Prevalence of Dental Fluorosis among 6-18-Year-Olds in Vidarbha, Maharashtra, and Its Association with Geological and Geochemical Fluoride Levels: A Cross-Sectional Study by Shilpa T Hajare, Yamini Pusdekar, Ajeet V Saoji, Sachin Khatri, Ravi Naitam

“… Background: Endemic Fluorosis is a longstanding public health problem caused by excess fluoride intake through drinking water or food products grown in soil with high fluoride content. …”
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“THE HANDMAID’S TALE” BY MARGARET ATWOOD AS A POSTMODERN NOVEL: DYSTOPIAN GENRE TRANSGRESSION IN POSTMODERN ERA by Anna A. Stepanova, Inna I. Zhukovych

“…In the poetics of the novel, researchers’ interest in the problems of intertextuality, the specifics of composition, etc., has never ceased. …”
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Application of Complex Fuzzy Relational Compositions to Medical Diagnosis by Muhammad Gulzar, Samina Ashraf, Etienne E. Kerre

“…The capability of complex fuzzy sets plays a valuable role in resolving many real-life problems. In this paper, we present the compositions of complex fuzzy relations by using the idea of implication operators and max-product compositions of complex fuzzy relations and illustrate these compositions with concrete examples. …”
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Diskulakization and forced relocation of kulaks (on the example of The Kabardino-Balkar autonomous region) by Alim I. Tetuev

“…It is concluded that political repressions were caused by the establishment of an authoritarian regime of power in the center and locally and were used to solve political, socio-economic problems.…”
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Marfan Syndrome: A Case Report by Rajendran Ganesh, Rajendran Vijayakumar, Haridoss Selvakumar

“…A case report of Marfan syndrome has been reported with oral features. The dental problems of the child were treated under general anesthesia and a one-month review showed intact stainless steel crowns' restorations and no signs of secondary caries.…”
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Deep Learning in Visual Computing and Signal Processing by Danfeng Xie, Lei Zhang, Li Bai

“…Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively investigated deep learning algorithms for solving challenging problems in many areas such as image classification, speech recognition, signal processing, and natural language processing. …”
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Glaciation of northern slopes of Turkestan and Alai Ranges and its present-day dynamics by R. A. Usubaliev, A. S. Dudashvili, O. N. Elemanov

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Moving Objects Detection Based on Frequency Domain by jalal hameed awad, Balsam Dhyia Majeed

“…Experiments and statistical features (Entropy, Standard deviation) proved that these transformations can stand to overcome such problems in an elegant way.…”
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Detecting and Identifying Industrial Gases by a Method Based on Olfactory Machine at Different Concentrations by Yunlong Sun, Dehan Luo, Hui Li, Chuchu Zhu, Ou Xu, Hamid Gholam Hosseini

“…In this work, we measure four typical industrial gases including CO2, CH4, NH3, and volatile organic compounds (VOCs) based on electronic nose (EN) at different concentrations. To solve the problem of effective classification and identification of different industrial gases, we propose an algorithm based on the selective local linear embedding (SLLE) to reduce the dimensionality and extract the features of high-dimensional data. …”
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Research on Design of Intelligent Background Differential Model for Training Target Monitoring by Ya Liu, Fusheng Jiang, Yuhui Wang, Lu OuYang, Bo Gao, Jinling Jiang, Bo Zhang

“…In order to retain the difference of each channel, the information of the foreground images of the three channels is fused to obtain a complete foreground image. The feature of the edge detection is not affected by light; the foreground image is corrected. …”
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Drug repositioning framework using embedding drug-protein-disease similarities with graph convolution network and ensemble learning by Hanaa Torkey, Heba El-Behery, Abdel-Fattah Atti, Nawal El-Fishawy

“…The approach proposed in this paper uses a hierarchical network embedding technique and a graph autoencoder (GAE) scheme to solve this problem. The approach extracts embedding feature vectors of drugs and targets from a heterogeneous multi-source network to predict unknown drug-target interactions (DTIs). …”
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Land use classification through fusion of remote sensing images and multi-source data by Guo Zhiqian, Ren Yushui, Li Xin, Ma Kang, Qian Shujun

“…Through the fusion of multi-source feature data, the spatial information of remote sensing image is combined with the attribute information of other data sources to extract spectral and shape features and complete the classification of land use. …”
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Intelligent Fault Diagnosis of Inter-Turn Short Circuit Faults in PMSMs for Agricultural Machinery Based on Data Fusion and Bayesian Optimization by Mingsheng Wang, Wuxuan Lai, Hong Zhang, Yang Liu, Qiang Song

“…Secondly, applying a traditional CNN to the data fusion of different signals is challenging. To solve this problem, a multi-stream high-level feature fusion algorithm based on a channel attention mechanism is proposed. …”
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Low-Illumination Parking Scenario Detection Based on Image Adaptive Enhancement by Xixi Xu, Meiqi Zhang, Hao Tang, Weiye Xu, Bowen Sun, Zhu’an Zheng

“…Aiming at the problem of easily missed and misdetected parking spaces and obstacles in the automatic parking perception task under low-illumination conditions, this paper proposes a low-illumination parking space and obstacle detection algorithm based on image adaptive enhancement. …”
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A Novel Hierarchical Multimodal Recommender With Enhanced Global Collaborative Signals by Peng Yi, Lu Chen, Zhaoxian Li, Cheng Yang

“…Multimodal recommender systems leverage auxiliary item features, such as images and descriptions, to alleviate the data sparsity problem and facilitate the preference modeling process. …”
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Cumulative confidence-driven task offloading for object detection in maritime Internet of Things by Yanglong Sun, Wenqian Luo, Weijian Xu, Qiang Mei, Haixia Peng, Linhai Wei

“…However, the dynamic marine network and environmental interference in feature extraction adversely affect detection accuracy and cause delay. …”
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Can machine learning distinguish between elite and non-elite rowers? by Orten Kristine Fjellkårstad, Helgesen Sander Elias Magnussen, Chen Bihui, Baselizadeh Adel, Torresen Jim, Herrebrøden Henrik

“…The MLP model achieved an accuracy of 100% when using all input features, indicating that the problem is suitable as a machine learning task. …”
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Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition by Parampuneet Thind, Vaibhav Katturu, Teryn Cha, Sung-Hyuk Cha

“…Mean and median are pervasively used as features to represent patterns, but mode is not because of its weakness. …”
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On the calculus of positively constructed formulas for authomated theorem proving by A. V. Davydov, A. A. Larionov, E. A. Cherkashin

“…Problems of effective implementation of JF as a program system for automated theorem proving are considered.…”
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Intellectual Property Management: European Universities Experience by A. Yu. Kalinin, Yu. V. Nechepurenko

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