Analysis of Optimal Health-Related Quality of Life Measures in Patients Waitlisted for Lung Transplantation by Junko Tokuno, Toyofumi F Chen-Yoshikawa, Toru Oga, Takahiro Oto, Tomoyo Okawa, Yoshinori Okada, Miki Akiba, Masaki Ikeda, Daisuke Nakajima, Masatsugu Hamaji, Hideki Motoyama, Akihiro Aoyama, Maki Isomi, Kazuo Chin, Hiroshi Date

“…The MRF-26 and SRI are valid, discriminative, and responsive in patients waitlisted for lung transplantation. …”
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Psychometric Validation of the Persian Version of Multidimensional Health Locus of Control Scale (MHLC-C) for Menopausal Women by Khadijeh Khademi, Mohammad Hossein Kaveh, Mahin Nazari, Abdolrahim Asadollahi

“…Psychometric properties such as construct validity (confirmed through confirmatory factor analysis), convergent validity (evaluated using average variance extracted), and internal consistency (assessed by Cronbach’s alpha, composite reliability and rho_A factor) were examined. Discriminant validity was determined using the Fornell–Larcker criterion. …”
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Milk adulteration identification using hyperspectral imaging and machine learning by Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

“…Machine learning techniques (logistic regression, decision tree, support vector machine, and linear discriminant analysis [LDA]), are employed, with LDA excelling in adulteration identification by learning the spectral signatures. …”
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Lipid Metabolism-Related Gene Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in Advanced Gastric Cancer by Lijian He, Qiange Ye, Yanmei Zhu, Wenqi Zhong, Guifang Xu, Lei Wang, Zhangding Wang, Xiaoping Zou

“…We evaluated the discriminative ability and clinical significance of the model using the Kaplan-Meier (KM) curve, ROC curve, DCA curve, and nomogram. …”
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SDRG-Net: Integrating multi-level color transformation encryption and ICNN-IRDO feature analysis for robust diabetic retinopathy diagnosis by Venkata Kotam Raju Poranki, B. Srinivasarao

“…The encrypted images are then fed into an Iterative Convolutional Neural Network (ICNN) architecture for feature extraction, leveraging deep learning capabilities to learn discriminative features from the retinal images automatically. …”
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Representing and Quantifying Conformational Changes of Kinases and Phosphatases Using the TSR-Based Algorithm by Tarikul I. Milon, Krishna Rauniyar, Sara Furman, Khairum H. Orthi, Yingchun Wang, Vijay Raghavan, Wu Xu

“…TSR keys are effective when used as features for unsupervised machine learning and for key searches. If discriminative TSR keys are identified, they can be mapped back to atomic details within the amino acids involved. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…Specifically, the Gaussian kernel function based on Mahalanobis distance is used to map the data into a more discriminative low-dimensional manifold embedding. At the same time, the regularized distance metric constraint is imposed on the manifold, so that samples of the same class are clustered and different classes are mutually exclusive. …”
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Caractérisation de l’habitat des bonobos dans la province de Bolobo : premiers résultats de l’analyse de la structure de la forêt by Flora Pennec, Victor Narat, Sarah Bortolamiol, Sabrina Krief

“…Une classification ascendante hiérarchique permet de discriminer les parcelles de recensement en fonction de paramètres quantitatifs tels que la nature et de la densité de la strate basse ainsi que les densités de peuplement en arbres. …”
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High-Capacity Real-Time Face Retrieval Recognition Algorithm Based on Task Scheduling Model for the Treatment Area of Hospital by Yi Zhou, Weili Xia

“…The face feature extraction network has no overfitting, and the features are highly discriminative with small feature extraction time consumption. …”
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Pore Structure Differentiation between Deltaic and Epicontinental Tight Sandstones of the Upper Paleozoic in the Eastern Linxing Area, Ordos Basin, China by Jimei Deng, Huan Zeng, Peng Wu, Jia Du, Jixian Gao, Fei Zhao, Zhixun Jiang

“…Cast thin section, scanning electron microscopy, high-pressure mercury injection, and X-ray diffraction (XRD) were applied to discriminate the tight sandstone reservoir differences between the Permian Taiyuan and Shanxi formations in the study area. …”
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Evaluation of the Biomarkers HMGB1 and IL-6 as Predictors of Mortality in Cirrhotic Patients with Acute Kidney Injury by Célio Geraldo de Oliveira Gomes, Marcus Vinicius Melo de Andrade, Ludmila Resende Guedes, Henrique Carvalho Rocha, Roberto Gardone Guimarães, Fernando Antônio Castro Carvalho, Eduardo Garcia Vilela

“…The area under the ROC curve for HMGB1 was 0.842 and 0.657, and that for IL-6 was 0.803 and 0.743 for discriminating nonsurvivors at 30 days and three months, respectively. …”
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Critical Discourse Analysis of the Manifestations of English Linguistic Challenges: The Case Of The New Draft Language Policy In The South African Police Services by Tebogo Johannes Kekana, Malesela Edward Montle

“…Data were elicited through an analysis of the specifically selected clauses contained in the SAPS draft Language Policy with specific reference to a selected SAPS training Academy in Gauteng province. Discriminant Function Analysis indicated ten interrelated flaws within the SAPS Language policy which has the potential to affect training as far as English competency is concerned. …”
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Enhanced detection of mild cognitive impairment in Alzheimer’s disease: a hybrid model integrating dual biomarkers and advanced machine learning by John Sahaya Rani Alex, R. Roshini, G. Maneesha, Jeetashree Aparajeeta, B. Priyadarshini, Chih-Yang Lin, Chi-Wen Lung

“…The proposed hybrid model achieved an average accuracy of 93.6% for distinguishing between NC and symptomatic AD and 93.7% for discriminating between MCI and AD. This approach enhances diagnostic accuracy and provides a more comprehensive assessment, allowing for earlier and more targeted therapeutic interventions.…”
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Mathematics self-belief and mathematical creativity of university students: the role of problem-solving skills by Bright Asare, Yarhands Dissou Arthur, Benjamin Adu Obeng

“…Exploratory factor analysis and reliability analysis were performed using SPSS (v.23), while confirmatory factor analysis and discriminant validity analysis were also performed using Amos (v.23) in this study. …”
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Using a Two-Steps Clustering and PCA Analysis for Stratified Chronic Non-Cancer Pain Care: A Retrospective Cross-Sectional Study by Peiró AM, Barrachina J, Escorial M, Aguado I, Margarit C, Grimby-Ekman A

“…A retrospective study was developed (n = 120) following the stratified analysis.Results: From a principal component analysis, cut-off points were defined to discriminate between the six clusters and three groups of different pain intervention requirements. …”
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Development of a Brief Assessment Tool to Evaluate Early Low Nutrition Risk in Community Elderly: Creation of the Tool and Examination of Its Reliability and Criterion-related Vali... by Shoji Shinkai, Miki Narita, Hiroshi Murayama, Akihiko Kitamura, Yoshinori Fujiwara

“…Item analysis was conducted on the 34 common items, and items were selected based on the following criteria: adequate pass rates and discriminative power, no gender and regional differences, and a certain level of commonality based on factor analysis. …”
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Risk factors analysis of hypokalemia after radical resection of esophageal cancer and establishment of a nomogram risk prediction model by Guanqiang Yan, Jingxiao Li, Yiji Su, Guosheng Li, Guiyu Feng, Jun Liu, Xiang Gao, Huafu Zhou

“…The area under the ROC curve (AUC) was 0.764, demonstrating the good discriminative ability of the established nomogram for hypokalemia prediction. …”
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New Insights on Childhood Lupus Nephritis by Marchi-Silva R, De Aquino BM, Londe AC, Mazzola TN, Julio PR, Wampler Muskardin T, Appenzeller S

“…Major progress made in recent years includes adjustment of the proportion of fibrous crescents when scoring nephritis in cSLE to better discriminate kidney disease outcomes, and development of non-invasive biomarkers to identify renal disease activity and damage. …”
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Validity, reliability, and feasibility of the Malay version of Obstetric Quality-of-Recovery tool (ObsQoR-10) by Pamela Chia, Chin Wen Tan, Jitsupa Nithiuthai, Rehena Sultana, Farida Ithnin, Pervez Sultan, Ban Leong Sng

“…Validity: The ObsQoR-10-Malay discriminated between good and poor recovery (EQ-5D-3L visual analog scale (VAS) < 70: 58.8 (standard deviation [SD] 16.4); VAS ≥ 70: 68.3 (SD 11.2), and correlated with EQ-5D-3L VAS score (r = 0.4114; P < 0.0001), HADS-anxiety (r = 0.6056, P < 0.0001), and PCS-magnification (r = 0.4994, P < 0.0001). …”
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Profiles of Sugar and Organic Acid of Fruit Juices: A Comparative Study and Implication for Authentication by Jiaxiu Li, Chunling Zhang, Hui Liu, Jiechao Liu, Zhonggao Jiao

“…With the aid of principal component analysis and linear discriminant analysis (LDA), the juice samples could be successfully classified according to fruit species by using the sugar and/or organic acid composition as analytical data. …”
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