Error-correcting codes and genetics by Gérard Battail

“…., that several codes are combined into a layered structure which results in an unequal protection: the older and more fundamental parts of the genomic information are better protected than more recent ones. …”
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Multi-timescale scheme for cooperative user association and hybrid beamforming in mmWave MIMO systems by Mohammadreza Heydarian, Didier Colle, Mario Pickavet, Wouter Tavernier

“…Abstract Hybrid beamforming has received significant attention as a solution to the thermal issues, costs, and implementation complexities associated with fully digital mmWave extremely large MIMO (XL-MIMO) systems. …”
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Care and management of a double burden of chronic diseases: Experiences of patients and perceptions of their healthcare providers. by Nasheeta Peer, Anniza de Villiers, Deborah Jonathan, Cathy Kalombo, Andre-Pascal Kengne

“…<h4>Conclusions</h4>The mixed reactions elicited to the integration of healthcare services for HIV, hypertension and other non-communicable diseases highlights the complexities involved in implementing such services. …”
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Optimizing feature selection and deep learning techniques for precise detection of low-rate distributed denial of service (LDDoS) attack by Naeem Ali Al-Shukaili, Miss Laiha M. Kiah, Ismail Ahmedy

“…Abstract The solution for cybersecurity faces significant challenges due to the growing complexity of denial of service (DoS) attacks, especially Low-rate Distributed Denial of Service (LDDoS) attacks. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Recently, neural network-based approaches have shown promise over traditional symbolic methods, offering fixed complexity in inference and suitability for hardware implementation. …”
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mTOR acts as a pivotal signaling hub for neural crest cells during craniofacial development. by Xuguang Nie, Jinxuan Zheng, Christopher L Ricupero, Ling He, Kai Jiao, Kai Jiao, Jeremy J Mao

“…mTOR is a highly conserved serine/threonine protein kinase that is critical for diverse cellular processes in both developmental and physiological settings. mTOR interacts with a set of molecules including Raptor and Rictor to form two distinct functional complexes, namely the mTORC1 and mTORC2. Here, we used novel genetic models to investigate functions of the mTOR pathway for cranial neural crest cells (NCCs), which are a temporary type of cells arising from the ectoderm layer and migrate to the pharyngeal arches participating craniofacial development. mTOR deletion elicited a proliferation deficit and excessive apoptosis of post-migratory NCCs, leading to growth arrest of the facial primordia along with midline orofacial clefts. …”
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3D reconstruction of toys based on adaptive scaled neural radiation field by Jiajun Zou, Shaojiang Liu, Feng Wang, Weichuan Ni, Shitong Ye

“…The NeRF model is enhanced to incorporate an adaptive scaling mechanism that dynamically optimizes rendering sampling accuracy according to the local complexity of the scene. Spectral sensing techniques are integrated to reproduce the true colors of materials accurately. …”
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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…Most of the existing data generation methods do not consider temporal characteristics in order to reduce complexity. This can lead to insufficient feature extraction capability. …”
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MGFNet: An MLP-dominated gated fusion network for semantic segmentation of high-resolution multi-modal remote sensing images by Kan Wei, JinKun Dai, Danfeng Hong, Yuanxin Ye

“…To address this issue, this paper proposes a multi-layer perceptron (MLP) dominated gate fusion network (MGFNet). …”
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Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…The architecture features an innovative asymmetric primal–dual space at each iteration layer, enabling dimension-specific operations that balance reconstruction quality with computational efficiency. …”
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Multimodal approach to public health interventions using EGG and mobile health technologies by Xiao Zhang, Han Liu, Mingyang Sun, Shuangyi Feng

“…However, traditional models often face challenges with the complexity and high dimensionality of EEG signals. While recent advancements like Contrastive Language-lmage Pre-training(CLIP) models excel in cross-modal understanding, their application to EEG-based tasks remains limited due to the unique characteristics of EEG data.MethodsIn response, we introduce PH-CLIP (Public Health Contrastive Language-lmage Pretraining), a novel framework that combines CLIP's representational power with a multi-scale fusion mechanism designed specifically for EEG data within mobile health technologies. …”
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Development of a Data‐Driven Lightning Scheme for Implementation in Global Climate Models by Vincent Verjans, Christian L. E. Franzke

“…In particular, we design a tree‐based regression scheme, representing different lightning regimes with separate single hidden layer neural networks of low dimensionality. We apply multiple complexity constraints in the development stages, which makes our lightning scheme straightforward to implement within global climate models (GCMs). …”
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Methodology for assessing the stability and evaporation of volatile substances from the soil by Kochetova Zh. Yu., Shishkin A. V., Velikanov A. V.

“…This process is associated with certain difficulties caused, first of all, by the complexity of modeling the emission of toxicants from soils in laboratory conditions, and the duration of the process. …”
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Crowd Evacuation Dynamics Under Shooting Attacks in Multi-Story Buildings by Dianhan Chen, Peng Lu, Yaping Niu, Pengfei Lv

“…Mass shootings result in significant casualties. Due to the complexity of buildings, capturing crowd dynamics during mass shooting incidents is particularly challenging. …”
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Federated Deep Learning for Scalable and Explainable Load Forecasting in Privacy-Conscious Smart Cities by Ibrahim Alzamil

“…These shifts introduce significant complexity into electricity load forecasting, challenging conventional centralized AI models. …”
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A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms by S. Malathi, A. Shenbagavalli, N. Sriraam

“…Lastly, the categorization layer of the CNN model is replaced with Support Vector Machine(SVM) classifier with L2 regularization and found the prospects of DCLW-NN Classifier. …”
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Time-Domain ADC and Security Co-Design for SiP-Based Wireless SAW Sensor Readers by Zhen Mao, Bing Li, Linning Peng, Jinghe Wei

“…The signal-processing architecture of passive surface acoustic wave (SAW) sensors presents significant implementation challenges due to its radar-like operational principle and the inherent complexity of discrete component-based hardware design. …”
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Unending dialectical politics of identity in Ethiopia [version 1; peer review: 2 approved] by Tefera Assefa

“…One of the primary challenges in Ethiopian present political discourse is misconception, complexity, and contradiction between ethnic identity (የብሄር ማንነት) and civic identity or citizenship (የዜግነት ማንነት), which must be addressed in Ethiopian political discourse. …”
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Navigating competing needs: a qualitative study on parenthood with a partner with Huntington’s disease by Kristin J. Billaud Feragen, Sidsel Egedal, Siri Hagen Kjolaas

“…The aim of the study was to explore how parents without HD experience and manage parenthood when their partner is affected by HD.Methods Qualitative interviews with 14 caregivers were analysed using reflexive thematic analysis.Results Three main themes with corresponding subthemes were identified, followed by an underlying theme: Genetic risk: An underlying layer of complexity. The first theme, Balancing competing demands, describes the challenges involved when attempting to attend to conflicting needs within the family. …”
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Evolution of the karyopherin-β family of nucleocytoplasmic transport factors; ancient origins and continued specialization. by Amanda J O'Reilly, Joel B Dacks, Mark C Field

“…<h4>Background</h4>Macromolecular transport across the nuclear envelope (NE) is achieved through nuclear pore complexes (NPCs) and requires karyopherin-βs (KAP-βs), a family of soluble receptors, for recognition of embedded transport signals within cargo. …”
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