Analysis of a mathematical model for malaria using data-driven approach by Adithya Rajnarayanan, Manoj Kumar, Abdessamad Tridane

“…We used a novel transmission function to model the dependence on temperature and altitude. …”
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Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks by Erdal Kayacan, Mojtaba Ahmadieh Khanesar, Jaime Rubio-Hervas, Mahmut Reyhanoglu

“…The parameter update rules and stability conditions of the learning are derived, and the proof of the stability of the learning algorithm is shown by using a candidate Lyapunov function. …”
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Experiment study on UAV target detection algorithm based on YOLOv8n-ACW by Bo Xue, Bowen Zhang, Qin Cheng

“…Additionally, WIoU-V3 has been introduced as the loss function. Experiment results derived from the Visdrone2019 dataset indicate that, the YOLOv8n- ACW has achieved a 4.2% increase in mAP50(%) compared to the baseline model, while simultaneously reducing the parameter count by 36.7%, exhibiting superior capabilities in detecting small targets. …”
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A multiresolution approach with method-informed statistical analysis for quantifying lymphatic pumping dynamics by Mohammad S. Razavi, Katarina J. Ruscic, Elizabeth G. Korn, Marla Marquez, Timothy T. Houle, Dhruv Singhal, Lance L. Munn, Timothy P. Padera

“…This is driven by the absence of standardized, non-invasive, reliable, quantitative methods for real-time functional analysis of lymphatic contractility with adequate spatial and temporal resolution. …”
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Electrophysiological markers of preclinical diagnosis of glaucomatous optic neuropathy by M. O. Kirillova, M. V. Zueva, I. V. Tsapenko, A. N. Zhuravleva

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Coordinated Control Strategies for Enhancing Frequency Stability of Photovoltaic and Storage Networking Systems by JIANG Shouqi, ZHANG Haifeng, FU Gui, XIN Yechun, WANG Lixin

“…It designs the control parameters and adaptive recovery strategy based on the power regulation margin of the synchronous machine. …”
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Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks by Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang

“…Tire force is a critical state parameter for vehicle dynamics control systems during vehicle operation. …”
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Testbed Configuration for Minimizing PAPR in GFDM Systems Through a Novel Companding Approach by Sowbhagya Appalla, Siva Prasad Valluri, K. N. G. B. Yaswanth, Kishore Vejandla, Chakravarthy Gunturu, Gundla Jagapathi, Nittala Noel Anurag Prashanth, A. V. Prabu

“…In this paper, we rigorously derive the complementary cumulative distribution function (CCDF) for GFDM systems, elucidating its intricate dependence on the design and characteristics of pulse-shaping filters, which are instrumental in managing spectral and temporal properties. …”
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The clinical characteristics and implications of acute kidney injury during induction therapy for acute promyelocytic leukemia by Kai Shen, Chenlu Yang, Jie Huang, Xiao Shuai, Ting Niu, Hongbing Ma

“…Among the five non-ED patients, three did not recover from renal function and were still dialysis-dependent during the follow-up. …”
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A positive feedback loop between FOSB and miR-133b controls colon cancer cell proliferation by Li Wanwan, Hu Qionggui, Lin Changwei, Li Xiaorong, Bai Yang, Ma Min

“…Its biological impacts vary among different types of tumors, yet its specific function in colon cancer (CC) remains ambiguous. In this study, quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC) are applied to measure FOSB expression levels, followed by an analysis of the association between FOSB expression and patients’ clinical parameters. …”
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SmartExplorer1.0: A Novel Intelligent Framework for Path Planning in Robotics by Chiara Furio, Angelo Ugenti, Giulio Reina, Mario Massimo Foglia, Luciano Lamberti

“…The efficiency and versatility of SE1.0 are demonstrated by solving various path planning problems on DTMs also considering real world applications that involve the use of the DUNE rover.…”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

“…Then, we innovatively designed a new joint loss function and PIP constraints to guide the iterative optimization of model parameters. …”
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Mitochondrial DNA copy number in leukocytes of patients with type 2 diabetes mellitus and chronic kidney disease by Y. A. Saienko, D. S. Krasnenkov, K. K. Midlovets, V. V. Korcheva, Y. E. Rebrova, D. D. Yepishyna, B. M. Mankovsky

“…No associations between mtDNA-CN and kidney function parameters were identified. The absence of mtDNA-CN alterations is assumed to contribute to the relatively satisfactory glycemic control in diabetic groups.…”
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Circular Intuitionistic Fuzzy Dombi Aggregation Operators and Their Application to Marine Fuel Selection by Nuraini Rahim, Binyamin Yusoff, Lazim Abdullah, Dian Pratama

“…Therefore, we propose an alternative score function to improve the consistency and accuracy of CIFS value ranking. …”
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Feasibility of three dimensional and strain transthoracic echocardiography in a single-centre dedicated NHS cardio-oncology clinic by Patrick O’Driscoll, David Gent, Liam Corbett, Rod Stables, Rebecca Dobson

“…Abstract Background Following the publication of international cardio-oncology (CO) imaging guidelines, standard echocardiographic monitoring parameters of left ventricular systolic function have been endorsed. …”
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Pacientes hipertensos muestran una mayor respuesta de la frecuencia cardíaca durante el ejercicio progre-sivo en relación con pares adultos normotensos: PROYECTO VASCU-HEALTH (Hype... by Cristian Alvarez, Christian Campos-Jara, Emmanuel Gomes Ciolac, Guilherme Vega-Guimaraes, Omar Andrade-Mayorga, Johnattan Cano-Montoya, David C. Andrade, Pedro Delgado-Floody, Alicia Alonso-Martínez, Mikel Izquierdo, Igor Cigarroa

“…This study aimed 1) to describe and compare the HR during exercise between HTN and normotensive adults and 2) to describe the endothelial function and related vascular parameters in both groups. …”
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An insight into the stochastic solitonic features of the Maccari model using the solver technique. by Hesham G Abdelwahed, Reem Alotaibi, Emad K El-Shewy, Mahmoud A E Abdelrahman

“…We provide new results with complicated structures to this model, including hyperbolic, trigonometric and rational function solutions. We draw the two dimensional (2D) and three dimensional (3D) graphs to some of the study's solutions under appropriately chosen physical parameter values. …”
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基于MATLAB与VRML的凸轮机构虚拟设计研究及实现 by 张明, 周智峰

“…Integrating Matlab Virtual Reality Toolbox,Matlab language and VRML technology,a virtual design system has been developed,on which various cam mechanisms can be designed.The software has a simple and clear graphical user interfaces,and can provide user with parameterized design,three-dimensional graphics and virtual simulation.Further more,the software has some assistant function such as parameter optimization,movement performance analysis,output for graphics and character data,and so on.On this system,user can interact on the virtual scene of cam mechanism created Real-timely,and control the course of simulation.The system indicates that the method can effectively reduce the difficulties and workload,and shorten the time of programing accordingly,because it could take advantage of MATLAB’s and VRML’s strongpoints.…”
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Research and Application on Drive Tracking and Testing System for High-speed EMUs by 邓学寿, 肖石

“…Testing system was studied and developed which could be used for real-time collection of parameters including electric, temperature, and ventilation of each critical component on EMUs tracking drive unit. …”
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A Flexible Constrained ICA Approach for Multisubject fMRI Analysis by Hanlu Yang, Trung Vu, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali

“…We evaluate the proposed methods using both synthetic and real fMRI data. By applying the proposed methods to a resting-state fMRI dataset including 179 subjects, both algorithms successfully reveal significant group differences in functional network connectivity between healthy controls and schizophrenia patients. …”
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