Emission of Brominated Pollutants from Waste Printed Circuit Boards during Thermal Treatment: A Review by Jun Wan, Jia Sun, Xiang-Lin Zhao, An-Sheng Le, Peng-Bo Ren, Ming-Xiu Zhan, Xiao-Qing Lin, Tong Chen

“…At present, research on the WPCB disposal process has mainly been focused on efficient resource recovery; studies of pollutant emission have been limited to chlorinated dioxins, and research on brominated pollutants is relatively limited. …”
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Legal Regulation of the External Dimension of the Common European Asylum System: current state and future perspectives by A. A. Gukepshev

“…The aim of the article is to define political and legal contours of the external dimension of the Common European Asylum System (CEAS), trace its development from 2015 to 2022, and determine future directions of its evolvement.MATERIALS AND METHODS. …”
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Substantial Impact of School Closure on the Transmission Dynamics during the Pandemic Flu H1N1-2009 in Oita, Japan. by Shoko Kawano, Masayuki Kakehashi

“…We evaluated the preventive effect of school closure against the pandemic (H1N1) 2009 and examined efficient strategies of reactive school closure.<h4>Materials and methods</h4>Data included daily reports of reactive school closures and the number of infected students in the pandemic in Oita City, Japan. …”
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Features of direct democracy in Switzerland by Svetlana A. Solomonova

“…The article is about the peculiarities of referendum and popular initiative which are the main forms and institutions of direct democracy in Switzerland.The purpose of the article is to determine the peculiarities of direct democracy in Switzerland and characterize its main forms: referendum and popular initiative. …”
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An Algorithm to Analyze Cost Heterogeneity using Counterfactual Scenarios in Endovascular versus Open Repair of Abdominal Aortic Aneurysm: Predicting Costs for Subsequent Patients by Christopher A. Jones, Peter W. Callas, Robert W. Everett, Richard A. Galbraith, Richie Spitsberg, Jeffrey J. Petrozzino, Michael J. DeSarno, Andrew C. Stanley

“…Under such circumstances, it is our expectation that such algorithms may be used to select the most cost-efficient treatment.…”
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Combination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting by M. Ghayekhloo, M. B. Menhaj

“…The proposed method is a combination of a novel data clustering method,time-series analysis, and multilayer perceptron neural network (MLPNN). …”
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Short communication: Multiscale topographic complexity analysis with pyTopoComplexity by L. S.-H. Lai, L. S.-H. Lai, A. M. Booth, A. R. Duvall, E. Herzig, E. Herzig

“…<p>pyTopoComplexity is a Python package designed for efficient and customizable quantification of topographic complexity using four advanced methods: two-dimensional continuous wavelet transform analysis, fractal dimension estimation, rugosity index, and terrain position index calculations. …”
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GPT meets PubMed: a novel approach to literature review using a large language model to crowdsource migraine medication reviews by Elyse Mackenzie, Roger Cheng, Pengfei Zhang

“…A vast amount of scientific literature on novel migraine therapeutics continues to emerge, but an efficient method by which to perform ongoing analysis and integration of this information poses a challenge. …”
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Deep Learning-Based FSS Spectral Characterization and Cross-Band Migration by Lei Gong, Xuan Liu, Pan Zhou, Liguo Wang, Zhiqiang Yang

“…In response, researchers have developed deep learning-based approaches for FSS design, highlighting their advantages in terms of high efficiency and low resource consumption. However, these methods are typically confined to designing FSSs within the spectral ranges defined by their datasets, significantly limiting their applicability. …”
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Investigating the Effectiveness of Compassion-Focused Therapy on Caregiver Burden and Psychological Flexibility in Caregivers of Elderly With Alzheimer Disease by Seyed Farzan Madani, Pegah Farokhzad

“…Methods & Materials The semi-experimental research method and the statistical population consisted of caregivers of elderly patients with AD referred to neurology clinics in Tehran, Iran, in the spring of 2023. …”
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Analysis of Polymer/siRNA Nanoparticle Efficacy and Biocompatibility in 3D Air–Liquid Interface Culture Compared to 2D Cell Culture by Sandra Noske, Martin Krueger, Alexander Ewe, Achim Aigner

“…<b>Background:</b> Polymeric nanoparticles have been explored as efficient tools for siRNA delivery to induce RNAi-mediated gene knockdown. …”
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Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs by Emil Attanasi, Philip Freeman, Timothy Coburn

“…We demonstrate the application of four different ML algorithms using data from onshore and offshore oil and gas reservoirs in Europe, and show they perform well when predictions are compared to engineering estimates. The proposed methods and models provide an effective and novel way to more rapidly and directly determine the subsurface CO2 storage capacity of oil and gas reservoirs around the world, information that operators, researchers, and policymakers alike require to meet energy transition and decarbonization goals.…”
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Design and Experimental Validation of Stem-Clamping-and-Pull-Out-Type Pepper Plug Seedling-Picking Mechanism by Zhenhua Lin, Xiao Li, Hao Sun, Maile Zhou, Jianjun Yin, Jijia He, Daqing Yin

“…The specific methods and objectives include the following: (1) designing a differential non-circular gear system to replicate a manual picking trajectory accurately; (2) establishing a kinematic model and developing optimization software to determine the optimal parameter combination; (3) experimentally validating the mechanism’s performance through virtual simulations and bench tests. …”
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The Effect of Telephone Health Training on Perceived Stress of Mothers with Premature Infants Discharged from Hospital by Hossein Tavangar, Marjan Alichi, Zahra Pourmovahed

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Estimation of maximum lower limb muscle strength from vertical jumps. by Chuan-Fang Hou, Chin-Wei Hsu, Philip X Fuchs, Tzyy-Yuang Shiang

“…Determining the one-repetition maximum (1RM) is crucial for organizing training loads, but it also is time-consuming, physically demanding, and poses a risk of injury. …”
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Preliminary Study on Sensor-Based Detection of an Adherent Cell’s Pre-Detachment Moment in a MPWM Microfluidic Extraction System by Marius-Alexandru Dinca, Mihaita Nicolae Ardeleanu, Dan Constantin Puchianu, Gabriel Predusca

“…This optimizes detachment while minimizing liquid absorption and reflux volume, ensuring efficient extraction. By combining microfluidics, sensor detection, and AI-driven image processing, this study established a non-invasive method for optimizing adherent cell detachment. …”
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Demand side response program for more sustainable electricity market: a case study of Türkiye by Aysegul Yalçınkaya, Ahmet Feyzioglu, Cihat Boyraz, Huseyin Haliloglu, Donatella Santoro, Leonardo Piccinetti

“…This study aims to examine Demand Side Response (DSR) programs, where the consumer side actively participates, to determine the most competitive, transparent, flexible, and suitable program for the structure of the Türkiye electricity market. …”
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An Optimized GWO-BPNN Model for Predicting Corrosion Fatigue Performance of Stay Cables in Coastal Environments by Liping Zhou, Guowen Yao

“…The GWO-BPNN model excels in capturing complex, non-linear dependencies within fatigue data, outperforming conventional prediction methods. Sensitivity analysis identifies stress range, average stress, and mass loss as primary determinants of fatigue life, highlighting the dominant influence of corrosion and stress factors on structural degradation. …”
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Validation of a novel clinical prediction score for severe coronary artery diseases before elective coronary angiography. by Zhang-Wei Chen, Ying-Hua Chen, Ju-Ying Qian, Jian-Ying Ma, Jun-Bo Ge

“…Multivariable analysis was applied to determine independent risk factors and develop the scoring system.…”
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Multi-scale feature fusion keypoint detection network for ship draft line localization by Bo Zhang, Yumengmeng Yin, Kefu Ma, Hong Wang

“…Existing deep learning-based methods for draft line detection primarily use segmentation techniques to segment the entire body of water before determining the waterline. …”
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