The European Physical Journal Special Topics最新文献_第5页

Investigating the rate of $$^{10}$$ Be(n, $$gamma$$ ) $$^{11}$$ Be radiative capture reaction within the FRDWBA framework 在 FRDWBA 框架内研究 $$^{10}$ Be(n, $$gamma$) $$^{11}$ Be 辐射俘获反应的速率

The European Physical Journal Special Topics Pub Date : 2024-08-12 DOI: 10.1140/epjs/s11734-024-01279-z

M. Dan, Shubhchintak, G. Singh, V. Choudhary, Jagjit Singh

引用次数: 0

The $$^7textrm{Be}$$ destruction reactions and the cosmological lithium problem $$^7textrm{Be}$ 破坏反应和宇宙学锂问题

The European Physical Journal Special Topics Pub Date : 2024-08-12 DOI: 10.1140/epjs/s11734-024-01277-1

D. Gupta

引用次数: 0

Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation 关于使用基于人工智能的方法和工具治疗精神疾病和精神康复的综述

The European Physical Journal Special Topics Pub Date : 2024-08-12 DOI: 10.1140/epjs/s11734-024-01289-x

Vladimir Khorev, Anton Kiselev, Artem Badarin, Vladimir Antipov, Oxana Drapkina, Semen Kurkin, Alexander Hramov

{"title":"Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation","authors":"Vladimir Khorev, Anton Kiselev, Artem Badarin, Vladimir Antipov, Oxana Drapkina, Semen Kurkin, Alexander Hramov","doi":"10.1140/epjs/s11734-024-01289-x","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01289-x","url":null,"abstract":"<p>This review provides a thorough examination of recent developments in artificial intelligence analysis methods within mental and psychiatry field. By analyzing and comparing results obtained with various tools and techniques, we provide a comprehensive and systematic understanding of applications. Our main methods include meta-analysis, search queries with the keywords and network-based approach. In our analysis, we observed that terms associated with robotics, human–computer interaction, speech perception, and certain applications, such as chronic fatigue syndrome and psychological adaptation, have been gradually losing prominence. And conversely, techniques such as deep learning, virtual reality, and virtual assistance are gaining traction, and increasing interest was noted for applications involving autistic spectrum disorders, mild cognitive impairments, and psychiatric research areas. The structured and organized presentation of information, along with the accompanying visualizations and diagrams, makes it a valuable resource for scientists and researchers working in the domains of artificial intelligence.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141940041","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}

引用次数: 0

Short-term sleep deprivation: considering brain rhythm coordination in the context of an integrated neural network 短期睡眠剥夺：在综合神经网络中考虑大脑节律的协调性

The European Physical Journal Special Topics Pub Date : 2024-08-12 DOI: 10.1140/epjs/s11734-024-01286-0

G. A. Guyo, O. N. Pavlova, A. N. Pavlov

引用次数: 0

Convergence of BDF2-Galerkin finite element scheme for cancer invasion model 癌症侵袭模型的 BDF2-Galerkin 有限元方案的收敛性

The European Physical Journal Special Topics Pub Date : 2024-08-12 DOI: 10.1140/epjs/s11734-024-01272-6

S. Angelin Shena, J. Manimaran, K. Sethukumarasamy, L. Shangerganesh

引用次数: 0

Error-aware CNN improves automatic epileptic seizure detection 误差感知 CNN 提高了癫痫发作自动检测能力

The European Physical Journal Special Topics Pub Date : 2024-08-12 DOI: 10.1140/epjs/s11734-024-01292-2

Vadim Grubov, Sergei Nazarikov, Nikita Utyashev, Oleg E. Karpov

{"title":"Error-aware CNN improves automatic epileptic seizure detection","authors":"Vadim Grubov, Sergei Nazarikov, Nikita Utyashev, Oleg E. Karpov","doi":"10.1140/epjs/s11734-024-01292-2","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01292-2","url":null,"abstract":"<p>Automated seizure detection is a major challenge in the context of epilepsy diagnostics. There are numerous approaches to this task, but most of them share the same problem—the trade-off between recall and precision, i.e. decent recall is often accompanied by low precision. This ultimately leads to a high number of false positive seizure detections, which in its turn impede automated diagnostics. The purpose of this study is to develop a method to lower the number of false positive predictions in seizure detection task when applied to real EEG recordings. We propose the cascade approach which combines the idea of iterative refinement algorithms and powerful neural networks. The method is tested on unrefined dataset, that includes EEG recordings of epileptic patients from the hospital. Time-frequency analysis based on continuous wavelet transform is used for EEG preprocessing and feature extraction. To provide predictions the approach implements convolutional neural networks. The proposed approach consists of two steps: in the first step a model is trained to provide initial predictions and then in the second step another model is trained with the knowledge of the first model’s errors. We evaluate the performance of the approach with the confusion matrix metrics adjusted to the specifics of the epilepsy diagnostics task. We show that the number of false positive predictions decreases by an order of magnitude with the use of the proposed method. We theorize about possible application of this approach within a clinical decision support system.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141940043","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}

引用次数: 0

Decreased brain functional connectivity is associated with faster responses to repeated visual stimuli 大脑功能连通性降低与对重复视觉刺激的反应速度加快有关

The European Physical Journal Special Topics Pub Date : 2024-08-09 DOI: 10.1140/epjs/s11734-024-01290-4

Anna Boronina, Vladimir A. Maksimenko, Artem Badarin, Vadim Grubov

引用次数: 0

Characterization of cross-correlations in electrocorticograms of anesthetized mice 麻醉小鼠皮层电图交叉相关的特征

The European Physical Journal Special Topics Pub Date : 2024-08-08 DOI: 10.1140/epjs/s11734-024-01288-y

V. V. Adushkina, A. N. Pavlov

引用次数: 0

Intermittent generalized synchronization in unidirectionally coupled systems with different topology of attractors 具有不同吸引子拓扑结构的单向耦合系统中的间歇广义同步性

The European Physical Journal Special Topics Pub Date : 2024-08-07 DOI: 10.1140/epjs/s11734-024-01284-2

Olga I. Moskalenko, Maria K. Kurovskaya, Alexey A. Koronovskii

引用次数: 0

Experimental study on coherent structures by small particles suspended in high aspect-ratio ( $$Gamma =$$ 2.5) thermocapillary liquid bridges of high Prandtl number 关于悬浮在高纵横比（$$Gamma =$$ 2.5）高普朗特数热毛细管液桥中的小颗粒相干结构的实验研究

The European Physical Journal Special Topics Pub Date : 2024-08-06 DOI: 10.1140/epjs/s11734-024-01180-9

Keiichiro Kato, Shogo Sensui, Shin Noguchi, Kizuku Kurose, Ichiro Ueno

引用次数: 0