Early real-world outcomes of intravitreal aflibercept 8 mg in treatment-Naïve neovascular AMD: AI-assisted fluid volume analysis by Jennifer Cattaneo, Eva C. De Oliveira Figueiredo, Andrea Montesel, Sandra Vermeirsch, Chiara M. Eandi

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Online Three-Dimensional Fuzzy Multi-Output Support Vector Regression Learning Modeling for Complex Distributed Parameter Systems by Gang Zhou, Xianxia Zhang, Hanyu Yuan, Bing Wang

“…Furthermore, a stochastic gradient descent algorithm has been implemented for real-time updating of learning parameters and bias terms. …”
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Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models by Zhentao Tang, Kaiyu Wang, Lan Zhuang, Mingxin Zhu, Yongxuan Yao, Huiqin Chen, Jing Li, Xiaoxiang Wu, Shangce Gao

“…On 22 IEEE CEC2011 real-world optimization problems, HGMRFO obtained the most optimal solutions. …”
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An Integrated Spatial-Spectral Denoising Framework for Robust Electrically Evoked Compound Action Potential Enhancement and Auditory Parameter Estimation by Fan-Jie Kung

“…The electrically evoked compound action potential (ECAP) is a crucial physiological signal used by clinicians to evaluate auditory nerve functionality. Clean ECAP recordings help to accurately estimate auditory neural activity patterns and ECAP magnitudes, particularly through the panoramic ECAP (PECAP) framework. …”
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A New Statistical Parameter for Determining Joint Roughness Coefficient (JRC) considering the Shear Direction and Contribution of Different Protrusions by Jiu-yang Huan, Zhi-qiang Zhang, Ming-ming He, Ning Li

“…In the current statistical parameter methods for the estimation of joint roughness, the size of different protrusions on the joint surface was completely ignored, which did not correspond to the real failure mechanism of rock joint during the shear process. …”
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A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models by Zhentao Tang, Kaiyu Wang, Mingxin Zhu, Yongxuan Yao, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao

“…In the experimental section, we compare DWFO with nine state-of-the-art algorithms on the IEEE Congress on Evolutionary Computation 2017 (CEC2017) benchmark functions and the CEC2011 real-world optimization problems. …”
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The Gumbel- Pareto Distribution: Theory and Applications by Saad et al.

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Numerical Reduced Variable Optimization Methods via Implicit Functional Dependence with Applications by Christopher Gunaseelan Jesudason

“…For (ii), an exact theory is developed whereby the solution of the optimized function of an independent variation of all parameters coincides with that due to single parameter optimization of an auxiliary function. …”
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A Generalized Version of Polynomial Convex Functions and Some Interesting Inequalities with Applications by Xiaogang Liu, Kiran Naseem Aslam, Muhammad Shoaib Saleem, Shuili Ren

“…At the end, some application to special means of real numbers are also given. It can be observed from the remarks given in this paper that several exiting results of ligature can be obtained immediacy from our results by taking suitable involved parameters.…”
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Stochastic black-box optimization using multi-fidelity score function estimator by Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz

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Structural and functional correlations in the pre-perimetric and the initial stages of glaucomatous optic neuropathy by M. O. Kirillova, A. N. Zhuravleva, M. V. Zueva, I. V. Tsapenko

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Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series by Liyun Su, Chenlong Li

“…A new methodology, which combines nonparametric method based on local functional coefficient autoregressive (LFAR) form with chaos theory and regional method, is proposed for multistep prediction of chaotic time series. …”
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Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems by Israa Hadi, Iden H. Al Kanani

“…     Identifying the optimum solution that satisfies the restrictions and maximizes or minimizes the objective function is the aim of fully fuzzy fractional programming (FFFLP). …”
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Relation between executive functioning, sensory processing, and motor performance in children with autism by Rehab H Alsaedi

“…Results The structural equation modeling results revealed there to be significant structural pathways leading from the latent sensory–motor domains to the latent executive functions, which held true for both laboratory and real-world functioning, indicating that sensory–motor issues contribute to more severe disturbances in executive functions. …”
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Three-dimensional combined inversion method of the MT and Network-MT response functions by Yoshiya Usui, Makoto Uyeshima

“…However, the Network-MT response function has a disadvantage in its low resolution to shallow structures compared with the conventional MT response function because of the lack of high-frequency data. …”
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Machining Process Optimization Using a Model Based on Criterial Functional Dependence by Peter Pavol Monka, Katarina Monkova, Ondrej Bilek, Martin Reznicek

“…This research deals with the optimization of the machining process using a model based on criterial functional dependence hypothesis. The basis of this hypothesis is the assertion that for each production process of a given product with many input parameters, at given known requirements and conditions, it is possible to determine the minimum/maximum local extremum, that is, to find the most suitable conditions under which the criterion is achieved. …”
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Gonarthrosis related changes in quadriceps muscle architecture and physical function outcomes in women by Rukiye Çiftçi, Ahmet Kurtoğlu, Özgür Eken, Monira I. Aldhahi

“…The relationship between functional tests and right and left quadriceps muscle architecture parameters was also analyzed. …”
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Predictors of Pulmonary Oxygenizing Function during Uncomplicated Operations under Extracorporeal Circulation by A. A. Romanov

“…Seventy-eight patients aged 37 to 73 years in whom myocardial revascularization was made during uncomplicated operations under EC were examined. The parameters of artificial ventilation (AV) and lung biomechanics were recorded in real time on a KION 6.h. or a Servo-i monitoring system. …”
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Real-Time Monitoring of Cardiac Output Using Non-Invasive Impedance Cardiography in Dogs: A Pilot Study on Heartworm Extraction and Gastric Decompression by Daesik Kim, Seol-Gi Park, Min Su Kim

“…Background: Gastric dilatation (GD) and heartworm disease (HW) can significantly impact cardiovascular function, necessitating timely intervention. This study evaluated hemodynamic changes in these conditions using impedance cardiography (ICG), a non-invasive technique for real-time monitoring. …”
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Bayesian estimation under different loss functions for the case of inverse Rayleigh distribution

“…In this study, the best parameter estimator for the scale parameter (θ) of the inverse Rayleigh distribution was determined based on a comparison of the maximum likelihood estimator (MLE) method, the Bayesian generalized squared error loss function (SELF), the Bayesian linear exponential loss function (LINEX LF), and the Bayesian entropy loss function (ELF). …”
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