Organizational interventions and strategies for COVID-19 pandemic management in acute care setting: A qualitative interview study with nurse leaders in German hospitals by Maria Zink, Johannes Wendsche, Steffi G. Riedel-Heller, Franziska Jung, Marlen Melzer

“…Participants: The study included 30 nurse leaders from nine different hospitals, representing a diverse sample in terms of hospital characteristics (ownership, hospital size, regional distribution, and level of care) and participant demographics. Methods: Data were collected through semi-structured interviews, transcribed, and analyzed using qualitative content analysis in MAXQDA. …”
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Dynamic prediction of surface subsidence at any point based on Boltzmann time function model by Liangji XU, Zhihao SUN, Xiaopeng LIU, Kun ZHANG, Zongyou CAO

“…Results indicate that the dynamic prediction relative error during the mining process is less than 6.0%, the minimum is 2.7%.…”
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Long-Term Assessment of the Properties of Load Sensors Applied in Weigh-in-Motion Systems by Janusz Gajda, Ryszard Sroka, Piotr Burnos, Mateusz Daniol

“…All of this resulted in the obtainment of a unique set of measurement data, the analysis of which allowed for the assessment and comparison of the proprieties of the load sensors made with both technologies.…”
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Modeling drug retention as memory effects in obese patients using fractional and augmented models by Amani R. Ynineb, Erhan Yumuk, Dana Copot, Bora Ayvaz, Bouchra Khoumeri, Ghada Ben Othman, Marcian D. Mihai, Isabela R. Birs, Cristina I. Muresan, Clara M. Ionescu

“…Sensitivity analysis confirms the impact of the fractional-order parameter ( $$\alpha _{31}$$ ) on long-term BIS dynamics. …”
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Effects of poultry by-product meal and complete replacement of fish oil with alternative oils on growth performance and gut health of rainbow trout (Oncorhynchus mykiss): a FEEDNET... by Imam Hasan, Simona Rimoldi, Biagina Chiofalo, Marianna Oteri, Micaela Antonini, Rosangela Armone, Violeta Kalemi, Laura Gasco, Genciana Terova

“…This globally used model serves as a tool for data interpretation and decision support in the context of precision fish farming. …”
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Enhancing Arabic Language Education through Virtual Education: Validation of a Teaching Model in Iraqi Secondary Schools by Abbas Taher Allawi Gharabat, Nasrolah Ghashghaeizadeh, Jalal Shanta Jaber, Faranak Mosavi

“…The research utilized a researcher-developed questionnaire designed to assess the efficacy of the virtual education model in Arabic language teaching. Qualitative data were analyzed using inductive content analysis, and a significance level (p-value) of 0.05 was applied to determine statistical significance. …”
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Color-Sensitive Sensor Array Combined with Machine Learning for Non-Destructive Detection of AFB₁ in Corn Silage by Daqian Wan, Haiqing Tian, Lina Guo, Kai Zhao, Yang Yu, Xinglu Zheng, Haijun Li, Jianying Sun

“…Twenty self-developed CSAs were employed to react with samples, with reflectance spectra collected using a portable spectrometer. Spectral data were optimized through seven preprocessing methods, including Standard Normal Variate (SNV), Multiplicative Scatter Correction (MSC), first-order derivative (1st D), second-order derivative (2nd D), wavelet denoising, and their combinations. …”
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Measuring the quality of self-care of elderly patients with dementia in a developing country by Dennis Rogers Buwembo, Joy Louise Gumikiriza-Onoria, Lwere Kamada, Mark Kaddu-Mukasa, Joseph Kagaayi, Juliet Kiguli, Martha Sajatovic, Noeline Nakasujja, Fredrick Makumbi

“…The three-factor model applied to the 20 items, adequately fit the data (Comparative Fit Index = 0.88, Tucker–Lewis Index = 0.87, Root Mean Square Error of Approximation = 0.08; 90% Confidence Interval (0.06–0.09), Standardized Root Mean Square Residual = 0.089). …”
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Psychometric evaluation of the HFDD, PROMIS SD SF 8b, and MENQOL questionnaire in women experiencing vasomotor symptoms associated with menopause by Andrew Trigg, Melissa Barclay, Sophie Whyman, Asha Lehane, Helena Bradley, Christoph Gerlinger, Christian Seitz, Adam Gater, Claudia Haberland

“…Inter-item correlations, and confirmatory factor analysis or item-response theory supported dimensionality and scoring for the MENQOL and PROMIS SD SF 8b, respectively. …”
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Design and parameter optimization of portable tree transplanting machine by Zhang Jingping, Zhu Jianxi, Sun Teng

“…Meanwhile, the software of Design-Expert 7.0.0 was taken to analyze the experimental data, and the quadratic regression mathematical model was established which can expound the relationship between the three operating parameters and response value. …”
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Quantification of CO₂ hotspot emissions from OCO-3 SAM CO₂ satellite images using deep learning methods by J. Dumont Le Brazidec, J. Dumont Le Brazidec, P. Vanderbecken, A. Farchi, G. Broquet, G. Kuhlmann, M. Bocquet

“…The results are very promising, showing a relative difference in the predictions to reported emissions only slightly higher than the relative error diagnosed from the experiments with synthetic images. …”
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Performance Assessment of Landsat-9 Atmospheric Correction Methods in Global Aquatic Systems by Aoxiang Sun, Shuangyan He, Yanzhen Gu, Peiliang Li, Cong Liu, Guanqiong Ye, Feng Zhou

“…To evaluate the uncertainties in water surface reflectance derived from OLI-2, this study conducts a comprehensive performance assessment of six atmospheric correction (AC) methods—DSF, C2RCC, iCOR, L2gen (NIR-SWIR1), L2gen (NIR-SWIR2), and Polymer—using in-situ measurements from 14 global sites, including 13 AERONET-OC stations and 1 MOBY station, collected between 2021 and 2023. Error analysis shows that L2gen (NIR-SWIR1) (RMSE ≤ 0.0017 sr⁻¹, SA = 6.33°) and L2gen (NIR-SWIR2) (RMSE ≤ 0.0019 sr⁻¹, SA = 6.38°) provide the best results across four visible bands, demonstrating stable performance across different optical water types (OWTs) ranging from clear to turbid water. …”
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A Tutorial on Wideband XL-MIMO: Challenges, Opportunities, and Future Trends by Mohammad Parvini, Bitan Banerjee, Muhammad Qurratulain Khan, Torge Mewes, Ahmad Nimr, Gerhard Fettweis

“…This frequency-dependent misalignment of the beam degrades array gain, increases bit error rate, and limits data rates, especially in wideband scenarios. …”
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Calibration of Discrete Element Simulation Parameters and Model Construction for the Interaction Between Coastal Saline Alkali Soil and Soil-Engaging Components by Nan Xu, Zhenbo Xin, Jin Yuan, Zenghui Gao, Yu Tian, Chao Xia, Xuemei Liu, Dongwei Wang

“…The results of the sliding friction angle test on different depths of saline alkali soil at -65Mn were further verified using the discrete element method, with a maximum error of 3.11%, which falls within the allowable range. …”
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Local gyrification index and sulcal depth as imaging markers of cognitive decline in Alzheimer’s disease by Yongsik Sim, Changmin Seo, Young-gun Lee, Byoung Seok Ye, Ilwoo Lyu, Ilwoo Lyu, Beomseok Sohn

“…Cluster-level significance was determined using a family-wise error (FWE)–corrected threshold of p < 0.05, with a cluster-forming height threshold of uncorrected p < 0.01.ResultsThe analysis included patients with a mean age of 73.7 years and an average MMSE score of 23.8. …”
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Investigating the Relationships between Internet Addiction and Suicidal Ideation in Adolescent Girls by Zeynab Akbari, Fatemeh Serjouie, Jafar Sarani Yaztappeh, Mohammad Hossein Turkzadeh, Faeze Ziaei, Ali Bagheri, Maryam Sate Zohd, Amir Sam Kianimoghadam

“…Participants completed the Multidimensional Scale of Perceived Social Support (MSPSS), the Beck Scale for Suicidal Ideation (BSSI), the Cell-Phone Over-Use Scale (COS), the Youth Self-Report (YSR), and the Toronto Alexithymia Scale-20 (TAS-20) in a written manner. Data analysis was done using SPSS 25 and AMOS 22. …”
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Feasibility of Implementing Motion-Compensated Magnetic Resonance Imaging Reconstruction on Graphics Processing Units Using Compute Unified Device Architecture by Mohamed Aziz Zeroual, Natalia Dudysheva, Vincent Gras, Franck Mauconduit, Karyna Isaieva, Pierre-André Vuissoz, Freddy Odille

“…Furthermore, a roofline analysis was conducted to quantify the kernel’s performance on one of the evaluated datasets. …”
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Consumers’ Reactions to Brand Transgressions and Recovery Strategies: The Moderating Effect of Brand Image and the Mediating Role of Forgiveness by Naghmeh Sheibani Moghadam, Masoud Keimasi, Rosa Hendijani, Mohammad Saleh Torkestani

“…Data analysis was performed with ANOVA and moderated mediation (PROCESS).   …”
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Artificial Intelligent Model to Enhance Thermal Conductivity of TiO₂-Al₂O₃/Water-Ethylene Glycol-Based Hybrid Nanofluid for Automotive Radiator by Md. Munirul Hasan, Md. Mustafizur Rahman, Md. Arafatur Rahman, Suraya Abu Bakar, Mohammad Saiful Islam, Tarek Khalifa

“…Furthermore, apart from utilizing the ANN, we employed techniques like support vector machine (SVM) and curve fitting (CF) approaches to analyze the experimental data. This allowed us to calculate values such as the correlation coefficient (R) and mean square error (MSE). …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…Therefore, the ML and artificial neural network (ANN) models were trained using real data collected from 100 experimental RSW samples conducted under different RSW process parameters. …”
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