A systematic scoping review and thematic analysis: How can livestock and poultry movement networks inform disease surveillance and control at the global scale? by Sara C Sequeira, Natalie Sebunia, Jessica R Page, Taiwo Lasisi, Greg Habing, Andréia G Arruda

“…Inclusion criteria focused on network analysis research explicitly mentioning livestock and poultry movements. …”
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Keyphrase generation for the Russian-language scientific texts using mT5 by Anna V. Glazkova, Dmitry A. Morozov, Marina S. Vorobeva, Andrey Stupnikov

“…The best results on the test set were obtained by mT5 and RuTermExtract. …”
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Perioperative Teaching and Feedback: How are we doing in Canadian OTL-HNS programs? by Z. Chaudhry, M. Campagna-Vaillancourt, M. Husein, R. Varshney, K. Roth, A. Gooi, LHP Nguyen

“…Responses among groups were analysed with the Wilcoxon-Mann Whitney test, while thematic analysis was used for the open-ended questions. …”
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A Continuous Correlated Beta Process Model for Genetic Ancestry in Admixed Populations. by Zachariah Gompert

“…In the current paper, I develop and test a continuous correlated beta process model to fill this analytical gap. …”
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Analysis of risk factors and development of a predictive model for postoperative pulmonary complications in hepatic echinococcosis patients by Shuai Li, Zhanxue Zhao

“…Abstract Studies explicitly examining postoperative pulmonary complications (PPCs) following surgical interventions for hepatic echinococcosis are limited. …”
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Mixed logit model and classification tree to investigate cyclists crash severity by Antonella Scarano, Maria Rella Riccardi, Filomena Mauriello, Carmelo D'Agostino, Alfonso Montella

“…Thus, the CT model is explicitly used as a supporting tool to identify potential interactions, while conclusions are extracted from the MLM results. …”
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THE I-CON MODEL IN CONSTRUCTING MATHEMATICAL PROOF by Abdul Mujib, Firmansyah Firmansyah, Siti Shara Siagian, Devi Mathelinea

“…Respondents were selected using a theoretical sampling approach, based explicitly on concepts that have been shown to relate to the theory being developed. …”
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The integration of health equity into policy to reduce disparities: Lessons from California during the COVID-19 pandemic. by Ada T Kwan, Jason Vargo, Caroline Kurtz, Mayuri Panditrao, Christopher M Hoover, Tomás M León, David Rocha, William Wheeler, Seema Jain, Erica S Pan, Priya B Shete

“…How departments of public health can explicitly address these disparities and their underlying determinants remains less understood. …”
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A data integration method for new advances in development cognitive neuroscience by Kelsey L. Canada, Tracy Riggins, Simona Ghetti, Noa Ofen, Ana.M. Daugherty

“…To overcome idiosyncrasies of neuroimaging data, IDA explicitly evaluates if measures across studies assess the same construct. …”
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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index by Jawaria Nasir, Hasnain Iftikhar, Muhammad Aamir, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman

“…This study proposes a novel hybrid forecasting approach designed explicitly for long-horizon financial time series. It incorporates LMD (Local Mean Decomposition), SD (Signal Decomposition), and sophisticated machine learning methods. …”
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Heterogeneity Analysis of Cucumber Canopy in the Solar Greenhouse by Ting-ting QIAN, Sheng-lian LU, Chun-jiang ZHAO, Xin-yu GUO, Wei-liang WEN, jian-jun DU

“…The results showed that, leaf azimuth as tested with the Rayleigh-test was homogeneous at vine tip over stage but turned heterogeneous at fruit harvest stage. …”
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Situation Analysis of Cognitive Rehabilitation for Brain Injuries in Iran: A Mixed Method Study by Mahgol Sadat Hassan Zadeh Tabatabaei, Elaheh Khodadoust, Mahsa Esmaeili Dahaj, Ayda Eslami Nejad parizi, Vali Baigi, Mahdi Sharif-Alhoseini

“…Results: Despite legal support for disabled individuals, cognitive impairments are not explicitly recognized, complicating planning and resource allocation. …”
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Structural Performance of Reinforced Concrete Beams with Steel Fibres as Secondary Reinforcement: Experimental and Pre-peak Numerical Modelling by Hadjer Belkadi, Abdelkrim Bourzam, Messaoud Saidani

“…Each beam underwent a four-point flexural test using a hydraulic press under static loading to evaluate the influence of fibres on flexural behaviour. …”
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Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example. by Haifang Ni, Irene Klugkist, Saskia van der Drift, Ruurd Jorritsma, Gerrit Hooijer, Mirjam Nielen

“…Expert opinion could be explicitly combined with individual level data for prediction. …”
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Automatic Number Plate Detection and Recognition System for Small-Sized Number Plates of Category L-Vehicles for Remote Emission Sensing Applications by Hafiz Hashim Imtiaz, Paul Schaffer, Paul Hesse, Martin Kupper, Alexander Bergmann

“…No ANPR system is designed explicitly for Category L vehicles, especially mopeds. …”
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Do We Perform Systematic Literature Review Right? A Scientific Mapping and Methodological Assessment by Mathew Azarian, Hao Yu, Asmamaw Tadege Shiferaw, Tor Kristian Stevik

“…<i>Results</i>: There is a concrete link between the purpose of a review, i.e., to describe, test, extend, or critique, and the literature review type. …”
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Adaptive Defense: Zero-Day Attack Detection in NIDS With Deep Reinforcement Learning by Khorshed Alam, Md Fahad Monir, Md Junayed Hossain, Mohammad Shorif Uddin, Md. Tarek Habib

“…Zero-Day attack detection in Network Intrusion Detection Systems (NIDS) refers to the ability to identify previously unseen attack patterns during testing without having been explicitly trained on those specific attacks, utilizing learned features from other known attacks. …”
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Features of discounting lease payments in the context of determining the interest rate by V. S. Levin

“…In the future, it will be necessary to test the hypothesis of whether it is possible to use methods and models used in the risk analysis of investment projects to estimate the discount rate for leases. …”
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Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

“…Notably, A ^2 M is able to increase the test accuracy, on average across different differentiable NAS methods, by +3.60% on CIFAR-10, +4.60% on CIFAR-100, and +3.64% on ImageNet-16-120 - while finding architectures with low accuracy barriers. …”
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Enhancing aspect-based financial sentiment analysis through contrastive learning by Viacheslav Ivanenko

“…Lastly, the research critically evaluates the proposed model's performance metrics across the test dataset and compares them with existing methodologies. …”
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