Analysis of factors associated with intercostal neuralgia after osteoporotic thoracic spine fracture and construction of a prediction model by Zhen-Gang Liu, Fan Yang, Peng-fu Li, Qi Song, Gao Wang, Bo-Yin Zhang

“…Subsequently, the above associated variables were screened using univariate and multivariate logistic regression models to obtain associated factors. …”
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Comparison of WHO Growth Standards with 2019 Indian Synthetic Growth Charts in Children under Five Years of Age: A Cross-sectional Study from Rural Area of Karnataka, India by Shalini Yadhav, AS Jagadish, R Premalatha, B Ravichander

“…A paired t-test was used to compare the mean values between variables, while McNemar’s test was used to compare the proportions for the variables. …”
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Comparing the Efficiency of Sediment Rating Curve and ANN Models in Estimating River Bed-load by Jamal Mosaffaie, Amin Saleh pourjam, Mahmudreza Tabatabaei

“…Finally, the estimations of two models were compared with observed values using correlation coefficient and RMSE indices. …”
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Orthotopic meningioma rat model exhibits morphological and immunohistochemical congruency and epigenetic concordance with benign primary patient-derived tumors by Mikkel Schou Andersen, Bo Halle, Martin Wirenfeldt, Jeanette Krogh Petersen, Morten Winkler Møller, Philipp Jurmeister, Birgitte Brinkmann Olsen, Bjarne Winther Kristensen, Henning Boldt, Christian Bonde Pedersen, Tiit Mathiesen, Frantz Rom Poulsen

“…Hence, there is a need for meningioma models with high translational value for understanding pathophysiology and tests of possible medical treatments. …”
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Identifying Predictors of Mortality in Sepsis Patients with Malignancy: A Retrospective Cohort Study by Leonard Nainggolan, Rido Prama Eled, Ikhwan Rinaldi, Cleopas Martin Rumende, Chyntia Olivia Maurine Jasirwan, Suryo Anggoro Kusumo Wibowo, Robert Sinto, Khie Chen Lie

“…A bivariate analysis was carried out and followed by a logistic regression analysis on variables with p-value<0.25 on the bivariate analysis. …”
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Development and Validation of the Self-Perceived Anhedonia Scale for Adults: A Novel Tool for Assessing Pleasure Deficits by Oana Alina Apostol, Ioana Elena Cioca, Maria-Veronica Morcov, Corina Sporea, Cristian-Gabriel Morcov, Angelo Pellegrini, Elena-Nicoleta Bordea

“…The reliability of the scale was further supported by high Cronbach’s Alpha values for each subscale, with social anhedonia showing an exceptional value of 0.916, followed by emotional (0.905), cognitive (0.900), and physical (0.873) anhedonia. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…This is the first worldwide study proving the accuracy of a ML model for differentiation of motility patterns in HR-ARM, demonstrating the value of artificial intelligence models in optimizing HR-ARM availability while reducing interobserver variability and increasing accuracy.…”
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Biophysical, Spatial, Functional, and Constructive Analysis of the Pre-Hispanic Terraces of the Ancient City of Pisaq, Cusco, Peru, 2024 by Francis Huaman, Doris Esenarro, Jesus Prado Meza, Jesica Vilchez Cairo, Carlos Vargas Beltran, Crayla Alfaro Aucca, Cecilia Arriola, Valeria Peña Calle

“…The aim of the research is to examine the biophysical, spatial, functional, and structural components of the pre-Hispanic terracing systems located in the ancient city of Pisaq, considering the impacts of tourism, geological instability, and cultural loss on the ecological and economic value of the terracing system. …”
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Predicting and preventing sudden cardiac death in myocardial infarction patients by S. A. Boldueva, A. V. Shabrov, D. S. Lebedev, T. Ya. Burak, I. A. Leonova, M. V. Samokhvalova, V. S. Zhuk, E. G. Bykova

“…Aim. To investigate sudden cardiac death (SCD) predictors in patients after myocardial infarction (MI), to develop the strategy of risk stratification and SCD prevention.Material and methods. …”
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Genetic diversity and population structure of cowpea mutant collection using SSR and ISSR molecular markers by Sara Diallo, François Abaye Badiane, Badji-N’Poneh Ange Kabkia, Issa Diédhiou, Made Diouf, Diaga Diouf

“…Therefore, this study aimed to evaluate the genetic variability of 33 cowpea mutant collections using 20 SSR and 13 ISSR markers. …”
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Biological variation in serum thyroid, iron metabolism, and plasma bone metabolism biomarkers in patients with type 2 diabetes mellitus by Xia Wang, Mei Zhang, Zhi Liu, Chuan Li, Yujue Li, Hengjian Huang, He He, Xijie Yu

“…ObjectivesVariability in biomarkers is crucial for clinical decision-making in individuals with type 2 diabetes mellitus (T2DM). …”
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Characteristics of hypertension and its impact on cognitive functions in older adults: a cross-sectional study by Nivedita Parandiyal, Porimita Chutia, Shashank Saurabh Sinha, Pratyaksha Pandit, Naif Ali Majrashi, Naseem Qureshi, Shailendra Mohan Tripathi, Shailendra Mohan Tripathi

“…BackgroundHypertension is a potentially modifiable risk factor for cognitive decline. Understanding the variables of hypertension related to cognitive functions will help in mitigating the risk.ObjectiveThe study aims to assess the characteristics of hypertension and its effect on cognitive functions in the older adults.MethodsThe study involved 95 hypertensive participants aged 60 years and above from cardiology and medicine outpatient services of a tertiary care hospital from August to October 2022. …”
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Beekeepers' intentions to adopt resilience strategies for climate change: a comparative and integrated approach using the theory of planned behavior and protection motivation theor... by Emna Ouertani, Yamna Erraach, Lamia Arfa, Tiziana De-Magistris, Selene Ivette Ornelas Herrera, Zein Kallas

“…The findings from the partial least squares analysis highlight the value and complementarity of the three models (TPB, PMT, and extended PMT), with the extended model offering superior explanatory and predictive power. …”
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Clinical and psychological factors affecting sudden death risk in myocardial infarction patients by S. A. Boldueva, A. V. Shabrov, I. A. Leonova, T. Ya. Burak, M. V. Samokhvalova, O. V. Trofimova, E. G. Bykova, A. E. Gimgina

“…Aim. To assess prognostic value of clinical and psychological factors in regard to sudden cardiac death (SCD) risk in patients after myocardial infarction (MI). …”
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Spontaneous neural activity alterations in medication-naïve primary blepharospasm: a resting-state functional magnetic resonance imaging study by Hua-Liang Li, Shu Wang, Xin-Xin Yao, Si-Yu Gu, Jian-Bin Hu, Ping-Lei Pan, Ping-Lei Pan

“…Partial correlation analyses between the altered ALFF values and clinical variables (illness duration and Jankovic Rating Scale score) in patients with BSP were further conducted.ResultsCompared to healthy controls, medication-naïve patients with BSP exhibited significantly increased ALFF in the bilateral putamen and left premotor cortex and decreased ALFF in the bilateral thalamus (p &lt; 0.05, threshold-free cluster enhancement with family-wise error correction for multiple comparisons). …”
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Exploring the risk factors and clustering patterns of periodontitis in patients with different subtypes of diabetes through machine learning and cluster analysis by Anna Zhao, Yuxiang Chen, Haoran Yang, Tingting Chen, Xianqi Rao, Ziliang Li

“…Differences between the two groups were considered statistically significant at a p value of ≤0.05. There was marked variability in the associations of different cluster characteristics with periodontitis prevalence. …”
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Personalized prediction model generated with machine learning for kidney function one year after living kidney donation by Rikako Oki, Toshihio Hirai, Kazuhiro Iwadoh, Yu Kijima, Hiroyuki Hashimoto, Yasunori Nishimura, Taro Banno, Kohei Unagami, Kazuya Omoto, Tomokazu Shimizu, Junichi Hoshino, Toshio Takagi, Hideki Ishida, Toshihito Hirai

“…Abstract Living kidney donors typically experience approximately a 30% reduction in kidney function after donation, although the degree of reduction varies among individuals. This study aimed to develop a machine learning (ML) model to predict serum creatinine (Cre) levels at one year post-donation using preoperative clinical data, including kidney-, fat-, and muscle-volumetry values from computed tomography. …”
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Advanced QbD-Based Process Optimization of Clopidogrel Tablets with Insights into Industrial Manufacturing Design by Young Woo Bak, Mi Ran Woo, Hyuk Jun Cho, Taek Kwan Kwon, Ho Teak Im, Jung Hyun Cho, Han-Gon Choi

“…This increases the risk of variability and inconsistent outcomes. To overcome these limitations, this study aimed to implement a Quality by Design (QbD) approach to optimize the manufacturing process of clopidogrel tablets. …”
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Multilevel modelling of determinants of perinatal mortality in East Africa: a pooled analysis of National health survey data by Bewuketu Terefe, Fentahun Bikale Kebede, Nega Nigussie Abrha, Yalelet Fentaw Shiferaw, Dejen Kahsay Asgedom, Solomon Keflie Assefa, Nega Tezera Assimamaw

“…For the multivariable analysis, variables with a p-value ≤ 0.2 in the univariate analysis were considered. …”
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The role of Triglyceride Glucose-Waist Circumference (TyG_WC) in predicting metabolic dysfunction-associated steatotic liver disease among individuals with hyperuricemia by Qian-Qian Wang, Ning Zhang, Xiang Xu, Si-Ang Lv, Zhuo-Deng Huang, Xi-Dai Long, Jun Wu

“…Abstract Background/aims The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) among individuals with hyperuricemia is significantly high. …”
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