Interaction of accelerometer-measured physical activity and genetic risk on cardiovascular diseases: a prospective cohort study from UK Biobank by Liangyu Zhao, Chaoyu Xu, Qingrong Zhang, Sihua Xu, Yiyuan Xiao, Tuojian Li, Yanling Zhong, Haitao Chen

“…Cox proportional hazard models were used to evaluate associations of physical activity with the four cardiovascular outcomes. …”
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Impact of tumor position displacement during end-exhalation breath-hold condition on tumor dose in lung stereotactic body radiation therapy using volumetric modulated arc therapy by Tatsuya Kamima, Shunsuke Moriya, Takeji Sakae, Hikaru Miyauchi, Yasushi Ito, Kenji Tokumasu, Yasuo Yoshioka

“…This study used four-dimensional (4D) dose calculation with cine computed tomography (CT) to evaluate the impact of unexpected tumor position displacement during breath-holding on the target dose of lung volumetric modulated arc therapy (VMAT)-SBRT. …”
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Impact of respiratory syncytial virus on Streptococcus pneumoniae resistance to β-lactam antibiotics: an investigative study in children by Lu Li, Yushun Wan, Yuncheng Wang, Ye Tao, Xiao Long, Enmei Liu, Yu Deng

“…In vitro RSV-S.pn co-culture experiments evaluated β-lactam susceptibility (MIC determination). …”
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Relationship between physical parameters and visual analysis for assessment of image quality: a multi-center and multi-vendor phantom study in brain SPECT by Akie Sugiura, Takayuki Shibutani, Masahisa Onoguchi, Akio Nagaki, Kotatsu Tsuboi, Toshimune Ito, Hajime Ichikawa

“…Objective(s): Brain perfusion single-photon emission computed tomography (SPECT) image quality varies depending on SPECT systems. …”
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Comprehensive reevaluation of acetaldehyde chemistry - part I: Assessment of important kinetic parameters and the underlying uncertainties by Xinrui Ren, Hongqing Wu, Ruoyue Tang, Yanqing Cui, Mingrui Wang, Song Cheng

“…This study aims to re-evaluate the important rate and thermodynamic parameters for acetaldehyde combustion chemistry and determine the physical uncertainties of these parameters. …”
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Cooling Arrangements for Hybrid Thermal-CPV Receivers with High Output Coolant Temperature for Combined Electricity Generation and Water Desalination by Mohamed Omri, Yusuf Al-turki, Étienne Léveillé, Richard Arès, Luc Fréchette

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Voice Activity Detection in Noisy Environments Based on Double-Combined Fourier Transform and Line Fitting by Jinsoo Park, Wooil Kim, David K. Han, Hanseok Ko

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Multistage allocation problem for Mexican pension funds. by Andrés García-Medina, Norberto A Hernández-Leandro, Graciela González Farías, Nelson Muriel

“…Overall, the methodology proposed here is computationally efficient and displays the desired properties of a TDF strategy in realistic settings.…”
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Electrocardiography Denoising via Sparse Dictionary Learning from Small Datasets by Steinbrinker Tabea, Spicher Nicolai

“…Wearable electrocardiography monitors, e.g. embedded in textile shirts, offer new approaches in diagnosis but suffers upon limited computational capacities. Hence, we propose and evaluate a lightweight algorithm for electrocardiography denoising via sparse dictionary learning, targeting two types of noise: baseline wander and muscle artifacts. …”
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Emotion-RGC net: A novel approach for emotion recognition in social media using RoBERTa and Graph Neural Networks. by Jiangting Yan, Pengju Pu, Liheng Jiang

“…Despite its strong performance, we identify areas for future research, including reducing the model's reliance on large labeled datasets, improving computational efficiency, and incorporating temporal dynamics to capture emotion evolution in social networks. …”
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Curative endoscopic resection of giant esophageal dedifferentiated liposarcoma: a case report and literature review by Mingqing Liu, Huimei Wang, Nan Zhang, Hong Xu

“…However, long-term follow-up is necessary to evaluate both therapeutic outcomes and prognosis fully.…”
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MaizeNet: High-Performance Image-Based Maize Cob Detection using Lightweight CNNs by Mishra Nidhi, Lalnunthari Banti

“…To obtain good performance yet low computational efficiency, we design a custom CNN architecture for MaizeNet. …”
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18F-FDG PET/CT in the diagnosis and treatment of atypical extensive skin lesions in extranodal natural killer/T-cell lymphoma, nasal type: a case report by Xu-Sheng Liu, Zhi-Jun Pei

“…Initially, the patient underwent evaluations for various dermatological conditions, including eczema and psoriasis, while also being assessed for potential malignancies such as cutaneous lymphoma or sarcoidosis, but no definitive diagnosis was made. …”
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A study of modified Wells score for pulmonary embolism and age-adjusted D-dimer values in patients at risk for deep venous thrombosis by Sweety Singh, Atul Goel

“…This study was designed to evaluate the usefulness of modified Wells score combined with age-adjusted D-dimer cut-off levels as a clinical pre-test probability assessment for predicting PE in patients ‘at risk for DVT.’ …”
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VSS-SpatioNet: a multi-scale feature fusion network for multimodal image integrations by Zeyu Xiang

“…Existing CNN-based and Transformer-based methods face computational inefficiencies in modeling global dependencies. …”
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CFD and Artificial Intelligence-Based Machine Learning Synergy for the Assessment of Syngas-Utilizing Pre-Reformer in r-SOC Technology Advancement by Murphy M. Peksen

“…This study demonstrates the significant advantages of integrating computational fluid dynamics (CFD) with artificial intelligence (AI)-based machine learning (ML) to optimize the pre-reforming process for reversible solid oxide cell (r-SOC) technologies. …”
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Successful thrombolysis for acute ischemic stroke in the presence of hyposphagma: a clinical case report by G. Ulianskaitė, A. Timinskaitė, J. Valaikienė

“…The medical team needed to urgently evaluate the additional risk of ocular bleeding and make the most appropriate decision on using thrombolytic stroke therapy. …”
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Influence of Geometric Parameters on Intake Performance of 3D Ramp-Type Scramjet Inlet by Sunoh Kang, Sung Ha Kwon, Donghun Park

“…Several optimal solutions were selected from the resulting Pareto front, and their intake performance was evaluated.…”
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PIFR: A novel approach for analyzing pose angle-based human activity to automate fall detection in videos. by Vungsovanreach Kong, Saravit Soeng, Munirot Thon, Wan-Sup Cho, Anand Nayyar, Tae-Kyung Kim

“…This study introduces a novel two-stage fall detection system that combines computer vision and machine learning to accurately identify fall events. …”
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Novel deep reinforcement learning based collision avoidance approach for path planning of robots in unknown environment. by Raed Alharthi, Iram Noreen, Amna Khan, Turki Aljrees, Zoraiz Riaz, Nisreen Innab

“…The proposed approach is evaluated in a narrow and cluttered passage environment. …”
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