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This paper examines the relationship between oil prices and its pass-through to inflation and inflation differentials in the European Monetary Union from the first quarter of 1999 to the last quarter of 2021. By using local projections to derive impulse response functions of an oil price shock, the pass-through to the inflation level is examined focusing on the role of energy-related transmission
0731PDF_Computational modeling strategy of steel connections Master’s Dissertation Structural Mechanics Report TV SM -5235 C A RL-M IC H A EL BJÄ LKEN SÄTER and C A RL H O LM G REN C O M PU TA TIO N A L M O D ELIN G STR A TEG Y O F STEEL C O N N EC TIO N S CARL-MICHAEL BJÄLKENSÄTER and CARL HOLMGREN COMPUTATIONAL MODELING STRATEGY OF STEEL CONNECTIONS 5235HO.indd 15235HO.indd 1 2019-08-08 20:50:53
https://www.byggmek.lth.se/fileadmin/byggnadsmekanik/publications/tvsm5000/web5235.pdf - 2026-07-11
In this paper we address absolute camera pose estimation. An efficient (and standard) way to solve this problem, is to use sparse keypoint correspondences. In many cases point features are not available, or are unstable over time and viewing conditions. We propose a framework based on silhouettes of quadric surfaces, with special emphasis on cylinders. We provide mathematical analysis of the probl
Flow-ELISA measurements of the monoclonal antibody concentration in cultivation broth containing murine hybriboma cells were carried out using a small expanded-bed column (0.5×2.5 cm) charged with protein A. A new specialised pellicular agarose/stainless steel matrix designed for high flow rates with fast mass transport properties was used. Special care was taken to get an efficient flow dist
Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior, making the corresponding optimal control problems intractable for planning in realtime. Learning-based approaches address this issue by shifting computationally expensive reasoning through contacts t
In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The
A fast spectral approximation of a narrow-band computer model is proposed for prediction of thermal radiation in a generally nonisothermal and nonhomogeneous combustion environment. The approximation is made by assuming each discretized spatial element along a line of sight to be locally "gray" within each small narrow-band spectrum interval. For each spatial element, the local equivalent spectral
Let C be a simple(1) polygonal chain of n edges in the plane, and let p and q be two arbitrary points on C. The detour of C on (p, q) is defined to be the length of the subchain of C that connects p with q, divided by the Euclidean distance between p and q. Given an epsilon >0, we compute in time O((1)/(epsilon) n log n) a pair of points on which the chain makes a detour at least 1/(1 + epsilon) t
The current study was made to develop a biosensor based on a single-chamber microbial fuel cell in which anaerobes were retained in the anode compartment separated from the cathode compartment by a proton exchange membrane. In the sensor a replaceable anaerobic consortium was used for analyzing biodegradable organic matter. The anaerobes acted as biocatalysts in oxidizing organic matter and transf
In TSP with neighborhoods (TSPN) we are given a collec-tion X of k polygonal regions, called neighborhoods, with totally n ver-tices, and we seek the shortest tour that visits each neighborhood. TheEuclidean TSP is a special case of the TSPN problem, so TSPN is alsoNP-hard. In this paper we present a simple and fast algorithm that, givena start point, computes a TSPN tour of length O(log k) times
We present an iterative retrieval algorithm based on data constraint for ultrashort pulse characterization using dispersion scan (d-scan). The proposed algorithm is much faster and leads to a drastic reduction of retrieval times, but, compared to the standard algorithm, it performs less robustly in the retrieval of noisy d-scan traces. The algorithm is tested on several simulated cases and in two
More reliable and faster prediction methods are needed to interpret enormous amounts of data generated by sequencing and genome projects. We have developed a new computational tool, PON-P2, for classification of amino acid substitutions in human proteins. The method is a machine learning-based classifier and groups the variants into pathogenic, neutral and unknown classes, on the basis of random f
Ensuring functional safety is crucial for the deployment of autonomous systems in real-life dynamic environments, as they must operate reliably and safely among humans. However, existing safety systems are designed with a closed-world assumption and can over-constrain the system by shutting down the robot at every safety violation, limiting the robot’s ability to complete its tasks. To address thi
A new pharmaceutical product suitable to act as a negative contrast agent for Computerized Scan (CT-scan) of the abdomen is under development. At the moment the product has the form of a powder, which when dispersed in water and whipped, gives a stable foam. The foam is ingested by individuals who are about to undergo a CT-scan, as a prior preparation step. The powder form has disadvantages such a
Untitled Sida 1 av 4 Biologiska institutionen Grund- och avancerad utbildning KURSANALYS Datum 2025-06-02 Kursansvarig: Allan Rasmusson Antal studenter: 24 (exkl. omreg.) Antal svar: 19 Omdöme: 3.8/5 Kursanalys: Molekylärbiologi, MOBA03, VT2025 Sammanställd av Allan Rasmusson i samråd med Urban Johanson Sammanfattning av kursvärderingen Mittkursvärdering: Enligt ombuden har kursens första del fung
Kursutvärdering kursnamn Centrum för miljö- och klimatvetenskap Grund- och avancerad utbildning KURSANALYS Datum 2025-05-22 Kursansvarig: Patrik Edén Antal studenter: 44 Antal svar: 10 Betyg (antal G, VG): 15G, 14VG Sida 1 av 2 Sida 2 av 2 Kursanalys: Introduktion till artificella neuronnätverk och djupinlärning (BERN04) höstterminen 2024 Sammanfattning av kursvärderingen Kursutvärdering saknade d
Kursutvärdering kursnamn Sida 1 av 2 Biologiska institutionen Grund- och avancerad utbildning KURSANALYS Datum 251209 Kursansvarig: Christoffer Johansson Antal studenter: 33 Antal svar: 8+2 Betyg: 4,0 Kursanalys: ”Ekologi”, ”BIOC10/12”, VT-24 Sammanfattning av kursvärderingen Studenterna har varit generellt nöjda med kursen (4,0), och med lärarnas insatser (3,8). Kommunikationen har fungerat ok (3
