Internal validation of self-reported case numbers in hospital quality reports: preparing secondary data for health services research by Limei Ji, Max Geraedts, Werner de Cruppé

“…The validation process checked the validity of reported MCR caseloads, including data availability and consistency, by comparing the stated MCR caseload with further variables in the GHQR. Subsequently, implausible MCR caseload values were corrected using the most plausible values given in the same GHQR. …”
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Maternal outcomes of severe preeclampsia and eclampsia and associated factors among women admitted at referral hospitals of amhara regional state, institutional-based cross-section... by Misganaw Fikrie Melesse, Getie Lake Aynalem, Martha Berta Badi, Bewket Yeserah Aynalem

“…The following variables had statistically significant associations with unfavorable maternal outcomes of severe preeclampsia and eclampsia: educational status (AOR = 4.5, 95% CI: 1.95, 12.31), residence (AOR = 2.1, 95% CI: 1.17, 3.72), monthly family income (AOR = 2.7, 95% CI: 1.25, 6.12), parity (AOR = 6.7, 95% CI: 1.55, 12.6), history of abortion (AOR = 3.5, 95% CI: 1.63, 7.58), booking status (AOR = 5.8, 95% CI: 3.15, 9.72), and time of drug given (AOR = 4.9, 95% CI: 1.86, 13.22).ConclusionIt was discovered that severe preeclampsia and eclampsia had a high overall rate of unfavorable maternal outcomes. …”
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Entrepreneurial (re)orientation in the face of crisis: Is it worth modifying entrepreneurial strategy? by Marcin Suder

“…This innovative approach considers dynamics where the changes themselves are variables. In particular, this research identifies types of entrepreneurial reactions to market condition changes in terms of dimensions of entrepreneurial orientation. …”
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Plasma ferritin, C-reactive protein, and adenosine deaminase levels in tuberculous lymphadenitis and pleuritis and their role in monitoring treatment response by Zaib un Nisa, Basit Zeshan, Atiqa Ambreen, Tehmina Mustafa

“…A Chi-square test was used for categorical variables. A p-value < 0.05 was considered statistically significant. …”
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Sustainable valorization of yellow cherry juice using natural propolis and non-thermal techniques by Seydi Yıkmış, Melikenur Türkol, Nazan Tokatlı Demirok, Nazlı Tokatlı, Ezgi Rüzgar, Isam A. Mohamed Ahmed, Moneera O. Aljobair

“…Temperature (40–50°C), time (4–10 min), amplitude (40–80%) and propolis concentration (40–80 mg/100 mL) were optimized as independent variables using response surface methodology (RSM). …”
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Establishing the relationships between obesity and genetically predicted serum micronutrient levels: a multivariable Mendelian randomization analysis by Rui Zhou, Yanxiang Zhang, Jiazhi Wang, Huacong Huang, Tianyou Liao, Weisheng Lai, Yongle Ju, Manzhao Ouyang

“…Methods Single nucleotide polymorphisms (SNPs) significantly associated with 15 micronutrients (selenium, zinc, copper, calcium, beta-carotene, folate, iron, magnesium, potassium, and vitamins A, B6, B12, C, D, and E) from published genome-wide association studies (GWAS) were used as instrumental variables (IVs). Three obesity-related datasets were obtained from the GWAS. …”
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Investigation into the prognostic factors of early recurrence and progression in previously untreated diffuse large B-cell lymphoma and a statistical prediction model for POD12 by Ke Lian, Wenyao Zhu, Zhihui Hu, Fang Su, CaiXia Xu, Hui Wang

“…A prediction method for the characteristic variables of POD12 risk is proposed using the CNN-LSTM deep learning model based on chaotic time series. …”
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Temperature-dependent compressive strength modeling of geopolymer blocks utilizing glass powder and steel slag by Supriya Janga, Ashwin Raut, Alireza Bahrami, T. Vamsi Nagaraju, Sridevi Bonthu

“…The SS content varied between 30 % and 40 %, while the molarity of NaOH was set at 10 M, 12 M, and 14 M. Based on these variables, a total of eighteen mixes incorporating GP and SS were formulated. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Such low MSE values together with high R² values demonstrate the exceptionally high accuracy of the developed models. …”
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Prevalence and factors associated with low 5th minute APGAR score among mothers who birth through emergency cesarean section: prospective cross-sectional study in Ethiopia by Temesgen tantu, Tayech tantu, Yohanna Hailu, Dereje Gashaw, Biruk Melkamu

“…The association between independent variables and the 5th minute APGAR was estimated using an odds ratio with 95% confidence intervals. …”
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Prevalence, risk factors, and outcomes of malnutrition in older adults hospitalized with community-acquired pneumonia: a retrospective study by Xiao-lu Zheng, Xing Zhang, Jia-hui Yuan, Lu-tian Yi

“…Univariate and multivariate logistic regression analyses were used for variables of interest. The receiver operating characteristic curve was applied to evaluate the risk factors.ResultsA total of 511 eligible patients were included in this study. …”
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Factors associated with beliefs and implementation of evidence-based practice among nurses: a cross-sectional study by Manisha Mehra, C. Bellson Raj, Rimple Sharma, Anuj Singh, Surya Kant Tiwari

“…Factors positively correlated with implementation were resource beliefs (r = 0.155, p = 0.021), EBP value beliefs (r = 0.140, p = 0.038), and difficulty/time beliefs (r = 0.158, p = 0.019). …”
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Predictors of sepsis in trauma patients: a National Trauma Data Bank analysis by Ralphe Bou Chebl, Joudie Sahar Alwan, Mounay Bakkar, Saadeddine Haidar, Rana Bachir, Mazen El Sayed, Gilbert Abou Dagher

“…Logistic regression analysis was used to identify risk factors, considering patient demographics, injury characteristics, and clinical variables.ResultsAmong 997,970 trauma patients in the 2017 NTDB, 296,974 were excluded, leaving 700,996 patients for analysis, with 2,297 developing sepsis. …”
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Effective treatment of hydroplasty injections and immediate physical therapy for glenohumeral adhesive capsulitis: a retrospective clinical analysis by Austin J. Koenig, BA, Evan P. Shoemaker, BA, Rebecca Stone McGaver, MS, ATC, Ayush D. Shah, BA, James A. Palmer, DPT, Allan F. Hunt, MD

“…These ROMs were again checked at the end of the patients' PT regimen. Variables recorded included demographics, autoimmune and/or thyroid disorders, diabetes, and smoking status. …”
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Magnitude of mortality and associated factors among road traffic accident victim children admitted in East and West Gojjam Zone specialized public hospitals Northwest, Ethiopia by Amanuel Taye, Tilksew Ayalew, Balew Zeleke, Agegnehu Bante, Addisu Endale

“…Bivariate and multivariable binary logistic regression analyses were conducted to identify the association between dependent and independent variables. An adjusted odds ratio with a 95% CI was used to measure the strength of the association, and a P-value ≤ 0.05 was considered statistically significant. …”
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Prevalence of premenstrual syndrome among students and the association of social media addiction with its severity in Hamadan: a cross-sectional study by Seyedeh Fatemeh Mousavi, Samaneh Goudarz, Azin Latifi, Sima Fazli, Farideh Kazemi, Seyedeh Zahra Masoumi, Mansoureh Refaei

“…Additionally, the findings demonstrated a significant correlation between increased dependence on social media and a higher incidence of PMS, with this upward trend achieving statistical significance (Chi-square for trend = 10.13, p-value = 0.001). Furthermore, multivariate logistic regression analysis revealed that, after controlling for potential confounding variables, the adjusted odds ratio (AOR) for PMS in students with severe SMA was 5.35 times greater than that of students with mild SMA (p = 0.001). …”
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Tensor-based analysis of eclectic-reported crowd accidents: An innovative retrospective methodology design study by Dóra Edelmann, Arnold Őszi, Tibor Goda

“…The analysis considered the following variables: event type, place, date, number of victims, cause, environmental characteristics, date and reliability of documented information source origination. …”
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Multi-Sensor Fusion and Machine Learning for Forest Age Mapping in Southeastern Tibet by Zelong Chi, Kaipeng Xu

“…For undisturbed forests, we compared 12 machine-learning models and selected the Random Forest model for age prediction. The input variables include multiscale satellite spectral bands (Sentinel-2 MSI, Landsat series, PROBA-V, MOD09A1), vegetation parameter products (canopy height, productivity), data from the Global Ecosystem Dynamics Investigation (GEDI), multi-band SAR data (C/L), vegetation indices (e.g., NDVI, LAI, FPAR), and environmental factors (climate seasonality, topography). …”
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A prediction model for 30-day mortality in patients with ARDS admitted to the intensive care unit by Fengjuan Jia, Guodong Xia, Lirong Hu, Fanjie Zhang, Yuexi Huang, Chaobing Yang, Li Liu, Xianying Lei

“…After processing these data, we performed correlation analysis between various types of variables and plotted a heat map to visualize the significance of these correlations. …”
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Cost–benefit analysis of mammography screening: the perspective of Nigerian healthcare providers by Obinna Ikechukwu Ekwunife, Ifeoma Jovita Nduka, Ifeoma Blessing Umeh, Chukwudi Victor Okafor, Daniel Orih, Sunday Odunke Nduka

“…Binary logistic regression was used to assess predictors of WTP acceptance while multiple linear regression was used to model the relationship between the independent variables and WTP amount. The cost of mammography was estimated from the healthcare provider’s perspective. …”
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