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3D morphological variability in foraminifera unravel environmental changes in the Baltic Sea entrance over the last 200 years

Human activities in coastal areas have intensified over the last 200 years, impacting also high-latitude regions such as the Baltic Sea. Benthic foraminifera, protists often with calcite shells (tests), are typically well preserved in marine sediments and known to record past bottom-water conditions. Morphological analyses of marine shells acquired by microcomputed tomography (µCT) have made signi

Övervakning av fåglarnas populationsutveckling: : Årsrapport för 2022

I denna rapport redovisas populationstrender för 224 svenska fågelarter för olika långa tidsperioder, samt korttidstrender för 12 arter av större däggdjur. Fåglarna har räknats höst, vinter, vår och sommar enligt strikt standardiserade metoder. Sommar- respektive vinterpunktrutter har räknats sedan 1975, i huvudsak i södra Sverige. Standardrutterna räknas också på sommaren (sedan 1996)men täcker hWe present the results of the Swedish Bird Survey, a project run by the Department of Biology, Lund University, as a part of the National Monitoring Programme of the Swedish Environmental Protection Agency. The results for 2022 include data from: 546 winter point counts in 2021/2022 (47th winter), ofwhich 254 were carried out during the Christmas/New Year count, 209 summer point count routes (48th

Clonal origin and development of high hyperdiploidy in childhood acute lymphoblastic leukaemia

High hyperdiploid acute lymphoblastic leukemia (HeH ALL), one of the most common childhood malignancies, is driven by nonrandom aneuploidy (abnormal chromosome numbers) mainly comprising chromosomal gains. In this study, we investigate how aneuploidy in HeH ALL arises. Single cell whole genome sequencing of 2847 cells from nine primary cases and one normal bone marrow reveals that HeH ALL generall

Optimizing Extreme Learning Machine for Drought Forecasting : Water Cycle vs. Bacterial Foraging

Machine learning (ML) methods have shown noteworthy skill in recognizing environmental patterns. However, presence of weather noise associated with the chaotic characteristics of water cycle components restricts the capability of standalone ML models in the modeling of extreme climate events such as droughts. To tackle the problem, this article suggests two novel hybrid ML models based on combinat

Radiologically enlarged cardiophrenic lymph nodes and CA-125 in relation to diaphragmatic carcinomatosis, surgical outcome, and overall survival in advanced ovarian cancer

BackgroundWe primarily aimed to determine whether the presence of enlarged cardiophrenic lymph nodes (CPLNs), visualized by computed tomography (CT), and CA-125 can be used to assess diaphragmatic carcinomatosis and residual disease (RD) in advanced ovarian cancer (AOC) patients treated with upfront surgery. The secondary aim was to determine the prognostic role of CT-CPLNs in overall survival (OS

How academic podcasting can change academia and its relationship with society: A conversation and guide

In this paper we explore the potential of academic podcasting to effect positive change within academia and between academia and society. Building on the concept of “epistemic living spaces,” we consider how podcasting can change how we evaluate what is legitimate knowledge and methods for knowledge production, who has access to what privileges and power, the nature of our connections within acade

Morphological development of a small-scale beach nourishment in a non-tidal area

Combining hard and soft costal protection solutions can be an appropriate measure to enhance structure lifetime. This study aims to quantify the morphological evolution of the nourished stretch and adjacent coastlines. A small-scale beach nourishment has been performed in front of a rock revetment at site in Faxe Ladeplads in Zealand, Denmark. The overall objective is to learn more about the dynam

What is the process of Personal Growth? Introducing the Personal Growth Process Model

Personal growth as a process remains vaguely understood. We introduce the Personal Growth Process (PGP) model based on Carl Rogers’s organismic valuing process (OVP). The PGP model explains personal growth as a sociocognitive embodied process whereby an individual undergoes multiple mental shifts that make up an ongoing, fluctuating process over the long term, starting from a place of psychologica

Ventricular–arterial coupling (VAC) in a population-based cohort of middle-aged individuals: The STANISLAS cohort

Background and aimsData exploring normal values of different ventricular–arterial coupling (VAC) parameters and their association with anthropometric and cardiovascular (CV) factors are scarce. We aim to report values of two different methods of VAC assessment according to age and sex and explore their association with CV factors within a large population-based cohort of middle-aged individuals.Me

Sensory Overresponsivity and Symptoms Across the Obsessive-Compulsive Spectrum: Web-Based Longitudinal Observational Study

Background:Sensory overresponsivity (SOR) has emerged as a potential endophenotype in obsessive-compulsive disorder (OCD), but few studies have examined SOR in relation to the major symptom dimensions of OCD and to symptoms across the full obsessive-compulsive (OC) symptom spectrum.Objective:This study had 2 main objectives. First, we examined the psychometric properties of the SOR Scales in a com

Relationship between Cognitive Strategies of Emotion Regulation and Dimensions of Obsessive–Compulsive Symptomatology in Adolescents

Cognitive emotion regulation refers to the management of one’s emotions through cognitive strategies. Studies have found that individuals with obsessive–compulsive symptoms utilize emotion regulation strategies differently compared to those without these symptoms. This study aims to investigate the relationship between cognitive strategies for emotion regulation and specific dimensions of obsessiv

Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study

BackgroundA machine-learning approach identified five subgroups of diabetes in Europeans which included severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD) with partially distinct genetic aetiologies. We previously validated four of the non-autoimmune subgroup

Genome-wide mRNA profiling in urinary extracellular vesicles reveals stress gene signature for diabetic kidney disease

Urinary extracellular vesicles (uEV) are a largely unexplored source of kidney-derived mRNAs with potential to serve as a liquid kidney biopsy. We assessed ∼200 uEV mRNA samples from clinical studies by genome-wide sequencing to discover mechanisms and candidate biomarkers of diabetic kidney disease (DKD) in Type 1 diabetes (T1D) with replication in Type 1 and 2 diabetes. Sequencing reproducibly s

Age and Referral Route Impact the Access to Diagnosis for Women with Advanced Ovarian Cancer

Purpose: The majority of women with ovarian cancer are diagnosed in late stages. Most women do have symptoms prior to diagnosis, sometimes several months before the diagnosis. The aim of this study was to evaluate the timeline from the first presentation of symptoms to a physician until there is a reasonable suspicion of cancer, among women diagnosed with advanced stage ovarian cancer. We wanted t

Tilt-Induced Changes in RR Series Characteristics : An AV Node Simulation Study

In the ECG recordings during tilt test, changes in RR series characteristics can be observed. The purpose of the present study is to investigate to what extent these changes can be explained by changes in the atrial input and in the atrioventricular (AV) nodal characteristics induced by the autonomic nervous system (ANS). Average RR series characteristics (mean, rmssd and sample entropy) and avera

Effects of Acetylcholine Release Spatial Distribution on the Frequency of Atrial Reentrant Circuits : a Computational Study

The frequency of the ECG fibrillatory f-waves (Ff) in atrial fibrillation (AF) shows significant variations over time. Cardiorespiratory interactions through the autonomic nervous system have been suggested to play a role in such variations. Here, we tested whether the spatial distribution associated with the release of the parasympathetic neurotransmitter acetylcholine (ACh) could affect the freq

Drug Dependent Circadian Variations in AV-nodal Properties During Atrial Fibrillation

The heart rate during atrial fibrillation (AF) is highly dependent on the conduction properties of the atrioventricular (AV) node, which can be affected using β-blockers or calcium channel blockers, often chosen empirically. Thus, characterization of the AV nodal conduction properties could contribute to personalized treatment of AF. We have created a mathematical network model of the AV node wher