Can Nonfibrotic Nonalcoholic Steatohepatitis Be Effectively Identified by Supersonic Shear Imaging? by Jiajia Yang, Liwu Lin, Ensheng Xue, Dengke Hong, Yan Yang, Meifang Xu, Zhikui Chen

“…The aim of this study was to evaluate the value of SSI in discriminating nonfibrotic nonalcoholic steatohepatitis (NASH) from the less severe nonalcoholic fatty liver disease (NAFLD), NASH with fibrosis, and the normal liver, as well as the relationship between various NAFLD pathologic or biochemical findings and SSI liver elasticity. …”
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Translation, Adaptation, and Validation in Portuguese of an Acceptance Scale for Human–Robot Interaction in an Industrial Context by Ana Pinto, Leticia Lemos, Carla Carvalho, Joana Santos, Paulo Menezes, Tatsuya Nomura

“…The goodness-of-fit index (GFI), comparative fit index (CFI), and normed fit index (NFI) were 0.88, 0.90, and 0.86, respectively, all within acceptable ranges. Convergent and discriminant validities were also analyzed. An analysis of the differences in perceptions of acceptance based on sociodemographic variables (gender, experience with robots, educational level, and age) was conducted. …”
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The Reliability and Validity of a Novel Clinical Test for Assessing Shoulder Rotation ROM in Collegiate Baseball Players: Functional Assessment of System Tension of the Shoulder (F... by Steven Dischiavi, Jesse Perry, Connor Burk, Jeremy Chiang, Chris Bleakley

“… # Conclusions FAST-SHDR testing shows good to excellent intra-rater reliability for measuring shoulder rotational PROM and demonstrates both face and discriminant validity. # Level of Evidence 3…”
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THE AMERICAN COLLEGE OF SURGEONS-NATIONAL SURGICAL QUALITY IMPROVEMENT PROGRAM CALCULATOR AND SURGICAL APGAR AS PREDICTORS OF POST-CHOLECYSTECTOMY COMPLICATIONS by Diana Tejeda-Herrera, Jose Caballero-Alvarado, Carlos Zavaleta-Corvera

“…A chi-square test was used for bivariate analysis, and the receiver operating characteristic (ROC) curve analysis was employed to determine the discriminative capacity of the ACS-NSQIP and surgical Apgar calculators in predicting severe complications. …”
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Reversal of Experimental Liver Damage after Transplantation of Stem-Derived Cells Detected by FTIR Spectroscopy by Danna Ye, Philip Heraud, Rangsun Parnpai, Tong Li

“…Principal component analysis (PCA) of spectra acquired from liver tissue could readily discriminate rBM-MSC-DSC-transplanted animals from the untreated and rBM-MSC-transplanted animals. …”
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The characteristic of poverty-alleviation behavioral strategies of the rural poor population and their relationship with socio-demographic factors by Yan Li, Jin-wei Zhu, Yong-quan Huo

“…Reliability and validity analyses demonstrate that the Poverty-alleviation Behavior Strategies Questionnaire exhibits high internal consistency reliability, composite reliability, convergent validity, and discriminant validity. Hierarchical regression analysis reveals that socio-demographic characteristics such as health status, educational level, family size, main occupation, and income sources have predictive power regarding the formation of pragmatic and fatalistic poverty-alleviation strategies.ConclusionAmong the four types of poverty-alleviation behavior strategies identified among rural poor population, fatalistic and pragmatic strategies are critically significant for poverty-alleviation efforts and should receive heightened attention from poverty-alleviation workers. …”
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Comparative Analysis of Biomarkers in Type 2 Diabetes Patients With and Without Comorbidities: Insights Into the Role of Hypertension and Cardiovascular Disease by Symeon Savvopoulos, Haralampos Hatzikirou, Herbert F Jelinek

“…Control patients and patients with hypertension, cardiovascular, and with both hypertension and cardiovascular diseases are 156, 148, 61, and 216, respectively. Methods: Linear discriminant analysis is used for classification method and feature importance, This study examined the relationship between Humanin and mitochondrial protein (MOTSc), mitochondrial peptides associated with oxidative stress, diabetes progression, and associated complications. …”
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Altitude-Driven Variations in Nutritional, Bioactive, and Mineral Profiles of Hawthorn (<i>Crataegus</i> spp.) by Yanyan Liu, Lu Chen, Guohui Shen, Yanting Gu, Yanzhi Guo, Juan Han

“…Through comprehensive analysis of 20 nutritional indicators from high- and low-altitude samples, including essential nutrients, bioactive compounds, and trace elements, multivariate analyses such as Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) revealed clear altitude-driven clustering. …”
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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…Feature extraction and dimensionality optimization are employed to identify the most critical and discriminative features for classification. The experimental setup utilizes Python, TensorFlow, and Keras within a GPU-enabled environment to handle computational demands effectively. …”
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Drawing as a learning tool for anatomy: design and implementation of a method. by Elena Martínez Carracelas, Miguel Ángel Fernández-Villacañas Marín, Matilde Moreno Cascales, Diego Flores Funes

“…This study concludes that the learning method had a positive influence on the learning of Anatomy and that attending the workshop improved the level of knowledge, the ability to discriminate details and skull the three-dimensional understanding. …”
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Performance of indirect adherence measures for daily oral pre-exposure prophylaxis for HIV among adolescent men who have sex with men and transgender women in Brazil. by Diana Zeballos, Laio Magno, Fabiane Soares, Jony Arrais Pinto Junior, Leila Amorim, Dirceu Greco, Alexandre Grangeiro, Inês Dourado, PrEP15-19 study group

“…<h4>Conclusions</h4>Indirect measures were able to discriminate adolescents with good adherence. However, their performance in identifying those with low adherence might be limited, suggesting that it is necessary to initiate adherence interventions when there is no evidence of perfect adherence. …”
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Relationship between skin temperature and blood flow during exposure to radio frequency energy: implications for device development by Georgia E. H. Robles, David A. Nelson

“…Conclusion Results show that it is feasible to discriminate between blood flow rates using REFLO technology at frequencies within the 10–94 GHz range. …”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

“…This experiment was conducted on regional landslide susceptibility prediction using different ML models: logistic regression (LR), k-nearest neighbor (KNN), linear discriminant analysis (LDA), artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and C5.0. …”
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Molecular genetic characteristics of broccoli (Brassica oleracea L. var. italica Plenck) from the VIR collection by D. A. Fateev, A. M. Artemyeva

“…In the studied loci, 3 to 7 alleles were pinpointed. The discriminating power of markers ranged from 0.75 to 0.96, and averaged 0.91; the average number of fragments per marker was 4.4. …”
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Association between Consumption of Fluoroquinolones and Carbapenems and Their Resistance Rates in Pseudomonas aeruginosa in Argentina by Silvia Boni, Gustavo H. Marin, Laura Campaña, Lupe Marin, Soledad Risso-Patrón, Gina Marin, Fernanda Gabriel, Alejandra Corso, Valeria Garay, Manuel Limeres

“…Consumption of antimicrobials was expressed by defined daily dose (DDD)/1000 inhabitants for each ATM during one year period, discriminating by each country region. Resistance of P. aeruginosa to carbapenems/fluoroquinolones groups was recorded. …”
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What’s in it for citizen scientists? An Analysis of Participant Inclusivity in Citizen Science Projects in Advanced Physics Research [version 3; peer review: 1 approved, 2 approved... by Claudia Magdalena Fabian, Elisabeth Unterfrauner, Beatriz Garcia, Gary Hemming

“…The demographic analysis of the data reveals that participants were quite heterogeneous and that people who feel that they belong to a group that is discriminated against are particularly motivated to participate in citizen science projects. …”
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Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials by Cosimo Ricci, Agata Gadaleta, Annamaria Gerardino, Angelo Didonna, Giuseppe Ferrara, Francesca Romana Bertani

“…Results Considering the specific samples, the obtained results of the classification models indicate a validation mean absolute error of 0.8% (percentage of total protein content in dry matter) for two species of wheat using Convolutional Neural Network following normalization procedures and 0.32% using Partial Least Square (PLS) analysis applied to Tritordeum samples; visible reflectance spectra have been used to discriminate the two cereal species. A Root Mean Square Error (RMSE) of 1.25 was obtained for the determination of total soluble solids (TSS) over a 2-year period for pomegranate fresh fruits of Wonderful cultivar, which is commonly harvested with TSS values of 16–17. …”
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Ecology of endolithic bryozoans: colony development, growth rates and interactions of species in the genus Immergentia by Mildred J. Johnson, Sarah Lemer, Masato Hirose, Sebastian H. Decker, Thomas Schwaha

“…Depending on the shell type, borehole apertures and colony morphology can be diagnostic for distinguishing taxa, but to discriminate among species their combination with zooidal morphology is essential. …”
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Study on Few-Shot Fault Diagnosis Method for Marine Fuel Systems Based on DT-SViT-KNN by Shankai Li, Liang Qi, Jiayu Shi, Han Xiao, Bin Da, Runkang Tang, Danfeng Zuo

“…Meanwhile, a Weighted-Similarity loss function is designed using similarity labels and penalty coefficients, enhancing the model’s ability to discriminate between similar sample pairs. Finally, the proposed method is validated using a simulation dataset. …”
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Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Firstly, a novel pose-guided occlusion generation module is designed to enhance the model’s ability to extract discriminative features from non-occluded areas. Occlusion data are generated to simulate occluded person images. …”
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