Prediction model, risk factor score and ventilator-associated pneumonia: A two-stage case-control study by Hua Meng, Yuxin Shi, Kaming Xue, Di Liu, Xiongjing Cao, Yanyan Wu, Yunzhou Fan, Fang Gao, Ming Zhu, Lijuan Xiong

“…RFS was significantly linearly associated with VAP risk [odds ratio and 95 % confidence interval = 2.699 (2.347, 3.135)], and showed good discriminations for VAP both in discovery stage [area under the curve (AUC) = 0.857] and validation stage (AUC = 0.879). …”
Get full text

Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease by Ziyi Yuan, Zhaodi Huang, Chaojun Li, Shengrong Li, Qingguo Ren, Xiaona Xia, Qingjun Jiang, Daoqiang Zhang, Qi Zhu, Xiangshui Meng, Xiangshui Meng

“…The accuracy, recall, sensitivity, and F1-score were higher than those of the other methods, as was the diagnostic efficacy (AUC = 0.9149).ConclusionThe multimodal FBN and SBN topological feature fusion technique, which incorporates rs-fMRI, DTI, 3D-T1WI, and demographic characteristics, obtains the most discriminative features of MCI in patients with unilateral MCA steno-occlusive disease and can effectively identify disease-related brain areas and connections. …”
Get full text

Translation and validation of the Polish-language version of the Birth Satisfaction Scale-Revised (BSS-R) and its relationship to the type of delivery and the baby’s Apgar score by Paulina Pawlicka, Wiktor Wróbel, Barbara Baranowska, Daria Macewicz, Michał Olech, Caroline J. Hollins Martin, Colin R. Martin

“…The PL-BSS-R measurement properties were examined using confirmatory factor analysis, divergent, convergent validity analysis, internal consistency appraisal and investigation of known-groups discriminant characteristics. Results The PL-BSS-R was found to have generally very good measurement properties and to be equivalent to the original English-language version across key validity indices. …”
Get full text

Value of C-Reactive Protein in Predicting Left Ventricular Remodelling in Patients with a First ST-Segment Elevation Myocardial Infarction by Iwona Swiatkiewicz, Marek Kozinski, Przemyslaw Magielski, Tomasz Fabiszak, Adam Sukiennik, Eliano Pio Navarese, Grazyna Odrowaz-Sypniewska, Jacek Kubica

“…The ROC analysis revealed a limited discriminative value of CRP (area under the curve 0.61; 95% CI 0.54–0.68) in terms of LVR prediction. …”
Get full text

The mirror preference test: A reverse translational approach to study anomalous subjective experience in rats by Daria Chestnykh, Liubov S. Kalinichenko, Stephan von Hörsten, Johannes Kornhuber, Christian P. Müller

“…Although self-recognition in rodents is debatable, recent studies suggest they can discriminate mirror images. We propose that limited visual perception that meets brain monoamine sensitization may trigger visual illusions as part of a psychotic-like state in rats. …”
Get full text

Depicting Soybean Diversity via Complementary Application of Three Marker Types by Vesna Perić, Natalija Kravić, Marijenka Tabaković, Snežana Mladenović Drinić, Valentina Nikolić, Marijana Simić, Ana Nikolić

“…For the diversity assessed by morphological descriptors, Homogeneity Analysis by Means of Alternating Least Squares (HOMALS) yielded the most efficient classification by identifying the traits with the highest discriminative power and separating the genotypes into homogeneous groups. …”
Get full text

Comprehensive profiling of gut bacterial communities in hybrid red tilapia with and without streptococcosis by Pathamawan Amthungphong, Natthaphong Sombuttra, Triwit Rattanarojpong, Kanthida Kusonmano, Saengchan Senapin, Satid Chatchaiphan, Watanalai Panbangred, Jirayut Euanorasetr

“…Taxonomical profiling revealed Proteobacteria followed by Fusobacteria as the dominant phyla and Cetobacterium as the dominant genus in the gut of both groups. Linear discriminant analysis effect size indicated Vibrio, Plesiomonas, Aeromonas, Streptococcus, Chitinibacter, and Edwardsiella as relatively more abundant in the diseased group. …”
Get full text

Voxel-Wise Brain-Wide Functional Connectivity Abnormalities in Patients with Primary Blepharospasm at Rest by Pan Pan, Shubao Wei, Huabing Li, Yangpan Ou, Feng Liu, Wenyan Jiang, Wenmei Li, Yiwu Lei, Yanqing Tang, Wenbin Guo, Shuguang Luo

“…SVM analysis showed that increased GFC values in the right postcentral gyrus/precentral gyrus/paracentral lobule could discriminate patients from controls with optimal accuracy, specificity, and sensitivity of 83.33%, 83.33%, and 83.33%, respectively. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text