An Improved Unmanned Aerial Vehicle Forest Fire Detection Model Based on YOLOv8 by Bensheng Yun, Xiaohan Xu, Jie Zeng, Zhenyu Lin, Jing He, Qiaoling Dai

“…Thirdly, the model boosts classification precision through the integration of a Mixed Local Channel Attention (MLCA) strategy preceding the three detection outputs. Finally, the W-IoU loss function is utilized, which adaptively modifies the weights for different target boxes within the loss computation, to efficiently address the difficulties associated with detecting small targets. …”
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Transcriptomics‐Based Liquid Biopsy for Early Detection of Recurrence in Locally Advanced Gastric Cancer by Ping'an Ding, Jiaxiang Wu, Haotian Wu, Tongkun Li, Xiaoman Niu, Peigang Yang, Honghai Guo, Yuan Tian, Jinchen He, Jiaxuan Yang, Renjun Gu, Lilong Zhang, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…Abstract The study presents a transcriptomics‐based liquid biopsy approach for early recurrence detection in locally advanced gastric cancer (LAGC). …”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Therefore, we adopted and enhanced RetinaNet to detect masses in mammogram images. Specifically, we introduced a novel modification to the network structure, where the feature map M5 is processed by the ReLU function prior to the original convolution kernel. …”
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A progressive knowledge strategy for monitoring soil microbiological activity by microscale spectroscopic detection by Heidy Soledad Rodríguez-Albarracín, José A.M. Demattê, Nícolas Augusto Rosin, Jorge Tadeu Fim Rosas, Aquiles Enrique Darghan, Hudson Wallace Pereira de Carvalho

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AHG-YOLO: multi-category detection for occluded pear fruits in complex orchard scenes by Na Ma, Na Ma, Na Ma, Yile Sun, Yile Sun, Chenfei Li, Chenfei Li, Zonglin Liu, Zonglin Liu, Haiyan Song, Haiyan Song

“…Next, shared weight parameters are introduced in the head network, and group convolution is applied to achieve a lightweight detection head. Finally, the boundary box loss function is changed to Generalized Intersection over Union (GIoU), improving the model’s convergence speed and further enhancing detection performance.ResultsExperimental results show that the AHG-YOLO model achieves 93.5% (FCC), 95.3% (NO), and 93.4% (OBL) in AP, with an mAP@0.5 of 94.1% across all categories. …”
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CQD-based electrochemical immunosensor for sensitive D-dimer detection in thrombosis and COVID-19 by Jillian Gamboa, Carmen Linares, Virginia Cebrián, Hamidreza Enshaei, Óscar Ahumada, Francesc Estrany, Juan Torras

“…Emerging point-of-care (POCT) biosensors offer faster, cost-effective alternatives, utilizing electrochemical or optical detection and nanostructured films. This study aims to develop a sensitive, label-free electrochemical immunosensor for DD detection using carbon quantum dots (CQDs) functionalized electrodes and electrochemical impedance spectroscopy (EIS). …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…Hence, it is essential to detect the presence of spam bots on Twitter. In order to detect spam bots on Twitter, an effective feature selection technique using a novel hybrid deep learning model is introduced in this paper. …”
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Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny by Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang

“…First, based on the YOLOv7-Tiny network, the MAFPN neck structure is used to replace the ELAN structure to achieve the multi-scale capture of semantic information of underwater sea treasures, and to enhance the UPA-YOLO model to accurately locate the targets of underwater sea treasures; second, the P2ELAN module is constructed and added to the backbone network, which makes use of the redundancy information in the feature map and dynamically adjusts the convolution kernel to adapt to data The P2ELAN module is added to the backbone network, using the redundant information in the feature map, dynamically adjusting the convolutional kernel to adapt to the lack of data, reducing the number of parameters in the model, and introducing the MSCA attention mechanism to inhibit the complex and changeable background features underwater, to improve the semantic feature extraction ability of the UPA-YOLO model for underwater targets, adding the MPDiou loss function to the improved algorithm model and completing the data validation of the detection model; finally, based on the TensorRT acceleration framework, the optimisation of the target detection Finally, based on the TensorRT acceleration framework, the target detection model is optimised, and the Jetson Nano edge device is used to complete the localisation deployment and realise the real-time target detection task of underwater sea treasures. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…Surface-Enhanced Raman Spectroscopy (SERS) substrates offer a promising solution for the sensitive and specific detection of agrochemicals, enabling timely interventions to mitigate their harmful effects on humans and ecosystems. …”
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Few-shot object detection for pest insects via features aggregation and contrastive learning by Shuqian He, Shuqian He, Biao Jin, Biao Jin, Xuechao Sun, Wenjuan Jiang, Wenjuan Jiang, Jiaxing Gu, Fenglin Gu

“…This research provides a practical and efficient solution for pest detection under challenging conditions, reducing dependency on large annotated datasets and improving detection accuracy for minority pest classes. …”
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Expression of MTA1 in preeclamptic placental tissue and its effects on trophoblast function by GENG Yao, ZHANG Yang, ZHAO Jie, LI Wei, CAI Guoqing

“…Objective·To investigate the expression of metastasis-associated protein 1 (MTA1) in placental tissues of preeclampsia (PE) patients and its impact on trophoblast cell function.Methods·Placental specimens were collected from pregnant women with PE (PE group, 20 cases) patients and healthy pregnant women as controls (control group, 35 cases). …”
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Impact of POU3F4 mutation on cochlear development and auditory function by Jiong Dang, Panpan Bian, Chao Chen, Chi Chen, Wenqi Shan, Luhang Cai, Yong Li, Huan Tan, Baicheng Xu, Minxin Guan, Yufen Guo

“…Alterations in expression and subcellular localization of POU3F4 were detected at the cellular level. Auditory function was assessed using auditory brainstem response testing. …”
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Analysis of polypharmacy in elderly patients with decreased kidney and liver function: Case Report by Rina Widiyawati, Khoirul Anam, Nur Oktafiyani, M. Hari Pristantiningtyas, Herya Putra Dharma, Muhammad Muchlis, Jainuri Erik Pratama, Fauna Herawati, Adji Prayitno, Marisca Evalina Gondokesumo

“…According to the 2023 Beers Criteria, elderly patients with reduced kidney function face an elevated risk of drug-related side effects, potentially leading to prolonged hospital stays and increased medical costs.…”
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STRUCTURAL AND FUNCTIONAL DISORDERS OF THE THYROID GLAND IN DIFFERENT TYPES OF LARYNGEAL CANCER TREATMENT by I. N. Vorozhtsova, M. R. Mukhamedov, M. A. Cherkasova, V. N. Latypova

“…Also, hypothyroidism adversely affects the patients’ condition during the postoperative period.Despite the fact that the diagnosis of hypothyroidism is pretty simple, and replacement therapy with L-thyroxine is cheap and available, many doctors don’t monitorthyroid function in cancer patients at all or don’t make all necessary tests.Thus, timely detection of hypothyroidism is extremely important during and after the treatment of laryngeal cancer. …”
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Maternal Plasma Elabela, a Biomarker for the Severity and Kidney Function of Human Preeclampsia by Miaoyan Ma, Yuemin Hou, Jinfang Wu, Yanhua Qi

“…The level of plasma Elabela was detected using ELISA. Results: Plasma Elabela was reduced in preeclampsia patients compared to healthy group, and severe preeclampsia patients had the lower level of Elabela and poorer kidney function. …”
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THE MECHANISMS OF THE DISORDERS OF MOTOR-EVACUATION FUNCTION OF GALL BLADDER AND THEIR IMPORTANCE IN THE DEVELOPMENT OF CHOLELITHIASIS by Ya. M. Vakhrushev, N. A. Khokhlacheva, P. S. Mikheevа, E. V. Suchkova

“…Disturbances of motorevacuation function of the gallbladder, which are one of the pathogenetic factors of cholelithiasis, were detected in 72% of the patients examined. …”
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3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes by Zean Lu, Chengqun Wang, Peng Wang, Weiqiang Xu

“…When encountering diverse data detection needs in a target area, this integration can be further considered to reduce deployment costs. …”
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Nitric oxide mediates metabolic functions in the bivalve Arctica islandica under hypoxia. by Julia Strahl, Doris Abele

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Testing the functionality and contact error of a GPS‐based wildlife tracking network by Melanie J. Davis, Sravan Thokala, Xinyu Xing, N. Thompson Hobbs, Michael W. Miller, Richard Han, Shivakant Mishra

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Personalized ML-based wearable robot control improves impaired arm function by James Arnold, Prabhat Pathak, Yichu Jin, David Pont-Esteban, Connor M. McCann, Carolin Lehmacher, John P. Bonadonna, Tanguy Lewko, Katherine M. Burke, Sarah Cavanagh, Lynn Blaney, Kelly Rishe, Tazzy Cole, Sabrina Paganoni, David Lin, Conor J. Walsh

“…Fourth, we evaluate the effectiveness of our control strategy in improving arm function in a multi-day evaluation. For 5 individuals post-stroke and 4 living with ALS wearing a soft shoulder robot, we demonstrate that the controller identifies shoulder movement with 94.2% accuracy from minimal change in the shoulder angles (elevation: 3.4°, depression: 1.7°) and reduces arm-lowering force by 31.9% compared to a baseline controller. …”
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