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  1. 51061

    A Systematic Review on Smart and Predictive Maintenance in Tool Condition Monitoring by Dhanalekshmi Prasad Yedurkar, Thomas Schlech, Markus G. R. Sause

    Published 2025-01-01
    “…This study aims to support a comprehensive and methodical review of studies on the data-driven approach for estimating the RUL of cutting tools used in various computer numerical control (CNC) machining processes, including drilling, milling, and turning operations. …”
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  2. 51062

    Conditions for and potential solutions associated with continuity of care for patients with complex care needs across Swedish regions with differing population densities by Linda Ljungholm, Charlotte Klinga, Mirjam Ekstedt, Anette Edin-Liljegren, Elin-Sofie Forsgärde

    Published 2025-04-01
    “…Possible solutions for overcoming these challenges include prioritizing relational continuity, streamlining processes, and advocating for a unified communication system. …”
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  3. 51063

    An updated regional model skill assessment for seasonal and interannual variability of bottom temperature across the eastern Bering Sea shelf by Kelly A. Kearney, Phyllis J. Stabeno, Albert J. Hermann, Albert J. Hermann, Calvin W. Mordy, Calvin W. Mordy

    Published 2025-02-01
    “…We then use this combination of data to systematically assess the skill of the Bering10K ROMS model in capturing these features, focusing on spatial variability in skill metrics and the potential processes leading to these patterns. We confirm that the model captures shelf-wide patterns in bottom temperature well, including mean patterns as well as both seasonal and interannual variability. …”
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  4. 51064

    Implications for developing global health education in China: evidence from an undergraduate teamwork with role-play by Chen Chen, Taufique Joarder, Chenkai Wu, Yi Cai, Hong Chen, Junxiong Pang

    Published 2025-02-01
    “…We conducted a content analysis using two types of materials from the students: (1) concept note and proposal presentations and (2) students’ responses to the open-question feedback survey with four questions.Results Students addressed the colonial origins of global health and its evolving definition, emphasising the need for a broader interdisciplinary approach. …”
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  5. 51065

    Patients with atrial fibrillation in outpatient practice: clinical characteristics and outcomes over a 10-year observation period (data from the REQUAZA AF registrу — Yaroslavl) by V. V. Yakusevich, V. Vl. Yakusevich, S. Yu. Martsevich, M. M. Lukyanov, O. M. Drapkina

    Published 2023-11-01
    “…Aim. To present clinical characteristics and assess serious adverse outcomes (death, acute cardiovascular events) in outpatients with atrial fibrillation (AF) in one of the Yaroslavl clinics for 10 years.Material and methods. …”
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  6. 51066

    Protein tyrosine phosphatase receptor type kappa (PTPRK) revisited: evolving insights into structure, function, and pathology by Chen Zheng, Ting Liu, An Qi Wang, Xing An Chen, Rong Zhe Zhang, Xuan Chao Wang, Chao Yue Lv, Ru Lu Pan, Ou Chen Wang, Xin-Cheng Lu

    Published 2025-05-01
    “…Notably, PTPRK undergoes proteolytic cleavage by Furin and ADAM10, resulting in the generation of an extracellular E-subunit and a P-subunit. Further processing by γ-secretase releases the intracellular PIC, which plays a pivotal role in regulating β-catenin signaling within the nucleus. …”
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  7. 51067

    In silico study of new bis-3R, 4R′-5-(((1H-1,2,4-triazole-5-yl)thio)methyl)-4H-1,2,4-triazole-3-thione derivatives by Ye. O. Karpun, Yu. V. Karpenko, V. V. Parchenko, O. I. Panasenko

    Published 2019-12-01
    “…Alkaline phosphatases belong to a broad family of enzymes, ectonucleotidases, which are responsible for the dephosphorylation of nucleoside phosphates and have an impact on the metabolic processes in the organism. , , , The purpose of this work was to conduct virtual screening and molecular docking of the initial 4-alkyl-5-(((3-(pyridine-4-yl)-1H-1,2,4-triazole-5-yl)thio)methyl)-4H-1,2,4-triazole-3-thiols, which are promising bioactive compounds capable of inhibiting alkaline phosphatase. …”
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  8. 51068

    A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

    Published 2024-12-01
    “…Focused on the mechanism of tokenization and embeddings design as the key components in BERT’s text processing, the research also evaluates the standard benchmarks used to train classification models and analyze complex cases, possible errors and improvement algorithms thus raising the classification models accuracy. …”
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  9. 51069
  10. 51070
  11. 51071

    HybridFusionNet: Deep Learning for Multi-Stage Diabetic Retinopathy Detection by Amar Shukla, Shamik Tiwari, Anurag Jain

    Published 2024-12-01
    “…In this paper, a hybrid model (HybridFusionNet) that integrates vision transformer (VIT) and attention processes is presented. It improves classification in the binary (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>B</mi><mrow><mi>c</mi><mi>l</mi></mrow></msub></semantics></math></inline-formula>) and multi-class (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>M</mi><mrow><mi>c</mi><mi>l</mi></mrow></msub></semantics></math></inline-formula>) stages by utilizing deep features from the DR stages. …”
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  12. 51072

    The Relation between Fatigue Level and Nurses’ Caring Behavior in The Orthopedic Department by Yasmin F. M. AbdElazeem, Rasha F. Ahmed, Eman F. A. M. Aly

    Published 2024-02-01
    “…Nurse's caring can impact a person's life processes, wellbeing, and functioning. On the other hand, fatigue is a subjective unpleasant feeling ranging from tiredness to exhaustion that could be physical, mental, or both. …”
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  13. 51073

    A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data by Abhay Bindle, Preeti Singla, Sachin Sharma, Abdukodir Khakimov, Reem Ibrahim Alkanhel, Ammar Muthanna

    Published 2025-01-01
    “…This research enhances information retrieval by combining machine learning-based ranking with traditional methods, improving knowledge discovery and decision-making in telecommunications and technical document processing.…”
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  14. 51074
  15. 51075

    Development and biomechanical evaluation of a 3D printed analogue of the human lumbar spine by Siril Teja Dukkipati, Mark Driscoll

    Published 2025-01-01
    “…Conclusions This study presents a reproducible 3D printable L1-S1 lumbar spine and validated it in all three orthogonal bending modes in the range of ± 15° against ex vivo and in silico data. …”
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  16. 51076

    The demographic collapse of hunting in the Iberian Peninsula by Mario Gaspar, Pelayo Acevedo, Eneko Arrondo, Ignacio García‐Martínez, Juan Herrero, Roberto Pascual‐Rico, José A. Sánchez‐Zapata, José D. Anadón

    Published 2025-04-01
    “…This collapse, together with other post‐rural abandonment processes (e.g. livestock and wood‐collection) is likely having a deep impact on wildlife populations and ecosystems, which is largely understudied. …”
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  17. 51077

    A new Clonostachys Sp. ZBS49 filamentous fungus with high production of betulinic acid and its inhibitory effect on liver cancer cells by Luran Geng, Jiale Cui, Changyixin Xiao, Linlin Xu, Fengjiao Yue, Ting Zhang, Mengran Zhan, Zichang Lu, Yuzhe Ren, Chunsheng Wang, Jing Yin

    Published 2025-06-01
    “…Results This study presented the first identification of filamentous fungal strains efficiently synthesizing both BA and OA. …”
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  18. 51078

    Elevated expression of miR-210 predicts poor survival of cancer patients: a systematic review and meta-analysis. by Jian Wang, Jiqing Zhao, Mengjing Shi, Yu Ding, Huiqin Sun, Fahuan Yuan, Zhongmin Zou

    Published 2014-01-01
    “…<h4>Background</h4>MiRNAs are important regulators of different biological processes, including tumorigenesis. MiR-210 is a potential prognostic factor for survival in patients with cancer according to previous clinical researches. …”
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  19. 51079

    Predicting sepsis treatment decisions in the paediatric emergency department using machine learning: the AiSEPTRON study by Damian Roland, Ewan Carr, Akash Deep, Sylvester Gomes, Harpreet Dhanoa, Phil Assheton

    Published 2025-05-01
    “…Existing risk scores and criteria for paediatric sepsis are not well-suited for early diagnosis in ED.Objective To develop and evaluate machine learning models to predict clinical interventions and patient outcomes in children with suspected sepsis.Design Retrospective observational study.Setting ED of a tertiary care hospital, UK.Patients Electronic health records of children &lt;16 years of age attending between 1 January 2018 and 31 December 2019. Patients presenting with minor injuries were excluded.Methods Prediction models were developed and validated, using 15 key predictors from triage and post-blood test data. …”
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  20. 51080

    A heuristic framework to portray agroecological transition initiatives in reflexive arrangements, illustrated with a conservation agriculture network in Denmark by Pauline Cassart, Anina Frei, Henrik Hauggaard-Nielsen, Henrik Kruse Rasmussen, Adrien Swartebroeckx, Eric Froidmont, Didier Stilmant, Walter A. H. Rossing

    Published 2025-06-01
    “…Interpreting the results in terms of the multi-level perspective, we found a new advisory role to be emerging, where advisors facilitate horizontal knowledge structures and construct networks, and thereby enhance niche development with technological and network anchoring processes. However, institutional anchoring was found to be limited by contested knowledge. …”
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