Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…Using these indices, false-color images are generated by combining red, green, blue, alpha channels. When integrated with a deep learning model, these images enable the remote classification of the reservoirs’ trophic state. …”
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CenterNet-Elite: A Small Object Detection Model for Driving Scenario by Lingling Wang, Xiang Li, Xiaoyan Chen, Bin Zhou

“…In the meantime, we construct multiple short connections to integrate feature maps of the same scale during the downsampling and upsampling stages, thereby retaining critical shallow spatial information. …”
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Determination of the Standardized Ileal Amino Acid Digestibility of U.S. Tannin-Free Sorghum in Broilers by Santiago Sasia, William Bridges, Mireille Arguelles-Ramos

“…An incomplete block design was implemented using the direct method to assess the SIAD of eight sorghum samples and one corn sample as the standard. …”
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Deciphering Spatially Resolved Lyman-Alpha Profiles in Reionization Analogs: The Sunburst Arc at Cosmic Noon by Erik Solhaug, Hsiao-Wen Chen, Mandy C. Chen, Fakhri Zahedy, Max Gronke, Magdalena J. Hamel-Bravo, Matthew B. Bayliss, Michael D. Gladders, Sebastián López, Nicolás Tejos

“…By comparing the spatially and spectrally resolved Ly$\alpha$ lines in Sunburst, we argue that the directly escaped Ly$\alpha$ photons originate in a volume-filling, warm ionized medium spanning $\sim1$ kpc, while the LyC leakage is confined to regions of $\lesssim200$ pc. These sub-kpc variations in Ly$\alpha$ profiles highlight the complexity of interpreting integrated properties in the presence of inhomogeneous mixtures of gas and young stars, emphasizing the need for spatially and spectrally resolved observations of distant galaxies.…”
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NMD-FusionNet: a multimodal fusion-based medical imaging-assisted diagnostic model for liver cancer by Qing Ye, Minghao Luo, Jing Zhou, Chunlei Cheng, Lin Peng, Jia Wu

“…The framework includes a three-stage pipeline: first, a refined non-local means filtering algorithm is employed for pre-screening, discarding over 80% of non-diagnostic images using adaptive thresholding; second, a multimodal image fusion method integrates multi-phase, multi-source liver cancer image data through multi-scale decomposition and precise fusion rules to reduce noise and motion artifacts; third, a dual-path DconnNet segmentation network is constructed, incorporating a directional excitation module in the encoder and a spatial awareness unit in the decoder, guided by a boundary-constrained loss function to enhance segmentation accuracy. …”
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Differences Research on Human Overall Comfort Under Low Pressure by Tieming Guo, Songtao Hu, Qingqing Li

“…It offers beneficial references and ideas for the integrated development of interdisciplinary fields.…”
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Modelling and Simulation of Perturb and Observe MPPT Algorithm Based on The PI Controller for Photovoltaic System by Ahlam Mohamad Shakoor, Hersh Hasan Taha

“…In this work, the maximum power point tracking (MPPT) system employing perturb and observe (P&O) algorithm is implemented based on the Proportional and Integral (PI) controller on the proposed PV system to achieve the highest power production from photovoltaic (PV) system and enhance the system performance. …”
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Temporal-Spatial Thermal Comfort Across Urban Blocks with Distinct Morphologies in a Hot Summer and Cold Winter Climate: On-Site Investigations in Beijing by Tengfei Zhao, Tong Ma

“…This study employs the thermal walk method, integrating microclimatic measurements with thermal perception questionnaires, to conduct on-site OTC investigations across three urban blocks with contrasting spatial morphologies—a business district (BD), a residential area (RA), and a historical neighborhood (HN)—in Beijing, a hot summer and cold winter climate city. …”
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Efficient field correction of low-cost particulate matter sensors using machine learning, mixed multiplicative/additive scaling and extended calibration inputs by Slawomir Koziel, Anna Pietrenko-Dabrowska, Marek Wojcikowski, Bogdan Pankiewicz

“…Our method integrates multiplicative and additive corrections, with coefficients determined by an artificial neural network (ANN) surrogate. …”
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Glaucoma treatment and deprivation: time-series analysis of general practice prescribing in England by Jeremy Hooper, Cecilia Helen Fenerty, James Roach, Robert Anthony Harper

“…Further research is needed to explore reasons for this discrepancy, permitting strategies to be developed to reduce unwarranted variation.…”
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Spatio-Temporal Evolution and Susceptibility Assessment of Thaw Slumps Associated with Climate Change in the Hoh Xil Region, in the Hinterland of the Qinghai–Tibet Plateau by Xingwen Fan, Zhanju Lin, Miaomiao Yao, Yanhe Wang, Qiang Gu, Jing Luo, Xuyang Wu, Zeyong Gao

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Paradigm predictive analysis of two-phase Eyring–Powell fluid flow over a vertical stretching sheet with temperature-dependent viscosity by multilayer neural networks by Zahoor Shah, Hamza Iqbal, Waqar Azeem Khan, Taseer Muhammad, Muhammad Shoaib

“…PDEs are converted into nonlinear ODEs with similarity transformations, which are solved using the Adam method in Mathematica with varied physical parameters to generate a reference dataset. …”
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Coupled Lake‐Atmosphere‐Land Physics Uncertainties in a Great Lakes Regional Climate Model by William J. Pringle, Chenfu Huang, Pengfei Xue, Jiali Wang, Khachik Sargsyan, Miraj B. Kayastha, T. C. Chakraborty, Zhao Yang, Yun Qian, Robert D. Hetland

“…Abstract This study develops a surrogate‐based method to assess the uncertainty within a convective permitting integrated modeling system of the Great Lakes region, arising from interacting physics parameterizations across the lake, atmosphere, and land surface. …”
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In situ high-temperature Raman spectroscopy for online EAF slag analysis by Bohong Zhang, Hanok Tekle, Ronald J. O'Malley, Jeffrey D. Smith, Farhan Mumtaz, Jie Huang

“…Real-time monitoring of slag chemistry is critical for optimizing Electric Arc Furnace (EAF) steelmaking operations, where dynamic variations in slag composition directly influence slag foaming, refractory degradation, and thermal efficiency. …”
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Small amounts of misassembly can have disproportionate effects on pangenome-based metagenomic analyses by Stephanie N. Majernik, Larry Beaver, Patrick H. Bradley

“…Fortunately, we show that most contaminants can be automatically flagged and provide a simple method for doing so. Furthermore, applying this method reveals a new association between cirrhosis and gut microbial motility.…”
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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

“…These findings support that the ANFIS-GA approach has a high degree of flexibility, accuracy, and consistency, and it is thus an effective method in improving PV performance in a complex and dynamically varied systems.…”
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Research on coordinated control of support system of magnetoelectric hybrid suspension belt conveyor by Kun HU, Hao JIANG, Zhuo CHEN, Jie NIU, Gang XU

“…This description, integrated with electromechanical relationships, forms the control equation for the electromagnetic forces in the hybrid suspension system. …”
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Optimum Selection of Lithium Iron Phosphate Battery Cells for Electric Vehicles by Arda Akyildiz, Bati E. Ergun, Ege Uzun, Mustafa A. Zehir, Cavit F. Kucuktezcan, Ilhan Kocaarslan, Mehmet O. Gulbahce

“…In order to ensure a fair assessment, the model accounts for variations in battery pack weight as the sole influencing factor on vehicle dynamics. …”
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Enhanced FCS-MPC for DFIG Under Non-Ideal Grid Conditions by Yuri O. YuriCota, Jefferson S. Costa, Angelo Lunardi, Igor Oliani, Ekom E. Okpo, Alfeu J. Sguarezi Filho

“…Experimental tests on a 3 kW/220 V DFIG bench setup demonstrated that the proposed enhancements deliver superior performance to conventional MPC-FCS, SRF-PLL, Deadbeat, and classical PI controllers. The proposed method, integrated with DDSRF-PLL, exhibited superior performance compared to the other strategies, standing out in waveform quality and dynamic response. …”
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Post-Mining Hazard Management of the Former Gardanne Coal Basin (France): Feedback of 17 Years of Microseismic Monitoring by Isabelle Contrucci, Jannes L. Kinscher, Kévin Delage, Emmanuelle Klein

“…This finding underscores the need to integrate fault reactivation into seismic monitoring strategies, beyond the current focus on mining-induced instabilities. …”
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