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  1. 13481

    Experiences and Perceptions on Community Client-Led ART Delivery (CCLADS) Model of Antiretroviral (ART) Delivery: Patients’ and Providers’ Perspectives in South Western Uganda. by Kasande, Meble, Tusimiirwe, Happiness, Taremwa, Michael, Lamulatu, Kabiite, Amanyire, Mark, Nakidde, Gladys, Kabami, Jane

    Published 2024
    “…Experiences also included enough time, learning some activities, and good adherence. Conclusion: Participation in the CCLADS groups provides several benefits to the patient including reduced transport, longer refills, and good adherence. …”
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    Article
  2. 13482

    Impact of Interactive Digital Tools on Agriculture Education in Secondary Schools: A Case Study of Rwamucucu Sub-county Rukiga District. by Akampurira, Ronald

    Published 2024
    “…Based on results from the study, the study findings showed the benefits of interactive digital tools on agricultural education in secondary schools and these included enhanced Engagement and Motivation, improved Understanding of Complex Concepts, access to Updated Information and Resources, practical Skill Development, Personalized Learning Experience, collaboration, and Networking Opportunities. …”
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    Thesis
  3. 13483

    Pupil Leadership and Discipline Maintenance Among Pupils’ in Primary Schools of Muko Sub-County Rubanda District. by Twegarukemu, Patrick

    Published 2024
    “…Provision of clear and consistent rules, ensuring better classroom management, teachers and staff should act as positive role models for the pupils, ensuring parental involvement in the education process, incorporating social and emotional learning programs into the school curriculum to help pupils develop emotional intelligence and implementing anti-bullying programs to create a safe and inclusive environment for all pupils are the measures of discipline maintenance among pupils’ in the selected primary schools that were mentioned. …”
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    Thesis
  4. 13484
  5. 13485
  6. 13486

    Serum NFL and neuropsychological performance over ∼8 years in women with and without HIV: a longitudinal repeated measures studyResearch in context by Deborah R. Gustafson, Xuantao Li, Alison E. Baird, Henrik Zetterberg, Kaj Blennow, Jinbing Zhang, Amanda Blair Spence, Pauline Maki, Anjali Sharma, Kathleen Weber, Recai Yucel

    Published 2025-02-01
    “…Sociodemographically-adjusted NP T-scores (attention, working memory, executive function, processing speed, learning, verbal fluency and global) were calculated. …”
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    Article
  7. 13487

    Chronic lung lesions in COVID-19 survivors: predictive clinical model by Paulo A Lotufo, Juliana C Ferreira, Eloisa Bonfa, Anna S Levin, Rodrigo Caruso Chate, Marta Imamura, Esper G Kallas, Roger Chammas, Thais Mauad, Izabel Marcilio, Nelson Gouveia, Ricardo Nitrini, José Eduardo Krieger, Marcio Valente Yamada Sawamura, Michelle Louvaes Garcia, Cristiano Gomes, Guilherme Fonseca, Jorge Hallak, Luis Yu, Marcio Mancini, Maria Elizabeth Rossi, Thiago Avelino-Silva, Edivaldo M Utiyama, Aluisio C Segurado, Beatriz Perondi, Anna Miethke-Morais, Amanda C Montal, Leila Harima, Marjorie F Silva, Marcelo C Rocha, Maria Amélia de Jesus, Carolina Carmo, Clarice Tanaka, Julio F M Marchini, Thaís Guimarães, Ester Sabino, Carlos Roberto Ribeiro Carvalho, Celina Almeida Lamas, Diego Armando Cardona Cardenas, Daniel Mario Lima, Paula Gobi Scudeller, João Marcos Salge, Cesar Higa Nomura, Marco Antonio Gutierrez, Adriana L Araújo, Bruno F Guedes, Carolina S Lázari, Cassiano C Antonio, Claudia C Leite, Emmanuel A Burdmann, Euripedes C Miguel, Fabio R Pinna, Fabiane Y O Kawano, Geraldo F Busatto, Giovanni G Cerri, Heraldo P Souza, Izabel C Rios, Larissa S Oliveira, Linamara R Batisttella, Luiz Henrique M Castro, Marcello M C Magri, Maria Cassia J M Corrêa, Maria Cristina P B Francisco, Maura S Oliveira, Orestes V Forlenza, Ricardo F Bento, Rodolfo F Damiano, Rossana P Francisco, Solange R G Fusco, Tarcisio E P Barros-Filho, Wilson J Filho

    Published 2022-06-01
    “…Patients with abnormalities in at least one of these parameters underwent chest CT. mMRC scale, SpO2, FVC and CXR findings were used to build a machine learning model for lung lesion detection on CT.Setting A tertiary hospital in Sao Paulo, Brazil.Participants 749 eligible RT-PCR-confirmed SARS-CoV-2-infected patients aged ≥18 years.Primary outcome measure A predictive clinical model for lung lesion detection on chest CT.Results There were 470 patients (63%) that had at least one sign of pulmonary involvement and were eligible for CT. …”
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    Article
  8. 13488

    Children's intonation : a framework for practice and research / by Wells, Bill (Clinical linguistics)

    Published 2016
    Table of Contents: “…Machine generated contents note: Preface Foreword by John Local 1 Intonation 2 Turns 3 Topics and focus 4 Actions 5 Intonation in interaction profile 6 Infancy 7 Pre-school years 8 School years 9 Models 10 Speech, language and literary difficulties 11 Autism spectrum and learning difficulties 12 Hearing impairments References Appendices 1: Transcription conventions 2: Robin: background information 3: Intonation in interaction profile 4: Developmental phase model 5: Intonation processing model 6: Mick 7: Jacob 8: Ricky Index.…”
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  9. 13489

    Performance evaluation and prediction of optimal operational conditions for a compact date seeds milling unit using feedforward neural networks by Khaled Abdeen Mousa Ali, Changyou Li, Wang Han, Sali Issa, Mohamed Hamdy Eid, Samy F. Mahmoud, Marwa Abd-Elnaby Mohammed

    Published 2025-02-01
    “…This research pioneers the application of machine learning in optimizing date seed processing, potentially revolutionizing agricultural waste valorization and opening new avenues for sustainable resource utilization.…”
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    Article
  10. 13490

    Implementation of the hidden curriculum in the formation of the religious character of students by Ulfa Fitria, Nur Khalimah

    Published 2024-12-01
    “…The hidden curriculum implemented includes congregational prayers, madrasah diniyah, istighosah, study sessions of the Ihya’ Ulumiddin book, Quran learning using the Yanbu’a method, monthly Ahad Legi gatherings, and weekly ro’an activities every Friday. …”
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    Article
  11. 13491

    Second Trimester Abortion: A Dilation and Evacuation Simulation for Gynecologic Surgery and Obstetrics Residents by Kiley Hunkler, David Boedeker, Elizabeth Gill, Katelyn Simpkins, Katerina Shvartsman, Jill Brown, Sara Drayer

    Published 2025-01-01
    “…A standardized rubric was used to evaluate learners’ mastery of procedural learning objectives, and a pre- and postsimulation assessment measured learners’ knowledge and confidence before and after the activity. …”
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    Article
  12. 13492

    An Integrated Stacking Ensemble Model for Natural Gas Purchase Prediction Incorporating Multiple Features by Junjie Wang, Lei Jiang, Le Zhang, Yaqi Liu, Qihong Yu, Yuheng Bu

    Published 2025-01-01
    “…To address this issue, a stacking ensemble learning model was developed to enhance the ability to handle complex nonlinear problems. …”
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    Article
  13. 13493

    Insight on the Genetics of Atrial Fibrillation in Puerto Rican Hispanics by Ariel F. Gonzalez-Cordero, Jorge Duconge-Soler, Hilton Franqui-Rivera, Roberto Feliu-Maldonado, Abiel Roche-Lima, Israel Almodovar-Rivera

    Published 2021-01-01
    “…Furthermore, we performed a machine learning analysis and determined that Native American admixture and heart failure were strongly predictive of AF in PHR. …”
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    Article
  14. 13494

    DAShip: A Large-Scale Annotated Dataset for Ship Detection Using Distributed Acoustic Sensing Technique by Wenjin Huang, Shaoyi Chen, Yichang Wu, Ruihua Li, Tianrui Li, Yihua Huang, Xiaochun Cao, Zhaohui Li

    Published 2025-01-01
    “…In addition, the scarcity of datasets for ship passage events in the DAS field hampers the adoption of deep learning technologies for enhancing ship detection. …”
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    Article
  15. 13495

    Risk prediction tools for pressure injury occurrence: an umbrella review of systematic reviews reporting model development and validation methods by Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica Velickovic, Jacqueline Dinnes

    Published 2025-01-01
    “…Of the seven reviews reporting model development and validation, six included only machine learning models. Two reviews included external validations of models, although only one review reported any details on external validation methods or results. …”
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    Article
  16. 13496

    ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia by Abhiram Thiriveedhi, Swetha Ghanta, Sujit Biswas, Ashok K. Pradhan

    Published 2025-01-01
    “…These findings highlight the effectiveness of CNNs in accurately detecting ALL from PBS images and emphasize the importance of addressing data imbalance issues through appropriate preprocessing techniques at the same time demonstrating the usage of XAI in solving the black box approach of the deep learning models. The proposed ALL-Net outperformed EfficientNet, MobileNetV3, VGG-19, Xception, InceptionV3, ResNet50V2, VGG-16, and NASNetLarge except for DenseNet201 with a slight variation of 0.5%. …”
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    Article
  17. 13497
  18. 13498

    Spatiotemporal changes of ecosystem health and the impact of its driving factors on the Loess Plateau in China by Xuepeng Zhang, Taixia Wu, Qiqi Du, Ninglei Ouyang, Wei Nie, Yang Liu, Peng Gou, Guangchao Li

    Published 2025-01-01
    “…The efficient machine learning model (light gradient boosting machine model) and the variable explanation model (SHapley Additive exPlanation model) are combined to quantify the functional relationships between various driving factors and EH, thereby exploring the impacts of climatic factors, socioeconomic development (SED), and ecological restoration projects (ERP) on EH. …”
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    Article
  19. 13499
  20. 13500

    Characterization of G2/M checkpoint classifier for personalized treatment in uterine corpus endometrial carcinoma by Yiming Liu, Yusi Wang, Shu Tan, Xiaochen Shi, Jinglin Wen, Dejia Chen, Yue Zhao, Wenjing Pan, Zhaoyang Jia, Chunru Lu, Ge Lou

    Published 2025-02-01
    “…Ultimately, an artificial neural network (ANN) and machine learning were employed to develop the G2MC subtypes classifier. …”
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    Article