Being An Wholistic and Developmental Healthcare Leader: Insights from a grounded theory research study by Shannon Richards-Green, Suzanne Gough, Mickan Sharon

“…In this environment, the healthcare leader’s ability to make sense of their experiences and thrive as a leader, is crucial to the efficient functioning of the healthcare system. …”
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A Novel Blockchain-Enabled Federated Learning Scheme for IoT Anomaly Detection by Van-Doan Nguyen, Abebe Diro, Naveen Chilamkurti, Will Heyne, Khoa Tran Phan

“…We also proposed an efficient heuristic method to aggregate a federated model from a list of ML models trained locally on the selected devices, which helps to improve the federated model’s anomaly detection ability. …”
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Robust optimization for smart demand side management in microgrids using robotic process automation and grey wolf optimization by Bin Chen, Zeke Li, Bijing Liu, Haiwei Fan, Qiutian Zhong

“…These findings underscore the framework’s ability to adapt to diverse stakeholder objectives and highlight its potential to revolutionize demand-side energy management, fostering efficient and sustainable microgrid operations.…”
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Influencing Factors of Solar-Powered Electric Vehicle Charging Stations in Hail City, Saudi Arabia by Abdulmohsen A. Al-fouzan, Radwan A. Almasri

“…The ideal number of station slots is 200. Less efficient vehicles with higher consumption rates require a more comprehensive charging infrastructure, and increasing the charging power leads to an apparent decrease in the number of stations. …”
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Integrating agent‐based models into the ensemble ecosystem modelling framework: A rewilding case study at the Knepp Estate, UK by Emily Neil, Ernesto Carrella, Richard Bailey

“…Compared with a previous EEM of Knepp, calibrating the ABM‐EEM was more efficient and identified a wider range of acceptable outputs. …”
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Multi-temporal crack segmentation in concrete structures using deep learning approaches by S. Harb, P. Achanccaray Diaz, M. Maboudi, M. Gerke

“…After training the models, experiments were conducted to analyze their generalization ability, temporal consistency, and segmentation quality. …”
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Rapid CO2 mineralization by zeolite via cation exchange by Abdulwahab Alqahtani, Mouadh Addassi, Hussein Hoteit, Eric Oelkers

“…Zeolite minerals are common alteration products of basaltic rocks and are known for their ability to rapidly exchange their interstitial cations with those in aqueous solutions. …”
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A dumpsite-isolated Bacillus safensis Z1 with protease yield for potential industrial use by Zahra Abbass Farroukh, Jamilah Borjac, Dalia El Badan

“…They provide a more efficient and environmentally friendly alternative to traditional animal- and plant-based enzymes. …”
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Characterization of Three Species of Thrips on Weeping Fig, Nutmeg, and Marine Seruni Plants Based on Mtcoi DNA Sequences by Nia Kurniawaty, Purnama Hidayat, Aunu Rauf

“…Phlaeothripidae is the only family of  Tubulifera Suborder and some reports suggested that they had potential to be pests in several crops due to their ability to roll up and to make galls on leaves. The first step in pest management attempt is to identify the pest accurately and quickly, so the pest management can be on target and more efficient. …”
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J-Aggregates of Amphiphilic Cyanine Dyes for Dye-Sensitized Solar Cells: A Combination between Computational Chemistry and Experimental Device Physics by M. S. A. Abdel-Mottaleb, Mohamed M. S. Abdel-Mottaleb, Hoda S. Hafez, Mona Saif

“…AFM surface topographic investigation of amphiphilic molecules of Dye 1 adsorbed on TiO2 anode reveals the ability of spontaneous self-organization into highly ordered aggregates of fiber-like structure. …”
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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…The decision-making accuracy improves when these operators maintain criterion relationships because they produce unbiased and dependable evaluations of player abilities and expertise. The development includes constructing key theoretical properties while creating a reliable multi-criteria decision-making (MCDM) algorithm that enables efficient computations. …”
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Coronavirus nucleocapsid protein enhances the binding of p-PKCα to RACK1: Implications for inhibition of nucleocytoplasmic trafficking and suppression of the innate immune response... by Wenxiang Xue, Hongyan Chu, Jiehuang Wang, Yingjie Sun, Xusheng Qiu, Cuiping Song, Lei Tan, Chan Ding, Ying Liao

“…The hallmark of coronavirus infection lies in its ability to evade host immune defenses, a process intricately linked to the nuclear entry of transcription factors crucial for initiating the expression of antiviral genes. …”
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Harnessing <i>Bacillus subtilis</i> Spore Surface Display (BSSD) Technology for Mucosal Vaccines and Drug Delivery: Innovations in Respiratory Virus Immunization by Howra Bahrulolum, Parisa Beyranvand, Gholamreza Ahmadian

“…Respiratory viruses present significant global health challenges due to their rapid evolution, efficient transmission, and zoonotic potential. These viruses primarily spread through aerosols and droplets, infecting respiratory epithelial cells and causing diseases of varying severity. …”
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Towards circular economy through novel waste recycling technologies by Kristina Bazienė, Justinas Gargasas, Surya Rajendran, Jordan Nathan Solomon

“…Each technology is evaluated in terms of its ability to convert waste into valuable secondary raw materials like fuels, chemicals, and bioplastics, and its contributions to reducing environmental footprints. …”
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A Study on Multi-ship Avoidance System for Unmanned Surface Vehicles Using the Quaternion Ship Domain and Collision Risk Index by Dong-Hun Lee, Mu-Yeong Seo, Hyo-Geun Lee, Won-Jun Yoo, Sanghyun Kim, Kwang-Jun Paik

“…This integration of QSD, CRI, and VO ensures COLREGs-compliant navigation, efficient path deviation management, and enhanced safety, contributing to the development of intelligent USV navigation systems.…”
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Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

“…Universities and schools rely heavily on the ability to forecast student performance, as it enables them to develop efficient strategies for enhancing academic results and averting student attrition. …”
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Diversity-Driven Multi-Head Attention for Enhanced Trajectory Prediction by Zhen Zhang

“…This task involves multiple complex challenges: first, trajectory prediction needs to deal with significant pattern diversity, such as multiple interacting behaviors and possible paths in dynamic environments; second, the task requires finding a balance between long-term historical information and local dynamic changes in order to accurately capture the target&#x2019;s motion trends; furthermore, the generalization ability and robustness of the model are especially critical in the face of unseen data; and finally, trajectory prediction needs to satisfy efficient reasoning requirements in realtime, further increasing the complexity of the task. …”
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Swin Attention Augmented Residual Network: a fine-grained pest image recognition method by Xiang Wang, Zhiyong Xiao, Zhaohong Deng

“…Our method achieves efficient and accurate pest recognition. On the one hand, Swin-AARNet enhances local key features and establishes a feature complementation mechanism, thereby improving the extraction capability of local features. …”
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The Impact of Offshore Wind Farm Construction on Maritime Traffic Complexity: An Empirical Analysis of the Yangtze River Estuary by Jian Liu, Wenbo Yu, Zhongyi Sui, Chunhui Zhou

“…By providing a quantitative framework for assessing traffic complexity, this research advances the field’s ability to understand and manage the risks associated with OWFs. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…Simulation results based on the modified IEEE 33-node distribution network and SiouxFalls 35-node transportation network demonstrate the framework’s ability to optimize resource allocation under real-world conditions. …”
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