Parents' Attitudes Toward COVID-19 Vaccination for School Children in Jordan by Ahlam Abo Zaid, Mohammad Mahmoud Suliman, Mohammed ALBashtawy, Wafa' Ta’an, Mean Aljezawi, Asem Abdalrahim, Abdullah Alkhawaldeh

“…Marital status emerged as a significant factor, with widowed parents exhibiting a more favorable attitude (p<0.05). Conclusion: Parents in Jordan are hesitant about COVID-19 vaccination for their school-aged children. …”
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Harmonizing measurement tools: examining the concurrent validity of the Daily Activity Behaviors Questionnaire compared to the ActiGraph to assess 24-hour movement behaviors among... by Iris Willems, Vera Verbestel, Dorothea Dumuid, Patrick Calders, Bruno Lapauw, Marieke De Craemer

“…Intraclass correlations (95% confidence intervals), Bland-Altman plots, Spearman’s correlations and the magnitude of error were calculated to estimate the absolute agreement and validity. …”
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Acute peritoneal dialysis in neonatal intensive care unit: An 8-year experience of a referral hospital by Aslihan Kara, Metin Kaya Gurgoze, Mustafa Aydin, Erdal Taskin, Unal Bakal, Aysen Orman

“…Results: The primary causes for requiring APD were acute tubular necrosis (n = 36, 69.2%), inborn error of metabolism (n = 10, 19.2%), congenital nephrotic syndrome (n = 2, 3.9%), bilateral polycystic kidney (n = 2, 3.9%), renal agenesis (n = 1, 1.9%), and obstructive uropathy (n = 1, 1.9%). …”
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[Comment] Long term oncological outcomes for laparoscopic versus open surgery for rectal cancer-a population-based na tionwide noninferiority study by Tang Bin

“…A noninferiority study design was employed with a statistical power of 90%, a one-side type I error of 2.5% and a noninferiority margin of 2%. …”
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Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach by Ling Zhang, Ruigang Wei, Jingwen Zhou, Lin Tan, Xiaolong Che, Minqinag Zhang, Xiaoyue Ning, Zhiliang Zhong

“…Results The LSTM model effectively predicted depression-related variables (mean square error = 0.067). The average AUC of the five ML models ranged from 0.78 to 0.82. …”
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Cytochrome P450 2J2*7 Single-nucleotide Polymorphism and Nocturnal Hypertension in an Elderly Turkish Population by Elif Hilal Vural, Arzu Güneş Granberg, Atiye Çengel, Marja-Liisa Dahl, Hakan Zengil

“…The systolic blood pressure morning increase slope values of the CYP2J2*7 carriers and GG genotype group were 8.6±2.0 (mean ± standard error of mean) and 5.7±0.5, respectively, i.e., 50.7% higher in T-carriers (p=0.039). …”
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USE OF TRIANGULAR MODELS OF NON-STATIONARY PROCESSES IN MODELING VARIABILITY OF HEART RHYTHM by Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi

“…The identities of modeling results were checked on time samples of electrocardiographs of 7 patients from open PhysioNet cardiographic libraries on samples with the duration T = 10 s. 3) The standard low-frequency oscillations and "white noise" barrier are clearly differentiated on the applied correlation function by the distribution of spectral density power within the frequency range of 0,15–0,3 Hz. Conclusion. The simulation results confirmed the correctness of the theoretical conclusions about the possibility of using models based on the representation of non-stationary processes in a triangular Hilbert space.…”
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Design and Psychometric Evaluation of a Questionnaire to Assess Nursing and Midwifery Students’ Attitudes and Performance towards Online Exams and Its Relationship with Academic Ac... by Zohre Abbaszade Molaei, Aeen Mohammadi, Manijeh Hooshmandja

“…There was a significant difference between male and female groups, BSc. and MSc. nursing and midwifery students, and semester of study. Conclusion: The tool for measuring students’ attitudes and performance towards electronic exams has acceptable validity and reliability. …”
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The association between a vegetarian diet and cardiovascular disease (CVD) risk factors in India: the Indian Migration Study. by Krithiga Shridhar, Preet Kaur Dhillon, Liza Bowen, Sanjay Kinra, Ankalmadugu Venkatsubbareddy Bharathi, Dorairaj Prabhakaran, Kolli Srinath Reddy, Shah Ebrahim, Indian Migration Study Group

“…Using robust standard error multivariate linear regression models, we investigated the association of vegetarian diets with blood cholesterol, low density lipoprotein (LDL), high density lipoprotein (HDL), triglycerides, fasting blood glucose (FBG), systolic (SBP) and diastolic blood pressure (DBP).…”
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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…The random forest regression model constructed achieved MSE, R2_score, PLCC, SRCC, and KRCC values of 0.2001, 0.6695, 0.8682, 0.8694, 0.7363, respectively, on the testing set.Conclusion: This study successfully developed an interpretable machine learning-based model for the objective assessment of CTPA image quality. …”
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Socioeconomic inequality in undernutrition among late female adolescent in sub-Saharan African countries: a decomposition analysis by Ever Siyoum Shewarega, Tsion Mulat Tebeje, Makida Berhan Alem, Mulugeta Lulie Assres, Elsa Awoke Fentie

“…Results The weighted Erreygers normalized concentration index for undernutrition was − 0.070 with Standard error = 0.0053 (P value < 0.0001); this revealed that undernutrition was disproportionately concentrated among the poor (pro-poor). …”
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A study on estimation of fetal weight in term of pregnancy by clinical method and USG and comparison with actual birth weight by Rema V Nair, Sowbharnika CP, Nadiya Hameed Farooq, Raagavi Sri S

“…USG estimated fetal weight was noted to be closer to actual birth weight. Conclusion: In this study, fetal weight estimated by clinical method of USG was compared with actual birth weight. …”
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Predictability of maxillary canine retraction comparing power arm and non-power arm using 24 sets of In-house clear aligner in premolar extraction case: a randomized controlled tri... by Sawitt Eurutairat, Natnicha Vongtiang, Sakda Wonghinkong, Somchai Manopatanakul, Peerapong Santiwong, Nita Viwattanatipa

“…Regarding the first molar, the RMSE of PA was mostly similar to that of the control. Conclusion IHCA can effectively retract maxillary canines in cases involving premolar extraction. …”
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Clinical usefulness of hemoencephalography beyond the neurofeedback by Serra-Sala M, Timoneda-Gallart C, Pérez-Álvarez F

“…Methods: The HEG patterns of 70 university students (56 women and 14 men, 21&amp;ndash;48&amp;nbsp;years old, mean 31.84, SD 10.65, standard error of mean 0.31) were compared with those of 59 adolescents &amp;ndash; 13&amp;ndash;14-year-old secondary education students, 28 females and 31 males. …”
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Predictive analysis of dominant hand grip strength among young children aged 6–15 years using machine learning techniques: a decision tree and regression analysis by Mastour Saeed Alshahrani, Resmi Ann Thomas, Paul Silvian Samuel, Venkata Nagaraj Kakaraparthi, Ravi Shankar Reddy, Snehil Dixit

“…This model predicted 66.46% of the variance in handgrip strength among the girls.ConclusionAnthropometric factors played a significant role in hand grip strength. …”
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Transporting trial results to synthetic real-world populations in order to estimate real-world effectiveness of newly marketed medicines by Walter E Haefeli, Ignacio Leiva-Escobar, Camilo Scherkl, Andreas D Meid

“…BC survival rates were very similar between observed and synthetic data (prediction error in absolute survival rates: 1.62%).Conclusion Combining G&amp;T with synthetic data may inform decision-making in situations where RWD are not (yet) available.…”
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Incident reporting and harmful safety events during the COVID-19 pandemic in a children’s hospital by Ashley N. Bonheur, Kaitlyn Philips, Patricia Hametz, Jaeun Choi, Xianhong Xie, Sara H. Soshnick, Michael D. Cabana, Gina Cassel-Choudhury

“…There was no significant difference in the rate of reported harmful safety events between the two time periods (0.36 events/100 patient days vs. 0.39 events/100 patient days). Conclusion A resilient safety infrastructure is essential during a pandemic when risk for medical error is high and patient safety is potentially vulnerable. …”
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Predicting mechanical ventilation duration in ICU patients: A data-driven machine learning approach for clinical decision-making by Shivi Mendiratta, Vinay Gandhi Mukkelli, Esha Baidya Kayal, Puneet Khanna, Amit Mehndiratta

“…Key predictors included ICU admission type (8.1%), PO 2 (5.6%), and pH (5%). Conclusion AI-driven prediction of ventilation duration can enhance ICU workflows, optimize resource use, and improve personalized care. …”
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Predictive value of triglyceride， glycosylated hemoglobin and their interactions on gestational diabetes mellitus by BAO Zichao, TAO Cheng, Chen Dianchen

“…The nomogram model was constructed according to the seven factors screened by logistic regression analysis, and the average absolute error between the predicted probability by the nomogram model and actual probability of the occurrence of GDM was 0.039. …”
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Mental health symptoms in electronic football players by Vincent Gouttebarge, Evert Verhagen, João Brito, Pedro Figueiredo, Ana Monteiro Pereira, Pedro Teques

“…Maladaptive coping strategies were related to sleep disturbance, alcohol consumption and poor eating habits, whereas adaptive coping strategies were associated with less sleep disturbance, reduced alcohol consumption and better eating habits.Conclusion An integrative approach to help electronic football players when early signs of distress are present might help avoid other mental health symptoms that interfere with players’ well-being and overall health. …”
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