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Predicting neoadjuvant chemotherapy treatment response in hormone-receptor-positive/HER2-negative breast cancer – results from the Swedish SCAN-B population-based cohort

Background and purpose: Hormone-receptor-positive/HER2-negative (HR+/HER2-) early-stage breast cancers (EBCs) display heterogenous responses to neoadjuvant chemotherapy (NACT) warranting biomarkers to tailor optimal treatment for individual patients. Patients/material and methods: Women with HR+/HER2-EBC (N = 178) included in the Swedish Sweden Cancerome Analysis Network-Breast (SCAN-B) population

Plant phenology evaluation of CRESCENDO land surface models using satellite-derived Leaf Area Index - Part 2 : Seasonal trough, peak, and amplitude

Leaf area index is an important metric for characterising the structure of vegetation canopies and scaling up leaf and plant processes to assess their influence on regional and global climate. Earth observation estimates of leaf area index have increased in recent decades, providing a valuable resource for monitoring vegetation changes and evaluating their representation in land surface and earth

Morphological knowledge as a predictor of receptive vocabulary for Swedish L1 and L2 school-aged children

The aim of this study was to assess to what extent receptive vocabulary could be explained by morphological knowledge, language majority/minority background and socioeconomic status (SES) for Swedish 8–11-year-old children. A total of 89 children participated, of whom n = 47 were L1 speakers (language majority) and n = 42 were L2 speakers (language minority). Morphological knowledge (MK) was asses

Multi-photon lithography on thin films for efficient fabrication of 2D and 2.5D meta-atoms

Direct laser writing (DLW) has arise interest in a variety of fields due to the capabilities that we get from the realization of 2D and 3D structures with high resolution fabrication techniques. Multi-photon lithography (MPL) relies on non-linear absorption effects, making possible the fabrication of metasurfaces with feature size beyond the diffraction limit. A new approach in this direction is t

Passive seismic imaging of the Lower Palaeozoic in the Sudret area of Gotland, Sweden

Passive seismic data were acquired together with active seismic data along a 2.8 km long profile in the Sudret area of Gotland, Sweden, as part of a feasibility study for storage of CO2 below the Baltic Sea. Seismic interferometry using cross-correlation and cross-coherence was employed on the passive seismic data. Cross-correlation was used to retrieve virtual shot gathers containing mainly surfa

Mitigating dye and organic pollutant-driven surface water pollution using ZnO nanoparticles : a sustainable strategy for climate resilience

Surface water pollution consists of various pollutants like heavy metals (Cu, Cr, Pb, and Ni), metalloids (Se, As, and Ag), and organic pollutants (dyes, antibiotics, pharmaceuticals, pesticides, and phenolic compounds). The escalating issue of water pollution requires innovative solutions for mitigation and climate resilience. Although various advanced techniques are being developed for removing

Strain-Level Typing of Streptococcus pyogenes Using Optical DNA Mapping

Streptococcus pyogenes, also known as group A Streptococcus (GAS), is a Gram-positive bacterial pathogen responsible for approximately 500,000 deaths globally per year. Therefore, surveillance of invasive GAS infections is of critical importance in understanding societal transmission. In this study, we propose an optical DNA mapping (ODM)-based assay for strain-level typing of S. pyogenes. Fluores

Replacing Mycophenolate Mofetil by Everolimus in Kidney Transplant Recipients to Increase Vaccine Immunogenicity : Results of a Randomized Controlled Trial

Background. Vaccine immunogenicity is reduced in kidney transplant recipients (KTRs), especially in those using mycophenolate mofetil (MMF). Whether replacement of MMF by everolimus improves vaccine immunogenicity is unknown. Methods. KTRs were randomized 1:1 to continue MMF or switch to everolimus. Participants received one coronavirus disease 2019 (COVID-19) booster vaccination and two herpes zo

Nature of Temperature-Induced Phase Transitions in Secondary Organic Aerosol Particles

This study investigates how changes in temperature affect the secondary organic aerosol (SOA) phase state. SOA was formed by α-pinene ozonolysis in an atmospheric simulation chamber at temperatures (T0) in the range of 257–283 K at RH0< 20%. After more than 14 h of SOA aging, one or more heating and cooling ramps were performed. Upon heating, we observe that the onset of evaporative SOA shrinkage

ASaP : Automatic Software Prefetching for Sparse Tensor Computations in MLIR

Sparse tensor computations suffer from irregular memory access patterns that degrade cache performance. While software prefetching can mitigate this, existing compiler approaches lack the semantic insight needed for effective optimization. We present ASaP, an automatic software prefetching framework integrated within MLIR’s sparse tensor dialect. By leveraging semantic information-tensor formats a

Revealing the 1D Nature of Electronic States in Phosphorene Chains

Phosphorene, a 2D allotrope of phosphorus, is technologically very appealing because of its semiconducting properties and narrow bandgap. Further reduction of the phosphorene dimensionality may spawn exotic properties of its electronic structure, including lateral quantum confinement and topological edge states. It is demonstrated that dispersions measured along and perpendicular to the phosphoren

Cultural Origins of Risk Taking in Financial Markets

This paper studies how cultural heritage influences the differences in risk taking in financial markets. We combine data on the asset allocation of second-generation immigrants in Sweden with risk taking culture in their parents’ countries of origin. We find that descendants of risk loving cultures are more likely to participate in equity markets, and, conditional on participation, allocate a larg

Camp : a modular metagenomics analysis system for integrated multistep data exploration

Computational analysis of large-scale metagenomics sequencing datasets provides valuable isolate-level taxonomic and functional insights from complex microbial communities. However, the ever-expanding ecosystem of metagenomics-specific methods and file formats makes designing scalable workflows and seamlessly exploring output data increasingly challenging. Although one-click bioinformatics pipelin