Emotion-Recognition System for Smart Environments Using Acoustic Information (ERSSE) by Gabriela Santiago, Jose Aguilar, Rodrigo García

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Disease network analysis to reveal comorbidity patterns in hospitalized patients with COPD using large-scale administrative health data by Yanchu Li, Hang Qiu

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tomoseqr: A Bioconductor package for spatial reconstruction and visualization of 3D gene expression patterns based on RNA tomography. by Ryosuke Matsuzawa, Daichi Kawahara, Makoto Kashima, Hiromi Hirata, Haruka Ozaki

“…RNA tomography computationally reconstructs 3D spatial gene expression patterns genome-widely from 1D tomo-seq data, generated by RNA sequencing of cryosection samples along three orthogonal axes. …”
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Spatiotemporal pattern analysis of land use in Jiangsu Province based on long-term time series remote sensing images by Zhendong Ji, Lingzhi Yin, Jinhong Wang

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Deep learning integration of chest computed tomography and plasma proteomics to identify novel aspects of severe COVID-19 pneumonia by Yucai Hong, Lin Chen, Yang Yu, Ziyue Zhao, Ronghua Wu, Rui Gong, Yandong Cheng, Lingmin Yuan, Shaojun Zheng, Cheng Zheng, Ronghai Lin, Jianping Chen, Kangwei Sun, Ping Xu, Li Ye, Chaoting Han, Xihao Zhou, Yaqing Liu, Jianhua Yu, Yaqin Zheng, Jie Yang, Jiajie Huang, Juan Chen, Junjie Fang, Chensong Chen, Bo Fan, Honglong Fang, Baning Ye, Xiyun Chen, Xiaoli Qian, Junxiang Chen, Haitao Yu, Jun Zhang, Xi-Ming Pan, Yi-Xing Zhan, You-Hai Zheng, Zhang-Hong Huang, Chao Zhong, Ning Liu, Hongying Ni, Gengsheng Zhang, Zhongheng Zhang

“…Background: Heterogeneity is a critical characteristic of severe coronavirus disease 2019 (COVID-19) pneumonia. Integrating chest computed tomography (CT) imaging and plasma proteomics holds the potential to elucidate Image-Expression Axes (IEAs) that can effectively address this disease heterogeneity. …”
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A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder by Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

“…The task-related EEG was extensively analyzed in the field of brain–computer interfaces (BCIs); however, its primary objective is classification rather than segmentation. …”
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Solar Flare Prediction Using Long Short-term Memory (LSTM) and Decomposition-LSTM with Sliding Window Pattern Recognition by Zeinab Hassani, Davud Mohammadpur, Hossein Safari

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Identification of Linkages between the Competitive Potential and Competitive Position of SMEs Related to their Internationalization Patterns Shortly after the Economic Crisis by Piotr Trąpczyński, Barbara Jankowska, Marlena Dzikowska, Marian Gorynia

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Tackling the digital divide: Exploring ICT access and usage patterns among final-year upper secondary students in Italy by Donatella Papa, Marta Desimoni

“…Notably, 96% of students reported having access to a computer at home for both learning and non-learning activities, and 88% had internet connectivity at home. …”
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CFD analysis of rotation effect on flow patterns and heat transfer enhancement in a horizontal spiral tube heat exchanger by Ahmad Dabestani, Mostafa Kahani

“…A numerical investigation is conducted to assess the impact of mechanically rotating horizontal spiral tubes on flow patterns and temperature profiles along their length. …”
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Leisure Patterns and Values in Adolescents from Serbia born in 1990s: An Attempt at Building a Bridge between the Two Domains by Ivana Stepanović Ilić, Marina Videnović, Nebojša Petrović

“…Five typical leisure patterns were previously identified: academic, sports, going out, following celebrities in the media and music, and computers pattern. …”
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Use of pattern recognition in photoacoustic imaging to identify neuronal ensembles in the prefrontal cortex of rats undergoing conditioned fear learning by Shane A. Perrine, Mohammad Beirami, James I. Matchynski, Rayyan Manwar, Srinivasu Kallakuri, Alana C. Conti, Kamran Avanaki

“…These findings suggest that while the PFC is involved equally in novelty-exposure and fear learning, only highly coordinated behavioral tasks engage the PFC in a homogenous pattern of activity. This study also highlights the use of pattern recognition analysis using photoacoustic imaging data leading the way for future use of this computational approach to brain imaging.…”
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Three-Dimensional Analysis of the Contact Pattern between the Cortical Bone and Femoral Prosthesis after Cementless Total Hip Arthroplasty by Hiroshi Wada, Hajime Mishima, Hisashi Sugaya, Tomofumi Nishino, Masashi Yamazaki

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Phylogeographical analysis of Nerita yoldii revealed its geographical distribution pattern and drivers of population divergence in the Northwestern Pacific region by Yanbin Tang, Yanbin Tang, Yanbin Tang, Rongliang Zhang, Rongliang Zhang, Qinghe Liu, Qinghe Liu, Lu Shou, Lu Shou, Yibo Liao, Yibo Liao, Yibo Liao

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Implementing a growth pattern of climax community as post-processing filters core to improve tree species classification accuracy by Biao Zhang, Liguo Dong, Zhichao Wang, Zebang Feng, Yakui Shao, Tiantian Ma, Xuanchi Chen, Hao Li, Bin Wang, Zhongke Feng

“…Improving tree species classification accuracy often involves complex workflows, constrained by high computational costs, extensive data requirements, and sensitivity to spatiotemporal variations. …”
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Breaking down the recovery of O2 pathway: Peripheral extraction recovery pattern defines exercise capacity and clinical outcomes by Ahmed El Shaer, Mariana Garcia‐Arango, Anas Abed, Shannon Heffernan, Yuning Wang, Tashfeen Javed, Amirhossein Esmaeeli, Abdul Wahab Arif, Ran Tao, Naga Dharmavaram, James Runo, Jill N. Barnes, Farhan Raza

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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

“…The proposed data-mining methodology permits the stratification of distinct time patterns of multi-modal health data in individuals that share a diagnosis, by employing user-customized criteria beyond the current clinical practice. …”
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Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics. by Rimsha Bibi, Noshaba Qasmi, Sajid Rashid

“…In this study, we conducted a comprehensive analysis of 5,985 cone snail peptides across 82 Conus species to identify unique cysteine (Cys) patterns and associated frameworks. The classification of these Cys patterns, based on conserved framework combinations, enabled the generation of species-level pattern barcodes. …”
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Analyzing the spatio-temporal pattern of urban growth and its influence on urban heat islands in the Sekondi-Takoradi metropolis, Ghana by Ernest Biney, Eric Kwabena Forkuo, Michael Poku-Boansi, Kwame O. Hackman, Emmanuel Harris, Yaw Mensah Asare, Daniel Buston Yankey, Ernestina Annan, Albert Elikplim Agbenorhevi

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Spine Fractures in Ankylosing Spondylitis Patients: Analysis of Fracture Pattern, Clinical, and Radiological Outcome: A Retrospective Observational Study by Shreya P Shenoy, Delhibabu B Thamba, Subhadeep Ghosh, CS Vishnu Prasath, V Venkatasujith

“…The aim of this study is to analyze the pattern, clinical, and radiological outcomes of spine fractures in such patients. …”
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