Analysis of the c.1135G > A, c.1993A > G, c.2059T > C TAP2 gene variants and their relationship with latent tuberculosis infection in Mexico by Gerardo Cazarez-Navarro, Ivan Hernández-Cañaveral, Ana Gabriela Colima-Fausto, Jaime Palomares-Marín, Karel Licona-Lasteros, Ana Laura Pereira-Suarez, Sergio Yair Rodríguez-Preciado

“…Genotyping of the polymorphisms was performed using the Applied Biosystems Step One Thermal Cycler Real-Time PCR allelic discrimination technology. …”
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Toward Causal and Evidential Open-Set Temporal Action Detection by Zhuoyao Wang, Rui-Wei Zhao, Rui Feng, Cheng Jin

“…To address these issues, this paper proposes a novel Causal and Evidential Open-set Temporal Action Detection model named CEO-TAD for improved OSTAD performance. It accomplishes expressive video feature pyramid extraction, discriminative causal action feature representation learning, and reliable EDL-based prediction uncertainty estimation with our tailored network architectures and modified loss functions. …”
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Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems. by Mirco Boschetti, Francesco Nutini, Giacinto Manfron, Pietro Alessandro Brivio, Andrew Nelson

“…Such flooding, followed by rapid vegetation growth, is a reliable indicator to discriminate rice. Spectral indices (SIs) are often used to perform this task. …”
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Prospective evaluation of plasma proteins in relation to surgical endometriosis diagnosis in the Nurses’ Health Study IIResearch in context by Naoko Sasamoto, Long H. Ngo, Allison F. Vitonis, Simon T. Dillon, Maryam Aziz, Amy L. Shafrir, Stacey A. Missmer, Towia A. Libermann, Kathryn L. Terry

“…Methods: We examined the association between 1305 proteins measured by SomaScan proteomics and risk of endometriosis diagnosis in prospectively collected plasma from 200 laparoscopically-confirmed endometriosis cases and 200 risk-set sampling matched controls within the Nurses’ Health Study II (NHSII) cohort. Using conditional logistic regression, we calculated odds ratios (OR) and 95% confidence intervals (CI) per one standard deviation increase in protein levels and area under the curve (AUC) to assess the multi-protein model in discriminating cases from controls. …”
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Clinical Molecular Immunohistochemistry Mismatch Repair Mutations in Lynch Syndrome in Patients Under 50 Years: A Systematic Review by Bogdan Adrian Manta, Adrian Cosmin Ilie, Felicia Marc, Daciana Nistor, Patricia Octavia Mazilu, Claudia Borza

“…Quality assessment was performed using recommended scales for observational studies. …”
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Reduced response to regadenoson with increased weight: An artificial intelligence–based quantitative myocardial perfusion study by Emmanouil Androulakis, Georgios Georgiopoulos, Alessia Azzu, Elena Surkova, Adam Bakula, Panagiotis Papagkikas, Alexandros Briasoulis, Ranil De Silva, Peter Kellman, Dudley Pennell, Francisco Alpendurada

“…Both weight and BSA had excellent discriminative ability for inadequate regadenoson response (receiver operating characteristic area under curves 0.84 and 0.83, respectively). …”
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Variance Entropy: A Method for Characterizing Perceptual Awareness of Visual Stimulus by Meng Hu, Hualou Liang

“…We evaluated the performance of VarEn in comparison with SampEn on LFP, at both single and multiple scales, in discriminating different perceptual conditions. …”
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Exposure to hate in online and traditional media: A systematic review and meta‐analysis of the impact of this exposure on individuals and communities by Pablo Madriaza, Ghayda Hassan, Sébastien Brouillette‐Alarie, Aoudou Njingouo Mounchingam, Loïc Durocher‐Corfa, Eugene Borokhovski, David Pickup, Sabrina Paillé

“…Meta‐analyses related to four dimensions were performed: Attitudinal changes, Intergroup dynamics, Interpersonal behaviors, and Psychological effects. …”
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A domain generalization network for imbalanced machinery fault diagnosis by Yu Guo, Guangshuo Ju, Jundong Zhang

“…Abstract Traditional models for Imbalanced Fault Diagnosis (IFD) face challenges in practical applications due to domain shifts caused by varying working conditions and machinery. Domain Generalization (DG) models provide an advantage over traditional approaches by learning class-discriminative and domain-invariant feature representations, allowing them to generalize to unseen target data. …”
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Predicting In-Hospital Mortality in Myocardial Infarction: A Nomogram-Based Retrospective Analysis of the MIMIC-IV Database by Peng S, Chen Q, Ke W, Wu Y

“…Moreover, the web calculator and nomogram performed exceptionally well at predicting in-hospital death in myocardial infarction patients. …”
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NK-like T cells and plasma cytokines, but not anti-viral serology, define immune fingerprints of resilience and mild disability in exceptional aging. by Abbe N Vallejo, David L Hamel, Robert G Mueller, Diane G Ives, Joshua J Michel, Robert M Boudreau, Anne B Newman

“…Based on results of physical and cognitive performance testing, elders were classified as "impaired" or "unimpaired", accuracy of group assignment was verified by discriminant function analysis. …”
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Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios by Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao

“…This deficiency hinders the extraction of discriminative features and degrades the performance of frame-based traffic object detection. …”
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Fuzzy Comprehensive Evaluation of Aging State of Silicone Rubber Sheds of Composite Insulators by Sihua WANG, Long CHEN, Junjun WANG, Lei ZHAO

“…Case study shows that the proposed model can accurately and efficiently discriminate the state of composite insulators, which can provide a basis for the condition maintenance of composite insulators.…”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…The model comprises a conditional encoder, a series of invertible flows, a style discriminator, and two conditional decoders. …”
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UAV object tracking algorithm based on spatial saliency-aware correlation filter by Changhui Wu, Jinrong Shen, Kaiwei Chen, Yingpin Chen, Yuan Liao

“…The experimental results reveal that this method outperforms others in tracking performance under various challenging conditions.…”
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The limits of metacognitive control during perceptual decision-making: opting out without improving accuracy by Rawa Al Dowaji, Ji Xu, Yimeng Jin, Antoine Porte, Johan Lauwereyns, Johan Lauwereyns, Johan Lauwereyns

“…We hypothesized that, with an option to skip, participants would strategically opt out of trials in which they were uncertain, thus reducing their error rates and improving their overall performance. In Experiments 1 and 2, we compared conditions under time pressure with versus without a skip option. …”
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Challenges in achieving the UNAIDS 95-95-95 targets: evaluation of the antiretroviral therapy program among adult HIV/AIDS patients at Woldia General Hospital, Northeast Ethiopia by Seada Seid, Mezgebu Yitayal, Lake Yazachew, Abdurahman Arega, Tilahun Dessie, Hassen Ahmed Yesuf, Jemila Seid Hassen, Abdulaziz Kebede Kassaw, Ali Yimer

“…Bivariable analysis was performed to identify variables with p-values less than 0.2 as potential candidates for multivariable logistic regression, with statistical significance set at p < 0.05. …”
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Intelligent Fault-Tolerant Control of Delta Robots: A Hybrid Optimization Approach for Enhanced Trajectory Tracking by Carlos Domínguez, Claudio Urrea

“…Results show that the methodology achieves perfect fault diagnosis accuracy across four classifiers and enhances robot performance by reducing critical degradation to moderate levels under multiple faults. …”
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Improving protection reliability of series‐compensated transmission lines by a fault detection method through an ML‐based model by Hossein Ebrahimi, Sajjad Golshannavaz, Amin Yazdaninejadi, Edris Pouresmaeil

“…The obtained results confirm the remarkable performance of the proposed method in discriminating fault types, faulty phases, internal or external faults, and normal or power‐swing conditions of the power system.…”
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Bearing Fault Detection Using Multi-Scale Fractal Dimensions Based on Morphological Covers by Pei-Lin Zhang, Bing Li, Shuang-Shan Mi, Ying-Tang Zhang, Dong-Sheng Liu

“…The MFDs can provide more discriminative information about the signals than the single global fractal dimension. …”
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