Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

“…The Flexi Corner Block module enhances road damage detection by combining deformable convolutions with lightweight MLP and Learnable Local Attention, improving feature learning in corner areas. Moreover, the HXIOU loss function uses weighted calculations to effectively mine difficult samples, enhancing detection capabilities for challenging damages such as blurry potholes and fine cracks. …”
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Evaluating the evidence: a systematic review of reviews of the effectiveness and safety of digital interventions for ADHD by Elia Gabarron, Kerstin Denecke, Guillermo Lopez-Campos

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GUIDE IN ENGLISH AS A MATERIAL FOR PROFESSIONAL COMPETENCE ACQUISITION BY STUDENTS OF TOURISTS’ SPECIALTIES (ON THE EXAMPLE OF THE GUIDE SERIES ‘AWESOME UKRAINE’) by Nataliia E. Polishko, Neliia M. Blynova

“…The article is devoted to the issues of learning English by students of bachelor’s specialty “Tourism” and «Hotel and restaurant business». …”
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Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis by Ke Bi, Yuxi Chen, Yuhang Hu, Song Li, Weiming Li, Zhange Yu, Lei Yu

“…The AR&MRDEGs were enriched in mitochondrial structure and function. Then, 6 key genes were identified by WGCNA and multiple machine learning, and a novel diagnostic model was constructed. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…Traditional machine learning algorithms frequently experience overfitting when processing high-dimensional time-series data or substantial numbers of outliers, impeding the accurate prediction of various vegetation metrics. …”
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Individual variation in preference behavior in sailfin fish refines the neurotranscriptomic pathway for mate preference by Rebecca L. Young, Sarah M. Price, Molly Schumer, Silu Wang, Molly E. Cummings

“…We hypothesize that the association between mate preference and transcriptomic immune function is driven by the less well‐known role of these genes in neural plasticity which is likely involved in higher‐order learning and processing during mate choice decisions.…”
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Unlocking the Shopper’s Mind: How Emerging Technologies Like Artificial Intelligence Is Shaping the Future of Retail by Florina-Gabriela MITU, Marius BOTA, Emil Emanuel SAVAN

“…Two other major trends are omnichannel strategies, integrating physical experience with online shopping, and the rise of experiential shopping technologies such as AR (augmented reality) in shaping how retailers connect with consumers. The increasing function of artificial intelligence and machine learning to optimize supply chains also raises crucial questions regarding the ethics of these developments in retail marketing. …”
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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

“…This singing voice system with the help of activation function prevented the transfer of singer information while conveying the singing content. …”
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Generalizing the Cross Product to <i>N</i> Dimensions: A Novel Approach for Multidimensional Analysis and Applications by Samir Brahim Belhaouari, Yunis Carreon Kahalan, Ilyasse Aksikas, Abdelouahed Hamdi, Ismael Belhaouari, Elias Nabel Haoudi, Halima Bensmail

“…The proposed method leverages the determinant approach and introduces the polar sine function to calculate the magnitude of the cross product, linking it directly to the volume of an <i>N</i>-dimensional parallelotope. …”
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Technology for designing structural-mental schemes for calculation tasks by N. I. Pak, E. V. Asaulenko

“…At the same time, the variety of routes and the set of weights of the paths make up the information model of learning. As an example, structural and mental schemes on the topic “thermal phenomena” are presented. …”
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Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches by Bing Cheng, Xinyu Liu, Keke Guo, Ahmad Rastegarnia

“…Among the kernel functions used in SVM, the radial basis function (RBF) kernel provided the most accurate results. …”
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Tai Chi Chuan teaching on alleviating mental fatigue among college students: insights from ERPs by Ruimin Ji, Jiayu Li

“…BackgroundMental fatigue is a prevalent issue, especially among college students, which significantly impacts learning efficiency. Existing interventions like caffeine use have side-effects, highlighting the need for alternative approaches. …”
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“Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

“…Chatbots, from the point of view of the communicative function, when organizing speech acts, must use special rules and linguistic models in order to bring the speech act to success. …”
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A Lightweight Transformer Model for Defect Detection in Electroluminescence Images of Photovoltaic Cells by Yang Yang, Jing Zhang, Xin Shu, Lei Pan, Ming Zhang

“…To ensure solar panels function well, efficient and accurate defect detection of PV modules is essential. …”
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Grin2a Hypofunction Impairs Spatial Working Memory and Disrupts Hippocampal Network Oscillations and Excitatory-Inhibitory Balance by Hassan Hosseini, Sky Evans-Martin, Emma Bogomilsky, Dominique L. Pritchett, Kevin S. Jones

“…Background: NMDA receptors, particularly those containing the GluN2A subunit, are critical for hippocampal-dependent learning and memory. The GluN2A subunit is encoded by the GRIN2A gene and is essential for maintaining cognitive function, including working memory. …”
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Research Hotspots and Trends of Virtual Reality Intervention for Stroke: Bibliometric Analysis by Yixin Wei, Yuan Chen, Runting Ma, Yitong Qiu, Wei Su, Li Zhang, Qiang Gao

“…Keywords with notable citation bursts, such as “environment,” “trial,” “arm,” and “motor learning,” highlighted the core research themes in this domain. …”
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Modulation of neural activity and gene expression by arecoline by Xiaonan Li, Jie Gao, Xiaomin Liu, Jianfeng Guo, Yifan Liu, Peicai Cui, Dawei Yan, Ting Fei, Ming Chen, Yihan Gao

“…These results provide valuable insights into the addictive potential of arecoline and its underlying neurobiological mechanisms, offering crucial information for understanding its broader impact on CNS function. The study’s findings hold significant implications for informing public health strategies aimed at addressing arecoline misuse and its potential role in addiction-related disorders.…”
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MFI-Net: multi-level feature invertible network image concealment technique by Dapeng Cheng, Minghui Zhu, Bo Yang, Xiaolian Gao, Wanting Jing, Yanyan Mao, Feng Zhao

“…The utilization of deep learning and invertible networks for image hiding has been proven effective and secure. …”
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Adaptation of the Listening Comprehension Test to Turkish Culture by Yasemin Yüzbaşıoğlu, Halime Miray Sümer Dodur, Serpil Çelikten Demirel, Özlem Altındağ Kumaş

“…Then, general model-data fit, item-based model-data fit, discrimination parameters, difficulty parameters and information functions were examined with factor loadings.Findings: The results showed that item parameters were in the expected ranges in practical applications, and test information function peaked at lower ability level similar to the original measurement tool. …”
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Systems biology approach delineates critical pathways associated with papillary thyroid cancer: a multi-omics data analysis by Febby Payva, Santhy K. S., Remya James, Amrisa Pavithra E, Venketesh Sivaramakrishnan

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