Short and long-term effects of cognitive behavioral therapy on sleep problems and psychotic symptoms in patients with psychotic disorders: a meta-analysis by Mustafa Ugurlu, Gorkem Karakas Ugurlu, Esra Kabadayi Sahin, Gulsum Zuhal Kamis, Ali Caykoylu

“…The inclusion criteria were randomized controlled trials (RCTs) and uncontrolled studies that focused on participants diagnosed with schizophrenia, schizoaffective disorder, delusional disorder, psychotic disorders not otherwise specified, bipolar disorders, or unipolar depression with psychotic features, who had had sleep problems for at least 1 month, and who were receiving treatment. …”
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<i>H</i>_∞ Preview Tracking Control of Time-Delay Discrete Systems and Its Application in Nuclear Reactor Problems by Fucheng Liao, Hao Xie, Xianchun Meng, Jiang Wu, Yucheng Wei, Jiamei Deng

“…Unlike conventional control systems, the system considered in this study features control inputs that are represented as cumulative sums of historical inputs. …”
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Neutrino masses in the mirror twin Higgs with spontaneous ℤ 2 breaking by Pedro Bittar, Davi B. Costa, Gustavo Burdman

“…Abstract We introduce a mirror twin Higgs model with spontaneous ℤ 2 symmetry breaking that ameliorates the constraints in twin Higgs cosmology and, at the same time, generates the Standard Model neutrino masses. The model features an SU(2) triplet with hypercharge 1 alongside its twin counterpart. …”
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Models for analysis of water suitability by L. Makarchuk, T. Likhouzova

“… The problem of unsuitability of available drinking water for safe consumption is considered. …”
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Decoding the Enigmatic Synoptic Problem: An In-Depth Academic Analysis of Pentecostal Hermeneutics Applied to the Genealogy of Jesus Christ in Matthew 1:1-17 and Luke 3:23-38 by Kwasi Atta Agyapong

“…This article presents a Pentecostal Hermeneutics approach to resolving the synoptic problem through the genealogy of Jesus Christ in Matthew 1:1-17 and Luke 3:23-38. …”
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PANORAMIC OVERVIEW OF THE KEY FEATURES OF THE DEVELOPMENT AND PROBLEMATIC ASPECTS OF THE RUSSIAN GRAIN EXPORT-ORIENTED INDUSTRY IN MODERN CONDITIONS: DIGITAL GROWTH POINTS by E. A. Borshchova, V. S. Kokhanova

“…Тhe article reflects the most striking features of the development of the grain export-oriented industry of the Russian Federation. …”
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PECULIAR FEATURES OF MACHINING MARKS FORMATION ON SURFACE ОF TITANIUM SPECIMEN WITH SINGLE ELECTRO CONTACT ACTION OF WIRE ELECTRODE-TOOL by M. G. Kiselev, A. V. Drozdov, S. G. Monich, P. S. Bogdan

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Exact and greedy algorithms of allocating experts to maximum set of programmer teams by A. A. Prihozhy

“…The maximum clique search algorithm we propose accounts for the problem and graph features. Experimental results show that the exact algorithm is a reference one, and the double-greedy algorithm is very fast and can yield suboptimal solutions for large-size allocation problems.…”
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Unsupervised Action Anticipation Through Action Cluster Prediction by Jiuxu Chen, Nupur Thakur, Sachin Chhabra, Baoxin Li

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MINERALOGICAL-GEOCHEMICAL AND STRUCTURAL FEATURES OF ULTRAMAFIC ROCKS AND CHROMITITES OF THE MALY BASHART CHROMITE-BEARING ZONE OF THE SOUTH KRAKA MASSIF (SOUTH URALS) by D.E. Saveliev, I.A. Blinov, I.I. Musabirov

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Isolated Handwritten Pashto Character Recognition Using a K-NN Classification Tool based on Zoning and HOG Feature Extraction Techniques by Juanjuan Huang, Ihtisham Ul Haq, Chaolan Dai, Sulaiman Khan, Shah Nazir, Muhammad Imtiaz

“…This database consists of 11352 character images (258 samples for each 44 characters in a Pashto script). Enriched feature extraction techniques of histogram of oriented gradients and zoning-based density features are used for feature extraction of carved Pashto characters. …”
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Interval-Aware Scheduling of Surveillance Drones: Exact and Heuristic Approaches by Kaito Mori, Hiroki Nishikawa, Hiroyuki Tomiyama

“…Drones, with their high mobility and advanced features such as high-resolution cameras, offer a promising alternative to human patrols. …”
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Integrating VGG Re-trained Feature Extraction with Machine Learning for Knee Osteoarthritis Severity Levels Detection Using X-ray Images by Simeon Yuda Prasetyo, Ghinaa Zain Nabiilah

“…The Knee Osteoarthritis Dataset with Severity Grading is preprocessed, and features are extracted using fine-tuned VGG16 and VGG19 models. …”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

“…In addition, the proposed method is utilized to perform feature selection in human fall-detection tasks, and extensive real experimental results further illustrate the superior ability of the proposed method in addressing practical problems.…”
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UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data by Shiyang Zhou, Qingyong Zhang, Peng Xiao, Bingrong Xu, Geshuai Luo

“…To address the above problems, we design a novel STLF model called UniLF based on Transformer framework, which contains the proposed convolutional enhancement-fusion embedding method to capture the correlations between load and covariates for embedding, the proposed feature reconstruction-decomposition block to distill multiscale features as well as more detailed local-global variations from 2D space and the core mask-guided multiscale interactive self-attention mechanism to further realize the enhanced interactions of scale features and temporal features. …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…However, current approaches treat modalities equally, not maximizing text’s advantages. To solve these problems, we propose a novel method named a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning (TMFN). …”
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Autonomous Thermosiphon System of Passive Residual Heat Removal from the Primary Circuit of the Reactor Plant: Features of Operation, Characteristics and Basic Advantages by I. I Sviridenko, D. V. Shevelyov

“…The obtained results are proposed to solve the problems of diversification of passive safety systems of evolutionary reactor plants of nuclear power plants with VVER type reactors.…”
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Chinese Named Entity Recognition for Dairy Cow Diseases by Fusion of Multi-Semantic Features Using Self-Attention-Based Deep Learning by Yongjun Lou, Meng Gao, Shuo Zhang, Hongjun Yang, Sicong Wang, Yongqiang He, Jing Yang, Wenxia Yang, Haitao Du, Weizheng Shen

“…Targeting the characteristics of the Chinese dairy cow diseases corpus, we propose an ensemble Chinese NER model incorporating character-level, pinyin-level, glyph-level, and lexical-level features of Chinese characters. These multi-level features were concatenated and fed into the bidirectional long short-term memory (Bi-LSTM) network based on the multi-head self-attention mechanism to learn long-distance dependencies while focusing on important features. …”
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Features of forming a low-temperature cubic Li7La3Zr2O12 film by tape casting by Efim Lyalin, Larisa Pershina, Evgeniya Il’ina, Konstantin Druzhinin, Semen Belyakov

“…In this research, the features of the structure formation, morphology and lithium-ion conductivity of Li7La3Zr2O12 films were investigated. …”
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ETQ-Matcher: Efficient Quadtree-Attention-Guided Transformer for Detector-Free Aerial–Ground Image Matching by Chuan Xu, Beikang Wang, Zhiwei Ye, Liye Mei

“…UAV aerial–ground feature matching is used for remote sensing applications, such as urban mapping, disaster management, and surveillance. …”
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