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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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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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

“…When the degree of damage is 5%, the autocorrelation peak value change rate of the acceleration response on the two nodes of the damage unit is significantly greater than that of the other points, which can accurately determine the damage location, indicating that the damage location index constructed has good damage sensitivity. The damage location index can determine a single damage, as well as a double damage. …”
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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

“…To address this critical limitation, we propose a novel empirical likelihood (EL)-based variable selection framework that integrates a Bayesian LASSO penalty within the composite quantile regression framework. By constructing a hybrid sampling mechanism that incorporates the Expectation–Maximization (EM) algorithm and Metropolis–Hastings (M-H) algorithm within the Gibbs sampling scheme, this approach effectively tackles variable selection in high-dimensional settings with outlier contamination. …”
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ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

“…Traditional licorice resource survey methods are unsuitable for complex terrain and do not meet the requirements of large-scale monitoring.MethodsIn order to solve this problem, this study constructs a new dataset of wild licorice that was gathered using Unmanned Aerial Vehicle (UAV) and proposes a novel detection network named ALPD-Net for identifying wild licorice. …”
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MLFF-SFNet: A Visual Perception-Guided Network for High-Accuracy Road Extraction in Remote Sensing Imagery via Multilevel Feature Fusion and Similarity Filtering by Kaiming Quan, Dongmei Yan, Ruyi Feng

“…The auxiliary branch extracts local road features to construct a feature affinity matrix that guides global feature refinement in the main branch. …”
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Research on Control Strategy of 3-DOF Electro-Hydraulic Servo Manipulator Based on Active Disturbance Rejection Controller by Chungeng Sun, Zhenlong Deng, Zhijie Duan

“…Based on Lyapunov stability theory and linear matrix inequalities (LMI), the Lurie system is constructed to rigorously prove the stability of TPDADRC. …”
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Arginine–NO pathway modulated energy metabolism in the hepatopancreas and muscle of female Litopenaeus vannamei by Haitao Fan, Xin Zhang, Yanan Yin, Lefei Jiao

“…In addition, shrimp were injected with dsGFP and dsNOS for 48 h and successfully constructed the RNA interference model. The findings showed that the levels of nos, cgmp, ampk (a, b, c), genes involved in glucose metabolism, lipid metabolism and amino acid metabolism were inhibited. …”
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Angle Estimation Based on Wave Path Difference Rate of Change Ambiguity Function by Jianye Xu, Maozhong Fu, Zhenmiao Deng

“…By accumulating the conjugate-multiplied signals over multiple time steps, the Wave Path Difference Rate of Change Ambiguity Function (WPD-ROC AF) is constructed. A fast algorithm employing the 2D Chirp-Z Transform (2D-CZT) is proposed, enabling multi-pulse angle estimation through the identification of frequency and phase values corresponding to spectral peaks. …”
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LAAVOS: A DeAOT-Based Approach for Medaka Larval Ventricular Video Segmentation by Kai Rao, Minghao Wang, Shutan Xu

“…To address these challenges, this study first constructs a medaka embryonic ventricular video dataset containing 4200 frames with pixel-level annotations. …”
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