A study on the exploration of mild cognitive impairment in Parkinson’s disease based on decision-making cognitive computing by Shouqiang Huang, Kai Li, Kai Li, Chen Wang, Jiakang Liu, Shuwu Li, Yuting Tu, Bo Wang, Huangqin Feng, Qin Yu, Hongzhou Lin, Yuzhe Xu, Jinghang Wu, Ting Zhang, Tong Chen

“…Through difference comparison and stepwise regression analysis, two digital decision-making biomarkers, total decision time and performance average acceleration, were screened, and their joint area under curve for the ability to discriminate between PD-MCI and PD-NC was 0.909, and for the ability to discriminate between PD-MCI and NC was 0.942. …”
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Chinese version of the Perth Alexithymia Questionnaire: psychometric properties and clinical applications by Wei Wei, Zhe Zhang, Lin Zhu, Qian Zhang, Xin-Lu Cai, Qingying Ye, Ke Ni, Minmin Yin, David A. Preece, Bao-Ming Li

“…We examined its factor structure, internal consistency, test-retest reliability, as well as convergent, concurrent and discriminant validity. In Study 2, four groups, including a major depressive disorder (MDD) group (n=50), a matched healthy control group for MDD (n=50), a subclinical depression group (n=50) and a matched healthy control group for subclinical depression (n=50), were recruited. …”
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A predictive model for depression risk in individuals with hypertension: evidence from NHANES 2007–2020 by Keyou Wen, Yuxin Nie, Yilin Lai, Ping Li, Zhihua Huang, Guangjiao Liu, Yueqiao Zhong, Huamei Li, Jiahua Liang

“…Univariable and multivariable analyses were applied to analyze the impact of each parameter on depression with hypertension, resulting in establishment of a predictive model. Finally, the discriminability, calibration ability, and clinical efficacy of the model were verified for both the derivation set and validation set. …”
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Intelligent Electrochemical Sensing: A New Frontier in On-the-Fly Coffee Quality Assessment by Simone Grasso, Maria Vittoria Di Loreto, Alessandro Zompanti, Davide Ciarrocchi, Laura De Gara, Giorgio Pennazza, Luca Vollero, Marco Santonico

“…This study aims to evaluate the capability of a smart electrochemical sensor to discriminate among different beverages prepared using coffee beans with different moisture content (0%, 2%, >4%) and ground in three sizes (fine, medium and coarse). …”
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Rapid detection of drug abuse via tear analysis using surface enhanced Raman spectroscopy and machine learning by Yingbin Wang, Yulong Huang, Xiaobao Liu, Chishan Kang, Wenjie Wu

“…To enable rapid analysis of complex SERS data, three ML algorithms—linear discriminant analysis (LDA), partial least squares discriminant analysis (PLS-DA), and random forest (RF)—were employed. …”
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Combination of Multifocal Electroretinogram and Spectral-Domain OCT Can Increase Diagnostic Efficacy of Parkinson’s Disease by Jiang Huang, Yi Li, Jianjiang Xiao, Qin Zhang, Guoxu Xu, Guanhui Wu, Tong Liu, Weifeng Luo

“…Both of them were higher in diagnostic value to discriminate PD patients. Conclusion. The amplitude density of P1 combined with macular volume can get a high diagnostic efficacy to discriminate between participants with or without PD. …”
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Talent identification and development in judo: A systematic review by Aline Aparecida de Souza Ribeiro, Francisco Zacaron Werneck, João Guilherme Vieira, Leandro Sant’Ana, Kathryn Johnston, Joseph Baker, Jeferson Macedo Vianna

“…Very little is known about what talent indicators discriminate high skilled judo athletes or predict actual performance or future success. …”
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Simple shell measurements do not consistently predict habitat in turtles: a reply to Lichtig and Lucas (2017) by Evers, Serjoscha W., Foth, Christian, Joyce, Walter G., Hermanson, Guilherme

“…When these choices are reversed, species measurements for fossils are corrected, and phylogenetic flexible discriminant analysis applied, habitat cannot be correctly predicted for extant turtles based on these simple shell measurements. …”
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Fault Diagnosis of Magnetically Controlled On-Column Circuit Breaker Based on Small Sample Condition by He Tian, Chao Liang, Wenpeng Ma, Tianchang Zhang

“…Subsequently, to address the problem of real-world operational data being susceptible to noise, a Stacked Denoising Autoencoder (SDAE) is utilized as the discriminator in the ACGAN framework. This approach not only enhances noise resistance and optimizes the feature centers but also synchronizes training with the VAE, thereby improving the quality of the generated samples and refining the weight bias parameters of the discriminator. …”
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Metabolomics identifies plasma biomarkers of localized radiation injury by Lucie Ancel, Stéphane Grison, Olivier Gabillot, Jules Gueguen, Ljubica Svilar, Bernard Le Guen, Gaëtan Gruel, Marc Benderitter, Jean-Charles Martin, Maâmar Souidi, Radia Tamarat, Stéphane Flamant, Mohamed Amine Benadjaoud

“…The identified biomarker signature consists in a 6-metabolite panel including putrescine, uracil, 2,3-dihydroxybenzoate, 3-hydroxybenzoate, L-alanine and pyroglutamate, that can discriminate mice according to radiation dose and injury severity. …”
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Phenotypic Diversity of Doum Palm (Hyphaene compressa), a Semi‐Domesticated Palm in the Arid and Semi‐Arid Regions of Kenya by Agnes Omire, Nancy L. M. Budambula, Johnstone Neondo, Robert Gituru, Cecilia Mweu

“…Linear mixed-effects models, principal component analysis, and linear discriminant analyses were used to assess the variation in the morphological traits of doum palm based on the regions. …”
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Información de actualidad, divulgación científica y discurso del riesgo by José Ignacio Lorente

“…As a result, many narrative strategies are discriminated; strategies through which the tensions and conflicts related to the definition and confrontation of global dangers and threats are managed.…”
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Underwater Sonar Image Classification with Image Disentanglement Reconstruction and Zero-Shot Learning by Ye Peng, Houpu Li, Wenwen Zhang, Junhui Zhu, Lei Liu, Guojun Zhai

“…Furthermore, three discriminators are incorporated to determine the realness and texture quality of the reconstructed image and feedback to the decoder. …”
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Effects of the Maximum Recommended Levels of Fumonisins in the EU on Oxylipin Profiles in the Liver and Brain of Chickens by Philippe Guerre, Elodie Lassallette, Amélie Guerre, Didier Tardieu

“…In the brain, at four days, the most discriminative OLs were derived from ω3-PUFAs, including docosahexaenoic acid, docosapentaenoic acid, and alpha-linolenic acid, via the LOX pathway. …”
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Remote sensing image Super-resolution reconstruction by fusing multi-scale receptive fields and hybrid transformer by Denghui Liu, Lin Zhong, Haiyang Wu, Songyang Li, Yida Li

“…Additionally, the model introduces a multi-stage Hybrid Transformer structure, which processes features at different resolutions progressively, from low resolution to high resolution, substantially enhancing reconstruction quality and detail recovery. The discriminator combines multi-scale convolution, global Transformer, and hierarchical feature discriminators, providing a comprehensive and refined evaluation of image quality. …”
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Research on Monitoring Topping Time of Cotton Based on AdaBoost+Decision Tree by Yibai Li, Guangqiao Cao, Chao Ji, Dong Liu, Jinlong Zhang, Liang Li, Cong Chen

“…The output data of the fitting model is used as the input of the topping time discriminant model, and the discriminant model can obtain an accuracy of 94.03%. …”
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Could Selectively Skipping of the Repetitive Thinking Questionnaire among a Series of Self-Report Scales in a Study Be a Coping Strategy? by Ý. Volkan GÜLÜM, Ýhsan DAÐ

“…Results: To test our hypothesis series of ANOVA, MANOVA and discriminant analysis were conducted. According the variance analysis, the IRT group had more psychopathology symptoms and attachment anxiety than the LRT group and less than the HRT group. …”
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On the Differential Diagnosis of Anxious from Nonanxious Major Depression by means of the Hamilton Scales by George Konstantakopoulos, Vasilios G. Masdrakis, Manolis Markianos, Panagiotis Oulis

“…Additional HAM-D items, beyond those of ASF, discriminate A-MDD from NA-MDD. The ASF ≥7 criterion inflates false positives. …”
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Grounding Grid Electrical Impedance Imaging Method Based on an Improved Conditional Generative Adversarial Network by Ke Zhu, Donghui Luo, Zhengzheng Fu, Zhihang Xue, Xianghang Bu

“…Finally, the generator and discriminator continuously optimized the objective function and conducted adversarial training to achieve ground grid electrical impedance imaging. …”
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Target Threat Assessment in Air Combat Based on Improved Glowworm Swarm Optimization and ELM Neural Network by Yuan Cao, Ying-Xin Kou, An Xu, Zhi-Fei Xi

“…A target threat assessment algorithm based on linear discriminant analysis (LDA) and improved glowworm swarm optimization (IGSO) algorithm to optimize extreme learning machine (ELM) is proposed in this paper. …”
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