A novel proficiency test to assess the animal diagnostic investigation process in identifying an unknown toxicant by Andriy Tkachenko, Yang Chen, Marissa Petrey, Scott Fritz, Tim Walsh, David Rotstein, Megan R. Miller, Bruce Williams, Michael Dark, Matthew Kmet, Ravinder Reddy, Gregory Tyson, Sarah M. Nemser

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Investigation of sensory attenuation in the somatosensory domain using EEG in a novel virtual reality paradigm by Gianluigi Giannini, Till Nierhaus, Felix Blankenburg

“…We therefore developed a novel Virtual Reality (VR) setup which allows control over several of these confounding factors. …”
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Uncertainty Estimation in Unsupervised MR-CT Synthesis of Scoliotic Spines by Enamundram Naga Karthik, Farida Cheriet, Catherine Laporte

“…The aleatoric uncertainty helps in distinguishing between the bone and soft-tissue regions in CT and MR data during translation, while the epistemic uncertainty provides interpretable information to the user for downstream tasks.…”
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A novel machine learning methodology for the systematic extraction of chronic kidney disease comorbidities from abstracts by Eszter Sághy, Mostafa Elsharkawy, Frank Moriarty, Sándor Kovács, István Wittmann, Antal Zemplényi, Antal Zemplényi

“…Disease names in question were extracted from the selected abstracts using a novel entity relation extraction methodology. The resulting disease list and their corresponding abstracts were manually checked and a final disease list was created.FindingsThe SVM model gave the best results and was chosen for further training with active learning. …”
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Squeeze-and-Excitation Vision Transformer for Lung Nodule Classification by Xiaozhong Xue, Yanhe Ma, Weiwei Du, Yahui Peng

“…But due to the lack of interpretability for these models, it has not been widely applied in clinical. …”
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ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules’ malignancy by Xiaoxue Wang, Yupeng Niu, Hongli Liu, Fa Tian, Qiang Zhang, Yimeng Wang, Yeju Wang, Yijia Li

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Automated Evaluation of Crithidia luciliae Based Indirect Immunofluorescence Tests: A Novel Application of the EUROPattern-Suite Technology by Stefan Gerlach, Kai Affeldt, Lena Pototzki, Christopher Krause, Jörn Voigt, Johanna Fraune, Kai Fechner

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Pneumo-PET-CT: Initial Results of This Novel Technique on the Evaluation of Esophageal and Gastric Tumors with Anatomic-Surgical Correlation by Facundo N. Diaz, Marina Ulla, Jose M. Lastiri, Fernando G. Wright, Demetrio Cavadas

“…We present the initial results of a novel hybrid scanning-based technique that combines pneumo-computed tomography (PNCT) with positron emission tomography (PET) using 2-(fluorine-18) fluoro-2-deoxy-D-glucose (FDG). …”
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Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model by Qing Zhu, Kaijian He, Yingchao Zou, Kin Keung Lai

“…This paper proposes a novel morphological component analysis based hybrid methodology for modeling the multiscale heterogeneous characteristics of the price movement in the crude oil markets. …”
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A Novel Mechanism-Equivalence-Based Tweedie Exponential Dispersion Process for Adaptive Degradation Modeling and Life Prediction by Jiayue Wu, Yujie Liu, Han Wang, Xiaobing Ma, Yu Zhao

“…Furthermore, it improves prediction accuracy and interpretability by employing a dynamic testing–modeling–predicting strategy. …”
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A novel multi-source data-driven energy consumption prediction model for Venlo-type greenhouses in China by Yangda Chen, Aiqun Bao, Yapeng Li, Yingfeng Xiang, Wanlong Cai, Zhaoqiang Xia, Jialei Li, Mingyang Ning, Jing Sun, Haixi Zhang, Xianpeng Sun, Xiaoming Wei

“…To overcome the challenges concerning heterogeneity, redundancy, and interdependence among different data sources, this paper proposed a novel energy consumption method that integrates multi-source data through feature engineering and machine learning techniques, which significantly enhances the efficiency of data utilization and improves prediction accuracy. …”
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A Novel Mathematical Model for Fracturing Effect Evaluation Based on Early Flowback Data in Shale Oil Reservoirs by Yuhan Wang, Zhengdong Lei, Zhenhua Xu, Jie Liu, Xiaokun Zhang, Erhui Luo, Yuqi Liu, Pengcheng Liu

“…Finally, the reservoir reconstruction volume and the related hydraulic fracture parameters are estimated based on the material balance method, and the rationality of the model is verified via numerical simulation. The interpretation results of this novel model are more accurate, making it an effective way to evaluate the hydraulic fracture parameters and transformation effect, and it has guiding significance for the evaluation of the hydraulic fracturing effect in the field.…”
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Novel Mutations in the MKKS, BBS7, and ALMS1 Genes in Iranian Children with Clinically Suspected Bardet–Biedl Syndrome by Roghayeh Dehghan, Mahdiyeh Behnam, Mansoor Salehi, Roya Kelishadi

“…However, we identified a novel variant in the ALMS1 gene (c.10996delC, p.Q3666fs) indicative of Alström syndrome. …”
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Potential value of novel multiparametric MRI radiomics for preoperative prediction of microsatellite instability and Ki-67 expression in endometrial cancer by Zhichao Wang, Yan Hu, Jun Cai, Jinyuan Xie, Chao Li, Xiandong Wu, Jingjing Li, Haifeng Luo, Chuchu He

“…This study aimed to develop a novel hybrid radiomics approach integrating multiparametric magnetic resonance imaging (MRI), deep learning, and multichannel image analysis for predicting MSI and Ki-67 status. …”
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A Novel Multiplex LAMP Assay for the Rapid and Accurate Diagnosis of Visceral Leishmaniasis Caused by Leishmania infantum from Iran by Sahar Samsami, Sahar Namavari, Saeed Ataei, Abdolmajid Ghasemian, Ava Yazdanpanah, Neda Sepahi, Gholamreza Hatam, Hossein Faramarzi, Hadi Mirzaei, Razie Ranjbar, Ali Ghanbariasad

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Warped matrix-variate Gaussian processes with structured kernels for multi-step-ahead driving behaviour prediction by Seiya Takano, Tomohiko Jimbo

“…This study proposes a novel probabilistic model called the matrix-variate Gaussian process (GP) with structured kernels while focusing on the periodicity. …”
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Early identification of dropouts during the special forces selection program by Ruud J. R. den Hartigh, Rik Huijzer, Frank J. Blaauw, Age de Wit, Peter de Jonge

“…Additionally, we found that dropout could often be predicted multiple weeks in advance. These findings offer novel insights in the use of prediction models on psychological and physical processes, specifically in the context of special forces selection. …”
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Development and design validation of a novel network meta-analysis presentation tool for multiple outcomes: a qualitative descriptive study by Lehana Thabane, Jason W Busse, Behnam Sadeghirad, Gordon H Guyatt, Mohit Bhandari, Romina Brignardello-Petersen, Fernando Kenji Nampo, Carlos A Cuello-Garcia, Raveendhara R Bannuru, Mark R Phillips, Yu Jia Guo, Sofia Bzovsky

“…Feedback ultimately resulted in two presentation versions, each preferred by a substantial group of participants, and development of a legend to facilitate interpretation.Conclusion Iterative design validation facilitated the development of two novel formats for presenting minimally or partially contextualised NMA results for multiple outcomes. …”
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A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model by Yinglong Dang, Xiaoguang Gao, Zidong Wang

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“If Jesus lived today, he would smell like smoke”: Contemporary Visions of Jesus Christ in Philip Pullman’s Novel and Tumblr Blogs by Danijela Petković

“…The interpretation of Pullman’s novel and the selected poems is placed within the context of past and current struggles over the historicity, human/divine status, and politics of Jesus Christ. …”
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