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Nanophotonic-Enhanced Two-Photon-Excited Photoluminescence of Perovskite Quantum Dots

All-inorganic CsPbBr3 perovskite colloidal quantum dots have recently emerged as a promising material for a variety of optoelectronic applications, among others for multiphoton-pumped lasing. Nevertheless, high irradiance levels are generally required for such multiphoton processes. One strategy to enhance the multiphoton absorption is taking advantage of high local light intensities using photoni

The association between the number of oocytes retrieved for IVF, perinatal outcome and obstetric complications

STUDY QUESTION: Is there an association between the number of oocytes retrieved for IVF, and perinatal and obstetric outcomes? SUMMARY ANSWER: No significant association was found between the number of oocytes retrieved and perinatal outcomes, while an association was found for placenta praevia and male gender. WHAT IS KNOWN ALREADY: Previous studies have shown that between 6 and 15 oocytes retrie

Building polymer-like clusters from colloidal particles with isotropic interactions, in aqueous solution

Hypothesis: Colloidal particles that interact via a long-ranged repulsive barrier in combination with a very short-ranged attractive minimum can “polymerize” to form highly anisotropic structures. Motivated by previous experimental achievements in non-aqueous solvents, and recent theoretical predictions, we hypothesize that it is possible to construct clusters that resemble linear or branched poly

Finite element analysis for simplified thermal dose planning in interstitial laser thermotherapy

The objective was to investigate if diffusing laser fibres can be modelled as conductive heat sources without miscalculating coagulated volumes, and if finite element analysis, disregarding light transport, may be used for three dimensional (3D) treatment planning in interstitial laser thermotherapy (ILT). Temperature distributions and coagulated volumes with a diffusing laser fibre, as compared t

Stable CsPb1- xZn xI3Colloidal Quantum Dots with Ultralow Density of Trap States for High-Performance Solar Cells

All inorganic halide perovskites in the form of colloidal quantum dots (QDs) have come into people's view as one of the potential materials for the high-efficiency solar cells; nevertheless, the high surface trap density and poor stability of QDs restrict the performance improvement and application. Here, we obtain colloidal inorganic perovskite CsPb1-xZnxI3 QDs by the hot-injection synthesis proc

Adiabatic elimination and subspace evolution of open quantum systems

Efficient descriptions of open quantum systems can be obtained by performing an adiabatic elimination of the fast degrees of freedom and formulating effective operators for the slow degrees of freedom in reduced dimensions. Here, we perform the construction of effective operators in frequency space, and using the final value theorem or alternatively the Keldysh theorem, we provide a correction for

Estimating Global Burden of Disease due to congenital anomaly : An analysis of European data

Objective To validate the estimates of Global Burden of Disease (GBD) due to congenital anomaly for Europe by comparing infant mortality data collected by EUROCAT registries with the WHO Mortality Database, and by assessing the significance of stillbirths and terminations of pregnancy for fetal anomaly (TOPFA) in the interpretation of infant mortality statistics. Design, setting and outcome measur

Molecular characterization of circulating tumor cells from patients with metastatic breast cancer reflects evolutionary changes in gene expression under the pressure of systemic therapy

Resistance to systemic therapy is a major problem in metastatic breast cancer (MBC) that can be explained by initial tumor heterogeneity as well as by evolutionary changes during therapy and tumor progression. Circulating tumor cells (CTCs) detected in a liquid biopsy can be sampled and characterized repeatedly during therapy in order to monitor treatment response and disease progression. Our aim

Rat Paw Tracking for Detailed Motion Analysis

This work is part of a research project studying the learning of fine motor skills in rats. A system for tracking a rat paw using a system of high-speed cameras is presented along with preliminary analysis of the correlation between paw movement and neural data. The tracking method is generative, modeling the rat paw as a set of linked ellipsoids. To find the most probable paw pose a number of hyp

Adaptive Control of Positive Systems with Application to Learning SSP

An adaptive controller is proposed and analyzed for the class of infinite-horizon optimal control problems in positive linear systems presented in (Ohlin et al., 2024b). This controller is derived from the solution of a “data-driven algebraic equation” constructed using the model-free Bellman equation from Q-learning. The equation is driven by data correlation matrices that do not scale with the n

A new approach to relay-based autotuning PID controllers and their evaluation in pH control of industrial photobioreactors

This paper presents a novel adaptive autotuning strategy for controlling the pH in microalgae raceway reactors, a critical variable in optimizing biomass productivity under dynamic environmental conditions. The method expands on existing relay-based autotuning principles, tailored to suit the seasonally variable dynamics of microalgae cultivation systems influenced by CO2 injection and photosynthe

Pixel-Perfect Structure-From-Motion With Featuremetric Refinement

Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects keypoints per-image once and for all, which can yield poorly-localized features and propagate large errors to the final geometry. In this article, we refine two key steps of structure-from-motion by a direct alignment of low-level image inform

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation

Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derived from the observed data, which limits the generative capacity of the diffusion model. Additionally, dealing with the original missing data without labe

Rev Handbok arbetsmiljöarbetet MHM 2022

Microsoft Word - Rev_Handbok_arbetsmiljöarbetet_MHM_2022.docx HANDBOK ARBETSMILJÖARBETET (SAM/SBA/SFAD/OSA) Systematiskt arbetsmiljöarbete, brandskyddsarbete, förebyggande arbete mot diskriminering samt organisatorisk och social arbetsmiljö VID MUSIKHÖGSKOLAN I MALMÖ Lunds universitet 2022-2023 Delges Institutionsstyrelsen xx april 2022 Version Datum Namn Anmärkning 1 2016-02-12 Carina Olsson 2 20

https://www.mhm.lu.se/internt/sites/mhm.lu.se.internt/files/2022-11/Rev_Handbok_arbetsmiljo%CC%88arbetet_MHM_2022.pdf - 2026-05-23

Protokoll Nämnden För GS 240227 0

LUNDS UNIVERSITET SAMHÄLLS­ VETENSKAPLIGA FAKULTETEN PROTOKOLL 2024-02-27 1 Diarienummer STYR 2024/757 Graduate School Nämnden för Graduate School, 2024-02-27 Närvarande Ledamöter Lena Karlsson Leysan Storie Catia Gregoratti Marta Kolankiewicz Anne Jemeck Christopher Swader Mikhail Martynovich Axel Fredholm Rikard Bengtsson Ida Nafstad Sunniva Seeverud Patrycja Andrychowicz Sarah Rebecca Kurian öv

https://www.graduateschool.sam.lu.se/sites/graduateschool.sam.lu.se/files/2024-04/Protokoll%20N%C3%A4mnden%20f%C3%B6r%20GS%20240227_0.pdf - 2026-05-23