A New Evaluation Model for the Readiness and Maturity Level of Intelligent and Sustainable Supply Chain Management Based on Geometric Mean by Sercan Demir, Mehmet Akif Gündüz, Turan Paksoy

“…Real-time information sharing among supply chain players and the effective coordination of each step of the chain are critical for efficient supply chain management. This is made possible by the transition from the traditional supply chain to the digital supply chain. …”
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Lost in transition: from medical student to clinical supervisor - a mixed-methods study by Capucine Delorme, Terese Stenfors, Anders Sondén

“…Reflexive thematic analysis was used to generate themes. Quantitative data was collected through a survey related to affections, challenges, and organizational aspects of supervision. …”
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Multi-Channel Coupled Variational Bayesian Framework with Structured Sparse Priors for High-Resolution Imaging of Complex Maneuvering Targets by Xin Wang, Jing Yang, Yong Luo

“…A variational Bayesian inference (VBI) approach is developed for efficient parameter estimation and robust image recovery. …”
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Assessment of plant diversity index in degraded desert grassland using UAV hyperspectral multimodal data and Encoder-CNN by Zhaohui Tang, Chuanzhong Xuan, Tao Zhang, Xinyu Gao, Suhui Liu, Mengqin Zhang

“…Abstract The biodiversity function of the desert steppe ecosystem faces many challenges under the pressure of climate change and human activities. Accurate and efficient assessment of plant diversity is critical for guiding desert steppe restoration efforts. …”
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Compensation and Retention of Civil Servants in Uganda: A Case of Rubanda District Local Government. by Tubenawe, Akileo

“…It was recommended that staff base salaries be offered for efficient service delivery.…”
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Customer Care and Increased Clientele: A Case Study of Centenary Bank Kabale Branch. by Tusiime, Bridget

“…The study adopted a descriptive research design comprising of both qualitative and quantitative approaches. The study consisted of clients, employees, and branch managers. …”
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Internal Control Systems and Quality Service Delivery: A Case Study of Kabale Municipal Council. by Ahimbisibwe, Laban Isaac

“…The collected data was analyzed using qualitative and quantitative methods where frequency and percentage tables as well as pie charts and graphs were used to determine the effect of internal control on quality of service delivery. …”
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Civil Servants and Political Leaders’ Performance in Service Delivery in Kisoro District Local Government, Uganda. by Zigira Sam, Niyonzima

“…In conducting the study, the researcher employed descriptive research design which was backed up by qualitative and quantitative research approaches. It targeted civil servants and political leaders of Kisoro District and used a sample of 80 respondents who were selected using simple random and purposive sampling techniques. …”
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Staff Training Programmes and Teachers’ Job Performance in Selected Secondary Schools of Kanungu Town Council, Kanungu District by Richard Bens, Agaba

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Tissue-engineered cartilage regeneration based on human induced pluripotent stem cells by LI Yangyang, ZHANG Maolin, ZOU Duohong, ZHANG Zhiyuan

“…[Objective:] To establish a stable and efficient culture approach for guiding human induced pluripotent stem cells (hiPSCs) differentiation towards chondrogenic mesodermal lineage, and preliminarily explore the possibility of hiPSCs-derived cartilaginous pellets for articular cartilage regeneration. …”
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The Study of Removal of Remazol Red with Biomaterial Paras Stone and <i>Opuntia ficus-indica</i> by Coagulation-Flocculation by Siti Hulwati, Qonitah Fardiyah, Barlah Rumhayati, Vita Dwi Anggraini

“…The removal of remazol red dye was quantitatively analyzed using a UV-vis spectrophotometer at a wavelength of 520 nm. …”
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Dynamic Weight Model Predictive Control for Longitudinal Adaptive Cruise Systems in Electric Vehicles by Wentian Wei, Lan Li, Qiyuan Li, Song Zhang, Chaoqun Fan, Lizhe Liang

“…This paper proposes a dynamic weight model predictive control (DWMPC) strategy for adaptive cruise control (ACC) in pure electric vehicles, aiming to enhance robustness, energy efficiency, and ride comfort under complex traffic conditions. …”
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X-FASNet: cross-scale feature-aware with self-attention network for cognitive decline assessment in Alzheimer's disease by Wenhui Chen, Shunwu Xu, Yiran Peng, Yiran Peng, Hong Zhang, Jian Zhang, Huaihao Zheng, Hao Yan, Zhaowen Chen, Zhaowen Chen

“…The proposed architecture implements a dual-pathway multi-scale feature extraction approach to identify discriminative neuroanatomical patterns across various spatial resolutions, while integrating a novel cross-scale feature-aware self-attention module that enhances inter-scale information exchange and captures long-range dependencies. Quantitative evaluations on the DPC-SF dataset demonstrate that X-FASNet achieves superior performance with 93.7% accuracy and 0.973 F1-score, outperforming CONVADD by 10.8 percentage points in accuracy and 0.118 in F1-score, while also surpassing EfficientB2 on key performance metrics. …”
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A Global-Speed-Region Voltage Angle Control Method Considering Dead-Time Effect Compensation for Permanent Magnet Synchronous Motor Drives by Xiongwei Jiang, Cheng Lin, Jilei Xing, Yao Xu, Yu Tian

“…Additionally, the relationship between the dead time and <i>MI</i> is quantitatively analyzed, and a global-speed-region VAC method is proposed to compensate the dead-time effect and reduce the energy loss. …”
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Cleaning of Abnormal Wind Speed Power Data Based on Quartile RANSAC Regression by Fengjuan Zhang, Xiaohui Zhang, Zhilei Xu, Keliang Dong, Zhiwei Li, Yubo Liu

“…Firstly, the first type of abnormal data is cleaned based on operational criteria; secondly, the quartile method is used to eliminate sparse abnormal data to obtain a clearer boundary line; on this basis, the Random Sample Consensus (RANSAC) algorithm is employed to eliminate stacked abnormal data; finally, the effectiveness of the proposed algorithm in cleaning abnormal data with a high proportion of stacked abnormalities is verified through case studies, and evaluation indicators are introduced through comparative experiments to quantitatively assess the cleaning effect. The research results indicate that the algorithm excels in cleaning effectiveness, efficiency, accuracy, and rationality of data deletion. …”
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Coupling Strategies Investigation of Hybrid Atomistic-Continuum Method Based on State Variable Coupling by Qian Wang, Xiao-Guang Ren, Xin-Hai Xu, Chao Li, Hong-Yu Ji, Xue-Jun Yang

“…This study aims to quantitatively investigate this effect and offer the guidance on how to choose the proper configuration of coupling strategies in the hybrid atomistic-continuum method. …”
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The impact of vehicle lane-changing on the speed and delay of vehicles in the target lane based on the GMM-HMM by Quantao Yang, Peikun Li, Ding Lv, Guirong Hu, Xiaohan Wang

“…Our results offer a basis for developing strategies aimed at mitigating traffic congestion and enhancing traffic flow efficiency.…”
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Risk Evaluation Study of Urban Rail Transit Network Based on Entropy-TOPSIS-Coupling Coordination Model by Fawen Gao, Zhibin Zhang, Mengxing Shang

“…As one of the core systems of a city, urban rail transit plays a pivotal role in ensuring the safe, rational, and efficient operation of the city. Therefore, it is of great significance to ensure the safe operation of urban rail transit network to improve the operation efficiency and economic level of the city. …”
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Reliability-Based Geotechnical Design Method Using the Gaussian Process Regression–Based Differential Evolution Algorithm by Kai Wen, Zemin Kuang, Wei Zeng, Sanyou Zeng, Yue Qiu

“…The innovative use of expected improvement (EI) as a selection criterion for potential solutions is a key feature of this method. EI quantitatively evaluates each candidate’s potential to enhance economic efficiency and safety reliability, effectively converting the COP into a single-objective optimization problem (SOOP). …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…Additionally, the LoL-MDC integrates a winning probability metric to quantitatively enhance the selection of pivotal game events, ensuring relevance in esports analytics. …”
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