Low-cost, synthetic model for training and simulation of open and semi-open rhinoplasty by Arthur Antunes Coimbra Pinheiro Pacífico, Bárbara Matos de Carvalho Borges, Anna Letícia Silveira Parnaíba, Marco Antônio de Lucena Furtado, Samy Lima Carneiro, Mateus Pinheiro Fernandes Feitosa Arrais, Davi Sousa Garcia

“…The exposed model can positively impact the learning process of rhinoplasty, revealing itself as an accessible and helpful tool for training in various stages of the technique of this complex surgery.…”
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European qualifications framework as support structure of national education systems integration by I. M. Alyeksyeyeva

“…The study proved that the European Framework of Educational Qualifications is an international instrument for integrating national education systems and the National Qualifications Framework of Ukraine, in general, corresponds to the principled position and reference points of the European Qualifications Framework for lifelong learning. …”
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Enhancing Cognitive Function through Physical Education: The Impact of Physical Education Activity on Attention and Focus by Matteo Giuriato, Nicola Lovecchio

“…The aim is to evaluate whether increasing physical education hours, with an emphasis on cognitive tasks and team-based activities, could positively influence students' executive functions. …”
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Optimizing Testimonials for Behavior Change in a Digital Intervention for Binge Eating: Human-Centered Design Study by Isabel R Rooper, Adrian Ortega, Thomas A Massion, Tanvi Lakhtakia, Macarena Kruger, Leah M Parsons, Lindsay D Lipman, Chidiebere Azubuike, Emily Tack, Katrina T Obleada, Andrea K Graham

“…MethodsWe applied human-centered design methods to learn users’ preferences for testimonial speakers, messaging, and delivery (modalities, over time, and as “nudges” for selecting positive behavior change strategies they could practice). …”
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Combining Generative Adversarial Networks (GANs) With Gaussian Noise for Anomaly Detection in Internet of Things (IoT) Traffic by Roya Morshedi, S. Mojtaba Matinkhah

“…The results indicate that this model offers superior performance in learning attack patterns, enhancing detection accuracy, and reducing false positives. …”
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Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks by Yu Qian, Wang Sizhe, Tao Yixin

“…Overall, this research highlights the power of graph-based deep learning approaches for anti-money laundering (AML) applications, demonstrating how structural and relational dependencies within financial networks can be leveraged to enhance detection accuracy.…”
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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…The experiments reveal the model’s scalability, maintaining high fidelity even under augmented dataset sizes and missing data scenarios. These findings position the proposed framework as a computationally efficient and structurally simple alternative to Generative Adversarial Network (GAN)-based methods, suitable for real-world applications in data-driven financial modelling.…”
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Pharmacists’ Perceptions of 3D Printing and Bioprinting as Part of Personalized Pharmacy: A Cross-Sectional Pilot Study in Bulgaria by Anna Mihaylova, Antoniya Yaneva, Dobromira Shopova, Petya Kasnakova, Stanislava Harizanova, Nikoleta Parahuleva, Rumyana Etova, Ekaterina Raykova, Mariya Semerdzhieva, Desislava Bakova

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Complex lupus management: when multiple organs demand precision by Hirushi S. Jayasekera, Ayman Askari, Sourabh Chand

“…Hydroxychloroquine and corticosteroids formed the cornerstone of treatment, while other options were systematically excluded based on contraindications.7,8 Multidisciplinary collaboration was pivotal in tailoring therapy.9,10 Conclusion: There are two key learning points highlighted in this case. …”
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Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…., the PIERS Machine Learning [PIERS-ML] model, and the logistic regression-based fullPIERS model) accurately identify individuals at greatest or least risk of adverse maternal outcomes within 48 h following admission. …”
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Inflammation mediated brain damage and cytokine expression in a maternally derived murine model for preterm hypoxic-ischemic encephalopathy by Tyler C. Hillman, Tyler C. Hillman, Braeden Jacobson, Kiara Piaggio Hurtado De Medoza, Marlene Lopez, Nicholas Iwakoshi, Christopher G. Wilson, Christopher G. Wilson, Christopher G. Wilson

“…To quantify the development of inflammation in the pHIE model, we used immunohistochemistry to stain for Caspase-9 in the cortex (20 μm per slice) and then counted Caspase-9 positive cells using unbiased stereology. We stained brain tissue with MAP2 to quantify neuronal intermediate filament expression and staining using a machine-learning based image analysis approach. …”
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Knowledge, Attitudes, and Behaviors Related to Dementia Prevention and Caregiving Among Korean Americans (the KIMCHI Project): Pre- and Posttest Evaluation Study by Van Ta Park, Bora Nam, Daren Huang, Stacy W Yun, Nicole Phan, Eun Jeong Lee, Hye-Won Shin

“…ObjectiveWe aimed to assess changes in pre- and posttest knowledge, attitudes, and behaviors regarding ADRD prevention and caregiving among participants in the Koreans Invested in Making Caregivers’ Health Important (KIMCHI) before and after their participation in KIMCHI workshop presentations. MethodsA community engagement dissemination project, KIMCHI, was developed by academic and community partners to culturally and linguistically tailor selected evidence-based research from the Patient-Centered Outcomes Research Institute for Korean American older adults, caregivers, and other stakeholders. …”
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Factors influencing self-efficacy of healthcare professionals towards end-of-life care in acute care settings in Palestine: a cross-sectional study by Mohammed F. Hayek, Baraa F. Shayeb, Jamila Jalal Yaseen, Issa Hashim Othman, Abdulrahman Afif Taha, Amal Bilal Mustafa Naddaf, Mohammed Mays Njedat, Ruba Sayed Saleh, Nizar B. Said, Ahmad Ayed, Loai M. Zabin, Eman Alshawish, Jamal Qaddumi, Imad Thultheen

“…Targeted training programs focusing on communication, symptom management, and interdisciplinary teamwork are essential to fill identified gaps. Simulation-based learning and mentorship can help nurses gain the necessary skills. …”
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Passive compliance or active innovation: The diffusion of public sport policies in China. by Zhiliang Li, Jian Liu, Hailin Lu, Jingjing Zhou

“…We aim to encourage provincial governments to innovate policy texts based on local development needs, geographic position, and resource capabilities, This will enhance the diffusion of public sports policies and contribute to national and global sports governance. …”
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An integrated, multidisciplinary management team intervention to improve patient-centeredness, HIV, and maternal-child outcomes in Lesotho: formative research on participatory impl... by Laura K. Beres, Mammatli Chabela, Matseliso Masitha, Zachary Catanzarite, Vincent J. Tukei, Lynne Mofenson, Appolinaire Tiam, Lauren Greenberg, Majoalane Mokone, Ramatlapeng Thabelo, Masepeli Nchephe, Tsietso Mots’oane, Laura Guay, Amy R. Knowlton

“…Facility-specific improvement strategies included fee, staffing, and patient documentation-based changes. Piloting Positive Health, Dignity, and Prevention-focused counseling approaches resulted in tailored job aids pre-implementation. …”
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Leveraging tree-transformer VAE with fragment tokenization for high-performance large chemical model generation by Tensei Inukai, Aoi Yamato, Manato Akiyama, Yasubumi Sakakibara

“…Molecules are decomposed into fragments and organized into tree structures, allowing for efficient handling of large and complex compounds. Tree positional encoding assigns unique positional information to each fragment, preserving hierarchical relationships. …”
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Enhancing communication skills in diabetes care: an observational study regarding the impact of role-playing training for medical staff by Miyako Kishimoto, Yuri Kaneko, Akiko Wakui-Kimura, Yuko Tachibana, Fumihiko Sato, Takako Kikuchi, Yumi Matsushita, Mika Hashiguchi, Yuka Imai, Erika Sakanaya, Ikuko Senga, Eri Kaido, Hiromi Naito, Aya Yatsuzuka, Akikazu Hashimoto, Keisuke Ueno, Kenjiro Imai, Takehiro Sugiyama, Ken Ohashi, Hiroji Kitazato

“…We evaluated role-playing seminars as a method to improve communication skills among medical staff. …”
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Neural correlates of the non-optimal price: an MEG/EEG study by Aleksei Gorin, Elizaveta Kuznetsova, Andrew Kislov, Egor Levchenko, Vasily Klucharev, Victoria Moiseeva, Anna Yurchenko, Alexander Luzhin, Natalia Galkina, Anna N. Shestakova

“…IntroductionSetting the right price is crucial for effectively positioning products in the market. Conversely, setting a “non-optimal price”—one that is perceived as much lower or higher than the product's true market value—can negatively influence consumer decisions and business results.MethodsWe conducted two electroencephalography (EEG) studies and one magnetoencephalography (MEG) study to investigate brain mechanisms underlying the perception of prices during a price judgment task. …”
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Information and communication technologies as a basis for the development of the information society: Russia in the system of international statistical indicators by Svetlana G. Bychkova, Lidiya S. Parshintseva

“…In this regard, the actual issue is the formation of an adequate information base for studying information and communication technologies not only as an independent object, but also as the most important factor in the formation of the functioning of the digital economy and the formation of the information society.Materials and methods. …”
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Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related Genes by Hongfan Zhao, Zihao Chen, Yunze Fang, Mingqiang Su, Yipeng Xu, Zhifeng Wang, Michael Adu Gyamfi, Junfeng Zhao

“…This study provides a machine learning model for predicting the survival and recurrence of BLCA patients.…”
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