Relationships between self-esteem-related dream content and explicit and implicit measures of self-esteem.

While there is evidence of continuity between waking life and dream content, findings with regard to personality are questionable due to methodological issues. In addition, previous studies have used explicit measures, although one could assume that dream content, which is formed implicitly, should have a closer relationship with implicit measures of personality. We investigated how explicit and implicit measures of self-esteem are related to two possibly pertinent variables of dream content.

Strong prevalence of light regime-specific QTL in Arabidopsis detected using automated high-throughput phenotyping in fluctuating or constant light.

Plants have evolved and adapted under dynamic environmental conditions, particularly to fluctuating light, but plant research has often focused on constant growth conditions. To quantitatively asses the adaptation to fluctuating light, a panel of 384 natural Arabidopsis thaliana accessions was analyzed in two parallel independent experiments under fluctuating and constant light conditions in an automated high-throughput phenotyping system upgraded with supplemental LEDs. While the integrated daily photosynthetically active radiation was the same under both light regimes, plants in fluctuating light conditions accumulated significantly less biomass and had lower leaf area during their measured vegetative growth than plants in constant light.

High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models.

Detection of spikes is the first important step toward image-based quantitative assessment of crop yield. However, spikes of grain plants occupy only a tiny fraction of the image area and often emerge in the middle of the mass of plant leaves that exhibit similar colors to spike regions. Consequently, accurate detection of grain spikes renders, in general, a non-trivial task even for advanced, state-of-the-art deep neural networks (DNNs).

Mapping parental DMRs predictive of local and distal methylome remodeling in epigenetic F1 hybrids.

F1 hybrids derived from a cross between two inbred parental lines often display widespread changes in DNA methylation and gene expression patterns relative to their parents. An emerging challenge is to understand how parental epigenomic differences contribute to these events. Here, we generated a large mapping panel of F1 epigenetic hybrids, whose parents are isogenic but variable in their DNA methylation patterns.

Development and validation of three brief versions of the humor styles questionnaire.

The Humor Styles Questionnaire (HSQ) is a frequently applied measure of individual differences in humor usage. However, previous research found several of its items to be unreliable and to provide insufficient information. Its 32-item length may also hinder its application in contexts in which short measures are required to maintain participant motivation, for instance large-scale assessments.

Integrated multi-omics analyses and genome-wide association studies reveal prime candidate genes of metabolic and vegetative growth variation in canola.

Genome-wide association studies (GWAS) identified thousands of genetic loci associated with complex plant traits, including many traits of agronomical importance. However, functional interpretation of GWAS results remains challenging because of large candidate regions due to linkage disequilibrium. High-throughput omics technologies, such as genomics, transcriptomics, proteomics and metabolomics open new avenues for integrative systems biological analyses and help to nominate systems information supported (prime) candidate genes.

Natural plant growth and development achieved in the IPK PhenoSphere by dynamic environment simulation.

In plant science, the suboptimal match of growing conditions hampers the transfer of knowledge from controlled environments in glasshouses or climate chambers to field environments. Here we present the PhenoSphere, a plant cultivation infrastructure designed to simulate field-like environments in a reproducible manner. To benchmark the PhenoSphere, the effects on plant growth of weather conditions of a single maize growing season and of an averaged season over three years are compared to those of a standard glasshouse and of four years of field trials.

Integrated phenotyping of root and shoot growth dynamics in maize reveals specific interaction patterns in inbreds and hybrids and in response to drought.

In recent years, various automated methods for plant phenotyping addressing roots or shoots have been developed and corresponding platforms have been established to meet the diverse requirements of plant research and breeding. However, most platforms are only either able to phenotype shoots or roots of plants but not both simultaneously. This substantially limits the opportunities offered by a joint assessment of the growth and development dynamics of both organ systems, which are highly interdependent.

Cognitive dependencies and psychological health correlates of coherence in autobiographical reasoning.

Autobiographical reasoning is a process by which an individual creates a coherent life account. The degree of coherence in autobiographical reasoning has been related to psychological health correlates such as depression and self-esteem in previous studies, but with inconsistent findings. Similarly, the basic psychological processes required to achieve coherence have been previously studied with regard to intelligence, but infrequently, and also with mixed findings.

Analyzing the Factor Structure of the Toronto Empathy Questionnaire: Dimensionality, Reliability, Validity, Measurement Invariance and One-Year Stability of the German Version.

In the face of heterogeneity in the measurement of empathy, the (TEQ; Spreng et al., Journal of Personality Assessment, 91(1), 62-71 (2009)) was developed as a brief unidimensional tool by statistically forming a consensus from existing measures of the construct. The present study aimed to (1) validate a German version of the TEQ, and (2) contribute empirical evidence to the ongoing debate regarding a singular versus multidimensional factor structure of the TEQ.

Dynamic growth QTL action in diverse light environments: characterization of light regime-specific and stable QTL in Arabidopsis.

Plant growth is a complex process affected by a multitude of genetic and environmental factors and their interactions. To identify genetic factors influencing plant performance under different environmental conditions, vegetative growth was assessed in Arabidopsis thaliana cultivated under constant or fluctuating light intensities, using high-throughput phenotyping and genome-wide association studies. Daily automated non-invasive phenotyping of a collection of 382 Arabidopsis accessions provided growth data during developmental progression under different light regimes at high temporal resolution.

Novel exotic alleles of EARLY FLOWERING 3 determine plant development in barley.

EARLY FLOWERING 3 (ELF3) is an important regulator of various physiological and developmental processes and hence may serve to improve plant adaptation which will be essential for future plant breeding. To expand the limited knowledge on barley ELF3 in determining agronomic traits, we conducted field studies with heterogeneous inbred families (HIFs) derived from selected lines of the wild barley nested association mapping population HEB-25. During two growing seasons, phenotypes of nearly isogenic HIF sister lines, segregating for exotic and cultivated alleles at the ELF3 locus, were compared for 10 developmental and yield-related traits.

The microbial growth potential of antiscalants used in seawater desalination.

20 years since the first report on the biofouling potential of chemicals used for scale control, still, antiscalants with high bacterial growth potential are used in practice. Evaluating the bacterial growth potential of commercially available antiscalants is therefore essential for a rational selection of these chemicals. Previous antiscalant growth potential tests were conducted in drinking water or seawater inoculated with model bacterial species which do not represent natural bacterial communities.

Testing the social mindfulness paradigm: Longitudinal evidence of its unidimensionality, reliability, validity, and replicability in a sample of health care providers.

Objectives: Social mindfulness is a relatively new concept in psychological research and is attracting increasing attention. Recent studies have provided evidence of its relevance with regard to prosocial behavior and empathy, but also concerning individual well-being and psychological health. In such studies, social mindfulness has been assessed using the social mindfulness paradigm by Van Doesum and colleagues, which is the standard measure of social mindfulness to date.

The interplay of acceptance and effectiveness in intervention studies: the example of the empCARE training to reduce burnout and distress symptoms in health care providers.

Objective: Although almost every study evaluating psychological interventions includes the two components of acceptability and effectivity, their relationship is rarely examined. The current study closes this gap by performing secondary analyses of the intervention program 'empCARE'. The goal was to analyze the relationship between these two evaluation components.

Seawater Reverse Osmosis Performance Decline Caused by Short-Term Elevated Feed Water Temperature.

The shortage of fresh water resources has made the desalination of seawater a widely adopted technology. Seawater reverse osmosis (SWRO) is the most commonly used method for desalination. The SWRO process is energy-intensive, and most of the energy in SWRO is spent on pressurizing the seawater to overcome the osmotic barrier for producing fresh water.

Deep Learning Based Greenhouse Image Segmentation and Shoot Phenotyping (DeepShoot).

Background: Automated analysis of large image data is highly demanded in high-throughput plant phenotyping. Due to large variability in optical plant appearance and experimental setups, advanced machine and deep learning techniques are required for automated detection and segmentation of plant structures in complex optical scenes.

Methods: Here, we present a GUI-based software tool (DeepShoot) for efficient, fully automated segmentation and quantitative analysis of greenhouse-grown shoots which is based on pre-trained U-net deep learning models of arabidopsis, maize, and wheat plant appearance in different rotational side- and top-views.

Initial Description of the Genome of , a Halophile Grass.

The use of wild plant species or their halophytic relatives has been considered in plant breeding programs to improve salt and drought tolerance in crop plants. serves as halophyte model for identification and isolation of novel stress adaptation genes. perennial monocot grass, grows in damp or arid areas, often salt-impregnated places and wasteland in cultivated areas, can survive periodically high water salinity, and tolerate high salt concentrations in the soil up to 1,100 mM sodium chloride.

The influence of emotional salience on gaze behavior in low and high trait empathy: an exploratory eye-tracking study.

Previous studies have shown that situational factors like emotional salience are associated with higher subjective levels of state empathy. The present eye-tracking study explored whether gaze behavior varies as a function of emotional salience between individuals with low and high self-reported trait empathy. In a between-subjects design, we presented three social scene images in the context of different emotion conditions (Scene 1: neutral versus positive; Scene 2: neutral versus negative; Scene 3: positive versus negative) and assessed the dwell times of individuals with low versus high self-reported empathy (measured with the Toronto Empathy Questionnaire; TEQ).

Immunogenicity of standard and extended dosing intervals of BNT162b2 mRNA vaccine.

Extension of the interval between vaccine doses for the BNT162b2 mRNA vaccine was introduced in the United Kingdom to accelerate population coverage with a single dose. At this time, trial data were lacking, and we addressed this in a study of United Kingdom healthcare workers. The first vaccine dose induced protection from infection from the circulating alpha (B.

Detection of SARS-CoV-2 Derived Small RNAs and Changes in Circulating Small RNAs Associated with COVID-19.

Cleavage of double-stranded RNA is described as an evolutionary conserved host defense mechanism against viral infection. Small RNAs are the product and triggers of post transcriptional gene silencing events. Up until now, the relevance of this mechanism for SARS-CoV-2-directed immune responses remains elusive.

Fully-automated root image analysis (faRIA).

High-throughput root phenotyping in the soil became an indispensable quantitative tool for the assessment of effects of climatic factors and molecular perturbation on plant root morphology, development and function. To efficiently analyse a large amount of structurally complex soil-root images advanced methods for automated image segmentation are required. Due to often unavoidable overlap between the intensity of fore- and background regions simple thresholding methods are, generally, not suitable for the segmentation of root regions.

Symptomatic relief from at-home use of activated EVC001 probiotic in infants: results from a consumer survey on the effects on diaper rash, colic symptoms, and sleep.

The gut microbiome during infancy is directly involved in the digestion of human milk, development of the immune system, and long-term health outcomes. Gut dysbiosis in early life has been linked to multiple short-term ailments, from diaper dermatitis and poor stooling habits, to poor sleep and fussiness, with mixed results in the scientific literature on the efficacy of probiotics for symptom resolution. Despite the growing interest in probiotics for consumer use, observed symptomatic relief is rarely documented.

Dynamics of Maize Vegetative Growth and Drought Adaptability Using Image-Based Phenotyping Under Controlled Conditions.

Changes in climate are likely to have a negative impact on water availability and soil fertility in many maize-growing agricultural areas. The development of high-throughput phenotyping platforms provides a new prospect for dissecting the dynamic complex plant traits such as abiotic stress tolerance into simple components. The growth phenotypes of 20 maize ( L.