Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…Hence, machine learning (ML), with its ability to process high-dimensional data and identify complex patterns, offers a promising patient outcome. …”
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Effect of Cr and Mo Substitution of Fe on Activation and Hydrogen Ab-/Desorption Properties of TiFe Hydrogen Storage Alloy by Yuehai Li, Houqun Xiao, Minglong Zhong, Qingjun Chen

“…As the Mo content increased, the lattice parameters increased slightly, further boosting the activation performance and reducing the optimal operating temperature from 90 to 75 °C, which can be readily matched using the waste heat from fuel cells. …”
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Optimizing potato yield predictions in Uttar Pradesh, India: a comparative analysis of machine learning models by Ahmad Alsaber, Anurag Satpathi, Mariam Alsabah, Parul Setiya

“…The data was detrended, processed into weather indices, and split into 70% for training and 30% for testing. …”
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What drives farmers’ behavior under climate change? Decoding risk awareness, perceived impacts, and adaptive capacity in northern Italy by Sandra Ricart, Claudio Gandolfi, Andrea Castelletti

“…Understanding climate change in a precise and timely manner may assist in gauging the occurrence and seriousness of its impacts, thereby boosting the adaptive capacity and responsiveness of farmers. …”
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Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches by M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro

“…Monitoring these formations provides critical insights into subsurface processes and geological hazards. This study focuses on detecting recent mud extrusions in mud volcano environments using high-resolution aerial imagery acquired by unmanned aerial vehicles (UAVs). …”
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Wearable co-thinking device to assist strawberry packaging task by Osamu Fukuda, Wen Liang Yeoh, Yuta Esaki, Jin Yien Lee, Mitsuru Higashimori, Makoto Kaneko, Satoshi Muraki

“…Abstract This study develops a wearable co-thinking device to support strawberry packaging, ultimately alleviating the workload on agricultural workers and boosting productivity. This innovative device, worn by the worker, can recognize, analyze, and collaborate with the worker in real time. …”
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Short-term plasticity influences episodic memory recall: an interplay of synaptic traces in a spiking neural network model by N. Chrysanthidis, F. Fiebig, A. Lansner, P. Herman

“…Abstract We investigated the interaction of episodic memory processes with the short-term dynamics of recency effects. …”
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Optimal selection test of material ratio in the top of Ordovician limestone grouting reconstruction by Zhenli FAN, Lutong CAO, Fengda ZHANG, Xiwen YIN, Qiuyang ZHAO, Zhiwei ZHANG

“…The effect of temperature on the performance of the slurry is relatively small. The pressure boosting process of ground grouting holes is divided into three stages: low-pressure filling, medium-pressure diffusion, and high-pressure fracture extension and reinforcement. …”
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Estimating Subsurface Thermohaline Structure in the Tropical Western Pacific Using DO-ResNet Model by Xianmei Zhou, Shanliang Zhu, Wentao Jia, Hengkai Yao

“…Under the data conditions considered in this study, DO-ResNet demonstrates superior performance relative to the extreme gradient boosting model, random forest model, and artificial neural network model. …”
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The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning by Fei Gao, Fei Teng, Yuxiang Wan, Qiaoli Zhang, Jinchang Huang

“…Results Stepwise Logistic Regression with Gradient Boosting Machine was chosen as the optimal model (area under the curve [AUC] = 0.977). …”
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Indoors Smartphone Positioning Enhancement Using Wi-Fi and Magnetometer by Runahi F. Qadir, Halgurd S. Maghdid

“…However, these technologies during positioning process will faced its own limitations such as: none-line-of-sight signals, multipath signals, and sensor drift or accumulated error. …”
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HiImp-SMI: an implicit transformer framework with high-frequency adapter for medical image segmentation by Lianchao Huang, Feng Peng, Binghao Huang, Yinghong Cao

“…A new dual-branch architecture is designed to simultaneously process spatial and frequency information, enhancing both boundary refinement and domain adaptability. …”
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Evaluating user satisfaction and engagement in mHealth: Insights from the Integrated Digital Health Engagement Model (IDHEM) by Hind Mashan Alshammari, Reem Iafi Almutairi, Asma Yahya Ghazwani, Ronal Surya Aditya

“…Introduction In recent years, mobile health (mHealth) applications have revolutionized healthcare by improving accessibility, boosting patient engagement, and simplifying health management processes. …”
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Solar radiation prediction: A multi-model machine learning and deep learning approach by C Vanlalchhuanawmi, Subhasish Deb, Md. Minarul Islam, Taha Selim Ustun

“…Among them, gradient boosting regressor (GBR) and recurrent neural network (RNN) emerged as top performers in ML and deep learning, respectively. …”
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Machine learning model for prediction of palliative care phases in patients with advanced cancer: a retrospective study by Junchen Guo, Yunyun Dai, Sishan Jiang, Junqingzhao Liu, Xianghua Xu, Yongyi Chen

“…Data on PCOC information were collected and analyzed from patients admitted to a palliative care unit at a cancer hospital in China between April 2023 and December 2024. The Gradient Boosting Decision Tree in the machine learning algorithm to establish a palliative care phase prediction model and evaluated the prediction performance of this model. …”
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Electric Power Supply System with Negligible Voltage Asymmetry Coefficient on the Input Side of the Main Traction Transformer by A. B. Kosarev, M. V. Alexeenko

“…While analyzing current distribution within the TPSS with multifunctional boosting transformer the authors used the standard set of equations, formulated by the mesh technique. …”
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A scoping review protocol on childhood immunization reminder strategies available to parents in Canada and the United States of America. by Matilda Anim-Larbi, Vivian Puplampu, Sithokozile Maposa, Akram Mahani, Mary Chipanshi

“…The findings will inform and improve public health strategies aimed at boosting vaccine uptake among children.…”
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Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets by Yong Cao, Tyler E. Schartel, David C. Houghton, Jared Ross, Dana M. Infante

“…While numerous machine learning (ML) algorithms for regression are available for such analyses, synthesizing outcomes across studies is challenging due to: (1) reliance on single datasets, limiting generalizability; (2) varying modeling processes; (3) inconsistent performance criteria; and (4) limited consideration of model stability and among-predictor discriminability.We addressed these issues by applying five ML algorithms—Random Forest (RF), Boosted Regression Tree (BRT), Extreme Gradient Boosting (XGB), Conditional Inference Forest (CIF), and Lasso—to ten large datasets on freshwater fish, mussels, and caddisflies. …”
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Search for single vector-like B quark production in hadronic final states at the LHC by Bingfang Yang, Zejun Li, Xinglong Jia, Stefano Moretti, Liangliang Shang

“…Abstract In this paper, we study the discovery potential of a Vector-Like B quark (VLB) via the process $$pp \rightarrow B(\rightarrow bZ)j\rightarrow b(Z \rightarrow \nu _l\bar{\nu _l})j$$ p p → B ( → b Z ) j → b ( Z → ν l ν l ¯ ) j at the Large Hadron Collider (LHC) with $$\sqrt{s}=14$$ s = 14 TeV. …”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

“…This approach incorporates dual encoders that process both the original and horizontally flipped images. …”
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