Perceptions of canned wine drinkers in outdoor leisure settings: a vignette study with swiss residents by Nicolas Depetris Chauvin, Antoine Pinède, Heber Rodrigues

“…Our findings reveal that, overall, canned wine drinkers are judged negatively, particularly in the beach resort scenario, where traits like “health consciousness” and “environmental friendliness” are rated lower. Demographic factors, including age, gender, and education, as well as cultural background, significantly influence these judgements. …”
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A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing by William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

“…., temperatures, gradients, rates), capture essential process patterns. However, the diversity of materials, process parameters, and sensing configurations across AM systems has limited standardization. …”
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Uniform temperature distribution in microwave heating achieved via rotating electric field by Jongseon Seo, Geonhui Han, Hyunsang Hwang

“…Abstract Microwave heating (MWH) is widely used in various industrial and research applications due to its advantages such as rapid heating rates, energy efficiency, and low overall processing temperatures. …”
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Design Of Waste Management Model With Grounded Theory(Case Study: Isfahan) by farshid aslani

“…Population growth, changing consumption patterns and lifestyles have increased waste production, types and variety of waste characteristics. …”
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Latent Profiles of Deceased Organ Donation Registrants and Nonregistrants in the United States by Ari P. Kirshenbaum, Brendan Parent, Landry Goodgame Huffman, Virginia Kelsey, Michael J. Sofis

“…Deceased organ donation is the greatest source of transplantable whole organs, but registration rates are a limiting factor because they remain low among certain populations. …”
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Effective defense against physically embedded backdoor attacks via clustering-based filtering by Mohammed Kutbi

“…In such attacks, adversaries embed malicious behaviors triggered by specific patterns in the training data, causing models to misclassify whenever the trigger is present. …”
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Formation of microfluidic droplets and jets in a solvent-rich oil phase by Victoria Joseph, Thomas Cubaud

“…Typical flow patterns include dripping and jetting droplets, phase inversion and dynamic wetting and conjugate jets. …”
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Efficiency of pantraps for monitoring bees diversity in Brazilian acerola orchards: the role of color diversity by MÁRCIA S. COELHO, LÚCIA HELENA P. KIILL, CELSO F. MARTINS

“…The study evaluated the influence of pantrap color on bee attraction and the difference in seasonal patterns of these insects. Collections were carried out in commercial plantations of Malpighia emarginata in the Northeast region of Brazil, using yellow, blue and white pantraps. …”
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Data Analysis using Business Intelligence and Tableau for Visualizing Indonesia's Poverty Line by Fabianus Kevin Senduk, Retno Waluyo, Khairunnisak Nur Isnaini

“…The dashboard offers in-depth insights into regional poverty shifts, including the identification of high-poverty areas and analysis of poverty line growth rates. It also serves as a strategic data-driven decision support tool. …”
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Trends in atrial fibrillation and flutter mortality associated with disorders of thyroid gland in the United States from 1999 to 2020 by Shahzaib Ahmed, Shoaib Ahmad, Hamza Ashraf, Eeman Ahmad, Umar Akram, Abbas H. Mallick, Irfan Ullah, Raheel Ahmed, Chadi Alraies, Gregg C. Fonarow

“…Methods Age‐adjusted mortality rates and crude rates per 100,000 population from 1999 to 2020 using the CDC WONDER database. …”
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Penicillin remains an effective agent against Group A Streptococcus in low- and middle-income countries: A systematic review and meta-analysis of antibiotic resistance and associat... by K Rampersadh, T Salie, K Engel, C Moodley, M Engel

“…Differences were observed in resistance patterns across emm types, with emm1, emm12 and emm60 showing higher resistance rates to tetracycline and erythromycin. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
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Excess and reduced work absence during COVID-19 in Poland: insights from cause-specific time-series models by Błażej Łyszczarz, Jakub Wojtasik

“…Results We observed notable deviations in work absence rates during the pandemic period (until the end of Q1-2022). …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Gastric Cancer Mortality in Ceará in Brazil’s Northeastern, 2000-2022: Spatio- Temporal Study by Lucia Libanez Bessa Campelo Braga, Helio De Almeida Nobre Junior, Jorg Heukelbach, Anderson Fuentes Ferreira, Ana Suzete Lopes, Edson Luiz de Oliveira, Vitor de Sousa Tomé, Taynara Lais Silva, Daniele Calheiros Campelo Maia, Alberto Novaes Ramos Júnior

“…Objective: To analyze temporal trends and spatial patterns of GC mortality over a 23-year period in Ceará. …”
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Genomic data suggest parallel dental vestigialization within the xenarthran radiation by Emerling, Christopher A, Gibb, Gillian C, Tilak, Marie-Ka, Hughes, Jonathan J, Kuch, Melanie, Duggan, Ana T, Poinar, Hendrik N, Nachman, Michael W, Delsuc, Frédéric

“…As such, the analysis of gene degradation patterns has the potential to provide insights into the evolutionary history of regressed anatomical traits. …”
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Navigating Pathways in Prostate Cancer Survivorship: A Comprehensive Review of Challenges, Interventions, and Long-Term Outcomes by Anthony Galvez, Dhruv Puri, Elizabeth Tran, Kassandra Zaila Ardines, Yahir Santiago-Lastra

“…Advances in screening, early detection, and therapeutic innovations have significantly improved survival rates, transforming prostate cancer into a chronic condition for many men. …”
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