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Impact of religion on understanding the world: development of tense and modality

This paper analyses an impact of religious practice on the development of the tense system, in particular the future tense. There have been rich typological studies on the tense, which reveal that a basic tense distinction is either past vs. non-past or past vs. present vs. future in most languages. From evolutionary/historical perspectives, the former case is older than the latter one, i.e. the f

Living Alone in Alzheimer’s Disease—The Influence of Functional Impairment.

Background: A large number of individuals with Alzheimer’s disease (AD) live alone and receive little or no help from family members, which implies an additional pressure on the increasing societal costs of dementia care. Their adult children, if any, might have very limited ability to assist by providing informal help because of social structural changes, such as full-time work for most women and

Storylines of summer Arctic climate change constrained by Barents-Kara seas and Arctic tropospheric warming for climate risk assessment

While climate models broadly agree on the changes expected to occur over the Arctic with global warming on a pan-Arctic scale (i.e. polar amplification, sea ice loss, and increased precipitation), the magnitude and patterns of these changes at regional and local scales remain uncertain. This limits the usability of climate model projections for risk assessments and their impact on human activities

LOCALLY CONSERVATIVE AND FLUX CONSISTENT ITERATIVE METHODS

Conservation and consistency are fundamental properties of discretizations of conservation laws, necessary to ensure physically meaningful solutions. In the context of systems of nonlinear hyperbolic conservation laws, conservation and consistency additionally play an important role in convergence theory via the Lax-Wendroff theorem. Here, these concepts are extended to the realm of iterative meth

Cybersecurity Education in Universities : A Comprehensive Guide to Curriculum Development

The widespread deployment of digital technologies has made the globe an interconnected world. Among other necessities of the digitalized world, cybersecurity is a crucial component. Therefore, education and proper training of the cybersecurity workforce are essential for building a strong national and global community. However, a significant shortage of proficient cybersecurity experts is reported

Secondary Ice Production - current state of the science and recommendations for the future

Measured ice crystal concentrations in natural clouds at modest supercooling (temperature ~>−10°C) are often orders of magnitude greater than the number concentration of primary ice nucleating particles. Therefore, it has long been proposed that a secondary ice production process must exist that is able to rapidly enhance the number concentration of the ice population following initial primary ice

Sensitivity of Arctic Clouds to Ice Microphysical Processes in the NorESM2 Climate Model

Ice formation remains one of the most poorly represented microphysical processes in climate models. While primary ice production (PIP) parameterizations are known to have a large influence on the modeled cloud properties, the representation of secondary ice production (SIP) is incomplete and its corresponding impact is therefore largely unquantified. Furthermore, ice aggregation is another importa

Convergence Properties of Iteratively Coupled Surface-Subsurface Models

Surface-subsurface flow models for hydrological applications solve a coupled multiphysics problem. This usually consists of some form of the Richards and shallow water equations. A typical setup couples these two nonlinear partial differential equations in a partitioned approach via boundary conditions. Full interaction between the subsolvers is ensured by an iterative coupling procedure. This can

Chironomidae-based inference model for mean July air temperature reconstructions in the eastern Baltic area

Here we present a new eastern Baltic Chironomidae training set (TS) containing 35 sites that was collected and merged with neighbouring published Finnish (82 lakes) and northern part of the Polish (nine lakes) TSs. Chironomidae, non-biting midges, are known to be strongly responsive to the July air temperature and are widely used to infer palaeotemperature. Several modern analogue-based TSs necess

Convergence properties of iteratively coupled surface-subsurface models

Surface-subsurface flow models for hydrological applications solve a coupled multiphysics problem. This usually consists of some form of the Richards and shallow water equations. A typical setup couples these two nonlinear partial differential equations in a partitioned approach via boundary conditions. Full interaction between the subsolvers is ensured by an iterative coupling procedure. This can

Quantifying Coupling Errors in Atmosphere-Ocean-Sea Ice Models : A Study of Iterative and Non-Iterative Approaches in the EC-Earth AOSCM

The atmosphere, ocean, and sea ice components in Earth system models are coupled via boundary conditions at the sea surface. Standard coupling algorithms correspond to the first step of an iteration, so-called Schwarz waveform relaxation. Not iterating is computationally cheap but introduces a numerical coupling error, which we aim to quantify for the case of a coupled single column model: the EC-

Impact of INSAT-3D land surface temperature assimilation via simplified extended Kalman filter-based land data assimilation system on forecasting of surface fields over India

The land surface temperature (LT) is a crucial variable that governs the energy and radiation budget of the earth's atmosphere and influences land-atmosphere interactions. The LT plays a crucial role mainly in the short-range forecast of a numerical weather prediction (NWP) model. The primary research goal in this research work undertaken is to assess the impact of assimilation of LT data from the

Deep network for the integrated 3D sensing of multiple people in natural images

We present MubyNet - a feed-forward, multitask, bottom up system for the integrated localization, as well as 3d pose and shape estimation, of multiple people in monocular images. The challenge is the formal modeling of the problem that intrinsically requires discrete and continuous computation, e.g. grouping people vs. predicting 3d pose. The model identifies human body structures (joints and limb