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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Weber’s Law as the emergent phenomenon of choices based on global inhibition by Marcin Penconek

“…This hypothesis suggested that the neurophysiological basis for Weber’s Law was linked to choice probabilities of a correct decision using linearly encoded stimulus intensities. Previous studies showed that the postulated mechanism led to the emergence of Weber’s Law. …”
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Charging pile recommendation method for idle electric taxis based on recurrent neural network by Jian JIA, Linfeng LIU, Jiagao WU

“…A charging pile recommendation method for idle electric taxis (CPRM-IET) based on recursive neural network was proposed to recommend the optimal charging piles for idle electric taxis.Usually,the movement of each idle electric taxi depends on the subconscious movement tendency and driving habits of the driver.Therefore,it is necessary to predict the future movement based on its historical movement trajectories,so as to find the charging piles with the least extra movements.In CPRM-IET,a dual-stage attention-based recurrent neural network (DA-RNN) model was provided to predict the future trajectories of electric taxis.DA-RNN model includes two types of attention mechanisms which are input attention mechanism and temporal attention mechanism.The input attention mechanism assigns different weights to the input driving sequence at each time slot,and the temporal attention mechanism assigns weights to the hidden state of the encoder.Based on the predicted future trajectories,several charging piles with the least extra movements were selected and recommended for the idle electric taxis.The simulation results show that CPRM-IET can achieve preferable results in terms of charging extra movement and root mean square error,which reflects that CPRM-IET can accurately predict the future trajectories of idle electric taxis and recommend optimal charging piles for these electric taxis.…”
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A framework for soft mechanism driven robots by Cem Aygül, Can Güven, Sara A. Frunzi, Brian J. Katz, Markus P. Nemitz

“…The integration of electronics and encoders provides reliable closed-loop control for the robot, enabling its operation across various terrains including sand, soil, and rock environments. …”
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Fast HEVC Intramode Decision Based on Hybrid Cost Ranking by Hao Liu, Yuexin Jie

“…The experimental results demonstrate that the proposed scheme averagely provides about 23.7% encoding speedup with just 0.82% BD-rate loss in comparison with default fast intramode decision in HM16.0. …”
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Stage-specific expression and divergent functions of two insulinase-like proteases associated with host infectivity in Cryptosporidium. by Yue Huang, Shifeng Pei, Xin Lv, Fuxian Yang, Xiaoqing Gong, Na Li, Yaqiong Guo, Yaoyu Feng, Lihua Xiao

“…Results from recent comparative genomic studies suggest that gains and losses of multicopy subtelomeric genes encoding insulinase-like proteases (INS-19 and INS-20 in Cryptosporidium parvum and their orthologs in closely related species) may potentially contribute to these differences.…”
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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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Utilizing FRET-based Biosensors to Measure Cellular Phosphate Levels in Mycorrhizal Roots of Brachypodium distachyon by Shiqi Zhang, Lucas Jurgensen, Maria Harrison

“…With the evolution of quantitative imaging with confocal microscopy, particularly the use of genetically encoded fluorescent sensors, live imaging of intracellular Pi concentrations is now achievable. …”
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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

“…Traditionally, this problem is tackled by using resampling techniques or choosing models that approximate the distribution of the normal states. Variational AutoEncoder (VAE) has been studied in anomaly detections despite being more suitable in generative tasks. …”
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Nursing Analysis Based on Medical Imaging Technology before and after Coronary Angiography in Cardiovascular Medicine by Qin Li, Yangyang Yuan, Guangyu Song, Yonghua Liu

“…The algorithm first decomposes the preregistered source medical image by NSST, takes the subimages of different scales as training images, and optimizes the subdictionaries of different scales; then convolution and sparse the subimages on each scale encoding to obtain the sparse coefficients of different subimages; secondly, the combination of improved L1 norm and improved spatial frequency (novel sum-modified SF (NMSF)) is used for high-frequency subimage coefficients, and the fusion of low-frequency subimages improved the rule of combining the L1 norm and the regional energy; finally, the final fused image is obtained by inverse NSST of the fused low-frequency subband and high-frequency subband. …”
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Quantitative perturbation-phenotype maps reveal nonlinear responses underlying robustness of PAR-dependent asymmetric cell division. by Nelio T L Rodrigues, Tom Bland, KangBo Ng, Nisha Hirani, Nathan W Goehring

“…Yet, it is often unclear how such robust outcomes are encoded by developmental networks. Here, we use the Caenorhabditis elegans zygote as a model to understand sources of developmental robustness during PAR polarity-dependent asymmetric cell division. …”
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An Intelligent Web Digital Image Metadata Service Platform for Social Curation Commerce Environment by Seong-Yong Hong, Sung-Joon Lee

“…That is, e-commerce documents are encoded in XML and are gaining much popularity for business-to-business or business-to-consumer transactions. …”
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A human single-neuron dataset for object recognition by Runnan Cao, Peter Brunner, Nicholas J. Brandmeir, Jon T. Willie, Shuo Wang

“…The human amygdala and hippocampus play a key role in object recognition, contributing to both the encoding and retrieval of visual information. Here, we recorded single-neuron activity from the human amygdala and hippocampus when neurosurgical epilepsy patients performed a one-back task using naturalistic object stimuli. …”
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Reducing Cross-Sensor Domain Gaps in Tactile Sensing via Few-Sample-Driven Style-to-Content Unsupervised Domain Adaptation by Xingshuo Jing, Kun Qian

“…We first propose a Global and Local Aggregation Bottleneck (GLAB) layer to compress features extracted by an encoder, enabling the extraction of features containing key information and facilitating unlabeled few-sample-driven learning. …”
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Advancing semantic segmentation: Enhanced UNet algorithm with attention mechanism and deformable convolution. by Effat Sahragard, Hassan Farsi, Sajad Mohamadzadeh

“…Additionally, we incorporate an attention mechanism, specifically ECA-ASPP (Attention Spatial Pyramid Pooling), in the encoding path of UNet to capture multi-scale contextual information effectively. …”
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Comparative genomics of Aspergillus nidulans and section Nidulantes by Sebastian Theobald, Tammi Vesth, Jane L. Nybo, Jens C. Frisvad, Inge Kjærbølling, Stephen Mondo, Kurt LaButti, Sajeet Haridas, Robert Riley, Alan A. Kuo, Asaf A. Salamov, Jasmyn Pangilinan, Anna Lipzen, Maxim Koriabine, Mi Yan, Kerrie Barry, Alicia Clum, Ellen K. Lyhne, Elodie Drula, Ad Wiebenga, Astrid Müller, Ronnie J.M. Lubbers, Roland S. Kun, Ana Carolina dos Santos Gomes, Miia R. Mäkelä, Bernard Henrissat, Blake A. Simmons, Jon K. Magnuson, Jakob B. Hoof, Uffe H. Mortensen, Paul S. Dyer, Michelle Momany, Thomas O. Larsen, Igor V Grigoriev, Scott E. Baker, Ronald P. de Vries, Mikael R. Andersen

“…Proteins that have been investigated in A. nidulans as well as its SMGC families are generally present in the section Nidulantes, supporting its role as model organism. The set of genes encoding plant biomass-related CAZymes is highly conserved in section Nidulantes, while there is remarkable diversity of organization of MAT-loci both within and between the different clades. …”
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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

“…Firstly, to ensure semantic richness, a Bidirectional Encoder Representations from Transformers-based (BERT) attribute-enhanced function embedding method is proposed for the extraction of node attributes in the function call graph. …”
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Pan-inhibition of super-enhancer-driven oncogenic transcription by next-generation synthetic ecteinascidins yields potent anti-cancer activity by Max Cigrang, Julian Obid, Maguelone Nogaret, Léane Seno, Tao Ye, Guillaume Davidson, Philippe Catez, Pietro Berico, Clara Capelli, Clara Marechal, Amélie Zachayus, Clémence Elly, Marie Jose Guillen Navarro, Marta Martinez Diez, Gema Santamaria Nunez, Tsai-Kun Li, Emmanuel Compe, Pablo Avilés, Irwin Davidson, Jean-Marc Egly, Carmen Cuevas, Frédéric Coin

“…Through functional genomic methodologies, we demonstrate that these compounds inhibit the expression of genes encoding lineage-specific or ubiquitous transcription factors/coactivators by selectively targeting the CpG-rich sequences within their promoters and/or enhancers. …”
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A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…After that, a tri-attention mechanism is proposed to enhance the mutual influence among users, items, and their related meta-paths. Finally, the encoded interaction information among the user, the item, and their related meta-paths, which contain more semantic information can be used for recommendation task. …”
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An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in IoT networks by Yousra Mahmoudi, Nadjet Zioui, Hacène Belbachir

“…This paper introduces quantum-inspired particle swarm optimisation clustering (QIPSOC), an innovative metaheuristic that relies on a novel mathematical formulation (MPMC) and integrates principles from quantum computing and particle swarm optimisation to achieve energy-efficient clustering, balancing network performance constraints and energy consumption. By encoding particles as n-qubit systems and employing quantum-inspired motion through qubit rotations along with an inertial damping factor, QIPSOC enhances solution diversity, mitigates premature convergence to local optima, and guides the exploration of the solution space to achieve significant energy savings, ranging from 17.99 % to over 91 %, depending on the network configuration. …”
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