Hepatic Steatosis Analysis in Metabolic Dysfunction-Associated Steatotic Liver Disease Based on Artificial Intelligence by Xiao-Xiao Wang, Yu-Yun Song, Rui Jin, Zi-Long Wang, Xiao-He Li, Qiang Yang, Xiao Teng, Fang-Fang Liu, Nan Wu, Yan-Di Xie, Hui-Ying Rao, Feng Liu

“…Methods: We evaluated the characteristics of hepatic steatosis in mouse models of MASLD using AI analysis based on SHG/TPEF images. …”
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Characterization of private mutations in the spike protein of SARS-CoV-2 correlates with viral prevalence by Shuo Wang, Ziyang Hao, Yuhan Ding, Heng Rong, Shuo Ning, Qiao Qiao, Xiaojuan Zhu, Tao Wu, Kangchen Zhao, Liguo Zhu, Jingxin Li, Yiyue Ge, Lunbiao Cui

“…Methods Genomic information from the SARS-CoV-2 network surveillance laboratories in Jiangsu Province in 2023 was collected. …”
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Hybrid Blockchain-Based Multi-Operator Resource Sharing and SLA Management by Sidra Tul Muntaha, Qasim Z. Ahmed, Faheem A. Khan, Zaharias D. Zaharis, Pavlos I. Lazaridis

“…We propose a hybrid blockchain-based framework for multi-operator resource sharing and SLA management in 5G Standalone (5GSA) networks. Leveraging Hyperledger Fabric (HLF), we implement secure resource sharing between multiple seller Mobile Network Operators (MNOs) and a single buyer MNO, evaluating HLF’s performance in terms of transaction latency and throughput. …”
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Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

“…These latter criminal behaviors are either committed through the use of social networks such as Facebook, Twitter, and Instagram or are facilitated by using them. 2. …”
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Epigenetic modifications in bladder cancer: crosstalk between DNA methylation and miRNAs by Wei Li, Wei Li, Wei Li, Peiyue Luo, Peiyue Luo, Peiyue Luo, Qi Chen, Qi Chen, Qi Chen, Le Cheng, Le Cheng, Le Cheng, Lifeng Gan, Lifeng Gan, Lifeng Gan, Fangtao Zhang, Fangtao Zhang, Fangtao Zhang, Haidong Zhong, Haidong Zhong, Haidong Zhong, Liying Zheng, Biao Qian, Biao Qian

“…Simultaneously, miRNAs can regulate DNA methylation levels by targeting key enzymes such as DNA methyltransferases (DNMTs), thereby establishing a complex feedback regulatory network. A deeper understanding of the crosstalk mechanisms between DNA methylation and miRNAs in BC will contribute to elucidating the complexity and dynamics of epigenetic modifications in this disease, and may provide new molecular targets and strategies for the early diagnosis, treatment, and prognostic evaluation of BC.…”
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Performance Analyses of the Radio Orbital Angular Momentum Steering Technique Based on Ka-Band Antenna by Mingtuan Lin, Yue Gao, Peiguo Liu, Zhiqing Guo

“…Furthermore, UCAs working at Ka-band with formulated feeding networks are designed and fabricated to analyze the performance of the OAM steering. …”
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Acute Respiratory Infections Identification With Cough Sounds and Overlapping Patch Modulated Vision Transformers by P. V. V. Kishore, D. Anil Kumar, Pasupuleti Sasikiran, Kaja Krishna Mohan, P. Praveen Kumar, Mogadala Vinod Kumar

“…The <inline-formula> <tex-math notation="LaTeX">$IPO-ViT$ </tex-math></inline-formula> achieved higher accuracies of around 92.33% over the state-of-the-art cough sound-based disease identification networks.…”
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Gird Congestion Management Based on the Renewable Energy Zones and Clustering of Grid Congestion Conditions by Yujiro Tanno, Akihisa Kaneko, Yasuhiro Hayashi, Yuki Itoda, Wataru Wayama, Kevin Tomsovic

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LSTM and TCN application for airport surface distress detection by Ludek Cicmanec, Adam Kubica, Jiri Maslan

“…Using experimental measurements taken on a test road section, we tested the smartphone accelerometers to recognize and categorize selected distress patterns. In our work, we investigated the capacity of neural networks with a Long Short-Term Memory (LSTM) layer with normalized data weighted and not weighted, bidirectional LSTM, and Temporal Convolutional Networks (TCNs). …”
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Diversity and functional roles of endophytic and rhizospheric microorganisms in Ophioglossum vulgatum L.: implications for bioactive compound synthesis by Xian-Nv Long, Xian-Nv Long, Xian-Nv Long, Xing-Kai Zhang, Yue Wu, Shu-Shuang Tang, Tai-Xiong Zheng, Di Chen, Guan-Hua Cao, Guan-Hua Cao, Guan-Hua Cao, Xu-Hong Zhou, Sen He, Sen He, Sen He

“…This study systematically characterized the endophytic and rhizospheric community structure, taxonomic diversity, and symbiotic networks within distinct compartments of O. vulgatum, while evaluating their potential associations with the accumulation of pharmacologically active metabolites.MethodsEndophytic and rhizospheric community profiling was conducted via Illumina sequencing, while bioactive compounds were identified using UPLC-ESI-MS/MS.ResultsRoots and leaves harbored beneficial bacteria (e.g., Methylobacterium, Streptomyces, Sphingomonas, and Flavobacterium). …”
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Ultrasound thyroid nodule segmentation algorithm based on wavelet transform and CNN-Transformer by ZHENG Shuijing, YANG Jun, CAI Yujiao

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LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting by Saleh Albahli

“…This study presents a novel hybrid forecasting model that integrates Long Short-Term Memory (LSTM) networks and Prophet models, leveraging their complementary strengths through a dynamic weighted ensemble methodology. …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…Several machine learning algorithms, including K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees, Random Forests, and Neural Networks, were implemented and evaluated. Model performance was assessed using accuracy, recall, F1 score, and area under the receiver operating characteristic curve (AUC-ROC) metrics. …”
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Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy by Wei Wu, Qihan Fu, Lulu Liu, Yi Zheng, Hangyu Zhang, Peng Zhao, Weijia Fang, Xuanwen Bao, Shaobing Cheng, Xiaomeng Dai, Xudong Zhu, Zhou Tong, Fanglong Liu

“…A receiver operating characteristic curve was used to evaluate the accuracy rate of neural network, reaching 100%.Conclusion Our analysis unraveled the difference in the molecular nature and genomic variance in MSI and MSS colon cancer. …”
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A comparative study of kinematic and kinetic analysis of gait in patients with non-specific low back pain versus healthy controls by Mohammad Taghi Karimi, Maryam Hasan Zahraee, Mahmood Bahramizadeh, Hanieh Khaliliyan, Majid Ansari, Farhad Ghaffari, Arash Sharafatvaziri

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Analysis of Autism Spectrum Disorder in Children with Data Mining Methods by Sümeyye Çelik, Melike Şişeci Çeşmeli

“…Data mining techniques aim to reveal hidden patterns in data. They are widely used in many fields, such as medicine. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…We evaluate our classifiers on multiple UCI repository datasets and compare them with established methods, including k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), Random Forest (RF), Neural Networks (NNs), Naive Bayes (NB), and Nearest Centroid (NC). …”
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Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning by Ehsan Tavakoli Garmaserh, Mehran Emadi

“…This study presents a novel deep learning framework that integrates advanced feature engineering and Long Short-Term Memory (LSTM) networks to address the challenges posed by irregular seasonal trends and dynamic consumption patterns. …”
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DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

“…Firstly, it combines a gated recurrent unit (GRU) network with the attention mechanism. This combination enables the network to more comprehensively capture the context of speech signals and focus on the parts that are more critical for lie detection. …”
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Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…MTEPN is built upon the CSPDarkNet network, which is employed to extract fundamental features from traffic scene images. …”
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