Joint Character-Level Convolutional and Generative Adversarial Networks for Text Classification by Tianshi Wang, Li Liu, Huaxiang Zhang, Long Zhang, Xiuxiu Chen

“…Extensive experimental validation on four public datasets demonstrates that our method significantly performs better than the comparative methods.…”
Get full text

Effects of search intent on eye-movement patterns in a change detection task by Sangil Lee, Minho Lee, Hyeonggyu Park, Mun-Seon Chang, Ho-Wan Kwak

“…We attempted to generate three types of intent amongst the study participants, dividing them into one of three conditions; each condition received different information regarding an impending change to the visual stimuli. …”
Get full text

Monitoring Construction Workers’ Mental Workload Due to Heat Exposure Using Heart Rate Variability and Eye Movement: A Study on Pipe Workers by Shiyi He, Dongsheng Qi, Enkai Guo, Liyun Wang, Yewei Ouyang, Lan Zheng

“…Inexperienced pipe workers (<i>n</i> = 30) were invited to perform an installation task in a normothermic (26 °C, 50% RH) and a hyperthermic (33 °C, 50% RH) condition. …”
Get full text

Gallbladder Polyps: Epidemiology, Natural History and Management by Robert P Myers, Eldon A Shaffer, Paul L Beck

“…Most affected individuals are asymptomatic, and their gallbladder polyps are detected during abdominal ultrasonography performed for unrelated conditions. Although the majority of gallbladder polyps are benign, most commonly cholesterol polyps, malignant transformation is a concern. …”
Get full text

Perceived-teacher presenteeism scale: A scale development study by Zülfü Demirtaş, Alper Uslukaya, Müslim Alanoğlu

“…Finally, the test-retest performed to test its stability showed that the scale was stable. …”
Get full text

Good practice for assignment of breeds and populations—a review by H. Wilmot, H. Wilmot, N. Gengler

“…After an appropriate quality control of markers and the building of a representative reference population, three main steps can be followed to develop a genomic breed/population assignment tool: 1) The selection of discriminant markers, 2) The development of a model that allows accurate assignment of animals to their breed/population of origin, the so-called classification step, and, 3) The validation of the developed model on new animals to evaluate its performances in real conditions. …”
Get full text

Multivariate analysis of immunosenescence data in healthy humans and diverse diseases by Ana Laura Añé-Kourí, Ana Laura Añé-Kourí, Jorge Luis Palomino, Patricia Lorenzo-Luaces, Lizet Sanchez, Nuris Ledon, Karla Pereira, Jenysbel de la Caridad Hernandez, Gisela María Suárez, Beatriz García, Amnely González, Danay Saavedra, Danay Saavedra, Agustin Lage

“…To determine whether there are groups of immunologically different individuals despite their age or clinical condition, cluster analysis was performed. Canonical discriminant analysis was performed to determine which variables characterize each cluster.ResultsThere are differences in the expression of immunosenescence markers between healthy subjects and patients diagnosed with different pathological conditions, regardless of their age. …”
Get full text

Apple Detection via Near-Field MIMO-SAR Imaging: A Multi-Scale and Context-Aware Approach by Yuanping Shi, Yanheng Ma, Liang Geng

“…DSPP employs a learnable adaptive mechanism to dynamically adjust multi-scale feature representations, enhancing sensitivity to apple targets of varying sizes and distributions; RFN uses a multi-round iterative feature fusion strategy to gradually refine semantic consistency and stability, improving the robustness of feature representation under weak texture and high noise scenarios; and the CAFE module, based on attention mechanisms, explicitly models global and local associations, fully utilizing the scene context in texture-poor SAR conditions to enhance the discriminability of apple targets. …”
Get full text

Development of methodological approaches to the formation of a risk-based model to minimize the prevalence of adverse reactions in drug application in medical organizations of Mosc... by E. V. Kuznetsova, M. V. Zhuravleva, I. A. Mikhailov, T. I. Kurnosova

“…The study was performed in two stages. In the first stage, a statistical method was used (classical multiple regression, linear discriminant analysis, factor analysis, principal component regression, partial least squares regression, estimation of variance accuracy); at the second stage a modeling method was used. …”
Get full text

The role of chromosomal rearrangements, polyploidy, and genome size variation in the diversity and ecological distribution of Asparagus L. species: a landscape cytogenetics meta-an... by Parisa Fouroutan, Masoud Sheidai, Fahimeh Koohdar

“…We used discriminant analysis of principal components (DAPC) to group Asparagus taxa based on karyotype and chromosome pairing data. …”
Get full text

A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…However, limited by the cost and conditions of ISAR image acquisition, it is relatively difficult to obtain large-scale sample data, which makes it difficult to obtain target deep features with good discriminability by using the currently popular deep learning method. …”
Get full text

Adaptive differential current relay based on form/ripple factors for busbar current signals by R. A. Mahmoud

“…The simulation results manifest the functional efficiency of the suggested technique under diverse operating and fault conditions and its ability to discriminate fault location. …”
Get full text

Streamlined Quantification of p-γ-H2AX Foci for DNA Damage Analysis in Melanoma and Melanocyte Co-cultures Exposed to FLASH Irradiation Using Automated Image Cytometry by Stefana Orobeti, Ioana Dinca, Alexandra Bran, Ion Tiseanu, Felix Sima, Stefana Petrescu, Livia Sima

“…This protocol can be performed on any type of cancer cells, and our gating strategy to discriminate cells in co-culture can also be used in other research applications.…”
Get full text

Analysis of Paired Primary-Metastatic Hormone-Receptor Positive Breast Tumors (HRPBC) Uncovers Potential Novel Drivers of Hormonal Resistance. by Luis Manso, Silvana Mourón, Michael Tress, Gonzalo Gómez-López, Manuel Morente, Eva Ciruelos, Miriam Rubio-Camarillo, Jose Luis Rodriguez-Peralto, Miguel A Pujana, David G Pisano, Miguel Quintela-Fandino

“…Genes determining the most parsimonious prognostic signature were studied for their functional role in vitro, by performing cell growth assays in hormonal-deprivation conditions, a setting that mimics treatment with aromatase inhibitors. …”
Get full text

Fault analysis on deep groove ball bearing using ResNet50 and AlexNet50 algorithms by Vedant Jaiswal, Narendiranath Babu T, Pandiyan Murugan, Rama Prabha D

“…Training on various algorithms is performed, noting and storing the probability of correct prediction for comparison. …”
Get full text

Improved UWB-based indoor positioning system via NLOS classification and error mitigation by Shoude Wang, Nur Syazreen Ahmad

“…We extract multiple features from the UWB Channel Impulse Response (CIR) and perform correlation analysis using the Pearson Correlation Coefficient (PCC) to select the most discriminative features via the SVM-RFE algorithm. …”
Get full text

Altered neural avalanche spreading in people with drug-resistant epilepsy✰ by B.M. Sancetta, M.A.G. Matarrese, L. Ricci, J. Lanzone, G. Lippa, M. Nesta, F. Zappasodi, M. Brunetti, V. Di Lazzaro, M. Tombini, G. Assenza

“…Logistic regression was performed to test and compare the ability of graph theory metrics on ATM and clinical features to correctly discriminate the PwE group according to the clinical outcome (DRE or non-DRE). …”
Get full text

Evaluation and identification of high yielding and stable cowpea genotypes using GGE biplot and joint regression analysis for varietal development in East and Southern Africa by Michael M. Chipeta, Esnart Nyirenda Yohane, John Kafwambira, Mussa Tamba, Henriques Colial

“…Overall, Chitedze Research Station in Malawi and Nametil Research Station in Mozambique were both discriminating and representative, indicating that they are good test environments for selecting best-performing genotypes that can perform well across a wide range of conditions. …”
Get full text

Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features by Yulin Wang, Tao Song, Yichen Yang, Zheng Hong

“…An adaptive cross-scale feature fusion layer is designed using a normalized Gaussian function to perform feature fusion among different granularities, guiding the model to focus on discriminative feature representations among similar behaviors through fine-grained features. …”
Get full text

Integral approach to organelle profiling in human iPSC-derived cardiomyocytes enhances in vitro cardiac safety classification of known cardiotoxic compounds by Brigitta R. Szabo, Brigitta R. Szabo, Jeroen Stein, Anna Savchenko, Thomas Hutschalik, Thomas Hutschalik, Filip Van Nieuwerburgh, Tim Meese, Georgios Kosmidis, Paul G. A. Volders, Elena Matsa, Elena Matsa, Elena Matsa, Elena Matsa

“…Dimensionality reduction and clustering of the data were performed using principal component analysis (PCA) and sparse partial least squares discriminant analysis (sPLS-DA).ResultsBoth supervised and unsupervised clustering revealed patterns associated with known clinical side effects. …”
Get full text