PSO-Based Robust Control of SISO Systems with Application to a Hydraulic Inverted Pendulum by Michael G. Skarpetis, Nikolaos D. Kouvakas, Fotis N. Koumboulis, Marios Tsoukalas

“…The algorithmic approach aims to satisfy two robust control requirements for single input single output (SISO) linear systems with nonlinear uncertain structure. …”
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COMPARISON OF CRUSTAL DEFORMATION RATES ESTIMATED FROM SEISMIC AND GPS DATA ON THE BISHKEK GEODYNAMIC POLYGON by N. A. Sycheva, A. N. Mansurov

“…In the entire modern structure of Tien Shan lengthwise zones of shearing (with both right- and left-lateral strike-slip faults) are observed, thus Tien Shancan be considered as a transpression zone. …”
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Prediction of Lightweight AIS-Based Ship Trajectories with Spline Interpolation by Jiantao HU, Tianjiao LI, Hui LIU, Shuxin LI, Xu CHENG

“…Spline interpolation was used to fill in the missing AIS data, and a lightweight linear layer structure was introduced to reduce the complexity of the deep learning model. …”
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Sensing-actuating integrated asymmetric multilayer hydrogel muscle for soft robotics by Yexi Zhou, Yu Zhao, Dazhe Zhao, Xiao Guan, Kaijun Zhang, Yucong Pi, Junwen Zhong

“…The actuating layer, made of p(NIPAm-HEMA), features an open pore structure, enabling it to achieve 58% volume shrinkage in just 8 s. …”
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Bearing fault diagnosis for variable operating conditions based on KAN convolution and dual branch fusion attention by Qibing Wang, Chuanjie Yin, Kun She, Qinfeng Tong, Guoxiong Lu, Hongbing Zhang, Jiawei Lu

“…Abstract This paper proposes a bearing fault diagnosis method based on Kolmogorov–Arnold Convolutional Network: Adaptive Context-aware Graph Channel Attention with Squeeze-and-Excitation Networks (KANConv-ACGCA-SENet). Firstly, a new structure of KANs is applied to Convolutional Neural Networks (CNN) for replacing traditional linear convolutional kernels. …”
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Dynamika Powłok Lepkoplastycznych by T. Wierzbicki

“…The method of linearization of the constitutive equations based upon the non-associated flow law makes it possible to determine the time-dependent profile of the shell deflection and to establish the final shape of the deformed structure. …”
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Unveiling the antiviral inhibitory activity of ebselen and ebsulfur derivatives on SARS-CoV-2 using machine learning-based QSAR, LB-PaCS-MD, and experimental assay by Silpsiri Sinsulpsiri, Yuji Nishii, Qing-Feng Xu-Xu, Masahiro Miura, Patcharin Wilasluck, Kanokwan Salamteh, Peerapon Deetanya, Kittikhun Wangkanont, Aphinya Suroengrit, Siwaporn Boonyasuppayakorn, Lian Duan, Ryuhei Harada, Kowit Hengphasatporn, Yasuteru Shigeta, Liyi Shi, Phornphimon Maitarad, Thanyada Rungrotmongkol

“…Abstract Ebsulfur and ebselen derivatives that were proven to be potent inhibitors against the main protease (MPro) of SARS-CoV-2 which is an essential enzyme for viral replication were chosen to study the quantitative structure–activity relationship (QSAR) analysis using a classical multiple linear regression (MLR) and a machine learning approach of random forest (RF) and artificial neural network (ANN) in order to find the relationship between molecular structural properties and biological inhibitory activities. …”
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A Conformal Transmissive Metasurface with Dual‐Band Dual‐Circularly Polarized Conversion and Low Scattering by Zhihao Li, Sijia Li, Chengyuan He, Yuhao Wu, Liqiu Hu, Zhiyun Zhang, Tong Li, Huanhuan Yang

“…Abstract Generally, the existing metasurfaces are periodically or non‐periodically planar micro‐structures, which hardly satisfy the practical applications such as stealth aircraft, carrier and so on. …”
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Advanced Self-Powered Sensor for Carbon Dioxide Monitoring Utilizing Surface Acoustic Wave (SAW) Technology by Hicham Mastouri, Mohammed Remaidi, Amine Ennawaoui, Meryiem Derraz, Chouaib Ennawaoui

“…The sensor’s autonomy is ensured by a piezoelectric energy harvester composed of a cantilever beam structure with an attached seismic mass, where mechanical vibrations induce stress in a piezoelectric layer (PZT-5H or PVDF), generating electrical energy via the direct piezoelectric effect. …”
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A Tunable Z-Shaped Channel Gradient Metamaterial for Enhanced Detection of Weak Acoustic Signals by Yulin Ren, Guodong Hao, Xinsa Zhao, Jianning Han

“…Furthermore, the structure exhibits flexible tunability in its profile. …”
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A NEW ASSORTMENT FOR THE SELECTION OF ROOT VEGETABLE, AND TECHNOLOGY MAINTENANCE by V. A. Stepanov, M. I. Fedorova, S. A. Vetrova, V. A. Zayachkovskyi, T. V. Zayachkovskaya, T. S. Vjurtts

“…Vegetable root plants are valuable, irreplaceable components of a rational food of the person. In the assortment structure of the vegetable market table roots occupy 24%. …”
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Parathyroid function and cardiovascular remodeling in arterial hypertension patients by B. G. Iskenderov, L. F. Burmistrova, T. V. Lokhina, G. N. Abramova, N. A. Timofeeva, T. M. Shibaeva

“…Aim. To investigate structure and function of left ventriculum (LV) and brachial artery (BA) in arterial hypertension (AH) patients, according to blood levels of parathyroid hormone (PTH).Material and methods. …”
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THE ROLE OF THE CONSTRUCTION INDUSTRY IN ECONOMIC GROWTH AND SUSTAINABLE DEVELOPMENT by CUCOS, Stela, TURCAN, Rina

“…Using a quantitative framework, the research assesses the contributions of construction activities to GDP formation in dynamics, including by country, sector-specific sustainable practices and activity structure. In this article such tools as linear regression, comparative analysis and cause-effect analysis are used in order to achieve the research aim. …”
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Effect of Ultrasonic Frequency on Thickener Performance by Gongcheng Li, Shulong Liu, Zengsheng Wen, Guolei Liu, Yu Cui, Yajian Shao

“…After freeze-drying treatment, the underflow samples are imaged using the scanning electron microscope (SEM); then, the structure of floc or aggregates in the SEM images is quantifiably analyzed using the software of Image J. …”
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Configuring adaptive PID-controllers of the automatic speed control system of the GTE by K. E. Chertilin, V. D. Ivchenko

“…Therefore, it is desirable to create an adaptive automatic control system with the structure and parameters of the control regulator that are purposefully changed to ensure the system adaptation, that is based on information about the properties of the object of regulation and external influences, to the changing operating conditions. …”
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A Markov Model of Non-Mutually Exclusive Cyber Threats and its Applications for Selecting an Optimal Set of Information Security Remedies by Adil A. Kassenov, Alexey A. Magazev, Valeriya F. Tsyrulnik

“…This modification leads to an extended Markov chain that has (at least qualitatively) the same structure as the original chain. This fact allowed to generalize the above analytical results for the expected value and dispersion of the lifetime to the case of non-mutually exclusive cyber threats. …”
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Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation. by Janis Keck, Caswell Barry, Christian F Doeller, Jürgen Jost

“…We analytically find that a symmetric learning rule results in a successor representation under a symmetrized version of the experienced transition structure. We then apply this rule to a two-layer neural network model loosely resembling hippocampal subfields CA3 - with a symmetric learning rule and recurrent weights - and CA1 - with an asymmetric learning rule and no recurrent weights. …”
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Blinking indexes dynamic attending during and after music listening by Schea Fissel Brannick, Arianna N. LaCroix

“…Abstract Music’s rhythmic and acoustic structure can shape how attention unfolds over time, but little is known about how music listening influences the temporal dynamics of attention. …”
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Ecology and distribution of the Amur Chebachok  Pseudorasbora parva (Temminck et Schlegel, 1846)  as a biologically invasive species in the delta and estuarine  coast of the river ... by A. V. Starsev, A. A. Korchunov, N. I. Rabazanov, R. N. Rabazanov

“…Dimensionmass indicators and other biological parameters of the species are given.  Conclusion. The linear structure of the local population of the Amur chebachok consists of different size groupings corresponding to certain ages. …”
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Determinants of Physical Activity Behaviors among People Aged 30 to 50 Years: An Application of the Trans-Theoretical Model by Somaye Jalali, Nasrin Roozbahani, Mohsen Shamsi

“…The data were collected by a valid and reliable questionnaire, which consisted of demographic information and questions related to the TTM structure. The data were analyzed by SPSS 22 software, using Pearson correlation coefficient and linear regression. …”
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