Empagliflozin Use Is Associated With Lower Risk of All-Cause Mortality, Hospitalization for Heart Failure, and End-Stage Renal Disease Compared to DPP-4i in Nordic Type 2 Diabetes... by Gisle Langslet, Thomas Nyström, Dorte Vistisen, Bendix Carstensen, Emilie Toresson Grip, Paula Casajust, Giorgi Tskhvarashvili, Fabian Hoti, Riho Klement, Kristina Karlsdotter, Mikko Tuovinen, Anne Pernille Ofstad, Maria Lajer, Christina Shay, Lisette Koeneman, Soulmaz Fazeli Farsani, Leo Niskanen, Sigrun Halvorsen

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Surgical interventions for spontaneous supratentorial intracerebral haemorrhage: a systematic review and network meta-analysisResearch in context by Jiayidaer Huan, Minghong Yao, Yu Ma, Fan Mei, Yanmei Liu, Lu Ma, Xiaochao Luo, Jiali Liu, Jianguo Xu, Chao You, Hunong Xiang, Kang Zou, Xiao Liang, Xin Hu, Ling Li, Xin Sun

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Validation of a Model Estimating the Budget Impact of Video Capsule Endoscopy for Surveillance of Crohn’s Disease in an Italian Center by Rhodri Saunders, Carlo Calabrese, Dania Gelli, Jason Davis, Rafael Torrejon Torres

“…While annual costs are higher up to the second year, VCE becomes cost saving from the third year onward. The real-world validation analysis proved a good agreement between the model and real-world patient records. …”
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Semantic segmentation using synthetic images of underwater marine-growth by Christian Mai, Jesper Liniger, Simon Pedersen

“…As an alternative, synthetic environments offer cost-effective, controlled alternatives to real-world operations, with access to detailed ground-truth data. …”
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Detection of dynamic communities in temporal networks with sparse data by Nataša Djurdjevac Conrad, Elisa Tonello, Johannes Zonker, Heike Siebert

“…Abstract Temporal networks are a powerful tool for studying the dynamic nature of a wide range of real-world complex systems, including social, biological and physical systems. …”
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Digital transformation of social research and development by I. Groshev, Y. Krasovskiy

“…A new problems of digital transformation are analyzed: what are the features of the transitions of sociological research in the virtual world from the real world and the peculiarities of the transitions of sociological research from the virtual world to the real world? …”
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Retention of bimanual performance following hand arm bimanual intensive therapy in children with unilateral cerebral palsy: A six-month longitudinal study. by Shailesh S Gardas, Christine Lysaght, Charity Patterson, Swati M Surkar

“…Therefore, this study aims to investigate the retention of real-world bimanual performance gains over time following HABIT in children with UCP. …”
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Tampered text detection via RGB and frequency relationship modeling by Yuxin WANG, Boqiang ZHANG, Hongtao XIE, Yongdong ZHANG

“…In recent years, the widespread dissemination of tampered text images on the Internet constitutes an important threat to the security of text images.However, the corresponding tampered text detection (TTD) methods have not been sufficiently explored.The TTD task aims to locate all text regions in an image while judging whether the text regions have been tampered with according to the authenticity of the texture.Thus, different from the general text detection task, TTD task further needs to perceive the fine-grained information for real-world and tampered text classification.TTD task has two main challenges.One the one hand, due to the high similarity in texture between real-world texts and tampered texts, TTD methods that only learn from RGB domain features have limited capability to distinguish these two-category texts well.On the other hand, as the different detecting difficulty exists in real-world texts and tampered texts, the network cannot well balance the learning process of the two-category texts, resulting in the imbalance detection performance between real-world and tampered texts.Compared with RGB domain features, the discontinuity of text texture in frequency domain can help the network to identify the authenticity of text instances.Accordingly, a new TTD method based on RGB and frequency information relationship modeling was proposed.The features in the RGB and frequency domains were extracted by independent feature extractors respectively.Thus, the identification ability of tampered texture can be enhanced by introducing frequency information during the texture perception.Then, a global RGB-frequency relationship module (GRM) was introduced to model the texture authenticity relationship between different text instances.GRM referred to the RGB-frequency features of other text instances in the same image to assist in judging the authenticity of the current text instance, which solved the problem of imbalanced detection performance.Furthermore, a new TTD dataset (Tampered-SROIE) was proposed to evaluate the effectiveness of proposed method, which contains 986 images (626 training images and 360 test images).By evaluating on the Tampered-SROIE, the proposed method obtains 95.97% and 96.80% in F-measure for real-world and tampered texts respectively and reduces the imbalanced detection accuracy by 1.13%.The proposed method will give new insights to the TTD community from the perspective of network structure and detection strategy.Tampered-SROIE also provides an evaluation benchmark for future TTD methods.…”
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Healthcare resource utilisation and costs of hospitalisation and primary care among adults with COVID-19 in England: a population-based cohort study by Carmen Tsang, Robert Wood, Tendai Mugwagwa, Kiran K Rai, Jingyan Yang, Theo Tritton, Jennifer L Nguyen, Kathleen Michelle Andersen, Maya Reimbaeva, Leah J McGrath, Poppy Payne, Bethany Emma Backhouse, Diana Mendes, Rebecca Butfield, Kevin Naicker, Mary Araghi

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Fast-flucos:malicious domain name detection method for Fast-flux based on DNS traffic by Chunyu HAN, Yongzheng ZHANG, Yu ZHANG

“…There are three weaknesses in previous Fast-flux domain name detection method on the aspects of stability,targeting,and applicability to common real-world DNS traffic environment.For this,a method based on DNS traffic,called Fast-flucos was proposed.Firstly,the traffic anomaly filtering and association matching algorithms were used for improving detection stability.Secondly,the features,quantified geographical width,country list,and time list,were applied for better targeting Fast-flux domains.Lastly,the feature extraction were finished by the more suitable samples for trying to adapt to common real-world DNS traffic.Several machine learning algorithms including deep learning are tried for determining the best classifier and feature combination.The experimental result based on real-world DNS traffic shows that Fast-flucos’ recall rate is 0.998 6,precision is 0.976 7,and ROC_AUC is 0.992 9,which are all better than the current main stream approaches,such as EXPOSURE,GRADE and AAGD.…”
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Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces by Olatunbosun Agbo-Ajala, Serestina Viriri

“…Age and gender predictions of unfiltered faces classify unconstrained real-world facial images into predefined age and gender. …”
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Social Attitudes toward Cerebral Palsy and Potential Uses in Medical Education Based on the Analysis of Motion Pictures by Marek Jóźwiak, Brian Po-Jung Chen, Bartosz Musielak, Jacek Fabiszak, Andrzej Grzegorzewski

“…Comparisons of incidence between the real world and the movies are surprisingly matching. …”
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A model-free method to learn multiple skills in parallel on modular robots by Fuda van Diggelen, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

“…As controllers optimised in simulation do not transfer well to the real world (the infamous sim-to-real gap), methods enabling quick learning in the real world, without any assumptions on the specific robot model and its dynamics, are necessary. …”
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Visual-inertial navigation assisted by a single UWB anchor with an unknown position by Haolong Luo, Danping Zou, Jiansheng Li, Ancheng Wang, Li Wang, Zidi Yang, Guangyun Li

“…To validate the feasibility and effectiveness of the proposed method, comprehensive simulations and real-world experiments were conducted. First, using Monte Carlo simulation and real-world experiments, we validated the effectiveness of the proposed methods for UWB anchor position and its accuracy estimation. …”
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Treatment Patterns and Outcomes Among Patients With Advanced or Recurrent Endometrial Cancer Initiating First-Line Therapy in the United States by Robert L. Coleman, Jamie Garside, Jean Hurteau, Joehl Nguyen, Monica Kobayashi

“…**Methods:** Patients with a diagnosis of primary advanced or recurrent EC in a real-world database from January 1, 2013, to July 31, 2021, were included. …”
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A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles by Jie Hu, Sheng Luo

“…First, simulated car-following data are generated by using the speed control driver model and the real-world driving behavior data if the real-world car-following data are not available. …”
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Network protocol identification based on active learning and SVM algorithm by Yi-peng WANG, Xiao-chun YUN, Yong-zheng ZHANG, Shu-hao LI

“…Obtaining qualified training data for protocol identif ion generally requires domain experts to be involved,which is time-consuming and laborious.A novel approach for network protocol identification based on active learning and SVM algorithm was proposed.The experimental evaluations on real-world network traces show this approach can accurately and efficiently classify the target network protocol from mixed Internet traffic,and meanwhile display a sig-nificant reduction in the number of labeled samples.Therefore,this approach can be employed as an auxiliary tool for analyzing unknown protocols in real-world environment.…”
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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…The Problem-Based Learning project approach, designed by the research team, provides a teaching and learning strategy in which students collaborate to analyze and extend code within real-world problem contexts while systematically exchanging feedback. …”
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Effectiveness of Video Teletherapy in Treating Obsessive-Compulsive Disorder in Children and Adolescents With Exposure and Response Prevention: Retrospective Longitudinal Observati... by Jamie D Feusner, Nicholas R Farrell, Mia Nunez, Nicholas Lume, Catherine W MacDonald, Patrick B McGrath, Larry Trusky, Stephen Smith, Andreas Rhode

“…Despite strong evidence supporting the efficacy and effectiveness of ERP from studies in research and real-world settings, its clinical use remains limited. …”
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Physically Meaningful Surrogate Data for COPD by Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic

“…When training solely on surrogate data, and testing on real-world data, a comparison of true positive rate against false positive rate yields an area under the curve of 0.75, compared with 0.63 when training solely on real-world data.…”
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