Multi-temporal Remote Sensing Land-cover Change Detection for Biodiversity Assessment in the Berg River Catchment

Due to the intimate relationship that exists between land cover and biodiversity it is possible to draw inferences on the current state of the biodiversity of an area, assess the likely future pressures and plan accordingly based on an analysis of land-cover change. As a means of assessing the state of biodiversity in the Cape Floristic Region, two land-cover maps (1986/7 and 2007) were developed and demonstrated for the Berg River catchment in the Western Cape province of South Africa using multispectral Landsat Thematic Mapper (TM) data. The land-cover maps were produced to an accuracy of 85% using an object-orientated nearest neighbour supervised classification. The existing vegetation types of South Africa data set were superimposed on the newly classified remnants of natural vegetation to model changes in biodiversity. It was found that the area occupied by natural vegetation increased by more than 14%, suggesting an increase in biodiversity from 1986/7 to 2007. Considerable variation between vegetation types was, however, recorded. The land cover mapping, change analysis and biodiversity modelling methods employed by this study show that land-cover change analysis provides an ideal platform from which to initiate more intensive analyses of biodiversity change and conservation. Some limitations to the use of Landsat imagery for biodiversity monitoring are discussed

Powerline Communication System-on-Chip in 180 nm Harsh Environment SOI Technology

Broadband powerline communication systems using Orthogonal Frequency Division Multiplexing (OFDM) can utilize existing power lines to transmit data packets alongside power distribution. Recent standards focus towards high speed multi-media in-house streaming. With improvements towards robustness and throughput new standards increase the speed and reliability of in-house powerline systems. A very different approach is the use of powerline communication systems in a deep drilling environment where temperatures of more than 150°C and pressure levels up to 30 000 psi are present. Typical applications in this environment usually do not require more than several kbit/ys per node and are more reliant on a stable and continuous connection. Here, a powerline communication system can reduce the amount of wiring needed and increase communication robustness significantly. This work provides a harsh environment suitable, reliable and standard compliant communication ASIC that is manufactured in XFAB 180 nm Silicon-On-Insulator (SOI) technology allowing operating temperatures of up to 175°C. The die size is 5.25 mm x 5.25 mm and contains a complete Homeplug 1.0 communication stack with an environment for boot, interfacing and debugging. The data rate is as high as 6.1 Mbit/s using the fastest transmission mode and reaches the theoretical maximum of 0.55 Mbit/s in the robust OFDM (ROBO) mode which is of particular interest for harsh environment applications. To the best of the authors knowledge, this is the first OFDM-based powerline communication ASIC which is particularly designed for harsh environment.© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

DFTB+, a software package for efficient approximate density functional theory based atomistic simulations

DFTB+ is a versatile community developed open source software package offering fast and efficient methods for carrying out atomistic quantum mechanical simulations. By implementing various methods approximating density functional theory (DFT), such as the density functional based tight binding (DFTB) and the extended tight binding method, it enables simulations of large systems and long timescales with reasonable accuracy while being considerably faster for typical simulations than the respective ab initio methods. Based on the DFTB framework, it additionally offers approximated versions of various DFT extensions including hybrid functionals, time dependent formalism for treating excited systems, electron transport using non-equilibrium Green's functions, and many more. DFTB+ can be used as a user-friendly standalone application in addition to being embedded into other software packages as a library or acting as a calculation-server accessed by socket communication. We give an overview of the recently developed capabilities of the DFTB+ code, demonstrating with a few use case examples, discuss the strengths and weaknesses of the various features, and also discuss on-going developments and possible future perspectives

Earth observation for sustainable urban planning in developing countries: needs, trends, and future directions

Abstract: Cities are constantly changing and authorities face immense challenges in obtaining accurate and timely data to effectively manage urban areas. This is particularly problematic in the developing world where municipal records are often unavailable or not updated. Spaceborne earth observation (EO) has great potential for providing up-to-date spatial information about urban areas. This article reviews the application of EO for supporting urban planning. In particular, the article overviews case studies where EO was used to derive products and indicators required by urban planners. The review concludes that EO has sufficiently matured in recent years but that a shift from the current focus on purely science-driven EO applications to the provision of useful information for day-to-day decision-making and urban sustainability monitoring is clearly needed

Pattern Recognition and Event Reconstruction in Particle Physics Experiments

This report reviews methods of pattern recognition and event reconstruction used in modern high energy physics experiments. After a brief introduction into general concepts of particle detectors and statistical evaluation, different approaches in global and local methods of track pattern recognition are reviewed with their typical strengths and shortcomings. The emphasis is then moved to methods which estimate the particle properties from the signals which pattern recognition has associated. Finally, the global reconstruction of the event is briefly addressed.Comment: 101 pages, 58 figure

A historical overview of the classification, evolution, and dispersion of Leishmania parasites and sandflies

Background The aim of this study is to describe the major evolutionary historical events among Leishmania, sandflies, and the associated animal reservoirs in detail, in accordance with the geographical evolution of the Earth, which has not been previously discussed on a large scale. Methodology and Principal Findings Leishmania and sandfly classification has always been a controversial matter, and the increasing number of species currently described further complicates this issue. Despite several hypotheses on the origin, evolution, and distribution of Leishmania and sandflies in the Old and New World, no consistent agreement exists regarding dissemination of the actors that play roles in leishmaniasis. For this purpose, we present here three centuries of research on sandflies and Leishmania descriptions, as well as a complete description of Leishmania and sandfly fossils and the emergence date of each Leishmania and sandfly group during different geographical periods, from 550 million years ago until now. We discuss critically the different approaches that were used for Leishmana and sandfly classification and their synonymies, proposing an updated classification for each species of Leishmania and sandfly. We update information on the current distribution and dispersion of different species of Leishmania (53), sandflies (more than 800 at genus or subgenus level), and animal reservoirs in each of the following geographical ecozones: Palearctic, Nearctic, Neotropic, Afrotropical, Oriental, Malagasy, and Australian. We propose an updated list of the potential and proven sandfly vectors for each Leishmania species in the Old and New World. Finally, we address a classical question about digenetic Leishmania evolution: which was the first host, a vertebrate or an invertebrate? Conclusions and Significance We propose an updated view of events that have played important roles in the geographical dispersion of sandflies, in relation to both the Leishmania species they transmit and the animal reservoirs of the parasites

Cross-modal predictive processing depends on context rather than local contingencies

Visual symbols or events may provide predictive information on to-be-expected sound events. When the perceived sound does not confirm the visual prediction, the incongruency response (IR), a prediction error signal of the event-related brain potentials, is elicited. It is unclear whether predictions are derived from lower-level local contingencies (e.g., recent events or repetitions) or from higher-level global rules applied top-down. In a recent study, sound pitch was predicted by a preceding note symbol. IR elicitation was confined to the condition where one of two sounds was presented more frequently and was not present with equal probability of both sounds. These findings suggest that local repetitions support predictive cross-modal processing. On the other hand, IR has also been observed with equal stimulus probabilities, where visual patterns predicted the upcoming sound sequence. This suggests the application of global rules. Here, we investigated the influence of stimulus repetition on the elicitation of the IR by presenting identical trial trains of a particular visual note symbol cueing a particular sound resulting either in a congruent or an incongruent pair. Trains of four different lengths: 1, 2, 4, or 7 were presented. The IR was observed already after a single presentation of a congruent visual-cue-sound combination and did not change in amplitude as trial train length increased. We conclude that higher-level associations applied in a top-down manner are involved in elicitation of the prediction error signal reflected by the IR, independent from local contingencies