Monetary Policy and Domestic Investment in Nigeria: The Role of the Inflation Rate by Ezeibekwe Obinna Franklin

“…Economic theory suggests that monetary policy can be used to stabilize an economy. However, the ability of monetary policy targets—interest rates and money supply—to stabilize an economy depends on their ability to achieve price stability. …”
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Leveraging three-dimensionality for navigation in bluff-body wakes by Vedasri Godavarthi, Kartik Krishna, Steven L. Brunton, Kunihiko Taira

“…Biological flyers and swimmers navigate in unsteady wake flows using limited sensory abilities and actuation energies. Understanding how vortical structures can be leveraged for energy-efficient navigation in unsteady flows is beneficial in developing autonomous navigation for small-scale aerial and marine vehicles. …”
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Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques by Syed Ibrar Hussain, Elena Toscano

“…DenseNet-201 and MobileNet-V3 Large demonstrated strong generalization abilities, whereas EfficientNetV2-B3 and NASNet Mobile achieved the best balance between accuracy and efficiency. …”
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ARTEMIS: An independently validated prognostic prediction model of breast cancer incorporating epigenetic biomarkers with main effects and gene-gene interactions by Maojie Xue, Ziang Xu, Xiang Wang, Jiajin Chen, Xinxin Kong, Shenxuan Zhou, Jiamin Wu, Yuhao Zhang, Yi Li, David C. Christiani, Feng Chen, Yang Zhao, Ruyang Zhang

“…Conclusion: ARTEMIS is an efficient and practical tool for breast cancer prognostic prediction.…”
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Global and local path planning of robots combining ACO and dynamic window algorithm by Yaping Lu, Chen Da

“…Therefore, a global and local path planning method combining improved ant colony algorithm and improved dynamic window algorithm is proposed. The optimization ability, convergence efficiency, and obstacle avoidance performance are optimized in complex environments. …”
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Experimental study on the effect of Zfp260 on osteogenic differentiation, proliferation and migration of MC3T3-E1 cells in vitro by WU Jun, WANG Zuolin

“…The change of proliferation ability of MC3T3-E1 cells after knockdown of Zfp260 was detected by CCK8 experiment. …”
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Comparison of flipped classroom and lecture-based models in a radiology residency training program by Weishu Hou, Yangyang Xue, Hongli Pan, Xuemei Zhao, Hongmin Shu, Xiaohu Li, Yongqiang Yu

“…Conclusion The FC teaching model is a feasible and effective approach for radiology residents to enhances their learning ability and efficiency, and improves their satisfaction with teaching quality.…”
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Solving the Economic Load Dispatch Problem by Attaining and Refining Knowledge-Based Optimization by Pravesh Kumar, Musrrat Ali

“…The examination of the numerical and statistical results confirms the remarkable efficiency and potential practical ability of ARKO in complex optimization tasks.…”
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Preparing a Teaching Pohtmlolio for Law Educators by Patricia Weeks

“…Whether you are a lecturer or tutor in law you will be aware of how difficult it is to actually present evidence of your ability to teach. This article outlines a process to assist you in the preparation of evidence in supporting claims about your teaching ability. …”
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Application of Machine Learning Algorithms for Predicting the Dynamic Stiffness of Rail Pads Based on Static Stiffness and Operating Conditions by Isaac Rivas, Jose A. Sainz-Aja, Diego Ferreño, Víctor Calzada, Isidro Carrascal, Jose Casado, Soraya Diego

“…The vertical stiffness of railway tracks is crucial for ensuring safe and efficient rail transport. Rail-pad dynamic stiffness is a key component influencing track performance. …”
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Photocatalytic degradation of rhodamine B using zinc oxide/silver nanowire nanocomposite films under ultraviolet irradiation by Noah Jang, June Soo Kim, Hyunjun Kim, Da Ye Kim, Yujin Nam, Maeum Han, Seong Ho Kong

“…ZnO is well known for its strong photocatalytic activity because of its high charge-carrier mobility and ability to generate reactive oxygen species (ROS). …”
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Multi-input PINN Surrogate Model for Digital Twin of Lead-cooled Fast Reactor Main Pump by GUO Yiwen, LI Liangxing, XIANG Zutao, GUI Jiabin, SHI Shang, LEI Zhenxin, XU Xiangyang

“…The conclusion indicates that the surrogate model can effectively fit nonlinear training data, with high prediction accuracy and generalization capability, providing a rapid and efficient flow field prediction tool for the design of the MCP of LFRs, which can be used as the state tracking module in the corresponding digital twin software.…”
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Probiotic spore-based antigen delivery: a novel oral vaccine strategy against Vibrio infections in aquaculture by Marina De Stefano, Giovanni Di Gregorio Barletta, Simona Morgera, Ylenia De Luca, Chiara Belaeff, Karen Power, Loredana Baccigalupi, Gionata De Vico, Ivan Conte, Ezio Ricca, Anella Saggese

“…Spores of various species of the Bacillus genus are widely used as probiotics and have been shown to efficiently display antigens in a non-recombinant way. …”
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Carbon Dot-Modulated Phase-Change Composites for Wide Temperature Range and High-Density Heat Storage and Release by Jingya Liang, Ning Li, Jie Wu, Qing Chang, Jinlong Yang, Shengliang Hu

“…This work provides a facile and efficient strategy for the design of ideal thermal energy storage materials to meet the needs of application scenarios in a cost-effective manner.…”
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A High-Sensitivity, Bluetooth-Enabled PCB Biosensor for HER2 and CA15-3 Protein Detection in Saliva: A Rapid, Non-Invasive Approach to Breast Cancer Screening by Hsiao-Hsuan Wan, Chao-Ching Chiang, Fan Ren, Cheng-Tse Tsai, Yu-Siang Chou, Chun-Wei Chiu, Yu-Te Liao, Dan Neal, Coy D. Heldermon, Mateus G. Rocha, Josephine F. Esquivel-Upshaw

“…Breast cancer is a leading cause of cancer-related mortality worldwide, requiring efficient diagnostic tools for early detection and monitoring. …”
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Application of construction and demolition waste (gypsum and mortar) for the removal of metal ions, Pb2+, Cu2+, and Ni2+ by Jefferson Luiz Alves Marinho, Francisco Assis Bezerra da Cunha, Raimundo Nonato Pereira Teixeira, Henrique Douglas Melo Coutinho, Jorge Marcell Coelho Menezes, Francisco José de Paula Filho, Lucia Raquel de Lima, Cícera Datiane de Morais Oliveira Tintino, Hyan Thompson Oliveira Lopes, Paulo Ives Pereira de Alcântara

“…As civilization progresses, the level of environmental pollution with toxic metals has also intensified. The ability to quickly detect heavy metal pollution in wastewater and find its source is critical for environmental monitoring and protection. …”
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Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

“…This improvement can enhance the feature extraction ability of the Backbone network, as the new modules can fully utilize the information of all dimensions of the convolutional kernel. (2) An Efficient Channel Attention (ECA) module is added to the Neck for improving the network’s capability to extract deep semantic feature information of the detection target. (3) In the Bbox module of the prediction head, the Complete Intersection over Union (CIoU) loss function is replaced by the Weighted Intersection over Union version 3 (WIoUv3) loss function to improve the convergence speed of the bounding box loss function and reduce the convergence value of the loss function. …”
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RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…To address these limitations, this research aims to develop a lightweight yet high-accuracy detection model tailored for complex field environments that balances computational efficiency with robust performance. We propose RDRM-YOLO, an enhanced YOLOv5-based network, integrating four key improvements: (i) a cross-stage partial network fusion module (Hor-BNFA) is integrated within the backbone network’s feature extraction stage to enhance the model’s ability to capture disease-specific features; (ii) a spatial depth conversion convolution (SPDConv) is introduced to expand the receptive field, enhancing the extraction of fine-grained features, particularly from small disease spots; (iii) SPDConv is also integrated into the neck network, where the standard convolution is replaced with a lightweight GsConv to increase the accuracy of disease localization, category prediction, and inference speed; and (iv) the WIoU Loss function is adopted in place of CIoU Loss to accelerate convergence and enhance detection accuracy. …”
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Assessing the Influence of Marine Port Remediated Sediments on Highbush Blueberry Growth and Trace Elements Accumulation by Stefania Nin, Daniele Bonetti, Maurizio Antonetti, Cristina Macci, Edgardo Giordani, Lorenzo Bini

“…However, this accumulation did not reach toxic levels for the plants and did not negatively impact the physiological processes of control plants, which remained particularly efficient in the Duke cv, known for its Mn resistance. …”
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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…The MoE-Transformer's ability to outperform several pre-trained BERT models marks a stride in applying NLP techniques to clinical data and integrating into a Clinical Decision Support System in a Pediatric Intensive Care Unit. …”
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