6G-ADM: knowledge based 6G network management and control architecture by Jianxin LIAO, Xiaoyuan FU, Qi QI, Jingyu WANG, Haifeng SUN

“…There is a contradiction between demand growth and resource consumption, which poses an important challenge to the high adaptation of fine-grained resources. This paper proposes 6G-ADM to improve network management and control knowledge, aiming to form a closed loop to support on-demand services, and effectively deal with the contradiction between demand growth and resource consumption in 6G networks. …”
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Contribution à l’étude du régime alimentaire du Chimpanzé, Pan troglodytes verus (Schwarz, 1934), à Fongoli (Kédougou, Sénégal) by Landing Badji, Papa Ibnou Ndiaye, Stacy Marie Lindshield, Cheikh Tidiane Bâ, Jill Pruetz

“…Nos résultats ont montré que ces chimpanzés ont un régime principalement frugivore, mais consomment également des feuilles, des fleurs, des graines. Ils sont aussi insectivores et consomment des protéines d’origine animale. …”
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On-demand and efficient scheduling scheme for cryptographic service resource by Wenlong KOU, Yuyang ZHANG, Fenghua LI, Xiaogang CAO, Jiamin LI, Zhu WANG, Kui GENG

“…Objective: The popularity of network technology makes more and more enterprises and individuals join the wave of the Internet, and data presents an explosive exponential growth trend.With the increasing demand for data security transmission and fine-grained authentication, the use of cryptographic services in various applications is becoming more frequent. …”
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Hurricane Effects on a Shallow Lake Ecosystem and Its Response to a Controlled Manipulation of Water Level by Karl E. Havens, Kang-Ren Jin, Andrew J. Rodusky, Bruce Sharfstein, Mark A. Brady, Therese L. East, Nenad Iricanin, R. Thomas James, Matthew C. Harwell, Alan D. Steinman

“…These strong velocities were associated with large-scale uplifting and horizontal transport of fine-grained sediments from the lake bottom. Water quality data collected after the storm confirmed that the hurricane resulted in lake-wide nutrient and suspended solids concentrations far in excess of those previously documented for a 10-year data set. …”
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Harnessing root phenotyping and root growth plasticity of landraces of maize (Zea mays L.) for enhancing waterlogging tolerance in fragile and challenging agro-ecologies of Eastern... by E. Lamalakshmi Devi, Krishnappa Rangappa, Ayam Gangarani Devi, S.K. Chongtham, Ingudam Bhupenchandra, Konsam Sarika, Harendra Verma, Rumi Narzari, Samarendra Hazarika, Sankar Prasad Das, B.U. Choudhury, Anil Kumar Choudhury, T.L. Bhutia, V.K. Mishra

“…Genotype RCM-11-19 apart from scoring high through visual scoring was also found to have the highest dry biomass (76.7 g plant-1) and grain yield (12.2 g plant-1) under WL conditions. …”
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进口大豆储存期间品质变化研究 Quality changes of imported soybeans during storage by 郑有涛，曾剑豪，孙玉萍，陈伟，杨亚，仇长璐，符文志 " ZHENG Youtao, ZENG Jianhao, SUN Yuping, CHEN Wei, YANG Ya, QIU Changlu, FU Wenzhi"

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ReluformerN: Lightweight High-Low Frequency Enhanced for Hyperspectral Agricultural Lancover Classification by LIU Yi, ZHANG Yanjun

“…This network considered frequency from the perspective of high-frequency information, taking into account the local features of image high-frequency information, and used deep separable convolution to design a lightweight network for fine-grained feature extraction of high-frequency information. …”
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Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

“…SPD-Conv was introduced to replace the original convolutional layers to retain fine-grained information and reduce model parameters and computational costs, thereby improving the accuracy of disease detection. …”
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BDC-DAL: A new algorithm using blueprint difference convolution and dual auxiliary supervision for lightweight face anti-spoofing(BDC-DAL：基于蓝图差分卷积和双重辅助监督的轻量化人脸活体检测算法)... by 叶继华(YE Jihua), 梁芳昕(LIANG Fangxin), 王超(WANG Chao), 肖顺杰(XIAO Shunjie), 宗义(ZONG Yi), 江爱文(JIANG Aiwen)

“…This novel approach effectively reduces the parameters and computation of the model by combining a lightweight convolutional structure and blueprint difference convolutional design, while retaining the ability to capture complex fine-grained features. In addition, the introduced dual auxiliary supervision mechanism utilizes the reconstruction process of supervised signals to learn subtle spoof clues, which significantly improves the robustness of the model to unknown attack scenarios. …”
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Le camp F de Lautagne à Valence (Drôme) : l’organisation interne et la vie quotidienne d’un camp militaire romain au milieu du ier s. av. J.-C. by Magalie Kielb Zaaraoui, Loïc Buffat, Michel Reddé, Yahya Zaaraoui

“…At Lautagne, barley was the most commonly consumed grain on site (60%, compared to 23% wheat), leading us to assume that during the middle of the 1st c. …”
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A Study on the Genotype × Environment Interaction in Promising Advanced Genotypes of Soybean using Graphical GGE-biplot Analysis by Bahram Masoudi, Amir Gholizadeh, Parastoo Majidian, Ebrahim Hezarjaribi, Nasrin Razmi, Farnaz Shariati

“…Finally, this research seeks to identify stable soybean genotypes with high grain yields under different environmental conditions. …”
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A strontium isoscape of southwestern Australia and progress toward a national strontium isoscape by P. de Caritat, P. de Caritat, A. Dosseto, F. Dux

“…A coarse (<span class="inline-formula">&lt;</span> 2 mm) grain-size fraction was air-dried, sieved, milled, and then digested (hydrofluoric acid and nitric acid, followed by aqua regia) to release total Sr. …”
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