An Enterprise-Naming Inspiration in the United States by Michael D. Sublett

“…This essay seeks to uncover the extent of the panhandle-naming phenomenon, trace panhandle namegiving back through time, and create a corpus of panhandle-named enterprises. Data collection tools involved standard online searches; Google’s predictive searching algorithm; business and nonprofit searching tools on the websites of the states’ secretaries of state; and several subscription databases, including Newspapers.com. …”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease by James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen

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A MODEL OF THE ENGLISH-UKRAINIAN SUB-CORPUS OF TEXTS OF NATO, UN AND WTO OFFICIAL AND BUSINESS DOCUMENTS by Yuliya I. Demyanchuk

“…The methodological potential of our research is based on the works of well-known Ukrainian and foreign scholars (V. …”
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Classification of diabetes mellitus disease at Rato Ebuh Hospital-Indonesia using the K-Nearest neighbors method based on missing value by Putro Sigit Susanto, Putra Moh Abdan Syakura, Fatah Doni Abdul, Asmara Yuli Panca, Fauzan Hermawan Bin, Rochman Eka Mala Sari, Rachmad Aeri

“…The aim of this research is to create a machine learning model that can detect diabetes early. …”
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Optimization of Medicinal Treatment of Patients with Glaucoma in Combination with Concurrent System Pathology. Part 1: Cardiovascular Pathology by A. N. Zhuravleva, M. V. Zueva, E. B. Shustov

“…The possibilities of neuroprotection of glaucoma optical neuropathy, as well as modern methods of electrophysiological research in the monitoring assessment of its effectiveness and the differential diagnosis, approaches to enhance the effectiveness of medications treatment with combined medications are analyzed in the article.…”
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Hybrid nanofluid flow around a circular cylinder: A coupled ANN and numerical study of MHD, bioconvection, and thermal radiation by Muhammad Fawad Malik

“…Water is used as the base fluid, and single-wall and multi-wall carbon nanotubes are combined to create a hybrid fluid. These nanoparticles' special qualities, in particular their remarkable heat conductivity is essential for several modern uses, such as electrical components, materials research, cancer therapy, refrigeration systems, and nanotechnology. …”
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Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch by Julian Estevez, Gorka Garate, Manuel Grana

“…In this paper we focus on innovative ways to introduce high school students to the fundamentals and operation of two of the most popular AI algorithms. We describe the elements of a workshop where we provide an academic use-create-modify scaffolding where students work on the Scratch partial coding of the algorithms so they can explore the behavior of the algorithm, gaining understanding of the underlying computational thinking of AI processes. …”
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Toward precision oncology in LUAD: a prognostic model using single-cell sequencing and WGCNA based on a disulfidptosis relative gene signature by Panpan Li, Han Zhang, Limin Sun, Xiaojuan Wu

“…Gene expression in single cell RNA sequencing (scRNA-seq) data was assessed using the AUcell algorithm. In the TCGA [LUAD] dataset, disulfidptosis-related enrichment scores were calculated using ssGSEA, and core gene sets were identified through the Weighted Gene Co-expression Network Analysis (WGCNA) algorithm. …”
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Ways to improve the diagnosis and treatment of interstitial lung disease associated with systemic sclerosis in the Siberian Federal District (materials of the advisory board of rhe... by L. I. Alekseeva, S. A. Terpigorev, E. V. Zonova, L. M. Kudelya, N. M. Babadaeva, A. V. Teteneva, A. A. Kondrashov, D. N. Orlov, T. V. Raskina, O. N. Anoshenkova, Yu. P. Chasovskikh, T. V. Kropotina, A. B. Opongosheva, N. V. Yudina, N. G. Ganyukova

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A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study by Lingfeng Zhang, Gang Xie, Yue Zhang, Yue Zhang, Junlin Li, Junlin Li, Wuli Tang, Wuli Tang, Ling Yang, Ling Yang, Kang Li

“…PurposeThis research aimed to create a machine learning model for clinical-radiomics that utilizes unenhanced computed tomography images to assess the likelihood of malignant cerebral edema (MCE) in individuals suffering from acute ischemic stroke (AIS).MethodsThe research included 179 consecutive patients with AIS from two different hospitals. …”
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An Analysis of the Vocational-Educational Problematics for Substantiating Production Specialist Competencies by V. E. Steinberg, L. V. Vakhidova, E. M. Gabitova

“…The methodology was designed for the differentiation, specification and justification of relevant specialised competencies, which complement universal and general professional competencies documented in educational standards.Methodology and research methods. …”
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Psychogenic overeating: problems of classification, diagnosis, approaches to psychotherapy (literature review) by T. A. Karavaeva, M. V. Fomicheva

“…In the article, we analyze the diagnosis of psychogenic overeating (ICD-10), consider the problem of its diagnostic criteria, similarities and differences with the diagnosis of binge-eating disorder (DSM-V), which complicate the work of researchers. We are looking at the need to differentiate the different types of binge eating disorder. …”
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Machine-learning aided calibration and analysis of porous media CFD models used for rotating packed beds by Ahmed M. Alatyar, Abdallah S. Berrouk

“…The proposed research is an attempt to advance the state-of-the-art of the numerical modelling of RPB by combining Computational Fluid Dynamics and Machine Learning approaches. …”
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Semi-Implicit Numerical Integration of Boundary Value Problems by Maksim Galchenko, Petr Fedoseev, Valery Andreev, Endre Kovács, Denis Butusov

“…The numerical solution to boundary differential problems is a crucial task in modern applied mathematics. …”
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A Macroscopic Exploration of the Ideoscape on Exosomes for Bone Regeneration by Maria Teresa Colangelo, Marco Meleti, Stefano Guizzardi, Carlo Galli

“…This study uses infometric techniques to explore the structure of exosome-based tissue and bone regeneration research. <b>Methods:</b> We applied BERTopic, an advanced topic modeling algorithm, to a comprehensive corpus of the scientific literature on exosomes and tissue regeneration, identifying key themes such as stem cell studies, tissue healing, and regenerative applications, with orthopedics and dentistry emerging as dominant subfields. …”
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Enhancing Visual Perception in Sports Environments: A Virtual Reality and Machine Learning Approach by Taiyang Wang, Peng Luo, Sihan Xia

“…Understanding how environmental factors and emotional experiences influence sports perceptions is essential for advancing public health research and guiding optimal design interventions. …”
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Digital Synthesis of Sound Generated by Tibetan Bowls and Bells by Andrzej GOŁAŚ, Roman FILIPEK

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Comparison of light gradient boosting and logistic regression for interactomic hub genes in Porphyromonas gingivalis and Fusobacterium nucleatum-induced periodontitis with Alzheime... by Pradeep Kumar Yadalam, Shubhangini Chatterjee, Prabhu Manickam Natarajan, Carlos M. Ardila, Carlos M. Ardila

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DANGO: An MS data annotation tool for glycolipidomics by Masaaki Matsubara, Mayumi Ishihara, Michael Tiemeyer, Kazuhiro Aoki, René Ranzinger

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Analysing Time Series of Land Subsidence in the West of Tehran Province (Shahriar Plain) and its Relation to Groundwater Discharge by InSAR Technique by Ramin Papi, ُSara Attarchi, Masoud Soleimani

“…The Small BAseline Subset (SBAS) algorithm was applied to analyze the time series of land surface displacement and to generate the mean displacement velocity map. …”
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