Williams-Beuren's Syndrome: A Case Report by Hassan Zamani, Kazem Babazadeh, Saeid Fattahi, Farzad Mokhtari-Esbuie

“…We suggest a more attention for evaluating heart murmur in childhood period, especially when the patient has abnormal facial features or mental problem.…”
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Unfaithful Words: Tolerance by Ferenc Ruzsa

“…The same problem reappears when we try to describe and understand these cultures. …”
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History of economic and demographic development of the Chinese northeastern province of Liaoning (late 1970-ies – early XXI century) by S. B. Makeeva

“…A comprehensive examination of evolution of the demographic problem in Northeast China through the prism of the history of Liaoning Province will make it possible to understand the origins of the modern problem of declining birth rates and reducing the rate of population growth in Dongbei. …”
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A Multi-Level SAR-Guided Contextual Attention Network for Satellite Images Cloud Removal by Ganchao Liu, Jiawei Qiu, Yuan Yuan

“…Due to the complete absence of information in cloud-covered regions, cloud removal with a single optical image is an ill-posed problem. Since the synthetic aperture radar (SAR) can effectively penetrate clouds, fusing SAR and optical remote sensing images will effectively alleviate this problem. …”
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A contrastive learning framework with dual gates and noise awareness for temporal knowledge graph reasoning by Siling Feng, Bolin Chen, Qian Liu, Mengxing Huang

“…Abstract Temporal knowledge graph reasoning(TKGR) has attracted widespread attention due to its ability to handle dynamic temporal features. However, existing methods face three major challenges: (1) the difficulty of capturing long-distance dependencies in information sparse environments; (2) the problem of noise interference; (3) the complexity of modeling temporal relationships. …”
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EER-DETR: An Improved Method for Detecting Defects on the Surface of Solar Panels Based on RT-DETR by Jiajun Dun, Hai Yang, Shixin Yuan, Ying Tang

“…In response to the shortcomings of existing detection methods in identifying tiny defects and model efficiency, this study innovatively constructed the EER-DETR detection framework: firstly, a feature reconstruction module WDBB with a differentiable branch structure was introduced to significantly enhance the feature retention ability for fine cracks and other small targets; secondly, an adaptive feature pyramid network EHFPN was innovatively designed, which achieved efficient integration of multi-level features through a dynamic weight allocation mechanism, reducing the model complexity by 9.7% while maintaining detection accuracy, solving the industry problem of “precision—efficiency imbalance” in traditional feature pyramid networks; finally, an enhanced upsampling component was introduced to effectively address the problem of detail loss that occurs in traditional methods during image resolution enhancement. …”
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Authors’ Moral Rights in the Digital Environment by E. Sápi

“…The role of NFT technologies in solving the problem of preserving the author’s moral rights is defined.Scientific novelty: the work fills a gap in research on the relationship between copyright and technological development. …”
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Comparative analysis of parental attitude and the adaptive potential of adolescents with overweight and obesity by A. P. Kondakova, Z. N. Platonova

“…Experts consider this problem not only from a somatic point of view, but also from a psychological component.The objective was to identify the features of adaptive resource potential, personal anxiety and the specifics of parental attitudes of overweight and obese adolescents.Methods and materials. …”
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Position Control of a Maglev System Fed by a DC/DC Buck Power Electronic Converter by Victor Manuel Hernández-Guzmán, Ramón Silva-Ortigoza, Magdalena Marciano-Melchor

“…In this paper, we solve the problem of position regulation in a magnetic levitation system that is fed by a DC/DC Buck power electronic converter as a power amplifier. …”
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Power Load Data Completion Method Based on Integrated Graph Convolutional Variational Transformer by YAN Li, HU Hailin, SHI Lei, WU Qinzheng, LÜ Tianguang, XU Yingdong, ZHANG Wenbin, WANG Gaozhou

“…[Conclusions] The results show that the proposed method provides a feasible solution to the problem of missing power load data and is expected to further expand the application scope of the model.…”
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A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

“…Secondly, in the main station, the subspace pursuit (SP) algorithm is used to reconstruct the low-dimensional signal; the broadband oscillation signal is recovered without losing the main features of the signal. Finally, we use the EEMD algorithm to decompose the reconstructed signal; the intrinsic mode function (IMF) components containing wideband oscillation information are screened by the energy coefficient, and the wideband oscillation information is identified.…”
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Comparisons of Faulting-Based Pavement Performance Prediction Models by Weina Wang, Yu Qin, Xiaofei Li, Di Wang, Huiqiang Chen

“…Highway agencies are always faced with the problem of lower accuracy for the prediction which causes costly maintenance. …”
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Remote Sensing Target Tracking Method Based on Super-Resolution Reconstruction and Hybrid Networks by Hongqing Wan, Sha Xu, Yali Yang, Yongfang Li

“…Moreover, the motion of remote sensing targets usually has nonlinear features, and existing target tracking methods based on remote sensing data cannot accurately track remote sensing targets. …”
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Chronic and opportunistic infections in patients with immuno-inflammatory rheumatic diseases: screening and prevention issues (based on the materials of the EULAR recommendations) by B. S. Belov, G. I. Gridneva, E. S. Aronova, E. L. Nasonov

“…At the present stage of development of rheumatology, much attention is paid to the problem of comorbid infections, which have a significant impact on mortality and mortality, especially in immuno-inflammatory rheumatic diseases (IIRD). …”
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A multiobjective continuation method to compute the regularization path of deep neural networks by Augustina Chidinma Amakor, Konstantin Sonntag, Sebastian Peitz

“…Sparsity is a highly desired feature in deep neural networks (DNNs) since it ensures numerical efficiency, improves the interpretability (due to the smaller number of relevant features), and robustness. …”
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Q-learning with temporal memory to navigate turbulence by Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara

“…We consider the problem of olfactory searches in a turbulent environment. …”
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Sleep Related Nighttime Crying in Early Childhood by Meliha Pınar Cengiz, Aylin Yetim Şahin, Bahar Kural, Betül Bozkurt Bulakçı, Emine Gülbin Gökçay

“…Material and Methods: A questionnaire was administered to the parents of 3-36-month-old children visiting a well-child unit. Sociodemographic features and sleep characteristics of the children were evaluated. …”
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RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup by Tamara El Hajjar, Mohammed Lansari, Reda Bellafqira, Gouenou Coatrieux, Katarzyna Kapusta, Kassem Kallas

“…There is also the robustness requirement, which quantifies the resistance against watermark removal techniques. The problem is that the proposed methods generally fail to meet these necessary standards. …”
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Hierarchical Fuzzy Method of Comparing Bank Products with Complex Tariff Packages by Aleksey Mints, Dmytro Zherlitsyn, Olena Khadzhynova, Evelina Kamyshnykova, Oleksandr Kalinin

“…The proposed method allows solving the main informational problems of traditional methods for comparing banking products. …”
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Steel Surface Defect Detection Technology Based on YOLOv8-MGVS by Kai Zeng, Zibo Xia, Junlei Qian, Xueqiang Du, Pengcheng Xiao, Liguang Zhu

“…The MLCA mechanism in the C2f module is applied to increase the feature extraction ability in the backbone network. …”
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