A Transfer Learning-Based Framework for Classifying Lymph Node Metastasis in Prostate Cancer Patients by Suryadipto Sarkar, Teresa Wu, Matthew Harwood, Alvin C. Silva

“…Earlier research focused on implementing texture algorithms to extract imaging features used in classification models. …”
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Application of Phi (<italic>&#x03A6;</italic>), the Golden Ratio, in Computing: A Systematic Review by M. Akhtaruzzaman, Jamal Uddin Tanvin, Amir Akramin Shafie, Fahim Shahryer, Sachitra Halder

“…The Golden Ratio (<inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>) has intrigued researchers for centuries due to its widespread presence in both nature and science. This article systematically examines <inline-formula> <tex-math notation="LaTeX">$\phi $ </tex-math></inline-formula>&#x2019;s diverse applications in computing, focusing on its role in enhancing visual appeal, optimizing algorithms, system design, and influencing fields such as biometrics, machine intelligence, and engineering. …”
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Detection and monitoring of Melampsora spp. Damage in multiclonal poplar plantations coupling biophysical models and Sentinel-2 time series by Carlos Camino, Alexey Valero-Jorge, Erika García Lima, Ramón Álvarez, Pieter S.A. Beck, Flor Álvarez-Taboada

“…For each DM, three ML algorithms (support vector machines, random forests, and neural networks) were trained using in situ leaf rust inspections as reference data, and the following inputs: (i) inverted plant traits retrieved from the PROSAIL model, (ii) key spectral indices derived from Sentinel-2 time series, and (iii) a combination of both plant traits and indices from Sentinel-2 images. …”
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Persistent Gaps and Errors in Reference Databases Impede Ecologically Meaningful Taxonomy Assignments in 18S rRNA Studies: A Case Study of Terrestrial and Marine Nematodes by Alejandro De Santiago, Tiago José Pereira, Timothy John Ferrero, Natalie Barnes, Delphine Lallias, Simon Creer, Holly M. Bik

“…Additionally, the choice of bioinformatics parameters and computational algorithms can further affect the accuracy of eDNA taxonomy assignments. …”
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Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway by Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Smith Khare, Vinay C. Gogineni, Victoria Blanes-Vidal, Gunnar Baatrup

“…This is due to several factors, such as low quality bowel cleansing, logistical challenges around both delivery and collection of the capsule, and most importantly, the tedious manual assessment of images after retrieval. …”
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Identification and analysis of the endoplasmic reticulum stress hub genes in sepsis-associated ARDS by Ling Gao, Tingting Liu, Xiaoyan Li

“…The aim of this study was to identify and analyze hub genes related to ERS in sepsis-associated ARDS using bioinformatics and machine learning algorithms, which may serve as diagnostic markers and therapeutic targets. …”
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Prognostic model for log odds of negative lymph node in locally advanced rectal cancer via interpretable machine learning by Ye Wang, Zhen Pan, Huajun Cai, Shoufeng Li, Ying Huang, Jinfu Zhuang, Xing Liu, Guoxian Guan

“…The study included 820 patients, identifying LONT as a significant independent prognostic factor for both OS and DFS. Nine machine learning algorithms were used to create predictive models based on these factors. …”
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Development and validation of a machine learning model for online predicting the risk of in heart failure: based on the routine blood test and their derived parameters by Jianchen Pu, Yimin Yao, Xiaochun Wang

“…Additionally, 211 patients from the Qiantang and Xixi centers formed an independent external validation cohort. This study used both univariate and multivariate analyses to identify the risk factors associated with HF. …”
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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

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Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image by Jinfeng Gao, Gangqiang Li, Ruxian Yao, Qiang Liu, Junming Zhang

“…In recent years, deep learning algorithms have achieved significant success in spectral super-resolution. …”
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Comparative Effectiveness of Risankizumab vs Other Biologics in Crohn’s Disease: Long-Term and Quality-of-Life Outcomes after Inadequate Response to Prior Therapy by Monika Babczyńska, Agnieszka Buliszak, Piotr Marcjasz, Anna Bioły, Agnieszka Borończyk, Piotr Zając

“…Further direct comparisons are warranted to clarify its role in treatment algorithms. …”
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Parallax-Tolerant Weakly-Supervised Pixel-Wise Deep Color Correction for Image Stitching of Pinhole Camera Arrays by Yanzheng Zhang, Kun Gao, Zhijia Yang, Chenrui Li, Mingfeng Cai, Yuexin Tian, Haobo Cheng, Zhenyu Zhu

“…Camera arrays typically use image-stitching algorithms to generate wide field-of-view panoramas, but parallax and color differences caused by varying viewing angles often result in noticeable artifacts in the stitching result. …”
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A Lightweight YOLO-Based Architecture for Apple Detection on Embedded Systems by Juan Carlos Olguín-Rojas, Juan Irving Vasquez, Gilberto de Jesús López-Canteñs, Juan Carlos Herrera-Lozada, Canek Mota-Delfin

“…Ensuring apple quality with minimal effort is crucial for both large-scale and local producers. In Mexico, the manual detection of damaged apples has led to inconsistencies in product quality, a problem that can be addressed by integrating vision systems with machine learning algorithms. …”
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The Role of Immersive Experience in Anxiety Reduction: Evidence from Virtual Reality Sessions by Dominika Wilczyńska, Tamara Walczak-Kozłowska, David Alarcón, María José Arenilla, Jose Carlos Jaenes, Marcelina Hejła, Mariusz Lipowski, Joanna Nestorowicz, Henryk Olszewski

“…Methods: The study included 419 individuals aged 10 to 80 years, with 29 aged 10–15 years and 390 above 15 years, who were randomly assigned to experimental and control groups on the basis of project-defined criteria, including a random allocation to the wheelchair-using group. Both groups used goggles for virtual space navigation, with the experimental group employing a multijoint arm mounted on an aluminum frame and special algorithms to navigate without controllers. …”
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Automated measurement and correlation analysis of fundus tessellation and optic disc characteristics in myopia by Zhen Guo, Lingzhi Chen, LiLong Wang, Yan Gao, Qianqian Liang, Shuyue Xue, Qing Du, Zhichun Zhang, Bin Lv, Guanzheng Wang, Guotong Xie, Jun Li

“…The study findings suggest that both FT and OD characteristics are highly correlated with the severity of myopia, particularly as it progresses from mild or moderate to high levels. …”
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AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes by David B. Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P. E. K. Mohammed, Bankole I. Oladapo, Stergios Boussios

“…While AI offers tremendous potential, challenges remain in areas such as data privacy, algorithmic bias, and the cost of adopting AI technologies. …”
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Improving 3D Reconstruction Through RGB-D Sensor Noise Modeling by Fahira Afzal Maken, Sundaram Muthu, Chuong Nguyen, Changming Sun, Jinguang Tong, Shan Wang, Russell Tsuchida, David Howard, Simon Dunstall, Lars Petersson

“…The depth maps from these sensors have inherently high measurement uncertainty that includes both systematic and non-systematic noise. These noisy depth estimates degrade the quality of scans, resulting in less accurate 3D reconstruction, making them unsuitable for some high-precision applications. …”
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Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques by Yang Li, Kun Zou, Yixuan Wang, Yucheng Zhang, Jingtao Zhong, Wu Zhou, Fang Tang, Lu Peng, Xusheng Liu, Lili Deng

“…The findings show that the Gradient Boosting Model demonstrated robust performance across both the training and test datasets. Specifically, it attained AUC values of 0.8 and 0.765 in the training and test sets, respectively, while achieving accuracy scores of 0.736 and 0.728 in these two datasets. …”
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Cathepsin C correlates with M2 macrophage infiltration and regulates the tumor growth and metastasis in non-small cell lung cancer by Xiaoxia Tong, Ting Zhu, Li Ma, Xiaohu Yang, Chenghui Li, Yibing Liu, Xuan Qin, Yanguang Ding, Hongwei Xia, Yonglei Liu

“…Gene set enrichment analysis (GSEA) demonstrated the involvement of CTSC in the immune responses and ssGSEA, CIBERSORT-abs, QUANTISEQ, XCELL algorithms results showed CTSC was positively associated with the M2 macrophages infiltration. …”
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Comprehensive Review of Intrusion Detection Techniques: ML and DL in Different Networks by Imane Rakine, Aziz Oukaira, Kamal El Guemmat, Issam Atouf, Sara Ouahabi, Mohamed Talea, Tarik Bouragba

“…The strengths and limitations of ML and DL algorithms, which are frequently used for intrusion detection, are highlighted. …”
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