检索结果-内蒙古大学图书馆

21st Scientific Conference on Medical and Sport Technologies, 2024

作者： Nowakowska-Lipiec, Katarzyna Sośniak, Paulina Zadoń, Hanna Jochymczyk-Woźniak, Katarzyna Bibrowicz, Karol Szurmik, Tomasz Mitas, Andrzej W. Michnik, Robert Department of Biomechatronics Faculty of Biomedical Engineering Silesian University of Technology Roosevelta 40 Zabrze41-800 Poland Faculty of Biomedical Engineering Students Scientific Circle "Biokreatywni" Silesian University of Technology Zabrze Poland Science and Research Center of Body Posture College of Education and Therapy in Poznań Poznań Poland Faculty of Arts and Educational Science University of Silesia Cieszyn Poland Department of Medical Informatics and Artificial Intelligence Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland

ISBN: (纸本)9783031821424

This study aimed to evaluate the effect of body posture type according to the Dolphens on musculoskeletal loads. There are three types of posture: neutral, swayback and lordotic according to Dolphens classification. The study involved a group of 29 subjects. Assessment of body posture was carried out using the Posture Photographic Assessment System. The following parameters were measured for each subject: pelvic tilt angle, lumbosacral and thoracolumbar tilt, upper kyphosis tilt angle. The position of the joints and individual body segments in relation to the vertical axis, the position of the centre of mass of the body and the values of the ground reaction forces were determined. The results obtained provided the input for the modelling of the posture of each person in the AnyBody Modelling System. A full-body Standing Model was used. The model was scaled to the weight and height of each subject. The highest values of lumbar loads were observed in subjects with a kyphotic posture. For those with a kyphotic posture, the average resultant force at the L5-S1 level was 0.97 ± 0.31 BW (BW - body weight). For those with a lordotic posture it was 0.87 ± 0.27 BW and for those with a neutral posture it was 0.86 ± 0.15 BW. Subjects with a kyphotic posture had the highest values for the compressive component of the force at the L5-S1 joint (0.96 ± 0.31 BW). The highest shear force values were obtained for the lordotic posture (0.1 ± 0.04 BW). The study also assessed the force values of the abdominal and dorsal muscles. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Physiological models

来源：评论

学校读者我要写书评

暂无评论

Enhancing Genomic Data Representation Through BERT-LSTM Hybrid Architecture

引用

IEEE Access 2025年 13卷 76497-76507页

作者： Ho Kim, Kyeong Kim, Minji Kim, Sohui Lee, Jong-Min Hanyang University Department of Artificial Intelligence Seoul04763 Korea Republic of University of Southern California USC Stevens Neuroimaging and Informatics Institute Keck School of Medicine of USC Los AngelesCA90033 United States Hanyang University Department of Electronic Engineering Seoul04763 Korea Republic of Hanyang University Department of Biomedical Engineering Seoul04763 Korea Republic of

This study proposes a novel approach for effective genetic sequence representation, focusing on the challenges of compressing and analyzing complex genomic data. We introduce a hybrid architecture that combines Bidirectional Encoder Representations from Transformers (BERT) with Long Short-Term Memory (LSTM) networks to generate comprehensive and compact gene embeddings. Our method processes genetic sequence data through k-mer tokenization and employs BERT to capture complex patterns, followed by LSTM to preserve essential sequential information while creating fixed-size representations. Using data from 623 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, we analyzed genetic sequences across 10 genes to evaluate our approach. The effectiveness of our method is demonstrated through both visualization and quantitative evaluation. The t-distributed stochastic neighbor embedding (t-SNE) visualization revealed improved clustering of gene embeddings compared to traditional approaches, while our model achieved 82% accuracy in gene classification tasks. Our findings indicate that the combination of BERT and LSTM effectively captures both local and global genetic patterns while creating meaningful compressed representations, providing a promising framework for genetic sequence analysis. © 2013 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Cycle-conditional diffusion model for noise correction of diffusion-weighted images using unpaired data

引用

Medical Image Analysis 2025年 103卷

作者： Zhu, Pengli Liu, Chaoqiang Fu, Yingji Chen, Nanguang Qiu, Anqi Department of Health Technology and Informatics Hong Kong Polytechnic University Hong Kong Department of Biomedical Engineering National University of Singapore Singapore Department of Biomedical Engineering the Johns Hopkins University United States

Diffusion-weighted imaging (DWI) is a key modality for studying brain microstructure, but its signals are highly susceptible to noise due to the thermal motion of water molecules and interactions with tissue microarchitecture, leading to significant signal attenuation and a low signal-to-noise ratio (SNR). In this paper, we propose a novel approach, a Cycle-Conditional Diffusion Model (Cycle-CDM) using unpaired data learning, aimed at improving DWI quality and reliability through noise correction. Cycle-CDM leverages a cycle-consistent translation architecture to bridge the domain gap between noise-contaminated and noise-free DWIs, enabling the restoration of high-quality images without requiring paired datasets. By utilizing two conditional diffusion models, Cycle-CDM establishes data interrelationships between the two types of DWIs, while incorporating synthesized anatomical priors from the cycle translation process to guide noise removal. In addition, we introduce specific constraints to preserve anatomical fidelity, allowing Cycle-CDM to effectively learn the underlying noise distribution and achieve accurate denoising. Our experiments conducted on simulated datasets, as well as children and adolescents’ datasets with strong clinical relevance. Our results demonstrate that Cycle-CDM outperforms comparative methods, such as U-Net, CycleGAN, Pix2Pix, MUNIT and MPPCA, in terms of noise correction performance. We demonstrated that Cycle-CDM can be generalized to DWIs with head motion when they were acquired using different MRI scannsers. Importantly, the denoised DWI data produced by Cycle-CDM exhibit accurate preservation of underlying tissue microstructure, thus substantially improving their medical applicability. © 2025 The Authors

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

Investigating the correlation between smoking and blood pressure via photoplethysmography

引用

biomedical engineering Online 2025年第1期24卷 1-22页

作者： Qananwah, Q. Quran, H. Dagamseh, A. Blazek, V. Leonhardt, S. Department of Biomedical Systems and Informatics Engineering Hijjawi Faculty for Engineering Technology Yarmouk University Irbid Jordan Department of Electronics Engineering Hijjawi Faculty for Engineering Technology Yarmouk University Irbid Jordan Helmholtz-Institute for Biomedical Engineering RWTH Aachen University Aachen Germany

Smoking has been widely identified for its detrimental effects on human health, particularly on the cardiovascular health. The prediction of these effects can be anticipated by monitoring the dynamic changes in vital signs and other physiological signals or parameters such as heart rate, blood pressure (BP), Electrocardiogram (ECG), and Photoplethysmogram (PPG), which subtly encode smoking-related effects. We investigated the influence of different smoking habits—normal cigarettes (NC), electronic cigarettes (EC), and shisha (SH)—on BP through analysis of ECG and PPG signals. The measurements of these physiological signals were taken across three distinct smoking phases: "before", "during", and "after" smoking. The study assessed changes in heart rate, as well as morphological and statistical characteristics of ECG and PPG signals, induced by smoking. A machine learning (ML) model was developed to predict BP values with different smoking habits and smoking phases, while also evaluating the temporal effects of smoking phases. Results show that smoking markedly alters PPG features in such it significantly affects systolic time, heart rate, peak pulse interval variability, and augmentation index. BP variations were evident across all smoking habits and phases. The ML model demonstrated strong accuracy in estimating systolic blood pressure (SBP) and diastolic blood pressure (DBP) during and post-smoking, with a mean error of 0.01 ± 0.29 mmHg and a root mean square error (RMSE) of 0.2924 mmHg for DBP and RMSE of 0.0082 mmHg for SBP. Such a study underscores the pronounced effect of smoking on BP and its potential role in cardiovascular system alterations, offering insights into the development of related diseases. © The Author(s) 2025.

关键词： Plasma (human)

来源：评论

学校读者我要写书评

暂无评论

Comparison of Machine Learning Methods for Air Quality Prediction Based on Particulate Matter (PM2.5)

Comparison of Machine Learning Methods for Air Quality Predi...

引用

2025 International Conference on Advancement in Data Science, E-learning and Information System, ICADEIS 2025

作者： Mar'i, Farhanna Marianingsih, Susi Abdillah, Rifqi Elfaiz, Ersha Aisyah Setyo Prayoga, Riza Akhsani Fahmi, Muhamad Universitas Negeri Surabaya Faculty of Engineering Department of Informatics Engineering Surabaya Indonesia Jayapura University of Science and Technology Department of Information System Jayapura Indonesia Universitas Negeri Surabaya Faculty of Engineering Department of Information Technology Education Surabaya Indonesia Universitas Airlangga Faculty of Science and Technology Department of Biomedical Engineering Surabaya Indonesia

ISBN: (纸本)9798331513320

Particulate PM2.5 has a major effect on human health compared to other types of pollutants such as NO2, 03, CO, and SO2. PM2.5 is the worst type of major pollutant for human health that can cause various types of serious diseases and even death. PM2.5 is defined as an ambient air particle, which is one of the particle elements found in the free air of the earth's surface in the troposphere layer, which is very small in size, reaching 2.5 pollutants. The method of predicting air quality index values can be done using machine learning techniques with time series data analysis. This study will compare machine learning methods with two approaches, namely statistical regression with RF and ARIMA and deep learning method, namely LSTM. Based on the research results, the best machine learning method approach is statistical regression, namely the RF method with accuracy evaluation using RMSE, MAE, and MSE, which are respectively with a minimum value of 0.162, 0.108, and 0.026, followed by the LSTM and ARIMA methods. © 2025 IEEE.

关键词： Polycyclic aromatic hydrocarbons

来源：评论

学校读者我要写书评

暂无评论

The Intersection of Genetics and Neuroimaging: A Systematic Review of Imaging Genetics in Neurological Disease for Personalized Treatment

引用

Journal of Molecular Neuroscience 2025年第2期75卷 1-26页

作者： Mashhour, Mahinaz A. Youssef, Ibrahim Wahed, Manal Abdel Mabrouk, Mai S. Biomedical Engineering Department Misr University for Science and Technology Giza Egypt Systems and Biomedical Engineering Department Cairo University Giza Egypt Center for Informatics Science (CIS) School of Information Technology and Computer Science Nile University Giza Egypt

Imaging genetics is one of the important keys to precision medicine that leads to personalized treatment based on a patient’s genetics, phenotype, or psychosocial characteristics. It deepens the understanding of the mechanisms through which genetic variations contribute to neurological and psychiatric disorders. This systematic review overviews the methods and applications of imaging genetics in the context of neurological diseases, mentioning its potential role in personalized medicine. Following PRISMA guidelines, this review systematically analyzes 28 studies integrating genetic and neuroimaging data to explore disease mechanisms and their implications for precision medicine. Selected research included multiple neurological disorders, including frontotemporal dementia, Alzheimer’s disease, bipolar disorder, schizophrenia, Parkinson’s disease, and others. Voxel-based morphometry was the most common imaging technique, while frequently examined genetic variants included APOE, C9orf72, MAPT, GRN, COMT, and BDNF. Associations between these variants and regional gray matter loss (e.g., frontal, temporal, or subcortical regions) suggest that genetic risk factors play a key role in disease pathophysiology. Integrating genetic and neuroimaging analyses enhances our understanding of disease mechanisms and supports advancements in precision medicine. © The Author(s) 2025.

关键词： Imaging genetics Neurological diseases Precision medicine Radiogenomics Voxel-based morphometry

来源：评论

学校读者我要写书评

暂无评论

Investigation of the Dependence of the Superconducting Critical Temperature of HG-1201 on the Crystal Lattice c/a Ratio Under Ambient and High-Pressure Conditions

引用

Brazilian Journal of Physics 2025年第4期55卷 1-7页

作者： Ahadov, Abdullo Dzhuraev, Davron Department of Physics Bukhara State University Bukhara Uzbekistan Department of Biomedical Engineering Biophysics and Informatics Bukhara State Medical Institute Bukhara Uzbekistan

Increasing the critical temperature of superconducting materials, particularly the goal of achieving room temperature, remains one of the significant challenges in the field. Addressing this challenge requires a comprehensive understanding of the factors influencing critical temperature. Specifically, it is hypothesized that increasing the interlayer distance between CuO2 planes, along with a corresponding reduction in the surface area of these planes or an increase in the c/a ratio of the crystal lattice constants, could elevate the critical temperature of high-temperature cuprate superconductors. In this study, we investigate the relationship between critical temperature and the c/a ratio at various doping levels of the single CuO2 layer cuprate superconductor HgBa2CuO4+δ (Hg-1201), which exhibits the highest known critical temperature, under both atmospheric and high-pressure conditions. Our results indicate no significant correlation between critical temperature and the c/a ratio under atmospheric pressure. However, under applied external pressure, we show a generally decreasing critical temperature as a function of the c/a ratio. These findings suggest that parameters related to the CuO2 planes in Hg-1201 and other high-temperature cuprate superconductors are insufficient to explain the variations in critical temperature. Furthermore, we conclude that charge reservoirs, carrier dynamics, and inter-electronic orbital interactions significantly influence the fluctuations in critical temperature. © The Author(s) under exclusive licence to Sociedade Brasileira de Física 2025.

关键词： Charge reservoirs CuO2 planes Hg-1201 HgBa2Can-1CunO2n+2+δSuperconductors Tc(c/a)Relationship The c/a ratio of the crystal lattice constants

来源：评论

学校读者我要写书评

暂无评论

Indoor Localization Using Multi-Bluetooth Beacon Deployment in a Sparse Edge Computing Environment

Digital Twins and Applications

引用

Digital Twins and Applications 2025年第1期2卷 49-56页

作者： Soheil Saghafi Yashar Kiarashi Amy D.Rodriguez Allan I.Levey Hyeokhyen Kwon Gari D.Clifford Department of Biomedical Informatics School of MedicineEmory UniversityAtlantaGeorgiaUSA Department of Neurology School of MedicineEmory UniversityAtlantaGeorgiaUSA Department of Biomedical Engineering Emory University and Georgia Institute of TechnologyAtlantaGeorgiaUSA

Bluetooth low energy(BLE)-based indoor localization has been extensively researched due to its cost-effectiveness,low power consumption,and *** these advantages,the variability of received signal strength indicator(RSSI)measurements,influenced by physical obstacles,human presence,and electronic interference,poses a significant challenge to accurate *** this work,we present an optimised method to enhance indoor localization accuracy by utilising multiple BLE beacons in a radio frequency(RF)-dense modern building *** a proof-of-concept study,we demonstrate that using three BLE beacons reduces localization error from a worst-case distance of 9.09-2.94 m,whereas additional beacons offer minimal incremental benefit in such ***,our framework for BLE-based localization,implemented on an edge network of Raspberry Pies,has been released under an open-source license,enabling broader application and further research.

关键词： ambient health monitoring bluetooth low energy cloud computing edge computing indoor localization

来源：评论

学校读者我要写书评

暂无评论

Interactive-Time Text-Guided Editing of 3D Face 27th

Interactive-Time Text-Guided Editing of 3D Face

引用

27th International Conference on Pattern Recognition, ICPR 2024

作者： Lee, Yeon-Jeong Song, Yeong-Hun Yoo, Sang Wook Seong, Joon-Kyung Department of Artificial Intelligence College of Informatics Korea University Seoul02841 Korea Republic of LULULAB Seoul06054 Korea Republic of School of Biomedical Engineering College of Health Science Korea University Seoul02841 Korea Republic of

ISBN: (纸本)9783031781216

Manipulating 3D faces using text is an important technology in the entertainment industry. However, text-based manipulation of 3D faces remains a challenging area due to the scarcity of data pairs consisting of 3D faces and corresponding text. Additionally, inference for manipulating 3D faces using text prompts often requires several minutes due to the large model sizes or the optimization process to fit the text prompt. In this paper, we propose the ITFaceEdit model, a text and image-based 3D face manipulation model. ITFaceEdit constructs a framework trainable only with image and text data pairs, allowing it to learn a direct relationship between the text latent space and the 3D face latent space. By utilizing vectors from the learned text embeddings, we can manipulate 3D faces, employing face parsing for disentangled manipulation. Through this approach, we not only extend the reconstructed 3D face space using images with text-based manipulation but also configure an inference process without relatively heavy model structures and optimization steps, enabling 3D face manipulation in a few seconds. We demonstrate the superiority of our proposed method through comparisons with existing methods in various ways. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Entertainment industry

来源：评论

学校读者我要写书评

暂无评论

Nonvolatile Control of Optical and Electronic Responses in Two-Dimensional MoS2 via Ferroelectric ScAlN Thin Films

引用

ACS Applied Materials and Interfaces 2025年第18期17卷 26920-26930页

作者： Zha, Zhengxian Hou, Xinyi Wang, Hu Li, Haoran Kozadaev, Konstantin V. Li, Yongjiang Dai, Jianxun Han, Xue Liu, Kun Huang, Huolin Sun, Changsen Gao, Junfeng Tolstik, Alexei Pan, Lujun Li, Dawei School of Optoelectronic Engineering and Instrumentation Science Dalian University of Technology Dalian116024 China School of Biomedical Engineering Faculty of Medicine Dalian University of Technology Dalian116024 China Physical Optics and Applied Informatics Department Belarusian State University Minsk220030 Belarus School of Physics Dalian University of Technology Dalian116024 China Laser Physics and Spectroscopy Department Belarusian State University Minsk220030 Belarus

Wurtzite-structured ScAlN is a recently discovered ferroelectric material, and unique functionalities can emerge at the heterointerface between ScAlN and two-dimensional (2D) semiconductors, a territory that has yet to be fully explored. In this work, we report the controlled fabrication of inch-scale ScAlN thin films with high ferroelectric properties via reactive co-sputtering as well as the nonvolatile control of photoluminescence (PL) emission and electronic responses in 2D MoS2 by interfacing with ScAlN. The results show that as-grown ScAlN thin films are uniform at wafer scale (≥2 in.) and possess an ultrasmooth surface (≤1.7 Å), ultralow coercive field (≤0.04 V/nm), and out-of-plane polar axis. By interfacing monolayer MoS2 with ScAlN, we realize nonvolatile modulation of PL intensity and position in MoS2, which is attributed to ScAlN’s ferroelectric polarization-induced exciton-to-trion conversion, as evidenced by pizoresponse force microscopy and PL mapping analyses. Moreover, we fabricate high-performance ScAlN/2D MoS2 ferroelectric field-effect transistors, which exhibit a high current switching ratio (≥4.3 × 106) and an ultralow subthreshold swing (≤4.17 mV dec-1), exceeding most of the previously reported ScAlN/semiconductor devices. This study not only offers a cost-effective route to inch-scale fabrication of high-quality ScAlN films but also promotes the development of advanced optoelectronic devices based on III-nitride ferroelectric/2D heterostructures. © 2025 American Chemical Society.

关键词： Ferroelectric thin films

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：