Performance of dual-energy subtraction in contrast-enhanced mammography for three different manufacturers: a phantom study by Gisella Gennaro, Giulia Vatteroni, Daniela Bernardi, Francesca Caumo

“…Results On average, the CNR of LE images of CEM1 was 2.3 times higher than that of CEM2 and 2.7 times higher than that of CEM3. …”
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Integrative machine learning model for subtype identification and prognostic prediction in lung squamous cell carcinoma by Guangliang Duan, Qi Huo, Wei Ni, Fei Ding, Yuefang Ye, Tingting Tang, Huiping Dai

“…This signature outperformed 14 published signatures and clinical variables at survival prediction with the highest time-dependent AUC (tdAUC) and concordance index (C-index). …”
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Analyzing SHORE A hardness to assess the durability of soft denture lining materials by Natália Inês Gonçalves, Fernanda Zapater Pierre, Alexandre Luiz Souto Borges, João Maurício Ferraz da Silva, Eduardo Shigueyuki Uemura

“…Results: UG presented the highest hardness (39,09±2,27), followed by SC (34,36±8,52), DS (26,23±5,26) and finally TS (18,05±3,60), being that UG and TS had the smaller change in hardness between time intervals. The Repeated Measures ANOVA and Tukey’s test showed that the variables (material and time) and their interaction had differences statistically significant (p</-0.05). …”
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Clinical characteristics and surgical treatment comparison of multisegmental spinal tuberculosis: a retrospective analysis by Zongqiang Yang, Zongqiang Yang, Zhangui Gu, Zhangui Gu, Qiang Liu, Qiang Liu, Long Ma, Le Fei, Le Fei, Ningkui Niu, Ningkui Niu, Jiandang Shi

“…Statistical analyses included t-tests or Mann–Whitney U tests for continuous variables and chi-square or Fisher’s exact tests for categorical variables.ResultsThe mean follow-up duration was 63.24 ± 9.16 months for Group A and 64.05 ± 9.74 months for Group B. …”
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A secondary analysis of gait after a 4-week postural intervention for older adults with hyperkyphosis by L. C. Hughes, A. L. Ellis, H. L. Rogers, M. Hadley, R. V. Galloway

“…Pearson correlation coefficients were utilized to investigate correlations between all variables at baseline and in pre- and post intervention change values. …”
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An individualized nomogram for predicting risk of sepsis in patients with pyogenic liver abscesses: a 10 years retrospective analysis by Tiezhao Zhang, Xidong Cao, Liyong Zhang, Jinhua Cui, Jian Li, Ziyu Bai, Aijun Yu

“…The Chi-square test or Fisher’s exact test was used to test categorical variables, whereas the Student’s t-test was employed to evaluate continuous variables. …”
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Magnesium alloy composite coatings: In vitro study of cytotoxicity, adhesion, cellular structure and function by Natalya G. Plekhova, Polina A. Novikova, Ivan N. Chernenko, Aleksandra K. Stepanyugina, Olga V. Shevchenko, Valeria S. Marchenko, Andrey S. Gnedenkov, Sergey L. Sinebryukhov, Sergey V. Gnedenkov, Valentin B. Shumatov

“…Compared with copper, which had high cytotoxic activity, the values for the studied samples were significantly lower. …”
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Pre-hospital Associated Factors of Survival in Traumatic Out-of-hospital Cardiac Arrests: An 11-Year Retrospective Cohort Study by Thanakorn Laksanamapune, Chaiyaporn Yuksen, Natthaphong Thiamdao

“…The high accident rates and variability in prehospital management in Thailand further complicate TOHCA treatment. …”
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Nomogram model of mortality risk in patients with chronic obstructive pulmonary disease in intensive care unit: based on MIMIC-IV database and external validation study by Yikun Guo, Yikun Guo, Chen Zuo, Chen Zuo, Jun Yan, Chengjun Ban

“…Among these factors, ventilator time was a protective factor, while the remaining six factors were independent risk factors. …”
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Smartphone overuse and distraction: which relationship with general well-being across different generations? by Diego Bellini, Maria Lidia Mascia, Rachele Conti, Maria Pietronilla Penna

“…Analyses were conducted using ANOVA, correlations, and hierarchical regression to explore the relationships between these variables. Generational groups and weekly time spent on online activities were included as control variables in the hierarchical regression analysis. …”
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Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks by Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang

“…Based on the results of the global sensitivity analysis, the influence of longitudinal and lateral forces on sensitive response variables in their respective sensitive response areas was examined, and characteristic values of the corresponding response signal curves were analyzed and extracted. …”
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Multi-model statistical approaches for assessing the stability of Cicer interspecific derivatives in the trans and upper gangetic regions of India by Amool Singh Vadithya, Shayla Bindra, Narinder Sharma, Satish Kumar Sanwal, Shanmugavadivel P. S, Inderjit Singh, Chellapilla Bharadwaj, Mohar Singh

“…Genotypes GL21-1 (G1) and GL21-54 (G8) were superior performers with high trait values and stable performance across all environments, with yield variability up to 20% under stress-prone conditions. …”
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Análisis de la frecuencia cardíaca en el pádel femenino amateur (Analysis of heart rate in amateur female padel) by José Antonio Carbonell Martínez, Juan Ferrándiz Moreno, Norberto Pascual Verdú

“…Para ello, hemos tenido en cuenta las variables de FC máxima y FC media de cada set y de cada bloque de 5 juegos disputados. …”
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Who freezes her eggs and why? psychological predictors, reasons, and outcomes of social egg freezing by Julia Jeannine Schmid, Seraina Weber, Ulrike Ehlert

“…Conclusion SEF users might be characterized as mainly single, career-oriented, and greatly valuing genetic motherhood. As the motives for SEF, rather than its use per se, might be linked to psychological variables, these should be considered when counseling and supporting women.…”
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A New Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Türkiye by Ulubey Çeken, Fadime Sertçelik, Abdullah İçen

“…Our model is valid for magnitudes ranging from 4.0 to 7.8 (<i>M_W</i>), and for the time-averaged 30 m shear wave velocity (<i>V_S</i>₃₀) values of 975 stations, which ranged from 131 to 1862 m/s. …”
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From awareness to action: investigating the impact of big-five teamwork model awareness on rationing of nursing care and patient-centered care by Heba Mohamed Al-Anwer Ali Ashour, Ebtsam Aly Omer Abou Hashish, Nadia Hassan Ali Awad

“…However, the significant demands on their time and resources often lead to the rationing or omission of essential nursing care activities, undermining patient outcomes. …”
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Efecto del sexo del ternero sobre el comportamiento productivo y reproductivo de la raza bovina colombiana Lucerna by Manrique P. Luis Phanor, Queiroz Augusto C. de, Cardoso Roberto M., Fonseca Francisco A.

“…On the other hand, for reproductive variables, analyses showed that the sex of sucklings of Lucerna cows had statistically significant effects on the duration of the rest or dry period, which were determined by average values of 101 days os duration when the sucking's sex was male, and 94 days when it was female. …”
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Corporate Governance and Financial Performance of Savings and Credit Cooperative Societies in Uganda. A Case of Kiruhura District by Kyabarongo, Benon

“…Data analysis was done using descriptive statistics by SPSS version 25.0 for procedures concerning the initial assessment through multicollinearity check, calculation of mean and standard deviation, and checking management of outliers and missing values. The following SEM using Jaffrey’s Amazing Statistical Program (JASP) version 0.17.2.0 was then applied to investigating the relationship amongst the variables in the conceptual model. …”
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Dynamics of automated body condition scores in grazing Holstein cows in a year-round calving system by C. Hernández-Gotelli, R. Pommiez, F. Aceituno, P. Pinedo

“…Greater values at milk peak were associated with lower nBCS only in multiparous cows during the late spring period. …”
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Predicting mortality in intensive care unit patients with acute pancreatitis using an interpretable machine learning model by Li Zhuangli, Li Zhuangli, Zhang Xingcheng, Zhang Xiaoli, Lu Zhonghua, Sun Yun

“…BackgroundAcute pancreatitis (AP) in the intensive care unit (ICU) is linked to elevated in-hospital mortality rates. Timely identification of high-risk patients remains challenging. …”
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