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Cloud Droplet Activation of Amino Acid Aerosol Particles.

In this work we investigated the ability of a series of amino acids to act as cloud condensation nuclei using a static thermal gradient diffusion type cloud condensation nucleus counter. Particles of pure dry l-glycine, glycyl-glycine, l-serine, l-methionine, l-glutamic acid, l-aspartic acid, and l-tyrosine were studied as well as internally mixed dry particles containing ammonium sulfate and one

Caribbean hydrological variability during the Holocene as reconstructed from crater lakes on the island of Grenada

Contemporary precipitation patterns in the Caribbean region are spatially variable, and the small number of Holocene paleoclimatic records may not adequately capture patterns of variation in the past. The hydrological history of Grenada was inferred from paleolimnological analyses of sediment cores from two crater lakes on the island. The basins were formed by volcanic activity some time during th

Dynamic early Holocene vegetation development on the Faroe Islands inferred from high-resolution plant macrofossil and pollen data

Vegetation dynamics during the earliest part of the Holocene (11,250-10,250 cal yr BP) have been reconstructed from a lacustrine sequence on Sandoy, the Faroe Islands, using detailed plant macrofossil and pollen evidence. The plant macrofossils suggest the initial vegetation was sparse herb and shrub tundra, with Salix herbacea and open-ground species, followed by the development of a denser and m

Rainforest Aerosols as Biogenic Nuclei of Clouds and Precipitation in the Amazon

The Amazon is one of the few continental regions where atmospheric aerosol particles and their effects on climate are not dominated by anthropogenic sources. During the wet season, the ambient conditions approach those of the pristine pre-industrial era. We show that the fine submicrometer particles accounting for most cloud condensation nuclei are predominantly composed of secondary organic mater

Late Quaternary glaciation history of Isla de los Estados, southeasternmost South America

Isla de los Estados is a mountainous island southeast of Tierra del Fuego, in southernmost South America. Its central and eastern parts have an alpine topography, transected by U-shaped valleys, small, partly over-deepened fjords, and a multitude of abandoned cirques, all associated with extensive former local glaciations. Traces of glacial erosion generally reach 400-450 m a.s.l., and above that

Signals of tree volume and temperature in a high-resolution record of pollen accumulation rates in northern Finland

Pollen accumulation rates (PARs) provide a potential proxy for quantitative tree volume (m3 ha-1) reconstruction with reliable absolute pollen productivity estimates (APPEs). We obtained APPEs for pine, spruce and birch at their range limits in northern Finland under two temperature periods (warm and cold) based on long-term pollen trap and tree volume records within a 14-km radius of each trap. A

Validering av en handledsburen aktivitetsmätare och en självskattningskala för beräkning av VO2max

Titel: Validering av en handledsburen aktivitetsmätare och en självskattningskala för beräkning av VO2max. Bakgrund: Fysisk aktivitet och god aerob kapacitet är kopplat till god hälsa och lägre risk för livsstilsrelaterade sjukdomar. I dagsläget anses maximalt arbetsprov med ergospirometri och gasanalys för bestämning av VO2max (VO2max-test) vara det mest exakta sättet att mäta aerob kapacitet. Su

A traffic density model for radio overlapping in urban Vehicular Ad hoc Networks

Vehicular traffic density is a key factor in determining the behaviour of radio overlapping and thus impacts performance of data and safety message communication in Vehicular Ad hoc Networks (VANETs). In this paper, we propose a novel density model for urban traffic systems and employ this model for the purpose of spatial-temporal analysis of radio overlapping. To model traffic density, we conside

Case Study on Risk Analysis for Critical Systems with Reliability Block Diagrams

This paper presents a practical risk analysis method for critical, large-scale IT systems in an organisation. The method is based on reliability block diagram modelling and was adapted to fit the requirements of governmental organisations and to reduce the effort required to capture complex failure behaviour. Through the use of different failure categories the risk analysis can be simplified, the

Quasi-Cyclic Asymptotically Regular LDPC Codes

Families of asymptotically regular LDPC block code ensembles can be formed by terminating (J, K)-regular protograph-based LDPC convolutional codes. By varying the termination length, we obtain a large selection of LDPC block code ensembles with varying code rates, minimum distance that grows linearly with block length, and capacity approaching iterative decoding thresholds, despite the fact that t

Density Evolution Analysis of Protograph-Based Braided Block Codes on the Erasure Channel

A threshold analysis of terminated braided block codes (BBCs) is presented for the binary erasure channel. Protograph based BBCs (PG-BBCs) are considered, which can be derived by lifting the Tanner graph of a tightly braided block code. They can be interpreted as GLDPC convolutional codes that are structured in a particular way. It is shown that the terminated PG-BBCs have better thresholds than t

Reduced Complexity Window Decoding Schedules for Coupled LDPC Codes

Window decoding schedules are very attractive for message passing decoding of spatially coupled LDPC codes. They take advantage of the inherent convolutional code structure and allow continuous transmission with low decoding latency and complexity. In this paper we show that the decoding complexity can be further reduced if suitable message passing schedules are applied within the decoding window.

Performance Study of Non-Binary Belief Propagation for Decoding Reed-Solomon Codes

In this paper we investigate the frame-error correcting performance of two newly developed, non-binary belief propagation based, soft-in/soft-out decoding algorithms when decoding Reed-Solomon codes. We present results for the AWGN channel indicating that non-binary belief propagation can come close to the performance of the binary adaptive Belief-Propagation algorithm or even slightly better when

MPSG: a generic context management framework in mobile spaces

Recent advances of body networks enable the acquisition of personal context from various kinds of body sensors. As a result, how to build a platform to properly manage personal context becomes a problem. In order to address this issue, we design and implement a mobile physical space gateway (MPSG) which is a generic context management framework in mobile spaces. This framework includes three layer

Software code generation for dynamic dataflow programs

In this paper we address the problem of generating efficient software implementations for a large class of dataflow programs that is characterized by highly data-dependent behavior and which is therefore in general not amenable to compile-time scheduling. Previous work on implementing dataflow programs has emphasized classes of stream processing algorithms that exhibit sufficiently regular behavio

Integrating Multiple Controllers to Balance Competing Performance Objectives: Application to Blood Glucose Management

This paper develops a control integration methodology that can be used to balance competing performance objectives. The target application for the method is blood glucose management for diabetic patients. The true system model is uncertain and changes over time. Multiple controllers have been designed with competing performance objectives in mind. In the proposed method, on-line predictors are use

Blåtand och Service Management – en fallstudie om lojalitet genom service från produkttillverkare till återförsäljare

Upprinnelsen till denna fallstudie är berättelsen om en konsument som efter lång tids övervägande bestämt sig för att inhandla en mobiltelefon av ett specifikt varumärke. Efter att ha besökt butiken, där han övertalats av en säljare, finner han sig vara nybliven ägare av en helt annan mobiltelefon och ett annat varumärke än vad han ursprungligen önskade. Säljaren påverkade konsumenten att köpa en

ASaP : Automatic Software Prefetching for Sparse Tensor Computations in MLIR

Sparse tensor computations suffer from irregular memory access patterns that degrade cache performance. While software prefetching can mitigate this, existing compiler approaches lack the semantic insight needed for effective optimization. We present ASaP, an automatic software prefetching framework integrated within MLIR’s sparse tensor dialect. By leveraging semantic information-tensor formats a