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Soil disturbance from stump extraction and site preparation will initially lead to a reduction in carbon dioxide emissions from the soil. This is one result achieved from a series of new experiments established throughout Sweden and is contrasting to what was previously assumed. After one year however, this initial reduction had disappeared and emissions were around the same level for bothdisturbe
The emissions of the greenhouse gases methane and nitrous oxide wereconsistently low in relation to carbon dioxide emissions at four experimental sites.Stump harvesting did not seem to affect the emissions of methane and nitrousoxide. Soil moisture was a major factor for methane emissions – independent ofsoil treatments. These studies are the first ones in the world and should beinterpreted with c
Fires have influenced atmospheric composition and climate since the rise of vascular plants, and satellite data have shown the overall global extent of fires. Our knowledge of historic fire emissions has progressively improved over the past decades due mostly to the development of new proxies and the improvement of fire models. Currently, there is a suite of proxies including sedimentary charcoal
Aims: This analysis aimed to evaluate the incidence and predictors of the need for permanent pacemaker (PPM) implantation following implantation of the repositionable and fully retrievable LOTUS Aortic Valve Replacement System. Methods and results: The prospective, single-arm, multicentre REPRISE II study with extended cohort enrolled 250 symptomatic, high surgical risk patients with severe aortic
Electromagnetic fields exist all around us. Through evolution, nature has developed tools to interact and use these fields, where our eyes are a spectacular example. Humans have a long history of developing structures and objects of their own to alter and interact with these fields. Today they are important cornerstones in society, with radiating devices such as cell phones, Wi-Fi routers, or car
The Large Intelligent Surface (LIS) concept has emerged recently as a new paradigm for wireless communication, remote sensing and positioning. It consists of a continuous radiating surface placed relatively close to the users, which is able to communicate with users by independent transmission and reception (as a Base Station). Despite of its potential, there are a lot of challenges from an implem
We see a potential for ESS to benefit from sharing alarm data for machine learning applications, by establishing data ecosystem. To achieve these goal, ESS must make a strategic decision to pursue data sharing, establish a technical platform to share a digital twin, continue advancing the data ecosystem, and work towards a standardized reference model.
In this paper we propose a design methodology to partition dataflow applications on a multi clock domain architecture. This work shows how starting from a high level dataflow representation of a dynamic program it is possible to reduce the overall power consumption without impacting the performances. Two different approaches are illustrated, both based on the post-processing and analysis of the ca
The damping ratio is a key performance measure in systems that can be modelled as networks of masses and springs. We derive a lower bound on this quantity that applies to such networks when the masses are subject to viscous damping. The result allows the size of the damping ratio to be understood as a function of the system parameters. We use this to derive a decentralised criterion which, if sati
Macroalgae cultivation shows potential for the application as emerging feedstock for microbial fermentation to produce biochemicals. However, metal residues in macroalgae might affect the fermentation capacity of relevant microorganisms. This aspect is currently not considered when selecting macroalgae and microorganism species for microbial fermentation. To consider this aspect for selecting viab
An algorithm is said to be certifying if it outputs, together with a solution to the problem it solves, a proof that this solution is correct. We explain how state of the art maximum clique, maximum weighted clique, maximal clique enumeration and maximum common (connected) induced subgraph algorithms can be turned into certifying solvers by using pseudo-Boolean models and cutting planes proofs, an
This study is based on the analysis of field-measured nitrous oxide (N2 O) emissions from a Sahelian semi-arid grassland site in Senegal (Dahra), tropical humid agricultural plots in Kenya (Mbita region) and simulations using a 1D model designed for semi arid ecosystems in Dahra. This study aims at improving present knowledge and inventories of N2 O emissions from the African continent. N2 O emiss
Aim: This randomised controlled trial evaluated changes in parental self-efficacy and children's weight, after a Child-Centred Health Dialogue about preventing obesity. Methods: We randomly assigned 37 Child Health Centres in Skåne county Sweden to provide usual care or the dialogue intervention. They included centres from high and low socioeconomic areas. The outcomes were changes in parental sel
In platform software ecosystems, organizations partner and innovate together. Success and innovation depend on managing complex sets of business relationships and stakeholders and using a requirements-selection process. We describe the associated challenges and strategies from the study of two large proprietary platform ecosystems.
Two photoactive iron N-heterocyclic carbene complexes [FeII(btz)2(bpy)]2+ and [FeIII(btz)3]3+, where btz is 3,3’-dimethyl-1,1’-bis(p-tolyl)-4,4’-bis(1,2,3-triazol-5-ylidene) and bpy is 2,2’-bipyridine, have been investigated by Resonant Photoelectron Spectroscopy (RPES). Tuning the incident X-ray photon energy to match core-valence excitations provides a site specific probe of the electronic struc
Traditional network architecture design of Low Power Wide Area Networks (LPWAN) is incapable of dynamically scaling resources based on the served traffic and requires manual procedures for network capacity upgrades. Today's over-provisioning approach based on proprietary hardware (HW) would not be cost and energy efficient to cope with the ever-increasing scale of Internet of Things (IoT) devices
In this thesis, we draw inspiration from both classical system identification and modern machine learning in order to solve estimation problems for real-world, physical systems. The main approach to estimation and learning adopted is optimization based. Concepts such as regularization will be utilized for encoding of prior knowledge and basis-function expansions will be used to add nonlinear model
Chamber measurements of trace gas fluxes between the land surface and the atmosphere have been conducted for almost a century. Different chamber techniques, including static and dynamic, have been used with varying degrees of success in estimating greenhouse gases (CO2, CH4, N2O) fluxes. However, all of these have certain disadvantages which have either prevented them from providing an adequate es
This article is the author's trial lecture for appointment as Reader in practical theology, held on 3 November 2016. The article is based on the author's own research and practical work with funerals for more than thirty years, but also on secondary research. The article shows the interplay between micro rituals, interpretations of faith, and interpretations of life. The article briefly discusses
