Optimum Equilibrium Passenger Flow Control Strategies with Delay Penalty Functions under Oversaturated Condition on Urban Rail Transit by Yonghao Yin, Dewei Li, Kai Zhao, Ruixia Yang

“…A numerical case is studied to analyze the sensitivity of the functions, and the best parameter relationship in different functions could be confirmed. …”
Get full text

RHEUMATOID ARTHRITIS IN RHEUMATOLOGICAL CARE OF RUSSIA: THE SEVERITY OF THE DISEASE IN A RUSSIAN PATIENT POPULATION: A CROSS-SECTIONAL EPIDEMIOLOGICAL STUDY (RAISER) by O M Folomeeva, E L Nasonov, I A Andrianova, E A Galushko, D V Goryachev, T V Dubinina, A P Zhornyak, O A Krichevskaya, Sh F Erdes, O M Folomeyeva, E L Nasonov, I A Andrianova, E A Galushko, D V Goryachev, T V Dubinina, A P Zhornyak, O A Krichevskaya, Sh F Erdes

“…The examined cohort of Russian patients with rheumatoid arthritis, which reflects experience in real clinical practice, is generally characterized by the severe course of the disease in both clinical and functional parameters.…”
Get full text

Thermal monitoring as a method for estimation of technical state of digital devices by Yu. N. Lavrich

“…We may note, that failure is an uncontrolled result of an irreversible degradation process, taking place in time and having appropriate time parameters, but it's not the critical act. Research of various structural and hierarchical levels of functional units of digital electronics show that temperature control can be used for automatic condition monitoring of such devices in real time. …”
Get full text

A Half-Discrete Hardy–Mulholland-Type Inequality Involving One Multiple Upper Limit Function and One Partial Sum by Bicheng Yang, Shanhe Wu, Jianquan Liao

“…In this paper, by using the techniques of real analysis, with the help of the Euler–Maclaurin summation formula, Abel’s summation by parts formula, and the differentiation mid-value theorem, we establish a half-discrete Hardy–Mulholland-type inequality involving one multiple upper limit function and one partial sum. …”
Get full text

Effects of intermittent theta burst stimulation on cognitive and swallowing function in patients with MCI and dysphagia risk: a randomized controlled trial by Jie Wang, Mengqing Zhang, Xiaomei Wei, Cheng Yang, Meng Dai, Zulin Dou, Yonghui Wang

“…Methods Thirty-six participants with MCI were randomly allocated to receive real (n = 18) or sham (n = 18) iTBS. Global cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), and executive function was evaluated with the Trail Making Test (TMT), Digital span test (DST) and Stroop color word test (SCWT). …”
Get full text

Revisión narrativa y desarrollo de un programa de intervención para la disminución de los efectos del Alzheimer a través de la práctica del Surf en Personas Mayores (Narrative rev... by Mateo Real Pérez, Cristina Robles Rodríguez, Jesús Gustavo Ponce González

Get full text

Dynamic activation and enhanced image contour features for object detection by Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang

“…At this stage mobile devices often have limited storage resources to deploy large object detection networks and need to meet real-time requirements. This paper proposes a lightweight and efficient object detection model based on YOLOv4, first using the lightweight network GhostNet to extract image features and reduce the number of parameters and computation of the backbone structure; then combining AFmodule and Meta-ACON activation function to enhance the feature extraction capability of the backbone network, which strengthen the mode’s ability to capture image spatial feature information; this paper also designs the RL-PAFPN feature fusion structure is with the Reslayer module to further improve the model’s ability to extract and fuse image features. …”
Get full text

Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties by Éva Kenyeres, Alex Kummer, János Abonyi

“…This paper introduces a methodology for handling different types of uncertainties during robust optimization. In real-world industrial optimization problems, many types of uncertainties emerge, e.g., inaccurate setting of control variables, and the parameters of the system model are usually not known precisely. …”
Get full text

DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis by Zeeshan Ahmad, Shudi Bao, Meng Chen

“…We trained two versions of the model: DPN-GAN small (38.67 M parameters) and DPN-GAN large (124M parameters). For evaluation, we use five different datasets, covering both speech synthesis and music generation tasks, to demonstrate the efficiency of the DPN-GAN. …”
Get full text

The results of two-stage optico-functional rehabilitation of patients with refractive disorders and the risk of postoperative asthenopic syndrome after FemtoLASIK by I. A. Mushkova, M. L. Mitronina, T. A. Kornyushina, N. V. Maychuk, L. T. Shamsetdinova

Get full text

Relationship between the expression level of microRNA and the features of clinical course of the gallbladder and Оddi's sphincter functional disorders in children by O. Ye. Abaturov, V. L. Babуch

“…The aim of the work is to establish the relationship between the expression levels of microRNA-378f, microRNA-4311, microRNA-4714-3p and anamnestic, clinical and paraclinical parameters of functional disorders of the gallbladder and Oddi's sphincter (FD GB and OS) in children. …”
Get full text

Mitochondrial respiratory chain and Krebs cycle enzyme function in human donor livers subjected to end-ischaemic hypothermic machine perfusion. by Hamid Abudhaise, Jan-Willem Taanman, Peter DeMuylder, Barry Fuller, Brian R Davidson

“…The oxygen delivery efficiency was assessed in additional 6 livers using real-time measurements of perfusate and parenchymal oxygen.…”
Get full text

High-Accuracy Iris Center Localization Using Mediapipe Keypoints and Xception-Based Deep Regression by Wattanapong Kurdthongmee, Arsanchai Sukkuea, Korakot Suwannarat, Piyadhida Kurdthongmee

“…Comprehensive testing was undertaken to refine critical parameters, such as the depth of the backbone layers, selection of optimizer, and resolution of input images, with training conducted over 200 epochs via the Huber loss function. …”
Get full text

Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature by LI Kun, LI Bin, ZHU Wenjing, ZHOU Qinglei

“…The twin network model based on convolutional neural network is used to generate function-level embedding vectors, in order to extract the features of different spatial hierarchies in different basic blocks and reduce the number of parameters in the neural network. …”
Get full text

Bivariate Power Lindley Models Based on Copula Functions Under Type-II Censored Samples With Applications in Industrial and Medical Data by Ehab M. Almetwally, Aisha Fayomi, Maha E. Qura

Get full text

IoT Services for Monitoring Food Supply Chains by Loucas Protopappas, Dimitrios Bechtsis, Nikolaos Tsotsolas

“…Moreover, the paper presents a pilot full-scale project from both functional and technological perspectives.…”
Get full text

Multi-Criteria Fuzzy Portfolio Optimization Considering Varying Levels of Investor Expectations by Ali Namaki, Saeid Shirkavand, Amirsina Jirofti

“…This customization is attributed to a parameter that determines the shape of the membership function in logistic functions, allowing the prioritization of different factors such as risk, short-term and long-term returns, liquidity, or dividend distribution for investors with varying levels of risk tolerance. …”
Get full text

Design and Development of Miniature Measuring Instrument for Parachute Cords Dynamic Load for Stepless Parachute Opening by Wei Liang, Xin Zhao, Pengpeng Wu, Yuxin Li, Shuai Lv

“…The experimental results show that the designed miniature measuring instrument has accurate data, strong stability, and good real-time performance, which meets the demand for real-time accurate measurement of miniature measuring instruments, and can provide reliable data for parachute cords parameter validation and stepless unfolding design.…”
Get full text

Adaptive control and state error prediction of flexible manipulators using radial basis function neural network and dynamic surface control method. by Yang Zhang, Liang Zhao

“…We have also developed an adaptive law that updates neural network weights and system parameters in real-time, ensuring the system's adaptability to dynamic changes. …”
Get full text

Elastic scattering of Lithium induced nuclear reactions by S. Madhu, Reddi Rani L., H.C. Manjunatha, N. Sowmya, H.S. Anushree, Krishnakanth E.

“…Elastic scattering cross-sections of 6,7Li-induced fusion reactions are function of the Coulomb-interaction parameter and center of mass energy. …”
Get full text