An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification by Santosh Kumar Chhotray, Debahuti Mishra, Sarada Prasanna Pati, Sashikala Mishra

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A cost and community perspective on the barriers to microbiome data reuse by Julia M. Kelliher, Julia M. Kelliher, Leah Y. D. Johnson, Francisca E. Rodriguez, Jaclyn K. Saunders, Marie E. Kroeger, Buck Hanson, Aaron J. Robinson, Winston E. Anthony, Marc W. Van Goethem, Anders Kiledal, Ahmed A. Shibl, Amanda Araujo Serrao de Andrade, Cassandra L. Ettinger, Chhedi Lal Gupta, Chhedi Lal Gupta, Chris R. P. Robinson, Cristal Zuniga, Cristal Zuniga, Daniel Sprockett, Douglas Terra Machado, Emilie J. Skoog, Iyanu Oduwole, Jason A. Rothman, Kaelan Prime, Katherine R. Lane, Leandro Nascimento Lemos, Lisa Karstens, Mark McCauley, Mitiku Mihiret Seyoum, Moamen M. Elmassry, Mustafa Guzel, Reid Longley, Simon Roux, Thomas M. Pitot, Emiley A. Eloe-Fadrosh

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Resource Allocation With Edge-Cloud Collaborative Traffic Prediction in Integrated Radio and Optical Networks by Bowen Bao, Hui Yang, Qiuyan Yao, Lin Guan, Jie Zhang, Mohamed Cheriet

“…Integrated radio and optical network scenarios will involve more weak-computation-ability network nodes, such as small-cell base stations. …”
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A novel hybrid fuzzy analytical hierarchy process–game theory model for prioritizing factors affecting the deterioration of water pipelines by Eslam Mohammed Abdelkader, Tarek Zayed, Nehal Elshaboury

“…The performances of weight computation methods are analyzed using statistical evaluation indicators of satisfactory index (SAT) and distance between weights (WD). …”
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Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning by Ramya Jonnala, Jeong Yang, Young Lee, Gongbo Liang, Zechun Cao

“…To address this issue, our research rigorously evaluated the computational efficiency of Python code generated by three prominent LLMs: GPT-4o-Mini, GPT-3.5-Turbo, and GPT-4-Turbo. …”
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A case of occult pancreaticobiliary reflux due to endoscopically confirmed relaxation of the Oddi sphincter by Fumiya Kataoka, Shin Miura, Kiyoshi Kume, Kazuhiro Kikuta, Shin Hamada, Tetsuya Takikawa, Ryotaro Matsumoto, Mio Ikeda, Takanori Sano, Akira Sasaki, Atsushi Masamune

“…Abstract An otherwise healthy 45‐year‐old woman had been experiencing intermittent right upper abdominal pain for the past 1 year. Computed tomography showed pneumobilia and pancreatic duct emphysema despite a normal duodenal papilla. …”
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PET/CT Imaging of the Right Heart Perfusion and Glucose Metabolism Depending on a Risk Status in Patients With Idiopathic Pulmonary Arterial Hypertension by Natalia Goncharova, Daria Ryzhkova, Kirill Lapshin, Anton Ryzhkov, Aryana Malanova, Elizaveta Andreeva, Olga Moiseeva

“…Relevance of the low‐risk status assessment using available diagnostic tools requires a reliable confirmation. The study aimed to evaluate right ventricular perfusion and glucose metabolism using positron emission tomography (PET)/computed tomography (CT) with [13N]‐ammonia and [18F]‐fluorodeoxyglucose ([18F]‐FDG) in 30 IPAH patients (33.8 ± 9.4 years) according to ESC/ERS 2022 risk status. …”
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Analytical Inertia Identification of Doubly Fed Wind Farm with Limited Control Information Based on Symbolic Regression by Mengxuan Shi, Yang Li, Xingyu Shi, Dejun Shao, Mujie Zhang, Duange Guo, Yijia Cao

“…Case studies show that the proposed method can fully utilize prior model knowledge and operational data to accurately assess the system’s inertia level with low computational complexity.…”
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Next-Generation Vaccine Platforms: Integrating Synthetic Biology, Nanotechnology, and Systems Immunology for Improved Immunogenicity by Majid Eslami, Bahram Fadaee Dowlat, Shayan Yaghmayee, Anoosha Habibian, Saeedeh Keshavarzi, Valentyn Oksenych, Ramtin Naderian

“…Despite promising progress, challenges include scalability, safety evaluation, and ethical concerns with data-driven vaccine designs. …”
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Under-scanning non-line-of-sight imaging based on convolution approximation and optimization by Jinye Miao, Yingjie Shi, Lingfeng Liu, Yi Wei, Fuyao Cai, Lianfa Bai, Enlai Guo, Jing Han

“…Through comprehensive evaluation of synthetic and experimental data, we have demonstrated that DO-NLOS can achieve high-quality reconstruction under extreme conditions, such as spatially scanned data and data with short exposure times. …”
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AI-Assisted Design of Drain-Extended FinFET With Stepped Field Plate for Multi-Purpose Applications by Xiaoyun Huang, Hongyu Tang, Chenggang Xu, Yuxuan Zhu, Yan Pan, Dawei Gao, Yitao Ma, Kai Xu

“…More importantly, the proposed framework enables efficient device design and performance evaluation, achieving an average prediction accuracy of 98.19% for electrical performance metrics while being over two million times faster than traditional Technology Computer-Aided-Design (TCAD) simulations. …”
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What patients and caregivers want to know when consenting to the use of digital behavioral markers by Anika Sonig, Christine Deeney, Meghan E. Hurley, Eric A. Storch, John Herrington, Gabriel Lázaro-Muñoz, Casey J. Zampella, Birkan Tunc, Julia Parish-Morris, Jenny Blumenthal-Barby, Kristin Kostick-Quenet

“…Abstract Artificial intelligence (AI)-based computational tools for deriving digital behavioral markers are increasingly able to automatically detect clinically relevant patterns in mood and behavior through algorithmic analysis of continuously and passively collected data. …”
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Label-Efficient Fine-Tuning for Remote Sensing Imagery Segmentation with Diffusion Models by Yiyun Luo, Jinnian Wang, Jean Sequeira, Xiankun Yang, Dakang Wang, Jiabin Liu, Grekou Yao, Sébastien Mavromatis

“…This strategy significantly reduces computational consumption and facilitates fast transfer and deployment across various interpretation tasks on homogeneous imagery. …”
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High-precision prediction of non-resonant high-order harmonics energetic particle modes via stacking ensemble strategies by Sheng Liu, Zhenzhen Ren, Weihua Wang, Kai Zhong, Jinhong Yang, Hongwei Ning

“…The developed stacking model is designed for multi-objective prediction, including the grow rate ( γ ) and mode frequency ( ω ) of the EPMs. The evaluation results indicate that the performance of the proposed model surpasses most supervised learning algorithms. …”
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Detection of Leaf Diseases in Banana Crops Using Deep Learning Techniques by Nixon Jiménez, Stefany Orellana, Bertha Mazon-Olivo, Wilmer Rivas-Asanza, Iván Ramírez-Morales

“…To improve performance, data augmentation techniques were applied using TensorFlow Keras’s ImageDataGenerator class, expanding the dataset to 9000 images. Due to the high computational demands of ResNet50 and VGG19, training was performed with EfficientNetB0. …”
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Comprehensive performance analysis of CMOS and CNTFET based 8T SRAM cell by Mahamudul Hassan Fuad, Md Faysal Nayan, Sheikh Shahrier Noor, Rahbaar Yeassin, Russel Reza Mahmud

“…We have also analyzed the effect of temperature & different tube positions of CNTs on the performance evaluation of the 8T SRAM cell.…”
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Bone Health, Fragility Fractures, and the Hand Surgeon by Jessica Ong, MD, PhD, Isabel Snee, BS, Isabel Marcano, MD, Scott Tintle, MD, Malek Cheikh, MD, Aviram M. Giladi, MD, MS

“…Additionally, routine radiographs and computed tomography scans also provide valuable screening opportunities even in patients without fragility fractures. …”
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Solid Oxide Fuel Cell Voltage Prediction by a Data-Driven Approach by Hristo Ivanov Beloev, Stanislav Radikovich Saitov, Antonina Andreevna Filimonova, Natalia Dmitrievna Chichirova, Egor Sergeevich Mayorov, Oleg Evgenievich Babikov, Iliya Krastev Iliev

“…However, these models require substantial computational resources, leading to high processing times. …”
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Machine learning optimization of environmental factors influencing biomass and nutritional composition in local algal species by Aisha Khan, Saleem Ullah, Rifat Ali, Mahwish Rehman, Said Moshawih, Khang Wen Goh, Long Chiau Ming, Lai Ti Gew

“…This study integrates experimental and computational approaches, providing a detailed framework for optimizing algal cultivation. …”
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Applications of gene pair methods in clinical research: advancing precision medicine by Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin, Jian Huang

“…In this review, we systematically evaluate gene pair-based analytical frameworks. We classify eleven computational approaches into two fundamental categories: expression value-based methods quantifying differential expression patterns, and rank-based methods exploiting transcriptional ordering relationships. …”
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