Examining age, period and cohort effects in attitude change to childhood vaccinations in a representative New Zealand survey: a multiyear cohort-sequential growth modelling study by Emily Hayes, Kumar Yogeeswaran, Elena Zubielevitch, Carol H J Lee, Jacinta Cording, Chris G Sibley

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A machine learning PROGRAM to identify COVID-19 and other diseases from hematology data by Patrick A Gladding, Zina Ayar, Kevin Smith, Prashant Patel, Julia Pearce, Shalini Puwakdandawa, Dianne Tarrant, Jon Atkinson, Elizabeth McChlery, Merit Hanna, Nick Gow, Hasan Bhally, Kerry Read, Prageeth Jayathissa, Jonathan Wallace, Sam Norton, Nick Kasabov, Cristian S Calude, Deborah Steel, Colin Mckenzie

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Predicting the geospatial distribution of Chinese rice nutrient element in regional scale for the geographical origin—A case study on the traceability of Japonica rice by Meiling Sheng, Chunlin Li, Weixing Zhang, Jing Nie, Hao Hu, Weidong Lou, Xunfei Deng, Shengzhi Shao, Xiaonan Lyu, Zhouqiao Ren, Karyne M. Rogers, Syed Abdul Wadood, Yongzhi Zhang, Yuwei Yuan

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Virtual-Vector-Based Predictive Torque Control for Six-Phase IM With Reduced Computational Burden and Copper Losses by Osvaldo Gonzalez, Jesus Doval-Gandoy, Magno Ayala, Jorge Rodas, Paola Maidana, Christian Medina, Carlos Romero, Larizza Delorme, Raul Gregor, Ricardo Maciel

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Article RETRACTED due to manipulation by the authors Mejora de los resultados de aprendizaje de Pencak Silat: un enfoque de autoevaluación basado en Android para la educación físic... by Nurul Ihsan, Ardo Okilanda, Mottakin Ahmed, Patrick Keilbart, Mohamad Nizam Mohamed Shapie, Suwirman Suwirman, Weny Sasmitha

“…Pencak Silat, un componente clave, exige precisión en las técnicas fundamentales, lo que hace que la corrección inmediata de errores sea fundamental. Después de la pandemia de COVID-19, el panorama educativo ha cambiado, lo que impulsa la exploración de enfoques innovadores. …”
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Biofilm Formation in Dairy: A Food Safety Concern—Insights into the prevalence of Pseudomonadota and yeasts on milking system surface biofilms by Mérilie Gagnon, Samuel Jean, Juan de Toro-Martín, Gisèle LaPointe, Évelyne Guévremont, Simon Dufour, Denis Roy

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Artificial neural networks analysis of entropy generation in magnetic-micropolar nanofluid flow equipped with porous media and Darcy-Forchheimer law by Zahoor Iqbal, Md Fayz- Al- Asad, Huiying Xu, Xinzhong Zhu, Muhammad Sajjad Hossain, Ridha Selmi, M.M. Alqarni, Sharifah E. Alhazmi, Fahima Hajjej, M.M.H. Imran

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Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

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Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition by Huawei Zhou, Liang Zhu, Yihong Zhou, Dongfeng Li, Tao Fang, Chunju Zhao, Zhipeng Liang, Fang Wang, Lei Lei

“…The results of the grading test align well with the sample data, demonstrating an accuracy exceeding 97 % and a relative error maintained within 2 %. This research addresses the challenges associated with identifying fine particles smaller than 5 mm and the occlusion issues between earth-rock materials during the grading detection process using image recognition. …”
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Granulomatous lymphocytic interstitial lung disease in common variable immune deficiency: an in-depth clinical, immunological, functional and radiological exploration with a focus... by Mattia Moratti, Mattia Moratti, Gioacchino Schifino, Francesco Baccelli, Francesco Baccelli, Simona Ferrari, Elisabetta Magrini, Mirna Bassi, Aldo Guerrieri, Maurizio Zompatori, Marcello Lanari, Marcello Lanari, Francesca Conti, Francesca Conti

“…BackgroundCommon variable immune deficiency (CVID) is the most prevalent inborn error of immunity (IEI), marked by diverse clinical-immunological phenotypes and significant immune-dysregulation, including granulomatous lymphocytic interstitial lung disease (GLILD). …”
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Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia by Jan Rudolph, Johannes Rueckel, Jörg Döpfert, Wen Xin Ling, Jens Opalka, Christian Brem, Nina Hesse, Maria Ingenerf, Vanessa Koliogiannis, Olga Solyanik, Boj F. Hoppe, Hanna Zimmermann, Wilhelm Flatz, Robert Forbrig, Maximilian Patzig, Boris‐Stephan Rauchmann, Robert Perneczky, Oliver Peters, Josef Priller, Anja Schneider, Klaus Fliessbach, Andreas Hermann, Jens Wiltfang, Frank Jessen, Emrah Düzel, Katharina Buerger, Stefan Teipel, Christoph Laske, Matthis Synofzik, Annika Spottke, Michael Ewers, Peter Dechent, John‐Dylan Haynes, Johannes Levin, Thomas Liebig, Jens Ricke, Michael Ingrisch, Sophia Stoecklein

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Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal by Pragati Tripathi, M. A. Ansari, Tapan Kumar Gandhi, Rajat Mehrotra, Md Belal Bin Heyat, Faijan Akhtar, Chiagoziem C. Ukwuoma, Abdullah Y. Muaad, Yasser M. Kadah, Mugahed A. Al-Antari, Jian Ping Li

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Deep Active Learning–Based Classification of Solar Radio Spectrogram Data by Yan Liu, HongQiang Song, FaBao Yan, YanRui Su

“…To solve the shortcomings of time-consuming and error-prone manual recognition, researchers have begun to use deep learning to recognize and automatically classify solar radio outbursts. …”
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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions by Eva Dorschky, Marlies Nitschke, Matthias Mayer, Ive Weygers, Heiko Gassner, Heiko Gassner, Thomas Seel, Bjoern M. Eskofier, Bjoern M. Eskofier, Anne D. Koelewijn, Anne D. Koelewijn

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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…Therefore, further researches may be carried out to investigate the effective parameters for predicting bed load in different hydraulic conditions using intelligent methods. …”
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Investigation of the «Structure – analgesic activity» Relationship Using Molecular Docking for Cyclooxygenases 1 and 2 in the Series 5-<i>N</i>-arylaminocarbonyl-6-(get)aryl-4-meth... by N. A. Buzmakova, K. V. Аndryukov, T. M. Zamaraeva, I. P. Rudakova, K. V. Podchezertseva, A. S. Goman, E. V. Avdeeva, N. V. Slepova, N. V. Dozmorova

“…(R = 0,854, F = 9,01, S = 7,73, Q2LOO = 0,53) was found, with a high value of the correlation coefficient of the predicted values ААex. with experimental values (Rpred. = 0,878) and a minimum forecast error (Spred. = 6,74).Conclusion. The "structure-activity" models for predicting analgesic activity in a series of 5-N-arylaminocarbonyl-6-(get)aryl-4-methyl-1,2,3,6-tetrahydropyrimidine-2-thions are obtained. …”
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DENSE-SIM: A modular pipeline for the evaluation of cine displacement encoding with stimulated echoes images with sub-voxel ground-truth strain by Hugo Barbaroux, Michael Loecher, Yannick Brackenier, Karl P. Kunze, Radhouene Neji, Dudley J. Pennell, Daniel B. Ennis, Sonia Nielles-Vallespin, Andrew D. Scott, Alistair A. Young

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Development and evaluation of predictive models for pregnancy risk in UK dairy cows by Matthew Barden, Robert Hyde, Martin Green, Andrew Bradley, Edna Can, Rachel Clifton, Katharine Lewis, Al Manning, Luke O'Grady

“…Model discrimination was assessed by calculating the area under receiver operating characteristic curves (AUC); model calibration was assessed by plotting calibration curves and compared across test herds by calculating the expected calibration error (ECE) in each test herd. The models were unable to discriminate between insemination outcomes with high accuracy, with an AUC of 0.63, 0.59, and 0.62 in the nulliparous, primiparous, and multiparous subsets, respectively. …”
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Presenting the conceptual model of organizational democracy with an emphasis on the development of employees' psychological capital by Sattar jahantabi neghad, Foad Makvandi, ezat allah Kiani, ghanbar Amirnegad, Vahid Chenari

“…Because significance is checked at the error level of 0.05, so if the amount of factor loadings observed with the t-value test is calculated to be smaller than 1.96, the relationship is not significant and the question should be removed from the research. …”
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Mapping the bathymetry of coral islands with the Landsat series: Quantitative evaluation of the consistency and temporal change detection by Yongming Liu, Shilin Tang, Yuye Huang, Qidong Chen, Longhai Xiong, Sufen Wang

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