Enhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies by Li Li, Tao Zheng, Enhong Dong, Minjie Chen, Xiaojing Zhao, Binyuan Zhang, Xuji Zhao, Weijun Shao, Yiling Fan

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Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…The reliability and accuracy of the computational method are validated through grid independence verification and comparisons with experimental data and empirical formulas. Systematic analysis of the effects of notch size, water entry velocity, and entry angle on the evolution of the free surface, impact loads, and structural responses uncovers several novel findings. …”
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GPU‐Accelerated Urban Flood Modeling Using a Nonuniform Structured Grid and a Super Grid Scale River Channel by Youtong Rong, Paul Bates, Jeffrey Neal

“…Abstract New remote sensing technologies, and the meter‐scale geospatial data they create, now allow for detailed urban landscape characterization, thereby advancing grid‐based hydrodynamic models. …”
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Navigating family dynamics and ethical considerations in genetic diagnosis of pulmonary arterial hypertension: insights from in-depth semi-structured interviews by Emilia M. Swietlik, Michaela Fay, Nicholas W. Morrell

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Impact of Implementing Structured Compensatory Methods on Knowledge and Awareness of Cognitive Dysfunction Management Among Neurological Disorder Patients in Vijayapur Hospitals by Nelson Vijaykumar, Aleyamma Varghese

“…It can result from neurotoxicity ischemia or neurodegenerative diseases like Alzheimerrsquos and Parkinsonrsquos.Objectives The study aimed to assess knowledge about cognitive impairment evaluate the effectiveness of structured compensatory techniques and analyze the relationship between knowledge scores and sociodemographic variables.Methodology The study assessed the effectiveness of structured compensatory techniques in improving knowledge about cognitive impairment among neurological patients in Vijayapura hospitals. …”
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Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data augmentation technique expands the original dataset through Gaussian noise. …”
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Acoustic Data on Vowel Nasalization Across Prosodic Conditions in L1 Korean and L2 English by Native Korean Speakers by Jiyoung Jang, Sahyang Kim, Taehong Cho

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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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Towards implementing new payment models for the reimbursement of high-cost, curative therapies in Europe: insights from semi-structured interviews by Thomas Desmet, Thomas Desmet, Sissel Michelsen, Sissel Michelsen, Elena Van den Brande, Walter Van Dyck, Steven Simoens, Isabelle Huys

“…Statements were allocated into six main topics: payment structure, spread payments, outcome-based agreements, governance, transparency, and regulation.ResultsInterviews revealed the necessary conditions that, fulfilled together, are seen to be sufficient for the successful implementation of OBSP, including consensus on pricing, payment logistics, robust data infrastructure and financing, clear agreement terms (duration, outcome parameters, payment triggers), long-term patient follow-up solutions, an external multi-stakeholder governance body, and transparency regarding agreement types.ConclusionDespite the interest, the effective implementation of OBSP falls behind due to a lack of consensus on how this new reimbursement method can be a sustainable solution. …”
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Effect of a structured Orem’s self-care model nursing intervention on sleep quality and academic self-efficacy in nursing students by Mir Amirhossein Seyednazari, Kourosh Amini, Farhad Ramezani-Badr, Abdolah Khorami Markani

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Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model by Nina Braad Iskov, Anders Stevnhoved Olsen, Kristoffer Hougaard Madsen, Morten Mørup

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Predicting an individual’s functional connectivity from their structural connectome: Evaluation of evidence, recommendations, and future prospects by Andrew Zalesky, Tabinda Sarwar, Ye Tian, Yuanzhe Liu, B. T. Thomas Yeo, Kotagiri Ramamohanarao

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A spatially constrained independent component analysis jointly informed by structural and functional network connectivity by Mahshid Fouladivanda, Armin Iraji, Lei Wu, Theodorus G. M. van Erp, Aysenil Belger, Faris Hawamdeh, Godfrey D. Pearlson, Vince D. Calhoun

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Anatomy, histology, and electron microscopy of the cardiac conduction system. Current views and new data: review by L. B. Mitrofanova

“…The review provides a current view of the anatomy, histology, immunohistochemistry, electron microscopy, and electron immunocytochemistry of the cardiac conduction system (CCS) based on literature data and the author's own research over more than 30 years. …”
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Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China by Jianyu Yao, Xiaoyang Kong, Lei Fang, Zhaohan Huo, Yanbo Peng, Zile Han, Shilong Ren, Jinyue Chen, Xinfeng Wang, Qiao Wang

“…Ongoing climate change has intensified fire disturbances in boreal forests globally, posing significant risks to forest ecosystem structure and function, with the potential to trigger major regime shifts. …”
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Structural Damage Detection by Power Spectral Density Estimation Using Output-Only Measurement by Eun-Taik Lee, Hee-Chang Eun

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Testing students' e-learning via Facebook through Bayesian structural equation modeling. by Hashem Salarzadeh Jenatabadi, Sedigheh Moghavvemi, Che Wan Jasimah Bt Wan Mohamed Radzi, Parastoo Babashamsi, Mohammad Arashi

“…Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analysis offers more accurate data analysis results. …”
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Adaptive Scattering Feature Awareness and Fusion for Limited Training Data SAR Target Recognition by Chenxi Zhao, Daochang Wang, Xianghui Zhang, Yuli Sun, Siqian Zhang, Gangyao Kuang

“…Specifically, the scattering structure intelligent awareness module is designed to automatically distinguish and screen the critical scattering information from the SAR image. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

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