Speech Emotion Recognition Model Based on Joint Modeling of Discrete and Dimensional Emotion Representation by John Lorenzo Bautista, Hyun Soon Shin

“…This paper introduces a novel joint model architecture for Speech Emotion Recognition (SER) that integrates both discrete and dimensional emotional representations, allowing for the simultaneous training of classification and regression tasks to improve the comprehensiveness and interpretability of emotion recognition. …”
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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

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A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical Networks by Nouman Imtiaz, Abdul Wahid, Syed Zain Ul Abideen, Mian Muhammad Kamal, Nabila Sehito, Salahuddin Khan, Bal S. Virdee, Lida Kouhalvandi, Mohammad Alibakhshikenari

“…This research introduces XIoT, which is a novel explainable IoT attack detection model designed to address these challenges. …”
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The O28 Antigen Gene Clusters of Salmonella enterica subsp. enterica Serovar Dakar and Serovar Pomona Are Different by Clifford G. Clark, Christopher C. R. Grant, Keri M. Trout-Yakel, Helen Tabor, Lai-King Ng, Kris Rahn, Kristyn Franklin, Andrew M. Kropinski

“…Dakar O28 gene cluster, suggesting that the O antigen oligosaccharides may contain one or more sugars conferring the O28 epitope but may otherwise be different. These novel findings are absolutely critical for the correct interpretation of molecular serotyping assays targeting genes within the O antigen gene clusters of these Salmonella serotypes and suggest the possibility that the O antigen gene clusters of other Salmonella serovars may also be heterogenous.…”
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The Application of Literary Theories in Literary Texts by Sandy Ferianda

“…The primary source was some of the literary theories in the literary works such as novel and short stories. The secondary source was gathered through reading journals, articles, and books. …”
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‘DeltaCAN - A new data set of Canadian Arctic and subarctic coastal deltas’ by Mette Bendixen, Beatrice Roberge, Jenny Park, David Didier, Antoine Boisson, Haley Yorston, Lindsay Trottier, Ashley Hoblyn, Jackie Lee, Sadie MacDonald, Shan Zhao, Lauren Traboulsee, Arthur Rebillard, Lars Lønsmann Iversen

“…Here, we present DeltaCAN, a novel data set on the locations of Canadian deltas larger than 500 m in width derived by visual interpretation of freely available satellite imagery. …”
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Microfluidic Assays for CD4 T Lymphocyte Counting: A Review by Zhuolun Meng, Hassan Raji, Mahtab Kokabi, Deng Zou, James Chan, Qihao Liu, Ruifeng Zhang, Mehdi Javanmard

“…Flow cytometry remains the gold standard for enumerating CD4 T cells; however, flow cytometers are expensive, difficult to transport, and require skilled medical staff to prepare samples, operate the equipment, and interpret results. This highlights the critical need for novel, rapid, cost-effective, and portable methods of CD4 enumeration that are suitable for deployment in resource-limited countries. …”
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Intelligent emergency assisted decision-making method based on standard digitalization: Hazardous chemical accidents in industrial parks by Zhenxiang Tao, Xiaohan Liu, Ying Li, Peifeng Hu, Weitong Tang, Ning Luo, Jiansong Wu, Rui Yang

“…To address these issues, we propose a novel approach: an intelligent method for emergency decision-making grounded in a standardized digital knowledge graph. …”
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Dynamic allostery in the peptide/MHC complex enables TCR neoantigen selectivity by Jiaqi Ma, Cory M. Ayres, Chad A. Brambley, Smita S. Chandran, Tatiana J. Rosales, W. W. J. Gihan Perera, Bassant Eldaly, William T. Murray, Steven A. Corcelli, Evgenii L. Kovrigin, Christopher A. Klebanoff, Brian M. Baker

“…Our findings thus reveal a novel mechanism driving TCR specificity for a cancer neoantigen that is rooted in the dynamic and allosteric nature of peptide/MHC-I binding grooves, with implications for resolving long-standing and often confounding questions about T cell specificity.…”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

“…This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. …”
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The Effects of Different Phase on Independent Visual Fields SSVEP Responses by Dalu Zheng, Songyun Xie, Xinzhou Xie, Michael Scholz, Hao Tang

“…We propose “independent visual field stimulation” (IVFS), utilizing a head-mounted display (HMD) as a novel experimental paradigm to improve the interpretability of SSVEP responses. …”
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Polarization Scattering Regions: A Useful Tool for Polarization Characteristic Description by Jiankai Huang, Jiapeng Yin, Zhiming Xu, Yongzhen Li

“…This study introduces the concept of polarization scattering regions as a novel tool for describing the polarization characteristics across three spectral regions: the polarization Rayleigh region, the polarization resonance region, and the polarization optical region. …”
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CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

“…The deep equilibrium model (DEQ) serves as a novel deep network framework that directly computes fixed points using analytical methods, theoretically allowing for infinite forward iterations while maintaining constant memory requirements. …”
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GFTT: Geographical Feature Tokenization Transformer for SAR-to-Optical Image Translation by Hongbo Liang, Xuezhi Yang, Xiangyu Yang, Jinjin Luo, Jiajia Zhu

“…Synthetic aperture radar (SAR) image to optical image translation not only assists information interpretability, but also fills the gaps in optical applications due to weather and light limitations. …”
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Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification by Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

“…This paper aims at developing new theory-driven biomarkers by implementing and evaluating novel techniques from resting-state scans that can be used in relapse prediction for nicotine-dependent patients and future treatment efficacy. …”
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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach by Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif

“…Our model does not need clinically observed plasma concentration-time data; this is a novel capability not previously achieved in predictive pharmacokinetic models. …”
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Diagnosis of Water-Influx Locations of Horizontal Well Subject to Bottom-Water Drive through Well-Testing Analysis by Jiazheng Qin, Shiqing Cheng, Youwei He, Dingyi Li, Le Luo, Xinzhe Shen, Haiyang Yu

“…By using Green’s functions and the Newman-product method, the novel transient pressure solutions of an HW can be obtained in the anisotropic reservoir with bottom-water drive. …”
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Exploring how PRIME-Parkinson care is implemented and whether, how and why it produces change, for who and under what conditions: a protocol for an embedded process evaluation with... by Yoav Ben-Shlomo, Sabi Redwood, Judi Kidger, Emma Tenison, Heather Brant, Emily J Henderson, Fiona Lithander, Katherine Lloyd, Safi Smith

“…Given that this intervention is novel and complex, understanding whether and how the intervention will be acceptable, implementable, cost-effective and scalable across contexts are key questions beyond that of whether ‘it works’. …”
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Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques by Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, Md Abdul Hamid, Md Zia Uddin, Md Mohsin Kabir, M. F. Mridha

“…To address these, we propose a novel coordination model aimed at improving detection accuracy and reliability through a multi-model ensemble approach. …”
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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

“…Finally, we summarize relevant data and highlight cases where various computational approaches were successfully applied to develop novel inhibitors, as presented during the ISTH 2024 Congress.…”
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