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Cultured Mast Cells from Patients with Asthma and Controls Respond with Similar Sensitivity to Recombinant Der P2-Induced, IgE-Mediated Activation

The function of cultured mast cells may depend on genetic or environmental influence on the stem cell donor. This study investigates whether asthma or atopy in the donor influenced the growth and sensitivity of mast cells cultured from patients with asthma and healthy controls under identical conditions. Mast cells were cultured from peripheral blood from twelve patients with an objectively confir

A Simulation Study Quantifying the Effects of Drive Cycle Characteristics on the Performance of a Pneumatic Hybrid Bus

In the study presented in this paper, the effect of different vehicle driving cycles on the pneumatic hybrid has been investigated. The pneumatic hybrid powertrain has been modeled in UT-Power and validated against experimental data. The GT-Power engine model has been linked with a MATLAB/simulink vehicle model. The engine in question is a single-cylinder Scania D12 diesel engine, which has been c

Forecasting the Regulating Price in the Finnish Energy Market using the Multi-Horizon Quantile Recurrent Neural Network

In recent years there has been a large increase in available data from the electric grid in Finland. The availability of both operational as well as financial data enables exploration of forecasting energy prices using deep learning techniques. As a result this thesis implements the Multi-Horizon Quantile Recurrent Neural Network (MQRNN) to forecast the regulating price in the Finnish energy markeEnergy is something we use on a daily basis. Among other things we use it to charge our phones and turn on the lights. But what determines the price of energy? In the Nordics, energy is traded like a commodity by the market. That means the price is set according to supply and demand. And while the demand is easy to forecast, determining what will be produced is harder. Forecasting production accur

Practical Aspects of Reduced Complexity LDPC Decoding using Forced Convergence

This thesis is an extension to the previous work done at Department of EIT in investigating the complexity reduction of LDPC decoding using the stochastic approximation method to improve the energy efficiency of energy-limited applica- tions, such as in mobile phones. The research carried out in this thesis investigates the complexity and conver- gence results of adaptive performance control algorit

Mode of Coreceptor Use by R5 HIV Type 1 Correlates with Disease Stage: A Study of Paired Plasma and Cerebrospinal Fluid Isolates.

Abstract Through the use of chimeric CXCR4/CCR5 receptors we have previously shown that CCR5-tropic (R5) HIV-1 isolates acquire a more flexible receptor use over time, and that this links to a reduced viral susceptibility to inhibition by the CCR5 ligand RANTES. These findings may have relevance with regards to the efficacy of antiretroviral compounds that target CCR5/virus interactions. Compartme

Constructing the national innovation system in Rwanda: efforts and challenges

The building of sustainable innovation capabilities in Africa requires an innovation system capable of producing, disseminating and using new knowledge. This paper assesses the process of constructing the National Innovation System (NIS) in Rwanda. It is posited that consensus on and acceptance of the concept of NIS among stakeholders is crucial in the early process of constructing an efficient an

Towards alkali-stable polymers and hydroxide exchange membranes functionalized with alicyclic quaternary ammonium cations

In the current work, cationic polymers functionalized with N-alicyclic quaternary ammonium (QA) cations were synthesized and characterized as potential hydroxide exchange membranes (HEMs) for application in fuel cells. Three different polymers, namely poly(arylene ether sulfone), spiro-ionene and poly(arylene alkylene), were explored as polymer backbones for the HEMs. Various mono- and spirocyclic

The feasibility of using Pareto fronts for comparison of treatment planning systems and delivery techniques

Pareto optimality is a concept that formalises the trade-off between a given set of mutually contradicting objectives. A solution is said to be Pareto optimal when it is not possible to improve one objective without deteriorating at least one of the other. A set of Pareto optimal solutions constitute the Pareto front. The Pareto concept applies well to the inverse planning process, which involves

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Nyhetsbrev från Akademikerföreningen Sveriges Ingenjörer vid Siemens Energy AB Kontakt: asi.se@siemens-energy.com Redaktörer: SvE, CH Nr: 06 2023-09-18 Revisionsutfall Årets lönerevision är nu sammanställd för ASI. I det bifogade underlaget presenteras ett histogram som visar hur revisionsutrymmet är fördelat. Medianlöneökningen för dom som ingår i revisionen hamnar på 2351:- vilket motsvarar en m

https://www.saco.se/globalassets/lokala-akademikerforeningar/privat/siemens-energy-ab/nyhetsbrev/asi-nyhetsbrev-0623.pdf - 2026-05-26

Edith Hammer

Universitetslektor Kontaktinformation E-post: edith [dot] hammer [at] biol [dot] lu [dot] se Telefon: +46 46 222 45 36 Mobil: +46 73 244 19 68Organisation Funktionell ekologi Besöksadress: Kontaktvägen 10, Lund Rumsnummer: A224 Hämtställe: 50 WebbplatsEdith Hammers profil i Lunds universitets forskningsportalAndra roller Forskare Miljö- och geovetenskapliga institutionen (MGeo) Medlem i Strategisk

https://www.cec.lu.se/sv/edith-hammer - 2026-05-26