Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients by Xiaoyan Yin, Yongbin Cui, Tonghai Liu, Zhenjiang Li, Huiling Liu, Xingmin Ma, Xue Sha, Changsheng Ma, Dali Han, Yong Yin

“…The radiomics model’s AUC values in training and validation cohort are 0.71,0.69. …”
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New Perspectives on the Causes of Stagnation and Decline in the Sharing Economy: Application of the Hybrid Multi-Attribute Decision-Making Method by Hsu-Hua Lee, Chien-Hua Chen, Ling-Ya Kao, Wen-Tsung Wu, Chu-Hung Liu

“…Through the D&ANP method, influential weights are calculated and combined with industry-specific assessments of the suitability of potential causes (or attributes) contributing to economic stagnation and recession to determine the average performance values for each industry. These values are further compared with benchmark suitability performance values to distinguish ideal and non-ideal conditions across industries facing economic stagnation and recession. …”
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Gender differences in L1 vertebral strength in adults 50+ using automated CT-based finite element analysis by Hsiang-Ho Chen, Chieh-Wei Wu, Yen Cheng, Mao-Chieh Su, Yu-Jhen Chen, Po-Liang Lai

“…However, its modeling complexity and high computational time requirements pose challenges. This study aims to develop customized MATLAB programs to automate the creation of heterogeneous bone models, streamlining preprocessing to reduce time, computational costs, and minimize variability from manual processes. …”
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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

“…Four machine learning models were developed using this signature, achieving tdAUC values of 0.712 and 0.684 and C-index values of 0.682 and 0.625 in the independent testing sets. …”
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The relationship between maternal oral health parameters, inflammatory blood markers, and the evaluation of their effects on preterm low birth weight by Isa Temur, Katibe Tugce Temur, Safak Necati Dönertas, Aycan Dal Dönertas, Mustafa Kacmaz

“…Results The case group showed significantly higher oral health indices than the control group, with median DMFT scores of 7.14 vs. 4.74 (p = 0.013), DMFS scores of 20.58 vs. 12.08 (p = 0.026), PI values of 1.96 vs. 1.18, GI values of 2.03 vs. 1.20, and PD values of 2.61 mm vs. 2.00 mm (all p < 0.001). …”
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The music that new generations listen to: preferences and stereotypes by Roberto Cremades Andreu, Carlos Lage Gómez, Arantza Campollo Urkiza, David Hargreaves

“…Thus, the aim of this article is to evaluate how their musical preferences are structured and what differences exist by gender and age range, as well as studying what stereotypes they associate with the styles they listen to most in comparison with these variables. …”
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Development and validation of a clinical prediction model for Clostridioides difficile associated diarrhea by Ruiying Zheng, Hewei Luan, Jun Zhou, Zhixin Shi, Xin Hong, Lei Huang, Genyan Liu

“… Introduction: The aim of this study was to develop and validate a clinical prediction model for Clostridioides difficile associated diarrhea (CDAD) based on routine laboratory tests. …”
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Measurement of Wheel Skidding on Racing Wheelchairs by Nolwenn Poquerusse, Arnaud Hays, Aurélie Cortial, Opale Vigié, Ilona Alberca, Mathieu Deves, Lorian Honnorat, Safiya Noury, Bruno Watier, Arnaud Faupin

“…This tool characterizes a tire’s grip on a surface by measuring torques. The aim is to develop a system for classifying tire grip on dry athletics track at ambient temperature. …”
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Evaluation of Diaphragmatic Ultrasound in Respiratory Functional Assessment in Patients with ALS by Miguel Iglesias, Juan Alejandro Cascón, Andrés Maimó, Antonio Albaladejo, Felipe Andreo, Ana Sánchez Fernández, María Maciá Palazón, Isabel Martínez González-Posada, Ruth García García, Rosa Cordovilla

“…At three-monthly visits, participants underwent both diaphragmatic ultrasound and pulmonary function testing. The following variables were analyzed: withdrawal from this study due to NIV or death, excursion, velocity, thickness, thickening fraction, and spirometric and respiratory muscle function values. …”
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Ground Measurements and Remote Sensing Modeling of Gross Primary Productivity and Water Use Efficiency in Almond Agroecosystems by Clara Gabaldón-Leal, Álvaro Sánchez-Virosta, Carolina Doña, José González-Piqueras, Juan Manuel Sánchez, Ramón López-Urrea

“…Maximum carbon-fixing values were observed at ET values of around 4–5 mm/d. …”
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Cluster sets lead to better performance maintenance and minimize training-induced fatigue than traditional sets by José Antonio Páez-Maldonado, José Antonio Páez-Maldonado, Pedro Jesús Cornejo-Daza, Pedro Jesús Cornejo-Daza, Pedro Jesús Cornejo-Daza, Juan Sánchez-Valdepeñas, Juan Sánchez-Valdepeñas, Miguel Sánchez-Moreno, Miguel Sánchez-Moreno, Francisco Piqueras-Sanchiz, Manuel Ortega-Becerra, Manuel Ortega-Becerra, Fernando Pareja-Blanco, Fernando Pareja-Blanco

“…Repeated measured ANOVA analyses were used to compare the 3 protocols.ResultsAs the number of intraset rests increased (TS &lt; CS6 &lt; CS2), mechanical performance was better maintained (p &lt; 0.01) and EMG variables were less altered (p = 0.05). At post, CS2 and CS6 displayed lower lactate concentration, lesser reductions in CMJ height, and smaller alterations in TMG-derived variables than TS (p &lt; 0.05).ConclusionThe introduction of short and frequent intraset rest periods during resistance exercise alleviates training-induced fatigue, resulting in better maintenance of performance. …”
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Low Serological Agreement of Hepatitis E in Immunocompromised Cancer Patients: A Comparative Study of Three Anti-HEV Assays by Isabel-Elena Haller, Mark Reinwald, Janine Kah, Franz A. M. Eggert, Sandra Schwarzlose-Schwarck, Kristoph Jahnke, Stefan Lüth, Werner Dammermann

“…Concordance was poor, with Cohen’s Kappa values indicating slight to moderate agreement (κ = 0.000–0.553). …”
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Effect of Glycated Haemoglobin (HBA1c) on Cardiorespiratory Fitness (CRF) in a Population with Type 2 Diabetes Mellitus (T2DM): A Cross-Sectional Study by Snehil Dixit, Daniela Bassi-Dibai, Almir Vieira Dibai-Filho, Renata G. Mendes, Abdulfattah S. Alqahtani, Mohammed M. Alshehri, Monira I. Aldhahi, Batool Abdulelah Alkhamis, Ravi Shankar Reddy, Jaya Shanker Tedla, Audrey Borghi-Silva

“…Linear regression was used to examine the influence of predictor variables on dependent variables. <i>Results:</i> A total of 70 patients agreed to participate in the study, with 19 females and 51 males. …”
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Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil by Rafael Felippe Ratke, Paulo Roberto Nunes Viana, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Carlos Eduardo da Silva Santos, Alan Mario Zuffo, Jorge González Aguilera

“…The combination of multispectral data and machine learning provides effective and flexible monitoring of the soil nutrient content, which consequently positively impacts plant productivity and food security, and ultimately promotes sustainable agricultural development overall. The aim of this study was to investigate the associations between spectral variables and soil physicochemical attributes, as well as to predict these attributes using spectral variables as inputs in machine learning models. …”
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Evaluation of the Risk of Clinical Deterioration among Inpatients with COVID-19 by Víctor O. Costa, Eveline M. Nicolini, Bruna M. A. da Costa, Fabrício M. Teixeira, Júlia P. Ferreira, Marcos A. Moura, Jorge Montessi, Rogério L. Campos, Andrea N. Guaraldo, Patrícia M. Costa

“…Mann–Whitney U test was taken for continuous variables and the chi-square test or Fisher’s exact test for categorical variables. …”
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The hidden risk factors behind of suicidal behavior in medical students: a cross-sectional cohort study in Mexico by Margarita L. Martinez-Fierro, Jorge R. Reyes-Hurtado, Anayantzin E. Ayala-Haro, Lorena Avila-Carrasco, Leticia A. Ramirez-Hernandez, Georgina Lozano-Razo, Javier Zavala-Rayas, Sodel Vazquez-Reyes, Alejandro Mauricio-Gonzalez, Perla Velasco-Elizondo, Vladimir Juarez-Alcala, Ricardo Flores-Vazquez, Ivan Delgado-Enciso, Iram P. Rodriguez-Sanchez, Idalia Garza-Veloz

“…Univariate and multivariate analyses were performed to examine the associations between the study variables and suicidal behavior.ResultsSuicidal behavior was associated with the following variables: female sex, non-heterosexual orientation, history of psychiatric illness, childhood trauma, bullying, symptoms suggestive of attention-deficit/hyperactivity disorder (ADHD), and contexts of substance use such as unpleasant emotions (p &lt;0.05). …”
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A novel scoring model for predicting prolonged mechanical ventilation in cardiac surgery patients: development and validation by Quan Liu, Quan Liu, Pengfei Chen, Wuwei Wang, Yifei Zhou, Yifei Zhou, Yichen Xu, Xu Cao, Rui Fan, Wen Chen, Fuhua Huang, Xin Chen, Xin Chen

“…Predictive variables were selected based on clinical expertise and prior literature, and a nomogram was developed using LASSO regression and multiple logistic regression. …”
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Clinical calculator based on clinicopathological characteristics predicts local recurrence and overall survival following radical resection of stage II-III colorectal cancer by Fei Huang, Ran Wei, Shiwen Mei, Tixian Xiao, Wei Zhao, Zhaoxu Zheng, Qian Liu

“…Discrimination was measured with an area under curve (AUC) and variability in individual predictions was assessed with calibration curves. …”
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Relación entre funcionalidad motriz y factores antropométricos de riesgo cardio metabólico en bomberos de la región de Valparaíso, Chile (Relationship between motor functionality... by Fernando Barraza - Gómez, Carolina Rodriguez - Canales, Matias Henriquez - Valenzuela, Gernot Hecht-Chau, Ildefonso Alvear- Órdenes

“…Resultados: Para las mujeres se reportaron correlaciones bajas entre el FMS y las variables antropométricas de RC, mientras que para los hombres estas correlaciones fueron significativas y negativas entre FMS y las variables PC, ICE e IMC (r = -,37, p < ,001; r = -,34, p < ,001; –-,40, p < ,002), respectivamente. …”
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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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