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Corroborating Testimony, Probability and Surprise
Corroborating Testimony and Ignorance: A Reply to Bovens, Fitelson, Hartmann and Snyder
Estimating the Wigner Distribution of Linear Time-Invariant Dynamical Systems
Exploring the Animal Turn: Human-animal relations in Science, Society and Culture
Investigating the impact of tropical deforestation on Indian monsoon hydro-climate: a novel study using a regional climate model
This study uses a state-of-the-art regional climate model (RCM) to examine how tropical deforestation affects the meteorology of the Indian Summer Monsoon (ISM). Incorporating insights from existing research on deforestation by climate scientists, alongside evidence of environmental deterioration in semi-arid, hilly and tropical regions of Southeast Asia, this research seeks to elucidate the criti
Eating the Gospel : Food for Thought in Romanos the Melodist
Embedded eigenvalues for asymptotically periodic ODE systems
We investigate the persistance of embedded eigenvalues under perturbations of a certain self-adjoint Schrödinger-type differential operator in L2(R; Rn), with an asymptotically periodic potential. The studied perturbations are small and belong to a certain Banach space with a specified decay rate, in particular, a weighted space of continuous matrix valued functions. Our main result is that the se
David Hume
This entry is intended to provide the reader with an overview of the central themes and arguments found in David Hume's (1711–1776) contributions to the philosophy of religion. The topics covered include the argument from design and the cosmological argument; the problem of evil; miracles and revealed religion; the natural history of religion; and Hume's philosophy of irreligion and atheism.
Empirical formulation for multiple groups of primary biological ice nucleating particles from field observations over Amazonia
To resolve the various types of biological ice nuclei (IN) with atmospheric models, an extension of the empirical parameterization (EP) is proposed to predict the active IN from multiple groups of primary biological aerosol particles (PBAPs). Our approach is to utilize coincident observations of PBAP sizes, concentrations, biological composition, and ice nucleating ability. The parameterization or
A Data Driven Approach for Resolving Time-dependent Differential Equations with Noise
We propose data-driven surrogate models to solve systems of time-dependent differential equations coupled with noise. Using a feedforward neural network, we separately learn the noise and solution, tackling approximations across regimes with bifurcations and rare events. Focusing on irregular data generated by a stochastic noise model on a one-dimensional spatial lattice coupled to a differential
Locus of control and breathlessness : a cross-sectional analysis of 28 730 people
Background Long-term pathological breathlessness is a life-limiting symptom that risks taking control of the individual’s life. We aimed to evaluate how locus of control (LOC), an individual’s perceived control of present and past life events, relates to breathlessness in a middle-aged general population. Methods A population-based, cross-sectional analysis of people aged 50–64 years was conducted
Assessment of elevated road traffic pollution on roadside trees and vegetation in urban environments
Road traffic pollution is one of the most important factors among other environmental factors that influence the roadside vegetation. The present research examines the impact of motorway flyovers and at-grade roads on air pollution (PM10, SOx, NOx, and air quality index (AQI)) and roadside vegetation in Dehradun by considering the important biochemical parameters such as chlorophyll, ascorbic acid
Mitigating dye and organic pollutant-driven surface water pollution using ZnO nanoparticles : a sustainable strategy for climate resilience
Surface water pollution consists of various pollutants like heavy metals (Cu, Cr, Pb, and Ni), metalloids (Se, As, and Ag), and organic pollutants (dyes, antibiotics, pharmaceuticals, pesticides, and phenolic compounds). The escalating issue of water pollution requires innovative solutions for mitigation and climate resilience. Although various advanced techniques are being developed for removing
Immigrant integration in Austria and Sweden. : A patchwork of multilevel governance and fragmented responsibilities
Environment of European Last Mammoths : Reconstructing the Landcover of the Eastern Baltic Area at the Pleistocene/Holocene Transition
The Eastern Baltic area stands out as a unique location due to the finds of Europe’s youngest dated mammoth remains (12.6–11.2 ka cal BP). Our study explores the drastic climate and landcover changes during the extinction of these gigantic herbivores at the Pleistocene/Holocene boundary. We used macrofossil analysis to determine the major contemporary terrestrial plant genera present in the area a
Flowrider: Fast On-Demand Key Provisioning for Cloud Networks
Increasingly fine-grained cloud billing creates incentives to review the software execution footprint in virtual environments. For example, virtual execution environments move towards lower overhead: from virtual machines to containers, unikernels, and serverless cloud computing. However, the execution footprint of security components in virtualized environments has either remained the same or eve
Unconventional sources of error in high-resolution wide-swath SAR systems based on scan-on-receive
The scan-on-receive (SCORE) is a key digital beamforming (DBF) technique for future high-resolution wide-swath synthetic aperture radar (SAR) systems. A sharp and high gain receive beam, steered in real time towards the expected direction of arrival (DoA) of the backscattering signal, allows for improved SAR imaging performance with respect to a conventional approach. Nevertheless, it also exposes
Energy-Efficient Application-Specific Instruction-Set Processor for Feature Extraction in Smart Vision Systems
Smart vision sensor systems enable many computer vision applications such as autonomous drones and wearable devices. These battery-powered gadgets have very stringent power consumption requirements. Close-to-sensor feature extraction compressing the full image into descriptive keypoints, is crucial as it allows for several design optimizations. First, the amount of necessary on-chip memory can be
Healthcare utilization for somatic conditions among Swedish patients in opioid substitution treatment, with and without on-site primary healthcare
Background: Opioid substitution treatment (OST) populations are aging and have increased mortality and somatic morbidity compared to general populations internationally. While OST patients have poor self-rated physical health and unmet healthcare needs, documented healthcare utilization has been sparsely investigated. The aim of this study was to assess registered healthcare utilization for somati
