Retrospective or Look into the Future: Possibility of General Mental Giftedness Development of Senior Preschoolers by Burlakova I.A., Klopotova E.E.

“…Denisenko revealing the structure of cognitive activity of children of preschool age and the possibilities of its development are also considered in the article. The developed model of general mental giftedness of preschoolers and the studies performed in the framework of the approach of L.A. …”
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Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT) by M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan

“…Furthermore, we incorporated a comprehensive analysis of the implementation of different classification algorithms in IoMT network intrusion detection, further supporting the claim that the proposed framework performs marginally better than alternative models.…”
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Title not available by El Mustapha El anouar, Mohamed Jallal El adnani, Marouane Zouine, Mustapha El azzabi

“…Data analysis was performed through confirmatory factor analysis and structural equation modelling using analysis of moment structures (AMOS).Results: The results indicate the impact of teachers' satisfaction with their use of e-learning on the development of their professional competencies, without any direct effect of the actual use of e-learning on these skills. …”
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The distinct transcriptomic signature of the resolution phase fibroblast-like synoviocytes supports endothelial cell dysfunction by Surabhi Gautam, Jayla Elan Whittaker, Rushi Vekariya, Sergio Ramirez-Perez, Umesh Gangishetti, Hicham Drissi, Pallavi Bhattaram

“…We performed histopathological evaluations of the joints from an inducible tumor necrosis factor-alpha (TNF-α) transgenic mouse model to reveal that phenotypic RA hallmarks including synovial hyperplasia, increased angiogenesis, and macrophage infiltration, were all reversed upon the initiation of resolution. …”
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Microstructure, Hardness and Tribological Characteristics of High-Entropy Coating Obtained by Detonation Spraying by Zhuldyz Sagdoldina, Laila Sulyubayeva, Dastan Buitkenov, Yedilzhan Kambarov

“…A comparative analysis between the initial powder and the coatings was performed, including phase transformation modeling using Thermo-Calc under non-equilibrium conditions. …”
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La redécouverte des décors du théâtre de la maison de George Sand à Nohant by Marie-Noëlle Laurent-Miri, Julie Barth, Élisabeth Portet

“…This private theatre was installed on the ground floor of the house between 1849 and 1857 and belongs to a tradition of ‘society’ theatres constructed according to the Italian model with a tall proscenium arch to accommodate movable sets giving an impression of perspective. …”
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Design and test of a quasi-zero stiffness metastructure based on the preshaped beams for low-frequency vibration isolation by Zhimin Zhang, Zhuoyuan Qi, Diankun Pan

“…A QZS isolator consisting of metastructures is designed, and its dynamic performances are verified by the experimental tests and an analytical model. …”
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Classical machine learning and artificial neural network (ANN) to predict rejection in weaving industry by Toufique Ahmed

“…Interestingly, traditional machine learning models achieved more than 95% accuracy without any data preprocessing. …”
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Intelligent Processing Methods by Veronika V. Tolmanova, Denis A. Andrikov

“…The wavelet transform provided efficient data representation and multiscale analysis, while stochastic methods were used to model uncertainty and perform probabilistic analysis. …”
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Deep Learning for Stomatal Opening Recognition in <i>Gynura formosana</i> Kitam Leaves by Xinlong Shi, Yanbo Song, Xiaojing Shi, Wenjuan Lu, Yijie Zhao, Zhimin Zhou, Junmai Chai, Zhenyu Liu

“…To address this, the study improves upon YOLOv8s by proposing a real-time, high-precision stomatal detection model, Refined GIoU. This model substitutes the original IoU evaluation methods in YOLOv8s with GIoU, DIoU, and EIoU while incorporating the SE (Squeeze-and-Excitation) and SA (Self-Attention) attention mechanisms to enhance understanding of feature representation and spatial relationships. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…Ultimately, the XGBoost prediction model, which exhibits superior performance, is selected. …”
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Dehazing algorithm for coal mining face dust and fog images based on a semi-supervised network by Meng ZHAO, Yuzhong WEI, Zheng LI, Junming ZHANG, Junda CHEN, Xiaofeng LIU

“…A contrastive learning branch is introduced to ensure that the dehazed images are closer to positive samples and farther from negative samples in the feature space, improving the model's generalization capability. …”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…Performing the sensitivity analysis demonstrated the remarkable impact of parameter V/U* in modeling process. …”
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Abnormal intrinsic functional hubs and connectivity in nurses with occupational burnout: a resting-state fMRI study by Jian-Ping Liu, Jian-Ping Liu, Si-Yu Gu, Chun-Mei Song, Hu-Cheng Yang, Yang Shi, Yu-Fang Gu, Shu-Fang Wang, Ying-Zhu Chen

“…Their correlations with Maslach Burnout Inventory-Human Services Survey (MBI-HSS) scores were assessed, and a classification model was built using DC and FC features to distinguish between burnout and control groups.ResultsThe burnout group showed significantly decreased DC in bilateral precuneus and reduced FC between left precuneus and right medial orbitofrontal cortex (mOFC) compared to the healthy control group. …”
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Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data. by Nowell M Fine, Sunil V Kalmady, Weijie Sun, Russ Greiner, Jonathan G Howlett, James A White, Finlay A McAlister, Justin A Ezekowitz, Padma Kaul

“…Outcomes of interest were 30-day and 1-year HF-related ED visits, HF hospital readmission or all-cause mortality. We applied a feature extraction method using deep feature synthesis from multiple sources of health data and compared performance of a gradient boosting algorithm (CatBoost) with logistic regression modelling. …”
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Ventral Midline Hysterectomy, Ovariectomy, and Ovariohysterectomy in Mus Musculus: A Surgical Protocol by Peyton L. Nisson, Takuma Maeda, Hiroki Uchikawa, Oscar Cisneros, Michael T. Lawton, Tomoki Hashimoto

“…While several surgical protocols exist for dorsal ovariectomy in rodents, very few address a ventral midline technique, and none are specific to the mouse model. Historically, ventral midline approaches have been considered technically challenging due to unique anatomical features, including long, thin uterine horns, fragile salpinges, short ovarian suspensory ligaments, and small animal size. …”
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MSS-Net: a lightweight network incorporating shifted large kernel and multi-path attention for ship detection in remote sensing images by Guoqing Zhou, Xiangting Wang, Sheng Liu, Yuefeng Wang, Ertao Gao, Jiangying Wu, Yanling Lu, Linbo Yu, Weiyi Wang, Kun Li

“…Firstly, shifted large kernel with feature enhancement module (SLKE) is developed to enlarge receptive field by decomposing large kernels and shift operation while performing dynamic channel attention. …”
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Chemokine expression profiles predict overall survival and immune infiltration in patients with pancreatic adenocarcinoma by Xinyu Peng, Shengnan Lv, Yuxiang Fan, Jian Zhang, Huan Liu, Yan Liu, Feng Wei

“…Human chemokines are linked to tumor survival and perform a critical role in the pancreatic adenocarcinoma (PAAD) microenvironment. …”
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A Novel Cascaded Approach for Classification of Tuberculosis Using Cough Audio in Real-Time Environment by Haroon Mahmood, Manal Iftikhar, Aamir Wali, Arshad Ali, Maryam Gulzar

“…This approach involves a series of models arranged in a sequence, where the output of one model serves as the input for the next. …”
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Uranium Transport in F-Cl-Bearing Fluids and Hydrothermal Upgrading of U-Cu Ores in IOCG Deposits by Yanlu Xing, Yuan Mei, Barbara Etschmann, Weihua Liu, Joël Brugger

“…We evaluated the potential of low-temperature fluids to upgrade U and F concentrations in magnetite-chalcopyrite ores. In our model, an oxidized (hematite-rich) granite is the primary source of F and has elevated U concentration. …”
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