Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals by Jonathan Martinez, Kaan Sel, Bobak J. Mortazavi, Roozbeh Jafari

“…<italic>Results</italic>: Boosted-SpringDTW achieves precision, recall, and F1-scores over 0.96 for identifying fiducial points and mean absolute error values less than 11.41 milliseconds when estimating IBI. …”
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Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications by Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Abdelhamied A. Ateya

“…The effectiveness of machine learning (ML) models can be estimated using a variety of different metrics, including the variance score, R square, mean square error (MSE), mean absolute error (MAE), and root mean square error (RMSE). …”
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Mental fatigue impairs endurance performance in a time-to-exhaustion handgrip task: psychophysiological markers of effort engagement dynamics by Sarvenaz Daneshgar-Pironneau, Michel Audiffren, Abdelrahni Benraïss, Angèle Métais, Nathalie André

“…In addition, performance decrement in the time to exhaustion handgrip task was larger after the Stroop task than after the documentary viewing task (d = 0.818).ConclusionThis study highlights the importance of assessing both performance and effort engagement to understand mental fatigue. …”
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10-year stability of magnetite nanopowder prepared by the exploding wire method: is it a useful feature for environment safety and biomedical applications? by I. A. Khlusov, A. S. Omelyanchik, V. V. Rodionova, V. V. Shupletsova, O. G. Khaziakhmatova, K. A. Yurova, L. S. Litvinova, I. K. Norkin

“…Reduced remanent magnetization (MR / MS) was equal for both samples within the margin of error. No cytotoxic effect of MNPs in vitro was detected in the long-term study.Conclusion. …”
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Accuracy of SIRS, age-adapted pSOFA, and quick SOFA scoring systems for predicting outcomes in paediatric patients with sepsis: a meta-analysis by Jingmin Sun, Jing Li, De Wu, Fang Deng

“…Heterogeneity was evaluated using I2, which estimates the percentage of variation between study results due to heterogeneity rather than sampling error. Results: Eleven studies met inclusion criteria and evaluated the SOFA scoring system. …”
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Liver damage with measles by M. A. Sayfullin, N. N. Zvereva, E. A. Nurmuhametova, N. P. Blohina, E. Yu. Pylaeva, K. S. Konyaev, O. V. Shamsheva

“…An increase in total bilirubin above 20 μmol / L was observed in 10 (10.5%), direct above 5 μmol / L – in 13 (13.6%) patients.Conclusion: given the frequency of occurrence of the identified changes, it is advisable to conduct a biochemical blood test for measles patients. …”
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Predicting medication wastage using machine learning based on patient beliefs by Firdaus Aziz, Sorayya Malek, Shubathira Sooriamoorthy, Ilham Asyilah Mahamood, Chong Wei Wen, Sharifah M. Syed Ahmad, Putri Nur Fatin Amir Rudin, Adliah Mhd Ali

“…Key predictors of medication wastage included beliefs about medicines, age, ethnicity, region and monthly income. Conclusion This study is the first to apply ML to address medication wastage in a Southeast Asian context, filling a critical research gap. …”
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Assessment of Racial Misclassification Among American Indian and Alaska Native Identity in Cancer Surveillance Data in the United States and Considerations for Oral Health: A Syste... by Amanda J. Llaneza, Alex Holt, Julie Seward, Jamie Piatt, Janis E. Campbell

“…Data were analyzed in terms of the discussion of racial misclassification, methods to reduce this error, and the reporting of research involving Indigenous peoples. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…In conclusion, the integration of hyperspectral imaging with multivariate analysis represents a robust, non-destructive, and rapid approach for real-time detection of honeydew contamination in cotton, offering significant potential for industrial applications.…”
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Outcomes of Sutureless Iris-Claw Lens Implantation by Tomasz Choragiewicz, Robert Rejdak, Andrzej Grzybowski, Katarzyna Nowomiejska, Joanna Moneta-Wielgoś, Małgorzata Ozimek, Anselm G. M. Jünemann

“…Mean postoperative refractive error was −0.27 Dsph (−3.87 Dsph to +2.85 Dsph; median 0.0, SD 1.28). …”
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Comparison of the Early Clinical Outcomes between Combined Small-Incision Lenticule Extraction and Collagen Cross-Linking versus SMILE for Myopia by Alex L. K. Ng, Tommy C. Y. Chan, George P. M. Cheng, Vishal Jhanji, Cong Ye, Victor C. P. Woo, Jimmy S. M. Lai

“…The efficacy index was 0.88±0.13 and 0.97±0.06, respectively (p=0.005). Conclusion. SMILE Xtra had good overall safety profile and predictability at 6 months. …”
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Research on multi-scale simulation and dynamic verification of high dynamic MEMS components in additive manufacturing by Sining Lv, Hengzhen Feng, Wenzhong Lou, Chuan Xiao, Shiyi Li

“…The parameters obtained in the conclusion can provide a design basis for the additive preparation of MEMS components.…”
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Low-energy lenticular laser surgery for the correction of myopia by E.V. Boiko, D.R. Mirsaitova, A.V. Titov

“…And in subgroups with a high degree of myopia, when using an energy level in the range of 140 nJ, no direct effect of energy on other indicators was found. Conclusion. Accordingto the results of the study, it was found that the correction of myopic refractive error using the SMILE technology with a FSL energy level in the range of 130–140 nJ in its effectiveness on the 1st day after surgery exceeds the previously used energy levels (150 nJ) in terms of the quality of restoration of visual functions and does not have a negative effect on other parameters of the cornea.…”
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High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach by Sunny Md. Saber, Kya Zaw Thowai, Muhammad Asifur Rahman, Md. Mehedi Hassan, A.B.M. Mainul Bari, Asif Raihan

“…Cross-validation further confirms the robustness of our ensemble model. In conclusion, this study improves predictive analytics in marine logistics by giving useful information about real-time ETA estimates. …”
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Optimization of Xanthan Gum and Sorbitol Levels in the Mycophenolate Mofetil Powder for Oral Suspension by Amin Umrani, Homa Faghihi, Zohreh Mohammadi, Parastoo Mirzabeigi, Hamed Montazeri Ghods, Ali Rastegari

“…Optimized sample composed of 16.69 g sorbitol and 68.81 mg xanthan gum. Predicted error was desirably less than 5%.  Conclusion The proposed formulation of mycophenolate mofetil powder for oral suspension with optimum amounts of xanthan gum and sorbitol has good stability. …”
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Volumetric measurement of sleep bruxism-like indentations on acrylic surface using intraoral scanner and inlay wax by Thaviporn Limrachtamorn, Teekayu Plangkoon Jorns, Supanigar Ruangsri, Rajda Chaichit, Jarin Paphangkorakit

“…The average volumetric error tended to be greater with IOSD (30.51±8.34 %) and IOSP (35.68±10.29 %) compared to that of blue inlay wax (24.87±10.29 %). …”
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Computer-assisted navigation in oral and maxillofacial surgery: A systematic review by Nourah M Alkhayatt, Hadeel H Alzahrani, Suhael Ahmed, Bassam M Alotaibi, Rayan M Alsaggaf, Abdulelah M ALAlmuaysh, Abdulrahman A Alomair

“…In addition, it decreases the surgical error margin and duration. Conclusion: Computer-assisted navigation is promising in surgical practice. …”
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Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound by Auke Jager, Marije J. Zwart, Arnoud W. Postema, Daniel L. van den Kroonenberg, Wim Zwart, Harrie P. Beerlage, J. R. Oddens, Massimo Mischi

“…Accuracy was assessed using a target-registration error (TRE) based on landmarks visible on both TRUS and pathology. …”
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LINGUISTIC AND CULTURAL ADAPTATION AND VALIDATION OF THE KUJALA QUESTIONNAIRE AMONG PATIENTS WITH PAIN IN THE ANTERIOR PART OF KNEE JOINT by I. A. Kuznetsov, S. V Maikov, M. R. Salikhov, D. A. Shulepov, A. I. Avdeev

“…Furthermore, an intermediate Russian-language version of the Kujala questionnaire was tested in 15 patients, followed by error correction and approval of its final Russian-language version. …”
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The Effect of Contextual Interference on Spatial Accuracy and Motor Reprogramming of Sequential Motor Task in People with Parkinson's Disease by Parvin Mohammadi Farsani, Hamidreza Taheri Torbati, Mehdi Sohrabi, Ali Shoeibi

“…The participants performed 180 trials (12 blocks of 15 trials) for three sequential movement tasks. The error of movement patterns performance was calculated in all stages. …”
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