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Avfallsforebyggande mtp slutrapport final

Avfallsförebyggande handlar om effektiv produktion och genomtänkt konsumtion – inte om avfall SJU LÄRDOMAR FRÅN FORSKNINGSPROJEKTET FRÅN AVFALLSHANTERING TILL AVFALLSFÖREBYGGANDE Rapportens författare HERVÉ CORVELLEC (projektledare) Institutionen för service management och tjänstevetenskap, Lunds universitet herve.corvellec@ism.lu.se RICHARD EK Institutionen för service management och tjänsteveten

https://www.ses.lu.se/sites/ses.lu.se/files/avfallsforebyggande_mtp_slutrapport_final.pdf - 2026-06-10

90 10262018 679 90 MP55 Riikonen MatChildNutr 2018

Milk feeding and first complementary foods during the first year of life in the TEDDY study Received: 11 September 2017 Revised: 15 February 2018 Accepted: 1 March 2018 DOI: 10.1111/mcn.12611 bs_bs_banner OR I G I N A L A R T I C L E Milk feeding and first complementary foods during the first year of life in the TEDDY study Anne Riikonen1,2 | David Hadley3,4 | Ulla Uusitalo5 | Nicole Miller6 | Sib

https://www.teddy.lu.se/sites/teddy.lu.se/files/2021-11/90%2010262018_679_90_MP55_Riikonen_MatChildNutr_2018.pdf - 2026-06-10

Hyperelastic constants from a modified hardness test using energy balance obtained from FE-analysis

In order to simplify the hyperelastic characterisation of rubber materials, an extension of the standard hardness test is proposed. A number of indentation depths are chosen for the hardness test and the indentation forces for these depths are recorded. By this modification, hyperelastic constants can be derived from the test, providing more information from the test by a small extra effort. Equiv

Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

Purpose: The aim of this study was to develop and validate an artificial intelligence (AI)-based method using convolutional neural networks (CNNs) for the detection of pelvic lymph node metastases in scans obtained using [18F]PSMA-1007 positron emission tomography-computed tomography (PET-CT) from patients with high-risk prostate cancer. The second goal was to make the AI-based method available to

Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index

Purpose: Consistent assessment of bone metastases is crucial for patient management and clinical trials in prostate cancer (PCa). We aimed to develop a fully automated convolutional neural network (CNN)-based model for calculating PET/CT skeletal tumor burden in patients with PCa. Methods: A total of 168 patients from three centers were divided into training, validation, and test groups. Manual an

Charge Regulation during Amyloid Formation of α-Synuclein

Electrostatic interactions play crucial roles in protein function. Measuring pKa value perturbations upon complex formation or self-assembly of e.g. amyloid fibrils gives valuable information about the effect of electrostatic interactions in those processes. Site-specific pKa value determination by solution NMR spectroscopy is challenged by the high molecular weight of amyloid fibrils. Here we rep

Interval Cancers in a Large, Prospective Breast Tomosynthesis Screening Trial

PURPOSETo assess interval cancer rate in a large, prospective digital breast tomosynthesis (DBT) screening trial in comparison with a concurrent screening population and to assess tumor characteristics of interval cancers in DBT-screening.METHOD AND MATERIALSThe prospective ****Trial, comparing digital breast tomosynthesis (DBT) with digital mammography (DM) in 14,848 women has shown a significant

Exposure to per- and polyfluoroalkyl substances in early pregnancy and risk of cerebral palsy in children

BACKGROUND: Most cerebral palsy (CP) cases have an unexplained etiology, but a role for environmental exposures has been suggested. One purported environmental risk factor is exposure to endocrine-disrupting pollutants specifically per- and polyfluoroalkyl substances (PFAS).OBJECTIVES: We investigated the association between prenatal PFAS exposures and CP in Swedish children.METHODS: In this case-

Pulse overlap artifacts and double quantum coherence spectroscopy

The double quantum coherence (DQC) signal in nonlinear spectroscopy gives information about the many-body correlation effects not easily available by other methods. The signal is short-lived, consequently, a significant part of it is generated during the pulse overlap. Since the signal is at two times the laser frequency, one may intuitively expect that the pulse overlap-related artifacts are filt

Tailoring Auger Recombination Dynamics in CsPbI3 Perovskite Nanocrystals via Transition Metal Doping

Auger recombination is a pivotal process for semiconductor nanocrystals (NCs), significantly affecting charge carrier generation and collection in optoelectronic devices. This process depends mainly on the NCs’ electronic structures. In our study, we investigated Auger recombination dynamics in manganese (Mn2+)-doped CsPbI3 NCs using transient absorption (TA) spectroscopy combined with theoretical

Surface Chemistry in the Initial Stages of Titanium Nitride Atomic Layer Deposition Using Operando Ambient Pressure X-ray Photoelectron Spectroscopy

Studies of the surface chemistry of the first few cycles of atomic layer deposition (ALD) using in situ and time-resolved operando techniques are attractive for realizing, understanding, and obtaining true mechanistic information during the deposition. However, the latter techniques are yet to be applied to ALD of metal nitrides. Here, we present a surface-chemistry investigation through a time-re

Time-resolved 3D imaging opportunities with XMPI at ForMAX

X-rays are commonly used in imaging experiments due to their penetration power, which enables non-destructive resolution of internal structures in samples that are opaque to visible light. Time-resolved X-ray tomography is the state-of-the-art method for obtaining volumetric 4D (3D + time) information by rotating the sample and acquiring projections from different angular viewpoints over time. Thi

About Carrier's Self-Trapping and Dynamical Rashba Splitting in the 2D Hybrid Perovskite (BA)2(MA)2Pb3l10

Time- and Angle-Resolved Photoelectron Spectroscopy (tr-ARPES) is employed to monitor photoexcited electrons in the 2D hybrid perovskite (BA) (Formula presented.) (MA) (Formula presented.) (Formula presented.) (Formula presented.). Photoelectron intensity maps are in good agreement with ab-initio calculations of the band structure. The effective mass is (Formula presented.) and (Formula presented.