Understanding EMS response times: a machine learning-based analysis by Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente

“…The findings aim to inform strategies for enhancing resource allocation and operational efficiency in EMS systems. Methods A retrospective analysis was conducted using over one million EMS missions from Stockholm, Sweden, between 2017 and 2022. …”
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Quantifying complexity in DNA structures with high resolution Atomic Force Microscopy by Elizabeth P. Holmes, Max C. Gamill, James I. Provan, Laura Wiggins, Renáta Rusková, Sylvia Whittle, Thomas E. Catley, Kavit H. S. Main, Neil Shephard, Helen. E. Bryant, Neville S. Gilhooly, Agnieszka Gambus, Dušan Račko, Sean D. Colloms, Alice L. B. Pyne

“…Our pipeline uses deep-learning methods to trace the backbone of individual DNA molecules and identify crossing points, efficiently determining which segment passes over which. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…This study proposes a novel hybrid model for water quality prediction. [Methods] First, the original water quality sequence was decomposed using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). …”
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Hybrid Electrocoagulation–Adsorption Process for Montelukast Sodium Removal from Water by Sayedali Mirkhalafi, Khalid S. Hashim, Osamah Al-Hashimi, Ali Majdi

“…Finally, the combined EC-A process, with the pH of residual water adjusted to 3, further enhanced the removal efficiency to 74%, highlighting the method’s potential for pharmaceutical contaminant removal. …”
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Ethical Challenges and Opportunities of AI in End-of-Life Palliative Care: Integrative Review by Abel García Abejas, David Geraldes Santos, Fabio Leite Costa, Aida Cordero Botejara, Helder Mota-Filipe, Àngels Salvador Vergés

“…While AI shows promise for improving efficiency and personalization, consolidated real-world examples of efficiency and equity remain scarce. …”
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Evaluation of The Hydraulic and Field Performance of Center Pivot Irrigation Systems in a Semi-Arid Climate by Zechariah Jeremaiho Othong, Abdul-Ganiyu Shaibu, Abdul-Halim Abubakari

“…Aim of the study: This study aims to evaluate the hydraulic and field performance of center irrigation systems in a semi-arid climate to determine their efficiency and effectiveness in optimizing water use and crop yield in such conditions. …”
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Quality Analysis of Crude Palm Oil Using Free Fatty Acid Content Parameters with Failure Mode and Effect Analysis by Nismah Panjaitan, Muhammad Zaky Faris, Juni Arta Lubis, Niken Kristin Silitonga

“…XYZ, supervision is carried out to ascertain the degree of machine efficiency in addition to determining the oil quality. …”
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INTELLIGENT MATCHING TECHNIQUE FOR FLEXIBLE ANTENNAS by Olena Semenova, Andriy Semenov, Stefan Meulesteen, Natalia Kryvinska, Hanna Pastushenko

“…The utilization of artificial neural networks for the design of flexible antennas enables researchers to expand the design space, optimize antenna characteristics with greater efficiency, and identify innovative solutions that may not be apparent through traditional design methods. …”
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Lateral equilibrium optimisation in deep excavations: the role of passive earth reinforcement by Tarik Solomon Teshome, Zehra Nil Kutlu, İsmail Emrah Kılıç, Aykut Şenol

“…Employing comprehensive numerical analysis through PLAXIS 2D software, the research advances traditional methods with sophisticated computational modelling. …”
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Quantitative Estimation of Organic Pollution in Inland Water Using Sentinel-2 Multispectral Imager by Jiayi Li, Ruru Deng, Yu Guo, Cong Lei, Zhenqun Hua, Junying Yang

“…Remote sensing technology, with its wide coverage, continuous monitoring capability, and cost-efficiency, overcomes the limitations of traditional methods, which are often time-consuming, labor-intensive, and spatially restricted. …”
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The Impact of Digital Technology, Automation, and Data Integration on Supply Chain Performance: Exploring the Moderating Role of Digital Transformation by Ahmad Ali Atieh, Alhareth Abu Hussein, Saheer Al-Jaghoub, Ahmad Fathi Alheet, Murad Attiany

“…<i>Background:</i> This study investigates digital transformation as a moderating variable in determining the effect of digital technologies, automation, and data integration of upstream and downstream providers on supply chain performance. …”
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Disturbance Sensitivity of Proximity Construction in Subway Protection Zone by Zhi-Qun Gong, Yong-Zhi Wang, Wei-Ke Zhou, Shao-Ming Liao, Yan-Qing Men, Song-Chao Lin

“…The need for expert members to carry out safety assessments based on specific calculations to determine the impact of construction on the safety of protected tunnels is extremely inconvenient for safety management and significantly reduces management efficiency. …”
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The cow GUTBIOME CY study: investigating the composition of the cattle gut microbiome in health and infectious disease transmission in cyprus by Daphne E. Mavrides, Maria Liapi, Despo Ierodiakonou, Christodoulos Pipis, Stavros Malas, Eleni Gentekaki, Anastasios D. Tsaousis

“…However, there are proportionately fewer studies on this complex microbial community in cattle and region-focus studies are non- existent. Methods Herein, we present the research protocol of the GUTBIOME CY project pertaining to determine the composition of the lower gut microbiome in dairy cows situated in 37 farms across five districts of the island of Cyprus. …”
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Cultivation factors affecting durum wheat performance under speed breeding conditions by Merve Bayhan, Remzi Özkan, Önder Albayrak, Cuma Akıncı, Mehmet Yıldırım

“…Among the foliar fertilizer applications, the best results were observed in the tillering stage and stem elongation-heading stages.DiscussionThese findings highlight ways to optimize plant productivity and improve the efficiency of the speed breeding process. Because the primary goal of speed breeding is to obtain multiple generations in a short period, determining suitable conditions will contribute to the rapid development of more resilient and productive plant varieties in the future.…”
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Ultra-Sensitive Detection of Chloramphenicol by CdS@NiMoS Nanorods-Based Photoelectrochemical Aptasensor by Hebin Sun, Yimeng Sun, Tong Qi, Zhenyu Wang, Jianlong Zhao, Lijuan Liang

“…Through optimization of the material synthesis process, the optimal doping ratio of MoS₂ to Ni³⁺ (70% MoS₂ and 10% Ni³⁺) was identified, which significantly enhanced the photogenerated carrier separation efficiency. In thin-film preparation, comparative analysis of four film-forming methods led to the determination of an optimal process with stability. …”
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Examining profit-sharing financing dynamics in Indonesian Islamic banking: ECM and ARDL approaches by Sandi Sandia, Ascarya Ascarya, Sulaeman Sulaeman

“…Methodology – This study used the ECM and ARDL methods to analyze short-term adjustments and long-term dynamics in 35 Indonesian Islamic banks. …”
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Ecological Security Evaluation of Gansu Section of Weihe River Based on DPSIR Model by Shao Yuehua, Yang Diaodiao, Tan Cunfeng

“…A combined weighting method was used to determine the index weight. An obstacle model was used to diagnose obstacle factors. …”
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Electric vehicle sharing based “energy sponge” service interfacing transportation and power systems by Qianwen Li, Dongfang Zhao, Xiaopeng Li, Xin Wang

“…A Markov decision model is proposed to determine the optimal policy on time allocation of the EV fleet over the two systems. …”
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Learning the fine-grained code representation for log-level prediction by Zhiyong Zhao, Guodong Fan, Jing Li, Ming Zhu, Haotian Zhang, Hongli Su

“…Abstract Log levels are crucial to distinguish the severity of logs and directly reflecting the urgency of transactions in software systems. Automatically and efficiently determining log levels is a crucial and challenging task in log management. …”
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Attention Transfer Reinforcement Learning for Test Case Prioritization in Continuous Integration by Qingran Su, Xingze Li, Yuming Ren, Ruinan Qiu, Chunming Hu, Yongfeng Yin

“…Continuous integration (CI), a crucial technology for accelerating software delivery, employs prioritization methods to optimize testing efficiency. Reinforcement-learning-based prioritization techniques of test cases can dynamically adjust the prioritization strategy based on test feedback. …”
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