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Aktuella frågor ”Risken för rasprofilering är betydande med angiverilagen.”

Kritiken som har riktats mot regeringens angiverilag är högst befogad – förslaget innebär i praktiken att offentliganställda görs till gränspoliser, menar fyra forskare från universitet och högskolor i Lund, Malmö och Stockholm.En samförfattad debattartikel inom forskningsprojektet HUMASP, av Christina Johnsson, lektor i offentlig rätt och mänskliga rättigheter vid Malmö universitet. Jacob Lind, l

Intelligence penetration, counterintelligence, and the Iran–Israel covert struggle

The Israel – Iran intelligence contest exemplifies hybrid conflict conducted below the threshold of open war. This study examines Israel’s penetration of Iran’s intelligence and security apparatus and the Islamic Republic’s counterintelligence (CI) response using open-source material within a dual-lens framework. Lens 1 traces Israeli operations from early assassinations and cyber sabotage to the

Analys av geografiska data

I detta kapitel i boken Geografisk information Behandling beskrivs och behandlas metoder för hur geografisk data analyseras. Kapitlet omfattar såväl geografisk teori som exempel på tillämpningar. Geografisk informationsbehandling baseras på insamling, lagring, analys och visualisering av geografiska data, vilket också är bokens struktur. Denna åttonde upplaga av boken har uppdaterats med aktuella

Classifying urban land use by integrating remote sensing and social media data

Urban land use information plays an important role in urban management, government policy-making, and population activity monitoring. However, the accurate classification of urban functional zones is challenging due to the complexity of urban systems. Many studies have focused on urban land use classification by considering features that are extracted from either high spatial resolution (HSR) remo

Estimating the effects of “community opening” policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network analyses

According to an urban planning directive issued by the Chinese Central Government in early 2016, the Community Opening Policy will be put on the agenda to ameliorate transportation networks, which has aroused much attention regarding the coming changes in traffic, especially in road network structures. Nevertheless, few studies were concerned with the direct and indirect impacts of opening gated c

Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques

Along with the gradually accelerated urbanization process, simulating and predicting the future pattern of the city is of great importance to the prediction and prevention of some environmental, economic and urban issues. Previous studies have generally integrated traditional machine learning with cellular automaton (CA) models to simulate urban development. Nevertheless, difficulties still exist

Mapping fine-scale urban housing prices by fusing remotely sensed imagery and social media data

The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine-scale study due to a lack of available data and effective models. By integrating a convolutional neural netwo

Fine-scale intra- and inter-city commercial store site recommendations using knowledge transfer

The rapid development of urban retail companies brings new opportunities to the Chinese economy. Due to the spatiotemporal heterogeneity of different cities, selecting a business location in a new area has become a challenge. The application of multi-source geospatial data makes it possible to describe human activities and urban functional zones at fine scale. We propose a knowledge transfer-based

Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata

Cellular automata (CA) have been widely used to simulate complex urban development processes. Previous studies indicated that vector-based cellular automata (VCA) could be applied to simulate urban land-use changes at a realistic land parcel level. Because of the complexity of VCA, these studies were conducted at small scales or did not adequately consider the highly fragmented processes of urban

Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line – based on nighttime light data and cellular automata

The Hu Huanyong Line (Hu Line) shows an uneven geographical pattern of urbanization between Southeast and Northwest China. Based on three questions proposed by the Chinese Premier, the balance of urbanization on both sides of the Hu Line and the possibility of breaking through the pattern in the future has provoked substantial interest in academic circles. Based on quantitative analyses and urban

The Traj2Vec model to quantify residents’ spatial trajectories and estimate the proportions of urban land-use types

The formulation of mixed urban land uses is not only intended to find the ideal scenario of land use but also regarded as a way toward sustainable urban development. We propose a geo-semantic mining approach Traj2Vec to quantify the trajectories of residents as high-dimensional semantic vectors. Then, a random forest (RF) method is used to model the relationship between the semantic vectors and mi

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China is going through a rapid urbanization process, which will have significant influences on the land use pattern in the nationwide scale. In this context, it is very important for getting more information about the overall trend of land use change in the coming decades. To help develop better land management policies and improve the land resource allocation, this paper provides a system dynamic

Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks

The development of geospatial big data makes it possible to study traffic-congestion issues. In particular, floating car data (FCD) is very suitable for it because FCD can help predict traffic-congestion bottlenecks and provide corresponding solutions to address traffic problems. Previous studies have discussed the impacts of rainfall on road speeds, but few studies have focused on the impacts of

Delineating Mixed Urban "jobs-Housing" Patterns at a Fine Scale by Using High Spatial Resolution Remote-Sensing Imagery

The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction. However, obtaining the jobs-housing distribution at a fine scale (e.g., the perspective of individual jobs-housing attribute) presents difficulties due to a lack of social media data and useful models. With user data acquired from a location-based service provider in China, this stud

Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide

Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain underexplored due to challenges of simultaneously inferring spatial heterogeneity, temporal variation, and feedback mechanisms. Here we present a spatio-temporal causality framework that bridges correlation and causation

Reimagining transnational mobility regulations : An anti-imperialist and utopian reading of the Model International Mobility Convention

In this article I rethink international migration law by analysing the Model International Mobility Convention (MIMC) through a concrete-utopian lens. Starting from the premise that coloniality remains an active structure of the global order, I show how progressive legal projects often reproduce the hierarchies they seek to overcome. Combining Gary Wilder’s concrete utopianism with Ruth Levitas’s

Plasma sodium as a predictor of perforation in acute appendicitis : A prospective multi-centre study

BACKGROUND: Non-operative treatment for acute appendicitis (AA) in children has gained acceptance as an alternative to surgery in selected cases. Accurate preoperative differentiation between perforated and non-perforated AA is increasingly important, as the former requires emergency surgery while the latter may be managed conservatively. Previous research has suggested that low plasma sodium conc

Dynamic epigenetic regulation of BCLAF1 splicing in acute myeloid leukemia

Dysregulation of alternative splicing is increasingly associated with cancer development and tumor progression. BCL2-associated transcription factor 1 (BCLAF1) is involved in a wide range of biological processes and it is continuously being investigated due to its intricate function in tumorigenesis and drug resistance. In acute myeloid leukemia (AML) cell lines, we identified two distinct, unbala

Mortality in patients with secondary peritonitis treated by primary closure or vacuum-assisted closure : nationwide register-based cohort study

BACKGROUND: Secondary peritonitis caused by gastrointestinal perforation is associated with significant morbidity and mortality. Effective management includes surgical source control, antibiotic therapy, and intensive resuscitation. The choice between primary abdominal closure (PAC) and vacuum-assisted closure (VAC) in the management of secondary peritonitis remains a subject of debate.METHODS: Th

Media development in practice : What Swedish aid achieved in Vietnam

This Development Dissertation Brief summarises a study of Sweden’s long-term media aid engagement in Vietnam from 1993 to 2007, examining howjournalistic skills, norms and practices were introduced, translated and reshapedwithin an authoritarian media system. Drawing on project documentation andinterviews with Swedish journalism trainers and radio technicians, the disserta-tion analyses how techno