Hearing problems in humans and mouse models with rare copy number variants associated with schizophrenia: a scoping review protocol [version 2; peer review: 2 approved, 1 approved... by Noushin Saadullah Khani, Maria Richards-Brown, Jennifer F Linden, Lauren Varney, Elvira Bramon, Stephen Murtough, Chen Lu, Daniele Panconesi, Marius Cotic, Rosemary Abidoph, Alvin Richards-Belle, Daisy Mills

“…Looking ahead, if hearing problems are a clinical feature in these groups (including humans and related mouse models), they may serve as useful genetic models for future mechanistic studies.…”
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EPIDEMIOLOGICAL FEATURES OF NON-ALCOHOLIC FATTY LIVER DISEASE IN NOVOSIBIRSK (SIBERIAN FEDERAL DISTRICT): REGIONAL DATA OF OPEN MULTICENTER PROSPECTIVE STUDY DIREG 2 by V. V. Tsukanov, A. S. Yurkina, T. A. Ushakova, D. V. Blinov

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Segmentation of the Sensor Data Stream in Pervasive Smart Environments by Vahid Ghasemi, Mohammad Javadian, Sajad Hayati

“…In such approaches, sensor data stream segmentation is a predominant phase. In this paper, this problem is investigated and a novel method, based on a difference of convex programming problem, is proposed to solve it. …”
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Deep Reinforcement Learning-Based Deployment Method for Emergency Communication Network by Bo Huang, Yiwei Lu, Hao Ma, Changsheng Yin, Ruopeng Yang, Yongqi Shi, Yu Tao, Yongqi Wen, Yihao Zhong

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Thyroid disease classification using generative adversarial networks and Kolmogorov-Arnold network for three-class classification by Aysel Topşir, Ferdi Güler, Ecesu Çetin, Mehmet Furkan Burak, Melih Ağraz

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Analysis of Plastic Zone and Pressure Variance Features of Surrounding Rock of High-Altitude Macker Tunnel: A Case Study in Jiangluling Macker Tunnel in Qinghai by Xiaojun Ma, Hongyan Guo, Juyi Hu, Shuang Cai, Liang Cheng, Danfeng Zhang

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Development of an Algorithm for a National Microprocessor-Based Centralization System With a Modular Architecture KZ-MPC-MA Featuring Advanced Intelligent Control Functions by Kanibek M. Sansyzbay, Yelena A. Bakhtiyarova, Teodor Iliev, Gennady S. Patokin, Laura T. Tasbolatova, Daniyar B. Sagmedinov

“…The authors also present the architecture and key features of the developing microprocessor-based system. …”
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Features of angina development across age groups: data from the World Health Survey (WHS) and the WHO Study on global AGEing and adult health (SAGE) by T. M. Maksimova, V. B. Belov, N. P. Lushkina

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CO₂ Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework by Kezhi Tu, Yanfeng Wang, Xian Li, Xiangxi Wang, Zhenzhong Hu, Bo Luo, Liu Shi, Minghan Li, Guangqian Luo, Hong Yao

“…Traditional CO₂ emission accounting methods of power plants are deficient in computational efficiency and accuracy. To solve these problems, this study proposes a novel RF-RFE-DF-Optuna (random forest–recursive feature elimination–deep forest–Optuna) framework, enabling accurate CO₂ emission prediction for coal-fired power plants. …”
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Short-Term Prediction of Origin–Destination Passenger Flow in Urban Rail Transit Systems with Multi-Source Data: A Deep Learning Method Fusing High-Dimensional Features by Huanyin Su, Shanglin Mo, Huizi Dai, Jincong Shen

“…Previous studies mainly focus on passenger flow prediction at metro stations, while few methods solve the OD passenger flow prediction problems of an urban rail transit system. In view of this, we propose a novel deep learning method fusing high-dimensional features (HDF-DL) with multi-source data. …”
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AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization by Afraa Attiah, Manal Kalkatawi

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Enhancing FTIR Spectral Feature Construction for Aero-Engine Hot Jet Remote Sensing via Integrated Peak Refinement and Higher-Order Statistical Fusion by Zhenping Kang, Yurong Liao, Xinyan Yang, Zhaoming Li

“…It adopted an adaptive threshold for the initial coarse detection of peaks, enhanced the positioning accuracy through local gradient optimization, dynamically screened the local strongest peak according to intensity information, and resolved the problem of overlapping peak resolution via an intelligent merging strategy based on the physical characteristics of spectral lines, achieving high-precision and high-robustness peak feature extraction. …”
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A high-resolution remote sensing land use/land cover classification method based on multi-level features adaptation of segment anything model by Hui Yang, Zhipeng Jiang, Yaobo Zhang, Yanlan Wu, Heng Luo, Peng Zhang, Biao Wang

“…To address this problem, we propose an innovative network model named multi-level feature adaptation-segment anything Model (MLFA-SAM). …”
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Support Vector Machine Berbasis Feature Selection Untuk Sentiment Analysis Kepuasan Pelanggan Terhadap Pelayanan Warung dan Restoran Kuliner Kota Tegal by Oman Somantri, Dyah Apriliani

“…Selisih rata-rata yang dihasilkan setelah dilakukannya optimasi SVM dengan feature selection adalah 2,51% kenaikan tingkat akurasinya. …”
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Spammer group detection based on cascading and clustering of core figures by Qianqian Jiang, Chunrong Zhang, Ning Li, Dickson K. W. Chiu, Xianwen Fang, Shujuan Ji

“…Abstract The problem of collaborative spamming in e-commerce is gradually increasing, and traditional spammer group detection algorithms usually seem cumbersome and time-consuming when dealing with massive user review data. …”
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DEDSWIN-Net: Dual Encoder Dilated Convolution and Swin Transformer Network for the Classification of Liver CT Images by Jyoshna Allenki, Hemant Kumar Soni

“…To resolve this concern, this paper suggests a novel dual encoder deep learning structure named DEDSWIN-Net to mitigate this problem. The proposed framework consists of four components: a dilated convolution-based encoder, a transformer-based encoder, a multi-scale multiple feature fusion decoder (MSMFD), and a DL training model. …”
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THE SCALES OF INFORMATION TECHNOLOGIES IMPLEMENTATION IN THE MODERN RUSSIAN ECONOMY by A. F. Vladimirova, I. B. Rodina

“…The features and problems of using information technologies in the national economy of the Russian Federation have been analysed. …”
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Low complexity radar signal classification based on spectrum shape by Liang YIN, Rui LIN, Xiaolei WANG, Yuliang YAO, Lin ZHOU, Yuan HE

“…In order to solve the problems of high computational complexity, low recognition accuracy of low signal to noise ratio (SNR) environment and low fidelity of simulation data in radar signal modulation recognition, a low complexity radar signal classification algorithm based on spectrum shape was proposed.Signal spectrum was normalized, feature parameters were extracted by spectrum sampling method, and then machine learning classification model was trained.The test results of the data generated by the radar signal source show that the classification accuracy of Barker code, Frank code, LFM code, BPSK, QPSK modulation and conventional radar signals is more than 90% (SNR≥3 dB).The algorithm has low computational complexity, can adapt to the change of signal parameters, and has good generalization.…”
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Optimized visual front-end navigation technology based on INS SLAM in smart tourism systems by Cheng Pan, Yuqing Liu, Meijiao Sun

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Research methodology for corporate disclosure of business social responsibility: conceptual approach by O. V. Efimova, O. V. Rozhnova

“…With this article, the authors open a series of publications that will comprehensively and systematically study the problems of accounting, analysis and assessment of the economic entities` social responsibility in a rapidly changing environment and emerging new challenges for society and business, including the development of a research methodology, assessment of the composition, completeness and quality of the information base, taking into account industry-specific features of the studied objects, and analytical methods and procedures.…”
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