Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection by Istiak Mahmud, Md. Mohsin Kabir, Jungpil Shin, Chayan Mistry, Yoichi Tomioka, M. F. Mridha

“…According to the findings of the experiments, the suggested approach can apply to identify objects on railroads in the real world.…”
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Performance analysis of PCM-based lithium-ion battery module thermal management system under mechanical vibration by Jiebo Yang, Qinghua Yu, Wenjie Ye, Yang Yu, Sheng Chen

“…This work promotes the use of PCM-based BTMS in real-world applications and contributes to the advancement of LIB towards higher discharge rates.…”
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TDCN: A novel temporal depthwise convolutional network for short-term load forecasting by Mingping Liu, Chenxu Xia, Yuxin Xia, Suhui Deng, Yuhao Wang

“…To evaluate the effectiveness and generalization of the proposed model, experiments are conducted using two real-world datasets. Comparative experiments with other state-of-the-art methods are also performed. …”
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Innovative Grouting Process Monitoring: Design and Implementation of a Measurement Device With Datalogger Function by Gabriel Gaspar, Roman Budjac, Stefan Sedivy, Maximilian Stremy, Denis Benka, Eduard Nemlaha, Rastislav Elias

“…In addition to the controlled testing, the device prototype was subjected to real-world testing during a major grouting project at the Bratislava-Lamač railway tunnel in the Slovak republic. …”
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Improving Critical Care Teamwork: Simulation-Based Interprofessional Training for Enhanced Communication and Safety by Sung TC, Hsu HC

“…Two high-fidelity clinical scenarios—multiple trauma and respiratory distress with shock—were designed to simulate real-world emergencies. Participants’ teamwork performance was evaluated using the Team Emergency Assessment Measure (TEAM), while qualitative feedback was collected via structured questionnaires and thematically analyzed.Results: Quantitative analysis revealed significant improvement in leadership communication (p = 0.0328) and positive trends in teamwork dimensions such as completion and effective communication. …”
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Obstacle avoidance and formation control of multiple unmanned vehicles in complex environments based on artificial potential field method by Yilin MEI, Likun CUI, Xueyan HU, Guangqi HU, Hao WANG

“…A review of existing literature reveals that most research focuses on static obstacle environments, which do not accurately reflect real-world conditions. To tackle the issues of collision with obstacles and formation instability in dynamic and dense environments, a multivehicle obstacle avoidance and formation control method based on the potential field method was proposed. …”
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Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems by Johannes Rausch, Andreas Maier, Rebecca Fahrig, Jang-Hwan Choi, Waldo Hinshaw, Frank Schebesch, Sven Haase, Jakob Wasza, Joachim Hornegger, Christian Riess

“…The correction method can be extended to a multi-Kinect setup for use in real-world scenarios. Using depth cameras does not require prior scans and offers the possibility of a temporally synchronized correction of overexposure artifacts. …”
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Maximum Mixture Correntropy Criterion-Based Variational Bayesian Adaptive Kalman Filter for INS/UWB/GNSS-RTK Integrated Positioning by Sen Wang, Peipei Dai, Tianhe Xu, Wenfeng Nie, Yangzi Cong, Jianping Xing, Fan Gao

“…Furthermore, sensor measurements are tightly integrated with the inertial measurement unit (IMU), facilitating precise positioning even in the presence of interference from multiple signal sources. A series of real-world and simulation experiments were carried out on a UGV to assess the proposed approach’s performance. …”
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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning by Shahriar Kaisar, Md Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Diro

“…Extensive experiments with real-world data show that the proposed approach achieves excellent results in all cases (e.g., 98.6% accuracy in classifying customers) and outperforms recent competing models in the literature by a considerable margin of 3% on a widely used dataset.…”
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Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…Methodologically, lateralization approach demonstrates the potential to capture real-world evidence beyond clinical data and merge it with clinical data.…”
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Health-care resource use and costs associated with inflammatory bowel disease in northwest London: a retrospective linked database study by Zia UI-Haq, Luiz Causin, Tahereh Kamalati, Durgesh Kahol, Trishan Vaikunthanathan, Charlotte Wong, Naila Arebi

“…Methods In this exploratory study, we analysed real-world data from the Discover dataset for adults with a diagnosis of incident IBD recorded in northwest London, UK, between 31 March, 2016, and 31 March, 2020. …”
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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults by Ling-Jie Fan, Feng-Yi Wang, Jun-Han Zhao, Jun-Jie Zhang, Yang-An Li, Jia Tang, Tao Lin, Quan Wei

“…Based on these findings, we developed a proof-of-concept application that demonstrates the feasibility of translating these PA analytics into practical monitoring tools in real-world settings.…”
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Enhanced ensemble learning-based uncertainty and sensitivity analysis of ventilation rate in a novel radiative cooling building by Majid Mohsenpour, Mohsen Salimi, Atieh Kermani, Majid Amidpour

“…However, most studies focus on idealized conditions, neglecting the real-world variability of indoor and outdoor environments. …”
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Contemporary Management of Patent Foramen Ovale: A Multinational Survey on Cardiologists’ Perspective by Maciej Dębski, Amr Abdelrahman, Halia Alshehri, Marloe Prince, Andrew Wiper, Shajil Chalil, Dariusz Dudek, Christopher J. White, David Hildick-Smith, David H. Roberts

“…Consequently, very disparate approaches exist among clinicians in the real-world. Methods. A 24-item electronic questionnaire was sent directly to experienced cardiology specialists practicing at consultant/attending positions directly involved in PFO closure management in the United States, United Kingdom, Gulf countries, and other countries. …”
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Adapting self-measured blood pressure monitoring to reduce health disparities (ASPIRE): a pilot hybrid effectiveness‑implementation study protocol by Rasha Khatib, Nicole Glowacki, Iridian Guzman, Maureen Shields, Joseph Chase, Melanie Gordon

“…Conclusions This pilot RCT will provide critical insights into the feasibility of study methods to evaluate the implementation success of the ASPIRE toolkit in a real-world primary care setting. By addressing barriers to SMBP adoption, this intervention has the potential to improve hypertension management and reduce health disparities in underserved populations. …”
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Impact of Chorea on Self-care Activity, Employment, and Health-care Resource Use in Patients with Huntington’s Disease by Daniel O. Claassen, Jonathan DeCourcy, Jennifer Mellor, Charlotte Johnston, Ravi G. Iyer

“…**Methods:** Data were drawn from the Adelphi HD Disease Specific Programme, a real-world point-in-time survey of 144 neurologists and 427 patients in the United States between July and October 2017. …”
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Impact of strict IGF1 control on quality-of-life scores in patients with acromegaly by Chaitanya Gandhi, Marie-Claire Denis, Daniel Holmes, Juan Rivera, Stan van Uum, Shereen Ezzat, Constance Chik

“…ObjectiveExamine, in a real-world setting, whether strict normalization of modestly elevated insulin-like growth factor 1 (IGF1) results in clinical and health-related quality of life benefits in patients with acromegaly using an open-label, non-randomized, 6-month prospective interventional study.MethodsIn patients with acromegaly and modest IGF1 elevation, strict IGF1 control was achieved by addition or dose escalation of pegvisomant. …”
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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

“…These results highlight XIoT’s capability to enhance IoT security by addressing real-world challenges, ensuring robust, scalable, and interpretable protection for IoT networks against sophisticated cyber threats.…”
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Mobilising knowledge with nurses practicing during the Covid-19 pandemic: Prioritising strategies for enhancing nurses’ psychological wellbeing in the workplace by E. Rowland, A. Conolly, R. Abrams, R. Harris, J. Maben

“…Following study completion, efforts focused on mobilising knowledge through the development strategies (outputs) to better support nurses’ psychological wellbeing during future pandemics and inform healthcare policy (outcome) that over time, could potentially lead to real-world impact from our research.In healthcare, demonstrating research impact is important yet complex. …”
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Returns to scale in decision-making units with integer-valued or mixed inputs and integer-valued or real outputs using radial models in data envelopment analysis by Zeinab Tavassoli, Mohsen Rostami-MalKhalifeh, Farhad Hosseinzadeh Lotfi, Tofigh allahVieanloo

“…The existence of a difference between the results produced by our proposed model and those of the classical model was demonstrated through two examples, one using hypothetical data and the other real-world data.…”
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