Comparative Analysis of RESTful, GraphQL, and gRPC APIs: Perfomance Insight from Load and Stress Testing by Steven Chandra, Ahmad Farisi

“…The experiment utilizes a dedicated server and client hardware to simulate real-world conditions, with parameters such as CPU usage, memory usage, response time, load time, latency, success rate, and failure rate evaluated using a dataset comprising 1,000 rows of student-related records. …”
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Risky behavior in virtual reality: The roles of personality, environment, and physiology. by Dejan Pajić, Selka Sadiković, Milan Oljača, Željko Popović, Lazar Milić, Goran Stojanović, Snežana Smederevac

“…Virtual reality (VR) provides a unique opportunity to simulate various environments, enabling the observation of human behavior in a manner that closely resembles real-world scenarios. This study aimed to explore the effects of anticipating reward or punishment, personality traits, and physiological arousal on risky decision-making within a VR context. …”
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Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms by Pablo Ruarte, Nadia Pantano, Marianela Noriega, Cecilia Fernández, Emanuel Serrano, Gustavo Scaglia

“…A novel optimization approach has been developed to derive an optimal, smooth, and continuous temperature profile that can be directly applied in real-world processes. This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. …”
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MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images by Daniyaer Sidekejiang, Panpan Zheng, Liejun Wang

“…These results validate its superior performance and potential value in real-world remote sensing applications.…”
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Implementing and Learning from a Summer Research Data Management Training Program for Student Researchers by Kevin B. Read, Sarah Rutley

“…Conclusion Through instruction, practical engagement, and reflection within the context of real-world research, the program supported participants in learning about and practicing RDM, and provided insights for academic librarians who wish to refine or develop training in their local contexts as they continue to navigate emerging expectations from funders and publishers.  …”
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A Novel Time Delay Nonsingular Fast Terminal Sliding Mode Control for Robot Manipulators with Input Saturation by Thanh Nguyen Truong, Anh Tuan Vo, Hee-Jun Kang

“…However, the design of effective control algorithms is challenged by nonlinearities, uncertain dynamics, disturbances, and varying real-world conditions. To address these issues, this paper proposes an advanced orbit-tracking control approach for manipulators, leveraging advancements in Time-Delay Estimation (TDE) and Fixed-Time Sliding Mode Control techniques. …”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…The study highlights the practical applicability of these models in real-world scenarios, such as environmental monitoring and industrial automation, offering enhanced efficiency and economic benefits. …”
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SARS-CoV-2 Genome-Based Severity Predictions Correspond to Lower qPCR Values and Higher Viral Load by Martin Skarzynski, Erin M. McAuley, Ezekiel J. Maier, Anthony C. Fries, Jameson D. Voss, Richard R. Chapleau

“…Here, we used PCR as a surrogate for viral load and consequent severity to evaluate the real-world capabilities of a genome-based clinical severity predictive algorithm. …”
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A Fast-Convergent Hyperbolic Tangent PSO Algorithm for UAVs Path Planning by Muhammad Haris, Dost Muhammad Saqib Bhatti, Haewoon Nam

“…Besides that, the proposed algorithm is also applied to different UAV path planning scenarios, underscoring its real-world relevance. The outcomes underscore the prowess of HT-PSO, showcasing significantly better convergence rates compared to the state-of-the-art.…”
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A Node Similarity and Community Link Strength-Based Community Discovery Algorithm by Haijuan Yang, Jianjun Cheng, Zeyi Yang, Handong Zhang, Wenbo Zhang, Ke Yang, Xiaoyun Chen

“…We evaluate NSCLS on both some synthetic networks and some real-world networks and show that it can detect high-quality community structures from various networks, and its results are much better than the counterparts of comparison algorithms.…”
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Advanced IoT-integrated parking systems with automated license plate recognition and payment management by Gulmini Pradhan, Manas Ranjan Prusty, Vipul Singh Negi, Suchismita Chinara

“…Image processing algorithms, including Optical Character Recognition (OCR), enable accurate license plate recognition. Testing under real-world conditions showed 95% accuracy in daylight, 90% in low light, and 93% for plates at 45-degree angles. …”
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IDEALIZATION OF REALITY THROUGH PHOTOS IN SOCIAL NETWORKS by Svetlana M. Maltseva, Natalia A. Nikitina, Ekaterina S. Surovegina

“…With the development of information technology, self-presentation began to be made not only in the real world, but also in the virtual world, through social networks. …”
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A Comprehensive Analysis of Robustness in Interdependent Mechatronic Systems under Attack Strategies by Gang Xu, Yanhui Wang, Yucheng Hao, Limin Jia, Zeyun Yang, Zhichao He

“…The mass transit vehicle is taken as an example to investigate the impact of attack strategies on the robustness at different δ in a real-world mechatronic system. It is found that each subnetwork in this IMECN has a scale-free property. …”
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Artificial intelligence in the diagnosis of endocrine disorders: A focus on diabetes and thyroid diseases by Kimi Milić Marko, Sinanović Šćepan, Prodović Tanja, Ilanković Tanja

“…Future research should focus on optimizing algorithms and implementing them in real-world clinical settings.…”
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Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax by Diego A. Ramos-Briceño, Alessandro Flammia-D’Aleo, Gerardo Fernández-López, Fhabián S. Carrión-Nessi, David A. Forero-Peña

“…We are now developing a system based on real-world quality images to create a comprehensive detection tool for remote regions where trained microscopists are unavailable.…”
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Depression, anxiety, and quality of life among kidney donors before and after the kidney donation: A prospective study from a tertiary care center in India by Geetika Chopra, Vikas Gaur

“…Conclusion: Statistically significant differences in pre- and post-donation HAM-D and HAM-A scores were found, but clinical significance is crucial for interpreting real-world implications. Renal transplantation did not worsen mental health or QOL for donors post transplant, highlighting the importance of addressing pre-transplant depression and anxiety. …”
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Calibration between a panoramic LiDAR and a limited field-of-view depth camera by Weijie Tang, Bin Wang, Longxiang Huang, Xu Yang, Qian Zhang, Sulei Zhu, Yan Ma

“…Experimental results on simulation and real-world data demonstrate that the proposed methods in all three scenarios achieve precise calibration, maintaining average rotation and translation calibration errors within 2 degrees and 0.05 meters respectively for a $$360^{\circ }$$ 360 ∘ linear LiDAR and a depth camera with a field of view of $$100^{\circ }$$ 100 ∘ vertically and $$70^{\circ }$$ 70 ∘ degrees horizontally.…”
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Decentralized electrochemical biosensors for biomedical applications: From lab to home by Pramod K. Kalambate, Vipin Kumar, Dhanjai

“…The translation of these technologies involves strategies to overcome these challenges, such as developing cost-effective manufacturing methods and optimizing device design for real-world applications. Furthermore, the integration of these devices with the Internet-of-Things (IoT), Internet-of-Medical-Things (IoMT), artificial intelligence (AI), and machine learning (ML) algorithms has demonstrated breakthrough technological solutions for healthcare management, disease prognosis, and patient care. …”
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Correction: Huntington Disease Health Related Quality of Life, Function and Well Being: The Patient’s Perspective by Jesús Pérez-Pérez, Sofía García-López, Tamara Fernández Valle, Cèlia Painous, Maria Rosa Querol-Pascual, Pedro J. García Ruiz, Elena Bellosta Diago, Esther Cubo Delgado, Barbara Vives Pastor, María Carmen Peiró Villaplana, Idaira Martín Santana, Marta Blázquez Estrada, Matilde Calopa Garride, Pablo Mir, Carmen Álvarez, Jorge Maurino, Anna de Prado, José Luis López-Sendón

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Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting by Yanhong Li, David C. Anastasiu

“…The framework has been tested on four challenging real-world datasets, focusing on two critical forecasting scenarios: long-term predictions (three days ahead) and rolling predictions (every four hours) to simulate real-time decision-making in water resource management. …”
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