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Species-based ecological indices, such as Ellenberg indicators, reflect plant habitat preferences and can be used to describe local environment conditions. One disadvantage of using vegetation data as a substitute for environmental data is the fact that extensive floristic sampling can usually only be carried out at a plot scale within limited geographical areas. Remotely sensed data have the pote

Carrier Sense Multiple Access (CSMA) based distributed algorithms can attain the largest capacity region asthe centralized Max-Weight policy does. Despite their capabilityof achieving throughput-optimality, these algorithms can eitherincur large delay and have large complexity or only operateover non-fading channels. In this letter, by assuming arbitraryback-off time we first propose a fully distr

It has been known that load unaware channel selection in 802.11 networks results in high level interference, and can significantly reduce the network throughput. In current implementation, the only way to determine the traffic load on a channel is to measure that channel for a certain duration of time. Therefore, in order to find the best channel with the minimum load all channels have to be measu

Dynamic Adaptive Streaming over HTTP (DASH)constitutes a large fraction of traffic in the mobile Internet.Mobile devices often use video delivery over Wi-Fi, which is asignificant energy drain. Dynamic Power Saving Mode (DPSM)is one of the most widely-used approaches for Wi-Fi devices tosave power and shorten packet delay. However, DPSM uses afixed timeout before a device goes to sleep, leading to

Forestry and nature conservation can benefit from rapid on-line information on forest disturbances, such as insect attacks. This type of information would facilitate timely field studies and enable more rapid counter measures, as well as enable studies of the dynamics of an insect outbreak. In this study we developed a method based on MODIS derived NDVI for near real-time monitoring of insect indu

Recently, IEEE 802.11ax Task Group has adapted OFDMA as a new technique for enabling multi-user transmission. It has been also decided that the scheduling duration should be same for all the users in a multi-user OFDMA so that the transmission of the users should end at the same time. In order to realize that condition, the users with insufficient data should transmit null data (i.e. padding) to f

This paper suggests an approach to solving the time-of-arrival self-calibration problem for imbalanced problems, where there is a low number of receivers but many senders. The idea is to solve several subproblems created by only using data relating to four receivers. The solutions are then clustered according to a proposed metric in order to remove failed reconstructions. They are then combined in

A naturalistic view should make us appreciate the rich possibilities of nature. This naturalistic point of departure, as formulated by Willem B. Drees, invites reflection on the relationship between nature and spirituality. Today, the concept of sustainability occupies a key role in what has come to be the greatest challenge ever that humankind has faced together at the same moment in history. Usu

In the following study, using highly-developed remote sensing methodologies, a historical over-ten-year study of the LULC phenomenon of the Khorezm Oasis was conducted. The analysis provides valuable insights about agricultural change, water management policies and the alteration of LULC in the region, including several processes, changes in plants and irrigation levels, population density and gro

The physical layer foundations of cell-free massive MIMO (CF-mMIMO) have been well-established. As a next step, researchers are investigating practical and energy-efficient network implementations. This paper focuses on multiple sets of access points (APs) where user equipments (UEs) are served in each set, termed a federation, without inter-federation interference. The combination of federations

Scholarship in peace and conflict studies is paying increasing attention to the role of the environment for conflict transformation and peacebuilding. However, a closer analysis on how different understandings of “nature” implicate policy proposals and approaches to peacebuilding is lacking. In this study, we provide a critical reflection on the diverse understandings and valuations of nature at t

Childhood stunting is a serious global public health issue that exhibits local spatial variations. Previous studies have used traditional statistical methods to identify stunting risk factors, and little is known about the application and usefulness of spatial machine learning techniques in identifying localized stunting risk factors based on complex datasets. This study assesses the performance o

Environmental changes over time and across different regions profoundly affect agriculture, forestry, water management, public health, and ecosystems. Therefore, monitoring these fluctuations is crucial for informing decision-making and developing strategies for long-term sustainability. While ground-based methods provide valuable insights into environmental dynamics, they are inherently limited i

Elisabeth Melander - SångHåkan Rydin - PianoLars Danielsson - BasTerje Sundby - Trummor & slagverkGöran Klinghagen - GitarrAnders Bergcrantz - TrumpetInge Petersson - Tenorsax"En av Sveriges stora jazzröster är tillbaka tillsammans med några av landets främsta musiker. En själfull röst, värme och känsla präglar mixen av egna kompositioner och spännande tolkningar av såväl Chick Corea, Miles Da

Accurate prediction of spatial yield variations within individual fields is crucial for precision agriculture, as it enables optimized resource allocation and targeted crop management. In this study, we propose a novel framework that leverages remote sensing data and Graph Attention Networks (GATv2) to predict fine-scale yield variations for winter wheat at a high resolution (10 m × 10 m). The obj

In this study we introduce a novel extension of an existing Lagrangian particle dispersion model for application over urban areas by explicitly taking into account the urban canopy layer. As commonly done, the original model uses the zero-plane displacement as a lower boundary condition, while the extension reaches to the ground. To achieve this, spatially-averaged parametrizations of flow and tur

Now more than ever, optimizing resource allocation in cloud computing is becoming more critical due to the growth of cloud computing consumers and meeting the computing demands of modern technology. Cloud infrastructures typically consist of heterogeneous servers, hosting multiple virtual machines with potentially different specifications, and volatile resource usage. This makes the resource alloc

We present a novel, global 30 arc seconds (∼1 km at the equator) population projection dataset covering each year from 2010 to 2100 that is consistent with both country level population and gridded urban fractions from the Coupled Model Intercomparison Project 6 (CMIP6). While IPCC population projections until 2100 are available at country level for Socio-Economic Pathways (SSPs), land cover (incl

In recent years, because the cloud can provide huge advantages regarding storage and computing resources, industry has been motivated to move industrial control systems to the cloud. However, the cloud also introduces major security challenges, since moving control systems to the cloud can enable attackers to infiltrate the system and establish an attack that can lead to damages and disruptions wi