Characterization and Spatial Distribution of Sand Group Architecture and Channel Types in Tight Gas Reservoirs: A Case Study From the Jurassic Shaximiao Formation of the Jinqiu Gas... by Guian Guo, Deyu Zhu, Xiaojuan Wang, Mingqiu Li, Xu Guan, Xiaoju Zhang, Changjiang Wu, Shaomin Zhang, Li Hu, Juan Zhao, Nan Li, Huiqiang Wang, Bohan Duan

“…The research results achieve a theoretical breakthrough in the characterization of the sand-body structure of tight sandstone reservoirs in narrow river channels and assist in the efficient exploration and development of tight sandstone gas.…”
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State of the art of glaucoma diagnosis: neural networks and artificial intelligence by A.V. Kuroyedov, G.A. Ostapenko, K.V. Mitroshina, A.B. Movsisyan

“…Automated data extraction allows AI network to learn difficult functions of direct achievement of final results independently of subjective clinician’s opinion. …”
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Application of online and offline blended teaching model combined with curriculum ideological and political education: Taking the course of clinical anesthesiology for example (线上线... by LI Jing (李静), FAN Xiaoying (范晓英), ZHANG Wanping (张万平), SU Yuqiang (苏玉强)

“…In this regard, after a comprehensive analysis of the current situation of clinical anesthesiology teaching, the group characteristics of contemporary college students and the characteristics of online-offline mixed teaching, the author explores the application of online-offline mixed teaching into curriculum ideology and politics in the course of clinical anesthesiology, aiming at improving the teaching effect and achieving the goal of cultivating virtues and cultivating people. …”
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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…The proposed model demonstrated exceptional overall accuracy, precision, sensitivity, F1 score, and specificity, achieving 99.74%, 99.74%, 99.74%, 99.74%, and 99.94%, respectively. …”
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Virtual Reality Simulation for Undergraduate Nursing Students for Care of Patients With Infectious Diseases: Mixed Methods Study by Wen Chang, Chun-Chih Lin, Julia Crilly, Hui-Ling Lee, Li-Chin Chen, Chin-Yen Han

“…However, compared with the control group, the VRS group achieved significantly higher theoretical knowledge scores (t98.13=2.70; P=.008) and greater learning attention (t105=2.30; P=.02) at T1. …”
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Pengaruh Metode Pembelajaran Problem Based Learning yang Diperkaya dengan ARCS Motivational Model terhadap Kualitas Manajemen Kelas dan Motivasi Belajar Siswa secara Online pada Ma... by Allisa Majid, Admaja Dwi Herlambang, Faizatul Amalia

“…The selection of methods and providing motivation for teaching and learning activities during the emergency transition or online learning needs to be considered by teachers in order to achieve learning objectives. This study applies the Problem Based Learning method combined with the ARCS Motivational Model to determine the quality of classroom management and learning motivation in Basic Programming subjects at SMK National Media Center Malang. …”
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Vectorized Treg-depleting αCTLA-4 elicits antigen cross-presentation and CD8+ T cell immunity to reject ‘cold’ tumors by Laetitia Fend, Eric Quemeneur, Monika Semmrich, Jean-Baptiste Marchand, Matilda Rehn, Nathalie Silvestre, Linda Mårtensson, Johann Foloppe, Ingrid Teige, Björn Frendeus, Petra Holmkvist, Carolin Svensson, Christelle Remy, Patricia Kleinpeter, Jules Deforges, Fred Junghus, Kirstie L Cleary, Mimoza Bodén

“…Intratumoral administration of VVGM-αCTLA-4 achieved tumor-restricted CTLA-4 receptor saturation and Treg depletion, which elicited antigen cross-presentation and stronger systemic expansion of tumor-specific CD8+ T cells and antitumor immunity compared with systemic αCTLA-4 antibody therapy. …”
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Local and distant response to intratumoral immunotherapy assessed by immunoPET in mice by Aurélien Marabelle, Louis Meyblum, Lambros Tselikas, Thierry de Baere, Sandrine Susini, Fréderic Deschamps, Baptiste Bonnet, Céline Chevaleyre, Benoit Jego, Dimitri Kereselidze, Vincent Lebon, Charles Truillet

“…Seven days post-injection, the contralateral non-injected tumor uptake of the ICB was comparable to the one achieved through intravenous administration (7.5±1.7% ID.cm–3 and 7.6±2.1% ID.cm–3, respectively) at the same dose in the CT26 model. …”
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Automated Quantification of Retinopathy of Prematurity Stage via Ultrawidefield OCT by Spencer S. Burt, BA, Aaron S. Coyner, PhD, Elizabeth V. Roti, BS, Yakub Bayhaqi, PhD, John Jackson, MD, Mani K. Woodward, MS, Shuibin Ni, PhD, Susan R. Ostmo, MS, Guangru Liang, BS, Yali Jia, PhD, David Huang, MD, Michael F. Chiang, MD, Benjamin K. Young, MD, Yifan Jian, PhD, John Peter Campbell, MD

“…Results: Comparing automated and manual segmentation of ANVTV achieved a DSC of 0.61 ± 0.13. Using the U-Net, ANVTV was associated with higher disease stage both cross sectionally and longitudinally. …”
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Laguna de fracasos by Lagunaries

“…What can a virtual/digital encounter achieve?    ESP: Lagunaries surge como práctica común desde una virtualidad impuesta por el contexto de aislamiento por el Covid-19. …”
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Perinatal interventions to prevent Adverse Childhood Experiences (ACEs): A scoping review. by Jane Kinsey, Jaime La Charite, Shirley Russ, Adam Schickedanz

“…A two-tailed t test was used to ascertain the association between LCIR characteristics, and the outcomes achieved.<h4>Results</h4>Of 2148 articles identified, 57 were in scope for detailed analysis, yielding 53 unique interventions. …”
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MicroRNA-132, Delivered by Mesenchymal Stem Cell-Derived Exosomes, Promote Angiogenesis in Myocardial Infarction by Teng Ma, Yueqiu Chen, Yihuan Chen, Qingyou Meng, Jiacheng Sun, Lianbo Shao, Yunsheng Yu, Haoyue Huang, Yanqiu Hu, Ziying Yang, Junjie Yang, Zhenya Shen

“…Considering that microRNA-132 (miR-132) regulates endothelial cell behavior during angiogenesis and the safe and efficacious delivery of microRNAs in vivo is rarely achieved, an ideal vehicle for miR-132 delivery could bring the promise for ischemic diseases. …”
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Implementation of a Cost and Variation Reduction Program for Hemostasis Products at a Large Academic Medical Center: A Multi-Stakeholder Perspective by Shah T, Brethauer S, Danker III WA, Doshi I, O'Hara M, Silber A, Vasileff WK

“…The outcomes analyses revealed a nearly 25% decrease in supply expenditure without changes to the number of postoperative hemorrhage events following implementation.Practical Applications: Converting to a sole vendor for hemostasis products was achieved with high satisfaction among hospital stakeholders and cost savings to the institution without impacting the quality of patient care. …”
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Analisis Forensik Digital untuk Investigasi Kasus Cyberbullying pada Media Sosial Tiktok by Halimah Septya Mikayla, Ari Kusyanti, Primantara Hari Trisnawan

“…In summary, this study achieved a 68.8% match between the initial scenario data and the data retrieved through digital forensics, ultimately obtaining valuable digital evidence. …”
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Evaluation of an Interdisciplinary Educational Program to Foster Learning Health Systems: Education Evaluation by Sathana Dushyanthen, Nadia Izzati Zamri, Wendy Chapman, Daniel Capurro, Kayley Lyons

“…Participants also completed identical measures of self-efficacy before and after (n=200), with scales mapped to specific skills and tasks that should have been achievable following each of the topics covered. Further, they undertook voluntary weekly surveys to provide feedback on which aspects to continue and recommendations for improvements, via free-text responses. …”
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VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction by Omer Nacar, Mohamed Abdelkader, Lahouari Ghouti, Kahled Gabr, Abdulrahman Al-Batati, Anis Koubaa

“…Quantitatively, the proposed GRU-based prediction algorithm demonstrates superior performance, achieving a mean square error (MSE) ranging from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>8</mn></mrow></msup></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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Preliminary study on unlocking growth and yield potential of USDA foxtail millet (Setaria italica L.) lines with NPK fertilization by Hira Shahzadi, Shahbaz Khan, Abdulrahman Al-Hashimi, Shahzad M. A. Basra, Kashf Mehmood, Muhammad Ashfaq Wahid, Muhammad Nawaz, Sohail Irshad, Abdul Haseeb, Afroz Rais, Safia Gul, Danish Ibrar, Yheni Dwiningsih

“…Furthermore, all genotypes achieved a complete final emergence percentage of 100, except U2 (92.89%) and V19 (89.33%). …”
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Comparison of various feed additives on nutrient digestibility, digestive enzyme activity, blood metabolite levels, and gut microbiota composition in japanese quail chicks by Hassan Saleh, Omid Jangjou, Mohammad Taher Mirakzehi, Seyedeh Hamideh Hosseni

“…Background: The poultry industry is currently facing significant challenges in maintaining disease control and achieving optimal growth following the removal of growth-promoting antibiotics. …”
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Translation, content validity and internal structure of the Brazilian version of the Adolescent Resilience Questionnaire (B-ARQ). by Genara Brum Gomes, Luisa Gatti-Reis, Matheus França Perazzo, Marisa Alves Araújo, Flávio Freitas Mattos, Deirdre Gartland, Saul Martins Paiva, Isabela Almeida Pordeus

“…Resilience refers to one's ability to face life's challenges and achieve positive outcomes, and has drawn increasing interest from researchers and policymakers. …”
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DepITCM: an audio-visual method for detecting depression by Lishan Zhang, Lishan Zhang, Zhenhua Liu, Yumei Wan, Yunli Fan, Diancai Chen, Qingxiang Wang, Kaihong Zhang, Yunshao Zheng

“…The results show that, in the classification task, our method achieved an F1 score of 0.823 and a classification accuracy of 0.823 on the AVEC2017 dataset, and an F1 score of 0.816 and a classification accuracy of 0.810 on the AVEC2019 dataset. …”
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