Development of hop transcriptome to support research into host-viroid interactions. by Tine Pokorn, Sebastjan Radišek, Branka Javornik, Nataša Štajner, Jernej Jakše

“…To study these interactions, we constructed a deep hop NGS transcriptome based on 35 Gb paired-end sequencing data assembled into over 74 Mb of contigs. …”
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Method for EEG signal recognition based on multi-domain feature fusion and optimization of multi-kernel extreme learning machine by Shan Guan, Tingrui Dong, Long-kun Cong

“…Firstly, the EEG signals are preprocessed using the Improved Comprehensive Ensemble Empirical Mode Decomposition (ICEEMD) algorithm combined with the Pearson correlation coefficient to eliminate noise and interference. Secondly, multivariate autoregressive (MVAR) model, wavelet packet decomposition, and Riemannian geometry methods are used to extract features from the time domain, frequency domain, and spatial domain, respectively, to construct a joint time-frequency-space feature vector. …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“…Conclusions: When constructing spectrum analyzers for the diagnosis of technological equipment, it is advisable to use the Yul-Walker method. …”
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MOF‐derived Co/C‐anchored MoS2‐based phase change materials toward thermal management and microwave absorption by Yang Li, Xukang Han, Jiaying Zhu, Yuhao Feng, Panpan Liu, Xiao Chen

“…Abstract With the miniaturization and integration of electronic devices, developing advanced multifunctional phase change materials (PCMs) integrating thermal storage, thermal conduction, and microwave absorption to address electromagnetic interference, thermal dissipation, and instantaneous thermal shock is imperative. …”
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SDA-YOLO: An Object Detection Method for Peach Fruits in Complex Orchard Environments by Xudong Lin, Dehao Liao, Zhiguo Du, Bin Wen, Zhihui Wu, Xianzhi Tu

“…First, in the backbone network, the LSKA module is embedded into the SPPF module to construct an SPPF-LSKA fusion module, enhancing multi-scale feature representation for peach targets. …”
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Territorialidade e ancestralidade: formação e reconhecimento da comunidade pescadora extrativista do Quilombo do Degredo, Brasil by Lorena Lins, Augusto Cesar Salomão Mozine

“…The Degredo community faces daily challenges, including interference from exploitative enterprises and conflicts with regional farmers. …”
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Heat exchange efficiency and structural stability of assembled energy shafts: a novel shallow geothermal exploitation system for coastal urban cities by Jie Zhou, Xin Wang, Jie Xu, Zhenming Shi

“…By comparing the heat transfer efficiency and additional thermal stress of the energy tunnel in Beijing, the practical feasibility of constructing energy shafts in coastal cities is demonstrated. …”
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Dynamic Aerial Small Target Detection Algorithm Based on Compound Zoom Scaling by Jiang Yuan, Zhu Gaofeng, Zhu Fenghua, Xiong Gang

“…However, during multi-angle imaging, UAVs often encounter challenges such as a low target pixel ratio and significant background interference, leading to missed detection and false detection. …”
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Development of three-dimensional forward modeling and observation device for leakage electric field in the process of foundation pit pumping test. by Yufeng Chen, Hui Chen, Jiayong Yan, Yuexin You, Suiming Liu

“…Early detection of leakage in foundation pit retaining structures during excavation is critical for ensuring both construction safety and the integrity of adjacent buildings. …”
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Simple Nanochannel-Modified Electrode for Sensitive Detection of Alkaline Phosphatase Through Electrochemiluminescence Signal Quenching by Enzymatic Reaction by Tianjun Ma, Xuan Luo, Fengna Xi, Nuo Yang

“…Combined with the anti-contamination and anti-interference capabilities of VMSF, the constructed sensor enabled the detection of ALP levels in milk samples.…”
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Damage Identification of Ancient Timber Structure Based on Autocorrelation Function by Yanfang Hou, Weibing Hu, Xin Wang, Tingting Hou, Congli Sun

“…At 45% degree of damage and signal-to-noise ratio (SNR) of 0 dB, the damage location index can still accurately determine the damage location, which has good antinoise interference capability. The Xi’an Bell Tower is used as a case study, and the feasibility of this method is verified, which provides a new method for the study of damage location of ancient timber structures.…”
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Reliable, scalable functional genetics in bloodstream-form Trypanosoma congolense in vitro and in vivo. by Georgina Awuah-Mensah, Jennifer McDonald, Pieter C Steketee, Delphine Autheman, Sarah Whipple, Simon D'Archivio, Cordelia Brandt, Simon Clare, Katherine Harcourt, Gavin J Wright, Liam J Morrison, Catarina Gadelha, Bill Wickstead

“…Using these tools, we describe organism-specific constructs for inducible RNA-interference (RNAi) and demonstrate knockdown of multiple essential and non-essential genes. …”
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Research progress and prospects of intelligent mine ventilation by LIU Xiangying

“…To address these challenges, the future research directions should focus on: ① Developing new sensor devices with strong anti-interference capabilities to construct a spatiotemporal dynamic monitoring network that integrates "fixed-point monitoring+mobile inspection", enabling precise multi-parameter ventilation perception. ② Establishing an ultra-real-time simulation model for the ventilation network based on digital twin technology, and combining reinforcement learning and game theory methods to optimize the coordination between local decision-making and global strategy, thereby driving intelligent decision-making systems toward a cloud-edge-device collaborative mode. ③ Building a digital twin-driven disaster evolution simulation platform, integrating dynamic evacuation path planning and rapid deployment of robot clusters, thereby forming a three-tier emergency response system of "disaster warning-regional isolation-intelligent rescue".…”
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Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image by Siyu Zhan, Yuxuan Yang, Muge Zhong, Guoming Lu, Xinyu Zhou

“…Secondly, we present a novel approach for computing physicochemical parameters, which enhances the spectral characteristics of targets while minimizing environmental interference. Thirdly, we construct a geographic knowledge graph that incorporates both target and environmental information, enabling global target reasoning and more effective detection of small targets across large-scale scenes. …”
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Plant attribute extraction: An enhancing three-stage deep learning model for relational triple extraction. by Zhihao Zong, Hongtao Shan, Gaoyu Zhang, George Xianzhi Yuan, Shuyi Zhang

“…With the help of extracted triples, we can construct knowledge graphs and other tasks to better apply various plant attributes.…”
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Mapping AI ethics narratives: evidence from Twitter discourse between 2015 and 2022 by Mengyi Wei, Puzhen Zhang, Chuan Chen, Dongsheng Chen, Chenyu Zuo, Liqiu Meng

“…Through cross-level fine-grained mining, this study uncovers information hidden beneath the noise interference, which helps policymakers make targeted adjustments or improvements to policies. …”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…However, this task remains challenging due to variable high-altitude viewpoints, complex environmental interference, and limitations in algorithmic efficiency. …”
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GRU2-Net: Global response double U-shaped network for lesion segmentation in ultrasound images by Xiaokai Jiang, Xuewen Ding, Jinying Ma, Chunyu Liu, Xinyi Li

“…The encoder-decoder backbone is constructed using a U-shaped Dilated Convolution module, which effectively captures fine-grained local features and enhances boundary delineation, particularly under low-contrast conditions. …”
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Modal-Guided Multi-Domain Inconsistency Learning for Face Forgery Detection by Zishuo Guo, Baopeng Zhang, Jack Fan, Zhu Teng, Jianping Fan

“…In particular, HIL performs heterogeneous learning from spatial, temporal, and frequency perspectives to generate more generalized representations of forgery and eliminate the interference of static redundant information. Furthermore, a multi-modal deepfake dataset is also constructed. …”
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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach by Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo

“…Through Monte Carlo simulations under outlier interference and empirical analysis of two U.S. house price datasets, we demonstrate that the new approach significantly enhances variable selection accuracy, reduces estimation bias for key regression coefficients, and exhibits robust resistance to data outlier contamination.…”
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