Research on site selection and capacity determination problem based on improved particle swarm algorithm by Xiaotong Mi, Qinyang Liu, Bo Geng, Yong Zhu

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Sea dragon metabolome and lipidome unveil bioactive functional food candidates with sepsis therapeutic activities by Huixiang Wu, Miaoyu Li, Lijun Ge, Weibo Lu, Xuewei Shen, Yu Zhang, Zengyan Wu, Jianding Wang, Yonghui Wu, Huijuan Mao, Jianliang Zhang, Qingcheng Wang, Jing Xue, Qing Shen, Yuexing Tu

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Fermented, Freeze-Dried Snacks from <i>Lactarius deliciosus</i> as a Source of Functional Compounds and Lactic Acid Bacteria by Kavya Venugopal, Paweł Satora, Katarzyna Kała, Katarzyna Sułkowska-Ziaja, Agnieszka Szewczyk, Beata Ostachowicz, Bożena Muszyńska, Emilia Bernaś

“…After 6 months of storage, mushroom products were a good source of functional compounds, especially LAB, minerals, indoles, lovastatin, antioxidants (phenolic compounds), and dietary fibre. …”
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Multilingual Investigation of Cross-Project Code Clones in Open-Source Software for Internet of Things Systems by Wenqing Zhu, Norihiro Yoshida, Yutaka Matsubara, Hiroaki Takada

“…We collected 122 IoT system repositories in nine languages from GitHub and grouped them according to their primary functionality in IoT systems. We used MSCCD, a multilingual code clone detector to detect Type-3 code clones for each group. …”
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Acoustic modelling of surface sources. Part II. Piston model, asymmetrical function of vibration velocity, discretizing error, axisymmetrical problem by A. BRAŃSKI

“…Then the model of the source consists of an array of driving pistons. In order to select the optimal position of the boundary between the pistons, the measure of the divergence/convergence between directivity function of the model and exact was analysed. …”
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The Microbiome of Continuous Wheat Rotations: Minor Shifts in Bacterial and Archaeal Communities but a Source for Functionally Active Plant-Beneficial Bacteria by Andrea Braun-Kiewnick, Adriana Giongo, Priscilla Mena Zamberlan, Patrick Pluta, Heinz-Josef Koch, Henning Kage, Kornelia Smalla, Doreen Babin

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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Multi-view OCC approaches usually require collecting multi-view traffic data from all sources and have difficulty detecting intrusion independently in each view. …”
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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…It then constructs an objective function within a least squares framework and optimizes it using the Levenberg–Marquardt (LM) algorithm to achieve a stable estimation of magnetic source parameters. …”
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Detecting ROM changes using KINOVEA after muscle decontracture technique by Popa Vlad, Sandor Iosif, Ciocoi-Pop Dumitru Rareș

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Integrating individual tracking data and spatial surveys to improve estimation of animal spatial distribution by Valentin Lauret, Nicolas Courbin, Olivier Scher, Aurélien Besnard

“…Here, we showcased how to combine individual tracking and count data to estimate habitat selection at the population level. We developed an integrated model that provides a joint estimation of habitat selection for tracking data fitted with a resource selection function (RSF) and count data fitted with a Poisson generalized linear model (GLM), both respecting the statistical conditions for converging with an inhomogeneous Poisson point process. …”
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Mapping Pressure Surge Source in Urban Water Networks: Integrating Low‐ and High‐Frequency Pressure Data With an Illustrative Real Case Study by S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, C. Capponi

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Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

“… Thenus spp. are slipper lobsters which are commercially significant as a food source with good aquaculture potential. This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. …”
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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

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Simulation Study on Detection and Localization of a Moving Target Under Reverberation in Deep Water by Jincong Dun, Shihong Zhou, Yubo Qi, Changpeng Liu

“…Deep-water reverberation caused by multiple reflections from the seafloor and sea surface can affect the performance of active sonars. To detect a moving target under reverberation conditions, a reverberation suppression method using multipath Doppler shift in deep water and wideband ambiguity function (WAF) is proposed. …”
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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

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Axial-UNet++ Power Line Detection Network Based on Gated Axial Attention Mechanism by Ding Hu, Zihao Zheng, Yafei Liu, Chengkang Liu, Xiaoguo Zhang

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Identification and Mining of Functional Components of Polyphenols in Fruits of <i>Malus</i> Germplasm Resources Based on Multivariate Analysis by Dajiang Wang, Guangyi Wang, Xiang Lu, Zhao Liu, Simiao Sun, Hanxin Guo, Wen Tian, Zichen Li, Lin Wang, Lianwen Li, Yuan Gao, Kun Wang

“…Polyphenols are important functional components that have anti-cancer and anti-inflammatory effects. …”
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Affinity selection mass spectrometry (AS-MS) for prospecting ligands in natural product libraries by Bruno S. do Amaral, Marcela C. de Moraes, Carmen L. Cardoso, Quezia B. Cass

“…Natural product libraries are a source of diverse 3D molecular features furnishing an array of biological functions in drug discovery research. …”
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Cosmological Evolution of Fast Radio Bursts and the Star Formation Rate by Sujay Champati, Vahé Petrosian

“…As is the case for all extragalactic sources, we are dealing with data that are truncated by observational selection effects, the most important being the flux limit, which introduces the so-called Eddington-Malmquist bias. …”
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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…Firstly, a millimeter-wave radar and LiDAR are used to perceive by single sensor, and the sensing results were merged by using a multi-source fusion algorithm, to generate more accurate detection results. …”
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