Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…Furthermore， a multi-objective evolutionary algorithm is employed to solve this problem， and multiple Pareto optimal solutions are obtained.…”
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An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification by Zhaohui Cen

“…Unfortunately, conventional MPPT algorithms such as perturb and observe (P&O), incremental conductance, and current sweep method need to iterate command current or voltage and frequently operate power converters with associated losses. …”
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Fluid Dynamics of Biomimetic Pectoral Fin Propulsion Using Immersed Boundary Method by Ningyu Li, Yumin Su

“…The fin wake is dominated by a three-dimensional dual-ring vortex wake structure where the partial power-stroke vortex ring is linked to the recovery-stroke ring vertically. …”
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Raman Hyperspectroscopy and Chemometric Analysis of Blood Serum for Diagnosing Celiac Disease in Adults by Entesar Al-Hetlani, Lamyaa M. Almehmadi, Igor K. Lednev

“…Nevertheless, genetic algorithm combined with partial least squares discriminant analysis (GA-PLS-DA) allowed differentiation with 92% sensitivity and 96% specificity at the spectral level in external validation. …”
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Digital Synthesis of Sound Generated by Tibetan Bowls and Bells by Andrzej GOŁAŚ, Roman FILIPEK

“…A coupled mechanical-acoustic field described by partial differential equations was discretized by using the Finite Element Method (FEM) implemented in the ANSYS package. …”
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Analysis and 3D modelling of percolated conductive networks in nanoparticle-based thin films by Stanislav Haviar, Benedikt Prifling, Tomáš Kozák, Kalyani Shaji, Tereza Košutová, Šimon Kos, Volker Schmidt, Jiří Čapek

“…Then, the electrical conductivity of the percolated networks in these virtual structures was computed using the finite element method for various partial oxygen pressures. Simulated resistivity values were compared with experimental measurements obtained from four-point probe resistivity measurements conducted under varying oxygen partial pressures at 150°C A discussion of the validity of the model and its ability to cover qualitatively and quantitatively the observed behaviour is included.…”
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IgG4-related focal retroperitoneal fibrosis in ureter suggestive of colon cancer recurrence and resected laparoscopically: a case report by Tomoyuki Ueki, Toru Miyake, Mitsuhiro Narita, Masatsugu Kojima, Sachiko Kaida, Hiroya Iida, Tomoharu Shimizu, Masaji Tani

“…To our knowledge, this is the first report of laparoscopic partial ureteral resection for IgG4-related focal retroperitoneal fibrosis in a ureter with suspected colon cancer recurrence. …”
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Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…To model the data fit/prediction, principal components regression and partial least squares regression algorithms were considered. …”
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Network characteristics of comorbid symptoms in alcohol use disorder by Xin Yu, Wen Zhang, Can Wang, Guolin Mi, Xiuzhe Chen, Yanhu Wang, Xu Chen

“…The bnlearn package in R was used to construct directed acyclic graph (DAG) for individuals with AUD using the Bayesian hill-climbing algorithm.Results In the partial correlation network, among the three major comorbidity categories, ‘anxiety/depression’ was most strongly associated with ‘sleep quality’. …”
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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…In this paper, an MPSO algorithm-based MPPT tracking approach without a PID controller is proposed to achieve the maximum power point (MPP) of a PEMFC. …”
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Simultaneous determination of the amylose and amylopectin content of foxtail millet flour by hyperspectral imaging by Guoliang Wang, Min Liu, Hongtao Xue, Erhu Guo, Aiying Zhang

“…Partial least squares regression (PLSR) was then used to establish the prediction model and regression equation, which was used to visualize the two components. …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

“…The effectiveness of this approach have been well documented by the significant number of scientists and clinicians, but the research of algorithm that provides specification of changes in the hard tissue around the established titanium element remains topical issues of modern implantology. …”
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Detection Model for Cotton Picker Fire Recognition Based on Lightweight Improved YOLOv11 by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song, Yi Wu

“…The method is optimized according to the structural characteristics of cotton pickers, and a lightweight improved YOLOv11 algorithm is designed for cotton fire detection in cotton pickers. …”
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Designing an e-learning course in the context of professional training of future workers in the tourism industry by Elena Alexandrovna Panina

“…To achieve this goal, a complex of scientific methods has been used: the study of scientific and methodological literature, analysis, design, generalization.The research results are as follows: the concept of «electronic training course» has been disclosed, types of electronic training courses presented; the algorithm for developing an electronic training course described; an example of an electronic training course on the discipline «Program tourism and tourism safety» given; the advantages of using the e-learning course proposed by the author in the educational process of training future workers in the tourism industry described.Key findings are e-learning course is an independent learning unit, e-learning content is focused primarily on self-learning; there are three types of e-learning courses, differing in the degree of presentation of the materials of the work programs – from full compliance with the content of the work program of the discipline to a partial, fragmentary presentation of its individual elements at the discretion of the teacher; the algorithm for designing an e-learning course is represented by defining its structure in accordance with the requirements established by each university, preparing the relevant didactic materials, compiling an information map, presenting it in the e-learning management system, approval and coordination procedures by the relevant structures of a university; the electronic training course proposed by the author on the discipline «Program tourism and tourism safety» has a block structure, contains the parameters for presenting the material for each element of the block; own experience of introducing an electronic training course into the professional training of future employees of the tourism industry has showed its relevance in educational practice.…”
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Identification of fermented soy sauce and blended soy sauce based on dielectric spectra by Yingman Xie, Jiayao Zhao, Chao Mao, Huiyun Pang, Pengfei Ye, Xiangwei Chen, Hongfei Fu, Yequn Wang, Yunyang Wang

“…The sample set was divided into a correction set and a prediction set using the joint x-y distances (SPXY) algorithm, and the partial least squares (PLS) and support vector machine (SVM) models were adopted to distinguish the different samples. …”
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Address Translation in a Compositional Microprogram Control Unit by Alexandr Barkalov, Larysa Titarenko, Oleksandr Golovin, Oleksandr Matvienko

“…The language of graph-schemes of algorithms (GSA) is used to specify the algorithm for the CMCU operating. …”
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Spatial Differentiation Mechanism of Urban Housing Prices from the Perspective of Amenity: A Case Study of Nanjing by Guangyuan Feng, Xiaopu Bi, Jingxiang Zhang, Tianhan Cheng

“…The findings revealed that amenity factors have a positive impact on housing prices, with artificial amenity as the most influential. Partial amenity factors demonstrated nonlinear relationships with housing prices with obvious threshold effects. …”
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Validation and simulation of a regulated survey system through Monte Carlo techniques by Asier Lacasta Soto, M. Morales-Hernández, M. Tejero-Juste, J. Burguete, P. Brufau, P. García-Navarro

“…The dynamics of this kind of flow is governed by a partial differential equations system<br />named shallow water model. …”
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Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs by Stefan Berger, Norbert Hosters, Matthias Möller

“…Abstract This paper proposes a novel approach for solving nonlinear partial differential equations (PDEs) with a quantum computer, the trainable embedding quantum physics informed neural network (TE-QPINN). …”
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A multi-agent reinforcement learning approach for continuous battery cell-level balancing by Yasaman Tavakol-Moghaddam, Mehrdad Boroushaki

“…Trained with the trust region policy optimization (TRPO) algorithm, the approach ensures stability and partial observability. …”
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