Striking the right balance between accountability and quality improvement: a discharge summary timeliness tale by Alan Gob, Mark Goldszmidt, Louise Moist, George Dresser, Tsan-Hua Tung

“…In contrast, those who edited before authentication took longer to authenticate with a median difference of 5 hours (p<2.2e−16) and were less likely to meet the 48-hour target (OR 0.67, 95% CI 0.6028, 0.7521).Discussion Our findings are important for both regulators and QI practitioners and highlight the importance of defining clinically meaningful targets while also considering their impact on quality and education. …”
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Near Real-Time Data-Driven Adaptive RAN Slicing of VR Traffic in ORAN by Andreas Casparsen, Beatriz Soret, Jimmy Jessen Nielsen, Petar Popovski

“…Aggregating users reduces resource overprovisioning by 30%, though it introduces a slight increase in end-to-end latency offset. Across target latencies ranging from 10 to 16.67 ms, our evaluations show a stable average offset of 0.6 ms.…”
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Failure mechanism-driven multi-adversarial domain transfer learning for rolling bearing fault diagnosis by Zhihui Zhang, Zhidan Zhong, Zhe Li, Wentao Mao, Yunhao Cui

“…Furthermore, they are prone to negative transfer, which reduces diagnostic accuracy when significant discrepancies exist between the source and target domains. To address these challenges, this paper proposes a Failure Mechanism-Driven Multi-Adversarial Domain Transfer Learning algorithm. …”
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Toward 6G: Deep GRU and RNN Empowered MVDR and LCMV Adaptive Beamformers for IRS-Aided Wireless Environments by D. L. Sharini, Ravilla Dilli, M. Kanthi, G. D. Goutham Simha

“…Additionally, the GRU-integrated MVDR approach achieves target BER levels at notably lower transmit power of ~8 dBm and enhancements of ~6 dBm under imperfect Channel State Information (CSI) scenarios in comparison with other schemes.…”
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application by Roman Rodriguez-Aguilar, Jose-Antonio Marmolejo-Saucedo, Utku Köse

“…Additionally, the recall findings suggest that this model is effective in detecting the target classes of meningiomas, pituitary tumors, and gliomas. …”
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Research on Foreign Object Intrusion Detection for Railway Tracks Utilizing Risk Assessment and YOLO Detection by Shanping Ning, Rui Guo, Pengfei Guo, Lu Xiong, Bangbang Chen

“…It achieves a 3.7% improvement in mean average precision (mAP) compared to the baseline model. …”
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Associations between socioeconomic position and changes in children’s screen-viewing between ages 6 and 9: a longitudinal study by Ruth E Salway, Lydia Emm-Collison, Simon Sebire, Janice L Thompson, Russ Jago

“…Strategies to manage child sedentary time, and particularly screen-viewing, may need to take account of the socioeconomic differences and target strategies to specific groups.…”
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Eculizumab in thymoma-associated myasthenia gravis: a real-world cohort study by Lei Jin, Dingxian He, Quantao Zeng, Song Tan, Jianquan Shi, Ying Liu, Zhangyu Zou, Jie Song, Chong Yan, Xiao Huan, Yuan Wang, Lei Yang, Jianying Xi, Zongtai Wu, Ziqi Liu, Jianming Zheng, Chongbo Zhao, Xianglin Chu, Sushan Luo

“…Eculizumab, an inhibitor to target human C5 component of the complement cascade, is considered a treatment option for refractory generalized MG (gMG). …”
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Exploring causal pathways for factors associated with neonatal, infant and under-five mortality, analysis of 2015-2016 Myanmar Demographic Health Survey by Ngatho Samuel Mugo, Kyaw Swa Mya, Camille Raynes-Greenow

“… # Conclusions Improving survival of under-five children in Myanmar will require implementing evidence-based interventions that target population sub-groups such as poor households, neonates with low birth weight and size; improving women's access to family planning services and enhancing women and adolescent girl's education attainment.…”
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Tomato leaf disease detection method based on improved YOLOv8n by Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang

“…Experimental results show that the improved model achieves an average precision of 81.8%, precision of 77.1%, and recall of 77.4%. …”
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A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization. by Gareth Gallagher, Ra'ed Malallah, Jonathan P Epperlein, Jeffrey Dalli, Niall Hardy, Abhinav Jindal, Pol G MacAonghusa, Ronan A Cahill

“…The imaging probe is capable of 133µm minimum object resolution, with a maximum working distance of 50mm and an excitation illumination power of 52mW with 75o average field of illumination (meaning minimum device tip distance from target is 13 mm for a 2 cm polyp). …”
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Evaluation of Hand-Scaling Skills of Dental Hygienist Students: Identification of Contact Between Hand-Scaler Blade Tip and Tooth Surface by Tomoko Yui, Sung-Gwi Cho, Yuki Sato, Yasuaki Orita, Ming Ding, Jun Takamatsu, Takahiro Wada, Tsukasa Ogasawara

“…The contact state of the blade, whether it was the tip or the middle, was identified using 18 features, including the average and standard deviation of nine dimensions of force, acceleration, and angular velocity with a support vector machine (SVM). …”
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Global burden of lung cancer in women of childbearing age attributable to ambient particulate matter pollution: 1990–2021 by Ying‐da Song, Ruizhe Wang, Jia‐xuan Wang, Xun‐wu Tan, Jun Ma

“…Furthermore, increasing attention should be paid to the middle SDI region, East Asia, and China, as ambient PM pollution remains a critical target for intervention.…”
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Efficacy and safety profile of Onabotulinum toxin-A injection at sphenopalatine ganglion in trigeminal neuralgia: a prospective observational study by Marvin Thepsoparn, Prakit Anukoolwittaya, Patcharapol Toeypromthong, Chanon Thanaboriboon

“…Abstract Introduction The sphenopalatine ganglion (SPG) plays a role in orofacial pain and headaches and is a target for pain modulation. Onabotulinum toxin-A injections have been described as a treatment for several neuropathic pain conditions. …”
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TapFix: Cursorless Typographical Error Correction for Touch-Sensor Displays by Nicholas Dehnen, I. Scott MacKenzie, Aijun An

“…Instead, the method allows for direct, character-level access, offering easy-to-use swipe gestures on a zoomed-in target word for corrective actions. A user study with 15 participants compared TapFix to two traditional text correction methods on Apple iOS. …”
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Production of Thin Pb_xSn_1–xTe Films by “Hot Wall” Method for Creating IR-Photodetectors by V. A. Ivanov, V. V. Krasovskii, V. F. Gremenok, L. I. Postnova

“…The X-ray spectra of thin films have been in satisfactorily agreement with the spectra of the powder target and indicated the absence of binary phases. …”
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A Unmanned Aerial Vehicle-Based Image Information Acquisition Technique for the Middle and Lower Sections of Rice Plants and a Predictive Algorithm Model for Pest and Disease Detec... by Xiaoyan Guo, Yuanzhen Ou, Konghong Deng, Xiaolong Fan, Ruitao Gao, Zhiyan Zhou

“…In disease prediction, the YOLOv8 target detection algorithm and lightweight Transformer network are adopted to determine the detection performance of small targets. …”
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Comparative assessment of plasticity, stability and homeostasis based on ‘1000 grain weight’ in winter rye cultivars developed at VIR by N. I. Aniskov, I. V. Safonova

“…The experimental part of the work was carried out in 2012–2017, in the experimental fields of Pushkin and Pavlovsk Laboratories of VIR. The target material was the accessions of low-pentosan winter rye cultivars developed at VIR. …”
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Estimation of Anthropogenic Carbon Dioxide Emissions in China: Remote Sensing with Generalized Regression Neural Network and Partition Modeling Strategy by Chen Chen, Kaitong Qin, Songjie Wu, Bellie Sivakumar, Chengxian Zhuang, Jiaye Li

“…The present methods and findings offer critical insights for supporting government policy-making and target-setting.…”
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Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…First, relevant parameter data of a certain enterprise’s generator can be collected on-site, and the Pearson correlation coefficient method can be used to calculate the correlation between the generator data parameters and the target fault type, ensuring the degree of correlation in extracting data features. …”
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