Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Information required to populate the models included the prevalence of lung nodules, risk of lung cancer with different nodule sizes, sensitivity and specificity for nodule detection, nodule type and size distributions in different population, resource use, costs and utilities. …”
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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…The approach also surpasses mainstream models such as YOLO11s with significantly fewer parameters, confirming its effectiveness and practical value in resource-constrained low-altitude UAV-based detection tasks.…”
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Segmentation-Based Detection for Luffa Seedling Grading Using the Seg-FL Model by Sheng Jiang, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Shilei Lyu, Zhen Li

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DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu

“…Achieving real-time detection with high accuracy, while accommodating the limited resources of edge-computing devices poses a significant challenge for anti-UAV detection. …”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…Due to its excellent dynamic performance, the model predictive current control (MPC) method is widely adopted in power inverter systems, such as current source inverters (CSI). However, short-circuit faults in power switches are common in CSI systems, leading to a periodic output current distortion. …”
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Engineering functionally-optimized aptamers against SARS-Cov-2 for blocking spike-ACE2 interaction and aptasensor detection by Xiangdong Lai, Weiwei Zhao, Lihua Jiang, Jing Li, Muhammad Faizan Munawer, Jiejuan Lai, Jesus Alejandro Martinez Juarez, Miraj Ud din, Xiaoyang Zhang, Zhongquan Song, Tao Wu, Yiyue Ge, Hui Jiang, Xiaohui Liu, Xuemei Wang

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Plastome and transcriptome analysis reveals a degenerated photosynthesis-related pathway in the mycoheterotrophic vanilloid orchid Cyrtosia lindleyana by Shiou Yih Lee, Peishan Zou, Zhihui Chen, Kenji Suetsugu, Wenbo Liao

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Attraction and aversion of noctuid moths to fermented food sources coordinated by olfactory receptors from distinct gene families by Xiao-Qing Hou, Dan-Dan Zhang, Hanbo Zhao, Yang Liu, Christer Löfstedt, Guirong Wang

“…Conclusions Our findings suggest that this functional conservation is an olfactory adaptation that has allowed noctuid moths to extend their diet to fermented food sources.…”
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Dual‐Function Ceramic Pigments for Energy‐Efficient and Secure Autonomous Vehicles by Ik Hoon Jeong, Yong‐Jun Seo, Jum Soo Hwang, Geun Hyeong Kim, Yeong Jae Kim, Gil Ju Lee

“…Consequently, a bi‐function ceramic pigment (BFCP) is fabricated with both superior RC performance and heightened LiDAR detectability compared to commercial pigments. …”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Multi-view OCC approaches usually require collecting multi-view traffic data from all sources and have difficulty detecting intrusion independently in each view. …”
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Using hyperspectral reflectance to detect changes in photosynthetic activity in Atractylodes chinensis leaves as a function of decreasing soil water content by J. LIU, Y. WANG, X.M. LIN, Z.C. XUE, F.R. ZENG

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An Attomolar-Level Optical Device for Monitoring Receptor–Analyte Interactions Without Functionalization Steps: A Case Study of Cytokine Detection by Nunzio Cennamo, Francesco Arcadio, Chiara Marzano, Rosalba Pitruzzella, Mimimorena Seggio, Maria Pesavento, Stefano Toldo, Antonio Abbate, Luigi Zeni

“…The POF-based device was proven to be effective for detecting several interleukins at the attomolar level in a few minutes and without functionalization processes.…”
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An Optimized FPGA-Based FDIR System for Sensor Fault Detection in Satellite Attitude Estimation by Xianliang Chen, Zhicheng Xie, Jiashu Wu, Xiaofeng Wu

“…To solve this problem, a Fault Detection, Isolation, and Recovery (FDIR) was proposed, which integrates an adaptive unscented Kalman filter (AUKF), a radial basis function (RBF) neural network for fault detection, and a QUEST-based estimator. …”
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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…It then constructs an objective function within a least squares framework and optimizes it using the Levenberg–Marquardt (LM) algorithm to achieve a stable estimation of magnetic source parameters. …”
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Assessing variability and detecting the effective traits on yield of chickpea (Cicer arietinum L.) promising lines under drought stress condition by Sayyed Saeed Moosavi, Mohammad Reza Abdollahi, Fatemeh Abdi, Homayoun Kanouni

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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…Firstly, a millimeter-wave radar and LiDAR are used to perceive by single sensor, and the sensing results were merged by using a multi-source fusion algorithm, to generate more accurate detection results. …”
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Functional and Genomic Evidence of L-Arginine-Dependent Bacterial Nitric Oxide Synthase Activity in <i>Paenibacillus nitricinens</i> sp. nov. by Diego Saavedra-Tralma, Alexis Gaete, Carolina Merino-Guzmán, Maribel Parada-Ibáñez, Francisco Nájera-de Ferrari, Ignacio Jofré-Fernández

“…Extracellular and intracellular NO measurements under aerobic conditions showed a dose-dependent response, with detectable production at 0.1 µM L-arginine and saturation at 100 µM. …”
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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

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Simulation Study on Detection and Localization of a Moving Target Under Reverberation in Deep Water by Jincong Dun, Shihong Zhou, Yubo Qi, Changpeng Liu

“…Deep-water reverberation caused by multiple reflections from the seafloor and sea surface can affect the performance of active sonars. To detect a moving target under reverberation conditions, a reverberation suppression method using multipath Doppler shift in deep water and wideband ambiguity function (WAF) is proposed. …”
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