Introducing an abdominal paracentesis procedure box in the acute gastroenterology ward environment: a quality improvement and audit project by Sean Gill, Margaret Corrigan, Ashley Coope, Fred Fyles

“…We recommend the adoption of procedure boxes or similar variations in other departments seeking to standardise practice within an institution.…”
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A review of studies on the impact of hydrogen-blended natural gas on the performance of terminal gas equipment by Jianguo FENG, Hengjin LUO, Chaokui QIN, Dongqing PENG, Zhiguang CHEN, Jian CAI

“…Industrial gas equipment can benefit from improved combustion efficiency and reduced carbon emissions due to hydrogen blending. …”
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A study on the advancement of building energy simulations: Utilizing ChatGPT to enhance occupancy rate predictions and sustainability outcomes by Jae-Woo Lee, Kyung-Soon Park, Yong-Joon Jun, Seon-Hye Eom

“…Existing occupancy schedules often fail to adequately reflect building types, user characteristics, and regional variations. To address this problem, research studies are being conducted to obtain more precise occupancy schedules through various methods such as surveys, physical sensors, Wi-Fi data, and deep learning models. …”
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SF-DETR: A Scale-Frequency Detection Transformer for Drone-View Object Detection by Haotong Wang, Junwei Gao

“…Current detection methods struggle to address these challenges while maintaining computational efficiency effectively. …”
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Enhancing Real-Time Aerial Image Object Detection with High-Frequency Feature Learning and Context-Aware Fusion by Xin Ge, Liping Qi, Qingsen Yan, Jinqiu Sun, Yu Zhu, Yanning Zhang

“…Extensive experiments and ablation studies on three public aerial image datasets validate that our proposed VMC-DETR framework effectively balances accuracy and computational efficiency, consistently outperforming state-of-the-art methods.…”
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Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure. by Amanda Craine, Adarsh Krishnamurthy, Christopher T Villongco, Kevin Vincent, David E Krummen, Sanjiv M Narayan, Roy C P Kerckhoffs, Jeffrey H Omens, Francisco Contijoch, Andrew D McCulloch

“…To increase clinical translatability, we also explored whether streamlined computational methods provide accurate estimates of regional myocardial work. …”
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Changes in the levels of adipokines in newly diagnosed pulmonary tuberculosis patients in case of treatment failure by R. M. Yasinskyi, O. M. Raznatovska

“…The leptin/adiponectin ratio was significantly lower than that in patients who completed the treatment efficiently. Conclusions. Patients with newly diagnosed pulmonary tuberculosis with the risk of treatment failure are diagnosed with severe disorders of adipocyte functional activity, that antimycobacterial chemotherapy could not even restore the balance to the adipokine system and smooth down resulting concomitant variations in immune response. …”
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Optimization of PID Controllers Using Groupers and Moray Eels Optimization with Dual-Stream Multi-Dependency Graph Neural Networks for Enhanced Dynamic Performance by Vaishali H. Kamble, Manisha Dale, R. B. Dhumale, Aziz Nanthaamornphong

“…Additionally, it minimizes overshoot to 1.5% and reduces the steady-state error to just 0.005 V, demonstrating superior accuracy and efficiency compared to existing methods. These improvements demonstrate the system’s ability to deliver optimal performance while effectively adapting to dynamic environments, showcasing its superiority over existing techniques.…”
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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network by G. Srinivasan, Kumar Reddy Cheepati, B. Srikanth Goud, Mohammed Alqarni, Basem Alamri, Ch. Rami Reddy

“…The reductions in E_Loss achieved by LFM-SOA have been compared with those of other existing methods in the literature for all the cases. The results reveals that the developed methodology efficiently achieves more EBs ($) for all the cases by optimizing DNSA with and without RPIs and IREGs.…”
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Emulation With Uncertainty Quantification of Regional Sea‐Level Change Caused by the Antarctic Ice Sheet by Myungsoo Yoo, Giri Gopalan, Matthew Hoffman, Sophie Coulson, Holly Kyeore Han, Christopher K. Wikle, Trevor Hillebrand

“…We build a physics‐based emulator using a recent sensitivity kernel approach and compare it to machine learning based emulators (neural network and conditional variational autoencoder methods). In order to quantify uncertainty, we derive well‐calibrated prediction intervals for regional sea‐level change via split‐conformal inference and linear regression, and show that Monte Carlo dropout does not yield well‐calibrated uncertainties in this instance. …”
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Bayesian Optimization-Based State-of-Charge Estimation with Temperature Drift Compensation for Lithium-Ion Batteries by Zhen-Rong Yuan, Ke-Feng Huang, Cai-Hua Xu, Jun-Chao Zou, Jun Yan

“…By comparing with traditional methods, the proposed algorithm, introducing a temperature-adaptive mechanism and a dynamic parameter updating strategy, can effectively address the estimation limitations under severe temperature variations and initial SOC uncertainties. …”
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Purification and Molecular Characterization of a Mammalian Neurotoxin as a Pharmaceutical Tool from the Venom of Iranian Scorpion Androctonus crassicauda by Hadi Rabiei, Abbas Zare Mirakabadi, Bita Mohtat, Behrooz Mirza

“…Phylogenetic analysis displays the toxin has 97% sequence similarity with alpha toxins reported from north African scorpions that affect voltage-gated sodium channels (VGSC), also proposed that differentiation among the scorpions of family Buthidae is affected by the geographical conditions and efficiency in evolutionary varia­tions. AnCra2 exposed binding residues have a high affinity for receptor residues in site-3 (segment-3) of VGSC that are approved by three-dimensional structure and homology modeling. …”
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Performance Evaluation of Pressure Swing Adsorption for Hydrogen Separation from Syngas and Water–Gas Shift Syngas by Aleksander Krótki, Joanna Bigda, Tomasz Spietz, Karina Ignasiak, Piotr Matusiak, Daniel Kowol

“…Effective purification methods are essential to ensure high hydrogen purity for various applications, particularly fuel cells, chemical synthesis, or automotive fuel. …”
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The analysis of activity of the construction organizations based on studying of profit indicators by A. V. Sharkova, T. I. Chinaeva, A. S. Klepackaya

“…Methodological basis of the research is statistical methods of data analysis: comparative and dynamical analysis, variational analysis, correlation and regression analysis.Results. …”
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Microbial communities during the composting process of Agaricus subrufescens and their effects on mushroom agronomic and nutritional qualities by Chunxia Wang, Dongxia Wang, Chao Li, Zhaopeng Ge, Liubin Hao, Gadah Albasher, Fan Feng, Yue Sun, Yanfen Lyu, Yanfen Lyu, Suyue Zheng

“…IntroductionTunnel composting technology for preparing Agaricus subrufescens cultivation media can achieve a higher biological efficiency (BE) and a lower contamination rate (CR). …”
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Research on Underwater Target Detection Technology Based on SMV-YOLOv11n by Dongcheng Liao, Yijun Shen, Jinyu Ou, Yanlian Du

“…High-precision underwater object detection is a crucial component for improving the efficiency of marine resource development. Traditional detection methods face challenges due to underwater environmental factors such as low brightness and high blurriness. …”
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Control Optimization of Steam Boilers via Reinforcement Learning by Emmanuel Okafor, Maad Alowaifeer

“…The adaptive fusion mechanism dynamically modulates control actions (feedwater flow and applied heat) in response to system variations, ensuring superior stability. Furthermore, a novel nonlinear settling time algorithm is introduced to accurately assess transient responses in complex signals, addressing the limitations of conventional methods. …”
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Dynamic Agricultural Pest Classification Using Enhanced SAO-CNN and Swarm Intelligence Optimization for UAVs by Shiwei Chu, Wenxia Bao

“…The rapid advancement of agricultural modernization demands urgent solutions for accurate and real-time pest monitoring to enhance crop productivity. Traditional manual methods lack efficiency and fail to capture dynamic pest behaviors, while existing deep learning models struggle with robustness in complex environments. …”
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AI-powered smart hydrological measurement using deep vision integrated with BeiDou high precision positioning by Zhiqiang He, Dongxiang Zhang, Qian Wang

“…As per the early investigations, most modern methods struggle with significant limitations regarding precise monitoring and tracking ability. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…The framework employs a list of techniques including load-level detection, home vacancy detection, and weather-sensitivity analysis and statistical methods to provide detailed insights into building energy dynamics. …”
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