A Method for Assessing the Lake Trophic Status Using Hyperspectral Reflectance (400–900 nm) Measured Above Water by Nguyen Thi Thu Ha, Pham Quang Vinh, Nguyen Thien Phuong Thao, Pham Ha Linh, Michael Parsons, Nguyen Van Manh

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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

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Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance by Xianen Wei, Jinsong Chong, Yawei Zhao, Lijie Diao, Xuan Jin

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NO₂ Air Pollution Trends and Settlement Growth in Megacities by Thilo Erbertseder, Hannes Taubenbock, Thomas Esch, Lorenza Gilardi, Heiko Paeth, Stefan Dech

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Variation of Bi-Directional Reflectance at Multiple Spatial Resolutions Over Different Land Cover Types Using UAV-Based Multiangle Images by Fan Ye, Xiaoning Zhang, Zhengjie Wang, Yifei Wang, Zhaoyang Peng, Tengying Fu, Ziti Jiao, Yanxuan Wu, Yue Wang, Yadong Dong, Hu Zhang, Lei Cui, Anxin Ding

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Enhancing Urban Heat Island Analysis Through Multisensor Data Fusion and GRU-Based Deep Learning Approaches for Climate Modeling by Ning Tang, Muhammad Farhan, Pir Mohammad, M. Abdullah-Al-Wadud, Saddam Hussain, Umair Hamza, Rana Muhammad Zulqarnain, Nazih Yacer Rebouh

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Gene-Environment Interactions in Stress Response Contribute Additively to a Genotype-Environment Interaction. by Takeshi Matsui, Ian M Ehrenreich

“…To shed light on this problem, we genetically dissected an environment-specific poor growth phenotype in a cross of two budding yeast strains. This phenotype is detectable when certain segregants are grown on ethanol at 37°C ('E37'), a condition that differs from the standard culturing environment in both its carbon source (ethanol as opposed to glucose) and temperature (37°C as opposed to 30°C). …”
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TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

“…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…A simple, fast, green, and sensitive method for determining Bisphenol A (BPA) levels in commercial milk was developed using a solventless sample preparation technique known as stir bar sorptive extraction, coupled with thermal desorption–gas chromatography/mass spectrometry. BPA was selected due to its ubiquitous presence in the environment and its classification as an endocrine-disrupting chemical of concern (i.e., its ability to mimic hormone functions). …”
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A Systematic Search for Candidate Supermassive Black Hole Binaries Using Periodic Mid-infrared Light Curves of Active Galactic Nuclei by Di Luo, Ning Jiang, Xin Liu

“…Notably, we find no overlap between our sample and optical periodic sources, which can be explained by a distinct preference for certain periods due to selection bias. …”
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Biological properties of cord blood hematopoietic stem cells by S. A. Rumiantsev, E. Yu. Osipova, S. E. Ipatov, T. V. Shamanskaya, O. A. Mayorova, A. G. Rumyantsev

“…Phased developments of the technology of stem cells detection and selection, their proliferation, differentiation and function assessment using cultivation in vitro and in vivo in animal model was described. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Thermal Characteristics Testing and Analysis of Dry Gear Hobbing Machine on Multivariate Information Fusion by Peng Shengdi, Yang Xiao, Li Benjie, He Lang, Zhang Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source fusion test method for the thermal characteristics of dry-cutting and hobbing machine was constructed. …”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…A simple yet effective resource allocation model is incorporated to address the potential computational resource waste associated with dual populations, enhancing the resource utilization. …”
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Thermal characteristics testing and analysis of dry gear hobbing machines on multivariate information fusion by PENG Shengdi, YANG Xiao, LI Benjie, HE Lang, ZHANG Zhili

“…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source information fusion test method for the thermal characteristics of dry gear hobbing machine was constructed. …”
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The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

“…In the real-time position technology of underground shallow source, the signal denoising performance of wireless sensor nodes directly determines the location speed and accuracy of underground burst point. …”
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Comparison of Language Models in Skills Extraction From Vacancies and Resumes by Lyubov Komarova, Vladimir Soloviev, Alexey Kolosov

“…The result of the study is the selection of the best model and the derivation of functions from the summary text, as well as a comparison of the two sets of functions with each other. …”
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Signalling and the evolution of cooperative foraging in dynamic environments. by Colin J Torney, Andrew Berdahl, Iain D Couzin

“…In this work, we examine a seemingly altruistic behaviour, the active recruitment of conspecifics to a food resource through signalling. Here collective, cooperative behaviour may provide highly nonlinear benefits to individuals, since group functionality has the potential to be far greater than the sum of the component parts, for example by enabling the effective tracking of a dynamic resource. …”
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Bovine PMN responses to extracellular vesicles released by Besnoitia besnoiti tachyzoites and B. besnoiti-infected host cells by Gabriel Espinosa, Constanza Salinas-Varas, Lisbeth Rojas-Barón, Christian Preußer, Elke Pogge von Strandmann, Ulrich Gärtner, Iván Conejeros, Carlos Hermosilla, Anja Taubert

“…Therefore, we tested whether exposure of bovine PMN to EVs from different cellular sources affects classical PMN effector functions and cytokine/chemokine secretion. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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