Clinical and cost-effectiveness of detailed anomaly ultrasound screening in the first trimester: a mixed-methods study by Jehan N Karim, Helen Campbell, Pranav Pandya, Edward C F Wilson, Zarko Alfirevic, Trish Chudleigh, Elizabeth Duff, Jane Fisher, Hilary Goodman, Lisa Hinton, Christos Ioannou, Edmund Juszczak, Louise Linsell, Heather L Longworth, Kypros H Nicolaides, Anne Rhodes, Gordon Smith, Basky Thilaganathan, Jim Thornton, Gillian Yaz, Oliver Rivero-Arias, Aris T Papageorghiou

“…Background In the United Kingdom, pregnant women are offered two scans: at 11–14 and 18–20 weeks’ gestation. Current guidance supports fetal anatomical screening at the second scan, but evidence suggests earlier detection is possible. …”
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A Cross-Sectional Evaluation of Opioid Dispensing Competencies in Final-Year Pharm-D Students: A Multicenter Study from Punjab, Pakistan by Mubarak N, Rahman Rana F, Zahid T, Ijaz UEB, Shabbir A, Ghulam Bari A, Niaz B, Kanwal S, Saif-Ur-Rahman N, Iqbal Z, Khan AM, Zin CS, Mahmood K, Elnaem MH, Tariq S

“…Competency in this area is essential for reducing the risk of opioid misuse and overdose, ensuring safe and effective patient care, and supporting broader public health efforts to combat the opioid crisis. …”
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Short-Term Traffic Flow Forecasting Model Based on GA-TCN by Rongji Zhang, Feng Sun, Ziwen Song, Xiaolin Wang, Yingcui Du, Shulong Dong

“…The results indicate that the model proposed in this paper has a better adaptability and higher prediction accuracy in short-term traffic flow forecasting compared with the existing models. The proposed model can provide important support for the formulation of a dynamic traffic control scheme.…”
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On Extended Numerical Discretization Technique of Fractional Models with Caputo-Type Derivatives by Reem Allogmany, S. S. Alzahrani

“…The ENDT method offers accuracy, stability, and efficiency compared to traditional methods. It effectively handles challenges in complex systems, supports any fractional order, is simple to implement, improves computing efficiency with sophisticated methodologies, and applies it to epidemic predictions and biological simulations.…”
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TCN enhanced novel malicious traffic detection for IoT devices by Liu Xin, Liu Ziang, Zhang Yingli, Zhang Wenqiang, Lv Dong, Zhou Qingguo

“…Time Convolutional Network (TCN) is a high-speed neural network suitable for massively parallel computation. In this paper, we propose Multi-class S-TCN, an improved network supporting multiple classifications based on TCN for the practical needs of IoT scenarios. …”
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Optimisation of the deployment of automated external defibrillators in public places in England by Terry P Brown, Lazaros Andronis, Asmaa El-Banna, Benjamin KH Leung, Theodoros Arvanitis, Charles Deakin, Aloysius N Siriwardena, John Long, Gareth Clegg, Steven Brooks, Timothy CY Chan, Steve Irving, Louise Walker, Craig Mortimer, Sandra Igbodo, Gavin D Perkins

“…The study was divided into four work packages (WPs): (1) exploration of the characteristics and coverage of current locations of AEDs relative to the location of historical OHCAs; (2) comparison of the OHCA coverage of various AED deployment strategies (POIs and grid-based) and an optimisation model with the current coverage; (3) determination of the cost-effectiveness of the strategies in WP2 compared to current placement (CP); and (4) development of a national consensus of the optimal location for public-access AEDs. …”
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Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging by Prakash Nimbalkar, Anna Jarocinska, Bogdan Zagajewski

“…The optimal bands were investigated using supervised classifiers such as artificial neural network (ANN), support vector machine (SVM), and spectral angle mapper (SAM) by comparing accuracies. …”
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Key Parameters of the Roof Cutting and Pressure Relief Technology in the Pre-Splitting Blasting of a Hard Roof in Guqiao Coal Mine by Hanlin You, Zegong Liu

“…The phenomenon of crushing the support of the hard roof of a coal seam occurs occasionally during the coal mining process. …”
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Visual analysis of fruit harvesting machine based on CiteSpace by YANG Daorina, ZHANG Fengkui, WANG Yulong, HE Ruohong, ZHU Jikui, LI Ping

“…The research results would provide strong support for relevant researchers to deeply understand the research status of this field from the macro level, and provide valuable reference for its exploration in the future development direction and the practice of technological innovation.…”
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A Robust Vibration Control of a Magnetorheological Damper Based Railway Suspension Using a Novel Adaptive Type 2 Fuzzy Sliding Mode Controller by Sy Dung Nguyen, Dongsoo Jung, Seung-Bok Choi

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Precision enhancement in wireless capsule endoscopy: a novel transformer-based approach for real-time video object detection by Tsedeke Temesgen Habe, Keijo Haataja, Pekka Toivanen

“…Its clinical potential lies in supporting faster and more accurate diagnosis. Future work will focus on further optimization and deployment in endoscopic video analysis systems.…”
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Simplifying Field Traversing Efficiency Estimation Using Machine Learning and Geometric Field Indices by Gavriela Asiminari, Lefteris Benos, Dimitrios Kateris, Patrizia Busato, Charisios Achillas, Claus Grøn Sørensen, Simon Pearson, Dionysis Bochtis

“…The developed model showed also strong predictive performance for indicative agricultural fields located in Europe and North America, reducing considerably the computational time by an average of 73.4% compared to the corresponding analytical approach. …”
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Backfire Effect Reveals Early Controversy in Online Media by Songtao Peng, Tao Jin, Kailun Zhu, Qi Xuan, Yong Min

“…Our work highlights a new psychological perspective on conflict behavior in online discussions and bridges behavioral patterns and computational modeling.…”
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Scaling Amphiphilicity with Janus Nanoparticles: A New Frontier in Nanomaterials and Interface Science by Mirela Honciuc, Andrei Honciuc

“…By comparing surfactant behavior and JNP assembly, this work aims to clarify the transferable principles, the knowledge gap, as well as the emergent properties associated with amphiphilic Janus colloids.…”
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Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization by Lane E. Schultz, Benjamin Afflerbach, Paul M. Voyles, Dane Morgan

“…We have developed a machine learning model for critical cooling rates for metallic glasses based on computational properties, supporting in-silico screening for desired Rc values and significantly reducing reliance on time-consuming laboratory work. …”
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Exploring the antihypertensive potential of natural compounds from Zygophyllum sp plant: An in-silico investigation of ACE inhibition by Bouchentouf Salim, Arbi Bouziane, Kowalska Grazyna, Kowalski Radoslaw

“…Using molecular docking methodology, we investigated the inhibitory effects of these compounds on the ACE enzyme (PDB: 1UZF). Our work demonstrated that several molecules exhibited promising binding scores compared to established reference ligands, suggesting potential ACE-inhibiting properties. …”
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Strength, Environmental Impact and Cost Assessment of Alkali-Activated Concrete with Pre-treated Coarse Recycled Aggregates by MD Ikramullah Khan, V. Vinayaka Ram, Vipulkumar Ishvarbhai Patel

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Toward Sustainable Agriculture: DPA-UNet for Semantic Segmentation of Landscapes Using Remote Sensing Imagery by J. Kavipriya, G. Vadivu

“…The findings confirm that DPA-UNet provides a scalable, precise, and computationally efficient solution for large scale agricultural monitoring, therefore supporting applications in sustainable land management, informed policy decision making, and precision farming.…”
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New local health officials: health departments’ newest leaders by Chelsey Kirkland, Noah Yee Westfall, Krishna Patel, Timothy C. McCall, Timothy C. McCall, Jonathon P. Leider

“…Descriptive characteristics were computed comparing new LHOs with experienced LHOs based on work status, age, gender, race/ethnicity, education level, rurality and size of the jurisdiction.ResultsApproximately 30% of all LHOs are new (<2 years of experience) with no difference among jurisdiction sizes or rurality. …”
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UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework by Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao

“…For specific algorithms, our implementation achieves a state of the art acceleration effect compared to previous work. For the end-to-end acceleration performance, we gain <inline-formula> <tex-math notation="LaTeX">$12\times $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$7.7\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$2.2\times $ </tex-math></inline-formula> improvement on GPU, ASIC and FPGA respectively, compared to CPU in large-scale vertical linear regression training tasks.…”
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