A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System by Yingying Duan, Haina Rong, Dunwu Qi, Luis Valencia-Cabrera, Gexiang Zhang, Mario J. Pérez-Jiménez

“…Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. …”
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A study on early diagnosis for fracture non-union prediction using deep learning and bone morphometric parameters by Hui Yu, Qiyue Mu, Zhi Wang, Yu Guo, Jing Zhao, Guangpu Wang, Qingsong Wang, Xianghong Meng, Xiaoman Dong, Shuo Wang, Jinglai Sun

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A conceptual and computational framework for modelling and understanding the non-equilibrium gene regulatory networks of mouse embryonic stem cells. by Richard B Greaves, Sabine Dietmann, Austin Smith, Susan Stepney, Julianne D Halley

“…Our simulation demonstrates three key features: (i) the existence of a critical value of the branching process parameter, dependent on the details of the cistrome in question; (ii) the ability of an active cistrome to "ignite" an otherwise fully dissipated cistrome, and drive it to criticality; (iii) how coupling cistromes together can reduce their critical branching parameter values needed to drive them to criticality.…”
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Initially reactive and concentrated generalized fluid wavy flow with the applications of disorder theory and magnetic field: A computational study by Saleem Javed, Latif Ahmad

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Computational fluid dynamics analysis and machine learning study of heat transfer in solar air heaters with distinct ribs configuration by Eid S. Alatawi

“…This research pioneers SAH optimization by uniquely integrating Computational Fluid Dynamics (CFD) with machine learning (ML) to analyze and predict the performance of 15 SAH designs featuring distinct curved rib configurations. …”
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Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…Abstract The rate of penetration (ROP) is a critical parameter for optimizing oil well drilling and the overall cost of drilling operations. …”
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EdgeSugarcane: a lightweight high-precision method for real-time sugarcane node detection in edge computing environments by Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Lijiao Wei, Lijiao Wei, Kangmin Lin, Weihua Huang, Shuo Wang, Dongjie Du, Tao Wu

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A Process Decision-Making Method for Planar Machining of Box-Type Components by Zhongkun Shi, Meifa Huang, Zhemin Tang, Zecheng Hu, Weihao Hu

“…Currently, the selection of process parameters for box-type parts often relies on designers consulting manuals or on personal experience. …”
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Correlation Analysis Between 3D and Plane DAT Binding Parameters of 11C-CFT PET/CT and the Clinical Characteristics of Patients with Parkinson’s Disease by Xiaodong Wu, Ziyuan Li, Jing Gan, Feng Wei, Ping Wu, Sheng Liang, Yufei Ma, Lin Ding, Chuantao Zuo, Zhenguo Liu, Hui Wang, Yafu Yin

“…Clinical characteristics, including age, sex, and disease duration, as well as the modified Hoehn-Yahr (H-Y) scale, Unified Parkinson’s Disease Rating Scale (UPDRS) parts II and III (II-III), and Mini-Mental State Examination (MMSE) scores of PD patients during the corresponding time periods were collected. DAT binding parameters and their derived parameters based on plane and 3D images in the neostriatum were analyzed for consistency with plane and 3D parameters, and the correlation between DAT parameters and the clinical features of patients were assessed using SPSS software. …”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

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A clinical study of coronary computed tomographic angiography in the diagnostic performance, risk assessment and guidance of treatment for coronary heart disease by Haijun Li, Yanan Xie, Shujun Wang, Daiwei Wang

“…Objective This study aimed to evaluate the diagnostic performance, risk assessment, and treatment-guiding value of coronary computed tomographic angiography (CCTA) in patients with coronary heart disease (CHD).Methods The diagnostic value of CCTA for CHD was assessed by analyzing key parameters including sensitivity, specificity, accuracy, positive predictive value, and negative predictive value. …”
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Computational histology reveals that concomitant application of insect repellent with sunscreen impairs UV protection in an ex vivo human skin model by Sophie Charrasse, Titouan Poquillon, Charlotte Saint-Omer, Audrey Schunemann, Mylène Weill, Victor Racine, Abdel Aouacheria

“…Hematoxylin and eosin or hematoxylin-eosin saffron staining was performed to assess skin structure before morphometric parameter computation. Results We report the identification of a specific nuclear feature based on variation in texture information that can be used to assess skin tissue damage after oxidative stress or UV exposure. …”
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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…The inclusion of DEM-based auxiliary features and additional meteorological information improved the results. …”
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Dynamical Analysis of Nonlocalized Wave Solutions of 2+1-Dimensional CBS and RLW Equation with the Impact of Fractionality and Free Parameters by Nur Hasan Mahmud Shahen, null Foyjonnesa, Md. Rafiqul Islam, Ahmet Bekir, M.M. Rahman

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Experimental and theoretical investigation of the influence of tool paths and burnishing parameters on the quality of the burnished surface by magnetic assisted ball burnishing by Zsolt Kovács, Gábor Kónya, Balázs Markó, György Póka

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Pattern of changes in morpho-densitometric parameters of magnocellular neurons of the hypothalamic paraventricular nucleus under restraint stress of different duration by K. B. Romanova, O. V. Hancheva, Yu. M. Kolesnyk

“…Changes in the morphometric parameters of magnocellular neurons of the hypothalamic PVN in rats with long-term limitation of living space are characterized by time dependence and multidirectionality, which is related to the functional features of the neuron structural components (cytoplasm, nucleus and nucleoli). …”
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Computational Role of Polymer-Based Ternary Hybrid Nanofluid Between Convergent/Divergent Channels With Radiation and Stretchable/Shrinkable Wall Effects by Mohamed Kezzar, Amar Dib, Umair Khan, Ismail Tabet, Mohamed R. Sari, Syed Modassir Hussain

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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

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About revising the computational dynamic scheme of an unmanned aerial vehicle based on the results of ground-based modal test operations in the aeroelasticity problems by S. G. Parafes’

“…The features of revising the computational dynamic scheme, while studying the flutter and aeroelastic stability of the ACS-fitted UAV, are presented. …”
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