Enhancing Cognitive Workload Classification Using Integrated LSTM Layers and CNNs for fNIRS Data Analysis by Mehshan Ahmed Khan, Houshyar Asadi, Mohammad Reza Chalak Qazani, Adetokunbo Arogbonlo, Siamak Pedrammehr, Adnan Anwar, Hailing Zhou, Lei Wei, Asim Bhatti, Sam Oladazimi, Burhan Khan, Saeid Nahavandi

“…To address these limitations associated with conventional methods, this paper conducts a comprehensive exploration of the impact of Long Short-Term Memory (LSTM) layers on the effectiveness of Convolutional Neural Networks (CNNs) within deep learning models. …”
Get full text

Identification of Auxin-Associated Genes in Wheat Through Comparative Transcriptome Analysis and Validation of the Candidate Receptor-like Kinase Gene <i>TaPBL7-2B</i> in Arabidops... by Mengjie Zhang, Guangzhu Chen, Jie Cai, Yongjie Ji, Linrun Xiang, Xinhong Chen, Jun Wang

“…Functional enrichment analysis revealed that differentially expressed genes (DEGs) exhibited tissue-specific regulatory patterns in response to auxin. …”
Get full text

The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach by Rostislav Epifanov, Yana Fedotova, Savely Dyachuk, Alexandr Gostev, Andrei Karpenko, Rustam Mullyadzhanov

“…This study introduces a novel one-stage method for simultaneous vessel segmentation and centerline extraction using a multitask neural network. We designed a hybrid architecture that integrates convolutional and graph layers, along with a task-specific loss function, to effectively capture the topological relationships between segmentation and centerline extraction, leveraging their complementary features. …”
Get full text

Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease by Chang Hu, Yihong Dong, Shoubo Peng, Yuehan Wu

“…Specifically, we employ spectral augmentation self-supervised learning and dynamic concept contrastive learning to achieve open-world graph learning guided by pseudo-labels, and construct hard positive sample pairs to enhance the network’s focus on potential positive pairs. Experiments conducted on public datasets validate the superior performance of this method in the open-world psychiatric disease diagnosis domain.…”
Get full text

Political Image of the Regional Leader on Instagram by D. I. Kaminchenko

“…The conceptual basis of the research is formed by the theory of the information society, as well as the concepts of “network image”, “digitalization policy” and “network identity”.According to the results of the conducted content analysis, it was found that more often than others in the messages posted on the studied official Internet page of the political leader in Instagram, such an image-role construct as an “organizer” is presented. …”
Get full text

Disrupted topological organization of brain connectome in patients with chronic low back related leg pain and clinical correlations by Yuqi Ji, Xiao Liang, Yixiu Pei, Xiaoying Zuo, Yanyan Zhu, Jie Xu, Qinmei Kuang, Ziwei Yang, Fuqing Zhou, Yong Zhang

“…A large-scale complex network analysis was conducted to evaluate the global and nodal topological properties of functional and structural brain networks. …”
Get full text

Astaxanthin ameliorates benzalkonium chloride–induced dry eye disease through suppressing inflammation and oxidative stress via Keap1‐Nrf2/HO‐1 signaling pathways by Ziyu Liu, Yaqiong Li, Jiayu Bao, Siyuan Li, Ya Wen, Peng Zhang, Jun Feng, Yinghui Wang, Lei Tian, Ying Jie

“…Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted to elucidate the functions of pivotal targets within the protein–protein interaction network. …”
Get full text

Reinforcing long lead time drought forecasting with a novel hybrid deep learning model: a case study in Iran by Mahnoosh Moghaddasi, Mansour Moradi, Mahdi Mohammadi Ghaleni, Zaher Mundher Yaseen

“…Key parameters of the DFFNN, including the number of neurons and layers, learning rate, training function, and weight initialization, were optimized using the WSO algorithm. …”
Get full text

Time series analysis combined with transcriptome sequencing to explore characteristic genes and potential molecular mechanisms associated with ultrasound-guided microwave ablation... by Qian Zhang, Guangfei Yang, Ruijiao Chang, Fuxia Wang, Tao Han, Jin Tian, Wen Wang

“…The eXpression2Kinases (X2K), GeneMANIA, transcription factor (TF), and competing endogenous (ce) RNA regulatory networks were conducted. The expression of marker genes was validated by quantitative real-time polymerase chain reaction (qRT-PCR).Results Five marker genes (IL32, VCAM1, IL34, NFKB1 and CXCL13) were identified, which were connected with immune-related functions. …”
Get full text

Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…On this basis, a comprehensive index combining sample entropy and VMD decomposition to reconstruct the errors of each order component is used as a fitness function. Through this method, a thorough search was conducted to identify the optima parameter combination. …”
Get full text

Research on fault location method for micro-grid based on multi-source information fusion alarm by YANG Zhichun, LI Muyuan, HAN Ji, YANG Fan, SHEN Yu, MIN Huaidong

“…The faults in the micro-grid are modeled using the symmetrical component method, and the characteristics of short-circuit faults are analyzed by solving the positive and negative sequence network differential equations. Similarity computation is used to process and visualize the data, and convolutional neural network (CNN) is employed to identify the fault information, thereby achieving intelligent generation of alarm information. …”
Get full text

Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study using ultra performance supercritical fluid chromatography tandem mass spectrometry by Natalie Thomas, S. J. Kumari A. Ubhayasekera, Christopher W. Armstrong, Katherine Huang, Jonas Bergquist

“…Given the broad role of steroid hormones in regulating these systems, this study investigated differences in the steroid metabolome and network dynamics between ME/CFS patients and matched controls. …”
Get full text

Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others by Q. Si, J. Tian, V. A. Savostyanov, D. A. Lebedkin, A. V. Bocharov, A. N. Savostyanov

“…It was revealed that brain functional activity depends on the subject relevance of the facial video that the participants viewed between resting-state intervals. …”
Get full text

Quantitative Method of Response Value of Integrated Energy Equipment Based on Global Sensitivity Analysis by HUANG Yixiang, DOU Xun, LI Linxi, YANG Hanyu, YU Jiancheng, HUO Xianxu

“…A surrogate model for the integrated energy system is conducted based on particle swarm optimization-backpropagation (PSO-BP) neural network. …”
Get full text

Cochleogram-Based Speech Emotion Recognition with the Cascade of Asymmetric Resonators with Fast-Acting Compression Using Time-Distributed Convolutional Long Short-Term Memory and... by Cevahir Parlak

“…The newly tailored CARFAC 24 model is a sophisticated system for analyzing human speech and is designed to best simulate the functionalities of the human cochlea. In this study, we use the CARFAC 24 system for speech emotion recognition and compare it with state-of-the-art systems using speaker-independent studies conducted with Time-Distributed Convolutional LSTM networks and Support Vector Machines, with the use of the ASED and the NEMO emotional speech dataset. …”
Get full text

Net2Brain: a toolbox to compare artificial vision models with human brain responses by Domenic Bersch, Domenic Bersch, Martina G. Vilas, Martina G. Vilas, Sari Saba-Sadiya, Timothy Schaumlöffel, Timothy Schaumlöffel, Kshitij Dwivedi, Christina Sartzetaki, Radoslaw M. Cichy, Radoslaw M. Cichy, Radoslaw M. Cichy, Gemma Roig, Gemma Roig

“…In cognitive neuroscience, the integration of deep neural networks (DNNs) with traditional neuroscientific analyses has significantly advanced our understanding of both biological neural processes and the functioning of DNNs. …”
Get full text

Volatolomics for Anticipated Diagnosis of Cancers with Chemoresistive Vapour Sensors: A Review by Abhishek Sachan, Mickaël Castro, Jean-François Feller

Get full text

Soil Structure Analysis with Attention: A Deep-Learning-Based Method for 3D Pore Segmentation and Characterization by Italo Francyles Santos da Silva, Alan de Carvalho Araújo, João Dallyson Sousa de Almeida, Anselmo Cardoso de Paiva, Aristófanes Corrêa Silva, Deane Roehl

“…It affects a range of processes essential for soil ecological functions, such as the transport and retention of water and nutrients, as well as gas exchanges. …”
Get full text

Bioinformatic Insights and XGBoost Identify Shared Genetics in Chronic Obstructive Pulmonary Disease and Type 2 Diabetes by Qianqian Ji, Yaxian Meng, Xiaojie Han, Chao Yi, Xiaoliang Chen, Yiqiang Zhan

“…Functional enrichment and protein–protein interaction (PPI) analyses were conducted, followed by cross‐species validation in Mus musculus models. …”
Get full text

Novel polymer-based hydrogels of recent research in drug delivery for disease treatment related to SARS-CoV-2 virus by Nguyen Hoc Thang, Nguyen Van Phuc, Tran Thi Tu Nhi, Dang Xuan Cuong, Do Quang Minh

“…Polymer-based hydrogels are hydrophilic polymer networks with a remarkable capacity to absorb substantial amounts of water and biological fluids, rendering them highly attractive for drug delivery applications. …”
Get full text