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Exploring Intimacy with Artificial Intelligence : Validation of Robot Intimacy Receptivity Scale (RIRS)

Public and scientific interest in human-robot interactions is growing rapidly. As artificial intelligence (AI) becomes an integral part of human experience, there is an urgent need to understand people’s receptivity to it, especially in emotionally intimate or private spheres. Intimate receptivity goes beyond general technology attitudes, carrying potential implications for companionship, mental h

Review : Current groundwater monitoring practices in Rwanda and recommendations for enhancing knowledge of groundwater resources

Although groundwater serves as the predominant source of drinking water across many rural regions and certain urban areas of Rwanda, little is known about this resource. Anthropogenic impacts, such as faecal contamination, as well as geogenic water quality problems, including elevated arsenic, fluoride, iron, and manganese, are among the issues of concern for groundwater quality in Rwanda. Long-te

Safety and efficacy of proton pump inhibitors in preterm infants with gastroesophageal reflux disease

Background: Although physiological reflux is seen in nearly all newborns to varying degrees, symptoms can be severe and cause gastroesophageal reflux disease (GERD). In preterm infants, one symptom that is often attributed to GERD is apnea and associated cardiorespiratory events, such as bradycardia and oxygen desaturation. Although the relationship between GERD and apnea, bradycardia, and desatur

Turbulent Heat Transfer over roughness : a comprehensive review of theories and turbulent flow structure

Turbulent heat transfer over rough surfaces is crucial in natural and industrial processes, yet it has received less attention than that of momentum transfer. Recently, research in this field is rapidly growing, driven by advancements in computational methods, the role of surface roughness in meteorology, and the growing use of Additive Manufacturing technologies for energy and thermal management

A field test on the hydromechanical behaviour of flowing and nonflowing fractures in the 2.5 km COSC-1 borehole in crystalline rock, Sweden

Understanding the initiation, propagation and evolution of water injection-induced fractures is essential for geo-energy applications. Hydromechanical stimulation experiments were conducted in a deep borehole drilled into crystalline bedrock to gain insights into these processes, involving simultaneous in-situ measurements of three-dimensional fracture displacements, injection flow rates, and wate

Patterning effects of FGF17 and cAMP on generation of dopaminergic progenitors for cell replacement therapy in Parkinson’s disease

Cell replacement therapies using human pluripotent stem cell-derived ventral midbrain (VM) dopaminergic (DA) progenitors are currently in clinical trials for treatment of Parkinson’s disease (PD). Recapitulating developmental patterning cues, such as fibroblast growth factor 8 (FGF8), secreted at the midbrain-hindbrain boundary (MHB), is critical for the in vitro production of authentic VM DA prog

Artificial Neural Networks for Flood Prediction in Current and CMIP6 Climate Change Scenarios

Researchers have widely applied discharge simulation using artificial neural networks (ANNs) and have gained prominence in water resources. Morphological features, watershed urbanization, and climate change influence hydrological variables. Thus, data-driven models need to be able to identify the hydrological relationships without explicitly stating the physical processes. The main objectives of t

Hot Rocks Survey I : A possible shallow eclipse for LHS 1478 b

Context. M-dwarf systems offer an opportunity to study terrestrial exoplanetary atmospheres due to their small size and cool temperatures. However, the extreme conditions imposed by these host stars raise a question about whether their close-in rocky planets are able to retain any atmosphere at all. Aims. The Hot Rocks Survey aims to answer this question by targeting nine different M-dwarf rocky p

Enhancing Representativeness of Eddy Covariance Evapotranspiration With Remote Sensing and In Situ Data : A Case Study in the Brazilian Cerrado

The Cerrado sensu stricto, so-called wooded Cerrado, is one of the many phytophysiognomies of the undisturbed Brazilian Cerrado ecoregion holding a biodiversity hotspot towards an extensive area. Thus, such land is under constant land use and cover changes mainly due to the demand for agriculture land, sector with the highest consumption of available freshwater in this ecoregion. This underscores

CAG Repeat Expansions Increase N1-Methyladenine to Alter TDP-43 Phase Separation : Lights Up Therapeutic Intervention for Neurodegeneration

N1-methyladenine (m1A), a modification of transcripts, regulates mRNA structure and translation efficiency. In a recent issue of Nature, Sun et al. reported that m1A in CAG repeat RNA contributes to CAG repeat expansion-induced neurodegeneration in Caenorhabditis elegans and Drosophila through enhancing the ability of endogenous TDP-43 to partition into stress granules mediated by m1A. The study i

Single-distance nano-holotomography with coded apertures

High-resolution phase-contrast 3D imaging using nano-holotomography typically requires collecting multiple tomograms at varying sample-to-detector distances, usually 3 to 4. This multi-distance approach limits temporal resolution, making it impractical for operando studies. Moreover, shifting the sample complicates reconstruction, requiring precise alignment, registration, and interpolation to cor

Funding the Arts and Culture Through Tax Incentives

Tax incentives can be a policy instrument to fund the arts and culture. Such incentives must meet certain rules and principles, including, for EU Member States, EU requirements. In addition, various other aspects must be taken into account in the appreciation of tax incentives as a cultural funding instrument. This includes, on the one hand, notions of fairness, concerns about ‘philanthrocapitalis

Random sampling of ligand arrangements on a one-dimensional lattice

We introduce a transfer-matrix-based sequential sampling scheme for generating random samples of ligand arrangements on one-dimensional templates. The number of ligand types is arbitrary, the binding constants can have positional dependence, and cooperativity parameters are included. From the random arrangements, any (linear or nonlinear) observable can be calculated using sample averaging. As an

Pregestational Diabetes and Duration of Active Labour Compared With Non-Diabetic Women : A Population-Based Cohort Study

Objective: To evaluate the impact of pregestational diabetes on duration of active labour (DAL) in induced and spontaneous labour and to compare caesarean section (CS) rates and indications between women with and without diabetes. Design: A population-based cohort study. Setting: Sweden. Population: 243 537 nulliparous women, registered in the Swedish Pregnancy Register, who delivered a singleton

The evolution of lepidopteran brain morphology

Animals live in diverse environments and have evolved to cope with environmental challenges in different ways. How such adaptations shape overall brain morphology is still unclear. Here, we test how two behavioural adaptations – circadian activity pattern and migratory behaviour – are reflected in the brains of moths and butterflies (Lepidoptera). We predicted that circadian activity pattern affec

The visual system of a nocturnal long-distance migrant, the Australian Bogong moth

The Australian Bogong moth (Agrotis infusa) is a small noctuid moth that undertakes annual, nocturnal migrations of up to 1000 km to escape the summer heat of its breeding grounds. The moths travel to cool alpine caves, where they enter a dormant state (aestivation) before returning to reproduce and die. During migration, their brains integrate magnetic and visual cues to guide their flight direct

FACT : Multinomial Misalignment Classification for Point Cloud Registration

We present FACT, a method for predicting alignment quality (i.e., registration error) of registered lidar point cloud pairs. This is useful e.g. for quality assurance of large, automatically registered 3D models. FACT extracts local features from a registered pair and processes them with a point transformer-based network to predict a misalignment class. We generalize prior work that study binary a