Filtyp
In 2009, a nationwide initiative was established in order to lead and develop world-leading research in Sweden. Lund University received strategic research funding from the Swedish Foundation for Stategic Research and the Swedish Government for 12 strategic research areas (SRAs) of excellence. Of these 12 SRAs, StemTherapy (the strategic research area for Stem Cells and Regenerative Medicine) cont
The mission of the Centre for Engineering Education is to: - Facilitate educational development and training within the framework of Genombrottet. - Organize faculty-wide doctoral courses and training of PhD supervisors. - Organize Supplemental Instruction (SI) at the Faculty of Engineering and in collaboration with primary and secondary schools. - Deliver foundation education for access to engine
Kompetenscentret AdTherM inriktar sig på analyser av termiska processer i industriella tillämpningar, inklusive termo- och elektrokemisk energiomvandling. De flesta utmaningar för industrin inom detta område är generiska och baseras på samma fysiska mekanismer. För att utveckla detta forskningsfält måste både experiment och modeller förbättras och samordnas. AdTherM är en plattform som är centreraAdTherM targets analyses of thermal processes in industrial applications, including thermo- and electrochemical energy conversion activities. Most challenges for the industry in this area are generic and based on the same physical mechanisms. To develop this field, both experiments and models need to be improved and coordinated. AdTherM is a platform centered around the models and methods used t
I kompetenscentret Sentio kopplas excellent forskning och innovation vid universitet, företag och forskningsinstitut samman för att realisera visionen om ett världsledande centrum för utveckling av banbrytande integrerad sensorteknologi som möjliggör digital realtidsoptimering av industriella produkter och produktionsprocesser för en hållbar industri. Genom kontinuerlig och smart processoptimerinThe Sentio Competence Centre collects all necessary excellent competences to introduce beyond cuttingedge integrated sensor technology widely in production and products of Swedish industry. This allows a new level of adaptive control, use of AI integration in production, exact management of material and energy resources, introduction of new production methods, extending product lifetimes and a bre
CESTAP är ett kompetenscentrum som inkluderar akademiska och industriella partners och som främjar produktion och användning av hållbara bränslen för stationära gasturbiner och jetmotorer för flyget. Bland de akademiska och institutbaserade partnerna finns Lunds universitet (koordinerande part), Luleå Tekniska Universitet och RISE (Research Institutes of Sweden). CESTAP finansieras av Energimyndig
There has been considerable scepticism in Europe over the reliability of Russia as a secure source of energy for the EU. Despite Russia and EU being economically interdependent with regard to energy and other trade, there is still concern over potential supply disruptions. What can be gathered from media and scholarly sources is that Russia is potentially an unreliable supplier yet it is currently
The degradation of reinforced concrete (RC) structures has raised major concerns in the concrete industry. The demolition of existing structures has shown to be an unsustainable solution and leads to many financial concerns. Alternatively, the strengthening sector has put forward many sustainable solutions, such as the retrofitting and rehabilitation of existing structural elements with fiber-rein
We present a compact, few-cycle, short-wave infrared light source delivering 13 μJ, carrier-envelope phase (CEP) stable pulses around 2 μm, operating at 200 kHz repetition rate. Starting from an ytterbium fiber amplifier, the seed is produced via white-light generation followed by difference frequency generation, and later amplified in two BiBO nonlinear crystals. A pulse duration of 15.8 fs is me
We present an efficient fiber source designed for continuous-wave differential absorption light detection and ranging (CW DIAL) of atmospheric CO 2 -concentration. It has a linewidth of 3 MHz, a tuning range of 2 nm over the CO
This study aims to predict saving behavior using Artificial Neural Network (ANN), XGBoost, and Support Vector Machine (SVM) algorithms. First, 25 variables were chosen from the original 217 questions asked by the National Financial Capability Well-Being Survey (2018) NFCS, using exploratory data analysis. K-means clustering was applied to determine the optimal number of saving classes (k=5) to inc
When acquiring simple three-dimensional (3d) trajectory data it is common to accumulate large coordinate data sets. In order to examine integrity and consistency of object tracking, it is often necessary to rapidly visualise these data. Ordinarily, to achieve this the user must either execute 3d plotting functions in a numerical computing environment or manually inspect data in two dimensions, plo
