Theoretical Analyses of Different Nonlinear Compensation Methods Based on Perturbation Theories in the Unrepeatered System With Raman Amplification by You Wang, Wei Li, Muyang Mei, Zhongshuai Feng, Hao Zheng, YaoBing Chen

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Texture Evaluation and In Vivo Oral Tactile Perceptions of Cooked Wheat Pasta Sheets Partially Substituted with Pea Protein by Chengyi Yang, Sze Ying Leong, Jessie King, Esther H.-J. Kim, Marco P. Morgenstern, Mei Peng, Dominic Agyei, Kevin Sutton, Indrawati Oey

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Impact of Multiple-Laser Processing on the Low-Cycle Fatigue Behaviour of Laser-Powder Bed Fused AlSi10Mg Alloy by Arun Prasanth Nagalingam, Erkan Bugra Tureyen, Abdul Haque, Adrian Sharman, Ozgur Poyraz, Evren Yasa, James Hughes

“…The results also revealed that the gas flow becomes more pronounced with multiple-laser processing, where more spatter is generated due to the interactions of the lasers in a small scan area, and that reduced gas flow leads to fatigue degradation due to increased defect density. …”
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High-resolution modeling of glacier meltwater contributions to lake water level fluctuations in the Baishui River Glacier No.1 basin by Shoukat Ali Shah, Songtao Ai

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Structured Shared Spaces as a Basis for Building Business Process Support Systems: A Generic Model and Analysis of Examples by Ilia Bider, Paul Johannesson, Erik Perjons

“…In addition, the article goes in more details on one design issue – the structuring of shared spaces. …”
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Robust Infrared–Visible Fusion Imaging with Decoupled Semantic Segmentation Network by Xuhui Zhang, Yunpeng Yin, Zhuowei Wang, Heng Wu, Lianglun Cheng, Aimin Yang, Genping Zhao

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Radiologic text correction for better machine understanding by András Kicsi, Klaudia Szabó Ledenyi, László Vidács

“…Notably, our method identified over 30% more valid errors than human annotators, highlighting its efficiency. …”
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Morphometric analysis of neurons from the marginal and substantia gelatinosa layers of human spinal cord: Classification according to laminar organization by Milošević Nebojša T., Ristanović Dušan S., Stanković Jovan B., Nedeljkov Vladimir B.

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NLP-Based Approach for Identifying Quality Risk Factors in Steel Structure Construction by Yuhong Zhao, Jingyi Zhang, Enyi Mu

“…To address this, our study introduces a natural language processing (NLP) model algorithm to identify a list of quality risk factors. …”
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Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion by A-Seong Moon, Kyumin Kim, Jaesung Lee

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Identification and discrimination tasks in auditory and visual perception of linguistic and non-linguistic stimuli by Mercedes Amparo Muñeton Ayala, Claudia Fernanda Vasquez, Adelina Estevez

“… The importance of temporal processing related to age and schooling is explored in this study. …”
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Review on the current trends in tongue diagnosis systems by Chang Jin Jung, Young Ju Jeon, Jong Yeol Kim, Keun Ho Kim

“…Tongue diagnosis is an essential process to noninvasively assess the condition of a patient's internal organs in traditional medicine. …”
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Paradigm shifts: exploring AI's influence on qualitative inquiry and analysis by Ryan Thomas Williams

“…Nevertheless, AI may be embraced in qualitative research in a partial automation process that enables researchers to conduct rigorous, rapid studies that more easily incorporate the many benefits of qualitative research. …”
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Risk‐Taking Facilitates Implicit Learning in Young Adults by Amanda Cremone‐Caira, Melissa A. St. Hilaire

“…Results Generalized linear mixed models indicate that participants learned to make more advantageous decisions as they engaged in risk‐taking behaviors during the BELT. …”
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Applying neural network algorithms to ascertain reported experiences of violence in routine mental healthcare records and distributions of reports by diagnosis by Ava J. C. Mason, Vishal Bhavsar, Vishal Bhavsar, Riley Botelle, David Chandran, Lifang Li, Aurelie Mascio, Jyoti Sanyal, Giouliana Kadra-Scalzo, Angus Roberts, Marcus Williams, Marcus Williams, Robert Stewart, Robert Stewart

“…The observed distributions highlight which sex, ethnicity and diagnostic groups had more records of violence victimisation. Further development of these algorithms could usefully capture broader experiences, such as differentiating more efficiently between witnessed, perpetrated and experienced violence and broader violence experiences like emotional abuse.…”
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Exploring Sample Storage Conditions for the Mass Spectrometric Analysis of Extracted Lipids from Latent Fingerprints by Aleesa E. Chua, Eden P. Go, Heather Desaire

“…In large-scale studies, uncontrolled systematic variability introduced during sample preparation, processing, and storage can interfere with the detection of subtle biological signals. …”
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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

“…The complexity and high dimensionality of medical images make them suitable for analysis using GNNs, which can leverage the relationships between elements in the data, offering a more complex and complete analysis that can improve both the accuracy and efficiency of medical image processing tasks such as classification, segmentation, and detection of abnormalities. …”
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Classical Data in Quantum Machine Learning Algorithms: Amplitude Encoding and the Relation Between Entropy and Linguistic Ambiguity by Jurek Eisinger, Ward Gauderis, Lin de Huybrecht, Geraint A. Wiggins

“…The von Neumann entropy and the fidelity are used as measures of this mixedness. Via the process of <i>amplitude encoding</i>, we introduce classical data into quantum machine learning algorithms. …”
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Accurately Estimate and Analyze Human Postures in Classroom Environments by Zhaoyu Shou, Yongbo Yu, Dongxu Li, Jianwen Mo, Huibing Zhang, Jingwei Zhang, Ziyong Wu

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Improved Detection of Multiple Faint Streak-like Space Targets from a Single Star Image by Yong Han, Desheng Wen, Jie Li, Zhangchi Qiao

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