From inconsistency to sustainability: ICU night huddle compliance improvement through a structured QI approach by Prasobh PV Mukundan, Alisha Karki

“…Night shift handovers often occur separately for doctors and nurses, leading to inconsistent communication, unclear role delineation and missed safety-critical tasks. To address this, a structured ICU Night Huddle was introduced as a quality improvement (QI) initiative to enhance team coordination and compliance. …”
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The type of pathogen is associated with organ failure and legacy dysfunction in patients with sepsis by Qinfen Gao, Zengzheng Li, Zengzheng Li, Zengzheng Li, Zengzheng Li, Jiawei Geng, Bin Han, Tonghua Yang, Shuai Feng, Shuai Feng, Shuai Feng, Shuai Feng, Lijuan Zhao, Yajun Teng, Yafei Li, Renbin Zhao, Renbin Zhao, Renbin Zhao, Renbin Zhao, Wei Zhang, Yi Wang, Yajie Wang, Yajie Wang, Yajie Wang, Yajie Wang

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Reliability and validity of a national intelligent infectious disease surveillance and early warning maturity questionnaire by Qingliang LIU, Qing GUO, Gang LI, Zixiong ZHAO, Xuejie DU, Jiaqi MA

“…ResultsIn the item analysis, six items did not meet the standard: IT infrastructure construction, coverage of security measures such as cloud desktop and cloud terminal, adoption of national information standards for the informatization construction of infectious disease surveillance and early warning, ability to call national application programming interfaces (APIs) and use software development kits (SDKs) to achieve application integration, missed reporting rate of infectious diseases, and proportion of confirmed cases in the syndromic surveillance of infectious diseases. …”
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Developing a Transparent Anaemia Prediction Model Empowered With Explainable Artificial Intelligence by Muhammad Sajid Farooq, Muhammad Hassan Ghulam Muhammad, Oualid Ali, Zahid Zeeshan, Muhammad Saleem, Munir Ahmad, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal

“…The model simulation results are showing promising results in terms of the accuracy (98.13%) and the miss-rate (1.87%) which are the superior performance compared to the previous published approaches.…”
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Strain Decay Monitoring and Analytical Prediction of RC Columns Using Brillouin Optical Technology and Time-Dependent Deterioration Factor by Ittipon Pasityothin, Phromphat Thansirichaisree, Apichat Buatik, Thanongsak Imjai, Radhika Sridhar, Reyes Garcia, Takafumi Noguchi

“…Unlike conventional strain gauges, BOTDA provided a continuous strain profile along the column height, accurately capturing strain decay with a resolution exceeding 95%, enabling the detection of localized strain reductions often missed by traditional methods. The integration of η_decay into ACI 318 and Eurocode 2 models conservatively improved predictions, particularly for specimens tested with long-term testing (720 days), with experimental-to-predicted (E/P) ratios of 1.42 and 1.29, respectively, compared to higher discrepancies in the original codes. …”
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EcoDetect-YOLOv2: A High-Performance Model for Multi-Scale Waste Detection in Complex Surveillance Environments by Jing Su, Ruihan Chen, Mingzhi Li, Shenlin Liu, Guobao Xu, Zanhong Zheng

“…Even with surveillance imagery, challenges such as cluttered backgrounds, scale variation, and small object sizes often lead to missed detections and reduced robustness. To address these challenges, this study introduces EcoDetect-YOLOv2, a lightweight and high-efficiency object detection model developed using the Intricate Environment Waste Exposure Detection (IEWED) dataset. …”
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Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in t... by Nichel Marquez, Erwin John Carpio, Mary Rosary Santiago, Jeremiah Calderon, Ruth Orillaza-Chi, Shawnee Shaine Salanap, Lisa Stevens

“…We aimed to comprehensively review AI-CAD’s real-life performance in the local context to support refining its integration into the country’s programmatic TB elimination efforts. …”
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Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model by Vimalsinh Vala, Rajvir Yadav, Bikram Jyoti, Ali Salem, Ajay K Roul, Rahul Potdar, Ankur Srivastava, Ahmed Elbeltagi

“…Mechatronics-based systems show promise by integrating IoT and robotics to enhance precision and efficiency in planting operations. …”
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Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery by Andrii Zaiats, T. Trevor Caughlin, Jennyffer Cruz, David S. Pilliod, Megan E. Cattau, Rongsong Liu, Richard Rachman, Maisha Maliha, Donna Delparte, John D. J. Clare

“…We present a model that accounts for false negative (missed plants) and false positive (misclassified or double‐counted plants) error in counts from high‐resolution imagery via integration with ground data. …”
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An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening by Suzanne L. van Winkel, Ioannis Sechopoulos, Alejandro Rodríguez-Ruiz, Wouter J. H. Veldkamp, Gisella Gennaro, Margarita Chevalier, Thomas H. Helbich, Tianyu Zhang, Matthew G. Wallis, Ritse M. Mann

“…Calcifications were observed in 27% of human-missed cancers (42/154) versus 18% of AI-missed cancers (38/210). …”
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Augmenting precision medicine via targeted RNA-Seq detection of expressed mutations by Dan Li, Jianying Li, Donald J. Johann, Daniel Butler, Guangchun Chen, Jonathan Foox, Binsheng Gong, Wendell Jones, David P. Kreil, Rebecca Kusko, Paweł P. Łabaj, Anne Bergstrom Lucas, Christopher E. Mason, Christopher Mozsary, Natalia Novoradovskaya, Carlos Pabón-Peña, Bohu Pan, Todd A. Richmond, Roberta Maestro, Sayed Mohammad Ebrahim Sahraeian, Andreas Scherer, Hagen U. Tilgner, James C. Willey, Pierre R. Bushel, Joshua Xu

“…Variants missed by RNA-seq are often not expressed or expressed at very low levels, suggesting they may be of lower clinical relevance. …”
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A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images by Haima Yang, Yeye Song, Yuling Li, Zubei Hong, Jin Liu, Jun Li, Dawei Zhang, Le Fu, Jinyu Lu, Lihua Qiu

“…This oversight can lead to missed or delayed diagnosis and treatment for patients with VAIN. …”
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DCE-YOLOv8: Lightweight and Accurate Object Detection for Drone Vision by Jinsu An, Dong Hee Lee, Muhamad Dwisnanto Putro, Byeong Woo Kim

“…Additionally, the efficient integration of these extracted features is crucial. …”
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Irregularly Sampled Time Series Interpolation for Detailed Binary Evolution Simulations by Philipp M. Srivastava, Ugur Demir, Aggelos Katsaggelos, Vicky Kalogera, Shamal Lalvani, Elizabeth Teng, Tassos Fragos, Jeff J. Andrews, Simone S. Bavera, Max Briel, Seth Gossage, Konstantinos Kovlakas, Matthias U. Kruckow, Camille Liotine, Kyle A. Rocha, Meng Sun, Zepei Xing, Emmanouil Zapartas

“…Modeling of large populations of binary stellar systems is an integral part of many areas of astrophysics, from radio pulsars and supernovae to X-ray binaries, gamma-ray bursts, and gravitational-wave mergers. …”
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Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System by Xiao Liao, Wei Cui, Min Zhang, Aiwu Zhang, Pan Hu

“…Key innovations include (1) a balanced loss function combining focal loss (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula> = 0.65, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula> = 1.2), Dice loss (weight = 0.5), and contrastive learning (weight = 0.03) to reduce over-rejection by 73.4%; (2) an ensemble verification strategy using multithreshold voting, achieving 91.2% accuracy; (3) optimized sample weighting prioritizing missed positives (weight = 10.0); (4) comprehensive feature extraction, including frequency domain and entropy features; and (5) integration of a generative time series model (TimER) for high-precision recovery of tampered data points. …”
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Understanding household-level risk factors for zero dose immunization in 82 low- and middle-income countries. by Brooke Amara Farrenkopf, Xiaobin Zhou, Anita Shet, Folake Olayinka, Kelly Carr, Bryan Patenaude, Onyema Greg Chido-Amajuoyi, Chizoba Wonodi

“…<h4>Discussion</h4>A lack of access to maternal health care was a strong risk factor of zero dose status and highlights important opportunities to improve the quality and integration of maternal and child health programs. Additionally, because a substantial proportion of zero dose children and their mothers do receive appropriate care, approaches to reach zero dose children should incorporate mitigating missed opportunities for vaccination.…”
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Predicting bone metastasis risk of colorectal tumors using radiomics and deep learning ViT model by Guanfeng Chen, Wenxi Liu, Yingmin Lin, Jie Zhang, Risheng Huang, Deqiu Ye, Jing Huang, Jieyun Chen

“…Conclusion: The integration of radiomics with ViT-based deep learning offers a robust and accurate method for predicting bone metastasis risk in colorectal cancer patients. …”
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The Effect of the Virtual Reality–Based Biofeedback Intervention DEEP on Stress, Emotional Tension, and Anger in Forensic Psychiatric Inpatients: Mixed Methods Single-Case Experime... by Lisa Klein Haneveld, Tessa Dekkers, Yvonne H A Bouman, Hanneke Scholten, Joanneke Weerdmeester, Saskia M Kelders, Hanneke Kip

“…This highlights the importance for the structural integration of DEEP into current treatment protocols.…”
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Assessment of genetic diversity among seed transfer zones for multiple grassland plant species across Germany by Walter Durka, Stefan G. Michalski, Johannes Höfner, Anna Bucharova, Filip Kolář, Christina M. Müller, Christoph Oberprieler, Kristýna Šemberová, Markus Bauer, Matthias Bernt, Walter Bleeker, Stefan Brändel, Solveig Franziska Bucher, Pia Maria Eibes, Michael Ewald, Ronny Goldberg, Kerstin Grant, Sylvia Haider, Alexander Harpke, Friedhelm Haun, Rico Kaufmann, Lotte Korell, Dierk Kunzmann, Daniel Lauterbach, Simon Leib, Nikola Lenzewski, Holger Loritz, Anna-Maria Madaj, Ann Kareen Mainz, Philipp Meinecke, Hanna Mertens, Maren H. Meyer, Martin Musche, Michael Ristow, Christoph Rosche, Christiane Roscher, Daniel Rutte, Annemarie Schacherer, Wolfgang Schmidt, Joraine Schmoldt, Simone Schneider, Jan-Hinnerk Schwarz, Sandra Skowronek, Stephanie A. Socher, Nils Stanik, Alina Twerski, Karin Weiß, Martin Weiß, Alexander Wille, Andreas Zehm, Christian Zidorn

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Selected Abstracts of the 20th International Workshop on Neonatology and Pediatrics; Cagliari (Italy); October 23-26, 2024 by --- Various Authors

“…Masnata (Cagliari, Italy) ABS 39. MISSING A PINCH OF SALT IN A NEONATE • F. Sansone, V. …”
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