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  1. 701

    Quality of the record of drug-related problems in a database for voluntary adverse event reporting by Maria Teresa Aznar-Saliente, Laura Roca-Aznar, Amparo Talens-Bolós, Paola Herraiz-Robles, Manuel Bonete-Sánchez, Laia Pons-Martínez, Borja Marcos-Ribes

    Published 2017-07-01
    “…The “molecule” field was blank in 133 entries. A mean of 1.8±1.9 errors per entry were detected. Conclusions: Although agreement is good, the refinement process cannot be avoided, as it provides valuable information to improve pharmacotherapy. …”
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    Article
  2. 702
  3. 703

    On the modification of bit-flipping decoder of LDPC-codes by S. S. Gurskiy, N. S. Mogilevskaya

    Published 2021-04-01
    “…Experiments have shown that the error-correcting capability of the modified decoder in the range of the real error rate is higher than that of the original decoder, regardless of the selection of its parameters.Discussion and Conclusions. …”
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  4. 704

    Teasing apart the sources of phylogenetic tree discordance across three genomes in the oak family (Fagaceae) by Zhao Shen, Biao-Feng Zhou, Yi-Ye Liang, Jing-Shu Wang, Run-Xian Yu, Yong Shi, Shao-Jun Ling, Wen-Ji Luo, Qiong-Qiong Lin, Jing-Wei Niu, Liang-Jing Qiao, Paul S. Manos, Baosheng Wang

    Published 2025-07-01
    “…The decomposition analyses revealed that gene tree estimation error, incomplete lineage sorting, and gene flow accounted for 21.19%, 9.84%, and 7.76% of gene tree variation, respectively. …”
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    Article
  5. 705

    Deep Learning Shield Attitude Prediction Model Based on Grey Correlation Analysis by Ke MAN, Zongxu LIU, Yan SHANG, Zhifei SONG, Xiaoli LIU, Bao SU

    Published 2025-03-01
    “…In addition, the evaluation metrics of the DWT–LSTM–SVR model met the construction error requirements, with the best prediction achieved for the shield tail displacement values. …”
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    Article
  6. 706
  7. 707
  8. 708

    Cointegration Analysis of the Interaction Between Changes in the Exchange Rates of the Us Dollar and Azerbaijani Manat With the Turkish Lira by N. G. Burjaliyeva

    Published 2024-07-01
    “…The study employs contemporary econometric methodologies, encompassing the Johansen cointegration test, Granger causality test, vector error correction, and other pertinent approaches.Results. …”
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    Article
  9. 709

    Exploring pre-service mathematics teachers’ thinking for solving linear programming word problems by Al Jupri, Dian Usdiyana, Sumanang Muhtar Gozali

    Published 2024-12-01
    “…The findings of this study include the identification of essential word problems in linear programming and a comparative analysis between the predicted and actual problem-solving processes exhibited by the participants. In conclusion, this study highlights the potential of cognitive process predictions in anticipating learning difficulties and informing instructional strategies. …”
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  10. 710

    SOFTWARE METHODS FOR INCREASING THE RELIABILITY OF AERODROME QUASI-DOPPLER AUTOMATIC RADIO DIRECTION FINDERS by G. K. Aslanov, R. B. Kazibekov, T. M. Mirzabekov, R. R. Musaibov

    Published 2019-11-01
    “…The use of the proposed method increases the potential reliability of airfield quasi-Doppler automatic direction finders without any hardware costs, as well as ensuring the adequacy of the calculated instrumental error values of airfield quasi-Doppler automatic direction finders relative to the real ones.…”
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    Article
  11. 711

    Headache in the paediatric population: the role of the ophthalmologist by Marta Degrassi, Stefania Tonetto, Paola Michieletto, Paolo Dalena, Paolo Dalena, Egidio Barbi, Egidio Barbi, Stefano Pensiero

    Published 2025-06-01
    “…Each child underwent a questionnaire regarding headache characteristics and all the clinical and instrumental examinations necessary to reach the diagnosis.ResultsMigraine was the most common form (28.7%), followed by headache associated with inadequate refractive error. (HARE, 23.7%), tension-type headache (17.8%), strabismus (16.8%), intracranial hypertension (6.9%), digital eye strain (5.9%). …”
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  12. 712

    Myopic Strain: a normalized metric concept for assessing axial myopia by Qi Ren, Zhe Chu

    Published 2025-08-01
    “…Notably, the theoretical emmetropization baseline of AL/CR exhibited an inverse relationship with AL. In conclusion, Myopic Strain emerges as a suitable normalized metric for assessing axial myopia severity.…”
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  13. 713
  14. 714

    Comparative analysis of the effectiveness of various calculation formulas and measurement systems for the target astigmatic axis of the toric IOL in intraocular correction of corne... by O. S. Nabatova, A. I. Fisenko, E. V. Kozina, E. V. Leksutkina

    Published 2025-03-01
    “…The percentage of eyes with a vector error of less than 0.5 dpt in the second group exceeded the indicator of the first group by 13.3 %, less than 1.0 dpt – by 23.3 %.Conclusion. …”
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  15. 715

    Hypermetropia as a Risk Factor for Age-Related Macular Degeneration. Review by V. G. Likhvantseva, S. G. Kapkova, A. S. Gevorgyan, E. Yu. Nekrasova

    Published 2022-07-01
    “…In general, experts came to the conclusion that the likelihood of developing AMD depends on the refractive status of the patient.…”
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  16. 716
  17. 717

    A Behavioral and fNIRS Comparative Study of Gender and Task Differences in Mental Rotation Among Primary Students by Dandan Wu, Jinfeng Yang, Zhi Hong Wan, Yining Shen, Qianming Liu, Jinghui Zhang, Simin Cao, Hui Li

    Published 2025-03-01
    “…This suggests that while behavioral tasks showed no differences, neuroimaging revealed underlying neural disparities. Conclusion The discrepancy between behavioral and fNIRS findings reveals a tendency in behavioral studies to accept a false negative, resulting in Type II errors. …”
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  18. 718

    Construction Of Almost Unbiased Estimator For Population Mean Using Neutrosophic Information by Florentin Smarandache, Rajesh Singh, Anamika Kumari, Shobh Nath Tiwari

    Published 2025-02-01
    “…Equations for bias and mean squared error are calculated for the suggested estimators up to the first order of approximation. …”
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  19. 719

    Minimum uncertainty as Bayesian network model selection principle by Grigoriy Gogoshin, Andrei S. Rodin

    Published 2025-04-01
    “…Results The objective of the study is attained by (i) approaching model evaluation as a misspecification problem, (ii) estimating the effect that sampling error has on the satisfiability of conditional independence criterion, as reflected by Mutual Information, and (iii) utilizing this error estimate to penalize uncertainty with the novel Minimum Uncertainty (MU) model selection principle. …”
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  20. 720

    Pilot Data for a New Headphone-Based Assessment of Absolute Localization in the Assessment of Auditory Processing Disorder (APD) by Jack Hargreaves, Julia Sarant, Bryn Douglas, Harvey Dillon

    Published 2025-01-01
    “…Front–back errors (FBEs) were evident, contributing to an average RMS error that was notably elevated when compared to similar free-field tasks. …”
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