Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…Specifically, DGRL first integrates dimension reduction into ridge regression rather than treated them as two irrelevant steps, which enables us to capture the underlying subspace structure and correlation patterns among classes. Additionally, a graph regularizer that fully utilizes the local class information is developed and introduced to the new framework so as to enhance the classification accuracy and prevent overfitting. …”
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Transportation carbon emission efficiency network formation mechanism and spatial structural complexity analysis: Evidence from China by Lin Liu, Yuming Liu, Rong Zhao

“…This study employs the super-efficiency SBM model and social network analysis to examine the mechanistic formation of carbon emission networks, emphasizing temporal and gradient distribution patterns of efficiency networks, spatial transfer pathways, efficiency evolution characteristics, and the complexity of microstructures. …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…The aim of the present work is to construct a mathematical model for the spread of the pandemic and identify patterns under the assumption that Moscow comprises the main source of viral infection in Russia. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Additionally, we developed a hybrid deep learning model integrating RegNet and FBNet architectures to enhance feature extraction and classification performance. …”
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An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…Removing valued patterns and insights from this vast amount of textual data requires advanced methods to provide information while preserving its essential components successfully. …”
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Reading the works of Verism through the magazines and critics of XIXth century. Text editions, lexical maps and thematic dictionaries in a user-oriented portal by Denise Bruno, Giuseppe Canzoneri, Salvatore Cristofaro, Antonio Di Silvestro, Laura Mazzagufo, Daria Spampinato

“…The focus is on the creation of a hybrid edition-archive, or knowledge site, where textual reading is complemented by both synchronic and diachronic data analysis. A central feature is the development of a lexical map, the Verbum dictionary, that links secondary literature on Verismo to primary sources through an interactive timeline (Ver-in-time). …”
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Révision de l’espèce Homo erectus (Dubois, 1893) by Valéry Zeitoun

“…The reconstruction of this evolutionary pattern should be matched with other data (dating, biogeography) to allow to reconstruct a real evolutionary synopsis.According to several authors (Stringer, 1984; Hublin, 1986; Kennedy, 1991; Brauer and Mbua, 1992) the existence of autapomorphic features for Homo erectus is not proved. …”
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Fatigue Resistance of Asphalt Concrete Pavements. Peculiarity and Assessments of Potentials by Zhongyu Li, Tingguo Liu, Jicun Shi, Uladzimir Veranko, Vitali Zankavich

“…This situation is a significant feature of the behaviour of asphalt concrete, which opens the way for the development of certain approaches to the analysis of their properties, evaluation of reliability and durability. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…When formulating training plans, priority should be given to how to improve on-job training satisfaction and design a more targeted competency patterns tailored training curriculum. Moreover, organizational incentives aimed at motivating trainees and integrating career development goals into training program design are important. …”
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Atypical presentation of ewing's sarcoma by Veenita Yogi, Haridas P Mani, Om Prakash Singh, Hameeduzzafar Ghori

“…This study depicts presentations of ES who either presented with some unusuality at the time of diagnosis or developed peculiar features uncharacteristic of ES during their course of treatment. …”
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Classification of power grip and precision grip in children using an EIT-based tactile sensor by Ryunosuke Asahi, Shumpei Toriyama, Yasuyo Minagawa, Shunsuke Yoshimoto, Hiroki Sato

“…These results demonstrate that the basic grasp patterns in children can be accurately classified using a tomographic tactile sensor. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…A temporal convolution network captures temporal dependencies within the extracted action features, distinguishing between actions with similar spatial characteristics but distinct temporal patterns. …”
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General regression and representation model for classification. by Jianjun Qian, Jian Yang, Yong Xu

“…SRC and CRC) show a great potential for pattern classification. However, most existing coding methods assume that the representation residuals are uncorrelated. …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…We conclude that continued development of deep learning-based feature tracking approaches for glacier velocity computations may substantially improve UAV-based velocity derivations applied to challenging situations. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…The field faces challenges such as long-tail distribution problems, data sparsity, and complex label co-occurrence patterns due to peptides’ multi-functional nature. …”
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Hermeneutics and its New Tendencies: to the Question of Aesthetic Paradigm Change by N. F. Shcherbak

“…The work examines the main vector of development of contemporary literary and hermeneutics studies. …”
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LiMMCov: An interactive research tool for efficiently selecting covariance structures in linear mixed models using insights from time series analysis. by Perseverence Savieri, Lara Stas, Kurt Barbé

“…This paper details the development and features of LiMMCov, demonstrates its application with an example dataset, and discusses its potential impact on research. …”
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Pedagogical models of blended learning: On the experience of Russian and foreign practice of design and implementation by T. Yu. Pletyago, A. S. Ostapenko, S. N. Antonova

“…This blend is considered a trigger for innovative development of higher education worldwide due to its adequate adaptive personalised professional training for students. …”
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Computational characterization of modes of transcriptional regulation of nuclear receptor genes. by Yogita Sharma, Chandra Sekhar Reddy Chilamakuri, Marit Bakke, Boris Lenhard

“…We find that nuclear receptor genes involved in developmental roles show strong evidence of long-range mechanism of transcription regulation with distinct cis-regulatory content they feature clusters of highly conserved non-coding elements distributed in regions spanning several Megabases, long and multiple CpG islands, bivalent promoter marks and statistically significant higher enrichment of enhancer mark around their gene loci. …”
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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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