Les syndicats, les commissaires et le politique : (re)valorisations et conflits autour de la profession policière en Tunisie (2011-2022) by Audrey Pluta

“…These elements tend to reverse the hierarchical pyramid within the police, but also create desirable professional horizons for officers who were previously excluded from certain functions. …”
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Proposed framework for the integration of refractive error services into the eye health ecosystem in Kenya via social enterprise by Shadrack Muma, Kovin Shunmugam Naidoo, Rekha Hansraj

“…However, to achieve effective refractive error coverage across the economic pyramid, integration of enterprises inclined towards fulfilling a social mission through innovative approaches such as telemedicine is desirable. …”
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DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism by Cong Lin, Wencheng Jiang, Weiye Zhao, Lilan Zou, Zhong Xue

“…Furthermore, the small target detection layer has been fused with BiFPN (Bi-directional Feature Pyramid Network) to strengthen the integration of multi-scale features and enrich the extraction of semantic features. …”
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Adaption oder Anpassung? Umweltbewusstsein in der Region um den Plattensee/Balaton (Adaptation or a Change in Attitude? Environmental Awareness in the Region of Lake Balaton) by Magdolna Leveleki

“…Even though environmental values usually score at the top of the pyramide of values, support for actions aiming at solving environmental problems is not too strong.…”
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A blind navigation guide model for obstacle avoidance using distance vision estimation based YOLO-V8n by EBERE CHIDI, Edward Anoliefo, Collins Udanor, Asogwa Tochukwu Chijindu, Lois Onyejere Nwobodo

“…Then, the YOLO-V8n architecture was improved by adding a Weighted Feature Enhancement (WFE) model to the backbone for improved feature extraction, and Bi-directional Feature Pyramid Network (Bi-FPN) was applied to the neck to improve multi-scale feature representation. …”
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Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion by Tursun Mamat, Abdukeram Dolkun, Runchang He, Yonghui Zhang, Zulipapar Nigat, Hanchen Du

“…Simultaneously, the Shuffle Attention mechanism and the transplanted spatial pyramid pooling-fast (SPP-F) reuse structure are introduced in the feature extraction network to enhance the model’s attention to detection targets. …”
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A Pine Wilt Disease Detection Model Integrated with Mamba Model and Attention Mechanisms Using UAV Imagery by Minhui Bai, Xinyu Di, Lechuan Yu, Jian Ding, Haifeng Lin

“…The third component, Path Aggregation Feature Pyramid Network (PAFPN), facilitates the fusion and refinement of data at varying scales, thereby enhancing the model’s capacity to detect multi-scale objects. …”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…Taking the original YOLOv8 model as a baseline, the new model enhances the ability to extract shallow features from small targets by increasing the P2 detection layer and improving the Feature Pyramid Network(FPN) and Path Aggregation Network(PAN) structures. …”
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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…To address these issues, based on the single-stage target detection algorithm YOLOv8n, this study proposed an underground coal mine multi-target detection algorithm based on feature extraction by dynamic snake convolution (FEDSC)-feature fusion by bi-directional feature pyramid network and semantic and detail fusion (FFBD). …”
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CSGD-YOLO: A Corn Seed Germination Status Detection Model Based on YOLOv8n by Wenbin Sun, Meihan Xu, Kang Xu, Dongquan Chen, Jianhua Wang, Ranbing Yang, Quanquan Chen, Songmei Yang

“…Initially, to alleviate the complexity encountered in conventional models, a lightweight spatial pyramid pooling fast (L-SPPF) structure is engineered to enhance the representation of features. …”
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DEPDet: A Cross-Spatial Multiscale Lightweight Network for Ship Detection of SAR Images in Complex Scenes by Jing Zhang, Fan Deng, Yonghua Wang, Jie Gong, Ziyang Liu, Wenjun Liu, Yinmei Zeng, Zeqiang Chen

“…Moreover, to enhance the fusion of features at diverse scales, we design a new path aggregation feature pyramid network DEPAFPN, which combines deformable convolution and CSMSC2F. …”
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Application of MRI image segmentation algorithm for brain tumors based on improved YOLO by Tao Yang, Xueqi Lu, Lanlan Yang, Miyang Yang, Jinghui Chen, Hongjia Zhao

“…A series of optimizations were made to the original YOLOv5 algorithm, introducing the Atrous Spatial Pyramid Pooling (ASPP), Convolutional Block Attention Module (CBAM), Coordinate Attention (CA) for structural improvement, resulting in several optimized versions, namely YOLOv5s-ASPP, YOLOv5s-CBAM, YOLOv5s-CA, YOLOv5s-ASPP-CBAM, and YOLOv5s-ASPP-CA. …”
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A lightweight wheat ear counting model in UAV images based on improved YOLOv8 by Ruofan Li, Xiaohua Sun, Kun Yang, Zhenxue He, Zhenxue He, Xinxin Wang, Xinxin Wang, Chao Wang, Chao Wang, Bin Wang, Fushun Wang, Fushun Wang, Hongquan Liu, Hongquan Liu

“…First, the high resolution micro-scale detection layer (P2) is introduced to enhance the model’s ability to recognize and localize small targets, while the large-scale detection layer (P5) is eliminated to minimize computational redundancy. Then, the Spatial Pyramid Dilated Convolution (SPD-Conv) module is employed to improve the ability of the network to learn features, thereby enhancing the representation of weak features of small targets and preventing information loss caused by low image resolution or small target sizes. …”
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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

“…These maps are then processed through a pyramid convolutional neural network interpreter to generate heatmaps. …”
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The gene Sr38 for bread wheat breeding in Western Siberia by E. S. Skolotneva, V. N. Kelbin, V. P. Shamanin, N. I. Boyko, V. A. Aparina, E. A. Salina

“…On the grounds of the composition of the West Siberian P. graminis f. sp. tritici population, the Sr38 gene can be considered a candidate for pyramiding genotypes promising for the Novosibirsk, Altai, and Krasnoyarsk regions.…”
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A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study by Zhongping Guo, Ying Liu, Jingxu Xu, Chencui Huang, Fandong Zhang, Chongchang Miao, Yonggang Zhang, Mengshuang Li, Hangsheng Shan, Yan Gu

“…The model combined ResUNet with the Pyramid Scene Parsing Network (PSPNet) to enhance plaque segmentation. …”
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Studying a collection of common-wheat varieties for leaf rust resistance, crop yield and grain quality in the environmental conditions of Novosibirsk region by L. P. Sochalova, V. A. Aparina, N. I. Boyko, E. V. Zuev, E. V. Morozova, E. V. Musinov, N. A. Vinichenko, I. N. Leonova, V. V. Piskarev

“…Varieties Tuleevskaya and Altayskaya 110 with Lr9 in their genomes are recommended for the development of resistance gene-pyramided genotypes. The highest protein and gluten contents were observed in the CS2A/2M sample, while KWS Buran, Altayskaya 110, Volgouralskaya, and KWS Akvilon showed the lowest values. …”
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Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+ by HU Chengxi, TAN Lixin, WANG Wenyin, SONG Min

“…[Methods]The primary technical innovation resided in the amalgamation of a lightweight network architecture, MobilenetV2, with an attention mechanism known as efficient channel attention network (ECANet), alongside optimization modules including atrous spatial pyramid pooling (ASPP). Initially, MobilenetV2 was employed as the feature extractor, substituting traditional convolution operations with depth wise separable convolutions. …”
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Case Reports: The core of practice-based evidence by Antonio Villa

“…However, the clinical case as the bottom of scientific pyramid is the starting point for carrying out most evidence-based scientific contributions like metanalysis and clinical trials [1]. …”
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Presenting the local model of increasing the market share in Iran's dairy industry with a qualitative approach by leila taheri fard, farzad asayesh, alireza rousta

“…Milk and its products are of special importance in human life due to their extraordinary nutritional value, and they always provide part of the body's needs in the human food pyramid, including protein and some vitamins and especially calcium, but they do not have substitute products; therefore, in terms of examining alternative goods, the circle of investigation should be limited to all types of dairy products (Mousavinejad & Khoramnia, 2021). …”
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