Nitrogen Fertilization Shapes Soil Microbial Diversity and Ecosystem Multifunctionality by Modulating Soil Nutrients by Yaoquan Zhang, Zhuzhu Luo, Liangliang Li, Lili Nian, Lingling Li, Yining Niu, Renyuan He, Jiahe Liu

“…Soil microbial communities play an important role in driving diverse ecosystem functions and ecological processes and are the main driving force for maintaining biogeochemical cycles. …”
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Path Planning Based on Combination of Sampling and Learning-From-Demonstration for Static Obstacle Avoidance of Autonomous Vehicles by Youngmin Yoon, Ara Jo

“…To generate the primitives, terminal points of the primitives are sampled within reliable ranges centered around the proposal points which are derived from the neural network. The driving path is determined by the evaluation of primitives according to cost function and feasibility constraints. …”
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LE-YOLO: A Lightweight and Enhanced Algorithm for Detecting Surface Defects on Particleboard by Chao He, Yongkang Kang, Anning Ding, Wei Jia, Huaqiong Duo

“…A dynamic mixed convolutional network module is introduced to construct a lightweight backbone architecture. …”
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Robot Fault Detection Based on Big Data by Fei Luo

“…The author's method is on average 14.7% higher than the neural network-based method and 24.5% higher than the expert system-based method. …”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

“…To improve spatial feature extraction and control network computing time, a more efficient FasterNet backbone network is introduced along with partial convolution (PConv) to reduce memory access and redundant calculations during deep convolution. …”
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Geological Knowledge‐Guided Dual‐Branch Deep Learning Model for Identification of Geochemical Anomalies Related to Mineralization by Ying Xu, Renguang Zuo, Yang Bai

“…The geological knowledge was added into the model, including selecting the input order of geochemical elements and constructing the loss function of the model. A case study was conducted to recognize geochemical anomalies associated with gold polymetallic mineralization in Hubei Province, China. …”
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3D Reconstruction With Spherical Cameras by Yan Cui, Qingling Chang, Qiang Liu, Xin Yang, Yajiang Huang, Shichao Chen, Fei Ren, Didier Stricker

“…We conduct experiments on our own dataset to demonstrate the effectiveness of our proposed 3DMAP framework. …”
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THE AVALANCHE EFFECT IN ENCRYPTION ALGORITHMS BASED ON THE DISCRETE CHAOTIC MAPS by K. S. Mulyarchik

“…The avalanche effect has been analyzed in a discrete tent map and in the basic transformation based on the Feistel network with the use of the indicated map as a nonlinear function. …”
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Tissue-Adhesive and Biocompatible Zein-Polyaniline-Based Hydrogels for Mechanoresponsive Energy-Harvesting Applications by Maduru Suneetha, Seainn Bang, Sarah A. Alshehri, Sung Soo Han

“…Incorporating 0.5 wt% polyaniline (PANI) introduced nanostructured aggregates, while higher PANI concentrations (3–5 wt%) formed intertwined fibrous networks, improving the mechanical integrity, surface area, and conductivity. …”
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Origins and Molecular Mechanisms Underlying Renal Vascular Development by Yusuke Nishimura, Sanshiro Hanada

“…For vascular cells in the kidney to mature and function effectively, a well-coordinated spatial alignment between the nephrons and complex network of blood vessels is essential. …”
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Fault-Tolerant Control for Carrier-Based Aircraft Automatic Landing Subject to Multiple Disturbances and Actuator Faults by Qilong Wu, Qidan Zhu

“…The scheme combines radial basis function neural network and active disturbance rejection control (RBF-ADRC) to overcome the impact of actuator failures and external disturbances. …”
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Estimating Energy Consumption During Soil Cultivation Using Geophysical Scanning and Machine Learning Methods by Jasper Tembeck Mbah, Katarzyna Pentoś, Krzysztof S. Pieczarka, Tomasz Wojciechowski

“…Three machine learning algorithms were tested: support vector machines (SVMs), multilayer perceptron (MLP), and radial basis function (RBF) neural networks. Among these, SVM achieved the best performance, showing a MAPE of 4% and a strong correlation (R = 0.97) between predicted and actual productivity values. …”
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Locomotive Syndrome Digital Therapeutics Provided via a Smartphone App: Protocol for a Single-Group Trial by Tatsuru Sonobe, Yoshihiro Matsumoto

“…ObjectiveWe sought to determine whether digital therapeutics (DTx) are useful for the prevention and amelioration of LS in older people, and we assessed the effects of DTx on the participants’ exercise awareness and motor function. MethodsWe conducted a multicenter, prospective, longitudinal, nonrandomized, single-group study of Japanese adults aged ≥40 years who were eligible for LS checks. …”
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The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing by Pan Su, JieChang Wu, Guanghui Chang, Shuyong Liu, Xuejiao Feng

“…Second, the vibration signal is processed based on the variational mode decomposition (VMD) and radial basis function (RBF) neural networks. The wavelet packet threshold noise reduction is conducted before signal decomposition to improve the signal-to-noise ratio. …”
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Kernel machine tests of association using extrinsic and intrinsic cluster evaluation metrics. by Alexandria M Jensen, Peter DeWitt, Brianne M Bettcher, Julia Wrobel, Katerina Kechris, Debashis Ghosh

“…By incorporating notions of similarity between network community structures into a kernel distance function, the high-dimensional feature space of brain networks, defined on input pairs, can be generalized to non-linear spaces, allowing for a wider class of distance-based algorithms. …”
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Method for Extracting Corn Planting Plots in the Loess Plateau Region Based on the Improved HRNet and NDVI Time Series by Wei Sun, Rong Zhang, Shuhua Wei, Jianping Liu, Jian Wang

“…The study involves enhancing the HRNet network by integrating the CBAM attention mechanism and FReLU activation function, processing the 2023 corn planting growth period data in the Loess Plateau region of Pengyang County, Ningxia, China. …”
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Classification of OCT Images of the Human Eye Using Mobile Devices by Agnieszka Stankiewicz, Tomasz Marciniak, Nina Budna, Róża Chwałek, Marcin Dziedzic

“…The classification process is conducted using convolutional neural networks (CNNs). …”
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Detection and recognition of foreign objects in Pu-erh Sun-dried green tea using an improved YOLOv8 based on deep learning. by Houqiao Wang, Xiaoxue Guo, Shihao Zhang, Gongming Li, Qiang Zhao, Zejun Wang

“…To rapidly detect and accurately identify these small foreign objects in Pu-erh sun-dried green tea, this study proposes an improved YOLOv8 network model for foreign object detection. The method employs an MPDIoU optimized loss function to enhance target detection performance, thereby increasing the model's precision in targeting. …”
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Attention Mechanism with Spatial-Temporal Joint Deep Learning Model for the Forecasting of Short-Term Passenger Flow Distribution at the Railway Station by Zhicheng Dai, Dewei Li, Shiqing Feng

“…The architecture comprises four branches dedicated to station real-time video monitoring data, spatial network topology, function area attributes, and train timetables. …”
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Analyzing spatiotemporal variation in suspended particulate matter in lakes using remote sensing by WEI Junyan, ZHAO Yiming, HAO Yanling, JIA Xiaoxue, MA Xinyan

“…The accuracy of five machine learning inversion models - backpropagation (BP) neural network, convolutional neural network (CNN), random forest (RF), support vector machine (SVM), and radial basis function (RBF) neural network-was compared with that of traditional empirical models using Sentinel-2 MSI satellite data. …”
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