Preperimetric glaucoma by N. A. Bakunina, E. V. Openkova, I. V. Shaposhnikova, L. M. Gabdrakhmanov, A. V. Kuroyedov, А. V. Seleznev, H. Y. Zargaryan

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Security Design for Data Distribution Service Based on Secure Onboard Communication by Fengjun Zhou, Gang Wang, Qun Wang, Yuxing Wang, Jun Wang

“…The core innovations are as follows: 1) Dynamic Security Policy Adaptation across Protocol Layers: By extending the Real-Time Publish-Subscribe protocol of DDS, SecOC security fields (Freshness Value + Message Authentication Code) are embedded into the message structure, and a dynamic mapping mechanism is established between the topic-level Quality of Service policies and the Protocol Data Unit-level security parameters is established. …”
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Bayesian Estimation and Prediction of Inverse Power Lomax Model Under Censored Data With Applications by Samah M. Ahmed, M. I. Khan, Abdelfattah Mustafa

“…The proposed inferential procedures are then validated using a numerical study based on a real dataset.…”
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Application of Feedforward Artificial Neural Networks to Predict the Hydraulic State of a Water Distribution Network by Leandro Evangelista, Débora Móller, Bruno Brentan, Gustavo Meirelles

“…These parameters were chosen because they are frequently used in objective functions, minimizing energy consumption and leakage volume, as well in operational restrictions. …”
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Intelligent liquid level controller by Pitolin Uladzimir, Dauhiala Dzmitry, Yanushkevich Viktar, Vershinin Aliaksandr, Maladzechkina Tatsiana

“…Using the example of an intelligent liquid level controller the development order of an effective controller with intelligence functions is considered in the present paper. Intelligence functions consist in presetting control parameters with elimination of uncertainties inherent in real objects and automatic control systems: sensor and actuator hysteresis, nonlinearity of the regulator’s characteristic and so on. …”
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Collapse Analyses of Pre- and Low-Code Italian RC Building Types by Vincenzo Manfredi

“…Incremental non-linear dynamic analyses have been performed along the two in-plane directions using a set of 20 real signals scaled up to collapse. The inter-storey drift ratio values at collapse have been analyzed to estimate the mean and dispersion values of the best-fitting distribution functions. …”
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Intelligent Prediction of Refrigerant Amounts Based on Internet of Things by Jincai Chang, Qiuling Pan, Zhihao Shen, Hao Qin

“…To predict the amount of refrigerant in refrigerators with the best performance, this study used refrigerator data collected in real time via the Internet of Things, which were screened to include only the effective parameters related to the compressor and refrigeration properties (based on their practical significance and the research background) and cleaned by applying longitudinal dimensionality reduction and transverse dimensionality reduction. …”
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Neural Network Underlying Recovery from Disowned Bodily States Induced by the Rubber Hand Illusion by In-Seon Lee, Younbyoung Chae

“…We used functional magnetic resonance imaging to investigate how causal influences between brain regions during the rubber hand illusion (RHI) are modulated by tactile and visual stimuli. …”
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The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions by Mareike Ließ, Martin Hitziger, Bernd Huwe

“…Position specific density functions of the predicted soil parameters were then used to display prediction uncertainty. …”
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Hypotensive therapy effectiveness evaluation in primary open-angle glaucoma evidenced by pattern electroretinogram data by E. V. Tur, T. Yu. Kozhevnikova

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Asymptotic Synchronization for Caputo Fractional-Order Time-Delayed Cellar Neural Networks with Multiple Fuzzy Operators and Partial Uncertainties via Mixed Impulsive Feedback Cont... by Hongguang Fan, Chengbo Yi, Kaibo Shi, Xijie Chen

“…To construct Caputo fractional-order time-delayed cellar neural networks (FOTDCNNs) that characterize real environments, this article introduces partial uncertainties, fuzzy operators, and nonlinear activation functions into the network models. …”
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ARTIFICIAL NEURAL NETWORK FOR MODELS OF HUMAN OPERATOR by Martin Ruzek

“…The neurons are updating their parameters in a way that is similar to real biological processes. …”
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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…In particular, we evaluate the use of self-adaptive differential evolution variants to evolve a population of oblique decision trees encoded as real-valued vectors. Our proposal includes (1) an alternative initialization strategy that reduces redundant nodes and (2) a fitness function that penalizes excessive leaf nodes, promoting smaller and more accurate decision trees. …”
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Quality assessment of the preparation of reference materials of moist solid substances by S. V. Medvedevskikh, M. Yu. Medvedevskikh, M. P. Krasheninina

“…In this article considers the models of random parameter and random walk as alternative approaches for estimating the mean standard deviation associated with heterogeneity during both the evaluation of the metrological characteristics of reference materials, the quality control of samples prepared from moist solid substances.For the random parameter and random walk models, the behaviour of the basic statistical criteria is described, including the overall mean, standard deviation, standard deviation of the mean and function, obtained both for real experimental data and theoretical measurement results simulated according to the Monte Carlo method. …”
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Analysis, Estimation, and Practical Implementations of the Discrete Power Quasi-Xgamma Distribution by Muhammad Ahsan-ul-Haq, Muhammad N. S. Hussain, Ayesha Babar, Laila A. Al-Essa, Mohamed S. Eliwa

“…In this study, we introduce a new three-parameter discrete power quasi-Xgamma (DPQXg) distribution. …”
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Neutrosophic DUS Exponential Distribution by Megha C.M, Divya P.R, Sajesh T.A

“…Key statistical properties of NDUS-ED, including quantiles, moments, moment-generating functions, and order statistics, are derived under neutrosophic conditions. …”
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Feature Acquisition System of Protection and Control Equipment Based on IoT Agent by GAN Yunhua, ZHAO Lanying, ZOU Zhiyang, LI Linfeng

“…This paper proposes a feature acquisition system based on IoT agent for protection and control equipment in substations, addressing the limitations of monitoring methods and incomplete data caused by the integration of condition monitoring functions in such equipment. The system, which integrates protection and control equipment, data aggregation gateways, and health management backends, enables real-time monitoring of equipment operating parameters and state evaluation. …”
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Modéliser et comprendre les campagnes de la Somme romaine à l’aide des systèmes d’information géographique by Nicolas Revert

“…One of the functions of archaeological GIS is modelling, with the aim to propose a spatial hypothesis rather than raw data. …”
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Realization Method of Digital Filter in Pathological Assistant Diagnosis System by WANG Zi-xuan, XIE Yi-ning, HE Yong-jun

“…The pathology-assisted diagnosis system adopts the method of placing a filter on the slice to filter the light source and obtain the monochromatic parallel light, which is used to calculate the optical density parameter of the image to reflect the content of a certain substance in the slice.But the use of filter not only reduces the color contrast of the image, which interferes with the doctor’s follow-up diagnosis and increases the possibility of misdiagnosis, but also increases expenditure costs.In order to solve this problem, the CGAN model is trained to realize the conversion from unfiltered image to a filtered image, which is used to replace the hardware filter, and the trained model is called a digital filter.In order to improve the performance of the digital filter, a full-scale jump connection is added to the generator to improve the quality of the generated image, and the integral optical density constraint is added to the loss function to facilitate accurate measurement of the integrated optical density of the nucleus in the generated image.Experiments show that the digital filter can achieve the filtering effect of a hardware filter, and the generated image is close to the real filtered image in terms of visual effects.In the task of calculating the integral optical density of the cell nucleus, the generated image deviates 5.3% from the real filtered image with a mean value of 119, the performance is improved by 10.9%, 3.2%, and 6.1% compared with CycleGAN, pix2pix, and pix2pixHD methods.…”
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Semaglutide in MASLD Patients: Improved Survival and Liver Outcomes by Mohamad Suki, Johnny Amer, Yael Milgrom, Muhammad Massarwa, Wadi Hazou, Yariv Tiram, Ofer Perzon, Yousra Sharif, Joseph Sackran, Revital Alon, Nachum Emil Eliezer Lourie, Itamar Raz, Ashraf Imam, Abed Khalaileh, Rifaat Safadi

“…Assessed outcomes included survival, biochemical, hematologic, AFP, metabolic and cardiovascular parameters, advanced liver disease (ALD), synthetic function, and metabolic markers. …”
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