Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target by Fan Bu, Jifa Zhong, Ruiqian Guan

“…Machine learning methods, including Random Forest, Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine - Recursive Feature Elimination (SVM-RFE), were used for case-control differentiation, complemented by functional enrichment analysis and external validation of key genes.ResultsNinety-five commonly altered genes related to degenerative CNS diseases and GBM were identified, with RELN and GSTO2 emerging as significant through machine learning screening. …”
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Engineering and geological aspects in the museumification of architectural and archaeological monuments by K. A. Dubrovin, O. E. Vyazkova

“…Tourism is an important economic sector, attracting a large amount of people to historical sites, including architectural and archaeological monuments. …”
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Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data by He Bing, Xu Zhifeng, Xu Yangjie, Hu Jinxing, Ma Zhanwu

“…Finally, we add semantic function vectors to the dataset and train a graph convolutional network to learn the spatial and temporal dependencies of road links. …”
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Structural Damage Detection in the Wooden Bridge Using the Fourier Decomposition, Time Series Modeling and Machine Learning Methods by Younes Nouri, Farzad Shahabian, Hashem Shariatmadar, Alireza Entezami

“…This method encompasses the Fourier decomposition method that decompose the response of the bridge into a sequence of Fourier Intrinsic Band Functions (FIBF). These functions comprise the responses of the structure that contain inherent information of structure as well as noise from the vibrations. …”
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Defining and Achieving Next-Generation Green Electronics: A Perspective on Best Practices Through the Lens of Hybrid Printed Electronics by Kealie Vogel, Sara Carniello, Valerio Beni, Akshat Sudheshwar, Nadia Malinverno, Yolanda Alesanco, Max Torrellas, Stephan Harkema, Margreet De Kok, Corne Rentrop, Ignacio Zurano Villasuso, Lou Bernard, Enrique Moliner, Christian Rein, Yves Bayon, Zulfiqur Ali, Carolin Zachaus, Nicolas Gouze, Marie Berthuel, Cristina Gonzalez Buch, Fruela Perez Sanchez, Claudia Som

“…Given the absence of a widely accepted definition of what makes electronics truly “green,” the most critical aspects are clarified to support the development of a common, unified definition: Electronicsthat, when measured against their alternatives over their whole lifecycle and value chain,have a reduced environmental impact in terms of greenhouse gas emissions, toxicity, and resource depletion and avoid burden shifting from one impact to another or along the value chain, while fulfilling a given function. …”
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Application of Predictive Modeling and Molecular Simulations to Elucidate the Mechanisms Underlying the Antimicrobial Activity of Sage (<i>Salvia officinalis</i> L.) Components in... by Dajana Vukić, Biljana Lončar, Lato Pezo, Vladimir Vukić

“…These findings underscore the value of integrating molecular modeling and machine learning approaches for the identification of bioactive compounds in functional food systems.…”
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First-Principles Study on the Elastic Constants and Structural and Mechanical Properties of 30° Partial Dislocation in GaAs by Huili Zhang, Qiannan Gao, Defang Lu, Yunchang Fu, Lumei Tong

“…The dislocation width is very narrow (only about one-fifth of Burgers vector b), which is reasonable for covalent materials. …”
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Human Capital in Industry 4.0. Present and Future by O. N. Rimskaya, I. V. Anokhov, V. S. Kranbikhler

“…Training, in addition to professional sectoral knowledge, should be directed towards the development of digital competences and future metanautics. …”
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Economic feasibility, perception of farmers, and environmental sustainability index of sorghum-eucalyptus agroforestry by . Komalawati, S. Hidayat, R.H. Praptana, M.D. Pertiwi, A.S. Romdon, Y. Hidayat, R.P. Ramadhan, D. Yuniati, . Saptana, . Syahyuti, N. Khaririyatun, S. Ika, R.K. Jatuningtyas, . Subiharta, R.N. Hayati, S. Sudarto, M.P. Yufdy, B. Nuryanto, A. Prasetyo

“…The inclusion of the community, government, and private sector was unequal in carrying out the sustainability function of each dimension. …”
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Strategic mapping of iterative technology development based on modular analysis of modification quality indicators by M. N. Mityagina, S. V. Murashova

“…To offset the degradation of engineering facilities, it is necessary to initiate innovative processes aimed at adding value to the product. Innovation is based on a target vector or strategy that describes the operations and resources needed to achieve a planned result. …”
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Redefining the role of Learning Development practitioners by Steve Briggs

“… At a time when higher education (HE) sector funding is reported to be ever more perilous (Simons and Lister, 2024; Wareing, 2024) and means of making savings may need to be enacted at universities, it is essential that the unique role and impact of Learning Development (LD) practitioners is clearly understood by decision makers, for only then will it be valued and resourced. …”
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The Model of Managing Organizational Motivation Factors in the Development of Individual Innovation (Case Study: Four Companies in Mashad Toos Industrial City) by ٍEhsan Lotfi, Saeed Aibaghi Isfahani

“…These methods could be found at different levels: personnel, project teams, and the organization.Originality/Value: Based on this study, it can be said that using skills and abilities in performing job tasks and promoting functional innovation is effective.…”
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SWISS-MODEL OF MANAGERIAL CULTURE AS THE BASIS FOR FORMING THE COMPETENCE MODEL OF A MODERN MANAGER IN HEALTHCARE by O. A. Strakhova, E. V. Sheppli

“…The existing contradictions in the management and regulatory system of healthcare as a sector of economy, the protracted reforms, the unbalanced model of healthcare system lead to the search of new managerial mechanisms. …”
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Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis by Zhenjie Sun, Tianyu Du, Guosheng Yang, Yinghuan Sun, Xuyang Xiao

“…However, further experimental verification is required to assess its practical value for NSCLC and other lung cancer subtypes before clinical application.…”
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Orthodox Monasteries as Centers of Christian Civilization on the Eastern Borders of the Russian State by Inna I. Yurganova

“…The special role of monasteries in the history of the region is justified, due to the territorial and climatic conditions, the multi-confessional and multilingual nature of Siberia, when a few monks performed various functions, engaged in missionary, socio-educational and educational activities. …”
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Statistical contextual explanation of quantum paradoxes by Marian Kupczynski

“…To explain these, we advocate the statistical contextual interpretation (SCI) of quantum mechanics. State vectors (wave functions) and various operators are purely mathematical entities that permit quantitative probabilistic predictions. …”
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Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…These are incorporated to accurately represent frequency relationship within circuit characteristics as well as dependencies between its dimensions and outputs considered as vector-valued functions parameterized by frequency. …”
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Crow Search Algorithm for MEMS Gyroscope Temperature Drift Signal and Processing for Denoising by Xichen Wang, Huiliang Cao, Xiaomin Duan

“…Third, for the filtering of the drift part, the least square support vector machine optimized by the crow search algorithm (CSA-LSSVM) was used to filter, so as to reduce the effect of temperature drift. …”
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Leveraging deep learning for robust EEG analysis in mental health monitoring by Zixiang Liu, Juan Zhao

“…Moreover, the EEG Mind-Transformer not only pushes the boundaries of state-of-the-art EEG-based mental health monitoring but also offers meaningful insights into the underlying brain functions associated with mental disorders, solidifying its value for both research and clinical settings.…”
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The Formation of the Crimean Tatar Li­terary Language Based on the Urban Koine of Bakhchisaray in the seventeenth and eigh­teenth century by Rustemov O.D, Stepanov E.N.

“…This time was the last stage of the fully functioning Crimean language before the Crimean Khanate lost its independence totally (1783). …”
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