Pub Date : 2024-04-09DOI: 10.1007/s10598-024-09598-5
A. Vasin, E. G. Agadzhanyan, I. Seregina
{"title":"A model of electricity market equilibrium with storages","authors":"A. Vasin, E. G. Agadzhanyan, I. Seregina","doi":"10.1007/s10598-024-09598-5","DOIUrl":"https://doi.org/10.1007/s10598-024-09598-5","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"103 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140725778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1007/s10598-024-09597-6
N. L. Grigorenko
{"title":"Correction to: Synthesis of motion control of a nonlinear system along a given spatial trajectory","authors":"N. L. Grigorenko","doi":"10.1007/s10598-024-09597-6","DOIUrl":"https://doi.org/10.1007/s10598-024-09597-6","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"12 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140745699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.1007/s10598-024-09593-w
Valeriy Ponamaryov, V. V. Kitov, V. A. Kitov
{"title":"Accounting for class hierarchy in object classification using Siamese neural networks","authors":"Valeriy Ponamaryov, V. V. Kitov, V. A. Kitov","doi":"10.1007/s10598-024-09593-w","DOIUrl":"https://doi.org/10.1007/s10598-024-09593-w","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"38 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140425517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.1007/s10598-024-09595-8
N. L. Grigorenko
{"title":"Case study of video compression via tensor train and Tucker decompositions","authors":"N. L. Grigorenko","doi":"10.1007/s10598-024-09595-8","DOIUrl":"https://doi.org/10.1007/s10598-024-09595-8","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"60 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140424410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-26DOI: 10.1007/s10598-024-09592-x
D. I. Razzhivina, D. Korshunov, M. A. Boguslavsky, A. Khvostikov, D. V. Sorokin
{"title":"Registration and segmentation of PPL and XPL images of geological polished sections containing anisotropic minerals","authors":"D. I. Razzhivina, D. Korshunov, M. A. Boguslavsky, A. Khvostikov, D. V. Sorokin","doi":"10.1007/s10598-024-09592-x","DOIUrl":"https://doi.org/10.1007/s10598-024-09592-x","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"95 S89","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140428974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1007/s10598-024-09591-y
N. Anoshina, D. V. Sorokin
{"title":"Single particle cryo-EM image registration based on Fourier–Bessel transform and fast Laguerre projection method","authors":"N. Anoshina, D. V. Sorokin","doi":"10.1007/s10598-024-09591-y","DOIUrl":"https://doi.org/10.1007/s10598-024-09591-y","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"133 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1007/s10598-024-09591-y
N. Anoshina, D. V. Sorokin
{"title":"Single particle cryo-EM image registration based on Fourier–Bessel transform and fast Laguerre projection method","authors":"N. Anoshina, D. V. Sorokin","doi":"10.1007/s10598-024-09591-y","DOIUrl":"https://doi.org/10.1007/s10598-024-09591-y","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"83 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.1007/s10598-024-09594-9
A. A. Kurilovich, S. A. Matveev
{"title":"Case study of video compression via tensor train and Tucker decompositions","authors":"A. A. Kurilovich, S. A. Matveev","doi":"10.1007/s10598-024-09594-9","DOIUrl":"https://doi.org/10.1007/s10598-024-09594-9","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139842228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-12DOI: 10.1007/s10598-024-09594-9
A. A. Kurilovich, S. A. Matveev
{"title":"Case study of video compression via tensor train and Tucker decompositions","authors":"A. A. Kurilovich, S. A. Matveev","doi":"10.1007/s10598-024-09594-9","DOIUrl":"https://doi.org/10.1007/s10598-024-09594-9","url":null,"abstract":"","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"4 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139782314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.32598/bcn.2021.1774.3
Seyed Amir Hossein Batouli, Foroogh Razavi, Minoo Sisakhti, Zeinab Oghabian, Haady Ahmadzade, Mehdi Tehrani Doost
Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with symptoms appearing from early childhood. Behavioral modifications, special education, and medicines are used to treat ASD; however, the effectiveness of the treatments depends on early diagnosis of the disorder. The primary approach in diagnosing ASD is based on clinical interviews and valid scales. Still, methods based on brain imaging could also be possible diagnostic biomarkers for ASD.
Methods: To identify the amount of information the functional magnetic resonance imaging (fMRI) reveals on ASD, we reviewed 292 task-based fMRI studies on ASD individuals. This study is part of a systematic review with the registration number CRD42017070975.
Results: We observed that face perception, language, attention, and social processing tasks were mainly studied in ASD. In addition, 73 brain regions, nearly 83% of brain grey matter, showed an altered activation between the ASD and normal individuals during these four tasks, either in a lower or a higher activation.
Conclusion: Using imaging methods, such as fMRI, to diagnose and predict ASD is a great objective; research similar to the present study could be the initial step.
{"title":"Examining the Dominant Presence of Brain Grey Matter in Autism During Functional Magnetic Resonance Imaging.","authors":"Seyed Amir Hossein Batouli, Foroogh Razavi, Minoo Sisakhti, Zeinab Oghabian, Haady Ahmadzade, Mehdi Tehrani Doost","doi":"10.32598/bcn.2021.1774.3","DOIUrl":"10.32598/bcn.2021.1774.3","url":null,"abstract":"<p><strong>Introduction: </strong>Autism spectrum disorder (ASD) is a neurodevelopmental disorder with symptoms appearing from early childhood. Behavioral modifications, special education, and medicines are used to treat ASD; however, the effectiveness of the treatments depends on early diagnosis of the disorder. The primary approach in diagnosing ASD is based on clinical interviews and valid scales. Still, methods based on brain imaging could also be possible diagnostic biomarkers for ASD.</p><p><strong>Methods: </strong>To identify the amount of information the functional magnetic resonance imaging (fMRI) reveals on ASD, we reviewed 292 task-based fMRI studies on ASD individuals. This study is part of a systematic review with the registration number CRD42017070975.</p><p><strong>Results: </strong>We observed that face perception, language, attention, and social processing tasks were mainly studied in ASD. In addition, 73 brain regions, nearly 83% of brain grey matter, showed an altered activation between the ASD and normal individuals during these four tasks, either in a lower or a higher activation.</p><p><strong>Conclusion: </strong>Using imaging methods, such as fMRI, to diagnose and predict ASD is a great objective; research similar to the present study could be the initial step.</p>","PeriodicalId":55875,"journal":{"name":"Computational Mathematics and Modeling","volume":"16 1","pages":"585-604"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11016874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73792925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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