Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Our method presented can be used as an auxiliary tool for reduction pipeline optimization and improving source measurements, and it deserves wide applications in similar tasks.…”
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Analysis and Calculation of Energy Storage Configuration in Power System by Yu DONG, Gaofeng FAN, Cun DONG, Ruoying YU, Junyi ZHAO

“…Starting from the overall operation demand of the power system, this paper summarized three key factors that should be considered for the energy storage configuration: the source-grid-load development, the replacement effect of energy storage on conventional units, and the comprehensive optimization of energy storage charging/discharging strategies. …”
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Valorization of wood waste for enhanced polyhydroxybutyrate production by Klebsiella sp. MK3 by Mukesh Kumar, Rohan Samir Kumar Sachan, Arun Karnwal, Dharmesh Sur, Rahul Thakur, Abhinav Kumar, Sathiyamoorthy Manickkam, Abinet Gosaye Ayanie, Hamad Almujibah

“…MK3 identified as the most effective in PHB production after 16s rRNA sequencing. Analytical methods including the Molisch test, DNS, and sugar utilization tests confirmed sugar presence and consumption by the bacterial isolate. …”
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Control Strategy for Power Fluctuation Smoothing at Distribution Network Substations Considering Multiple Types of Adjustment Resources by Shaobo Yang, Xuekai Hu, Liang Meng, Shiwei Xue, Hao Zhou, Fengming Shi, Siyang Liao

“…In the day-ahead stage, traditional voltage regulation devices such as the OLTC (on-load tap changer) and CB (circuit breaker) are pre-dispatched based on source–load forecasts, optimizing the fluctuation range of substation power and the number of device operations. …”
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Micropropagation of Rare Endemic Species <i>Allium microdictyon</i> Prokh. Threatened in Kazakhstani Altai by Damelya Tagimanova, Olesya Raiser, Alevtina Danilova, Ainur Turzhanova, Oxana Khapilina

“…Mature seeds of <i>A. microdictyon</i> collected from natural habitats in the Kazakhstani Altai were used as explants. Optimization of seed sterilization methods, selection of growth regulators for inducing adventitious shoot formation and microclonal propagation, and optimization of conditions for adaptation of regenerants to ex vitro conditions were carried out. …”
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A Fast Two-Dimensional Direction-of-Arrival Estimator Using Array Manifold Matrix Learning by Jieyi Lu, Long Yang, Yixin Yang, Lu Wang

“…Sparsity-based methods for two-dimensional (2D) direction-of-arrival (DOA) estimation often suffer from high computational complexity due to the large array manifold dictionaries. …”
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An overview of ahead geological detection technologies in tunnels by Dingchao Chen, Xiangyu Wang, Jianbiao Bai, Yuan Chu, Xian Wang, Jiaxin Zhao, Menglong Li

“…This paper underscores the need for multi-source, cooperative detection approaches and transparent geological models to improve the safety and efficiency of tunneling operations, ultimately contributing to the optimization of tunnel design and construction strategies.…”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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Research advances in mesenchymal stem cells and related therapies for rotator cuff tendon-to-bone healing by Laimeng Song, Na Li, Jiwu Chen

“…Clinical studies demonstrate reduced retear rates with MSC-based therapies, yet animal models show inconsistent outcomes, influenced by cell source, delivery methods, and dosage. MSC modifications (e.g., gene editing) and scaffold-based strategies further improve biomechanical strength and fibrocartilage regeneration. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…The growing frequency of emerging infectious diseases highlights the urgency for more rapid and accurate surveillance methods. This perspective proposes a forward-looking conceptual framework for AI-driven epidemic intelligence, emphasizing the transformative potential of integrating large language models (LLMs), natural language processing (NLP), and optimization-based resource allocation strategies. …”
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http://journal.ie.asm.md/assets/files/07_03_44_2019.pdf by Tatarinova N.V., Sushchikh V.M.

“…Its relevance is due to the necessity to improve calculation methods for cogeneration turbine units since they are still the main source of thermal energy in centralized heat supply systems. …”
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U-Pb age characteristics of detrital zircon and provenance analysis of a Middle Miocene submarine fan in the Qiongdongnan Basin by Shengli GONG, Zhuoyu YAN, Baiqiang LI, Tongyao ZHANG, Turong WU, Junfeng PENG, Lei ZHENG, Dongfeng ZHANG, Xiangsheng HUANG, Chengfei LUO, Ren WANG

“…Methods In this paper, the detrital zircon U-Pb age spectrum characteristics of drilling cores from the middle Miocene submarine fan in the Qiongdongnan Basin were analysed and compared with the U-Pb ages of zircons from potential provenance areas to determine the source of submarine fans in the study area. …”
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The Capacity Configuration of a Cascade Small Hydropower-Pumped Storage–Wind–PV Complementary System by Bin Li, Shaodong Lu, Jianing Zhao, Peijie Li

“…Therefore, it is necessary to develop a capacity configuration method that improves the output stability of highly uncertain energy sources such as wind and photovoltaic (PV) power by integrating pumped storage units. …”
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Application of collaborative innovation between the logical brain and the associative brain in oil and gas gathering and transportation systems by Jing GONG, Siheng SHEN, Daqian LIU, Qi KANG, Shangfei SONG, Haihao WU, Bohui SHI

“…Traditional simplified analytical methods struggle to cope with dynamic uncertainties, while existing data-driven algorithms are confronted with the dual challenges of lacking interpretability and insufficient robustness. …”
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AMMap tool for additive manufacturing design, alloy discovery, and path planning by Alexander M Richter, Adam M Krajewski, Zhening Yang, Allison M Beese, Zi-Kui Liu

“…To define and navigate the high order chemical systems of CCMs/FGMs, the open-source tool, AMMap, has been developed utilizing open models and CALPHAD methods for thermodynamic computation. …”
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Analysis of Landscape Fragmentation Evolution Characteristics and Driving Factors in the Wei River Basin, China by Changzheng Gao, Qisen Dang, Chu Li, Yongming Fan

“…The edge density index (ED), the landscape division index (DIVISION), the landscape shape index (LSI), and the Shannon diversity index (SHDI) have increased annually, while the contagion index (CONTAG) and area-weighted mean patch size (Area_AM) have continuously decreased; (2) Landscape fragmentation in the Wei River basin is characterized by stable changes in the source and tributary fragmentation areas, a concentrated distribution of fragmentation in the tributaries, and a significant increase in fragmentation in the main stream; (3) The analysis using the geographic detector method indicates that vegetation coverage (FVC), human activity intensity (HAI), and land use/land cover change (LUCC) are the main driving factors of landscape fragmentation in the Wei River basin. …”
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Targeted proteomics for absolute quantification of glucose transporter 1 in mammalian brain cells using liquid chromatography-mass spectrometry by Yash Mehta, Dhavalkumar Patel, Iqra Pervaiz, Ulrich Bickel, Abraham Jacob Al-Ahmad

“…Taken together, we have developed and optimized a proteomic method for the absolute quantification of GLUT1 in mammalian cells, which allows an alternative method for protein quantification independent of the antibody-based ones.…”
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The Use of General Inverse Problem Platform (GRIPP) as a Robust Backtracking Solution by Nikolas Gomes Silveira de Souza, Jader Lugon, Alexandre Macedo Fernandes, Ramiro Joaquim de Jesus Neves, Antônio José da Silva Neto

“…The use of GRIPP can bypass eventual numerical errors in cases of long-term pollution source identification when compared to traditional methods. …”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. …”
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