Shared decision-making for pediatric acute otitis media in the United States: a randomized emergency department trial by Jana L. Anderson, Lucas Oliveira J. E. Silva, Erik P. Hess, Derek E. Vanmeter, Aidan Mullan, Juan P. Brito, Ian G. Hargraves, Fernanda Bellolio

“…Although no significant reduction in antibiotic prescribing was observed, this may be due to the study’s limited sample size, which increases the risk of Type II error. …”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…Meanwhile, typical spectral features in ZY1-02D satellite data were extracted, and a spectral dictionary was constructed for accurate reduction of details in low spectral resolution images. …”
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International Natural Uranium Price Prediction Based on TF-CNN-BiLSTM Model by YANG Jingzhe, XUE Xiaogang

“…The study meticulously constructed and trained the TF-CNN-BiLSTM model using TensorFlow with the Adam optimizer and mean squared error loss function. The training process was optimized with learning rate reduction and early stopping callbacks to prevent overfitting. …”

Effect of cooling temperature on machinability and hole quality in cryogenic drilling of CFRP/Ti stacks by Shunuan Liu, Zhijian Meng, Shiming Liang, Tao Wang, Hao Niu, Bin Luo, Kaifu Zhang

“…Compared to drilling at room temperature, the most significant improvement in hole quality is achieved at a cooling temperature of −25 °C, with a maximum reduction of 8.24 % in entrance delamination factor and 46.15 % in cylindricity error. …”
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Executive function and neural oscillations in adults with attention-deficit/hyperactivity disorder: a systematic review by Ziyao Su, Ziyao Su, Yingtan Wang, Yingtan Wang, Bin Wang, Bin Wang, Chuanliang Han, Haoran Zhang, Haoran Zhang, Yanyan Gu, Yanyan Gu, Yu Chen, Yu Chen, Xixi Zhao, Xixi Zhao, Yuwei Shi

“…These EEG changes may stem from impairments in error detection, cognitive control, and attention allocation, meaning that core EFs are affected in adults with ADHD. …”
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Prevalence and Clinical Correlates of Cerebrovascular Alterations in Fabry Disease: A Cross-Sectional Study by Daniele Di Natale, Salvatore Rossi, Gianmarco Dalla Zanna, Antonio Funcis, Tommaso Filippo Nicoletti, Ludovico Luca Sicignano, Elena Verrecchia, Angela Romano, Maria Gabriella Vita, Naike Caraglia, Francesca Graziani, Federica Re, Gisella Guerrera, Luca Battistini, Gabriella Silvestri

“…<b>Background/Objectives:</b> Fabry disease (FD) is an inborn error of the glycosphingolipid metabolism with variable kidney, heart, and central nervous system (CNS) involvement. …”
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Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density by Hangxing Zhao, Hangxing Zhao, Hangxing Zhao, Shenghui Yang, Shenghui Yang, Shenghui Yang, Wenwei Li, Wenwei Li, Han Feng, Han Feng, Shijie Jiang, Shijie Jiang, Weihong Liu, Weihong Liu, Jingbin Li, Yongjun Zheng, Yongjun Zheng, Songchao Zhang

“…A variable-rate spray control model and algorithm were then constructed to regulate spray flow according to the spatial distribution of leaf area density across the orchard.ResultsField experiments demonstrated that the system achieved a mean relative error of only 5.52% in spray flow rate regulation. …”
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Trends in the annual snow melt-out day over the French Alps and Pyrenees from 38 years of high-resolution satellite data (1986–2023) by Z. Barrou Dumont, Z. Barrou Dumont, S. Gascoin, J. Inglada, A. Dietz, J. Köhler, M. Lafaysse, D. Monteiro, C. Carmagnola, A. Bayle, J.-P. Dedieu, O. Hagolle, P. Choler

“…The SMOD reduction is robust and significant in most parts of the French Alps and can reach 1 month above 3000 <span class="inline-formula">m</span>. …”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…This metric considered overestimation and underestimation scenarios compared to ground truth, setting error upper and lower bounds to penalize data points exceeding error tolerance limits. …”
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Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods by Ke Chen, Youran Li, Jie Chen, Minyang Li, Qing Song, Yushui Huang, Xiaolong Wu, Yuanwu Xu, Xi Li

“…With this precision, the ANN model for SOEC hydrogen production prediction has positive implications for air pollution control strategies and the development of cleaner energy technologies, contributing to overall improvements in air quality and the reduction of atmospheric pollutants.…”
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Optimized Type-2 Fuzzy Logic Control for Low-Speed Vehicle Pedal Pressing Automation Using Hybrid Spiral Sine Cosine Algorithm by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Salmiah Ahmad, Mohd Ruzaini Hashim, Noor Zirwatul Ahlam Naharuddin, Addie Irawan

“…The results presented in this paper prove the fact that the analyzed Type 2 FLC optimized by the SSCA method performs better than the traditional Type 1 FLC in terms of the key metrics, with improvements of 32.4242% in overshoot, 0.364 seconds in settling time, and a reduction of 0.002009 in steady-state error at 2 km/h reference speed. …”
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Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…Unlike previous works that primarily focus on either dimensionality reduction or attribute sparsity independently, our method synergizes these aspects to enhance detection performance. …”
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Projections of single-level indirect lumbar interbody fusion volume and associated costs for Medicare patients to 2050 by Kyle A. Mani, BS, Samuel N. Goldman, BS, Noel Akioyamen, MD, Emily Kleinbart, BS, Yaroslav Gelfand, MD, Saikiran Murthy, DO, Jonathan Krystal, MD, Ananth Eleswarapu, MD, Reza Yassari, MD, Mitchell S. Fourman, MD, MPhil

“…By 2050, procedural volume accounting for COVID-19 reflects a 23.5% reduction compared to estimates that did not factor in COVID-19. …”
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Pengaruh Pemberian Vitamin A terhadap Penurunan Parasitemia Mencit Strain Swiss yang diinfeksi Plasmodium berghei by Umi Isnaeni, Retno Sri Iswari, Nugrahaningsih WH, R. Susanti

“…It can be concluded that the administration of vitamin A affects the reduction in parasitaemia of Plasmodium berghei in Switzerland strain mice.…”
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Dexamethasone administration restored growth in dairy calves exposed to heat stress by Z. Yu, J.M. Cantet, M.R.R. Nair, A.G. Ríus

“…Statistical analyses included a mixed model, fixed effects of ENV, INT, consecutive measurements taken over time (days, hours, or both), replica, and random effects of calf and error (SAS version 9.4, SAS Institute Inc., Cary, NC). …”
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Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa by Boris Ouattara, Michael Thiel, Barbara Sponholz, Heiko Paeth, Marta Yebra, Florent Mouillot, Patrick Kacic, Kwame Hackman

“…Based on a stratified random sampling, the validation results demonstrate varying levels of accuracy for the VIIRS-BA product across different confidence levels. The commission error (CE) ranges from 7.8% to 23.4%, while the omission error (OE) falls between 29.4% and 58.8%. …”
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The CoDiNOS trial protocol: an international randomised controlled trial of intravenous sildenafil versus inhaled nitric oxide for the treatment of pulmonary hypertension in neonat... by Anne Greenough, Thomas Schaible, Neil Patel, Dick Tibboel, Arno van Heijst, Theodore Dassios, Joost van Rosmalen, Viviana Arreo, Yogen Singh, Karel Allegaert, Suzan Cochius-den Otter, Florian Kipfmueller, Maria Dolores Elorza, Ana Sanchez, Leopoldo Martinez, Carlos Labrandero, Pertierra Cortada, Jordi Clotet Caba, Marta Aguar, Ana Gimeno, Raquel Escrig, Irma Capolupo, Pietro Bagolan, Fabrizio Ciralli, Genny Raffaeli, Giacomo Cavallaro, Valentina Condò, Paul D. Losty, Marie Horan, Nimish V. Subhedar, Emma E. Williams, Jennifer B. Brandt, Alexandra Kreissl, Berndt Urlesberger, Carmen Mesas Burgos, Björn Frenckner, Björn Larrson, Carla Pinto, Joana Saldaha, Anne Debeer, Anne Smits, Ragnhild Emblem, Richard Keijzer, Yassar Elsayed, David Tingay, Ulrike Kraemer

“…Different therapies are still mainly based on ‘trial and error’. Inhaled nitric oxide (iNO) is often the drug of first choice. …”
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EU-GAN: A root inpainting network for improving 2D soil-cultivated root phenotyping by Shangyuan Xie, Jiawei Shi, Wen Li, Tao Luo, Weikun Li, Lingfeng Duan, Peng Song, Xiyan Yang, Baoqi Li, Wanneng Yang

“…Compared with other methods, our approach significantly improves the recall rate from 17.35 % to 35.75 % on the test dataset of 122 cotton root images, revealing improved inpainting capabilities. The trait error reduction rates (TERRs) for the root area, root length, convex hull area, and root depth are 76.07 %, 68.63 %, 48.64 %, and 88.28 %, respectively, enabling a substantial improvement in the accuracy of root phenotyping. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation. …”
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Dynamic Surgical Prioritization: A Machine Learning and XAI-Based Strategy by Fabián Silva-Aravena, Jenny Morales, Manoj Jayabalan, Muhammad Ehsan Rana, Jimmy H. Gutiérrez-Bahamondes

“…Additionally, our methodology achieves a reduction in waiting times by up to 26%, demonstrating its effectiveness in optimizing surgical prioritization. …”
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