The characterisation of the complete mitochondrial genome of Polygonatum Kingianum reveals recombination mediated by repeats associated with DNA replication by Aien Tao, Jing Tao, Zhengkun Gan, Yue Zhang, Chenglong Yin, Guihua Jiang

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Review on molecular mechanisms of Casparian strip formation in root endodermal cells and its regulatory roles in mineral nutrient transport(植物根系内皮层凯氏带形成的分子机制及对矿质养分转运调控综述)... by 肖伊辉(XIAO Yihui), 冯志航(FENG Zhihang), 赖雨秋(LAI Yuqiu), 陈慧婷(CHEN Huiting), 李保海(LI Baohai)

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Unveiling the ecological processes driving soil and lichen microbiome assembly along an urbanization gradient by Panji Cahya Mawarda, Rens van der Kaaij, Francisco Dini-Andreote, Deniz Duijker, Michael Stech, Adrianus GCL Speksnijder

“…Our findings revealed that the urbanization gradient shaped the soil microbiome, while the lichen microbiomes exhibited strong host specificity and showed no significant changes in diversity along the urbanization gradient. Heterogeneous selection and dispersal limitation primarily governed the soil community assembly and higher community turnover in medium- and highly urbanized zones compared to low-urbanized zones, indicating an increased influence of environmental pressures, altered resources, and habitat fragmentation in more urbanized areas. …”
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Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis by Zhengzheng Jiang, YaWen Shen

“…IntroductionSingle-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights. However, traditional SPECT/CT techniques often suffer from poor image quality, low spatial resolution, and limited capacity for integrating multiple data sources, which can hinder accurate diagnosis and intervention.MethodsTo address these limitations, this study proposes a novel multimodal learning framework that enhances SPECT/CT imaging through biomechanical data integration and deep learning. …”
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An Improved Fitting Method for Predicting the Zernike Coefficient–Wavelength Curves by Fang Wang, Qiyuan Zhang, Haoyu Wang, Dayong Zhu, Huaikang Zhu, Wenxin Jia, Sen Han

“…Broadband transmitted wavefront measurement is a detection method that uses transmitted wavefronts at a few specific wavelengths though a function of Zernike coefficients and wavelength to predict other transmitted wavefronts at any wavelength within a certain range. …”
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Genome-Wide Scan for Copy Number Variations in Chinese Merino Sheep Based on Ovine High-Density 600K SNP Arrays by Yuezhen Tian, Jing An, Xinning Zhang, Jiang Di, Junmin He, Ayinuer Yasen, Yanpin Ma, Gaohaer Sailikehan, Xixia Huang, Kechuan Tian

“…Sheep are a vital species in the global agricultural economy, providing essential resources such as meat, milk, and wool. Merino sheep (Junken type) are a key breed of fine wool sheep in China. …”
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Benefits of Urban Parks in Different Land Uses by Wei-Ting Chen, Sheng-Jung Ou

“…In previous studies, algorithms were developed to select appropriate locations for parks with distinctive green patches. …”
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Evaluating integrated development environments using the TOPSIS method and Schweizer-Sklar power aggregation operator: implications for university students’ psychological managemen... by Lijun Ma, Fengyu Guo, Zeeshan Ali, Shi Yin

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The 4–400 GHz Survey for the 32 Class II Disks in the Taurus Molecular Cloud by Chia-Ying Chung, An-Li Tsai, Melvyn Wright, Wenrui Xu, Feng Long, Mark A. Gurwell, Hauyu Baobab Liu

“…We have compiled the ∼4–400 GHz broad spectra of 32 Class II protoplanetary disks (PPDs) in the Taurus-Auriga region, which represents the brightest one-third of sources detected in the submillimeter band in this region. …”
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AiWatch: A Distributed Video Surveillance System Using Artificial Intelligence and Digital Twins Technologies by Alessio Ferone, Antonio Maratea, Francesco Camastra, Angelo Ciaramella, Antonino Staiano, Marco Lettiero, Angelo Polizio, Francesco Lombardi, Antonio Junior Spoleto

“…Recent advancements in this technology have led to enhanced functionality, remarkable accuracy, and reduced costs for consumers. …”
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Global analysis of CP $$ \mathcal{CP} $$ -violation in atoms, molecules and role of medium-heavy systems by Konstantin Gaul, Robert Berger

“…Abstract Detection of parity P $$ \left(\mathcal{P}\right) $$ and time-reversal T $$ \left(\mathcal{T}\right) $$ symmetry-odd electric dipole moments (EDMs) within currently achievable resolution would evidence physics beyond the Standard Model of particle physics. …”
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A new fluorescent probe based on BODIPY for testing NO2 released from propellants by Ying-cui Cui, De-bin Xia, Zhong-yu Cui, Yu-jing Li, Jian Zhang, Ping Wang, Ting Guo, Kai-feng Lin, Yu-lin Yang

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Genome-Wide Identification and Evolutionary Analysis of m6A-Related Gene Family in Poplar Nanlin895 by Zeyu Li, Rongxia Liu, Mingqiang Zhu, Jinye Zhang, Zhoujin Li, Kaixin Huang, Zehua Ren, Yan Zhao, Keming Luo, Qin Song

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Transcription Factor LjWRKY50 Affects Jasmonate-Regulated Floral Bud Duration in <i>Lonicera japonica</i> by Yanfei Li, Yutong Gan, Guihong Qi, Wenjie Xu, Tianyi Xin, Yuanhao Huang, Lianguo Fu, Lijun Hao, Qian Lou, Xiao Fu, Xiangyun Wei, Lijun Liu, Chengming Liu, Jingyuan Song

“…These findings provide valuable insights into the jasmonate-mediated regulation of floral bud duration, offering genetic and marker resources for molecular breeding in <i>L. japonica</i>.…”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…This study presents a machine learning-based approach to forecast Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs), addressing challenges such as dynamic network topologies and resource constraints. The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…To enhance performance, we implemented an ensemble learning strategy that incorporated a reparameterized Gompertz function, which assigned fuzzy ranks based on each model’s prediction confidence for each test case. …”
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Enhancing vaccine effectiveness in the elderly to counter antibiotic resistance: The potential of adjuvants via pattern recognition receptors by Myunghwan Jung, Hongmin Kim, Eunsol Choi, Min-Kyoung Shin, Sung Jae Shin

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HGCS&#x2014;A Multiplex Transmission Method for Wide-Area Unmanned Aerial Vehicle Cluster Inspection Data in Hybrid Networked Transmission Lines by Ruchao Liao, Xionggang Li, Jinchao Guo, Wenxing Sun, Guoqiang Li

“…We propose the Hybrid Grouping Cluster Selection (HGCS) algorithm, which outperforms the recently devised algorithms like Hybrid Cluster Access Selection (HCAS) and Hybrid Grouped Network Selection (HGNS) by maximizing the execution efficiency and QoS parameters. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…This made it possible to find and measure the sources of uncertainty as well as the factors that affected the chromatographic responses. …”
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Time frequency analysis of elastic wave PSO OMP for defects in flat steel of down conductors by Jing Zhang, Wei Liu, Minghui Bao, Peng Yang, Xuhua Liu, Zhihong Fu

“…Then calculate the correlation function of the reconstructed signal echo and apply a smooth pseudo Wigner Ville distribution for time-frequency analysis. …”
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