Comparison of scenarios in the trajectory of body mass index among adolescents monitored in primary health care: the VigiNUTRI Brazil study by Rafaella Lemos Alves, Natacha Toral, Vitor Paravidino, Vivian S. S. Gonçalves

“…This curve was compared with that of the real-world cohort (Sisvan curve). Both curves were compared to the World Health Organization (WHO) reference cutoff. …”
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Landscape diversity promotes landscape functioning in North America by Sarah Mayor, Florian Altermatt, Thomas W. Crowther, Iris Hordijk, Simon Landauer, Jacqueline Oehri, Merin Reji Chacko, Michael E. Schaepman, Bernhard Schmid, Pascal A. Niklaus

“…However, it remains unclear whether these findings apply in real-world landscapes that resemble a heterogeneous mosaic of different ecosystem and plant types that interact through biotic and abiotic processes. …”
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Project symphony: Composing a masterpiece in a science laboratory by Sunghee Lee, Jamie Gudyka, Marnie Skinner, Jasmin Ceja-Vega, Amani Rabadi, Christopher Poust, Caroline Scott, Micaela Panella, Elizabeth Andersen, Jessica Said

“…At a Predominantly Undergraduate Institution (PUI) such as Iona, she saw a unique opportunity to weave together teaching and research, creating a rich tapestry of learning experiences for students.Her goal was simple yet ambitious: to use research as a bridge connecting classroom theory to real-world interdisciplinary scientific practice.In this Backstory, Sunghee and her students and recent graduates reflect on the development and experiences that shaped their journey through Project Symphony and the resulting skills they’ve learned. …”
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Time-Optimal Trajectory Planning along Parametric Polynomial Lane-Change Curves with Bounded Velocity and Acceleration: Simulations for a Unicycle Based on Numerical Integration by Chien-Sheng Wu, Zih-Yun Chiu, Jing-Sin Liu

“…This could provide a reference for on-road lane-change trajectory planning along a given path other than parametric polynomials for significantly more complex, complete higher-dimensional highly nonlinear dynamic model of autonomous ground vehicle considering aerodynamic forces, tire and friction forces of tire-ground interaction, and terrain topology in real-world.…”
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A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture by Rashadul Islam Sumon, Haider Ali, Salma Akter, Shah Muhammad Imtiyaj Uddin, Md Ariful Islam Mozumder, Hee-Cheol Kim

“…The dataset will be enlarged, model performance will be enhanced for more species, and real-time capabilities will be developed for real-world implementation.…”
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Systematic Literature Review Methodology for Drone Recharging Processes in Agriculture and Disaster Management by Leonardo Grando, Juan Fernando Galindo Jaramillo, José Roberto Emiliano Leite, Edson Luiz Ursini

“…The studies show that the coordination process relies on communication, which can use more battery, and we also find a lack of real-world applications in the studies. Another finding is that the context of disaster is studied more than agricultural usage.…”
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The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk by Kyle P. Messier, David M. Reif, Skylar W. Marvel

“…This is especially true when considering individual and population-level diversity, where the myriad combinations of real-world exposures magnify the combinatoric challenges. …”
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Proceedings of clinical trials on bile tract cancer by XIONG Yichen, YANG Ziyi, SANG Yuer, GONG Wei

“…We expect more clinical studies and real-world data analysises and more clinical practice application experiences to provide better treatment options for BTC patients.…”
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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling by Yi Chen, Dan Chen, Niansheng Tang

“…Federated learning that is an approach to addressing the “data silo” problem in a collaborative fashion may face the risk of data leakage in real-world contexts. To solve this problem, we introduce the random Fourier feature mapping (RFFM) together with kernel local differential privacy (KLDP) and develop a new privacy protection mechanism, called the RFFM-KLDP mechanism, for high-dimensional context data. …”
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Domain adaptation-based multistage ensemble learning paradigm for credit risk evaluation by Xiaoming Zhang, Lean Yu, Hang Yin

“…Finally, dynamic model selection is developed to improve the generalization ability of the model in the fourth stage. A real-world credit dataset from the Chinese securities market was used to validate the effectiveness and feasibility of the multistage ensemble learning paradigm. …”
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VulMPFF: A Vulnerability Detection Method for Fusing Code Features in Multiple Perspectives by Xiansheng Cao, Junfeng Wang, Peng Wu, Zhiyang Fang

“…Meanwhile, experiments in the open-source project demonstrate that VulMPFF has the potential to detect vulnerabilities in real-world environments.…”
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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

“…This comparative analysis may guide the researchers in selecting appropriate models for real-world applications for action recognition. In addition of this, a new dataset is developed called Anomaly-5 that can helps as a valuable resource for training and evaluating action recognition algorithms. …”
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A Novel Federated & Ensembled Learning-Based Battery State-of-Health Estimation for Connected Electric Vehicles by Praveen Abbaraju, Subrata Kumar Kundu

“…FEL algorithm leverages real-world data from diverse stakeholders and geographical factors like traffic and weather data. …”
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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

“…The strategies are evaluated and compared using grid-aware and grid-unaware methods regarding transformer power limits. Real-world datasets are utilized to assess the performance of the proposed strategies through simulation studies across three scenarios: single charging station behavior, average parking lot occupancy, and worst-case occupancy scenarios. …”
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Multi-query based key node mining algorithm for social networks by Guodong XIN, Tengwei ZHU, Junheng HUANG, Jiayang Wei, Runxuan Liu, Wei WANG

“…Mining key nodes in complex networks has been a hotly debated topic as it played an important role in solving real-world problems.However, the existing key node mining algorithms focused on finding key nodes from a global perspective.This approach became problematic for large-scale social networks due to the unacceptable storage and computing resource overhead and the inability to utilize known query node information.A key node mining algorithm based on multiple query nodes was proposed to address the issue of key suspect mining.In this method, the known suspects were treated as query nodes, and the local topology was extracted.By calculating the critical degree of non-query nodes in the local topology, nodes with higher critical degrees were selected for recommendation.Aiming to overcome the high computational complexity of key node mining and the difficulty of effectively utilizing known query node information in existing methods, a two-stage key node mining algorithm based on multi-query was proposed to integrate the local topology information and the global node aggregation feature information of multiple query nodes.It reduced the calculation range from global to local and quantified the criticality of related nodes.Specifically, the local topology of multiple query nodes was obtained using the random walk algorithm with restart strategy.An unsupervised graph neural network model was constructed based on the graphsage model to obtain the embedding vector of nodes.The model combined the unique characteristics of nodes with the aggregation characteristics of neighbors to generate the embedding vector, providing input for similarity calculations in the algorithm framework.Finally, the criticality of nodes in the local topology was measured based on their similarity to the features of the query nodes.Experimental results demonstrated that the proposed algorithm outperformed traditional key node mining algorithms in terms of time efficiency and result effectiveness.…”
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Pseudo-Random Identification and Efficient Privacy-Preserving V2X Communication for IoV Networks by Sujash Naskar, Gerhard Hancke, Tingting Zhang, Mikael Gidlund

“…The design simplicity and efficiency of the proposed authentication structure make it highly suitable for real-world IoV applications.…”
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A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays by Yaiza Montero-Lamas, Margarita Novales, Alfonso Orro, Graham Currie

“…It has been calibrated and validated with a historical series of observations in real-world situations. This model is based on multiple linear regression. …”
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Cost and health effects of case management compared with outpatient clinic follow‐up in a Dutch heart failure cohort by Henk vanVoorst, Alfred Ernest Reiner Arnold

“…Conclusions Case management is cost effective in 83.3% of the probabilistic simulations and has a tendency towards reducing costs and increasing QALYs when considering a real‐world cohort of heart failure patients in the Netherlands.…”
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Optimization progress of large-scale radiation shielding Monte Carlo simulation software based on AIS variance reduction technique system: MCShield by Wu Jiajun, Wu Zhen, Hu Ankang, Hao Yisheng, Pu Yanheng, Zhang Hui, Qiu Rui, Li Junli

“…The accuracy and computational efficiency of MCShield have been validated through benchmark problems and real-world applications. However, the current AIS system faces limitations in complex scenarios, user-friendliness, and reliance on user experience. …”
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In-situ backup virtual sensor application in building automation systems toward virtual sensing-enabled digital twins by Youngwoong Choi, Sungmin Yoon

“…The research findings (1) offer modeling knowledge, industrial guidelines, a decision-making algorithm for appropriate modeling approaches, and insights into how building engineers implement virtual sensors and apply them to real building systems, and (2) demonstrate real-world applications of the virtual sensor-enabled digital twin in building automation systems.…”
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