Cracking geriatric complexity: key messages from the Italian Society of Geriatrics Hospital and Territory Young Masterclass by Liliana Mazza, Francesca Crosta, Roberto Caragnulo, Moira Ceci, Claudio De Lucia, Simone Dini, Lorenzo Palleschi

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Exploring Newly Qualified Midwives’ Lived Experiences of Out-of-Hospital Births Through Voice Messaging and Interviews by Nancy Iris Stone, Gill Thomson

“…This paper presents a secondary analysis of a larger study on the training of newly qualified midwives in out-of-hospital birth settings. …”
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Adaptive Damping Log-Domain Message-Passing Algorithm for FTN-OTFS in V2X Communications by Hui Xu, Chaorong Zhang, Qingying Wu, Benjamin K. Ng, Chan-Tong Lam

“…To further enhance numerical stability, an improved detection algorithm called adaptive damping log-domain message-passing (ADL-MP) is developed for the proposed scheme. …”
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Validation of the inadequate delivery of oxygen index in an adult cardiovascular intensive care unitCentral MessagePerspective by Heather Holman, BS, Dimitar Baronov, PhD, Jeff McMurray, MD, Arman Kilic, MD, Marc Katz, MD, Sanford Zeigler, MD

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Prediction and Correction of Software Defects in Message-Passing Interfaces Using a Static Analysis Tool and Machine Learning by Norah Abdullah Al-Johany, Fathy Elbouraey Eassa, Sanaa Abdullah Sharaf, Amin Y. Noaman, Asaad Ahmed

“…This system predicts defects including deadlock, race conditions, and mismatch, by dividing the model into three stages: training, testing, and prediction. The training phase extracts and combines the features as well as the label and then trains on classification. …”
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Singular Value Decomposition-Based Adaptive Sampling Approximate Message Passing Net for Sparse-View CT Reconstruction by Zhenhua Wu, Jiafei Xu, Lixia Yang

“…In this paper, to address these challenges, we present a singular value decomposition-based adaptive sampling approximate message passing network (ASAMP-Net) sparse-view CT imaging method. …”
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I-MPN: inductive message passing network for efficient human-in-the-loop annotation of mobile eye tracking data by Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag

“…Through experiments conducted on three distinct video sequences, our interactive-based method showcases significant performance improvements over fixed training/testing algorithms, even when trained on considerably smaller annotated samples collected through user feedback. …”
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Deep learning-based prediction of nodal metastasis in lung cancer using endobronchial ultrasoundCentral MessagePerspective by Tsukasa Ishiwata, MD, PhD, Terunaga Inage, MD, PhD, Masato Aragaki, MD, PhD, Alexander Gregor, MD, PhD, Zhenchian Chen, MD, Nicholas Bernards, PhD, Kamran Kafi, MD, Kazuhiro Yasufuku, MD, PhD

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The well-matched interaction between virtuality and reality for intraoperative localization of nonpalpable pulmonary nodulesCentral MessagePerspective by Zhen Feng, MD, Shuliang Yu, MD, Haixiao Diao, MB, Yue Yu, MB, Zhongmin Peng, MD

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Switch test method of train communication network based on Ethernet by YANG Peng

“…It also met the test requirements of process data, message data, best effort data transmission in the train network, and the test requirements of related protocols. …”
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Pretrained E(3)-equivariant message-passing neural networks with multi-level representations for organic molecule spectra prediction by Yuzhi Xu, Daqian Bian, Cheng-Wei Ju, Fanyu Zhao, Pujun Xie, Yuanqing Wang, Wei Hu, Zhenrong Sun, John Z. H. Zhang, Tong Zhu

“…Compared to state-of-the-art machine learning models, EnviroDetaNet excels in various predictive tasks and maintains high accuracy even with a 50% reduction in training data, demonstrating strong generalization capabilities. …”
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Contributions from Dissertation Committee Members to Educational Research Training by José Margarito Jiménez Mora, María Guadalupe Moreno Bayardo, José de la Cruz Torres Frías

“…This paper reflects on empirical elements derived from the work by Moreno, Torres and Jiménez (2014) entitled The Discourse of Dissertation Committee Members as a Means to Train Graduate Researchers, which is based on a research project whose object of study is the content and orientation of the messages received by doctoral education students from professors who made critical readings of their dissertation progress. …”
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The learning curve of video-assisted thoracoscopic sleeve lobectomy in a high-volume pulmonary centerCentral MessagePerspective by Jiajun Deng, MD, Lei Jiang, MD, Shenghui Li, MD, Lei Zhang, MD, Yifan Zhong, MD, Dong Xie, MD, PhD, Chang Chen, MD, PhD

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Effectiveness of a Health Belief Model-based integrated health education and mobile phone short message service intervention on health knowledge, perception, and self-efficacy towa... by Myo Zin Oo, Soe Sandi Tint, Alessio Panza, Sathirakorn Pongpanich, Pramon Viwattanakulvanid, Somdeth Bodhisane, Amaraporn Rerkasem, Kittipan Rerkasem

“…Results Health knowledge in the intervention group significantly increased at immediately after the 3-month training but slightly declined at 3 months post-training completion (p < 0.001). …”
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Commentary: It's all about perspective: 3-dimensional visualization and surgical repair planning for complex congenital heart defectsCentral Message by Lauren E. Parker, BS, Gregory M. Sturgeon, BS, Nicholas D. Andersen, MD, Joseph W. Turek, MD, PhD, MBA

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Modeling and performance analysis of train communication network based on switched ethernet by Yu-zhuo ZHANG, Yuan CAO, Ying-hong WEN

“…In order to meet the information transmission requirements of large capacity,high speed and hard real-time in the future,switched ethernet was introduced to the train communication network (TCN).Messages of different priorities was investigated,and established the TCN transmission process model with determined and stochastic Petri nets (DSPN) in accordance to its communication scheduling mechanism.The influences of different switch scheduling algorithms to the delay were compared,and the relationships between throughput and message number,throughout and generating cy-cle were respectively investigated.The experimental results show that the priority scheduling algorithm can reduce the delay of real-time data under the condition of sacrificing non real-time data's delay.It also verify the throughput of TCN based on switched ethernet is much higher than that of the existing TCN,which can provide theoretical basis for the de-sign and optimization in the future.…”
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Research on Real Time Data Processing and Application of Urban Rail Train by ZENG Gaoping, WANG Lei

“…This paper mainly expounds a portable, scalable and efficient processing method base on train real-time data, which realizes the functions of rapid data verification, analysis, storage, sharing, push, etc., and supports the application system to realize real-time train monitoring and emergency response and disposal guidance, train daily inspection items self-inspection and other functions. …”
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Influence of Handprint Culture Training on Compliance of Healthcare Workers with Hand Hygiene by Hala Fouad, Mona M. A. Halim, HebatAllah F. Algebaly, Nardeen A. Elmallakh

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Using machine learning algorithms (supervised) to generate automatically labeled dataset for detecting digital dating abuse from text messages by Tania Roy, Thomas Maranzatto, Zachary Loomas

“…This poster explores using machine learning algorithms trained on human-annotated datasets to label more extensive crowd-sourced datasets and generate a larger training dataset for abuse detection algorithms. …”
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Machine learning−derived multivariable predictors of postcardiotomy cardiogenic shock in high-risk cardiac surgery patientsCentral MessagePerspective by Edward G. Soltesz, MD, MPH, Randi J. Parks, PhD, Elise M. Jortberg, MS, Eugene H. Blackstone, MD

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