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Intrinsically stretchable fully π-conjugated polymers with inter-aggregate capillary interaction for deep-blue flexible inkjet-printed light-emitting diodes
Understanding displacement of onboard contingents in Navy amphibious ships
The Naval Ship Code (NSC) was enacted in 2009 to standardize regulations for NATO member naval forces, and a study commissioned by the Spanish Navy General Staff (EMA) aimed to identify the factors that influence onboard personnel’s ability to move during an evacuation process. This study validated the soundness of the safety protocols implemented on navy vessels and highlighted the impact of certain characteristics of the embarked military contingent, such as body mass index, age, and seniority. It also found that such characteristics could act as distinctive factors among the embarked contingents in the evacuation of a military vessel. The study quantified the effect of these intervening characteristics, confirming the need for different displacement models for each of the study contingents to improve ship evacuation maneuvers. The findings of this study provide insights into the behavior of different embarked contingents during the evacuation process and can inform the development of more effective safety protocols for military naval operations. The starting hypothesis is that certain characteristics of the embarked military contingent have a decisive influence on their displacement capacity during the evacuation process. This hypothesis has been expanded in the sense that these same characteristics can act as differentiating elements among the embarked contingents evacuating a military vessel. It is possible to quantify the influence of these characteristics and implement a displacement model applicable in escape, evacuation, and rescue processes. Thus, the specific characteristics of a study contingent will be reflected in its displacement model. In this article we find that while members of the landing force (LF) show greater displacement capacity through a longitudinal corridor (around 10%), their ability to overcome other passage elements present on the study vessel is reduced (around 30%) compared to members of the vessel’s own crew.
RETRACTED ARTICLE: Forest pest monitoring and early warning using UAV remote sensing and computer vision techniques
Rapid detection of the invasive tomato leaf miner, Phthorimaea absoluta using simple template LAMP assay
Wavelength-dependent DNA damage induced by single wavelengths of UV-C radiation (215 to 255 nm) in a human cornea model
Bioinspired concise synthesis of caged Sesquiterpenoids Artatrovirenols A and B
ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning
The forces behind social unrest: Evidence from the Covid-19 pandemic
The unprecedented consequences of the Covid-19 pandemic have raised concerns about the erosion of social cohesion and intensified social unrest, but evidence for such a link and the underlying channels is still lacking. We use a unique combination of nationally representative survey data, event data on social unrest, and data on Covid-19 fatalities and unemployment at a weekly resolution to investigate the forces behind social cohesion and unrest in the context of the strains on public health and the economy due to the pandemic in the USA. The results show that pandemic-related unemployment and Covid-19 fatalities intensified negative emotional stress and led to a deterioration of economic confidence among individuals. The prevalence of negative emotional stress, particularly in economically strained and politically polarized environments, was, in turn, associated with intensified social unrest as measured by political protests. No such link is found for economic perceptions.
Lower vicine content reduces the reproductive yield performance in faba bean (Vicia faba L.)
Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes
An improved adaptive variable neighborhood search algorithm for stochastic order allocation problem
Infrared nanosensors of piconewton to micronewton forces
Compositionally-graded ferroelectric thin films by solution epitaxy produce excellent dielectric stability
H3K56 acetylation regulates chromatin maturation following DNA replication
Correction: The final plague outbreak in Scotland 1644–1649: Historical, archaeological, and genetic evidence
Beam steering by two vertically faced metasurfaces using polarization free unit cells with three operating modes
Mechanistic modelling of allergen-induced airways disease in early life
AbstractAsthma affects approximately 300 million individuals worldwide and the onset predominantly arises in childhood. Children are exposed to multiple environmental irritants, such as viruses and allergens, that are common triggers for asthma onset, whilst their immune systems are developing in early life. Understanding the impact of allergen exposures on the developing immune system and resulting alterations in lung function in early life will help prevent the onset and progression of allergic asthma in children. In this study, we developed an in silico model describing the pulmonary immune response to a common allergen, house dust mite, to investigate its downstream impact on the pathophysiology of asthma, including airway eosinophilic inflammation, remodelling, and lung function. We hypothesised that altered epithelial function following allergen exposure determines the onset of airway remodelling and abnormal lung function, which are irreversible with current asthma therapies. We calibrated the in silico model using age appropriate in vivo data from neonatal and adult mice. We validated the in silico model using in vivo data from mice on the effects of current treatment strategies. The in silico model recapitulates experimental observations and provides an interpretable in silico tool to assess airway pathology and the underlying immune responses upon allergen exposure. The in silico model simulations predict the extent of bronchial epithelial barrier damage observed when allergen sensitisation occurs and demonstrate that epithelial barrier damage and impaired immune maturation are critical determinants of reduced lung function and asthma development. The in silico model demonstrates that both epithelial barrier repair and immune maturation are potential targets for therapeutic intervention to achieve successful asthma prevention.
Effect of gabapentin on solution surface properties and micellization behavior of betaine-based surfactant ionic liquids
AbstractThis study investigates the surface properties, micellization, and electrical conductivity of betaine-based ionic liquids (ILs) composed of [R-bet][Br] where R represents the C4, C6 and C8 (specifically [C4bet][Br], [C6bet][Br], and [C8bet][Br]) in aqueous gabapentin solutions at concentrations of (0.0000, 0.0100, 0.0300, and 0.0500) mol kg−1 at 298.15 K. The surface tension measurements revealed that increasing gabapentin concentration and alkyl chain length decrease surface tension, indicating significant hydrophobic and hydrophilic interactions. The related thermophysical micellization parameters, including critical micelle concentration (CMC) and minimum surface area per molecule (Amin), exhibited improved micellization and interfacial efficiency with longer alkyl chains. Thermodynamic analysis confirm the spontaneous nature of micelle formation, with more negative Gibbs free energy values for SAILs with longer alkyl chains. The electrical conductivity studies indicate lower limiting molar conductivity (Λ0) at higher gabapentin concentrations, due to increased viscosity and ion-ion interactions. Ion association constants (KA) and DFT-COSMO calculations support stronger hydrophobic interactions and molecular packing influenced by alkyl chain length and gabapentin.