LGLoc as a new language model-driven graph neural network for mRNA localization by Saeedeh Akbari Rokn Abadi, Aref Shahbakhsh, Somayyeh Koohi

“…Abstract The localization of mRNA is crucial for the synthesis of functional proteins and plays a significant role in cellular processes. …”
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A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…(1) Background: MicroRNAs are non-coding RNA sequences that regulate cellular functions by targeting messenger RNAs and inhibiting protein synthesis. …”
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Comparison of 2D, 2.5D, and 3D segmentation networks for mandibular canals in CBCT images: a study on public and external datasets by Su Yang, Jong Soo Jeong, Dahyun Song, Ji Yong Han, Sang-Heon Lim, Sujeong Kim, Ji-Yong Yoo, Jun-Min Kim, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Min-Suk Heo, Won-Jin Yi

“…The 3D-UNet demonstrated superior segmentation performance for the MC by learning 3D volumetric context information for the entire MC in the CBCT volume.…”
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Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery by Felix Wong, Aarti Krishnan, Erica J Zheng, Hannes Stärk, Abigail L Manson, Ashlee M Earl, Tommi Jaakkola, James J Collins

“…We demonstrate that rescoring of docking poses using machine learning‐based approaches improves model performance, resulting in average auROCs as large as 0.63, and that ensembles of rescoring functions improve prediction accuracy and the ratio of true‐positive rate to false‐positive rate. …”
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A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18 by Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang

“…In response to this, we propose a black widow optimization algorithm based on Lagrange interpolation (LIBWONN) to optimize the learning rate of ResNet18. Moreover, we evaluate LIBWONN’s effectiveness using 24 benchmark functions from CEC2017 and CEC2022 and compare it with nine advanced metaheuristic algorithms. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…Deep learning, especially deep convolutional neural networks (CNNs), has become a prominent approach, mimicking brain functions to process images through multiple layers. …”
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Enhancing cerebral infarct classification by automatically extracting relevant fMRI features by Vitaly I. Dobromyslin, Wenjin Zhou, for the Alzheimer’s Disease Neuroimaging Initiative

“…There is a need for non-invasive approaches, such as functional MRI (fMRI), that better reflect neuronal viability. …”
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The influence of hydroelectric power generation and water level variability on market clearing prices: A case study of Türkiye by Tamer Emre

“…To explore this, the study applies a comprehensive methodological framework combining multivariate regression, correlation analysis, impulse response functions (IRF), Granger causality tests, and machine learning models—specifically, Bidirectional LSTM and Stacked LSTM architectures.Findings reveal a weak correlation (R2 = 0.065) between hydroelectric generation and MCP, with no statistically significant causal relationship. …”
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GPCR-A17 MAAP: mapping modulators, agonists, and antagonists to predict the next bioactive target by Ana B. Caniceiro, Ana M. B. Amorim, Nícia Rosário-Ferreira, Irina S. Moreira

“…To address the growing need for effective treatments, the GPCR-A17 Modulator, Agonist, Antagonist Predictor (MAAP) was introduced as an advanced ensemble machine learning model that combines XGBoost, Random Forest, and LightGBM to predict the functional roles of agonists, antagonists, and modulators in GPCR-A17 interactions. …”
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A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…The addition of oppositional learning further improves the robustness of the search process. …”
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Music-stylized hierarchical dance synthesis with user control by Yanbo Cheng, Yichen Jiang, Yingying Wang

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Methodological approaches to the integration of web resources in teaching German to primary school students by Sofya V. Getmanskaya, Rimma A. Safina

“…The study is based on the analysis of scientific publications on the methodology of teaching foreign languages, an analysis of the functional capabilities of educational platforms, and pedagogical observations of the learning process. …”
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An experimental study of U-net variants on liver segmentation from CT scans by Halder Akash, Sau Arup, Majumder Surya, Kaplun Dmitrii, Sarkar Ram

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A Preliminary Investigation Of Self-determination In Inclusive Education: A Lebanese Model by Shaza Ismail, Mariam Saad

“…During the last decades, the emphasis on self-determination emerged from the self-advocacy movement and empowerment for students with a learning disability. Self-determination is to teach students to act as the causal agents of their own lives, and to function independently. …”
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Activated cancer-associated fibroblasts correlate with poor survival and decreased lymphocyte infiltration in infiltrative type distal cholangiocarcinoma by Dae Hyun Lim, Yung-Kyun Noh, Byoung Kwan Son, Dong-Hoon Kim, Kyueng-Whan Min, Seoung Wan Chae, Hyung Suk Kim, Mi Jung Kwon, Jung Soo Pyo, Yoonhyeong Byun

“…We developed a machine learning-based survival prediction model incorporating aCAFs and clinicopathologic parameters. …”
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The Mechanism of Street Spatial Form on Thermal Comfort from Urban Morphology and Human-Centered Perspectives: A Study Based on Multi-Source Data by Fei Guo, Mingxuan Luo, Chenxi Zhang, Jun Cai, Xiang Zhang, Hongchi Zhang, Jing Dong

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Advancing forest mapping: Pretraining strategies and deep-ensemble based uncertainty for predicting evergreen broad-leaved cover from Sentinel-2 time series by Benedikt Hiebl, Nicola Alessi, Giacomo Calvia, Alessandro Bricca, Gianmaria Bonari, Giulio Zangari, Wouter Dorigo, Stefan Zerbe, Martin Rutzinger

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Identification of new hub- ferroptosis-related genes in Lupus Nephritis by Xiao-Jie Zheng, Ying Chen, Li Yao, Xiao-Li Li, Da Sun, Yan-Qiu Li

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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

“…This study introduces a novel machine learning-based approach incorporating bilevel programming methods to optimize predictive models for UQoL. …”
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Histology image analysis of 13 healthy tissues reveals molecular-histological correlations by Yi Gao, Jianwen Liang, Mu Tian, Wenjiang Deng, Lei Wang, Siyuan Tao, Tian Mou

“…Based on 4306 samples of 13 organs from the largest human healthy tissue database, the Genotype-Tissue Expression (GTEx) project, a deep learning-based automatic analysis framework was constructed to investigate the geno–micro–correlations across tissues. …”
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