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2025

Новости за 21.07.2025

Plos.org 

Intensive vital signs monitoring reduces 30-day mortality among stroke patients: A cohort study from Tanzania

by Basil Tumaini, Ipyana Kunjumu, Mohamed Mnacho, Patricia Munseri

Background

Stroke is a leading cause of mortality and disability worldwide, with disproportionate impacts in low- and middle-income countries due to limited healthcare resources. Monitoring vital signs during the acute phase of a stroke is critical for detecting complications. We aimed to assess the impact of intensive (6-hourly) versus usual practice (12-hourly) vital sign monitoring strategies on stroke outcomes at Mloganzila Hospital, Tanzania. Читать дальше...

Plos.org 

Towards greater integration: Prospects for the development of agri-food trade between the EU and RCEP countries

by Joanna Łukasiewicz, Bartłomiej Bajan, Karolina Pawlak

The Regional Comprehensive Economic Partnership (RCEP) is the largest free trade agreement in the world, making it a potentially attractive trading partner for the European Union (EU). This paper aims to fill a research gap by examining agri-food trade between the EU and RCEP, with a focus on uncovering opportunities for sectoral cooperation and identifying competitive dynamics. It employs trade structure similarity and intra-industry trade analysis... Читать дальше...

Plos.org 

Refined CRISPR/Cas9 genome editing in the pea aphid uncovers the essential roles of Laccase2 in overwintering egg adaptation

by Shuji Shigenobu, Shinichi Yoda, Sonoko Ohsawa, Miyuzu Suzuki

The production of overwintering eggs is a critical adaptation for winter survival among many insects. Melanization contributes to eggshell pigmentation and hardening, consequently enhancing resistance to environmental stress. The complex life cycle of the pea aphid (Acyrthosiphon pisum), a model hemipteran insect with remarkable reproductive capacity, involves cyclical parthenogenesis. It enables the production of black overwintering... Читать дальше...

Plos.org 

Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates

by Thomas Robert Newton, Wilten Nicola

Training spiking recurrent neural networks (SRNNs) presents significant challenges compared to standard recurrent neural networks (RNNs) that model neural firing rates more directly. Here, we investigate the origins of these difficulties by training networks of spiking neurons and their parameter-matched instantaneous rate-based RNNs on supervised learning tasks. We applied FORCE training to leaky integrate-and-fire spiking networks and their matched... Читать дальше...

Plos.org 

Modeling full-scale leaf venation networks

by Lars Erik J. Skjegstad, Julius B. Kirkegaard

The vascular network of leaves, comprising xylem and phloem, is a highly optimized system for the delivery of water, nutrients, and sugars. The design rules for these naturally occurring networks have been studied since the time of Leonardo da Vinci, who constructed a local rule for comparing the widths of in- and outgoing veins at branch points. Recently, physical models have been developed that seek to explain the full morphogenesis of leaf... Читать дальше...




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