Education of medical caregivers in Poland: areas requiring improvement – mixed-method research by Magdalena Krysińska-Pisarek, Katarzyna Domosławska-Żylińska, Piotr Tyszko

“…In light of the demands of this role, a study was conducted with the primary objective of analysing educational outcomes and identifying areas requiring improvement in both theoretical knowledge and practical skills within the educational process for medical caregivers. Methods Convergent parallel mixed-methods design was used, with quantitative (Computer-Assisted Web Interview, CAWI and paper questionnaire)and qualitative components (3 mini Focus Group Interview, FGI) conducted concurrently and results integrated. …”
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Social robot radical innovation: capacities and status attributed to the NAO robot by 11 to 12-year-old students and preservice teachers’ perceptions by Andreja Istenič, Vid Podpečan, Violeta Rosanda, Xuesong Zhai

“…Empirical research of child-learning process in an authentic classroom and teachers’ perception of how children perceive anthropomorphic robots is deficient. …”
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Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model by Wenda Zheng, Yibo Ai, Weidong Zhang

“…With the advancement of computer vision and image processing technologies, scene recognition has gradually become a research hotspot. …”
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Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms by Jianmin Zhang, Yuliang Li, Mingxing Zhou, Sixuan Chu

“…Existing methods, primarily limited to single product categories, rely on labor-intensive user surveys and computationally expensive data processing techniques, thus failing to support cross-category collaboration. …”
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On single-station, six degree-of-freedom observations of local to regional seismicity at the Piñon Flat Observatory in Southern California by Andreas Brotzer, Heiner Igel, Felix Bernauer, Joachim Wassermann, Robert Mellors, Frank Vernon

“…The seismic array at PFO is used to compute array derived rotations and validate the direct observations of rotational ground motions. …”
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Multisensor Fault Diagnosis of Rolling Bearing with Noisy Unbalanced Data via Intuitionistic Fuzzy Weighted Least Squares Twin Support Higher-Order Tensor Machine by Shengli Dong, Yifang Zhang, Shengzheng Wang

“…A linear equation system solving strategy is adopted: the nonparallel hyperplane optimization is converted into matrix operations to improve the computational efficiency. The extensive experimental results on the two rolling bearing datasets have verified that the proposed method outperforms existing solutions in diagnostic accuracy and stability.…”
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In-Depth Analysis of Diet Diary and Urine pH Measurements Improved Food Diet Reporting in Postmenopausal Women with RUTI by Juliann W. Chavez, Alana L. Christie, Philippe E. Zimmern

“…Conclusion: In this cohort of postmenopausal women with RUTIs, in-depth analysis of our current FDR findings led to several actionable items, which will improve our current food diet self-reporting process by our patients.…”
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Dual Transformers With Latent Amplification for Multivariate Time Series Anomaly Detection by Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim

“…Third, we refine the anomaly scoring process using a scaled-softmax function, which balances relative and absolute deviations to reduce softmax-induced bias. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Additionally, DSF-YOLO significantly reduces computational complexity, achieving a 75% reduction in FLOPs and a 47.5% decrease in parameters compared to YOLOv8-X. …”
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Economic Load Dispatch of A Multi‐Area Power System Using Multi‐Agent Distributed Optimization Based on Genetic Algorithm by Seyed Yaser Fakhrmousavi, Seyed Babak Mazafari, Shahram Javadi, Mahmood Hosseini Aliabadi

“…Upon achieving convergence, each agent evaluates all operational constraints within its designated region, calculates the associated generation cost, and shares the cost value to other agents, thereby facilitating the computation of the total cost for each agent. This process continues until the best possible solution is found. …”
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PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection by Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

“…Furthermore, practical hyperspectral contaminant detection in food requires significant real-time processing capabilities, hindered by the computational inefficiency of convolution operations and the limitations of existing deep neural network architectures. …”
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Improving IoT Network Longevity with Attack Repellent Energy (SARE) Algorithm for Energy-Efficient and Secure Routing by Indra Pandian, Shanthi Thirugnasambantham, Karthikeyan Balasubramaniam, Kirubaburi Ravichandran

“…One of the significant challenges is the lack of precise knowledge about the residual energy of nodes, which leads to complications in the Cluster Head (CH) selection process. This research addresses the problem by proposing an attack-repellent algorithm that identifies potential CHs with accurate knowledge of residual energy, while minimizing computational overhead for security purposes. …”
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An integrated approach to uncertainty and global sensitivity analysis in penstock structural modeling by Manal Haddouch, Imane Hajjout, El Mostapha Boudi

“…The process culminates with Regional Sensitivity Analysis (RSA), targeting local sensitivities and enhancing understanding of local parameter influences, thereby supporting model adjustments and design optimization. …”
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Numerical study of unsteady thin film flow of power-law tetra hybrid nanofluid with velocity slip effect over a stretching sheet using sodium alginate as base fluid by Yasir Mehmood, Ammar Alsinai, Ifrah Summan, Muhammad Bilal

“…This study not only builds upon existing research but also provides new computational insights into the potential applications of tetrahybrid nanofluids in areas like food processing and other industries requiring effective thermal management.…”
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Root segmentation of horticultural plants in X-Ray CT images by integrating 2D instance segmentation with 3D point cloud clustering by Mary E. Cassity, Paul C. Bartley, Yin Bao

“…X-ray computed tomography (CT) is a powerful tool for in situ plant root system architecture (RSA) characterization. …”
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FLEDNet: Enhancing the Drone Classification in the Radio Frequency Domain by Boban Sazdic-Jotic, Milenko Andric, Boban Bondzulic, Slobodan Simic, Ivan Pokrajac

“…The FLEDNet approach contrasts with other research efforts that have employed more complex image processing methodologies alongside sophisticated classification models.…”
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A Review on Revolutionizing Healthcare Technologies with AI and ML Applications in Pharmaceutical Sciences by Priyanka Kandhare, Mrunal Kurlekar, Tanvi Deshpande, Atmaram Pawar

“…AI-driven predictive maintenance, process optimization, and inventory management have enhanced efficiency in pharmaceutical manufacturing and supply chains. …”
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Independent effects of mental health disorders on breast cancer and their mediating factors: evidence from NHANES and two-step Mendelian randomization by Kang Ma, Xueyan Mao, Hongkai Zhuang, Cheng Long, Bo Chen

“…Conclusion Our findings suggests that anxiety susceptibility at the genetic level is a distinct risk factor for BC, with no mediators identified in this process.…”
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Automatic Detection of Laparoscopic Videos Distortion Using Machine Learning Classification by Mohamed Belmokeddem, Kamila Khemis, Salim Loudjedi

“…The method exhibits high performance, excelling in both accuracy and processing speed. Notably, the method's advantage lies in its simplicity and the fact that it does not necessitate high-performance computer hardware. …”
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Towards prediction of pseudo-normal SPECT image data using variational autoencoder by Katerina Dudasova, Jiri Trnka

“…BACKGROUND: This study aims to evaluate the feasibility of generating pseudo-normal single photon emission computed tomography (SPECT) data from potentially abnormal images. …”
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