POI recommendation by deep neural matrix factorization integrated attention-aware meta-paths by Xiaoyan Li, Shenghua Xu, Hengxu Jin, Zhuolu Wang, Yu Ma, Xuan He

“…Subsequently, the internal embedding vectors of the users and POIs are extracted using feature embedding based on the user–POI interaction matrix. …”
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Orthostatic Hypotension: Definition, Pathophysiology, Classification, Prognostic Aspects, Diagnostics and Treatment by O. D. Ostroumova, M. S. Cherniaeva, M. M. Petrova, O. V. Golovina

“…The urgency of the problem of orthostatic hypotension (OH) has increased in recent years. …”
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Peer tutoring technology in the professional development of a specialist by A. I. Artyukhina, V. M. Chizhova, V. I. Chumakov, O. F. Velikanova, V. V. Velikanov

“…Mentoring should be referred specifically to pedagogical technologies, since its distinctive feature is the integration of didactic and educational components. …”
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Basics of Forming the Indicators of Consolidated Segmental Statements of Integrated Agricultural Enterprises by ALEXANDRA V. Glushchenko, EKATERINA P. Kucherova

“…In order to solve this problem the authors developed a method of forming the consolidated information by segments of activity, the special feature of which is a set of procedures involving four interrelated steps: 1) preparatory - defining reporting segments in accordance with the segmentation criteria, working out of uniform accounting policies for segmental reporting purposes, developing indicators and a format of segmented reporting; 2) basic - specification of indicators and formats of worksheets, transformational tables and forms of reporting, collecting the separate statements of the segments, transforming the separate reported information from the analytical forms of the segment participants, followed by elimination of intercompany turnover; 3) consolidating - formation of summary reports and correction tables, consolidated statements, data transfer from the consolidated statements to the forms of segmental reporting; 4) analytical - verification for compliance with the consistency principle and preparing notes to the consolidated segmented information. …”
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Advanced solar radiation prediction using combined satellite imagery and tabular data processing by Mohammed Attya, O. M. Abo-Seida, H. M. Abdulkader, Amgad M. Mohammed

“…Finally, we merge the two path and use feature selection to be as input for the LSTM for solar radiation predictions. …”
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Machine Learning-Based Damage Diagnosis in Floating Wind Turbines Using Vibration Signals: A Lab-Scale Study Under Different Wind Speeds and Directions by John S. Korolis, Dimitrios M. Bourdalos, John S. Sakellariou

“…This study investigates, for the first time, the complete (all stages) damage diagnosis problem by employing well-established ML SHM methods and conducting hundreds of experiments on a lab-scale FWT model operating under different wind speeds and directions, both in healthy and damaged states. …”
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Traction Calculation for Modular Energotechnological Unit Given Kinematic Mismatch of Driving Axles by A. V. Lavrov, V. А. Voronin, M. V. Sidorov, I. A. Pekhalskiy

“…One of the solutions to this problem might be the use of the unit technological part as an active coupling weight. …”
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Unravelling the molecular landscape of polycystic ovary syndrome (PCOS) and role of inflammation through transcriptomics analysis of human ovarian granulosa cells by Kanika Mahra, Vineet Singh, Jae-Ho Shin

“…Abstract Background Polycystic ovary syndrome (PCOS) is a common metabolic problem in women of reproductive age that can lead to infertility and other metabolic disorders. …”
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Verification of Psychodiagnostic Capabilities of Handwritten Texts by Віталій Бочелюк, Микита Панов, Валентина Зайцева

“…The research paper contains a critical analysis of the graphological approach to the study of handwritten texts. The problem statement is justified by a special way of the formation of domestic psychology, which has been isolated for a long time from world tendencies. …”
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High resolution weld semantic defect detection algorithm based on integrated double U structure by Xiaoyan Li, Yi Wei, Zhigang Lv, Peng Wang, Liangliang Li, Mengyu Sun, Chu Wang

“…Then, a multi-image hybrid stitching technology was proposed to reconstruct the long weld into a standard size of 1500 × 1500, which not only expanded the WSCR data set, but also effectively improved the data imbalance problem. In terms of model architecture, by improving U2Netp and UNet networks, MC-SPP module (multi-connection spatial pyramid pooling), RMAG module (residual multi-add gating recurrent unit), HDC-CBAM module (hybrid dilated convolution-convolutional block attention) and CCM module (cross-layer connection fusion) were integrated to form a cascade network with multi-level feature fusion capability. …”
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Retracted: Multi-Objective Optimization Algorithm and Preference Multi-Objective Decision-Making Based on Artificial Intelligence Biological Immune System by Juan Bao, Xiangyang Liu, Zhengtao Xiang, Gang Wei

“…In order to combine it with the characteristics of the VR image itself, a complementary feature extraction method combining filters and gray-level symbiosis probability is used. …”
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The role of M1/M2 macrophage polarization in the pathogenesis of obesity-related kidney disease and related pathologies by Periklis Dousdampanis, Ioanna Aggeletopoulou, Ioanna Aggeletopoulou, Athanasia Mouzaki

“…Obesity is a rapidly growing health problem worldwide, affecting both adults and children and increasing the risk of chronic diseases such as type 2 diabetes, hypertension and cardiovascular disease (CVD). …”
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ACTUAL PROBLEMATICS IN STUDIES OF CONTEMPORARY CHINESE LITERATURE by Vladimir V. Seligey

“…The aim of the present study is to highlight the current trends, approaches and concepts of comparative study of modern Chinese literature, as well as to determine the outlines of modern Chinese literature as an object of comparative research in the context of the problem of the synthesis of “his” and “alien” in poetry and semantics of works of contemporary Chinese writers. …”
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Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior by Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao

“…Moreover, since the dimension of the pseudo-Zernike moment is much lower than the original image feature, our model can also increase the computational efficiency. …”
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AWGE-ESPCA: An edge sparse PCA model based on adaptive noise elimination regularization and weighted gene network for Hermetia illucens genomic data analysis. by Rui Miao, Hao-Yang Yu, Bing-Jie Zhong, Hong-Xia Sun, Qiang Xia

“…Secondly, to the best of our knowledge, there are no Artificial Intelligence (AI) feature selection models designed specifically for Hermetia illucens genome. …”
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Experimental studies of the influence of elastic-dissipative parameters of engine mounting units on the dynamic characteristics of the “wing model – elastic pylon – engine” system... by Y. V. Petrov, M. V. Semakova, V. G. Ugreninov

“…A feature of modern heavy transport aircraft is their layout with engines on elastic pylons under the wing, with the fuel tanks located in the wing consoles. …”
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Time arrow without past hypothesis: a toy model explanation by Pablo Arrighi, Gilles Dowek, Amélia Durbec

“…This apparent contradiction is known as the ‘arrow of time problem’. Its current resolution states that the future is the direction of increasing entropy. …”
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Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source by Qiqi Zheng, Meng Li, Bangyu Wu

“…Machine learning-based FWI could plausibly circumvent the long-standing cycle-skipping problem of traditional model-driven methods. The physics-guided self-supervised FWI is appealing in that it avoids having to make tedious efforts in terms of label generation for supervised methods. …”
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“I thought if my parents got involved, then they'd make me get better”: emerging adults’ experiences of support from family and friends during anorexia nervosa by Rachel Potterton, Gary Brown, Ulrike Schmidt

“…Interpersonal relationships have long featured in theories of eating disorder maintenance and recovery. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…Then, an efficient deep neural network mapping algorithm is designed and implemented for the microprocessing architecture and software programming framework of this edge processor, and a layout scheme is proposed to place the input feature maps outside the kernel DDR and the reordered convolutional kernel matrices inside the kernel storage body and to design corresponding efficient vectorization algorithms for the multidimensional matrix convolution computation, multidimensional pooling computation, local linear normalization, etc., which exist in the deep convolutional neural network model. …”
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