Detection of miR-133a-5p Using a Molecular Beacon Probe for Investigating Postmortem Intervals by Eun Hye Lee, Mingyoung Jeong, Kwangmin Park, Dong Geon Lee, Eun Ju Lee, Haneul Lee, Ah Yeoung Kim, Jae Won Ahn, Hyun Jun Woo, Sunghyun Kim, Jaewon Lim, Jungho Kim

“…MicroRNAs (miRNAs or miRs) are small non-coding RNAs that remain relatively stable in the cell nucleus even after death-related changes occur. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…Change detection is a fundamental yet challenging task in remote sensing, crucial for monitoring urban expansion, land use changes, and environmental dynamics. …”
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Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches by Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus

“…Therefore, combining MC simulation with RF as a robust method for detecting CO adulteration is proposed. The proposed method, coded in Python and available as open-source, offers a flexible framework for continuous adaptation with new data.…”
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Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…Abstract Accurate detection of blood in CCTV surveillance footage is critical for timely response to medical emergencies, violent incidents, and public safety threats. …”
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Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection. by Beigeng Zhao, Jiawen Zhao, Rui Song, Lizhi Yu, Xia Zhang, Jiren Liu

“…These modifications significantly improve the model's ability to detect small, overlapping, and rarely occurring objects, which are common challenges in maritime search and rescue tasks. …”
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AC-YOLO: A lightweight ship detection model for SAR images based on YOLO11. by Rui He, Dezhi Han, Xiang Shen, Bing Han, Zhongdai Wu, Xiaohu Huang

“…To address these challenges, this paper proposes AC-YOLO, a novel lightweight SAR ship detection model based on YOLO11. Specifically, we design a lightweight cross-scale feature fusion module that adaptively fuses multi-scale feature information, enhancing small target detection while reducing model complexity. …”
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…Abstract Road crack detection presents critical challenges, including diverse defect patterns and complex anomaly characteristics. …”
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An Autocatalytic Platform Combining a Nonlinear Hybridization Chain Reaction and DNAzyme to Detect microRNA by Hongbo Zhang, Xiuen Cao, Qubo Zhu

“…MicroRNAs (miRNAs) are small, non-coding RNAs that play pivotal roles in gene regulation; they are increasingly recognized as vital biomarkers for various diseases, notably cancer. …”
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Activity-based Detection of HIF stabilizers: a Future-proof Complementing Method in Doping Control? by L.K. Janssens, L. De Wilde, P. Van Eenoo, C.P. Stove

“…Using roxadustat as a prototype compound, sensitivity in known urine matrices was determined and ranged from 1-25 ng/mL. A limit-of-detection in blind-coded roxadustat-spiked urine matrices was determined to evaluate routine applicability of this activity-based detection method. …”
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MAVM-UNet: multiscale aggregated vision MambaU-Net for field rice pest detection by Congqi Zhang, Ting Zhang, Guanyu Shang

“…Since various pests have irregular and changeable shapes, small sizes, and complex backgrounds, field rice pest detection is an essential prerequisite and challenge for the precise control of pests in the field. …”
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Tillage and biomass detection for estimating winter-time cropland management practices with satellite remote sensing by Maria Yli-Heikkilä, Arto Klami, Samantha Wittke, Markku Luotamo, Pinja Mero, Petri Pellikka, Janne Heiskanen, Mwaba Hiltunen, Kari Luojus, Golda Prakasam, Mikko Strahlendorff, Markus Törmä, Mi Sulkava

“…The supporting dataset and codes are stored in a publicly accessible repository.…”
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An Improved YOLOP Lane-Line Detection Utilizing Feature Shift Aggregation for Intelligent Agricultural Machinery by Cundeng Wang, Xiyuan Chen, Zhiyuan Jiao, Shuang Song, Zhen Ma

“…This paper proposes a feedback-based network for joint detection tasks (MTNet) that simultaneously detects pedestrians, automated guided vehicles (AGVs), and QR codes, while also performing lane-line segmentation. …”
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FCMI-YOLO: An efficient deep learning-based algorithm for real-time fire detection on edge devices. by Junjie Lu, Yuchen Zheng, Liwei Guan, Bing Lin, Wenzao Shi, Junyan Zhang, Yunping Wu

“…Secondly, the Cross-Scale Feature Fusion Module (CCFM) and the Mixed Local Channel Attention (MLCA) mechanism are incorporated into the neck network to improve detection performance for small fire targets and reduce resource consumption. …”
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TLINet: A defects detection method for insulators of overhead transmission lines using partially transformer block. by Xun Li, Yuzhen Zhao, Yang Zhao, Zhun Guo, Yongming Zhang, Xiangke Jiao, Baoxi Yuan

“…These results demonstrate the effectiveness of TLINet in addressing the complexities of insulator defect detection in power transmission lines. The code is available at https://github.com/mazilishang/TLINet.…”
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SAMF-YOLO: A self-supervised, high-precision approach for defect detection in complex industrial environments. by Jun Huang, Shamsul Arrieya Ariffin, Qiang Zhu, Wanting Xu, Qun Yang

“…FASFF-Head performs adaptive multi-scale feature fusion with minimal overhead, and the Bi-temporal Feature Aggregation Module (BFAM) strengthens the detection of small defects. Additionally, the Focaler-IoU loss improves bounding box regression for challenging object scales, and a self-supervised contrastive learning strategy enhances feature representation and model robustness without relying on labeled data. …”
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Fiscal issues of government policy for the investment protection and promotion by I. A. Tsindeliani, E. G. Vasilyeva, M. A. Egorova, D. V. Tyutin, Zh. G. Popkova

“…That is why discussions and debates about the necessity of creating of the investment code, unification of existing rules of investment activity regulation still exist. …”
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Hsa_circ_0072088 promotes non-small cell lung cancer progression through modulating miR-1270/TOP2A axis by Sixuan Li, Zhigang Cui, Min Gao, Yanan Shan, Yihong Ren, Yuxin Zhao, Di Wang, Tingyu Meng, Hongxu Liu, Zhihua Yin

“…As a special class of non-coding RNA, circRNA has become a new hotspot in the field of biomarker research. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…However, existing models often suffer from low detection accuracy and poor adaptability due to challenges such as varietal diversity, rapid changes in maturity stages, difficulty in small object detection, and environmental interferences like lighting and occlusion. …”
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Semi-Supervised Salient Object Detection for Side-Scan Sonar Images via Entropy-Based Uncertainty and Contrastive Learning by Shenao Yuan, Zhen Wang, Fu-Lin He, Shan-Wen Zhang

“…Recently, the field of salient object detection (SOD) in underwater sonar images has gradually gained attention. …”
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Analysis of Coxiella burnetii genomes in context of epidemic Q fever by S. N. Shpynov, N. V. Rudakov, S. Yu. Zelikman, D. V. Trankvilevskiy

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