miR-224 activates cancer-associated fibroblasts to enhance lung cancer cell migration and invasion by targeting Akirin1 by Seonyeong Oh, Sieun Lee, Inyoung Cheon, Young-Ho Ahn

“…In a mouse orthotopic injection model, miR-224 overexpression in LFs increased lung cancer metastasis. Using target prediction tools and subsequent 3′-UTR luciferase assay, Akirin1 was validated as a direct target gene of miR-224. …”
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Whole blood transcriptome profile identifies motor neurone disease RNA biomarker signatures by Sulev Kõks, Sulev Kõks, Karin Rallmann, Mari Muldmaa, Mari Muldmaa, Jack Price, Abigail L. Pfaff, Abigail L. Pfaff, Pille Taba

“…Blood-based biomarkers for motor neuron disease are needed for better diagnosis, progression prediction, and clinical trial monitoring. We used whole blood-derived total RNA and performed whole transcriptome analysis to compare the gene expression profiles in (motor neurone disease) MND patients to the control subjects. …”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…To enhance the prediction accuracy of offshore wind speed, this study employs an interpolation algorithm to improve spatial resolution based on the ERA5 reanalysis dataset. …”
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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…Explainable machine learning (XML) addresses this by providing transparency and clarity in model predictions. Techniques such as Local Interpretable Model‐agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) have become popular for interpreting these models. …”
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Advanced spectrophotometric chemometric methods for resolving the binary mixture of doxylamine succinate and pyridoxine hydrochloride by Katsarov Plamen, Gergov Georgi, Alin Aylin, Pilicheva Bissera, Al-Degs Yahya, Simeonov Vasil, Kassarova Margarita

“…The prediction power of partial least squares (PLS) and multivariate curve resolution-alternating least squares (MCR-ALS) methods have been studied for simultaneous quantitative analysis of the binary drug combination - doxylamine succinate and pyridoxine hydrochloride. …”
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FATF Recommendations in Adopting Risk-Based Approach (RBA) in Anti-Money Laundering Supervisory-Control Structure and Iran's Legislative Position by Amir Jamali Hajiani, Esmaeil Abdollahi, Ahmad Mirzaei

“…In conclusion, by identifying the components of adopting a standard risk-based approach and studying Iran's legislative approach, the results show that in Iran's anti-money laundering supervisory and control structure, with the formation of the necessary institutions, the adoption of a risk-based approach has been considered at both national and intra-organizational levels, and its manifestation can be seen in the prediction of "National Risk Assessment Workgroup", "National Risk Assessment Document" and "Action Plan".…”
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Driving Safety Analysis Using Grid-Based Water-Filled Rut Depth Distribution by Jiao Yan, Hongwei Zhang, Bing Hui

“…In addition, the influence of the water depth difference between the left and right ruts on the driving safety is quantitatively analyzed, and a safety prediction model for the water-filled rut is established. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…The integration of object detection and attribute recognition typically relies on approaches such as dual-stage networks, where accurate predictions depend on advanced feature extraction techniques, such as Region of Interest (RoI) pooling. …”
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Hybrid breeding boosted molecular genetics in rye by R. Schlegel

“…Those marker-assisted approaches became the basis of recent hybrid breeding of rye. Prediction of hybrid performance can also be improved significantly by marker-assisted selection and genomic selection based on genomewide marker data. …”
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Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence by Yi-Ming Chen, Tzu-Hung Hsiao, Ching-Heng Lin, Yang C. Fann

“…Deep learning techniques have significantly advanced variant calling, pathogenicity prediction, splicing analysis, and MHC-peptide binding predictions in genetics. …”
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RFSoC Modulation Classification With Streaming CNN: Data Set Generation & Quantized-Aware Training by Andrew Maclellan, Louise H. Crockett, Robert W. Stewart

“…We interface with the implemented hardware through the open-source PYNQ project, which combines Python with programmable logic interaction, enabling real-time modulation prediction via a PYNQ-enabled Jupyter app. The three models, operating at a 128 MHz sampling rate prior to the decimation stage, were evaluated for accuracy and resource consumption. …”
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Daily Functionality of People with Low Vision: The Impact of Visual Acuity, Depression, and Life Orientation—A Cross-Sectional Study by Mara Gkioka, Stavroula Almpanidou, Niki Lioti, Diamantis Almaliotis, Vasileios Karampatakis

“…Optimism as a personality characteristic did not factor into the prediction model for daily functionality, but it showed a strong correlation with lower levels of depressive symptoms. …”
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Classifying Dementia Using Local Binary Patterns from Different Regions in Magnetic Resonance Images by Ketil Oppedal, Trygve Eftestøl, Kjersti Engan, Mona K. Beyer, Dag Aarsland

“…Diagnosis can be demanding and MR imaging may aid as a noninvasive method to increase prediction accuracy. We explored the use of 2D local binary pattern (LBP) extracted from FLAIR and T1 MR images of the brain combined with a Random Forest classifier in an attempt to discern patients with Alzheimer's disease (AD), Lewy body dementia (LBD), and normal controls (NC). …”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model verification phase, the network is fed with set operating conditions, achieving highly accurate identification of stable operating conditions and offline prediction.…”
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Neural Plastic Effects of Cognitive Training on Aging Brain by Natalie T. Y. Leung, Helena M. K. Tam, Leung W. Chu, Timothy C. Y. Kwok, Felix Chan, Linda C. W. Lam, Jean Woo, Tatia M. C. Lee

“…This pattern of findings is consistent with the prediction and the principle of experience-dependent neuroplasticity. …”
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Driver’s Lane Selection Model Based on Phase-Field Coupling and Multiplayer Dynamic Game with Incomplete Information by Xiaoyuan Wang, Fang Wang, Dong Kong, Yaqi Liu, Liping Liu, Chen Chen

“…Intelligent driving is an effective means to achieve the active safety of automobile, and the accurate prediction of vehicle group situation is the premise to achieve the intelligent driving of vehicle. …”
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SEMdag: Fast learning of Directed Acyclic Graphs via node or layer ordering. by Mario Grassi, Barbara Tarantino

“…Besides its superior disease predictive performance compared to previous research, SEMdag() offers the user the flexibility to define distinct structure learning algorithms and can handle high dimensional issues with less computing load. …”
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Mechanical Behavior of High-Strength Bolted Joints Fabricated from Fire-Resistant Steel at Elevated Temperatures by Yuedong Wang, Xiaorun Li, Peng Liu, Changdong Wu, Chuhan Liu, Lijing Zeng, Wentao He, Tiantian Yin

“…In addition, reduction factors of the tensile strength (KN) and slip strength (KS) for both fire-resistant bolt specimens and ordinary high-strength bolt specimens decrease with the increase in temperature, especially in the case of elevated temperatures ranging from 400°C to 700°C. Prediction models with different reliability degrees are proposed to calculate the degradation of tensile strength under elevated temperatures, which has the potential to be used for the fire-resistant design of steel connections and structures.…”
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A multimodal multistream multilevel fusion network for finger joint angle estimation with hybrid sEMG and FMG sensing by Zhouping Chen, Mohamed Amin Gouda, Longcheng Ji, Hong Wang

“…A cross-stream interaction (CSI) block is added between the GRU networks to focus on important information in the prediction and optimise the learning process and representation capability by facilitating information interaction among branch networks. …”
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Nondestructive Testing on Ancient Wooden Components Based on Shapley Value by Li-hong Chang, Xiao-hong Chang, Hao Chang, Wei Qian, Li-ting Cheng, Xiao-li Han

“…This method can improve the prediction accuracy of internal defects in ancient buildings and provide effective data support for practical engineering repair and reinforcement schemes.…”
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