Surface Defect Detection Based on Adaptive Multi-Scale Feature Fusion by Guochen Wen, Li Cheng, Haiwen Yuan, Xuan Li

“…However, the diversity of defects and the presence of complex backgrounds bring significant challenges to salient object detection. …”
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Neural ODE-Based Dynamic Modeling and Predictive Control for Power Regulation in Distribution Networks by Libin Wen, Jinji Xi, Hong Hu, Li Xiong, Guangling Lu, Tannan Xiao

“…The traditional models often fail to capture the complex aggregate dynamics required for advanced control strategies. …”
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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

“…VBA also allows you to automate repetitive tasks involving complex mathematical calculations, which saves time and reduces errors. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…Abstract The growing number of patients and the emergence of new symptoms and diseases make health monitoring and assessment increasingly complex for medical staff and hospitals. The execution of big and heterogeneous data gathered by medical sensors and the necessity of patient classification and disease analysis have become serious problems for various health-based sensing applications. …”
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Challenges of providing of special care services in hospitals during emergencies and disasters: a scoping review by Mohammad Masbi, Nader Tavakoli, Mohsen Dowlati

“…Results are presented in accordance with the PRISMA checklist to ensure quality and transparency. Data was analyzed through a systematic coding process where common themes across the studies were identified. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…As environmental sciences increasingly rely on complex datasets, machine learning (ML) has become crucial for identifying patterns and relationships. …”
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Electromyography-Based Gesture Recognition With Explainable AI (XAI): Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics by Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai, Shu Hoshitaka, Pankoo Kim

“…These results demonstrate the system’s capability to handle complex sEMG dynamics, offering advancements in prosthetic limb control and human-machine interface technologies with significant implications for assistive technologies.…”
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Ethical Aspects of the Influence of Neural Networks on the Lives of Students in the Context of a Sociological Approach (using the Example of Students of the IT Department of ETU) by A. S. Kurapova, S. V. Kurapov, A. D. Derzhavina, N. V. Shatilo

“…The modern understanding of artificial intelligence as a complex of technologies capable of imitating human cognitive functions, including selflearning, is considered. …”
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Performance-based payments and intrinsic motivation among primary healthcare workers in China: a cross-sectional survey by Beibei Yuan, Jia Li, Haipeng Wang, Xianjing Qin

“…Additionally, subanalysis was conducted across different performance dimensions, including whom to incentivise and the domain of performance measured.Results The results revealed a complex relationship between the proportion of the PBP component of the total salary and intrinsic motivation levels among primary healthcare workers. …”
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Intelligence data acquisition based on embedded system in Chinese cuisine cooker (CCICR V1.0) by Jianbao Zhang, Deyi Wang, Shiping Bao, Xin Chang, Yi Liang

“…Experimental results demonstrate the effectiveness of CCICR-V1.0 in achieving multi-channel, high-frequency data acquisition and storage in complex environments. This leads to an increase in automation efficiency of 89.9%. …”
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Humoral regulation of eating behavior: established and new concepts by E. A. Ljaljukova, Z. A. Beslangurova, A. Ya. Chamokova, A. A. Halashte, Yu. Yu. Migunova

“…Eating behavior is controlled by a complex system, which includes the interaction of central and humoral links of regulation. …”
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Using statistical modelling and machine learning in detecting bone properties: A systematic review protocol. by Osama Abdelhay, Rand Alshoubaki, Sana Murad, Omar Abdel-Hafez, Qusai Abdelhay, Bassem Haddad, Tasneem Alhosanie, Hala Ajlouni, Leanne Ajlouni, Tareq Qarain, Hamzeh Murad, Taghreed Altamimi

“…However, the emergence of artificial intelligence (AI) and machine learning (ML) has brought promising tools capable of analysing complex medical data to enhance the detection and prediction of osteoporosis-related bone properties. …”
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The burden of drug resistance tuberculosis in Ghana; results of the First National Survey. by Augustina Angelina Sylverken, Alexander Kwarteng, Sampson Twumasi-Ankrah, Michael Owusu, Rejoice Agyeiwaa Arthur, Rexford Mawunyo Dumevi, Louis Adu-Amoah, Nicholas Addofoh, Portia Boakye Okyere, Francisca Dzata, Frank Bonsu, Yaw Adusi-Poku, Katharina Kranzer, Andrew Siroka, Wayne van Gemert, Anna Dean, Ellis Owusu-Dabo

“…Mycobacterium tuberculosis complex (MTBC) isolates were successfully cultured from 598 (65.5%) patient samples and underwent DST, 550 from newly diagnosed and 48 from previously treated patients. …”
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The Control of Shield Tunnel Construction-Induced Ground Settlement Based on an Optimized Gap Parameter Theory and Three-Dimensional Finite Element Analysis by Hanzhang Guo, Guangcheng Zhang, Zhihong Wu, Jiaqi Wang

“…To summarize, the proposed optimized gap parameter theory, combined with the corresponding numerical simulation technology, provides a good tool for the control of ground settlement caused by shield tunnel excavation in complex strata, such as binary structure strata.…”
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Lateral Collateral Ligament Repair With Reconstruction Augmentation by Patrick Szukics DO, Frantz Lerebours MD, Jose Robaina MD, Gautam Yagnik MD, James Ross MD

“…The procedure is a reliable and effective method for treating complex LCL injuries, offering significant improvements in stability and function. …”
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RDSF-Net: Residual Wavelet Mamba-Based Differential Completion and Spatio-Frequency Extraction Remote Sensing Change Detection Network by Shuo Wang, Dapeng Cheng, Genji Yuan, Jinjiang Li

“…Although the remote sensing change detection technology has made great progress in recent years, it still faces many thorny problems: first, the complex heterogeneity of ground objects leads to imperfect processing of the change structure information; second, the influence of nonstationary changes due to seasonal factors. …”
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CO20 | Coagulation alterations as prognostic indicators in septic patients

“…For this reason, early identification of coagulopathy is fundamental to ensure timely and effective patient management. …”
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Using the grounded theory to develop the theoretical model of Chinese school sports coaching competence by Zuen Cheng, Yue Xu, Mei Zhou, Zhihua Yin, Liping Xu, Wenwen Chen

“…Abstract Background School sports coaching is gaining recognition as a formal profession worldwide, highlighting its significant role in students’ holistic development. Given the complex social and cultural dimensions of the role, this study explores a coaching competence model tailored to the school context, emphasizing the need to consider both national and local frameworks to ensure effective implementation. …”
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Attention Enhanced InceptionNeXt-Based Hybrid Deep Learning Model for Lung Cancer Detection by Burhanettin Ozdemir, Emrah Aslan, Ishak Pacal

“…To ensure robustness and generalizability, the model was trained and validated using two public datasets, Chest CT and IQ-OTH/NCCD, employing transfer learning and pre-processing techniques to improve detection accuracy. …”
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Design and development of motorcycle helmet using carbon fiber reinforced epoxy resin hybrid composite by Nuzhat Aqila Tushe, Syed Tanjib Mahmud, Nafiul Islam, Golam Mostofa, Noshin Tasnim Tuli, Adib Bin Rashid

“…With scanning electron microscope (SEM), the structural morphology of hybrid composites is examined to understand the complex microstructures and interfaces present in the composite materials.…”
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