Labor protests of employees of cultural organizations by Petr V. Bizyukov, Taisiya A. Vishnyakova

“…However, the relative indicator (average annual number of protests per 1 million people employed in the sector), which demonstrates the degree of social tension within the industry, paints a different picture: 3.82 protests per 1 million workers in culture, 9.92 protests in healthcare, and 6.79 protests in the cultural sector. …”
Get full text

D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…However, under the facility scenario, existing detection algorithms still have challenging problems such as weak feature extraction ability for occlusion conditions and different fruit sizes, low accuracy on edge location, and heavy model parameters. …”
Get full text

MCIDN: Deblurring Network for Metal Corrosion Images by Jiaxiang Wang, Meng Wan, Pufen Zhang, Sijie Chang, Hao Du, Peng Shi, Hongying Yu, Dongbai Sun, Jue Wang, Yangang Wang

“…Recognizing the critical role of frequency components in image restoration, we develop a frequency channel attention module (FCAM) that selectively focuses on different frequency components of images, thereby enhancing deblurring performance. …”
Get full text

Self-similar Decomposition of the Hierarchical Merger Tree of Dark Matter Halos by Wenkang Jiang, Jiaxin Han, Fuyu Dong, Feihong He

“…Using a set of cosmological simulations and identifying subhalos of different merger levels with hbt+ , we verify that the level-1 subhalo PMF is close to universal across halo mass, redshift, and cosmology. …”
Get full text

BESW-YOLO: A Lightweight SAR Image Detection Model Based on YOLOv8n for Complex Scenarios by Xiao Tang, Kun Cao, Yunzhi Xia, Enkun Cui, Weining Zhao, Qiong Chen

“…First, we introduce a novel lightweight feature pyramid network, bidirectional and multiscale attention feature pyramid network, which effectively enhances the fusion of features across different scales. Second, efficient multiscale convolution (EMSC) is introduced, which is combined with the C2f module in the YOLO model to form a new module, EMSC-C2f. …”
Get full text

LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation by Mohammed Azzakhnini, Houda Saidi, Ahmed Azough, Hamid Tairi, Hassan Qjidaa

“…Nevertheless, most of these solutions adopt centralized architectures with costly servers utilized to process streaming videos sent from different cameras. Centralized architectures do not present the ideal solution due to the high cost, processing time issues, and network bandwidth overhead. …”
Get full text

Pollen–pistil interactions in divergent wide crosses lead to spatial and temporal pre-fertilization reproductive barrier in flax (Linum usitatissimum L.) by Vijaykumar Kailasrao Raut, Aneeta Yadav, Vikender Kaur, Mahesh Rao, Pooja Pathania, Dhammaprakash Wankhede, Mamta Singh, Gyanendra Pratap Singh

“…Self-incompatibility due to the occurrence of heterostyly is very well reported in distantly related crop wild relatives of Linum and, the mechanism of self-incompatibility between different floral morphs is also studied. However, pollen germination and tube growth responses in the interspecific crosses are rarely studied. …”
Get full text

Detection of cyber attacks in electric vehicle charging systems using a remaining useful life generative adversarial network by Hayriye Tanyıldız, Canan Batur Şahin, Özlem Batur Dinler, Hazem Migdady, Kashif Saleem, Aseel Smerat, Amir H. Gandomi, Laith Abualigah

“…Furthermore, we assess the prediction results of different deep learning models, such as gated recurrent units (GRUs), long short-term memory (LSTM), recurrent neural networks (RNNs), convolution neural networks (CNNs), multi-layer perceptron (MLP), and dense layer integrated with generative adversarial networks (GANs), using mean absolute error (MAE), root mean square error (RMSE), mean squared error (MSE), and R-squared (R2). …”
Get full text

Ultrastructural analysis of the structure and distribution of the adherens junctions in the rats’ ventricular myocardium during postnatal stages of ontogeny after the infl uence of... by N. S. Petruk

“…Pairwise comparisons between means of different groups were performed using a Student t-test where, for each couple of normally distributed populations, the null hypothesis that the means are equal was verified. …”
Get full text

Estimating actual crop evapotranspiration by using satellite images coupled with hybrid deep learning-based models in potato fields by Larona Keabetswe, Yiyin He, Chao Li, Zhenjiang Zhou

“…Three models were configured and compared for each CNN-RF (CNN-RF1, CNNRF2, CNNRF3) and CNN-SVM (CNN-SVM1, CNN-SVM2, CNN-SVM3), by using different combinations of variable input features derived from meteorological data (air temperature (Ta), vapour pressure deficit (VPD), net radiation (Rn)) and MODIS satellite data (land surface temperature (LST), fraction of photosynthetically active radiation (Fpar), leaf area index (LAI)). …”
Get full text

MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…An attention mechanism further refines the model’s focus by dynamically weighting the significance of different input features for efficient yield prediction. …”
Get full text

Onset and progression of postmortem histological changes in the kidneys of RccHanTM:WIST rats by Ricardo de Miguel, Raquel Vallejo, Kristel Kegler, Robert Kreutzer, Francisco José Mayoral, Yoshimasa Okazaki, Paula Ortega, Laura Polledo, Tanja Razinger, Olivia Kristina Richard, Raúl Sanchez, Nils Warfving, Anna Domènech, Klaus Weber

“…Necropsies were conducted at different time points postmortem (i.e., 0.5, 1, 4, 8, 12, 24, 36, 48 h for carcasses stored at room temperature, and 7 and 14 days for carcasses stored under refrigeration). …”
Get full text

Cardioattentionnet: advancing ECG beat characterization with a high-accuracy and portable deep learning model by Youfu He, Youfu He, Youfu He, Yu Zhou, Yu Zhou, Yu Qian, Jingjie Liu, Jinyan Zhang, Debin Liu, Qiang Wu, Qiang Wu

“…Specifically, CANet achieved high accuracy in classifying various arrhythmic events, with the following accuracies reported for different categories: Normal (97.37 ± 0.30%), Supraventricular (98.09 ± 0.25%), Ventricular (92.92 ± 0.09%), Atrial Fibrillation (99.07 ± 0.13%), and Unclassified arrhythmias (99.68 ± 0.06%). …”
Get full text

OriLoc: Unlimited-FoV and Orientation-Free Cross-View Geolocalization by Boni Hu, Haowei Li, Shuhui Bu, Lin Chen, Pengcheng Han

“…</label> <caption><p>Cross-view geolocalization performance comparison in different FoV and orientation-free scenarios. (a) Recall@1, (b) Recall@5, (c) Recall@10, and (d) Recall@1&#x0025; accuracy on the CVUSA benchmark. …”
Get full text

SegNeXt-RCMSCA: An improved SegNeXt network for detecting winter wheat lodging from UAS RGB images by Yahui Guo, Wei Zhou, Yongshuo H Fu, Fanghua Hao, Xuan Zhang, Le Xu, Ji Liu, Yuhong He

“…The model was tested using images with different spatial resolutions, and the results indicated that the 60 m (0.8cm/pixel) achieved the highest detection accuracy. …”
Get full text

DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

“…The DMC module improves multi-scale feature extraction to enable the effective capture and merging of features across different detection scales while reducing network parameters. …”
Get full text

Improved MobileVit deep learning algorithm based on thermal images to identify the water state in cotton by Kaijun Jin, Jihong Zhang, Ningning Liu, Miao Li, Zhanli Ma, Zhenhua Wang, Jinzhu Zhang, Feihu Yin

“…A dataset of thermal images of cotton canopies representing three different water states was developed for this study. …”
Get full text

Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

“…The experimental results on different datasets verify the effectiveness of the algorithm. …”
Get full text

Efficient one-stage detection of shrimp larvae in complex aquaculture scenarios by Guoxu Zhang, Tianyi Liao, Yingyi Chen, Ping Zhong, Zhencai Shen, Daoliang Li

“…This paper proposes an efficient one-stage shrimp larvae detection method, FAMDet, specifically designed for complex scenarios in intensive aquaculture. Firstly, different from the ordinary detection methods, it exploits an efficient FasterNet backbone, constructed with partial convolution, to extract effective multi-scale shrimp larvae features. …”
Get full text

Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

“…A hypothetical example illustrates how a succession of different oscillation carriers (gamma, beta, alpha, theta, and delta) could communicate and propagate (broadcast) information sequentially through a neural hierarchy of speech and language processing stages. …”
Get full text