Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

“…To improve efficiency, we proposed a lightweight multi-scale network (LMS Net), which uses a lightweight multi-scale (LMS) block in both the encoder and decoder. The lightweight multi-scale block combines parallel computing and depthwise convolution to reduce the parameters of the network and enhance its multi-scale extraction ability. …”
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A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

“…We introduce asymmetric convolution and dual-domain attention in the encoder, fully integrating effective information from different modalities, enhancing the extraction of features from critical regions, and constructing a dual-branch decoder that combines spatial features and global semantic information for both segmentation and grading. …”
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Flavones enrich rhizosphere Pseudomonas to enhance nitrogen utilization and secondary root growth in Populus by Jiadong Wu, Sijia Liu, Haoyu Zhang, Sisi Chen, Jingna Si, Lin Liu, Yue Wang, Shuxian Tan, Yuxin Du, Zhelun Jin, Jianbo Xie, Deqiang Zhang

“…This study reveals that plant-metabolite-microbe regulation patterns contribute to the poplar fitness and thoroughly decodes the key regulatory mechanisms of tricin, and provides insights into the interactions of the plant’s key metabolites with its transcriptome and rhizosphere microbes.…”
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LCMorph: Exploiting Frequency Cues and Morphological Perception for Low-Contrast Road Extraction in Remote Sensing Images by Xin Li, Shumin Yang, Fan Meng, Wenlong Li, Zongchi Yang, Ruoyu Wei

“…Subsequently, Morphological Perception Blocks (MPBlocks) are employed in the decoder to adaptively adjust the receptive field to the elongated and curved nature of roads. …”
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Opportunities for gas-phase science at short-wavelength free-electron lasers with undulator-based polarization control by Markus Ilchen, Enrico Allaria, Primož Rebernik Ribič, Heinz-Dieter Nuhn, Alberto Lutman, Evgeny Schneidmiller, Markus Tischer, Mikail Yurkov, Marco Calvi, Eduard Prat, Sven Reiche, Thomas Schmidt, Gianluca Aldo Geloni, Suren Karabekyan, Jiawei Yan, Svitozar Serkez, Zhangfeng Gao, Bangjie Deng, Chao Feng, Haixiao Deng, Wolfram Helml, Lars Funke, Mats Larsson, Vitali Zhaunerchyk, Michael Meyer, Tommaso Mazza, Till Jahnke, Reinhard Dörner, Francesca Calegari, Olga Smirnova, Caterina Vozzi, Giovanni De Ninno, Jonas Wätzel, Jamal Berakdar, Sadia Bari, Lucas Schwob, Jérémy R. Rouxel, Shaul Mukamel, Klaus Bartschat, Kathryn Hamilton, Luca Argenti, Nicolas Douguet, Nikolay M. Novikovskiy, Philipp V. Demekhin, Peter Walter

“…Notably for polarization-controlled short-wavelength FELs, the gas phase offers new avenues for investigations of nonlinear and ultrafast phenomena in spin-orientated systems, for decoding the function of the chiral building blocks of life as well as steering reactions and particle emission dynamics in otherwise inaccessible ways. …”
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Some New Constructions of <i>q</i>-ary Codes for Correcting a Burst of at Most <i>t</i> Deletions by Wentu Song, Kui Cai, Tony Q. S. Quek

“…The encoding complexity of this construction is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mfenced separators="" open="(" close=")"><msup><mi>q</mi><mrow><mn>7</mn><mi>t</mi></mrow></msup><mi>n</mi><msup><mrow><mo>(</mo><mi>log</mi><mi>n</mi><mo>)</mo></mrow><mn>3</mn></msup></mfenced></mrow></semantics></math></inline-formula>, and decoding complexity is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mfenced separators="" open="(" close=")"><msup><mi>q</mi><mrow><mn>9</mn><mi>t</mi></mrow></msup><msup><mrow><mo>(</mo><mi>n</mi><mi>log</mi><mi>n</mi><mo>)</mo></mrow><mn>3</mn></msup></mfenced></mrow></semantics></math></inline-formula>. …”
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L’exploitation financière des secteurs populaires argentins by Pablo Ignacio Chena, Alexandre Roig

“…We will show that financialization not replace the labor relations in the decoding of contemporary capitalism. These two relations, labor and finance, are combined, not so much in the light of the rate of profit that capitalist expect, but around the interest rate. …”
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SACU-Net: Shape-Aware U-Net for Biomedical Image Segmentation With Attention Mechanism and Context Extraction by Yinuo Cao, Yong Cheng

“…Our model introduces three major modifications to the standard U-Net: 1) a new context extraction module block (MRC) to capture high-level context features, 2) redesigned skip pathways with spatial and channel attention mechanisms to reduce the semantic gap between the feature maps of encoder and decoder sub-networks, and 3) a novel loss function to enhance segmentation accuracy. …”
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Order in Chaos: Lesser-Conserved and Repeat Structures in Dehydrins by G. Richard Strimbeck

“…An examination of the connecting segments bridging the conserved segments identified additional conserved patterns, suggesting that multi-Y, S-K, and K-S domains may act as functional units. Dhn Decoder identified 857 Dhns with repeat structures, ranging from 3 short, simple repeats to elaborate variations with up to 45 repeats or repeats of up to 85 residues comprising 1 or more of the conserved segments, suggesting that internal sequence duplication is an important mode of evolution in Dhns.…”
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Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

“…Abstract Decoding the semantic categories of complex sceneries is fundamental to numerous artificial intelligence (AI) infrastructures. …”
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Custom exome panel revealed new mutations in MAPK14 and novel mutation in RUNX2 gene in patients with PCOS by Yunus Arikan, Taylan Onat

“…We compared the minor allele frequency (MAF) values of different variants with our results and calculated deleterious scores of newly found variants using various web-based prediction tools and ACMG pathogenicity criteria. We found a novel missense mutation (p.Thr355Ile) in the RUNX2 gene in one patient and heterozygous mutations in the MAPK14 gene (c.306_5delT and c.*8G > T) in another patient with PCOS. …”
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Deep learning–based resource allocation for secure transmission in a non-orthogonal multiple access network by Miao Zhang, Yao Zhang, Qian Cen, Shixun Wu

“…Machine learning techniques, especially deep learning algorithms have been widely utilized to deal with different kinds of research problems in wireless communications. …”
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The Secret Life of Secret Agents: Alan Bennett and John Schlesinger’s An Englishman Abroad (1983) and A Question of Attribution (1991) by Nicole Cloarec

“…How then to conceive of a film that deals with the lives of secret agents while accounting for the very secrecy that defines them? …”
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Introducción al dossier. Dolarización y desdolarización: elementos para el debate by Fander Falconí

“…Esta crisis inició a finales de 1998 y provocó un costoso salvataje bancario, en donde se socializaron las pérdidas hacia los sectores más débiles y con menos opción de operar o imponerse políticamente en el mercado. …”
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Research on mimic decision method based on deep learning by Xiaohan YANG, Guozhen CHENG, Wenyan LIU, Shuai ZHANG, Bing HAO

“…Due to software and hardware differentiation, the problem of false positives mistakenly identified as network attack behavior caused by inconsistent mimic decision results frequently occurs.Therefore, a mimic decision method based on deep learning was proposed.By constructing an unsupervised autoencoder-decoder deep learning model, the deep semantic features of diverse normal response data were explored from different executions and its statistical rules were analyzed and summarized.Additionally, the offline learning-online decision-making mechanism and the feedback optimization mechanism were designed to solve false positive problem, thereby accurately detecting network attacks and improving target system security resilience.Since statistical rules of normal response data was understood and mastered by deep learning model, the mimic decision results among different executions could remain consistent, indicating that the target system was in a secure state.However, once the target system was subjected to a network attacks, the response data outputted by the different executions was deviated from statistical distribution of deep learning model.Therefore, inconsistent mimic decision results were presented, indicating that the affected execution was under attack and the target system was exposed to potential security threats.The experiments show that the performance of the proposed method is significantly superior to the popular mimic decision methods, and the average prediction accuracy is improved by 14.89%, which is conducive to integrating the method into the mimic transformation of real application to enhance the system’s defensive capability.…”
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Outage performance analysis of wireless powered railway Internet of things by Jiaxing MA, Ke XIONG, Yu ZHANG, Zhangdui ZHONG, Qiang NI

“…Based on the scenario of railway Internet of things,the system outage performance of the relay network was analyzed,which was assisted with the power beacon (PB),using the half-duplex decode-and-forward relay mode over the Rician fading channel.In view of the equipment supply problems in railway scenes,such as difficult battery replacing,high management overhead,difficult wiring,etc.…”
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Questioning Mountain Rural Commons in Changing Alpine Regions. An Exploratory Study in Trentino, Italy by Cristina Dalla Torre, Elisa Ravazzoli, Andrea Omizzolo, Alessandro Gretter, Andrea Membretti

“…Few studies have focused on the transformation and adaptation of commons to the changes taking place, such as the progressive penetration of global economic and demographic megatrends at the local level, with the aim of decoding the new tension between community needs and societal needs. …”
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Positioning a Handshake Bay for Twin Stacking Cranes in an Automated Container Terminal Yard Block by Zhi-Hua Hu, Xi-Dan Tian, Yu-Qi Yin, Chen Wei

“…To solve the model, we developed a random-key genetic algorithm with a priority-based decoding scheme to optimize the task sequences and tasks assigned to the cranes. …”
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Bayesian active sound localisation: To what extent do humans perform like an ideal-observer? by Glen McLachlan, Piotr Majdak, Jonas Reijniers, Michael Mihocic, Herbert Peremans

“…As the directional information of a source is implicitly contained in head-centred acoustic cues, that acoustic input needs to be continuously combined with sensorimotor information about the head orientation in order to decode to a world-centred frame of reference. When utilised, head movements significantly reduce ambiguities in the directional information provided by the incoming sound. …”
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Perfil profesional y experiencia escolar en la validación de categorías observacionales de interacciones en aula by Sandra Patricia Rojas-Rojas, Patricia Rosa Argüelles-Bendezú, Marco Antonio Villalta-Paucar, Sergio Martinic-Valencia

“…El sistema de análisis propone cinco categorías: intercambios, intervención del profesor, hablante principal, dirección del habla del profesor y estructura de la clase. …”
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