Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach by Chuwei Liu, Heng Liang, Arabella H. Wan, Min Xiao, Lei Sun, Yiling Yu, Shijia Yan, Yuan Deng, Ruonian Liu, Juan Fang, Zhi Wang, Weiling He, Guohui Wan

“…Here, we introduce pum6a, an innovative attention-based framework that integrates positive and unlabeled multi-instance learning (MIL) to address the challenges of incomplete labeling and missing read-level annotations. …”
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Development and validation of the Immune Profile Score (IPS), a novel multiomic algorithmic assay for stratifying outcomes in a real-world cohort of patients with advanced solid ca... by Yan Liu, Matthew Zibelman, Timothy Chan, Justin Guinney, Douglas Adkins, Ezra E W Cohen, Michelle M Stein, Halla Nimeiri, Sandip P Patel, Alia D Zander, Rossin Erbe, Ailin Jin, Sayantoni Mukhopadhyay, Ben Terdich, Mario G Rosasco, Nirali Patel, Chithra Sangli, Timothy Taxter, Seung Won Hyun, Brett M Mahon, A Kate Sasser, Michelle A Ting-Lin, Kyle A Beauchamp

“…The IPS model was developed using a machine learning framework that includes tumor mutational burden (TMB) and 11 RNA-based biomarkers as features.Results IPS-High patients demonstrated significantly longer overall survival (OS) compared with IPS-Low patients (HR=0.45, 90% CI (0.40 to 0.52)). …”
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AN INNOVATIVE WAY OF DEVELOPMENT OF HIGHER EDUCATION – A PREREQUISITE TO ENHANCE ITS QUALITY by O. Garashchuk, V. Kutsenko

“…Revealed the importance of financial components to provide the resource base for the transition of the educational sector in the innovation way of development. …”
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Taller de injusticias epistémicas: uso de métodos narrativos para el aprendizaje en bioética by Pamela Jofré, Pía Flores, Rodrigo Valenzuela, Rodrigo Vergara

“…In the surveys, they had a positive evaluation of the activity, highlighting the learning in small groups as very favorable, based on the reflection fostered in different narrative formats. …”
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Identification of m5C RNA modification-related gene signature for predicting prognosis and immune microenvironment-related characteristics of heart failure by Zirui Liu, Rui Feng, Ying Xu, Meili Liu, Haocheng Wang, Yu Lu, Weiqi Wang, Jikai Wang, Cao Zou

“…Four hub genes were identified by machine-learning algorithms and all verified by validation model. …”
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Analyzing the educational challenges in the metaverse by F. Khoshnevisan, M. Talaei, S. Sharifi

“…Since capacities and capabilities are necessary for educational development, preparing grounds for its use by the next generation through a planning based on the findings of this paper can greatly increase the utilization rate of its positive aspects.…”
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Stewardship of digital language archives: training development and testing through collaboration of information scientists, linguists, and communities by Oksana L. Zavalina, Alexandra O'Neil, Shobhana L. Chelliah

“…The project is expected to positively impact LAM education and DLA users’ experiences. …”
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The importance of English subjects at the primary level: Stakeholders’ perceptions by Nida Husna, Anni Rachmayani, Reza Anis Maulidya, Fahriany Fahriany

“…This study investigates how stakeholders perceived the inclusion of English subjects as part of local content in primary schools. A qualitative method employing a descriptive approach was used to conduct the research. …”
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Korelasi Layanan Internet dengan Akses Layanan Perpustakaan di Kalangan Mahasiswa dalam Membantu Manajemen Perpustakaan (Studi Kasus di Perpustakaan IAIN Kediri) by Puspoko Ponco Ratno, Ayu Tahta Nur Aida, Laily Nur Qomariyah

“…To determine the value of validity and reliability, the Pearson Correlation Product Moment formula and Alpha-Cronbach formula are used. Based on the results of the data analysis technique using simple linear regression, between the independent (internet services) and the dependent variable (services in the library) has a correlation value (R2) of 25.5% which means that there is a positive correlation (interrelated between one variable and one variable). other). …”
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Real-Time Caterpillar Detection and Tracking in Orchard Using YOLO-NAS Plus SORT by Sumesh Nair, Guo-Fong Hong, Chia-Wei Hsu, Chun-Yu Lin, Shean-Jen Chen

“…Even for the smallest caterpillars (21 × 6 pixels), the method achieved over 60% true positive detection accuracy without false positives within 1 s inference. …”
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Behavioral Activation for Treatment-resistant Depression: Theoretical Model and Intervention Protocol (BA-TRD) by Michel A. Reyes-Ortega, Jorge Barraca, Jessica Zapata-Téllez, Alejandra M. Castellanos-Espinosa, Joanna Jiménez-Pavón

“…Results: The model reflects how patients with TRD are more susceptible to becoming trapped in their condition by seeking to avoid discomfort through avoidance and escape behaviors, which increasingly drives them away from sources of positive reinforcement. Based on this model, a BA-based intervention protocol is suggested for the treatment of TRD. …”
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MRI radiomics model for predicting tumor immune microenvironment types and efficacy of anti-PD-1/PD-L1 therapy in hepatocellular carcinoma by Rui Zhang, Wei Peng, Yao Wang, Yunping Jiang, Junli Wang, Siying Zhang, Zhi Li, Yushu Shi, Feng Chen, Zhan Feng, Wenbo Xiao

“…We aimed to develop an MRI-based radiomics model to predict TIME types and validate its predictive capability for ICIs efficacy in HCC patients receiving anti-PD-1/PD-L1 therapy. …”
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Implementation gaps in food safety interventions: evidence from a multi-vocal review focusing on animal-source foods in Ethiopia by Meseret Bekele, Meseret Bekele, Delia Grace, Delia Grace, Theodore J. D. Knight-Jones, Florence Mutua, Johanna F. Lindahl, Johanna F. Lindahl, Johanna F. Lindahl, Meena Daivadanam

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Strength-agility and fine motor are differently associated with non-verbal intelligence in dependency to sex and age in school children: Structural equation modelling multigroup ap... by Martin Musálek, Chipo Malambo, Jan Chrudimský, Jakub Kokštejn, Radka Bačáková, Šárka Vokounová

“…Background: In today's digital age, demanding to interpret vast quantities of visual information with speed and accuracy, nonverbal Intelligence has become increasingly crucial for children, as it plays a key role in cognitive development and learning. While motor proficiency has been positively linked to various cognitive functions in children, its relationship with nonverbal Intelligence remains an open question. …”
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Ultrasound education, competencies and expected future use among medical interns in Denmark: a national cross-sectional study by Pernille Gram, Thomas Purup, Emilie Marie Eriksen, Stina Søbye, Simone Kjaergaard Wielandt, Kasper Astorp, Martin Bach Jensen, Camilla Aakjaer Andersen

“…Training governance and scaffolding continuous learning may be needed. Trial registration None.…”
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Identification and Validation of Key Genes Involved in the Coupling of Mitochondria-Associated Endoplasmic Reticulum Membrane in Hemorrhoidal Disease by Mao L, Rao Z, Wang Y, Yang J, He J, Zheng Z, Chen L

“…A total of 50 candidate genes were selected through their intersection. Machine learning identified two key genes, MUC16 and DEFA5. …”
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Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline by Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo, Patricia Caratozzolo

“…By leveraging machine learning models, this taxonomy aims to bridge the gap between current skills and future demands, contributing to educational and professional development.MethodsTo achieve this, an NLP-based architecture was developed using a combination of text preprocessing, NER, and RE models. …”
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Prospective Teachers’ Perceptions of Using Information and Communication Technologies in Biology Education: Insights from Some Colleges of Teacher Education in Ethiopia by Adane Sifer Besir, Getachew Sime Feyissa, Mulugeta Yayeh Worku, Girma Tilahun Yimer

“…The result shows PTs had a positive perception of ICTs, with significant differences based on gender and ICT experience (p < 0.05). …”
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Acute hepatitis of unknown aetiology in children: evidence for and against causal relationships with SARS-CoV-2, HAdv and AAV2 by Xin Chen, Abrar Ahmad Chughtai, Chandini Raina MacIntyre, Trisha Greenhalgh, Hisham Ziauddeen, Deepti Gurdasani, Julie McEniery, Aye Moa, Mallory Trent, Emmanuel Mnatzaganian, Stuart Turville, Mohana Priya Kunasekaran

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Detailed Architectural Design of a Multi-Head Self-Attention Model for Lithium-Ion Battery Capacity Forecasting by Juyeon Park, Gyeong Ho Lee, Jangkyum Kim, Yoon-Sik Yoo, Il-Woo Lee

“…To address variability in battery data collection, we implement robust preprocessing techniques and a sliding window method to standardize data input. Positional encoding is applied to embed sequence order information at the input stage, while residual connections and layer normalization between MHSA layers optimize the learning process. …”
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