Breast mass classification based on supervised contrastive learning and multi‐view consistency penalty on mammography by Lilei Sun, Jie Wen, Junqian Wang, Zheng Zhang, Yong Zhao, Guiying Zhang, Yong Xu

“…For the different predictions of the features extracted from the CC view and MLO view of the same breast mass, the proposed algorithm forces the network to extract the consistent features from the two views by the cross‐entropy function with an added consistent penalty term. To exploit the discriminative features from the insufficient mammographic images, the authors learnt an encoder in the classification model to learn the invariable representations from the mammographic breast mass by Supervised Contrastive Learning (SCL) to weaken the side effect of colour jitter and illumination of mammographic breast mass on image quality degradation. …”
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Degree of Acute Kidney Injury before Dialysis Initiation and Hospital Mortality in Critically Ill Patients by Charuhas V. Thakar, Annette Christianson, Peter Almenoff, Ron Freyberg, Marta L. Render

“…In a multicenter observational cohort of patients-admitted to intensive care units (ICU), we assessed whether creatinine elevation prior to dialysis initiation in acute kidney injury (AKI-D) further discriminates risk-adjusted mortality. AKI-D was categorized into four groups (Grp) based on creatinine elevation after ICU admission but before dialysis initiation: Grp I  > 0.3 mg/dL to <2-fold increase, Grp II ≥2 times but <3 times increase, Grp III ≥3-fold increase in creatinine, and Grp IV none or <0.3 mg/dl increase. …”
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Experimental opisthorchiasis: a study of blood cells, hematopoiesis and startle reflex in laboratory animals by D. F. Avgustinovich, I. A. Orlovskaya, L. B. Toporkova, G. B. Vishnivetskaya, A. V. Katokhin, M. N. Lvova, E. V. Kashina, N. P. Bondar, N. A. Feofanova, V. A. Mordvinov

“…The expression of the startle reaction and the value of pre-pulse inhibition were discriminated in animals of two species. Infected hamsters had no reaction of habituation  to the sound stimulus. …”
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Inferring 3D displacement time series through InSAR measurements and potential field theory in volcanic areas by Andrea Barone, Maurizio Fedi, Antonio Pepe, Pietro Mastro, Pietro Tizzani, Raffaele Castaldo

“…Moreover, InSAR can discriminate the ground deformations along the Up-Down and East-West by combining information gathered through ascending and descending paths. …”
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Combined semiquantitative nail-enthesis complex ultrasonography and capillaroscopy in psoriasis and psoriatic arthritis by Giacomo Cafaro, Roberto Bursi, Valentina Valentini, Katharina Hansel, Carlo Perricone, Vincenzo Venerito, Onelia Bistoni, Manuela Sebastiano, Fabiana Topini, Luca Stingeni, Roberto Gerli, Elena Bartoloni

“…Factor analysis elucidates collinearity in US-detected characteristics, while suggesting limited discriminative power of some quantitative parameters. …”
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Liquid Chromatography-Mass Spectrometry-Based Metabolomic Analysis of Metabolites and Metabolic Pathways of Selenium-Enriched Auricularia auricula by YUE Shibo, CUI Hang, SHEN Qin, CAO Dongmei

“…The effect of selenization on the dynamic changes of metabolic pathways and metabolites in A. auricula was investigated using liquid chromatography-mass spectrometry (LC-MS)-based metabolomics combined with different multivariate statistical analyses such as principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), and hierarchical cluster analysis. …”
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…Feature fusion is performed using Linear Discriminant Analysis (LDA) to create a unified feature set, which is then classified using ResNet50 (Residual Neural Network) to recognize activities such as using a smartphone, cooking, and reading a newspaper. …”
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Spatial Distribution of Genetic, Ploidy, and Morphological Variation of the Edaphic Steno-Endemic <i>Alyssum moellendorfianum</i> (Brassicaceae) from the Western Balkans by Jasna Hanjalić Kurtović, Belma Kalamujić Stroil, Sonja Siljak-Yakovlev, Naris Pojskić, Adaleta Durmić-Pašić, Alma Hajrudinović-Bogunić, Lejla Lasić, Lejla Ušanović, Faruk Bogunić

“…Morphometric analysis via principal component analysis (PCA) and canonical discriminant analysis (CDA) did not reveal any divergence between diploid and tetraploid cytotypes. …”
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Evaluating Long-Term Strength and Time to Failure of Sandstone with Different Initial Damage by Rongbin Hou, Yanke Shi, Leige Xu, Jinwei Fu, Kai Zhang

“…., the isochronous stress-strain curve method, the steady creep discriminated method, the volumetric strain inflexion point determined method, and the intersection of the steady creep rate method). …”
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Masked Modeling-Based Ultrasound Image Classification via Self-Supervised Learning by Kele Xu, Kang You, Boqing Zhu, Ming Feng, Dawei Feng, Cheng Yang

“…This indicates the superiority of our pre-training method and its ability to extract discriminative features from ultrasound data, even in the presence of hard examples.…”
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Predictive and Prognostic Factors of Synchronous Colorectal Lung-Limited Metastasis by Yuqiang Li, Zhongyi Zhou, Da Liu, Ming Zhou, Fengbo Tan, Wenxue Liu, Hong Zhu

“…A multivariate regression analysis discriminated 9 independent prognostic factors, including age, race, marital status, pathological grade, T stage, colectomy/proctectomy, chemotherapy, CEA, and TD. …”
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Comprehensive Characterization of the Odor-Active Compounds in Different Processed Varieties of Yunnan White Tea (<i>Camellia sinensis</i>) by GC×GC-O-MS and Chemometrics by Junaid Raza, Baosong Wang, Yue Duan, Huanlu Song, Ali Raza, Dongfeng Wang

“…The orthogonal partial least squares discriminant analysis (OPLS-DA) model showed strong validity and stability. …”
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Responses of an <i>In Vitro</i> Coculture Alveolar Model for the Prediction of Respiratory Sensitizers (ALIsens^®) Following Exposure to Skin Sensitizers and Non-Sensitiz... by Sabina Burla, Aline Chary, Tommaso Serchi, Sébastien Cambier, Kristie Sullivan, Elizabeth Baker, Nikaeta Sadekar, Arno C. Gutleb

“…The results demonstrate that ALIsens^® is a promising <i>in vitro</i> complex model that could successfully discriminate respiratory sensitizers from skin sensitizers and non-sensitizers. …”
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Pediatric kidney transplant recipients are at an increased risk for dysbiosis by Gizem Yılmaz, Seha Saygılı, Ayşe Ağbaş, Esra Karabağ Yılmaz, Ahmet Variş, Nur Canpolat

“…Taxonomic profiles were evaluated with QIIME2, and differences in gut microbiota profiles were compared using linear discriminant analysis effect size (LEFSe) with an LDA threshold of &gt;2 and p &lt; 0.05.ResultsNo significant differences were found in alpha and beta diversity between the KTx recipients and healthy controls. …”
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FIGO 2023 staging system predicts not only survival outcome but also recurrence pattern in corpus-confined endometrial cancer patients by Hua-Hsi Wu, Hung-Tse Chou, Shih-Yao Lin, Chiung-Ru Lai, Yi-Jen Chen

“…This study aimed to verify whether the FIGO 2023 staging system could discriminate outcomes. Materials and methods: Between January 2010 and March 2019, 536 FIGO 2009 stage I patients were eligible for this retrospective cohort study. …”
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Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation by Hector R. Martinez, Alexis Garcia-Sarreon, Carlos Camara-Lemarroy, Fortino Salazar, María L. Guerrero-González

“…Kinematic data obtained with this markerless system could contribute to discriminate between PD patients and healthy controls. …”
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Predictive Value of Systemic Immune Inflammation Index for Postoperative Atrial Fibrillation in Patients Undergoing Isolated Coronary Artery Bypass Grafting by Murat Selçuk, Tufan Çınar, Faysal Şaylık, Selami Doğan, Ismail Selçuk, Ahmet L. Orhan

“…Additionally, SII had a better discriminative ability for PoAF compared to either NLR or PLR among these cases.…”
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Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images by Ting Shen MsD, Jiehui Jiang PhD, Jiaying Lu MD, Min Wang MsD, Chuantao Zuo MD, PhD, Zhihua Yu, Zhuangzhi Yan PhD

“…We aimed to develop a new deep belief network (DBN) framework using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) metabolic imaging to identify patients at the mild cognitive impairment (MCI) stage with presymptomatic AD and to discriminate them from other patients with MCI. Methods: 18F-fluorodeoxyglucose-PET images of 109 patients recruited in the ongoing longitudinal Alzheimer’s Disease Neuroimaging Initiative study were included in this analysis. …”
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Complementarity-Oriented Feature Fusion for Face-Phone Trajectory Matching by Changfeng Cao, Wenchuan Zhang, Hua Yang, Dan Ruan

“…The latent features from both transforming directions are concatenated in the Feature Unifying (FU) module and fed into a binary face-phone trajectory matching discriminator (FPTPMD) to infer whether a face-phone trajectory pair corresponds to the same underlying motion trajectory. …”
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Coupling of an Au@AgPt nanozyme array with an micrococcal nuclease-specific responsiveness strategy for colorimetric/SERS sensing of Staphylococcus aureus in patients with sepsis by Xueqin Huang, Yingqi Yang, Hanlin Zhou, Liping Hu, Annan Yang, Hua Jin, Biying Zheng, Jiang Pi, Jun Xu, Pinghua Sun, Huai-Hong Cai, Xujing Liang, Bin Pan, Junxia Zheng, Haibo Zhou

“…Meanwhile, the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis (n = 7) and healthy participants (n = 3), as well as monitored the prognostic progression of the disease (n = 2). …”
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