Using spatial cues such as shape, orientation, and pattern aids visuospatial working memory because it allows strategies that reduce the load on this cognitive resource. One such strategy, namely taking advantage of patterned spatial distributions, remains understudied to date. This strategy demands keeping track of already-searched locations and excluding them from further search and so correlate

Foaming of most bio-based polymers is challenged by low pore formation and foam stability. At the same time, the developing utilization of bio-based materials for the circular economy is placing new demands for easily processable, low-density materials from renewable raw materials. In this work, we investigate cellulose nanofiber (CNF) foams in which foaming is facilitated with wood-based hemicell

The barrier function of the skin is mainly assured by its outermost layer, stratum corneum (SC). One key aspect in predicting dermal drug delivery and in safety assessment of skin exposure to chemicals is the need to determine the amount of chemical that is taken up into the SC. We here present a strategy that allows for direct measures of the amount of various solid chemicals that can be dissolve

The effects of deformed shell structure on the potential energies of the doubly even fp shell nuclei are determined by the macroscopic-microscopic method. The calculated potentials are incorporated in the Bohr Hamiltonian for collective quadrupole motion, and the resulting excitation spectra are compared with experimental data.

The polyaneuploid cancer cell (PACC) state promotes cancer lethality by contributing to survival in extreme conditions and metastasis. Recent experimental evidence suggests that post-therapy PACC-derived recurrent populations display cross-resistance to classes of therapies with independent mechanisms of action. We hypothesize that this can occur through PACC memory, whereby cancer cells that have

Functional magnetic resonance imaging (fMRI) is increasingly used to non-invasively study the acute impact of psychedelics on the human brain. While fMRI is a promising tool for measuring brain function in response to psychedelics, it also has known methodological challenges. We conducted a systematic review of fMRI studies examining acute responses to experimentally administered psychedelics in o

Leaf mass per area (LMA) and equivalent water thickness (EWT) are key indicators providing information on plant growth status and agricultural management, and their retrieval is commonly done through radiative transfer models (RTMs) such as the PROSPECT model. However, the PROSPECT model is frequently hampered by the ill-posed problem as a consequence of measurement and model uncertainties. Here,

OBJECTIVES: We sought to explore 25-year trends of gender disparity in the prevalence of obesity and overweight both in urban and rural areas among Chinese children from 1985 to 2010.METHODS: Data included 1 280 239 children aged 7-18 years enrolled in the Chinese National Survey on Students's Constitution and Health (CNSSCH), which is the largest nationally representative sample of school-aged ch

This blog was written by Jacob Lind, Postdoctoral researcher in international migration at Malmö University; Anna Lundberg, Professor of Sociology of Law at Lund University; Hanna Scott, Doctoral student at Lunköpig University; and Karin Åberg, Doctoral student at the University of Gothenburg.

Crystallographic data for 620 C - nitro-O⋯H - N,O hydrogen bonds, involving 560 unique H atoms, have been investigated to the van der Waals limit of 2.62 Å. The overall mean nitro-O⋯H bond length is 2.30 (1) Å, which is much longer (weaker) than comparable hydrogen bonds involving >C=O acceptors in ketones, carboxylic acids and amides. The donor hydrogen prefers to approach the nitro-O atoms in th

This thesis investigates how methods of aerodynamic validation can assist a formula student team in designing their aerodynamic package. When de- signing their aerodynamic components, formula student team mostly rely on CFD software simulations, but there is no guarantee that the simulations de- pict properly the physical behaviour of the airflow around the car. For that, aerodynamic validation is

Bayesian phylogenetics is now facing a critical point. Over the last 20 years, Bayesian methods have reshaped phylogenetic inference and gained widespread popularity due to their high accuracy, the ability to quantify the uncer‑ tainty of inferences and the possibility of accommodating multiple aspects of evolutionary processes in the models that are used. Unfortunately, Bayesian methods are compu

Background: Malignant peripheral nerve sheath tumour (MPNST) is an aggressive orphan disease commonly affecting adolescents or young adults. Current knowledge of molecular tumour biology has been insufficient for development of rational treatment strategies. We aimed to discover molecular subtypes of potential clinical relevance. Methods: Fresh frozen samples of MPNSTs (n = 94) and benign neurofib

Psoriasis is a chronic, immune-mediated inflammatory disease with a worldwide prevalence ranging between 0.51 and 11.43%. It results in a large clinical and social burden, with patients frequently suffering from reduced quality of life, psychologic distress and debilitating comorbidities. Biologic agents are used to establish and maintain disease control in patients with moderate-to-severe psorias

Hur får man tid över till det viktigaste?Hur kan du åstadkomma mer och bättre genom att göra mindre?Samtidshistorikern David Larsson Heidenblad har grävt, sorterat och testat för att kunna lyfta fram de mest välgrundade och effektiva metoderna och principerna – för den som vill koncentrera sig på det väsentliga i livet.Med hjälp av dessa – och andra tips och råd – hjälper han läsaren att klart och

Objectives: Pleural mesothelioma (PM) is a rare disease with dismal outcome. Systemic treatment options include chemotherapy and immunotherapy, but biomarkers for treatment personalization are missing. The only FDA-approved diagnostic biomarker is the soluble mesothelin-related protein (SMRP). Krebs von den Lungen-6 (KL-6) is a human mucin 1 (MUC1) glycoprotein, which has shown diagnostic and prog

This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. Evaluation metrics include root of mean squared error (