Efficacy of the internet-based intervention “Cultivating our resilience” (CORE) for improving resilience and coping strategies in university students: A randomized controlled trial... by Rocio Herrero, Marvin Franke, Dennis Görlich, Azucena Garcia-Palacios, Rosa Baños, Corinna Jacobi, Thomas Berger, Michael P. Schaub, Tobias Krieger, David D. Ebert, Cristina Botella

“…A total of 493 students with low levels of resilience participated in the study.Participants in the intervention group gained access to an internet-based program aiming to enhance resilience by learning to cope with stressors in daily life, promote self-empowerment, and improve well-being. …”
Get full text

A comprehensive environmental index for monitoring ecological quality of typical alpine wetlands in Central Asia by Jiudan Zhang, Junli Li, Changming Zhu, Anming Bao, Amaury Frankl, Philippe De Maeyer, Tim Van de Voorde

“…This study employed a deep-learning semantic segmentation model to map the structural changes of the Bayanbulak alpine wetland using Landsat imagery from 1977 to 2022. …”
Get full text

KEMAMPUAN LITERASI SAINS SISWA SMA DI KOTA KENDARI: DESKRIPSI & ANALYSIS by Erniwati Erniwati, Istijarah istijarah, La Tahang, Hunaidah Hunaidah, Vivi Hastuti Rufa Mongkito, Suritno Fayanto

“…Keywords—Science literacy, Physics learning …”
Get full text

Penerapan Model Technology Readiness Index untuk Mengukur Tingkat Kesiapan Mahasiswa dalam Penerimaan Sistem E-Polvot by M Khairul Anam, Fransiskus Zoromi, Soni, Torkis Nasution, Khusaeri Andesa

“…The election process offers three types of lecture schedules: regular daytime from 08:00 to 17:00, evening lectures from 17:45 to 09:30, and non-regular lectures held during weekends for distance or online learning. Consequently, regular evening and non-regular students often abstain from voting or participating in the election due to the daytime scheduling. …”
Get full text

Establishing a radiomics model using contrast-enhanced ultrasound for preoperative prediction of neoplastic gallbladder polyps exceeding 10 mm by Dong Jiang, Yi Qian, Yijun Gu, Ru Wang, Hua Yu, Zhenmeng Wang, Hui Dong, Dongyu Chen, Yan Chen, Haozheng Jiang, Yiran Li

“…This model, derived from machine learning frameworks including Support Vector Machine (SVM), Logistic Regression (LR), Multilayer Perceptron (MLP), k-Nearest Neighbors (KNN), and eXtreme Gradient Boosting (XGBoost) with fivefold cross-validation, showed AUCs of 0.95 (95% CI: 0.90–0.99) and 0.87 (95% CI: 0.72–1.0) in internal validation. …”
Get full text

Relato de uma extensão em tempos de isolamento social: Criação de um recurso educacional sobre matemática na pandemia de COVID-19 by Leila Thomazelli Thieghi, Fabio Luiz Sant'Anna Cuppo

“…Throughout the text, several of the topics addressed by the project are presented, as well as its societal impact, its contribution to the learning of undergraduate students involved in the extension program, and the project's outcomes, such as invitations for lectures and interviews, culminating in the proposal of a highly useful educational resource for high school and university students and teachers. …”
Get full text

Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Additionally, researchers can investigate the application of other optimization techniques, such as machine learning algorithms, to portfolio optimization.…”
Get full text

A Program for Master of Science in Environment and Natural Resources (MENR) by Kabale University

Get full text

Amplifying children’s leadership roles and voice in decision-making through co-production in outside of school hours care: qualitative findings from the connect promote and protect... by Alyssa C. Milton, Alyssa C. Milton, Alyssa C. Milton, Kristin Ballesteros, Helen Hernandez, Yenni Hwang, Nick Glozier, Nick Glozier, Tom McClean, Haley M. LaMonica, Haley M. LaMonica, Karen Thorpe, Karen Thorpe, Ian B. Hickie, Ian B. Hickie

Get full text

Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types by Jeanne Shen, Sergio Pereira, Chan-Young Ock, Yung-Jue Bang, Seulki Kim, Sehhoon Park, Se-Hoon Lee, George A Fisher, Young Kwang Chae, Yoon-La Choi, Jin-Haeng Chung, Tony S K Mok, Leeseul Kim, Jun-Eul Hwang, Gahee Park, Sanghoon Song, Seunghwan Shin, Yoojoo Lim, Wonkyung Jung, Heon Song, Hyojin Kim, Taebum Lee, Sukjun Kim, Chang Ho Ahn, Seokhwi Kim, Ben W Dulken, Stephanie Bogdan, Maggie Huang, Chiyoon Oum, Siraj M. Ali

“…Here, we investigate artificial intelligence (AI)-based immune phenotypes capable of predicting ICI clinical outcomes in multiple solid tumor types.Methods Lunit SCOPE IO is a deep learning model which determines the immune phenotype of the tumor microenvironment based on TIL analysis. …”
Get full text

Protocol of the TransformUs SecondaryTeachers’ perceptions of the program reach, effectiveness,adoption, implementation and maintenance schools program: a type II hybrid implementa... by Harriet Koorts, Anna Timperio, Jo Salmon, David Revalds Lubans, Gavin Abbott, Nicola D Ridgers, Natalie Lander, Ana María Contardo Ayala, Emiliano Mazzoli

Get full text

Artificial Intelligence in Science and Society: The Vision of USERN by Tommaso Dorigo, Gary D. Brown, Carlo Casonato, Artemi Cerda, Joseph Ciarrochi, Mauro da Lio, Nicole D'Souza, Nicolas R. Gauger, Steven C. Hayes, Stefan G. Hofmann, Robert Johansson, Marcus Liwicki, Fabien Lotte, Juan J. Nieto, Giulia Olivato, Peter Parnes, George Perry, Alice Plebe, Idupulapati M. Rao, Nima Rezaei, Fredrik Sandin, Andrey Ustyuzhanin, Giorgio Vallortigara, Pietro Vischia, Niloufar Yazdanpanah

Get full text

Experience on postmortem minimally invasive tissue sampling to ascertain the cause of death determination in South African children: A case for implementing as standard of care by J du Toit, K Storath, I Dunn, P Makekeng, M Moosa, K Mothibi, N Umuneza, C A Rees, D Blau, S Lala, Y Adam, S Velaphi, M Hale, P Swart, J Wadula, L Mothibi, A Wise, V Baba, P Jaglal, S Mahtab, S Madhi, Z Dangor

Get full text

Integrated Framework and Technical Path for Multi-level Nested Assessment of Landscape Character by Yuncai WANG, Qizhen DONG

“…By combining multi-scale segmentation and spatial clustering techniques of deep learning, a technical path for multi-level nested landscape character assessment is constructed as a new idea for characterizing the local characteristics of landscape at multiple scales.ConclusionIn the process of developing landscape character assessment systems, there have been numerous methodological systems. …”
Get full text

Effectiveness of a universal film intervention in reducing violence against children and increasing positive parenting among migrant and displaced caregivers from Myanmar: a commun... by Amanda Sim, Khaing Zar Lwin, Stephanie Eagling-Peche, G.J. Melendez-Torres, Seema Vyas, Francisco Calderon, Tawanchai Jirapramukpitak, Jamie Lachman, Sureeporn Punpuing, Andrea Gonzalez, Mary Soan, Nway Nway Oo, Ivet Castello Mitjans, Greg Tyrosvoutis, Eve Puffer

“…Small effects were observed for the secondary and exploratory outcomes of parenting knowledge, belief in the need for harsh punishment, engagement in early learning, family functioning, and social support. Subgroup analyses suggest that the intervention may be more effective at reducing physical violence among female caregivers and caregivers of female children and younger children. …”
Get full text

Gaps in U.S. livestock data are a barrier to effective environmental and disease management by Rebecca Logsdon Muenich, Sanskriti Aryal, Amanda J Ashworth, Michelle L Bell, Melanie R Boudreau, Stephanie A Cunningham, K Colton Flynn, Kerry A Hamilton, Ting Liu, Michael L Mashtare, Natalie G Nelson, Barira Rashid, Arghajeet Saha, Danica Schaffer-Smith, Callie Showalter, Aureliane Tchamdja, Jada Thompson

“…We then feature some recent work to improve livestock data availability through remote-sensing and machine learning, ending with our takeaways to address these data needs for the future of environmental and public health management.…”
Get full text

Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations by David C. Mohr, David C. Mohr, Alexandra L. Silverman, Alexandra L. Silverman, Soo Jeong Youn, Soo Jeong Youn, Soo Jeong Youn, Patricia Areán, Andrew Bertagnolli, Jenna Carl, Tarolyn Carlton, Neha Chaudhary, David Cooper, Shelly DeVito, Stephanie Eaneff, Megan Flom, Valerie L. Forman-Hoffman, Leanna Fortunato, Karen Franchino, Andrea K. Graham, Heidi Greenberger, Jessica Hauflaire, Benjamin Kaveladze, Rachel Kornfield, Kaylee P. Kruzan, Eric Kuhn, Eric Kuhn, Carolyn MacIver, Frederick Muench, Regina Misch, Adrian Ortega, Lisa Palko, Derek Richards, Derek Richards, Louisa Salhi, Jonathan Schremp, Eva Szigethy, Eva Szigethy, Nathan Tatro, Bethany A. Teachman, Bethany A. Teachman, Trina Histon

“…This slows progress, as experiences and learnings are siloed within each organization, hindering or preventing learning across implementations and slowing the progress. …”
Get full text

A China dataset of soil properties for land surface modelling (version 2, CSDLv2) by G. Shi, W. Sun, W. Shangguan, Z. Wei, H. Yuan, L. Li, X. Sun, Y. Zhang, H. Liang, D. Li, F. Huang, Q. Li, Q. Li, Y. Dai

“…Using advanced ensemble machine learning and a high-performance parallel-computing strategy, we developed comprehensive maps of 23 soil physical and chemical properties at six standard depth layers from 0 to 2 m in China at a 90 m spatial resolution (China dataset of soil properties for land surface modelling version 2, CSDLv2). …”
Get full text