Lacrimal Outflow Mechanisms and the Role of Scintigraphy: Current Trends by Efstathios Detorakis, Athanassios Zissimopoulos, Konstantinos Ioannakis, Vassilios Kozobolis

“…On the other hand, lacrimal scintigraphy mimicks "physiological" lacrimal outflow, being performed under pressure gradients present in everyday life. This is why it is considered more suitable for the study of functional epiphora. …”
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Classification of Nitrogen-Efficient Wheat Varieties Based on UAV Hyperspectral Remote Sensing by Yumeng Li, Chunying Wang, Junke Zhu, Qinglong Wang, Ping Liu

“…Furthermore, the SVM-XGBoost method integrated the extracted feature bands with the support vectors and decision function outputs from the preliminary SVM classification. …”
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A new neurodynamic model with Adam optimization method for solving generalized eigenvalue problem by Ebrahim Ganjalipour, Khadijeh Nemati, Amir Hosein Refahi Sheikhani, Hashem Saberi Najafi

“…In this paper we proposed a new neurodynamic model with recurrent learning process for solving ill-condition Generalized eigenvalue problem (GEP) Ax = lambda Bx. our method is based on recurrent neural networks with customized energy function for finding smallest (largest) or all eigenpairs. …”
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Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise. by Johannes Burge, Priyank Jaini

“…Here, we first contribute two technical advances that significantly reduce AMA's compute time: we derive gradients of cost functions for which two popular estimators are appropriate, and we implement a stochastic gradient descent (AMA-SGD) routine for filter learning. …”
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A Simple Benchmark Problem for the Numerical Methods of the Cahn–Hilliard Equation by Yibao Li, Chaeyoung Lee, Jian Wang, Sungha Yoon, Jintae Park, Junseok Kim

“…For the benchmark problem, we consider a cosine function as the initial condition. The periodic sinusoidal profile satisfies both the homogeneous and periodic boundary conditions. …”
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Conditional Generation of Building Bubble Diagrams Based on Stochastic Differential Equations by Zhiwen Wei, Joonki Lee, Hyeongmo Gu, Seungyeon Choo, Jaeil Kim

“…Since the reverse SDE relies on the gradient of the data distribution (i.e., the score function), we employ a neural network to approximate these gradients. …”
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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…Iterative optimization algorithms depend on access to information about the objective function. In a differentiable programming framework, this information, such as gradients, can be automatically derived from the computational graph. …”
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Septal alcohol ablation in patients with hypertrophic cardiomyopathy and left ventricular outflow tract obstruction by Mariia S. Nozdriakova, Dmitrii A. Zalyubovsky, Dmitriy S. Maznev, Dmitrii S. Evdokimov, Aleksei S. Sergeev, Eugene A. Shloydo

“…A statistically significant improvement in New York Heart Association functional class was observed — from class III–IV to class I–II (p=0.0009). …”
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Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

“…When predicting the ANN, three methods of learning were used: 1) the Levenberg-Marquardt algorithm-network training stops when the generalization ceases to improve, which is shown by the increase in the mean square error of the output value; 2) Bayes regularization method - network training is stopped in accordance with the minimization of adaptive weights; 3) the method of scaled conjugate gradients, which is used to find the local extremum of a function on the basis of information about its values and gradient. …”
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Gas Exchange and Mechanical Properties of the Lung in Miners with Severe Concomitant Injury by V. V. Moroz, Yu. A. Churlyaev, V. N Kiselev, P. G Sitnikov, L. Yu. Redkokasha

“…More significant impairments of pulmonary gas exchange and mechanical properties are seen in the miners due to the background changes in external respiratory function in the development of respiratory function after severe concomitant traumatic lesions than in the victims without underground service length, which causes an increase in the duration of respiratory support and intensive care.…”
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A probabilistic approach for multiaxial fatigue criteria by M. Muñiz Calvente, S. Blasón, A. Fernández Canteli, A. de Jesús, J. Correia

“…Nevertheless, the random orientation of the predominant defect evidences the possibility of failure being initiated as a function of the predominant defect presence without requiring, necessarily, maximum values of the damage parameter, which emphasizes the need of introducing probabilistic concepts into the failure prediction analysis. …”
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Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

“…First, to improve network stability and segmentation accuracy while reducing the likelihood of problems such as information loss and gradient explosion, we proposed the global GAN (GGAN) by optimizing the generator and loss function of GAN. …”
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Distributed Optimal Power and Rate Control in Wireless Sensor Networks by Meiqin Tang, Jianyong Bai, Jing Li, Yalin Xin

“…This paper proposes a power and rate control model based on the network utility maximization (NUM) framework, where a weighting factor is used to reflect the influence degree of the sending power and transmission rate to the utility function. In real networks, nodes interfere with each other in the procedure of transmitting signal, which may lead to signal transmission failure and may negatively have impacts on networks throughput. …”
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A Formal Approach to Optimally Configure a Fully Connected Multilayer Hybrid Neural Network by Goutam Chakraborty, Vadim Azhmyakov, Luz Adriana Guzman Trujillo

“…Concretely, we consider the generalized reduced-gradient algorithm in the framework of the auxiliary switched OCP.…”
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Structural Optimization of Logistics Distribution System Based on Characteristic State Space by Yongyan Bao, Delun Wang, Yuan Sun, Hao Zheng

“…According to the nature of the characteristic state space, the optimization problem of the logistics distribution system is transformed into a critical path-planning problem, the gradient calculation of the objective function is solved, and an improved genetic algorithm is proposed. …”
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Determining parameters of surface defects in the base metal of pipelines using results of complex diagnostics by N.V. Krysko, S.V. Skrynnikov, N.A. Shchipakov, D.M. Kozlov, A.G. Kusyy

“…Finally, the models based on gradient boosting are found to be optimal for all target variables. …”
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A fluence map optimization in IMRT for head and neck cancer based on trapezoidal fuzzy numbers* by ام البنین بزرگ, علیرضا فخارزاده جهرمی, علی دلاور خلفی

“…In this study, optimal treatment planning was described as a solution of an optimization problem using a quadratic objective function, where the prescribed target dose is a trapezoidal fuzzy number. …”
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Critical Factors in the Performance and Cost of Two-Dimensional Gene Scanning: RB1 as a Model by R.K. Dhanda, N.J. van Orsouw, I. Sigalas, C. Eng, J. Vijg

“…An overall picture of TDGS cost-performance, as compared to direct sequencing, is provided as a function of the number of target fragments.…”
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Fault Diagnosis Analysis of Variable Working Condition Gearbox based on DWAE and GRUNN Combination Model by Chuanhui Liu, Xiaojing Chen, Xiaoxiao Hou, Qiang Zhu, Yong Dong

“…The results show that the six fault states of gears can be separated effectively when the model is used to identify gear faults， so as to meet the optimization function of gear state clustering. This model can extract the robust characteristic parameters of DWAE， and it can also use GRUNN to eliminate the gradient. …”
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Advances in Unsteady Boundary Layer Transition Research, Part I: Theory and Modeling by M. T. Schobeiri, L. Wright

“…A new unsteady boundary layer transition model was developed based on a universal unsteady intermittency function. It accounts for the effects of periodic unsteady wake flow on the boundary layer transition. …”
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