Analysis of Event-related Potential Dynamics Reveals Lavender Aroma Modulates Cognitive Flexibility: An Electroencephalography Investigation Based on Task Switching Paradigms [0.03%]
事件相关电位动态分析揭示了薰衣草气味对认知灵活性的调节作用：基于任务转换范式的脑电研究
Reyhaneh Afghan,Hamid Soltani Zangbar,Soomaayeh Heysieattalab et al.
Reyhaneh Afghan et al.
Background: The therapeutic potential of lavender aroma is well documented, with proven results in reducing stress and facilitating mental repose. However, its effects on specific domains of executive function, such as co...
Creation of a Standardized Myocardial Perfusion Single-photon Emission Computed Tomography Database to Enhance Coronary Artery Disease Research [0.03%]
创建标准化的心肌灌注单光子发射计算机断层扫描数据库以增强冠状动脉疾病研究
Abdurrahim Rahimian,Masoud Moslehi,Hossein Rabbani et al.
Abdurrahim Rahimian et al.
Background: Coronary artery disease (CAD) remains the leading global cause of cardiovascular mortality. Although single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is widely used, progre...
Fractional Active Contour Model with Adaptive Hessian Weighting for Mammogram Segmentation [0.03%]
基于自适应Hessian加权的分数阶活动轮廓模型乳腺图像分割算法
Ruhollah Motamedi,Nasser Aghazadeh,Mahdi Hashemzadeh et al.
Ruhollah Motamedi et al.
Background: Accurate segmentation of breast masses in mammographic images is a crucial step in computer-aided diagnosis (CAD) systems. However, mammograms are often affected by noise, low contrast, weak boundaries, and in...
Gluteus Maximus-gastrocnemius versus Quadriceps Biofeedback Neuromuscular Training during Gait in Knee Osteoarthritis: Development and Feasibility of a Novel Concept with a Pilot Study [0.03%]
膝骨关节炎步态中的臀大肌-腓肠肌与股四头肌生物反馈神经肌肉训练：一种新概念的发展及可行性（一项初步研究）
Khosro Khademi Kalantari,Soheila Ganjeh,Khorshid Bijari et al.
Khosro Khademi Kalantari et al.
Background: The neuromuscular training is a subgroup of functional exercises. The effectiveness of the neuromuscular training substantially improves in combination with electromyography (EMG) biofeedback. The present stud...
Region-specific Transcriptomic Signatures in Alzheimer's Disease: A Meta-analysis of Vulnerable Brain Regions Reveals MicroRNA-hub Gene Regulatory Networks [0.03%]
阿尔茨海默病易感脑区的转录组特征元分析发现微小核糖核酸-核心基因调控网络
Khojaste Rahimi Jaberi,Shayan Khalili Alashti,Sedighe Hooshmandi et al.
Khojaste Rahimi Jaberi et al.
Background: Alzheimer's disease (AD) is characterized by progressive neurodegeneration in regionally vulnerable brain areas, yet molecular insights into early pathogenic mechanisms remain limited. ...
Presentation of a New Averaging Method for Improvement of Systematic and Random Errors in Radiotherapy of Chest and Abdomen Cancer Using Electronic Portal Imaging Device [0.03%]
一种新的基于EPID的胸部及腹部肿瘤放疗系统和随机误差改善的平均摆位方法的研究
Mohammad Reza Asgari,Mahdi Ghorbani,Mehdi Khosravi et al.
Mohammad Reza Asgari et al.
Background: This study aims to introduce and evaluate a new averaging method to decrease systematic and random errors using an electronic portal imaging device (EPID) in radiotherapy of chest and abdomen cancers. ...
Predicting Theta/Alpha Neurofeedback Success through Psychological and Personality Profiles: A Hybrid Approach Using Multilayer Perceptron and Elastic Net Models [0.03%]
基于心理和人格特征的theta/alpha神经反馈成功的预测：使用多层感知器和弹性网络模型的混合方法
Siminsadat Hasheminia,Nasrin Sho&#x;ouri,Maryam Tayefeh Mahmoudi
Siminsadat Hasheminia
Background: The present study aimed to identify and analyze the psychological, cognitive, and neurophysiological factors influencing success in theta/alpha neurofeedback training. The research focused on how personality d...
Efficient Techniques Based on Sparse Representation for Classifying High-dimensional Multiclass Microarray Data [0.03%]
基于稀疏表示的分类高维多类微阵列数据的有效技术研究
Maliheh Miri,Mohammad Taghi Sadeghi,Vahid Abootalebi
Maliheh Miri
Background: Sparse representation (SR) has shown strong performance in classification tasks, particularly for high-dimensional data such as microarray gene expression profiles. These datasets present significant challenge...
Supervised Volumetric Segmentation of White and Gray Matter from Brain Positron Emission Tomography Images Using Magnetic Resonance Labels [0.03%]
基于磁共振图像标签的脑 positron emission tomographym图的白质和灰质体素分割方法
Kiarash Danesh,Alireza Karimian,Peyman Sharifian et al.
Kiarash Danesh et al.
Background: This study evaluates the performance of five deep convolutional neural networks (DCNNs) for supervised segmentation of white matter (WM) and gray matter (GM) in brain positron emission tomography (PET) images ...
Effective Connectivity-based Unsupervised Channel Selection Method for Electroencephalography [0.03%]
基于有效连接的脑电通道无监督选择方法
Neda Abdollahpour,Nabi Sertac Artan,Ian Daly et al.
Neda Abdollahpour et al.
Background: Analyzing neural data such as electroencephalography (EEG) data often involves dealing with high-dimensional datasets, where not all channels provide equally meaningful information. Selecting the most relevant...