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  1. 8641

    WHY SCIENTIFIC RESEARCH OF A LECTURER IS THE «LAME HORSE» OF MODERN SCIENCE? by Maria A. Belyaeva

    Published 2015-04-01
    “…Scientific logistics measured in scientometric quantitative indexes and in their income as a calculated direct commercial effect performs the image function for a research, providing improved individual and corporate status. …”
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  2. 8642

    Triplane generator-based NeRF-GAN framework for single-view ship reconstruction by Tao Liu, Shiqi Geng, Yucheng Fu, Zhengling Lei, Yuchi Huo, Xiaocai Zhang, Fang Wang, Bing Han, Mei Sha, Zhongdai Wu

    Published 2025-08-01
    “…Plus, discriminator and encoder networks, coupled with a tailored loss function, are formulated to direct model optimization. …”
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  3. 8643

    Las regularidades metodológicas en las disciplinas gráficas. // The methodological regularities in graphical disciplines. by E. G. Ruiz Martell, G. R. Fernández López

    Published 2001-10-01
    “…These regularities are in function of the abilities to develop in a<br />profession and the social context in which they evolve, the dimension of the inherent content, the ecological exigencies, the<br />organizational, temporary and space working conditions that are the derived from the own professional process, the relation<br />that must exist between the method of technological work and the method of education to generate the learning experiences<br />which derive in professional abilities, etc, all this analysis consolidates and supports the methodological and educational<br />task to develop by professors of these disciplines.…”
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  4. 8644

    Efficient Tuning of an Isotope Separation Online System Through Safe Bayesian Optimization with Simulation-Informed Gaussian Process for the Constraints by Santiago Ramos Garces, Ivan De Boi, João Pedro Ramos, Marc Dierckx, Lucia Popescu, Stijn Derammelaere

    Published 2024-11-01
    “…Therefore, a slight modification of safe Bayesian optimization allows for applying the method using a probabilistic classifier for learning classification constraints. However, violation of constraints may occur during the optimization process, as the theoretical guarantees of safe Bayesian optimization do not apply to discontinuous functions. …”
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  5. 8645

    PBertKla: a protein large language model for predicting human lysine lactylation sites by Hongyan Lai, Diyu Luo, Mi Yang, Tao Zhu, Huan Yang, Xinwei Luo, Yijie Wei, Sijia Xie, Feitong Hong, Kunxian Shu, Fuying Dao, Hui Ding

    Published 2025-04-01
    “…Precise identification of Kla sites is fundamental for elucidating their biological functions and uncovering their application potential. …”
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  6. 8646

    A Fog Computing-Based Cost-Effective Smart Health Monitoring Device for Infectious Disease Applications by Saranya Govindakumar, Vijayalakshmi Sankaran, Paramasivam Alagumariappan, Bhaskar Kosuru Bojji Raju, Daniel Ford

    Published 2024-10-01
    “…Additionally, a convolutional neural network (CNN)-based deep learning algorithm was coded inside the Raspberry PI and was trained with normal and COVID-19 cough sounds from the KAGGLE database. …”
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  7. 8647

    Risk factors and foot biomechanical characteristics of idiopathic scoliosis: a cross-sectional study by Pengfei Sun, Yuqing Zhou, Yimin Xie, Shuai Chen, Guangming Bian, Yuheng Wu, Liansheng Shao, Lu Chen, Zhiying Lin, Wen Min

    Published 2025-05-01
    “…When compared to healthy people, IS patients exhibit foot biomechanics characterized by a diagonal distribution of bilateral weight-bearing and walking instability, as well as poor balance function if they have an abnormal foot type, as in the case of flat foot. …”
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  8. 8648

    Relationship Between Perinatal and Neonatal Indices and Intelligence Quotient in Very Low Birth Weight Infants at the Age of 6 or 8 Years by Shu-Chi Mu, Cheng-Hui Lin, Yi-Ling Chen, Chia-Han Chang, Kuo-Inn Tsou

    Published 2008-04-01
    “…The specific aims of our study were to evaluate the neonatal outcomes of VLBW infants and whether they would influence intelligence quotient (IQ), cognitive function and learning disabilities at the age of 6 or 8 years. …”
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  9. 8649

    THE ROLE OF THE LINGUOCULTURAL COMPONENT IN THE PROCESS OF INTERCULTURAL COMMUNICATION by Inna Yu. Pidhorodetska

    Published 2019-06-01
    “…But in English there is no form of personal pronoun with the named function. The markers of the official English-language communication are etiquette forms of appeal, greetings, farewells. …”
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  10. 8650

    Unraveling anoikis in glioblastoma: insights from single-cell sequencing and prognostic modeling by Qikai Tang, Chenfeng Ma, Jiaheng Xie, Qixiang Zhang, Bingtao Zhang, Weiqi Bian, Qingyu Lu, Zeyu Wan, Wei Wu

    Published 2025-03-01
    “…We identified anoikis-related genes, constructed a prognostic model using 101 machine learning algorithms, and validated its clinical utility across multiple cohorts.Finally, we also verified the expression of model genes and the function of key gene in clinical samples and cell lines. …”
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  11. 8651

    Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

    Published 2025-05-01
    “…The population initialization utilized Tent chaotic mapping in conjunction with an opposition-based learning mechanism. Global optimization and local search functions were balanced through the introduction of adaptive weights and nonlinear convergence factors. …”
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  12. 8652

    Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

    Published 2025-08-01
    “…Secondly, renewable energy sources such as wind-solar-EV are integrated with the aforesaid systems for lowering fuel cost, emission, active power loss (APL), aggregated voltage deviation (AVD), voltage stability index (VSI) and also cost, emision, APL, AVD, VSI are reduced simultaneously considering different cases for multi-objective functions.Proposed sine-cosine algorithm (SCA) embedded with quasi-oppositional based learning (QOBL), known as QOSCA is used to balance the exploration and exploitation ability in order to overcome shortcomings and provide global optimal solutions. …”
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  13. 8653

    TIAR-SAR: An Oriented SAR Ship Detector Combining a Task Interaction Head Architecture with Composite Angle Regression by Yu Gu, Minding Fang, Dongliang Peng

    Published 2025-06-01
    “…Oriented ship detection in Synthetic Aperture Radar (SAR) images has broad applications in maritime surveillance and other fields. While deep learning advancements have significantly improved ship detection performance, persistent challenges remain for existing methods. …”
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  14. 8654

    TNF-α-NF-κB activation through pathological α-Synuclein disrupts the BBB and exacerbates axonopathy by Min-Tae Jeon, Sinnead Anne Cogill, Kyu-Sung Kim, Yongjin Kim, Hyerin Kim, Chung-Yeol Lee, Suji Kim, Suhyeon Son, Jeongyeon Kim, Jaehyeok Lee, Inyeong Park, Mookyung Cheon, Do-Geun Kim

    Published 2025-07-01
    “…This study aimed to reveal the pathological effects of α-Synuclein (α-Syn), an aggregation protein in synucleinopathy, on BBB integrity and function and identify therapeutic targets for α-Syn-related vasculopathy. …”
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  15. 8655

    Non-parathyroid hypercalcemia in a patient with new-onset hyperthyroidism and silicone-induced granulomas: case report by Laura Montefusco, Giada Rossi, Iulia Petria, Ida Pastore, Ida Pastore, Paolo Fiorina, Paolo Fiorina, Paolo Fiorina, Paolo Fiorina

    Published 2025-01-01
    “…Treatment of hyperthyroidism with normalization of thyroid function tests was simultaneously followed by improvement of calcium and PTH levels supporting the diagnosis of hypercalcemia secondary to Graves’ disease.Learning pointsHyperthyroidism is a rare cause of hypercalcemia, but it has to be considered in suggestive clinical settings. …”
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  16. 8656

    LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models by Chuwen Zhang, Yong He, Jieni Wang, Tengkai Chen, Federico Baltar, Minjie Hu, Jing Liao, Xi Xiao, Zhao-Rong Li, Xiyang Dong

    Published 2025-05-01
    “…To address this, we developed a deep learning model, LucaPCycle, integrating raw sequences and contextual embeddings based on the protein language model ESM2-3B. …”
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  17. 8657

    Adaptive respiratory muscle trainer based on hybrid nanogenerator sensor and artificial intelligence by Ziao Xue, Puchuan Tan, Jiangtao Xue, Yuan Xi, Minghao Liu, Yang Zou, Qiang Zheng, Zhou Li, Yuxiang Wu

    Published 2025-06-01
    “…Abstract Respiratory muscle training can improve respiratory function by strengthening muscle mass, which is of great help to populations with respiratory system diseases and athletes. …”
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  18. 8658

    Preventive effects of xanthohumol in APP/PS1 mice based on multi-omics atlas by Wei Liu, Xiao Chen, Chen Yang, Zequn Lin, Xinfeng Huang, Zhen Zhang, Jianjun Liu

    Published 2025-05-01
    “…Xn treatment significantly improved cognitive function in AD transgenic mice. Different doses of Xn caused significant differences in protein expression and flora composition and abundance, suggesting that the doses of Xn should be selected with caution, and low dose may be better in the prevention of AD.…”
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  19. 8659

    Improved YOLOv8 Model for Multi-type Lung Nodule Detection by BAO Qiangqiang, TANG Siyuan, LI Qingqian, WANG Naiyu, YANG Min, GU Yu, ZHAO Jinliang, GAO Jingbo, WANG Jiaxin, QU Yuhan

    Published 2025-02-01
    “…Finally, based on the Inner-IoU auxiliary frame idea, the CIoU loss function is improved to solve the problem of unfixed lung nodule scale and enhance the model detection accuracy. …”
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  20. 8660

    Operation of Photo Electron Spectrometers for Non-Invasive Photon Diagnostics at the European X-Ray Free Electron Laser by Joakim Laksman, Florian Dietrich, Theophilos Maltezopoulos, Jia Liu, Danilo Enoque Ferreira de Lima, Natalia Gerasimova, Ivars Karpics, Naresh Kujala, Philipp Schmidt, Suren Karabekyan, Svitozar Serkez, Jan Grünert

    Published 2024-11-01
    “…Furthermore, recent advancements in machine learning enable resolution enhancement by training the photoelectron spectrometer together with an invasive high-resolution spectrometer, which generates a response function model.…”
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