Feasibility Study of the Use of Handheld NIR Spectrometer for Simultaneous Authentication and Quantification of Quality Parameters in Intact Pineapple Fruits by Charles L. Y. Amuah, Ernest Teye, Francis Padi Lamptey, Kwasi Nyandey, Jerry Opoku-Ansah, Peter Osei-Wusu Adueming

“…After attempting several preprocessing techniques, multivariate calibration models were built using principal component analysis (PCA), K-nearest neighbor (KNN), and linear discriminant analysis (LDA) to identify the classes (organic and conventional pineapple fruits) while partial least squares regression (PLSR) method was used to determine TSS of the fruits. …”
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Abnormal Default-Mode Network Homogeneity in Melancholic and Nonmelancholic Major Depressive Disorder at Rest by Meiqi Yan, Xilong Cui, Feng Liu, Huabing Li, Renzhi Huang, Yanqing Tang, Jindong Chen, Jingping Zhao, Guangrong Xie, Wenbin Guo

“…We aimed to explore if there were some distinctive alterations in melancholic MDD and whether the alterations could be used to discriminate the melancholic MDD and nonmelancholic MDD. …”
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Psychometric properties of the Dental Fear Schedule Subscale in a Portuguese pediatric population: exploratory study by Inês Esteves, Andreia Costa, Ana Coelho Canta, Sónia Mendes

“…Criterion validity was assessed by correlating the DFSS-SF and FBRS scores (Spearman correlation). Discriminant validity was analyzed using the variables sex, age, treatment complexity, and child´s behavior during the appointment, employing the Mann-Whitney test (for items) and Student’s t test (for the scale's total score) (α=0.05). …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Finally, by training the optimal quantitative structure–retention relationship (QSRR) models for each category of compounds and selecting the best-fitting model for prediction via discriminant analysis during the prediction period, a novel and universal high-throughput retention time prediction model was established. …”
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Sample Tracking Tool: A Comprehensive Approach Based on OpenArray Technology and R Scripting for Genomic Sample Monitoring by Giulia Trastulli, Giulia Calvino, Bruno Papasergi, Domenica Megalizzi, Cristina Peconi, Stefania Zampatti, Claudia Strafella, Carlo Caltagirone, Emiliano Giardina, Raffaella Cascella

“…<b>Conclusions</b>: The features of OpenArray^TM technology, cost-effectiveness, rapid analysis, and high discriminative power make it a suitable tool for sample tracking. …”
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Clinical symptoms and functional impairment in attention deficit hyperactivity disorder (ADHD) co-morbid tic disorder (TD) patients: a cluster-based investigation by Zhongliang Jiang, Hui Xu, Anyi Zhang, Liping Yu, Xianbin Wang, Wenyan Zhang, Yonghua Cui, Ying Li

“…The number of clusters was determined using the elbow method, and K-means clustering was conducted. Fisher discriminant analysis and silhouette score were used for validation. …”
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Integrated omics revealed the altered colonic microenvironment after inhibition of peripheral serotonin synthesis by LP533401 by Yidan Ling, Ziyu Liu, Shuibing Han, Haiqin Wu, Chunlong Mu, Weiyun Zhu

“…Transcriptome profiling analysis indicated the discriminant expression of genes enriched in pathogen infection‐responsive signaling (e.g., Salmonella and Yersinia infection) and the Wnt signaling pathway that affected stem cell proliferation. …”
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Susceptibility map-weighted MRI can distinguish tremor-dominant Parkinson’s disease from essential tremor by Sungyang Jo, Chong Hyun Suh, Sangjin Lee, Jihyun Lee, MyungKi Yoon, Hwon Heo, Woo Hyun Shim, Sang Joon Kim, Eung Yeop Kim, Sun Ju Chung

“…Among 136 patients with ET, 131 (96.3%) exhibited an intact dorsal nigral hyperintensity, while 5 (3.7%) showed unilateral/bilateral dorsal nigral hyperintensity loss. SMwI discriminated between tremor-dominant PD and ET with a sensitivity and specificity of 100% and 96.3%, respectively. 18F-FP-CIT PET revealed normal findings in 4/5 patients with ET who had false-positive results on SMwI. …”
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Sex Variations in the Oral Microbiomes of Youths with Severe Periodontitis by Ya-Qiong Zhao, Ying-Hui Zhou, Jie Zhao, Yao Feng, Zheng-Rong Gao, Qin Ye, Qiong Liu, Yun Chen, Shao-Hui Zhang, Li Tan, Marie Aimee Dusenge, Jing Hu, Yun-Zhi Feng, Fei Yan, Yue Guo

“…The composition, α-diversity, and β-diversity of the patients’ oral microbiomes were compared between the males and the females. Linear discriminant analysis effect size (LEfSe) was used to analyze the specific taxa enriched in the two groups. …”
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Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations by Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao

“…It trains a generator network through quantum circuits for the generation of new samples and a discriminator network for real image and sample classification, thus ensuring high diversity and quality in synthetic data with SSIM values above 0.90. …”
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Enhanced characterization of non-metallic inclusions in ultra-high-strength steels using advanced synchrotron-based X-ray absorption spectroscopy and chemometric analysis by Mourad Kharbach, Mohammed Alaoui Mansouri, Ekta Rani, Harishchandra Singh, Tuomas Alatarvas, Brice Sarpi, Lin Zhu, Yuran Niu, Alexei Zakharov, Ilkka Launonen, Marko Huttula, Mikko J. Sillanpaa, Samuli Urpelainen

“…For classifying NMIs based on annealing history and calcium phase changes, Partial Least Squares Discriminant Analysis (PLS-DA) and Soft Independent Modeling of Class Analogy (SIMCA) are applied, with PLS-DA demonstrating superior classification accuracy. …”
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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). …”
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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. …”
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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. …”
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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. …”
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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. …”
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End-to-End Mandarin Speech Reconstruction Based on Ultrasound Tongue Images Using Deep Learning by Fengji Li, Fei Shen, Ding Ma, Jie Zhou, Shaochuan Zhang, Li Wang, Fan Fan, Tao Liu, Xiaohong Chen, Tomoki Toda, Haijun Niu

“…The model includes a pretrained feature extractor to process ultrasound images, an upsampling block to generate speech, and discriminators to ensure the similarity and fidelity of the reconstructed speech. …”
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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. …”
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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. …”
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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. …”
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