Analysis of MSTAR Object Classification Features Extracted by a Deep Convolutional Neural Network by I. F. Kupryashkin

“…Deep convolutional neural networks are effective tools for classifying objects on radar images; however, their decision-making process is not transparent. …”
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Added value of 3D fast-field-echo (FRACTURE) sequences for cervical spondylosis diagnosis: a prospective multi-reader non-inferiority study by Qizheng Wang, Xiaoying Xing, Zixian Zhang, Xiaoxi Ji, Shipei He, Yuxin Yang, Jiajia Xu, Qiang Zhao, Ning Lang

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Coherent Spectral Feature Extraction Using Symmetric Autoencoders by Archisman Bhattacharjee, Pawan Bharadwaj

“…While rich in spectral information, various complexities, such as environmental conditions, material properties, and sensor characteristics can cause significant variability even among pixels belonging to the same material class. …”
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Advanced stress imaging in periodically strained, suspended, quasi-2D membranes: Manifestation of Fano resonance and phonon dynamics insights by Souvik Bhattacharjee, Biswajit Das, Anibrata Banerjee, Kalyan Kumar Chattopadhyay

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Effect of the dynamic curve type from the perifocal infiltration zone obtained by magnetic resonance imaging on prognosis in pelvic pathologies in women by T. A. Bergen, V. A. Fokin, G. E. Trufanov, A. V. Smagina, I. A. Soynov

“…The aim of the study is to evaluate the role and prognostic significance of magnetic resonance imaging (MRI) perfusion methods in prognosis of disease course and outcome based on evaluation of the perifocal infiltration zone in pelvic disorders in women.Materials and methods. …”
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AI-Driven Comprehensive SERS-LFIA System: Improving Virus Automated Diagnostics Through SERS Image Recognition and Deep Learning by Shuai Zhao, Meimei Xu, Chenglong Lin, Weida Zhang, Dan Li, Yusi Peng, Masaki Tanemura, Yong Yang

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Imaging techniques for diffuse myocardial fibrosis as a marker of high cardiovascular risk in young patients with type 1 diabetes mellitus by Oksana I. Vengrzhinovskaya, Irina Z. Bondarenko, Olga A. Shatskaia, Natalia V. Tarbaeva, Anastasya Iu. Korneluk, Victor Iu. Kalashnikov, Marina V. Shestakova, Natalia G. Mokrysheva

“…Prolonged preclinical changes precede the development of pathological processes in the CVS. One of the earliest manifestations of cardiovascular system dysfunction is myocardial remodeling. …”
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Microwave-Assisted Synthesis of N, S Co-Doped Carbon Quantum Dots for Fluorescent Sensing of Fe(III) and Hydroquinone in Water and Cell Imaging by Zhaochuan Yu, Chao Deng, Wenhui Ma, Yuqian Liu, Chao Liu, Tingwei Zhang, Huining Xiao

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Age-Related Differences in Visual Attention to Heritage Tourism: An Eye-Tracking Study by Linlin Yuan, Zihao Cao, Yongchun Mao, Mohd Hafizal Mohd Isa, Muhammad Hafeez Abdul Nasir

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Cryo‐X‐Ray Phase Contrast Imaging Enables Combined 3D Structural Quantification and Nucleic Acid Analysis of Myocardial Biopsies by Kan Yan Chloe Li, Petros Syrris, Anne Bonnin, Thomas A Treibel, Vishwanie Budhram‐Mahadeo, Hector Dejea, Andrew C Cook

“…Abstract Snap‐frozen biopsies serve as a valuable clinical resource of archival material for disease research, as they enable a comprehensive array of downstream analyses to be performed, including extraction and sequencing of nucleic acids. …”
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Millimeter-scale radioluminescent power for electronic sensors by Averal N. Kandala, Sinan Wang, Joseph E. Blecha, Yung-Hua Wang, Rahul K. Lall, Ali M. Niknejad, Youngho Seo, Michael J. Evans, Robert R. Flavell, Henry F. VanBrocklin, Mekhail Anwar

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Indium Imidazo[4,5,-<i>b</i>]porphyrins as Photocatalysts for Oxidation of Sulfides by Inna A. Abdulaeva, Mikhail A. Filatov, Azhar Kechiche, Alla Bessmertnykh-Lemeune

“…The composition and structure of the materials were studied using a combination of elemental analysis, various spectroscopic methods, gas adsorption measurements, and SEM imaging. …”
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La percepción de los docentes de Primaria sobre los materiales didácticos digitales musicales / Primary teachers' perception of digital musical didactic materials by Rosa María Vicente-Álvarez, Antía Cores-Torres, Jesús Rodríguez-Rodríguez

“…The dimensions under analysis refer to: assessment and teaching use regarding digital musical didactic materials. The results show, on the one hand, the need to improve the quality of didactic and musical materials in order to take full advantage of the potential related to image, music and movement to help students become the protagonist of the process teaching-learning, and on the other hand, the lack of initial and continuous training of teachers on the use of digital musical didactic materials. …”

Metallographic Spheroidization Rate Classification by Using Deep Learning by Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee

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Classification Analysis of Blended Copper Concentrate Tablet Combustion Behavior by High-speed Imaging of Suspended Combustion Test and Convolutional Neural Network by Shungo NATSUI, Yuko GOTO, Jun-ichi TAKAHASHI, Hiroshi NOGAMI

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Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithm. by Yoonjung Yoonie Joo, Jennifer A Pacheco, William K Thompson, Laura J Rasmussen-Torvik, Luke V Rasmussen, Frederick T J Lin, Mariza de Andrade, Kenneth M Borthwick, Erwin Bottinger, Andrew Cagan, David S Carrell, Joshua C Denny, Stephen B Ellis, Omri Gottesman, James G Linneman, Jyotishman Pathak, Peggy L Peissig, Ning Shang, Gerard Tromp, Annapoorani Veerappan, Maureen E Smith, Rex L Chisholm, Andrew J Gawron, M Geoffrey Hayes, Abel N Kho

“…Our aim was to identify genetic risk variants and clinical phenotypes associated with DD, leveraging multiple electronic health record (EHR) data sources of 91,166 multi-ancestry participants with a Natural Language Processing (NLP) technique.<h4>Materials and methods</h4>We developed a NLP-enriched phenotyping algorithm that incorporated colonoscopy or abdominal imaging reports to identify patients with diverticulosis and diverticulitis from multicenter EHRs. …”
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Short-Glass-Fiber Aspect Ratios in Polyamide-6 Composites: Homogenization and Deep Learning-Based Scanning Image-Microscope Segmentation Comparison by Evgenii Kurkin, Vladislava Chertykovtseva, Andry Sedelnikov, Evgenii Minaev, Ekaterina Kurkina, Andrey Gavrilov

“…The developed technology for preparing samples for SEM and automated image processing can be used to study other short-reinforced polymer composite materials. …”
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THE "LARGE BARYON PUMP OF THE EARTH" AS A NATURAL IMAGE OF THE "TREE OF LIFE" AND AN OBJECT OF ENVIRONMENTAL LAW, WHICH IS INTEGRATED WITH THE NATURAL ENVIRONMENT OF MAN by Mykhaylo O. Baymuratov, Volodymyr P. Ozhereliev

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Marine Microplastic Classification by Hyperspectral Imaging: Case Studies from the Mediterranean Sea, the Strait of Gibraltar, the Western Atlantic Ocean and the Bay of Biscay by Roberta Palmieri, Silvia Serranti, Giuseppe Capobianco, Andres Cózar, Elisa Martí, Giuseppe Bonifazi

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EFFICIENCY OF THE EXPLANATORY AND ILLUSTRATIVE METHOD IN THE COURSE OF TEACHING THERMODYNAMICS WITHIN THE CURRICULUM OF THE TRAINING OF BACHELORS MAJORING IN 184 MINING by Kozinets Inna, Trofymova Olena

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