THE GRAVITY MODEL FORMALIZATION FOR THE INTERCITY PASSENGER’S CORRESPONDENCES PARAMETER’S ESTIMATION by C. V. Dolya

“…he paper considers a possibility to apply gravity models for calculation of intercity passenger transport corres- pondences which are implemented with the help of public transport. …”
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Formation of general professional competencies of future teachers in the context of digital transformation of education by Galina A. Ignatieva, Ekaterina Yu. Elizarova

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Organisational phenomena which influence communication and effectiveness by A. B. Boshoff

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Enhancing cross entropy with a linearly adaptive loss function for optimized classification performance by Jae Wan Shim

“…The proposed one has been evaluated on a ResNet-based model using the CIFAR-100 dataset. Preliminary results show that the proposed one consistently outperforms the standard cross entropy loss function in terms of classification accuracy. …”
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Retracted: Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis by Journal of Function Spaces

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Retracted: Mathematical Modeling of Static Data Attribute Encryption Based on Big Data Technology by Journal of Function Spaces

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Retracted: Exercise Recommendation Model Based on Cognitive Level and Educational Big Data Mining by Journal of Function Spaces

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The Relationship between Urban Functional Structure and Insomnia: An Exploratory Analysis in Beijing, China by Sirui Chen, Lijun Xing, Yu Liu, Jiwei Xu

“…The ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to quantify the global and local effects of urban functional categories on residents’ insomnia. …”
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Soil Bacteria in Archaeology: What Could Rank Abundance Functions Tell Us About Ancient Human Impacts on Microbial Communities? by J. Michael Köhler, Linda Ehrhardt, P. Mike Günther, Jialan Cao

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An Optimized Model for Identification of Cerebral Palsy Using Deep Learning by Md Anjar Ahsan, Hassan bin Mohammed, Abhilash Maroju, Nurhafizah Moziyana Mohd Yusop, Wan Su Emi Yusnita Wan Yusof, Najjah Salwa Abd Razak, Mohd Arif Dar

“…Cerebral palsy (CP), a neurological disorder that affects children and can occasionally result in cognitive problems as well as deficits in motor function can be caused by prenatal, perinatal, or postnatal factors. …”
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Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

“…To overcome these challenges, this paper proposes a Multi-Adaptive Functional Neural Network (Multi-AdaFNN), a novel method that integrates functional data analysis with deep learning techniques. …”
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Preoperative and intraoperative neuromonitoring and mapping techniques impact oncological and functional outcomes in supratentorial function-eloquent brain tumours: a systematic re... by Asfand Baig Mirza, Amisha Vastani, Rishabh Suvarna, Sami Rashed, Aws Al-Omari, Engelbert Mthunzi, Feras Fayez, Nicala Rampersad, Josephine Jung, Alba Díaz Baamonde, José Siado Mosquera, Ali Elhag, Francesco Marchi, Richard Gullan, Keyoumars Ashkan, Ranjeev Bhangoo, Francesco Vergani, Ana Mirallave-Pescador, José Pedro Lavrador

“…Summary: Background: Supratentorial function-eloquent brain tumour surgeries challenge the balance between maximal tumour resection and preservation of neurological function. …”
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FORMATION OF THE SUSTAINABILITY MODEL OF THE ELECTRIC POWER COMPLEX by A. A. Gibadullin, Yu. V. Yerygin

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SEDFMNet: A Simple and Efficient Unsupervised Functional Map for Shape Correspondence Based on Deconstruction by Haojun Xu, Qinsong Li, Ling Hu, Shengjun Liu, Haibo Wang, Xinru Liu

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Extraction of blurred infrared targets based on a manifold regularized multiple-kernel model by YANG Dao, FU Dong-mei

“…Specific to the problem of infrared target extraction with blurred edges,this article introduces an extraction method based on a manifold regularized multiple kernel semi-supervised classification model.Firstly,the maximum variance of inter-class(OTSU) method is used to compute the initial segmentation threshold,and the certain target and background areas and the uncertain blurred edge area are determined.Then,local space sets of pixels are constructed in each area,the multiple-kernel functions are used to map the grayscale mean and variance in local space,and the location information feature in local space is obtained by manifold regularization(MR).On the basis of features,a semi-supervised classification model is established to classify the local space sets of pixels in the blurred edge area.Finally,the optimal segmentation threshold is computed.Experiments with comparisons show that this method is efficient and less in time-consuming.…”
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Cumulative handgrip strength and longitudinal changes in cognitive function and daily functioning among people aged 50 years and older: evidence from two longitudinal cohort studie... by Bin Han, Ziqian Zeng, Ying Wen, Chu Chen, Daomei Cheng, Yachao Li, Ning Huang, Jia Ruan, Dan Zhao, Qingping Xue

“…Linear mixed regression models evaluated the association between cumulative handgrip strength and longitudinal changes in cognitive function and daily functioning. …”
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Deep neural network modeling attacks on arbiter-PUF-based designs by Huanwei Wang, Weining Hao, Yonghe Tang, Bing Zhu, Weiyu Dong, Wei Liu

Subjects: “…Physical unclonable functions…”
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Stochastic Model of Emotional Stress Development in the Educational Process by A. A. Solodov, E. A. Solodova, T. G. Trembach

“…The aim of the study is the development of mathematical models that describe the reaction of the individual to the occurrence of stresses of various nature, including those that appear during the implementation of the educational process. …”
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Hyperbolic Representation of the Richards Growth Model by Marcin Molski

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The world population development according to a dynamic extension of the Wicksellian production function by Robert W. Grubbström

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