Advancing Functional Near-Infrared Spectroscopy (fNIRS) With Transformers: A PRISMA-Driven Systematic Review by Neda Abdollahpour, Abhinav Kakaraparthi, Chakradhar Sai Valluru, N. Sertac Artan

Subjects: “…Functional near infrared spectroscopy (fNIRS)…”
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Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis by Ying Mao, Ying Mao, Xuchen Qi, Xuchen Qi, Xuchen Qi, Lingyan He, Shan Wang, Zhaowei Wang, Fang Wang, Fang Wang

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A Systematic Approach to Enhancing ISO 26262 With Machine Learning-Specific Life Cycle Phases and Testing Methods by Padma Iyenghar, Emil Gracic, Gregor Pawelke

“…This paper presents a systematic approach to enhancing ISO 26262, a widely adopted standard for automotive functional safety, by integrating Machine Learning (ML)-specific life cycle phases and testing methods for Automotive Safety Integrity Level (ASIL) A/B. …”
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Unveiling the Spatial Heterogeneity of Urban Vitality Using Machine Learning Methods: A Case Study of Tianjin, China by Fengshuo Sun, Enxu Wang

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Engage and learn: Improved learning of cellular structures using a virtual reality-based learning experience by Heino Laubscher, Ben Loos, Rensu P. Theart

“…This study investigates the efficacy of Virtual Reality (VR) as an interactive tool for teaching complex cellular structures and functions. Despite VR’s growing popularity in education, its effectiveness remains debated, often due to the absence of guiding learning theories in VR design studies. …”
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Machine learning applications in forecasting patient satisfaction and clinical outcomes after carpal tunnel release: a retrospective study by Zohreh Manoochehri, Sara Manoochehri, Seyed Reza Bagheri, Alireza Abdi, Ehsan Alimohammadi

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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

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Machine learning-based integration develops relapse related signature for predicting prognosis and indicating immune microenvironment infiltration in breast cancer by Junyi Li, Shixin Li, Dongpo Zhang, Yibing Zhu, Yue Wang, Xiaoxiao Xing, Juefei Mo, Yong Zhang, Daixiang Liao, Jun Li

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An Interpretable Machine Learning Framework for Athlete Motor Profiling Using Multi-Domain Field Assessments: A Proof-of-Concept Study by Bartosz Wilczyński, Maciej Biały, Katarzyna Zorena

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Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data by Jing Liu, Xinping Zhang, Kai Huang, Yuqi Wei, Xiao Guan

Subjects: “…grain protein function prediction…”
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Individualized functional brain mapping machine learning prediction of symptom-change resulting from selective kappa-opioid antagonism in an anhedonic sample from a Fast-Fail trial by Matthew D. Sacchet, Joseph L. Valenti, Poorvi Keshava, Shane W. Walsh, Moria J. Smoski, Andrew D. Krystal, Diego A. Pizzagalli

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Correction: Spilz, A.; Munz, M. Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures.... by Andreas Spilz, Michael Munz

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The combined effects of motor imagery and motor practice are influenced by differences in working memory function: Examination of brain, spinal cord, and muscle performance data by Yuki Fukumoto, Hiroki Bizen, Marina Todo, Naoki Yoshida, Toshiaki Suzuki

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Chemical space-informed machine learning models for rapid predictions of x-ray photoelectron spectra of organic molecules by Susmita Tripathy, Surajit Das, Shweta Jindal, Raghunathan Ramakrishnan

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Functional evolution and functional biodiversity: 150 years of déjà vu or new physiology of evolution? by Leonid L. Moroz, Leonid L. Moroz, Daria Y. Romanova

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Development of a neural network-based risk prediction model for mild cognitive impairment in older adults with functional disability by Deyan Liu, Yuge Tian, Min Liu, Shangjian Yang

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Predicting the anion conductivities and alkaline stabilities of anion conducting membrane polymeric materials: development of explainable machine learning models by Yin Kan Phua, Tsuyohiko Fujigaya, Koichiro Kato

Subjects: “…Machine learning models…”
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Longitudinal Analysis of Risk Factors for Pulmonary Function Decline in Chronic Lung Diseases Over Five Years by Li L, Meng J, Chen J

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