Intelligent identification method of origin for Alismatis Rhizoma based on image and machine learning by Wenqi Zhao, Zongyi Zhao, Wen Zheng, Zimin Wang, Gaoting Yang, Zhiqiong Lan, Xiaoli Pan, Min Li

“…Therefore, there is a need for a method that is both fast and objective to determine the source of AR. …”
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Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images by Jeremiah M. Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, Mario Costa Cruz, Aleksander Kralovec, Shirsa Udgata, Alexa Schmitz, Dustin A. Deming, Beth A. Cimini, Melissa C. Skala

“…Abstract Autofluorescence microscopy uses intrinsic sources of molecular contrast to provide cellular-level information without extrinsic labels. …”
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HPLC-MS/MS method development and validation for the determination of tetradecapeptide in human plasma by M. A. Tokareva, E. S. Melnikov, M. V. Belova, E. N. Fisher, T. A. Rodina, I. E. Shohin

“…Peptide derivatization can help achieve optimal chromatographic separation and increase method sensitivity.Aim. …”
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Establishment and Application of MCRV Detection Method for Larvae of Mud Crab, Scylla paramamosain by Xiyu JIN, Shouhu LI, Yue WU, Xu CHU, Wei WANG, Wenhong FANG, Xincang LI

“…Therefore, in this study, we selected the highly expressed VP11 of MCRV as the target gene, designed specific primers and TaqMan-MGB probes, and established a qRT-PCR detection method suitable for MCRV in mud crab larvae by optimizing the reaction system and procedure, using standard plasmid and RNA as the templates. …”
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Multi‐objective and multi‐stage low‐carbon planning of park integrated energy system considering random outages from superior power grid by Xunpu Jiang, Zhejing Bao, Jianwei Chen, Miao Yu

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Integrating the circular economy model into the management and treatment of Fischer–Tropsch effluents—a conversion of waste to energy (biogas) opportunity by Mabatho Moreroa, Thapelo P. Malematja, Grace Nkechinyere Ijoma

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The impact of spatial representation in energy transition modelling on systemwide energy return on investment by Hasret Sahin, Abebe Asfaw Solomon, Arman Aghahosseini, Christian Breyer

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Social Programs in the Structure of Expenditures of the Consolidated Budget of the Federa-tion Subject by A. S. Dmitriev, A. M. Stash

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Reducing the Break-even Time by Smart Power Managing in Data Center with Renewable Energy by somayyeh taheri, Maziar Goudarzi

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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Time Synchronization Techniques in the Modern Smart Grid: A Comprehensive Survey by Yu Liu, Biao Sun, Yuru Wu, Yongxin Zhang, Jiahui Yang, Wen Wang, Naga Lakshmi Thotakura, Qian Liu, Yilu Liu

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Enhancing access to underutilized ground water potential for improving livelihoods and conflict reduction in Kagera Sub-Basin, Tanzania by Estella Mgala, Joel Nobert, Edmund B. Mabhuye, Brown Gwambene

“…The study employed a mixed-methods approach, utilizing key informant interviews, household questionnaires, focus group discussions, direct observations, and secondary data sources. …”
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Thermal Simulation in Wire Arc Additive Manufacturing of A 5356 Aluminium Single Track Deposited on 7108 Aluminium Substrate by Eman Shams, Noha Ramadan, Marwan Abdelwahed, Nahed ElMahallawy, Mohamed A Taha

“…An adapted version of Goldak’s heat source model is integrated with the material deposition strategy. …”
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Energy Management Control Strategy Based on Harris Hawks Optimization Technique for Fuel Cell Hybrid Electric Vehicle by Gondu Vykunta Rao, Ankit Soni, Aruna Bharathi, Baratam Murali, Vanjarapu Vykunta Rao

“…This paper will discuss the combination of Harris Hawks Optimization (HHO) for the energy management and control of these source systems, for the constraint of mandated sources, and to ensure stability. …”
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Comparison of methods for the quantification of cell-free DNA isolated from cell culture supernatant by Abel Jacobus Bronkhorst, Vida Ungerer, Stefan Holdenrieder

“…Although these are interesting findings, it can also be a great source of experimental confusion and emphasizes the importance of method optimization and standardization. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…Experiments show that the model significantly outperforms baseline methods such as HMM, CRF, and BiLSTM, and the graph visualization clearly presents the fault causality network, which supports knowledge reasoning and decision optimization. …”
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Study on modified Whitley model with different number and various methods of forming elite individuals by N. S. Krivoshey, V. G. Kobak

“…Materials and Methods. All the algorithms implemented under the development of the software tool for solving the optimization scheduling problem are considered. …”
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Data and methods for assessing urban green infrastructure using GIS: A systematic review. by Xiaomian Wu, Jianquan Liu, Yukun Hou

“…Comprehensive and visual assessments utilizing Geographic Information Systems (GIS) offer an empirical foundation for the planning, construction, and optimization of Urban Green Infrastructure (UGI), effectively promoting its sustainable development. …”
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Assessment and Optimization of Ecological Networks in Trans-Provincial Metropolitan Areas—A Case Study of the Xuzhou Metropolitan Area by Yijia Zhao, Peiyuan Zhang, Hao Xu, Wei Liu

“…In this study, we optimized the identification of ecological sources at the metropolitan area scale by constructing the ‘MIE’ model combined with the threshold analysis method, identified the core ecological sources in the Xuzhou Metropolitan Area, a typical cross-provincial metropolitan area in China, and then extracted the ecological corridors by using the Linkage Mapper tool based on this method. …”
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High Current Accelerator-driven Neutron Sources - The HBS project for a next generation neutron facility [version 2; peer review: 3 approved, 1 approved with reservations] by Ralf Gebel, Olaf Felden, Romuald Hanslik, Andreas Lehrach, Oliver Meusel, Yannick Beßler, Holger Podlech, Thomas Gutberlet, Thomas Brückel, Johannes Baggemann, Klaus Lieutenant, Jingjing Li, Ulrich Rücker, Eric Mauerhofer, Paul Zakalek, Jörg Voigt

“…Methods A project was launched at the Jülich Centre for Neutron Science for the development, design and demonstration of such an innovative high-current accelerator driven neutron source termed “High-Brilliance neutron Source” (HBS). …”
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