Nuclear and Chloroplast Markers Provide New Insights Into the Syngameon Dynamics of Genus Micromeria (Lamiaceae) in the Canary Islands by Manuel Curto, Pamela Puppo, Harald Meimberg

“…ABSTRACT Species syngameons are groups of more than two hybridizing species that form complex hybrid networks. Syngameons facilitate sharing the gene pool among species while maintaining morphological differentiation. …”
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Tensor decomposition based-joint active device detection and channel estimation under frequency offset by QU Ruiyun, LIU Zujun, HUANG Beilei

“…In the future wireless cellular networks, the massive access supporting of the Internet of things (IoT) and machine type communication (MTC) has gradually become a pivotal requirement. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…This study, titled "Enhancing Attendance Management through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery," aimed to develop a more accurate and efficient solution using Local Binary Pattern Histogram and Convolutional Neural Networks algorithms to automate attendance tracking.A mixed-method approach was employed, combining system testing with user feedback from administrators, staff, and students. …”
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Partly cloudy with a chance of mosquitoes: Developing a flexible approach to forecasting mosquito populations by Travis McDevitt‐Galles, Arthur T. Degaetano, Sarah C. Elmendorf, John R. Foster, Howard S. Ginsberg, Mevin B. Hooten, Shannon LaDeau, Katherine M. McClure, Sara Paull, Erin Posthumus, Ilia Rochlin, Daniel Grear

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Distribution and biodiversity of benthic macroalgae in the Nanji Islands, China by Xin Wang, Shangwei Xie, Wandong Chen, Xiaopin Ni, Wantao Xu, Qijun Luo, Haimin Chen

“…The study also provides valuable insights into the distribution patterns of benthic macroalgae, highlighting the significance of seasonal and tidal zone influences on biodiversity and biomass.…”
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EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection by Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho

“…This paper proposes a new deep-learning method called Cascaded Atrous Convolutional Network with Adaptive Weight Fusion (CA-AWFM) for classifying schizophrenia from electroencephalogram (EEG) data that combines cascaded networks with atrous convolutions and an adaptive weight fusion module (AWFM). …”
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Acoustic cues for person identification using cough sounds by Van-Thuan Tran, Ting-Hao You, Wei-Ho Tsai

“…The proposed architecture, CoughCueNet, is a convolutional recurrent neural network designed to capture both spatial and temporal patterns in cough sounds. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…Our architecture employs a Convolutional Neural Network (CNN) with Inception-V3 as the foundational model for initial feature extraction. …”
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A Spatial Analysis of Atmospheric Ammonia and Ammonium in the U.K. by M.A. Sutton, Y.S. Tang, U. Dragosits, N. Fournier, A.J. Dore, R.I. Smith, K. J. Weston, D. Fowler

“…The national network is established with over 80 sampling locations. …”
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Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception Coordination by Farhan Dawood, Naoki Masuyama, Chu Kiong Loo

“…In order to construct cohesive representations and extract meaningful insights from the environment, the brain utilizes patterns from a variety of sensory inputs, including vision and sound. …”
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Identification and Validation of Aging-Related Genes in IgA Nephropathy in the Asian Population by Shu J, Li H, Li H

“…CIBERSORT algorithm was used to evaluate immune infiltration and its relationship with hub genes. …”
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Bidirectional Transcriptome Analysis of Rat Bone Marrow-Derived Mesenchymal Stem Cells and Activated Microglia in an In Vitro Coculture System by Da Yeon Lee, Moon Suk Jin, Balachandran Manavalan, Hak Kyun Kim, Jun Hyeok Song, Tae Hwan Shin, Gwang Lee

“…Reversely, expression patterns of the transcriptome in LPS-stimulated primary rat microglia were changed when cocultured with rBM-MSCs. …”
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Coastal Storm – Surge Combination Risk Identification and Resilience Planning Based on Supply and Demand Assessment of Flood Regulation Ecosystem Services: A Case Study of Fujian D... by Jian TIAN, Tianyu XIU, Suiping ZENG

“…For medium risk–ecological improvement zones (e.g., Jimei District, Xiangcheng District), the focus should be on harmonizing urban – rural ecological patterns through the strategic use of natural topographical features as buffer barriers, adopting mixed land-use approaches to curb urban sprawl, and upgrading eco-oriented infrastructure networks. …”
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Optimized Ensemble Deep Learning for Real-Time Intrusion Detection on Resource-Constrained Raspberry Pi Devices by Muhammad Bisri Musthafa, Samsul Huda, Tuy Tan Nguyen, Yuta Kodera, Yasuyuki Nogami

“…The rapid growth of Internet of Things (IoT) networks has increased security risks, making it essential to have effective Intrusion Detection Systems (IDS) for real-time threat detection. …”
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Unveiling novel susceptibility genes and drug targets for basal cell carcinoma by a cross-tissue transcriptome-wide association study by Hong Sun, Ling Li, Xiu Xin, Jingchao Yan, Taomin Huang

“…Additionally, druggability of the identified genes was evaluated to discover potential candidate drugs for BCC. …”
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Understanding the trade-off and synergy effects of landscape multifunctional and its driving mechanism in rapidly urbanizing areas by Hang Zhang, Shaohua Wu, Sha Chen, Chong Wu, Fei Xu

“…On the basis of constructing the multifunctional landscape model of the Bayesian belief networks, the key nodes that affect the landscape function are identified by analyzing the importance of nodes. …”
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Broad-ranged, highly disjunct, locally rare and severely endangered: the challenging risk assessment and a global conservation strategy for Erica sicula Guss. sensu lato (Ericaceae... by Salvatore Pasta, Hicham El Zein, Ozan Şentürk, Salih Gücel, Leopoldo de Simone, Bertrand de Montmollin

“…The distribution range of Erica sicula Guss. sensu lato spans the central and eastern Mediterranean Basin, but shows a significantly fragmented pattern, and its populations are locally subject to multiple threats inducing continuous regression. …”
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Fairness-Oriented Charging Station Location Optimization Driven by Deep Reinforcement Learning by Siyue Yuan, Jiaying Fu, Xiaoyin Ma

“…First, multi-source data including POI, population, GDP, and traffic networks are integrated, and GIS technology is used to analyze spatial distribution characteristics. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…In terms of assessment and analysis, given the increasingly complex development trends of urban fabric, traditional two-dimensional assessment methods cannot meet the needs of complex green space evaluation. By establishing evaluation methods, green space information models can be applied to different practical needs: Calculation of three-dimensional green volume indicators, analysis of three-dimensional landscape patterns, and evaluation of three-dimensional spatial ecosystem services.ConclusionBased on the requirements for green space information modeling, a corresponding construction framework can be established, including data acquisition, composition structure, detail level, spatial scale, sharing platform and analysis application of green space information models. …”
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Bridging the Gap: The State of Global Transplant Research Collaboration by Isabella Faria, MD, Stalin Canizares, MD, Adriana Montalvan, MD, MPH, Paulo N. Martins, MD, PhD, Griffin M. Weber, MD, PhD, Marwan Kazimi, MD, Devin E. Eckhoff, MD

“…Through a comprehensive bibliometric and network analysis of 5 high-impact factor transplantation journals from 2012 to 2021, we evaluated scientific production and collaboration patterns in 9 250 articles. …”
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