Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma by Hua Dai, Xin Tao, Yuansen Shu, Fanrong Liu, Xiaoping Cheng, Xiushen Li, Bairui Shu, Hongcheng Luo, XuXiang Chen, Zhaorui Cheng

“…Subsequent to this, consensus clustering analysis was implemented to stratify patients into distinct subgroups, contingent upon the expression patterns of lipid metabolism genes. Further analytical procedures involved functional enrichment analysis, evaluation of immune infiltration, and examination of the mutation landscape.PTGES3 was identified as a pivotal gene associated with lipid metabolism. …”
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Zero-shot intelligent fault diagnosis via semantic fusion embedding by Honghua Xu, Zijian Hu, Ziqiang Xu, Qilong Qian

“…However, they can hardly adapt to the practical conditions since the man-made data can hardly model the fault patterns across domains. Aiming to solve this problem, this paper proposes a novel deep fault semantic fusion embedding model (DFSFEM) to realize zero-shot intelligent fault diagnosis. …”
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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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Well Testing of Fracture Corridors in Naturally Fractured Reservoirs for an Improved Recovery Strategy by Yingying Guo, Andrew Wojtanowicz

“…The results show that diagnostic patterns can be used to infer fracture corridor characteristics and to approximate well positions. …”
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Real-Time Traffic Data Analysis and Deep Learning-based Traffic Volume Classification for Congestion Mitigation at Urban Intersections by Omar Abdullah Hasan, Duraid Y. Mohammed

“…The collected data underwent analysis through signal processing techniques, followed by detection using machine learning models: Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), Long Short-Term Memory (LSTM). Evaluating tow datasets, RTD and IDMT-Traffic, across four frame sizes, the results demonstrate the effectiveness of the proposed method. …”
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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…The model leverages Gated Recurrent Unit (GRU) layers for capturing long-term temporal dependencies and MCMC sampling for effective latent space exploration, ensuring high variability and accuracy. Experimental evaluations on datasets of Google, Tesla, and Nestlé stock prices demonstrate the model’s superior performance in preserving statistical and temporal patterns, as validated by quantitative metrics (discriminative and predictive scores), statistical tests (Kolmogorov–Smirnov), and t-Distributed Stochastic Neighbour Embedding (t-SNE) visualisations. …”
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Intercomparison of Antarctic Sea-Ice Thickness Estimates from Satellite Altimetry and Assessment over the 2019 Data-Rich Year by Magata Jesaya Mangatane, Marcello Vichi

“…While the methods agreed on the broad spatial patterns of SIT, they clustered in two groups that have significant magnitude differences, with SICC and FDM estimating thicker ice and the lidar-based methods producing the thinnest estimates. …”
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Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans by Gard K. Beinnes, Christine Skjegstad, Sascha Frühholz

“…Furthermore, decision patterns revealed both an alarm quotient and an avoid quotient for risk arbitration, which linked the likelihood of an urgent response (alarm, avoid) to a slowing of choosing a potential safe option in response to scream calls. …”
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AI-Driven Drought Monitoring: Advanced Machine Learning Techniques for Early Prediction by Vij Priya, Tiwari Ankita

“…The study employs Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to capture complex spatial and temporal patterns, enabling more accurate and timely drought forecasting compared to traditional approaches. …”
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Intra-seasonal Variability of Ball Speed and Coordination of Two Team-Handball Throwing Techniques in Elite Male Adolescent Players. by Serrien B., Clijsen R., Anders S., Goossens M., Baeyens J-P.

“…For coordination variability, a qualitative description based on the output of neural networks was used. All participants presented multiple coordination patterns, representing multi-stability on a month-to-month timescale and switched between stable states without the manipulation of any control variable. …”
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NeuroTutor: Neural Decoding of Student Engagement During Virtual and Robotic Tutoring by Shahd Elgammal, Shaymaa Alsereidi, Mahra Almansoori, Shamma Alblooshi, Abdelhadi Hireche, Abdelkader Nasreddine Belkacem

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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Other innovations included AI-generated academic content, neuroanatomical segmentation, and instrument pattern analysis. Ethical concerns highlighted risks of overreliance, image-processing limitations, and the irreplaceable role of clinical intuition. …”
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Explainable AI for Spectral Analysis of Electromagnetic Fields by Dimitris Kalatzis, Agapi Ploussi, Ellas Spyratou, Theodor Panagiotakopoulos, Efstathios P. Efstathopoulos, Yiannis Kiouvrekis

“…The frequency bands analyzed include FM radio (87.5-108 MHz), VHF, UHF television, and various mobile telephony zones (700 MHz, 800 MHz, 900 MHz, 1800 MHz, 2100 MHz, 2600 MHz, and 3600 MHz), representing both traditional and emerging wireless technologies. A comparative evaluation of six machine learning algorithms was conducted: XGBoost, LightGBM, Random Forests, k-Nearest Neighbors, Neural Networks and Decision Trees to assess prediction performance across each frequency band. …”
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GaitTriViT and GaitVViT: Transformer-based methods emphasizing spatial or temporal aspects in gait recognition by Hongyun Sheng

“…Previous gait recognition methods mostly focused on constructing a sophisticated model structure for better model performance during evaluation. Moreover, these methods are primarily based on traditional convolutional neural networks (CNNs) due to the dominance of CNNs in computer vision. …”
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Strengthening the public health system of Sierra Leone through scientific research and community engagement by Gebrekrstos Negash Gebru, Adel Hussein Elduma, James Sylvester Squire, Mohamed Alex Vandi, Soter Ameh, Hawawu Hussein, Kassim Kamara, Eric Ikoona, Ikechukwu Ogbuanu

“…The topics covered include investigations and responses to outbreaks and pandemics of both national and international significance, evaluations of electronic surveillance systems, assessments of the impact of COVID-19 on routine immunization, factors associated with COVID-19 fatalities, predictors of mental health disorders, and analyses of trends and patterns related to various priority diseases. …”
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Synthesis of Meso Carbon Micro Beads from Mesophase Pitch by Suspension Method by A. R. Yousefi, M. Sobhani, Sh. Torkian, H. Jamali, H. Sheikh, M. R. Loghman Estraki

“…According to the obtained results, the presence of x-ray patterns located at 2θ equal to 26 and 43 degrees confirmed the formation of a graphite hexagonal network. …”
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Multi-omics analysis reveals genetic architecture and local adaptation of coumarins metabolites in Populus by Wenke Zhang, Zhuoying Jin, Rui Huang, Weixiong Huang, Lianzheng Li, Yuling He, Jiaxuan Zhou, Chongde Tian, Liang Xiao, Peng Li, Mingyang Quan, Deqiang Zhang, Qingzhang Du

“…Furthermore, we constructed a genetic network of seven candidate genes that coordinately regulate coumarins biosynthesis, revealing the multiple regulatory patterns affecting coumarins accumulation in Populus tomentosa. …”
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Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture System by Da Yeon Lee, Moon Suk Jin, Balachandran Manavalan, Hak Kyun Kim, Jun Hyeok Song, Tae Hwan Shin, Gwang Lee

“…Reversely, expression patterns of the transcriptome in LPS-stimulated primary rat microglia were changed when cocultured with rBM-MSCs. …”
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Use of camera traps to record wild red panda activity in eastern Nepal by Sonam T. Lama, Kathryn A. Bugler, James G. Ross, Adrian M. Paterson

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Urban fluxes for free: Estimating urban turbulent surface fluxes from crowdsourced meteorological canyon layer observations by W. van der Meer, F. Zantinge, G.J. Steeneveld

“…Crowdsourcing and citizen science data have gained insight in the urban heat island effect and intra-urban heat patterns in many cities. However, while the urban energy balance is key in understanding the urban climate, professional urban surface flux measurements are relatively scarce. …”
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