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Here we present a new eastern Baltic Chironomidae training set (TS) containing 35 sites that was collected and merged with neighbouring published Finnish (82 lakes) and northern part of the Polish (nine lakes) TSs. Chironomidae, non-biting midges, are known to be strongly responsive to the July air temperature and are widely used to infer palaeotemperature. Several modern analogue-based TSs necess
Winter warming events (WWEs) are short-lasting events of unusually warm weather, occasionally combined with rainfall, which can cause severe ecosystem impacts by altering ground temperatures and water fluxes. Despite their importance, how large-scale ecosystem models perform in depicting the impacts of WWEs remain largely unknown. The frequency and intensity of WWEs will likely increase further in
Industry 4.0, with its focus on flexibility and customizability, is pushing in the direction of wireless communication in future smart factories, in particular, massive multiple-input-multiple-output (MIMO) and its future evolution of large intelligent surfaces (LIS), which provide more reliable channel quality than previous technologies. At the same time, network slicing in 5G and beyond systems
Intimate partner violence (IPV) is a global issue requiring a thorough understanding of risk factors to inform prevention strategies. This study applies Kraemer et al.‘s (2005) categorization system to classify risk factors for IPV perpetration, addressing two research questions: 1) What variables or attributes are commonly employed to assess the risks associated with IPV perpetration, and how can
The demand for cost- and time-effective and customizable components for High Vacuum (HV) and Ultra-High Vacuum (UHV) systems has prompted exploration into the application of 3D-printing technology. This study investigates the viability of utilizing 3D-printed plastics in UHV environments by evaluating their outgassing properties. An extensive evaluation of 3D-printing materials was carried out, hi
Traffic related non-exhaust particulate sources and road dust are an increasingly important source for PM10 air pollution as exhaust sources are decreasing due to regulations. In the Nordic countries, the road dust problem is enhanced by use of studded tyres, causing increased road wear and winter road maintenance including gritting. Efforts to reduce road dust emissions requires knowledge on temp
In certain situations, the quality of a process is determined by dependent variables in relation to independent variables, often modeled through a regression framework referred to as a profile. The practice of monitoring and preserving this relationship is known as profile monitoring. In this paper, we propose an innovative approach that uses different machine-learning (ML) techniques for construc
Current standard wound care involves dressings that provide moisture and protection; however, dressings providing active healing are still scarce and expensive. We aimed to develop an ecologically sustainable 3D printed bioactive hydrogel-based topical wound dressing targeting healing of hard-to-heal wounds, such as chronic or burn wounds, which are low on exudate. To this end, we developed a form
Recent research in evolutionary economic geography addressing radical innovation and grand challenges has advocated for a shift in focus from single technologies and products toward interrelated configurations of technologies and institutions. This suggests moving beyond explaining innovation and industrial dynamics primarily by the existence of appropriate knowledge and capability stocks, to incl
This article investigates the performance of several residuals for the Cox proportional hazards regression model to diagnose the influential observations. The standardized and adjusted forms of residuals are proposed for Cox proportional hazards regression model. In addition, Cook’s distance is proposed for both standardized and adjusted residuals. The assessment of different residuals for the ide
In recent decades there has been an increasing demand in environmental sciences for harmonized climatic data at large spatial scales and long periods. Here we present easyclimate, a software package to obtain daily climatic data at high resolution (0.0083°, ∼1 km) with R. The package facilitates the downloading and processing of precipitation, minimum and maximum temperatures for Europe from 1950
Digital traces representing online consumer practices: A methodologicalguidance for exploratory retailing researchPatrik Stoopendahl11 Stockholm School of Economics Institute for Research (SIR)Extended abstractDigital devices, such as the smartphone, enable an array of tasks in consumers’ daily lives; searching forproducts, soliciting advice from friends, interacting with communities or retailers,
Given that urban planning has served colonial and imperialist purposes, this commentary explores the existing challenges for early-career researchers conducting research designed in the Global North and carried out in/on the Global South. We offer a series of questions and provocations as an invitation to colleagues facing similar dilemmas to reflect on their own research from a decolonial methodo
Deep learning methods have significantly advanced the field of gaze estimation, yet the development of these algorithms is often hindered by a lack of appropriate publicly accessible training datasets. Moreover, models trained on the few available datasets often fail to generalize to new datasets due to both discrepancies in hardware and biological diversity among subjects. To mitigate these chall
High-pressure homogenizers are prone to cavitation, which causes wear and influences breakup efficiency. However, the inception point, as well as the extent and intensity, depends on geometry, operation, and fluid properties. While several methods have been previously suggested to characterize cavitation in homogenizer valves (including ultrasonic methods), they have required highly specialized, s
Objectives: Positive resection margins after breast-conserving surgery (BCS) most often demands a repeat surgery. To preoperatively identify patients at risk of positive margins, a multivariable model has been developed that predicts positive margins after BCS with a high accuracy. This study aimed to externally validate this prediction model to explore its generalizability and assess if additiona
