Identifying the Components of Preschool Curriculum Model based on Bronfenbrenner\'s Ecological Systems Theory by Mohammad Panahandehpour, Ahmad Hashemi, Mokhtar Ranjbar, Abbas Goltash

“…The researchers investigated articles, books, and research papers conducted both domestically and internationally on reputable and authenticated online database networks, spanning from 2000 to 2023. Descriptive and inferential statistical analyses were conducted using SPSS statistical software in the quantitative phase. …”
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What Online User Innovation Communities Can Teach Us about Capturing the Experiences of Patients Living with Chronic Health Conditions. A Scoping Review. by Julia Amann, Claudia Zanini, Sara Rubinelli

“…<h4>Methods</h4>A scoping review was conducted. A total of seven databases were searched for scientific articles published in English between 1995 and 2014. …”
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Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models by Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao

“…Convolutional neural networks (CNN) were the most frequently used models (four studies), followed by support vector machines (three studies). …”
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Non-formal education in university museums linked to Geosciences in Paraná. e2421428 by Camila Priotto Mendes, Antonio Liccardo, Carla Silvia Pimentel

“…In 328 museums and similar spaces located in Paraná, seven of them are linked to universities and correspond to this thematic section of research. …”
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Evaluation of the practical application of the category-imbalanced myeloid cell classification model. by Zhigang Hu, Aoru Ge, Xinzheng Wang, Cuisi Ou, Shen Wang, Junwen Wang

“…To address this issue, this study analyzed five different Loss functions and seven different attention mechanisms. When the classification models is chosen, Swin Transformer V2 was found to perform the best. …”
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Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review by Adam M. Morley, Tamsin A. Mather, David M. Pyle, J-Michael Kendall

“…To close, we take a brief look at future research opportunities with very high resolution (VHR) datasets, multi-branch convolutional neural networks (CNNs) and active remote sensing in variable potential fields.…”
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LoRa Resource Allocation Algorithm for Higher Data Rates by Hossein Keshmiri, Gazi M. E. Rahman, Khan A. Wahid

“…Experimental results show that our proposed algorithm reduces <i>T_tx</i> by 42.36% and 19.98% for SF combinations of seven and eight, and eight and nine, respectively. …”
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Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis by Xiao-Lei Li, Aibibanmu Aizezi, Yan-Peng Li, Yan-Hong Li, Fen Liu, Qian Zhao, Xiang Ma, Dilare Adi, Yi-Tong Ma

“…The machine learning models based on the seven metabolites all had good accuracy in distinguishing DCM [All area under the curve (AUC) > 0.900], and the artificial neural network (ANN) model performed the most consistently (AUC: 0.919 ± 0.075). …”
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Navigating healthcare pathways: Cascade of prevention and care for chronic viral hepatitis in asylum seekers and refugees. A multicenter analysis in Northern Italy by Beatrice Formenti, Roberto Benoni, Jacopo Testa, Giulia Bertoli, Giacomo Stroffolini, Maria Grazia Pizzi, Barbara Menzaghi, Niccolò Ronzoni, Paola Magro, Issa El Hamad, Carla Scolari, Angiola Spinetti, Serena Zaltron, Francesco Castelli, Valentina Marchese, Alberto Matteelli

“…Key recommendations include enhancing linkage to care, improving followup strategies, and establishing a robust national and European network to ensure continuity of care and to integrate public health efforts across the entire care pathway and deliver fair and equitable healthcare..…”
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Knowledge and attitudes towards cervical cancer and screening among migrant women: a qualitative study in Portugal by Inês Fronteira, Patrícia Marques, Sónia Dias, Ana Gama, Joana Silva

“…Additionally, participants agreed that peers and social networks may play a role in promoting screening among communities.Conclusions Healthcare professionals and community actors are paramount to promote CCS among migrant women, especially through culturally adapted awareness interventions and health-promoting activities engaging local communities and social networks of women. …”
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Harvesting living labs outcomes through learning pathways by Astha Bhatta, Heleen Vreugdenhil, Jill Slinger

“…An ex-post analysis of an empirical case study on a climate adaptation project, KLIMAP, resulted in seven distinct learning pathways: 1) harnessing collective integrated knowledge, 2) building collaborative networks, 3) enhancing stakeholder capacity, 4) adapting and contextualizing knowledge, 5) diffusing knowledge, 6) facilitating co-creation, and 7) reflecting on learning. …”
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Integrative bioinformatics approach identifies novel drug targets for hyperaldosteronism, with a focus on SHMT1 as a promising therapeutic candidate by Minyue Jia, Liya Lin, Hanxiao Yu, Zhichao Dong, Xin Pan, Xiaoxiao Song

“…Through systematic screening and prioritization, we identified 163 PA-associated genes, of which seven emerged as potential drug targets: CEP104, HIP1, TONSL, ZNF100, SHMT1, and two long non-coding RNAs (AC006369.2 and MRPL23-AS1). …”
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Complex links between the energy trilemma dimensions in top 25 energy trilemma performers: The role of the UN plan of action for 2030 by Masoud Shirazi

“…In this respect, the United Nations plan of action for 2030 especially goal seven, i.e., affordable and clean energy, associates with this purpose. …”
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Solar Energetic Particle Events Detected in the Housekeeping Data of the European Space Agency's Spacecraft Flotilla in the Solar System by Beatriz Sánchez‐Cano, Olivier Witasse, Elise W. Knutsen, Dikshita Meggi, Shayla Viet, Mark Lester, Robert F. Wimmer‐Schweingruber, Marco Pinto, Richard Moissl, Johannes Benkhoff, Hermann Opgenoorth, Uli Auster, Jos deBrujine, Peter Collins, Guido DeMarchi, David Fischer, Yoshifumi Futaana, James Godfrey, Daniel Heyner, Mats Holmstrom, Andrew Johnstone, Simon Joyce, Daniel Lakey, Santa Martinez, David Milligan, Elsa Montagnon, Daniel Müller, Stefano A. Livi, Timo Prusti, Jim Raines, Ingo Richter, Daniel Schmid, Peter Schmitz, Håkan Svedhem, Matt G. G. T. Taylor, Elena Tremolizzo, Dimitri Titov, Colin Wilson, Simon Wood, Joe Zender

“…Therefore, we demonstrate the potential of the various EDAC to provide a network of solar particle detections at locations where no scientific observations of this kind are available.…”
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Meta-synthesis of drivers of the circular business model by Atieh Khodaei, Mahdi Hosseinpour, Mohammad javad Jamshidi, Yoosof Mohamadifar

“…Circular business models are networked in nature and therefore require different actors in the value network to work together towards common goals. …”
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The impact of task-sharing scalable mental health interventions on non-specialist providers: a scoping review by Manaswi Sangraula, Josheka Chauhan, Chynere Best, Caroline McEneaney, Cheenar Shah, Adam D. Brown, Brandon A. Kohrt

“…Fifteen studies, conducted across eight countries, met the inclusion criteria. Seven studies were conducted in Sub-Saharan Africa, six in South and Southeast Asia and two studies were conducted in high-income countries in Europe. …”
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A comparative performance analysis of machine learning models for compressive strength prediction in fly ash-based geopolymers concrete using reference data by Muhammad Kashif Anwar, Muhammad Ahmed Qurashi, Xingyi Zhu, Syyed Adnan Raheel Shah, Muhammad Usman Siddiq

“…This study conducts a comparative performance analysis of the machine learning models for compressive strength prediction of FAGP using comprehensive dataset of 563 samples from 55 literature studies. Seven models such as multiple linear regression (MLR), artificial neural networks (ANNs), support vector machines (SVMs), K-nearest neighbor (KNNs), decision trees (DT), and ensemble methods combining DT with boosting and bootstrapping were employed. …”
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Application of three-dimensional printing in the planning and execution of aortic aneurysm repair by Harshank Patel, Paul Choi, Jennifer C. Ku, Rosemary Vergara, Rafael Malgor, Dhiren Patel, Yong Li

“…This review examines the application of 3D printing and AI in complex aortic aneurysm repair, highlighting current clinical trends.MethodsAn exhaustive literature review was performed using keywords such as “3D printing,” “Artificial intelligence,” “Thoracoabdominal aneurysm,” “Abdominal aortic aneurysm,” “Aortic arch aneurysm,” “Endovascular repair,” and “Open repair” in PubMed and Google Scholar indexes up to June 2022.ResultsThis analysis included seven studies: four focused on 3D-printed phantoms for endovascular repair of various aortic pathologies (aortic arch, thoracoabdominal aorta, juxtarenal and pararenal aorta), one on open thoracoabdominal aneurysm repair using 3D-printed models for graft construction, and two on the use of convolutional neural networks, an AI-based technology, for the pre-processing of aortic computed tomography angiography images.ConclusionThe application of 3D printing and AI-based image pre-processing in the planning of complex aortic aneurysms offers several benefits, including enhanced patient and trainee education, more accurate fenestration placement, reduced surgical time and complications, and decreased surgeon stress.…”
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Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments by Muhayy Ud Din, Ahsan Baidar Bakht, Waseem Akram, Yihao Dong, Lakmal Seneviratne, Irfan Hussain

“…We benchmarked the performance of seven distinct trackers, developed using advanced deep learning techniques such as Siamese Networks and Transformers, by evaluating them on both simulated and real-world maritime datasets. …”
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Comprehensive analysis of the succinylome in Vero cells infected with peste des petits ruminants virus Nigeria 75/1 vaccine strain by Xuelian Meng, Xueliang Zhu, Xiangwei Wang, Rui Zhang, Zhidong Zhang, Yuefeng Sun

“…Protein-protein interaction networks of the identified proteins provided further evidence that various ATP synthase subunits and carbon metabolism were modulated by succinylation, while the overlapped proteins between succinylation and acetylation are involved in glyoxylate and dicarboxylate metabolism. …”
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