High directional optical transmitter with phased array of nanoptical emitters and efficient error correction for long distance space communications by Elisa Bazzani, Anna Valeria Guglielmi, Roberto Corvaja, Nicola Laurenti, Filippo Romanato, Gianluca Ruffato, Andrea Vogliardi, Giuseppe Vallone, Lorenzo Vangelista, Paolo Villoresi

“…We develop a method for designing such an array, which achieve a main lobe divergence of 1 µrad. …”
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Analysis of Waste of Customer Service Time for New Installations with a Lean Service Approach at PT XYZ by Floresta Andriano De Hautsmand, Enny Aryanny

“…The aim is to identify sources of time waste and apply Lean Service principles to eliminate inefficiencies, thereby improving the customer installation process and enhancing overall service delivery. …”
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New food ingredient via acid-tolerant Rhizopus oligosporus growth by A. Massa, M. Baiget, L.J. Rothschild, E. Axpe, C. Carrero-Carralero

“…A fermentation method has been optimized to maximize the biomass production of R. oligosporus mycelium in solid-state and submerged-state fermentation, yielding 5.9 g dry weight/L and 5.0 g dry weight/L, respectively. …”
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Design and Development of a Pine Needle Briquetting Machine for the Uttarakhand Region of India by Tejas Pramod Naik, Soumyajeet Jaiswal, Inderdeep Singh, Apurbba Kumar Sharma, Ayush Joshi

“…The primary materials utilized to make briquettes are pine needles and forest waste. The proposed method inculcates principles of compression molding along with necessary optimizations. …”
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Accelerated Storage Testing of Vacuum-Dried <i>Lactobacillus acidophilus TISTR 1338</i> for Feed by Apichet Muenaram, Bhundit Innawong, Imrana Niaz Sultan, Muhammad Waseem Khan, Hamza Ghilzai, Afrasiab Khan Tareen, Pramuk Parakulsuksatid

“…Molasses and spent cell yeast serve as promising carbon and nitrogen sources when optimized conditions are employed. The study also suggests that vacuum drying is a promising method for producing dried cells suitable for non-refrigerated storage conditions.…”
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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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3D Visualization Monitoring and Early Warning of Surface Deformation in Subsidence Area Based on GIS by Lei Gao, Yuanwen Song, Bo Zhao

“…In this paper, the main method to prevent electromagnetic leakage of the computer system is the source suppression method. …”
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Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability by Kwanghyun Kim, Yoongun Jung, Minhyeok Chang, Junsang Cha, Seokjun Kang, Hyunkeun Ku, Gumin Kwon, Minhan Yoon, Gilsoo Jang

“…To address this issue, this paper proposes a coordinated control approach a multi-infeed voltage source converter (VSC) high-voltage direct current (HVDC) with linearization. …”
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CPS architecture design for urban roadway intersections based on MBSE by Chen Wang, Xiaoping Ma, Limin Jia, Zheng Lai, Zhexuan Yang, Han Yan, Jing Zhao

“…After the architecture design has been completed, an architecture verification and optimization method based on Failure Mode and Effect Analysis (FMEA) for urban road intersection cyber-physical systems is utilized to analyze the architecture’s reliability by analyzing the failure modes of activities and to optimize the system architecture to improve the design’s efficiency and reliability.…”
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Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies by Gang Chen, Taorui Zeng, Dongsheng Liu, Hao Chen, Linfeng Wang, Liping Wang, Kaiqiang Zhang, Thomas Glade

“…A landslide susceptibility index system is developed using multi-source data, with susceptibility prediction conducted via the XGBoost model optimized by Bayesian methods. …”
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Leveraging historical trials to predict Fusarium head blight resistance in spring wheat breeding programs by Charlotte Brault, Emily J. Conley, Andrew J. Green, Karl D. Glover, Jason P. Cook, Harsimardeep S. Gill, Andrew C. Read, Jason D. Fiedler, James A. Anderson

“…Using the URSN population, reproducing kernel Hilbert space was the best method in various prediction settings, with an average accuracy of 0.63, marker density could be as low as 500 without decreasing the prediction accuracy, and training set optimization was useful for two traits. …”
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Creating custom 3D printing material colors using optical modeling of waste plastic by Kimia Aghamohammadesmaeilketabforoosh, Joshua Givans, Morgan Woods, Joshua Pearce

“…To determine the optimal method, assessment criteria include the application of root mean square (RMS) and the color difference (ΔE CIE-2000). …”
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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The URL address of the MNIST dataset is: https://gitcode.com/Resource-Bundle-Collection/d47b0/overview?utm_source=pan_gitcode&index=top&type=href&;.)…”
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Streamlined gram-scale natural N-glycan production using reversible tagging after oxidative release of natural glycans by Qing Zhang, Yi Lasanajak, Menxin Yan, Golden Chen, Xuezheng Song

“…Treatment with Oxone quantitatively cleaves the tag, regenerating the free reducing N-glycans in high yield. This method provides an accessible, gram-scale source of complex N-glycans, including complex asymmetric structures that are challenging to synthesize through conventional chemoenzymatic approaches. …”
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Research on the Production Process of 99Mo Based on Low Enriched Uranium Fuel in Medical Isotope Test Reactor by Haijun WANG, Zhizhong SUN, Zisheng GENG, Keyu LUO, Yu DENG, Yunming CHEN, Ning LUO, Jinsong ZHANG

“…The research primarily focused on the development and optimization of a novel method involving a combination of spherical alumina columns，an α-benzoin oxime column，and an activated carbon column. …”
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3D Reconstruction With Spherical Cameras by Yan Cui, Qingling Chang, Qiang Liu, Xin Yang, Yajiang Huang, Shichao Chen, Fei Ren, Didier Stricker

“…In the camera locating part, we use a global descriptor augmentation model to build a labeled panorama dataset GDAP, in which the images are captured by our designed spherical cameras; In the depth estimation part, we propose a new network UMDE that can estimate the depth of both indoor and outdoor scenes; Finally, in the 3D surface reconstruction section, we turn the reconstruction problem to a graph optimization problem, called GraphFit, in which, we optimize the point clouds with s-t graph and smoothing method successively. …”
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Digital Low-Altitude Airspace Unmanned Aerial Vehicle Path Planning and Operational Capacity Assessment in Urban Risk Environments by Ouge Feng, Honghai Zhang, Weibin Tang, Fei Wang, Dikun Feng, Gang Zhong

“…A path planning method considering the optimization of the turning points of parallelograms was proposed, and the Parallel-A* algorithm was adopted for its solution. …”
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Development of intelligent controller for high performance electric drives with hybrid CSA and RERNN technique by J. Prabhakaran, P. Thirumoorthi, M. Mathankumar, S. P. Mangaiyarkarasi

“…The primary objective is to control the speed of electric drives using complex mechanical configurations and variable parameters. The CSA optimizes the voltage source inverter’s control signal, while RERNN predicts the optimal control signal. …”
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Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks by Pan Zhao, Lei Feng, Peng Yu, Wenjing Li, Xuesong Qiu

“…It is solved by geometric programming technique in convex optimization method. The latter is derived as a one-to-many matching problem for scheduling multiple subcarriers occupied by cellulars to device-to-device pairs. …”
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Classifying detrital zircon U-Pb age distributions using automated machine learning by Jack W. Fekete, Glenn R. Sharman, Xiao Huang

“…In synthetic experiments, AutoML models effectively classify samples by their sources when inter-source similarity across few sources is low to moderate and samples have more than ∼50 analyses. …”
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