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  1. 26881

    MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection by Jun Liu, Haolin Li, Hao Liu, Jiuzhen Liang

    Published 2025-12-01
    “…Its feature extraction module employs a dual-branch information residual unit (DIRU) as a substitute for the conventional convolution block, which combines the feature extraction capabilities of global pooling and max pooling, reducing the number of parameters while also achieving a certain improvement in detection results. …”
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  2. 26882

    Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

    Published 2025-02-01
    “…In a novel approach, BarlowDTI, we utilise the powerful Barlow Twins architecture for feature-extraction while considering the structure of the target protein. Our method achieves state-of-the-art predictive performance against multiple established benchmarks using only one-dimensional input. …”
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  3. 26883

    Deep-TEMNet: A Hybrid U-Net–2D LSTM Network for Efficient and Accurate 2.5D Transient Electromagnetic Forward Modeling by Zhijie Qu, Yuan Gao, Kang Xing, Xiaojuan Zhang

    Published 2025-01-01
    “…Trained on high-fidelity FEM-generated datasets, Deep-TEMNet achieves exceptional accuracy in reproducing electromagnetic field distributions across diverse geological scenarios, with a mean squared error of 0.00000134 and a root mean square percentage error of 0.002373019. …”
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  4. 26884

    Integrating Digital Technology Into Marathon Race With a Technology-Driven Service Design Approach to Enhance Marathoner Experiences by Sawitree Phua, Atthaves Borriraklert, Theeraya Mayakul

    Published 2024-01-01
    “…Lastly, elite runners had shown a compassionate inclination towards affiliation e-rewards, enabling them to convert their achievements into tangible benefits. A service blueprint was constructed to visualize the integration of digital technologies into marathon events covering marathoner actions, front-of-house employee actions, back-of-house employee actions, and internal information technology systems. …”
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  5. 26885

    Investigation of Procedural Decisions at the Beginning of Pre-Trial Investigation by Yа. A. Burlaka

    Published 2020-12-01
    “…Moreover, it is of great importance for the effective achievement of such a task of criminal proceedings as the speed and completeness of the investigation. …”
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  6. 26886

    Treinamento aeróbico e de força no tratamento do diabetes gestacional: uma revisão sistemática by Elisa Portella, Roberta Bgeginski, Luiz Kruel

    Published 2014-08-01
    “…O tipo de exercício escolhido pela maioria dos pesquisadores foi o aeróbico, entretanto os estudos que utilizaram o exercício de força também demonstraram melhor controle glicêmico. Considerando os achados desses estudos, o treinamento físico tanto aeróbico como de força, apresentou efeitos benéficos para mulheres com DMG, uma vez que ajudou a controlar a glicemia e reduzir as necessidades de insulina. …”
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  7. 26887

    Biomarker combinations from different modalities predict early disability accumulation in multiple sclerosis by Vinzenz Fleischer, Tobias Brummer, Muthuraman Muthuraman, Muthuraman Muthuraman, Falk Steffen, Milena Heldt, Maria Protopapa, Muriel Schraad, Gabriel Gonzalez-Escamilla, Sergiu Groppa, Stefan Bittner, Frauke Zipp

    Published 2025-01-01
    “…When comparing all possible biomarker combinations, the tripartite combination of MRI, OCT and blood biomarkers achieved the highest discriminative accuracy. Finally, predictive causal modeling identified that LV mediates significant parts of the effect of GMV and sNfL on disability progression.ConclusionMultimodal biomarkers, i.e. different major surrogates for pathology derived from MRI, OCT and blood, inform about different parts of the disease pathology leading to clinical progression.…”
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  8. 26888

    Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach by İlker Özgür Koska, Çağan Koska

    Published 2025-01-01
    “…Exploration of means to integrate radiology knowledge into the models and achieve human-machine collaboration may help to develop better models. …”
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  9. 26889

    Changes in scanning orientation effects of Gafchromic EBT-3 film irradiated with ultra-high dose rate proton beams by Hiroshi Yasuda, Hassna Bantan, Masumi Umezawa, Masashi Yamada, Katsunori Yogo, Toshiyuki Toshito

    Published 2025-01-01
    “…Abstract While the FLASH radiotherapy (FLASH RT) using ultra-high-dose-rate (UHDR) proton beams has the potential to achieve more effective cancer treatment, reliable and practical dosimetry of UHDR beams remains challenging. …”
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  10. 26890

    Digital Competence of Young Adults in Poland by Małgorzata Ćwiek, Katarzyna Maj-Serwatka

    Published 2024-09-01
    “…The catalogue of competences under study was taken from the European Digital Competence Framework, which includes 21 digital competences grouped into five areas: (information and data literacy; communication and collaboration; digital content creation; safety; problem solving). To achieve the objective, a nationwide survey was conducted. …”
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  11. 26891

    Personal transformations of the elements of behavioral component of law enforcement officers’ professional activity by N. Ye. Tverdokhliebova

    Published 2018-11-01
    “…Second-year students tend to work together to achieve mutual goals that coincide and to avoid the risk of failure due to long-term analysis of solution options and possible consequences, they are prone to re-insurance and cautious actions. …”
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  12. 26892

    Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation by Yuxiang Liao, Haishan Xiang, Hantao Liu, Irena Spasic

    Published 2024-01-01
    “…Using the annotated data, we trained the model for automatically converting information from a narrative radiology report into the structured representation, which achieved a micro-F1 of 96.6% and 96.1% on named entity recognition, 94.0% and 89.8% on entity attribute recognition, and 89.5% and 86.6% on relation extraction, on the MIMIC-CXR and CheXpert test sets, respectively. …”
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  13. 26893

    Changes in Dickkopf-1 (DKK1) and Sclerostin following a Loading Dose of Vitamin D2 (300,000 IU) by A. Sankaralingam, R. Roplekar, C. Turner, R. N. Dalton, G. Hampson

    Published 2014-01-01
    “…Supraphysiological concentration in 1,25 (OH)2 vitamin D achieved following a loading dose of vitamin D increases sclerostin and may inhibit Wnt signalling. …”
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  14. 26894

    Augmenting neurocognitive remediation therapy to Preventive Cognitive Therapy for partially remitted depressed patients: protocol of a pragmatic multicentre randomised controlled t... by Huibert Burger, Claudi Bockting, Marlies Brouwer, Gert J Geurtsen, Amanda M Legemaat, Johanne G J van der Stappen, Maria Semkovska, Isidoor O Bergfeld, Nicoline Lous, Damiaan A J P Denys

    Published 2022-06-01
    “…Brief psychological interventions such as preventive cognitive therapy (PCT) can reduce depressive symptoms or relapse for patients in partial remission, although achieving full remission with treatment is still a clinical challenge. …”
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  15. 26895

    Unpredictable Malnutrition and Short-Term Outcomes after Single Anastomosis Sleeve Ileal (SASI) Bypass in Obese Patients by Ayman Kamal, Mahmoud El Azawy, Tarik A. A. Hassan

    Published 2023-01-01
    “…The SASI bypass may be an effective bariatric and metabolic surgery that can achieve satisfactory weight loss and improvement in medical comorbidities. …”
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  16. 26896

    Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

    Published 2025-03-01
    “…Wireless communications are susceptible to various signal distortions during transmission, including inter-symbol interference, adjacent channel interference, and co-channel interference. As a result, achieving error-free signal transmission in wireless communication is often challenging. …”
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  17. 26897

    Immunotherapeutic Potential of Mollusk Hemocyanins in Combination with Human Vaccine Adjuvants in Murine Models of Oral Cancer by Juan José Mora Román, Miguel Del Campo, Javiera Villar, Francesca Paolini, Gianfranca Curzio, Aldo Venuti, Lilian Jara, Jorge Ferreira, Paola Murgas, Alvaro Lladser, Augusto Manubens, María Inés Becker

    Published 2019-01-01
    “…Therefore, hemocyanin utilization would allow a lower QS-21 dosage to achieve therapeutic results. Overall, our study opens a new door to further investigation of the use of hemocyanins plus adjuvants for the development of immunotherapies against oral carcinoma.…”
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  18. 26898

    Emic definitions of empowerment for just development: learnings from Kenya by Haley Zaremba, Eileen Bogweh Nchanji, Nadia Guettou Djurfeldt, Hanna North, Vanya Slavchevska, Annarita Macchioni Giaquinto

    Published 2024-03-01
    “…Although Pro-WEAI results indicated that women and men in the study communities have achieved gender parity and experience a similar level of empowerment, qualitative findings suggest that experiences of empowerment don’t necessarily fit with Index scores. …”
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  19. 26899

    Adomas Jakštas - Dambrauskas (1860-1938) as a Lithuanian public figure and literary man by Vanda Stonienė

    Published 2024-08-01
    “…Among his literary achievements, his biographies of many Lithuanian cultural figures and writers should also be mentioned. …”
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  20. 26900

    Clinical significance of PCT, CRP, IL-6, NLR, and TyG Index in early diagnosis and severity assessment of acute pancreatitis: A retrospective analysis by Xu Xinyu, Zhou Jiang, Ai Qing, Li Lihua, Liu Xiehong, Zhou Lin

    Published 2025-01-01
    “…The combined model of CRP + NLR + TyG achieved the highest AUC (0.882, sensitivity = 77.2%, specificity = 88.5%), though it was not significantly better than CRP + NLR or CRP + TyG models (P > 0.05). 5-fold cross-validation confirmed consistent performance (mean AUC = 0.817 ± 0.118). …”
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