A comprehensive analysis of gene expression and the immune landscape in gastric cancer through single-cell and multi-omics approaches by Tao Peng

“…We conducted temporal and clustering analyses with single-cell sequencing, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to clarify their functions. Using machine learning, we identified relevant genes to create highly accurate prediction models. …”
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The Face and number plate recognition for car anti-theft by Quoc Bao Truong, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, Huu Cuong Nguyen

“…It can also add new technologies with advanced functions making it a multi-functional management system. …”
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DEVELOPMENT OF SIAPAJAR AS A TECHNOLOGY-BASED SYSTEM FOR TEACHER ADMINISTRATION MANAGEMENT by Muh. Dliyaul Haq, Maria Dominika Niron, Kiki Sukinawan, Nugroho Prima Indra Jaya, Achmad Sjarifudin Zein

“…Data were gathered through Focus Group Discussions (FGDs) and questionnaires and then analyzed using descriptive quantitative methods to assess the application's design, functionality, and overall effectiveness. Findings – The results of this research are in the form of a teacher administration management application, SiapAjar, which can be accessed through web or mobile versions and includes features such as Effective Week Analysis, Annual Programs, Syllabus/Learning Objective Flow, Semester Programs, Lesson Plans, Teaching Journals, and Student Attendance Records. …”
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Digital Humanities as a Transdisciplinary Communication Paradigm in the Age of AI by Rusudan Makhachashvili, Ivan Semenist

“…The global digital realm stands as an integral environment, demanding new cognition and perception ways via complex philosophic, cultural, social, and linguistic approaches, providing unlimited opportunities for human intellect, communicative development, and research. The consequent functional tasks to meet this challenge in the educational sphere worldwide are estimated as 1) to adapt the existent educational scenarios to digital, remote and hybrid formats; 2) to upgrade e-competence and digital literacy of all stakeholders of the educational process and industry; 3) to activate complex interdisciplinary skillsets, otherwise latent or underutilized in the professional interaction; 4) to introduce functional technical solutions for facilitation of formal and informal educational workflow and communication. …”
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El desarrollo del pensamiento algebraico en niños de escolaridad primaria by Barbara Brizuela

“…These studies show the resources that children have to develop functional thinking and to use tables and notation for variables in algebraic contexts. …”
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Adam Algorithm with Step Adaptation by Vladimir Krutikov, Elena Tovbis, Lev Kazakovtsev

“…For the experimental analysis of the new algorithm, test functions of a certain degree of conditionality with interference on the gradient and learning problems with mini-batches for calculating the gradient were used. …”
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Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application by Zhenyu Wang, Zijian Cao, Zhiqiang Du, Haowen Jia, Binhui Han, Feng Tian, Fuxi Liu

“…Compared with some state-of-the-art intelligence algorithms on 15 functions of CEC2015, 28 functions of CEC2017, and parameter extraction problems of the photovoltaic model, ASDE has the advantages of solution accuracy, convergence speed, and robustness in solving black box problems with unknown features.…”
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The Face and number plate recognition for car anti-theft by Quoc Bao Truong, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, Huu Cuong Nguyen

“…It can also add new technologies with advanced functions making it a multi-functional management system. …”
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Semi-Automated Dataset Generation for Residential Buildings Using Graph-Based Topological Modelling by Angelo Massafra, Dania H. Al-Harasis, Lorenzo Stefanini, Wassim Jabi

“…The resulting dataset facilitates the analysis of floor spatial configurations and the extraction of geometric attributes, laying the foundation for future analyses that will integrate machine learning techniques for functional detection and typological clustering.…”
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ARSOD-YOLO: Enhancing Small Target Detection for Remote Sensing Images by Yijuan Qiu, Xiangyue Zheng, Xuying Hao, Gang Zhang, Tao Lei, Ping Jiang

“…Moreover, the Adaptive Multi-scale Convolution Kernel Feature Fusion Module (AKSFFM) enhances feature fusion through multi-scale convolution operations and attention weight learning mechanisms. Moreover, our proposed ARSOD-YOLO optimized the network architecture, component modules, and loss functions based on YOLOv8, enhancing outstanding small target detection capabilities while preserving model efficiency. …”
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Didactic strategy to contribute to the development of communicative competence in Health Psychology students by Ana María Molina Gómez, Angelina Roméu Escobar, Miriam Gutiérrez Escobar, María Elinor Dulzaides Iglesias

“…The amount of knowledge students have on grammatical contents and functionality of the structures in the text and their perception and the one from former teachers on the importance of grammatical knowledge and the way it is addressed were determined. …”
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LOTUS Software to Process Wearable EmbracePlus Data by Jack S. Fogarty

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Impact of malaria in pregnancy on infant neurodevelopment and malaria susceptibility during the first year of life in Kinshasa, the Democratic Republic of the Congo by Japhet Kabalu Tshiongo, Lise Kuseke, Thierry Kalonji, Patrick Mitashi, Aimée Mupuala, Kassoum Kayentao, Trésor Zola Matuvanga, Vivi Maketa Tevuzula, Yann Kafala, Henk D.F.H. Schallig, Hypolite Muhindo Mavoko, Petra F. Mens

“…Infant malaria incidence and neurological functioning were compared based on malaria exposure at delivery. …”
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Radiomic features of PET/CT imaging of large B cell lymphoma lesions predicts CAR T cell therapy efficacy by Yoganand Balagurunathan, Zhouping Wei, Jin Qi, Zachary Thompson, Erin Dean, Erin Dean, Hong Lu, Hong Lu, Saran Vardhanabhuti, Salvatore Corallo, Jung W. Choi, Jenny J. Kim, Mike Mattie, Michael Jain, Frederick L. Locke

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Adipose-Derived Mesenchymal Stem Cells Accelerate Diabetic Foot Ulcer Healing by Promoting Macrophage M2 Polarization Through Downregulation of EREG and CSTA by Cao J, Zhang X, Li Z, Zhang S, Guo L, Liu Z, An W, Xu L, Li L, Long X, Yang Y

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Asociación de la resistencia cardiorrespiratoria con rendimiento académico, concentración y comportamiento hiperactivo-desatento en escolares TDAH (Association of cardiorespiratory... by Sara Suárez Manzano, Alba Rusillo Magdaleno, Teresa Martínez Redecillas, Alberto Ruiz Ariza

“…It is concluded that, a higher level of CR is associated with lower hyperactive-impulsive behaviour in ADHD boys and higher academic performance in both sexes, independently of BMI and age of the schoolchildren. Keywords: learning, executive functions, physical fitness, hyperactivity, students …”
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Integration of Bulk and Single-Cell Transcriptomics Reveals BCL2L14 as a Novel IGKC+ T Cell-Associated Therapeutic Target in Breast Cancer by He J, Akhtar A, Li J, Wei Q, Yuan Y, Ran J, Ma Y, Chen D

“…Machine learning pinpointed BCL2L14, IGHD, MAPT-AS1, NT5DC4, and TNIP3 as key regulators of breast cancer progression in this subpopulation. …”
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About relevance of fundamentalisation of mathematical training of students of the pedagogical directions during the digital era by E. A. Perminov, D. D. Gadjiev, M. M. Abdurazakov

“…Against the background of progressively advanced mathematisation, which covers larger functional intellectual space, it is extremely important to provide the fundamental, advancing nature of mathematical training of students, including in the first place the students of the pedagogical directions. …”
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Multiple Hub Genes as Diagnostic and Therapeutic Targets Inducing Inflammation and Angiogenesis in Retinopathy of Prematurity by Du C, Tian Y, Liu Y, Shi Y, Chen X, Chai H, Zhang Y, Shen H, Zhang L

“…Hub genes were screened by three machine learning methods and validated by nomograms, ROC curves and qRT-PCR. …”
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Stochastic Block-Coordinate Gradient Projection Algorithms for Submodular Maximization by Zhigang Li, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qikun Zhang, Qingtao Wu

“…Moreover, we show that the proposed algorithm achieves the tight (pmin/2F⁎-ϵ) approximation guarantee after O(1/ϵ2) iterations for DR-submodular functions by choosing appropriate step sizes. Furthermore, we also show that the algorithm achieves the tight (γ2/1+γ2pminF⁎-ϵ) approximation guarantee after O(1/ϵ2) iterations for weakly DR-submodular functions with parameter γ by choosing diminishing step sizes.…”
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