, is limited to mapping and predicting frozen ground distribution, lacking exploration of the direct and indirect driving factors that influence it. To address this gap, we propose a framework that integrates geovisualization, causal discovery, and explainable artificial intelligence (XAI). …”
Get full text

Modeling of Conventional Heat Pipes with Capillary Wicks: A Review by Roberta Caruana, Manfredo Guilizzoni

“…Therefore, future research should address these gaps, to enhance the applicability of CHPs across different fields and operating conditions. …”
Get full text

A Comprehensive Review of Fused Filament Fabrication: Numerical Modeling Approaches and Emerging Trends by Maria Enriconi, Rocío Rodriguez, Márcia Araújo, João Rocha, Roberto García-Martín, João Ribeiro, Javier Pisonero, Manuel Rodríguez-Martín

“…This review highlights the need for unified testing protocols, more accurate multi-physics simulations, and the integration of AI-based process monitoring to bridge the gap between numerical predictions and real-world performance. …”
Get full text

Long-Term (2015–2024) Daily PM_2.5 Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition by Jiacheng Jiang, Jiaxin Dong, Yu Ding, Wenjia Ni, Jie Yang, Siwei Li

“…First, we utilize the machine learning algorithm XGBoost (EXtreme Gradient Boosting) to address gaps in the daily MAIAC (Multi-Angle Implementation of Atmospheric Correction) AOD (Aerosol Optical Depth), with R²/RMSE (coefficient of determination/Root Mean Square Error) of 0.67/0.2678 compared to AERONET (Aerosol Robotic Network) AOD. …”
Get full text

Thermal-mechanical coupled stress prediction of printed circuit heat exchanger in the supercritical CO2 Brayton cycle by Junlin Chen, Wenhai Du, Keyong Cheng, Xunfeng Li, Xiulan Huai, Jiangfeng Guo, Pengfei Lv, Hongsheng Dong

“…This study addresses a critical gap in the thermal-mechanical stress assessment of PCHE for SCO2 Brayton cycles by developing novel quantitative models to predict equivalent stresses at semicircular channel tips. …”
Get full text

Temperature-induced corrosion of the TRIGA 2000 research reactor tank liner in long-term normal operation by Veri Trisnawan, Prasetyo Basuki, Hakimul Wafda, Yayat Supriyatna, Djoko Hadi Prajitno, Maykel Manawan, Roziq Himawan, Deddy Kurniadi

“…However, prolonged exposure induces degradation, threatening structural integrity and operational safety. While prior studies have emphasized radiation and water chemistry in aluminum corrosion of reactor core components, corrosion phenomena outside the core, especially those influenced by local temperature gradients are remain insufficiently understood. …”
Get full text

Estimating ocean currents from the joint reconstruction of absolute dynamic topography and sea surface temperature through deep learning algorithms by D. Ciani, C. Fanelli, B. Buongiorno Nardelli

“…This modification allows us to evaluate the potential enhancement in the ADT and SST mapping while integrating dynamical constraints through tailored, physics-informed loss functions. …”
Get full text

Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…This study aims to identify knowledge and skill gaps at both individual and organizational levels, and to explore multi-dimensional factors influencing training needs within the theoretical frameworks of the Theory of Planned Behavior and Self-Determination Theory. …”
Get full text

Protist communities are correlated with abiotic soil factors, but not resources, prey, or predators along a subalpine secondary succession by Ajuan Zhang, Anton M. Potapov, Ruyi Luo, Yan Zhang, Wei Qiang, Bing Liu, Xueyong Pang

“…Moreover, higher trophic levels within protist communities showed greater sensitivity to succession, indicating functional restructuring in soil micro-food webs during ecosystem development. This integrative perspective enhances our understanding of soil protist communities, highlighting the interactions between abiotic and biotic factors that shape belowground ecosystems across environmental gradients.…”
Get full text

Towards a geography of plastic fragmentation by Maciej Liro, Anna Zielonka

“…We propose a research agenda that includes mapping fragmentation hotspots, conducting field experiments across environmental gradients, developing integrative modeling approaches, and leveraging spatial management strategies to mitigate secondary microplastic release. …”
Get full text

Climate change-induced shifts in the ecological niches of Parkia biglobosa (Jacq.) and Vitellaria paradoxa CF Gaertn, two species of agroforestry parks in Benin, West Africa by Chaffra Charles Yabi, Jacques Idohou Kadjogbé Ayena, Séverin Biaou, Serge Adomou, Thierry Dèhouégnon Houehanou, Gérard Nounagnon Gouwakinnou

“…Understanding the effects of climate change on species distribution patterns is fundamental to biogeography and evolutionary ecology, especiallyfor socio-economically important agroforestry species such as Parkia biglobosa R.Br. ex Benth and Vitellaria paradoxa CF Gaertn. However, gaps remain regarding the evolution of ecological niches of these widespread species. …”
Get full text