Experimental assessment of the pyramidal energy on water. by Pedro Díaz Rebollido, Luis Carlos Silva Ayçaguer, Mikhail Benet Rodríguez

“…A recent research has suggested changes in the conductivity and the pH of the water, exposed to the pyramidal effect. …”
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The Economic Pyramid of Unequal Exchange within the European Union by George Economakis, Maria Socrates Markaki

“…According to the analysis, the deeper cause of unequal exchange lies in the established differences in the labor skills between more and less advanced countries. …”
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Synaptic signatures and disease vulnerabilities of layer 5 pyramidal neurons by Gabriele Marcassa, Dan Dascenco, Blanca Lorente-Echeverría, Danie Daaboul, Jeroen Vandensteen, Elke Leysen, Lucas Baltussen, Andrew J. M. Howden, Joris de Wit

“…However, the molecular composition of their synapses remains largely uncharacterized. Here, we dissect the protein composition of the excitatory postsynaptic compartment of mouse L5 neurons in intact somatosensory circuits, using an optimized proximity biotinylation workflow with high spatial accuracy. …”
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Pyramide de Joël Hubaut, restauration d’une œuvre mixte by Aurélie Martin

“…Pyramide is one element of the installation art named Le Triangle de Gertrude dans la Voie Lactee. …”
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Multiscale Feature Learning Based on Enhanced Feature Pyramid for Vehicle Detection by Hoanh Nguyen

“…This paper introduces a feature pyramid architecture to address this problem. In the proposed architecture, an improving region proposal network is designed to generate intermediate feature maps which are then used to add more discriminative representations to feature maps generated by the backbone network, as well as improving the computational cost of the network. …”
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MOLECULAR MARKERS: IMPLEMENTATION IN CROP PLANT BREEDING FOR IDENTIFICATION, INTROGRESSION, AND GENE PYRAMIDING by I. N. Leonova

“…Over the past decades, wide theoretical and practical experience has been obtained in application of DNA markers for investigation of plant genetic diversity, construction of molecular genetic maps, mapping of genes and quantitative trait loci, and employment of molecular marker technologies in the development of commercial cultivars and breeding of crop lines. …”
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Small Object Detection Algorithm Based on Feature Pyramid-Enhanced Fusion SSD by Haotian Li, Kezheng Lin, Jingxuan Bai, Ao Li, Jiali Yu

“…In order to improve the detection rate of the traditional single-shot multibox detection algorithm in small object detection, a feature-enhanced fusion SSD object detection algorithm based on the pyramid network is proposed. Firstly, the selected multiscale feature layer is merged with the scale-invariant convolutional layer through the feature pyramid network structure; at the same time, the multiscale feature map is separately converted into the channel number using the scale-invariant convolution kernel. …”
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Construction of Multi-Scale Fusion Attention Unified Perceptual Parsing Networks for Semantic Segmentation of Mangrove Remote Sensing Images by Xin Wang, Yu Zhang, Wenquan Xu, Hanxi Wang, Jingye Cai, Qin Qin, Qin Wang, Jing Zeng

“…To address these challenges, we present two main contributions. (1) Using multi-source high-resolution satellite imagery from China’s new generation of Earth observation satellites, we constructed the Mangrove Semantic Segmentation Dataset of Beihai, Guangxi (MSSDBG); (2) We propose a novel Multi-scale Fusion Attention Unified Perceptual Network (MFA-UperNet) for precise mangrove segmentation. …”
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Quasi-static and dynamic compression behavior of stacked pyramidal lattice structures with I-beam struts by Mohammed Ayaz Uddin, J. Jefferson Andrew, Imad Barsoum, Shanmugam Kumar, Andreas Schiffer

“…Abstract This study investigates the quasi-static and dynamic compression performance of a newly designed stacked pyramidal lattice (SPL) structure composed of struts that resemble I-beams. …”
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A detector based on a multiscale fusion pyramid focus network for catenary support components by Xinyu ZHU, Haorui CUI, Yang SONG

“…The results demonstrate that the proposed multiscale feature pyramid FCOS (MFP-FCOS) algorithm offers excellent overall performance compared to many classical algorithms. …”
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Predicted Anchor Region Proposal with Balanced Feature Pyramid for License Plate Detection in Traffic Scene Images by Hoanh Nguyen

“…In the proposed framework, ResNet-34 architecture is first adopted for generating the base convolution feature maps. A balanced feature pyramid generation module is then used to generate balanced feature pyramid, of which each feature level obtains equal information from other feature levels. …”
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EMSPAN: Efficient Multi-Scale Pyramid Attention Network for Object Counting Under Size Heterogeneity and Dense Scenarios by Phu Nguyen Phan Hai, Bao Bui Quoc, Trang Hoang

“…This approach preserves spatial information more effectively and produces more accurate density maps, even in complex scenes. …”
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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

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Is Objective Structured Practical Examination a Better Option than Conventional Practical Examination in Assessing Students’ Competency? An Analytical Research by Arup J. Rout, Pallabi Dasgupta, Tushar K. Saha, Daliya Biswas

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A real-time detection method for multi-scale ships in complex scenes by Weina ZHOU, Lu LIU

“…Ship detection plays an important role in tasks such as military reconnaissance, maritime target tracking, and maritime traffic control.However, due to the influence of variable sizes of ships and complex background of sea surface, detecting multi-scale ships remains a challenge in complex sea surfaces.To solve this problem, an improved YOLOv4 method based on multi-layers information interactive fusion and attention mechanism was proposed.Multi-layers information interactive fusion (MLIF) and multi-attention receptive field (MARF) were applied and combined reasonably to build a bidirectional fine-grained feature pyramid.MLIF was used to fuse feature of different scales, which not only concatenated high-level semantic features from deep layers, but also reshaped richer features from shallower layers.MARF consisted of receptive field block (RFB) and attention mechanism module, which effectively emphasized the important features and suppressed unnecessary ones.In addition, to further evaluate the performance of the proposed method, experiments were carried out on Singapore maritime dataset (SMD).The results illustrate that the method proposed can effectively solve the problem of difficult detection of multi-scale ships in complex marine environment, and meet the real-time requirements at the same time.…”
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Explanation of Local Elections in Iran from the Perspective of the Geopolitics of Gender (Case Study: Urban and Rural Council Elections in Fars Province) by nayereh akhavan, Narjessadat hossainy nasrabady

“…Given the high geopolitical weight of women in the Iranian population pyramid, the present study has reviewed the city and village council elections in Fars province from a geopolitical perspective of gender. …”
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ViTAU: Facial paralysis recognition and analysis based on vision transformer and facial action units by Jia GAO, Wenhao CAI, Junli ZHAO, Fuqing DUAN

“…With the rapid advancement of deep learning and computer vision technologies, automatic recognition of facial paralysis has become feasible, offering a more accurate and objective diagnostic approach. …”
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The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning by Chuan Mou

“…These findings indicate that the proposed CANet model performs better in image classification and human body parsing tasks, presenting higher accuracy and generalization capabilities. …”
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MOLECULAR SCREENING OF POTATO VARIETIES BRED IN THE NORTHWESTERN ZONE OF THE RUSSIAN FEDERАTION by Т. A. Gavrilenko, N. S. Klimenko, O. Yu. Antonova, V. A. Lebedeva, Z. Z. Evdokimova, N. M. Gadjiyev, O. V. Apalikova, N. V. Alpatyeva, L. I. Kostina, N. M. Zoteyeva, F. T. Mamadbokirova, K. V. Egorova

“…The information about the presence of markers of R genes and about cytoplasm types of hybrids and varieties will allow an effective implementation of further breeding programs for resistance to a complex of pathogens, including pyramiding of R genes. The data of molecular screening made it possible to specify the pedigrees of several varieties and hybrids that have been created over several decades.…”
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