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Your search for "the best way to get coins in fc 26 Coinsnight.com FC 26 coins 30% OFF code: FC2026. Incredible service at this great price.yPjF" yielded 98023 hits

Urban crystallization and the morphogenesis of urban territories

We develop the perspective of crystallization as a way to shed a light on the morphogenesis and stabilization of urban territories. We start by describing crystallization as a consolidation of a visible and singular order that establishes certain privileged directions of growth and breaks spatial and temporal symmetries. We then illuminate how crystallization processes unfold at different scales,

Can Potato Crop on Sandy Soil Be Safely Irrigated with Heavy Metal Polluted Water?

Heavy metal (HM) accumulation in soil and plants can occur when water contaminated with HMs is used as a source of irrigation (El-Salam Canal, Egypt). In this study, the effect of watering potato crop in sandy soil from a polluted water source under flood irrigation (FI), sprinkler irrigation (SI), and surface drip irrigation (DI) on the transport of the HMs copper (Cu), manganese (Mn), lead (Pb),

Urban Flood-Risk Assessment : Integration of Decision-Making and Machine Learning

Urban flood-risk mapping is an important tool for the mitigation of flooding in view of continuing urbanization and climate change. However, many developing countries lack sufficiently detailed data to produce reliable risk maps with existing methods. Thus, improved methods are needed that can help managers and decision makers to combine existing data with more soft semi-subjective data, such as c

Toward an Aesthetics by Algorithms—Palestinian Cyber and Digital Spaces at the Threshold of (In)visibility

This chapter explores how algorithms produce aesthetic forms and dystopian configurations across Palestinian cyber and digital spaces. Through surveillance and erasure, algorithms operate as infrastructures of (in)visibility across social media and digital maps. While serving the Israeli system of control by making Palestinian users and contents hyper-visible to surveillance, algorithms ultimately

Drivers of Long-Term Land-Use Pressure in the Merguellil Wadi, Tunisia, Using DPSIR Approach and Remote Sensing

Increasing land use pressure is a primary force for degradation of agricultural areas. The drivers for these pressures are initiated by a series of interconnected processes. This study presents a novel methodology to analyze drivers of changing land use pressure and the effects on society and landscape. The focus was on characterizing these drivers and relate them to land use statistics obtained f

An Integrated InSAR-Machine Learning Approach for Ground Deformation Rate Modeling in Arid Areas

Land subsidence is an increasing human-induced disaster that not only damages building and transportation structures but also diminishes the water storage capacity of the aquifers. Land subsidence is a very complex phenomenon impacted by various geo-environmental and hydrological factors. Application of the interferometric synthetic aperture radar (InSAR) is becoming a common approach to detect la

Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?

Water scarcity poses a major obstacle to sustainable development, and precise discharge prediction plays a vital role in enabling effective water resource management. This study investigated improved prediction techniques for nonstationary time series. The study evaluated the effect of signal processing techniques and blending approaches on the performance of deep learning models for daily dischar

Biocatalysed redox reactions - Possibilities and limitations

Popular Abstract in Swedish Enzymer har använts av människan sedan urminnes tider. Mycket tidigt lärde man sig att jäst kunde användas för att jäsa bröd och för framställning av vin och öl. Det är då just enzymerna som finns i jästsvampar som utnyttjas. I lite mera modern tid så fick enzymer ett stort användningsområde i tvättmedel på grund av deras unika förmåga att bryta ner fett och smuts vid gThe use of enzymes for synthetic applications is an area of increasing interest. Enzymes have been pointed out to be an environmentally friendly alternative to existing chemical methods, as well as making completely new synthetic routes possible. Over the last decades, much focus has been put on the enzyme group oxidoreductases, which can selectively introduce oxygen and hydrogen into molecules. T

Coprostanol adsorption behavior in agricultural soil, riverbed sediment, and sand

The occurrence of coprostanol in soil, surface, and groundwater has recently been reported in several studies. Coprostanol indicates the presence of feces from mammals. For this reason, it is important to establish adsorption behavior in different kinds of geologic media. To our knowledge, we present for the first-time adsorption behavior of coprostanol in soil, sediment, and sand and an estimatio

Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater

Nitrate pollution of groundwater has increased dramatically worldwide due to increase of population and agricultural productivity. The resulting nitrate concentration in groundwater is usually a combination of various types of point and non-point pollutant sources. It is often difficult to distinguish between these sources since groundwater is formed in large and complex catchments with various na

Influence of root distribution on preferential flow in deciduous and coniferous forest soils

Root-induced channels are the primary controlling factors for rapid movement of water and solute in forest soils. To explore the effects of root distribution on preferential flow during rainfall events, deciduous (Quercus variabilis BI.) and coniferous forest (Platycladus orientalis (L.) Franco) sites were selected to conduct dual-tracer experiments (Brilliant Blue FCF and Bromide [Br-]). Each plo

Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping

The aim of this research was to develop a method to produce a Dust Source Susceptibility Map (DSSM). For this purpose, we applied remote sensing and statistical-based machine learning algorithms for experimental dust storm studies in the Khorasan Razavi Province, in north-eastern Iran. We identified dust sources in the study area using MODIS satellite images during the 2005–2016 period. For dust s

Dietary Intakes, Patterns, and Determinants of Children Under 5 Years from Marginalized Communities in Odisha: A Cross-sectional Study

Pre-school age (3–5 years) children are vulnerable to malnutrition due to poor dietary intake, dietary habits, and socio-economic conditions. Children from marginalized families are more vulnerable than non-marginalized families due to limited access to health- and nutrition-related services, besides other socio-economic factors. This study was done to assess the dietary intakes, patterns, and det

The role of citizen science in sustainable agriculture

Farmers know much more than we think, and they are keen to improve their knowledge in order to improve their farms and increase their income. On the other hand, decision-makers, organizations, and researchers are increasing their use of citizen volunteers to strengthen their outcomes, enhance project implementation, and approach ecosystem sustainability. This paper assesses the role of citizen sci

Translocal spaces of encounters on the margins: Everyday urbanism among migrant communities in Malmö, Sweden

The paper will present preliminary findings of my ongoing PhD thesis. The thesis aims atexploring the interplay of spatial and social life of migrants in public spaces and how thisrelates to the construction of relational, multiple, flexible, multi-scalar places of belonging.The thesis investigates how migrants, through the transgression of new territories, producenew meanings between the home cou