A Deep Curriculum Learning Semi-Supervised Framework for Remote Sensing Scene Classification by Qing Zhang, Jialu Chen, Baohua Yuan

“…Experiments on three publicly available datasets (UC Merced, AID, and NWPU-RESISC45) show that the semi-supervised classification framework achieves high accuracy rates (99.14%, 97.95%, and 93.01%), even surpassing those of the most supervised classification methods. …”
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A thematic analysis of UK COVID-19 vaccine hesitancy discussions on Twitter by Reeshma Jameel, Sheila Greenfield, Anna Lavis

“…Abstract Background Following UK approval of the Pfizer-BioNTech and Oxford-AstraZeneca vaccines on 2/12/20 and 30/12/20 respectively, discussions about them emerged on the social media platform Twitter, (now ‘X’). …”
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Classification Algorithms in Automatic Diagnosis of ECG Arrhythmias: A Review by Haibo Sun, Dan Luo, Xin Niu, Xiaoxi Zeng, Bin Zheng, Hao Liu, Jingye Pan

“…This paper systematically analyzes the literatures related to the automatic classification of arrhythmias based on ECG signals, summarizes the classification algorithms of different arrhythmias based on neural network model and non-neural network model, and summarizes the classification characteristics of the two main classification models in the application of automatic diagnosis of arrhythmias under the same AAMI standard and MIT-BIH arrhythmia database. This paper summarizes the selected research results in the field of arrhythmia classification under the same database from the perspective of data quality, evaluation paradigm and performance indicators, and discusses the correlation between the specific characteristics of arrhythmia detection and different classification algorithms. …”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…The first part of this review presents the key ideas of 15 chapters, focusing on the foundational components of social  theory and their connections to the internet in daily life, digital  technologies for surveys and data processing, the significance  of mobile devices, big data, machine learning, agent-based  models of social phenomena, inclusive digital focus groups, social networking sites in professional contexts, online dating, partner selection based on digital information, the use of digital approaches in online markets, the application of YouTube in social sciences, and automated image analysis. …”
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Le chemin des « mauvaises filles » by Véronique Blanchard, Hélène Duffuler-Vialle

“…The second part of the exhibition takes the public to a locked room where big photographs and copies of imprisoned girls’ words show the effect of confinement throughout the ages.The aim or the exhibition is tolerance and humanism. …”
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Long-term Air Pollution Exposure Impact on COVID-19 Morbidity in China by Yihan Wu, Qingming Zhan, Qunshan Zhao

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An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model by Kaikai Wang, Chun’an Tang, Ke Ma, Xintang Wang, Qiang Li

“…Blast vibration signals have short duration, high frequency, and complex frequency spectrum, and their dominant frequencies are mainly over 100 Hz. …”
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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection by Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li

“…First, the global and local information are combined into the collaborative representation to obtain a more valuable background dictionary, preventing the big targets from being missed. Second, to address the problem that anomaly targets are susceptible to interference spectra, an improved structure tensor is introduced into the band selection and detection refining. …”
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The theoretical cognition and research paradigm of land system science by LONG Hualou, CHEN Kunqiu, ZHENG Yuhan, ZHANG Yingnan

“…The research paradigm of land system science has gradually transformed from knowledge and phenomenon description to the simulation and prediction of complex land systems, which emphasizes the integration of multidisciplinary theories and methods as well as understanding the local-distant coupled interactions of land systems based on the integrated multiscale analysis of expanding boundaries, and focuses on the construction of large-scale quantitative land system models to provide comprehensive and dynamic integrated analysis, prediction and simulation of its dynamic mechanisms, integrated effects and future scenarios and risks, and appeals for an opening scientific collaboration in the era of big data.…”
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Diversity, Abundance, and Habitat Association of Medium and Large-Sized Mammals in Tiski Waterfall, Awi Zone, Ethiopia by Binega Derebe, Yonas Derebe, Melkamu Kassaye

“…To limit the impact of agricultural growth on big and medium mammals, good habitat management is required.…”
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Sub-millimeter fiberscopic robot with integrated maneuvering, imaging, and biomedical operation abilities by Tieshan Zhang, Gen Li, Hao Ren, Liu Yang, Xiong Yang, Rong Tan, Yifeng Tang, Dong Guo, Haoxiang Zhao, Wanfeng Shang, Yajing Shen

“…This study introduces an optical fiber-based continuum robot integrated imaging, high-precision motion, and multifunctional operation abilities at submillimeter-scale. …”
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Sufficient conditions for the existence of path-factors with given properties by Hui Qin, Guowei Dai, Yuan Chen, Ting Jin, Yuan Yuan

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Effects of limited introgressions from Triticum timopheevii Tausch. into the genome of bread wheat (Triticum aestivum L.) on physiological and biochemical traits under normal water... by T. A. Pshenichnikova, A. V. Permyakov, S. V. Osipova, M. D. Permyakova, E. G. Rudikovskaya, V. V. Verchoturov

“…Line 821 was developed on the genetic background of cultivar Saratovskaya 29 (S29), which is drought-resistant but is very susceptible to diseases and carries big introgressions in 2A and 2B chromosomes and a small introgression in the subtelomeric region of 5A chromosome. …”
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The association between personality traits and transphobia among university students: a cross-sectional study in northwestern Iran by Ali Reza Shafiee-Kandjani, Behzad Shalchi, Asal Raeisnia, Sara Tajlil, Elham Davtalab-Esmaeili

“…Data were gathered through standard self-reported questioners; Genderism and Transphobia Scale (GTS), and Big Five Inventory scale (BFI-44). Linear regression analysis was conducted to estimate standard coefficient with 95% Confidence Intervals (CIs). …”
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Public-Private Partnership: High-Impact Alliance for Sustainability Targets by Y. I. Vaslavskiy

“…Such change usually starts with building new structural ties by sustainable big companies that must conform to the dynamic reality. …”
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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications by Manal Alkhammash

“…Besides, the MHADMA-BCIDL technique employs an attention-based convolutional neural network with bi-directional long short-term memory (CNN-BiLSTM-Attention) method for the detection and classification of attacks. …”
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Uso de deep learning para a construção de um modelo de recuperação da informação aplicado para o setor de mineração no Brasil by Luander Cipriano de Jesus Falcão, Brenner Lopes, Renato Rocha Souza, Ricardo Rodrigues Barbosa

“…Diante do crescimento exponencial de dados e informações, proporcionado por sensores e mídias sociais, um ecossistema composto por novas infraestruturas de armazenamento e processamento, denominado Big Data, foi desenvolvido. Todo esse desenvolvimento redundou em uma nova área do conhecimento, denominada Ciência de Dados. …”
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An Integrated Consensus Improving Strategy Based on PL-Wasserstein Distance and Its Application in the Evaluation of Network Public Opinion Emergencies by Shitao Zhang, Zhenzhen Ma, Xiaodi Liu, Zhiying Wang, Lihui Jiang

“…Due to the complexity of network public opinion emergencies and the limited cognition of experts, most of the decision problems for evaluating the network public opinion emergencies are highly uncertain. Also, prior to the selection of the highest crisis, it is preferable that experts reach a high degree of consensus among their assessments or opinions. …”
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Data-Driven Technologies for Energy Optimization in Smart Buildings: A Scoping Review by Joy Dalmacio Billanes, Zheng Grace Ma, Bo Nørregaard Jørgensen

“…Despite the benefits, challenges such as high initial costs, technical complexities, security risks, and user acceptance hinder their widespread adoption. …”
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The Ocular Biometry of Adult Cataract Patients on Lifeline Express Hospital Eye-Train in Rural China by Xiaoguang Cao, Xianru Hou, Yongzhen Bao

“…The AL is normally distributed with a positive skew and big kurtosis. The corneal powers are not normal distribution. …”
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