Patient characteristics and hospitalisation costs of spinal muscular atrophy in Spain: a retrospective multicentre database analysis by Josep Darbà, Alicia Marsà

“…The average annual cost per admission was €6274, with large variations likely to reflect disease complexity and that increases with length of stay.Conclusions The rarity of the disease difficulties the study of demographics and management; yet, an analysis of patient characteristics provides necessary information that can be used by governments to establish more efficient healthcare protocols. …”
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Les stages, capteurs et facteurs des transformations d’un champ professionnel : le cas de l’ingénierie de territoire en Rhône-Alpes by Maud Hirczak, Yoann Morin, Grégoire Feyt

“…This article reflects on the interactions between higher education internships and hosting structures in the field of land planning engineering. …”
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DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer by Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li

“…A deep bidirectional fusion network is developed, DBF‐Net, achieving efficient yet accurate 6D object pose estimation. Specifically, a sparse linear Transformer (SLT) with linear computation complexity is introduced to effectively leverage cross‐modal semantic resemblance during the feature extraction stage, such that it fully models semantic associations between various modalities and efficiently aggregates the globally enhanced features of each modality. …”
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Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel by Lucas Agobert, Laurent Gerbaud, Benoit Delinchant

“…Optimal sizing, on top of developing such a model, is a significant challenge for designers, particularly due to the complexity of incorporating efficiently both time-domain and frequency-domain constraints and objectives. …”
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Large-scale phylogenomic insights into the evolution of the Hymenochaetales by Heng Zhao, Fang Wu, Sundy Maurice, Igor N. Pavlov, Konstantin V. Krutovsky, Hong-Gao Liu, Yuan Yuan, Yu-Cheng Dai

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The implementation of Safety Management Systems in healthcare: a systematic review and international comparison by Zhivko Zhelev, Sian de Bell, Alison Bethel, Maria Clarke, Rob Anderson, Jo Thompson Coon

“…Topic-related factors concerned the perceived complexity of a theme and its connection with existing projects or guidelines. …”
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Enabling next-generation engineered TCR-T therapies based on high-throughput TCR discovery from diagnostic tumor biopsies by Thomas Kuilman, Deborah S. Schrikkema, Jules Gadiot, Raquel Gomez-Eerland, Laura Bies, Julia Walker, Robbert M. Spaapen, Hanna Kok, Demi Houg, Milena Viyacheva, Yvonne B. Claassen, Manuel Saornil, Oscar Krijgsman, Bas Stringer, Huiwen Ding, Anou Geleijnse, Anne C. Meinema, Bianca Weissbrich, Melissa Lancee, Carmen G. Engele, Marianna Sabatino, Pei-Ling Chen, Kenneth Y. Tsai, James J. Mulé, Vernon K. Sondak, Jitske van den Bulk, Noel F. de Miranda, Inge Jedema, John G. Haanen, Jeroen W. J. van Heijst, Ton N. Schumacher, Carsten Linnemann, Gavin M. Bendle

“…Using a genetic screening approach that detects antigen-reactive TCRs with high sensitivity and specificity based on T cell activation, we show that high complexity TCR libraries can be efficiently screened against multiplexed antigen libraries to identify both HLA class I and II restricted TCRs. …”
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Intronomics-MIP: a snakemake pipeline for analyzing multilocus intron polymorphisms in species identification and population genomics by A. Scapolatiello, E. Boscari, L. Schiavon, N. Vitulo, L. Congiu

“…These MIPs serve as powerful multiple-allelic markers, primarily useful for distinguishing species, identifying cryptic species, disentangling species complexes and detecting hybridization, but can also be informative for assessing population structure without prior species knowledge. …”
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Cellular network based multistatic integrated sensing and communication systems by Zixiang Han, Haiyu Ding, Lincong Han, Liang Ma, Xiaozhou Zhang, Mengting Lou, Yajuan Wang, Jing Jin, Qixing Wang, Guangyi Liu, Jiangzhou Wang

“…This system is important since the deployment of sensing function can be achieved upon the mobile communication network at low complexity and cost without modifying the architecture of BSs for full duplexing. …”
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Microscopic Pore–Throat Architecture and Fractal Heterogeneity in Tight Sandstone Reservoirs: Insights from the Denglouku Formation, Xujiaweizi Fault Depression by Zeqiang Wang, Yunfeng Zhang, Yilin Li, Xuntao Yu, Jiapeng Yuan, Botao Huang

“…The pore–throat structure in the study area exhibited typical three-segment fractal characteristics, reflecting the complexity and multi-scale heterogeneity of the reservoir’s pore–throat system. …”
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Research on bearing fault feature transfer diagnosis based on balanced distribution adaptation under feature fusion by Lulu Wang, Yongqi Li, Chunyi Zhang, Ralph Gerard Sangalang

“…Firstly, time-domain features of the bearing signals are extracted to comprehensively reflect the operational state of the bearings. Principal Component Analysis (PCA) is then utilized to reduce the dimensionality of the high-dimensional features, preserving the main information while reducing computational complexity. …”
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Strong parameter hierarchy in the interstellar phosphorus chemical network by Marina Fernández-Ruz, Marina Fernández-Ruz, Izaskun Jiménez-Serra, Mario Castro, Mario Castro, Marta Ruiz-Bermejo, Jacobo Aguirre, Jacobo Aguirre

“…In this study, we introduce the Fisher Information Spectral Reduction (FISR) algorithm, a novel and computationally efficient method to reduce the complexity of such sloppy models. …”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…Moreover, we shall show that the concatenation of channel-spatial attention to parallel attention module enables detecting haze component information more accurately while reducing the model complexity proportional to the number of parameters by combining the channel and spatial information generated respectively from two different channel and spatial branches. …”
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Systems monitoring platform integrating artificial intelligence for incident response in servers by Bruno Hiroshi Espinosa-Luna, Johann Castillo-Oliva, Willy Francisco García-Gutiérrez, Alberto Carlos Mendoza-de-los-Santos

“… The increasing complexity of IT management and the need to monitor critical infrastructure metrics, such as CPU usage, memory, storage, and service logs, detect failures, and respond quickly to alerts, imply the adoption of advanced technologies that enable comprehensive monitoring and efficient response. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…It exploits the fundamental trade-off between the complexity and simplicity of statistical sets in high-dimensional spaces without relying on global optimization techniques. …”
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An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing by Donghun Lee, Suhee Kim, Hoonseok Park, Haejoong Kim, Ri Choe, Younkook Kang, Jae-Yoon Jung, Kwanho Kim

“…In semiconductor manufacturing, the most important logistics management is the efficient operation of overhead hoist transports (OHTs). …”
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Methods for Extracting Fractional Vegetation Cover from Differentiated Scenarios Based on Unmanned Aerial Vehicle Imagery by Changning Sun, Yonggang Ma, Heng Pan, Qingxue Wang, Jiali Guo, Na Li, Hong Ran

“…Nonetheless, higher scene complexity and image entropy reduce the applicability of precise FVC extraction methods. …”
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AI in Marketing Management: Executive Perspectives from Companies

“…The findings reveal that effort expectancy and facilitating conditions are critical drivers of AI adoption. AI aversion, reflecting concerns about distrust, complexity, and ethical risks, emerges as a significant barrier, particularly for CEOs of smaller firms, where its impact is notably stronger. …”
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Effects of startle on cognitive performance and physiological activity revealed by fNIRS and thermal imaging by Flora Schwartz, Jonathan Deniel, Mickaël Causse

“…These results underscore the complexity of startle-induced cognitive and physiological dynamics, which may have implications for occupational settings where managing sudden stressors is crucial.…”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…The proposed model utilizes a hybrid framework that combines standard and dilated convolutional networks, advanced attention mechanisms, and temporal sequence learning to address the complexities of ECG data. A parallel architecture integrates a MobileViT block for efficient spatial feature extraction and an Efficient Channel Attention (ECA) module to refine feature representations. …”
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