Évaluer les bénéfices de la protection d’une zone humide : application aux sites du Conservatoire du littoral du Bassin d’Arcachon by Thomas Binet, Isabelle Mercier-Delacourte, Ambre Diazabakana, Nastasia Keurmeur

“…Both scenarios integrate the ability of ecosystems to adapt in modeling variation of ecosystem services provision impacted by two major factors: first, threats to ecosystem for which it is possible to apply models built from past trends; then, management measures related to the Conservatoire’s acquisition and management strategy that may generate ruptures. …”
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Map‐matching for cycling travel data in urban area by Ting Gao, Winnie Daamen, Panchamy Krishnakumari, Serge Hoogendoorn

“…The method is able to unveil variations in cyclist travel behavior, providing municipalities with insights to optimize cycling infrastructure and improve traffic management, such as by identifying high‐traffic areas for targeted infrastructure upgrades and optimizing traffic light settings based on cyclist waiting times.…”
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Advancing Precision Medicine: The Role of Genetic Testing and Sequencing Technologies in Identifying Biological Markers for Rare Cancers by Joviana Farhat, Lara Alzyoud, Mohammad AlWahsh, Animesh Acharjee, Basem Al‐Omari

“…This highlights why these methods are now considered as primary tools in rare cancer research. …”
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ANFIS-RTSMC based MPPT for a hybrid PV-diesel-battery water pumping system by Khalil Chnini, Houda Jouini, Hatem Allagui, Abdelkader Mami

“…This combination ensures unprecedented steady-state resilience to changes in solar irradiance, enhancing system stability across a variety of IMD speeds, and making the system robust to parameter variations. Unlike traditional approaches, this two-stage photovoltaic (PV) setup integrates a regulated boost converter for MPPT control and a three-phase inverter using Space Vector Pulse Width Modulation (SVPWM) to regulate the DC link voltage (Vdc). …”
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A Residual Physics-Informed Neural Network Approach for Identifying Dynamic Parameters in Swing Equation-Based Power Systems by Jiani Zeng, Xianglong Li, Hanqi Dai, Lu Zhang, Weixian Wang, Zihan Zhang, Shengxin Kong, Liwen Xu

“…Several challenges hinder accurate and physically consistent dynamic parameter estimation in power systems, particularly under scenarios involving limited measurements, strong system nonlinearity, and high variability introduced by renewable integration. Although data-driven methods such as Physics-Informed Neural Networks (PINNs) provide a promising direction, they often suffer from poor generalization and training instability when faced with complex dynamic regimes. …”
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Tendon Anomaly Identification in Prestressed Concrete Beams Based on an Advanced Monitoring MEMS and Data-Driven Detection of Structural Damage by Giorgio de Alteriis, Giulio Mariniello, Tommaso Pastore, Alessia Teresa Silvestri, Giuseppe Augugliaro, Ida Papallo, Canio Mennuti, Antonio Bilotta, Rosario Schiano Lo Moriello, Domenico Asprone

“…Moreover, thanks to the global nature of modal parameters, their variations are not limited to the location of the damage. …”
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Using Rainfall‐Induced Groundwater Temperature Response to Estimate Lateral Flow Velocity by Kewei Chen, Zhilin Guo, Maosheng Yin, Xiuyu Liang, Zhenbo Chang, Shuai Yang, Xiaoou Wei, Xuchen Zhai, Chunmiao Zheng

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Application of Array Imaging Algorithms for Water Holdup Measurement in Gas–Water Two-Phase Flow Within Horizontal Wells by Haimin Guo, Ao Li, Yongtuo Sun, Liangliang Yu, Wenfeng Peng, Mingyu Ouyang, Dudu Wang, Yuqing Guo

“…Water holdup across the wellbore cross-section was also calculated using arithmetic averaging and integration methods. The results obtained from the three imaging algorithms were compared with these reference values to evaluate accuracy and visualize imaging performance. …”
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Application of Doehlert design combined with chemometrics tools: Example of the optimization of the elution of neurotransmitters and metabolites by HPLC by Camille Rosier, Bruno P. Guiard, Guillaume Gotti

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GTN-GCN: Real-Time Traffic Forecasting Using Graph Convolutional Network and Transformer by Sadia Naj Jinia, Sumaiya Binte Azad, Rima Akter, Taivan Reza Dipto, Md. Khaliluzzaman

“…For longer prediction horizons (30, 45, and 60 min), the model consistently outperformed baseline methods, maintaining competitive RMSE and MAPE values. …”
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Point-of-Care Diagnosis of Bladder Cancer With Vibrational Spectroscopy: A Systematic Review by Arthur Yim, Matthew Alberto, Varun Sharma, Bayden Wood, Jaishankar Raman, Lih-Ming Wong, Joseph Ischia, Damien Bolton

“…ConclusionsVS shows high potential for BCa diagnosis, but there is a need for uniform reporting methods and studies with adequate sample sizes to validate the models. …”
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Fluorescence Color Gradient Immunochromatographic Assay for Highly‐Sensitive, Quantitative, and Simultaneous Detection of Small‐Molecule Pollutants by Shu Wang, Changyue Xu, Xiaosong Wu, Tao Zhang, Jiahuan Zhang, Wenlong Bai, Shuai Zheng, Bing Gu, Chongwen Wang

“…This nanomembrane exhibits high stability in complex environments and provides superior fluorescence along with a larger reactive interface for sensing. The integration of GTQD@Si with green fluorescent microspheres embedded in the test line generates a broad fluorescence color gradient based on variations in target molecule concentrations, thereby significantly enhancing the sensitivity, stability, and quantitative range of the immunochromatographic assay (ICA). …”
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Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China by Kuangda Cui, Kuangda Cui, Jianli Ding, Jianli Ding, Jinjie Wang, Jinjie Wang, Jiao Tan, Jiao Tan, Lijing Han, Jiangtao Li, Jiangtao Li

“…Solar-induced chlorophyll fluorescence (SIF), which reflects plant photosynthetic status and stress, shows promise for monitoring salinity but remains underutilized in this region.MethodsThis study integrated SIF-derived indices (SIFI) with soil salinity data to build a region-specific prediction model. …”
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Plant polysaccharides in the regulation of the tumor microenvironment: a review by Yuhua Li, Yang Sun, Gui’e Chen, Xinrong Yuan, De Cai

“…It emphasizes how structural heterogeneity—such as variations in glycosidic bond types and molecular weight—influences bioactivity, and identifies key translational challenges, including the standardization of extraction methods and the development of nanodelivery systems. …”
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Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy by Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng

“…Compared to traditional methods, robustness in highly heterogeneous regions was improved by leveraging interannual map integration, yielding species distribution maps with greater spatial consistency and temporal stability. …”
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Refining landsat-based annual NDVImax estimation using shape model fitting and phenological metrics by Lihao Zhang, Miaogen Shen, Licong Liu, Xuehong Chen, Ruyin Cao, Qi Dong, Yang Chen, Jin Chen

“…However, in cloudy regions with summer-green vegetation, such as the Tibetan Plateau, the scarcity of cloud-free Landsat NDVI observations complicates NDVImax estimation, particularly due to interannual variations in phenology and NDVImax. This study proposed a shape model fitting method that integrates interannual phenological similarity to estimate Landsat NDVImax, using the Tibetan Plateau as an example. …”
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Research on Optimized Algorithm for Deep Learning Based Recognition of Sediment Particles in Turbulent Flow by WANG Hao, YANG Feiqi, ZHANG Lei, WU Wei, XIE Haonan, ZHAO Lin

“…However, because this method depends solely on grayscale variations, it presents limitations in identifying regions with minor grayscale changes. …”
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Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…Specifically, the method employs MAD as a dispersion measure, which serves as the key metric for determining the most appropriate dimension along which the particle data should be reordered. …”
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AI-Assisted Detection and Localization of Spinal Metastatic Lesions by Edgars Edelmers, Artūrs Ņikuļins, Klinta Luīze Sprūdža, Patrīcija Stapulone, Niks Saimons Pūce, Elizabete Skrebele, Everita Elīna Siņicina, Viktorija Cīrule, Ance Kazuša, Katrina Boločko

“…This study focuses on developing and validating an artificial intelligence (AI) model using U-Net architectures for the accurate detection and segmentation of spinal metastases from computed tomography (CT) images, addressing both osteolytic and osteoblastic lesions. Methods: Our methodology employs multiple variations of the U-Net architecture and utilizes two distinct datasets: one consisting of 115 polytrauma patients for vertebra segmentation and another comprising 38 patients with documented spinal metastases for lesion detection. …”
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Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

“…The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. …”
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