78 research outputs found
Research on gender bias receives less attention than research on other types of bias
Bias against women in academia is well-documented. Not only are female scientists underrepresented in academic institutions, particularly in higher ranks, but there are also certain studies that include only male participants, thereby producing biased knowledge. Magdalena Formanowicz, Aleksandra Cislak and Tamar Saguy have studied another form of gender bias among scientists: bias against research on gender bias. Research on gender bias is found to be funded less often and more likely to be published in journals widely considered to be less prestigious
âMake it happen!â Verbs as markers of agency increase message effectiveness
Verbs may be attributed to higher agency than other grammatical categories. In Study 1, we confirmed this hypothesis with archival datasets comprising verbs (N = 950) and adjectives (N = 2115). We then investigated whether verbs (vs. adjectives) increase message effectiveness. In three experiments presenting potential NGOs (Studies 2 and 3) or corporate campaigns (Study 4) in verb or adjective form, we demonstrate the hypothesized relationship. Across studies, (overall N = 721) grammatical agency consistently increased message effectiveness. Semantic agency varied across contexts by either increasing (Study 2), not affecting (Study 3), or decreasing (Study 4) the effectiveness of the message. Overall, experiments provide insights in to the meta-semantic effects of verbs â demonstrating how grammar may influence communication outcomes
A tiling microarray for global analysis of chloroplast genome expression in cucumber and other plants
Plastids are small organelles equipped with their own genomes (plastomes). Although these organelles are involved in numerous plant metabolic pathways, current knowledge about the transcriptional activity of plastomes is limited. To solve this problem, we constructed a plastid tiling microarray (PlasTi-microarray) consisting of 1629 oligonucleotide probes. The oligonucleotides were designed based on the cucumber chloroplast genomic sequence and targeted both strands of the plastome in a non-contiguous arrangement. Up to 4 specific probes were designed for each gene/exon, and the intergenic regions were covered regularly, with 70-nt intervals. We also developed a protocol for direct chemical labeling and hybridization of as little as 2 micrograms of chloroplast RNA. We used this protocol for profiling the expression of the cucumber chloroplast plastome on the PlasTi-microarray. Owing to the high sequence similarity of plant plastomes, the newly constructed microarray can be used to study plants other than cucumber. Comparative hybridization of chloroplast transcriptomes from cucumber, Arabidopsis, tomato and spinach showed that the PlasTi-microarray is highly versatile
Left Out â feelings of social exclusion incite individuals with high conspiracy mentality to reject complex scientific messages
We investigated linguistic factors that affect peoplesâ trust in science and their commitment to follow evidence-based recommendations, crucial for limiting the spread of COVID-19. In an experiment (Nâ=â617), we examined whether complex (vs. simple) scientific statements on mask-wearing can decrease trust in information and its sources, and hinder adherence to behavioral measures. In line with former research on social exclusion through complex language, we also examined whether complexity effects are mediated via feelings of social exclusion. Results indicate that negative effects of text complexity were present, but only for participants with a strong conspiracy mentality. This finding informs how to increase trust in science among individuals with a high conspiracy mentality, a population commonly known for its skepticism towards scientific evidence
Gender and language in online job advertisements - a cross-cultural study
The aim of this project is to investigate the use of gender-fair language from a cross-linguistic perspective. Specifically, we are interested in whether the use of gender-fair language correlates with socio-economic rankings of gender equality and with structural features of a language. We decided to analyze online job advertisements, as they reflect common language use and can easily be compared across languages. Moreover, formulations in job advertisements have been shown to impact personnel selection via the way target groups are addressed and referred to. In the present study we examined to what extent job advertisements are formulated in a gender-fair way and how this correlates with factors such as language, culture as well as status and gender-typicality of the job advertised.
The data consisted of job advertisements published online in four European countries which occupy different positions in socio-economic rankings of gender equality (World Economic Forum, 2011): Switzerland (10), Austria (rank 34), Poland (42), and Czech Republic (75). We randomly selected 100 job advertisements from four lines of business characterized by different proportions of female employees â steels/metals, science, restaurants/food services, and health care. The advertisements were analyzed with regard to the linguistic form of the job title and the remaining text; we also noted indicators of job status, reference to gender-typical traits, pictures of women/men and other information which might be relevant to the use of gender-fair language (e.g., equal opportunity policies).
A first analysis of the data indicates that the phrasing of job titles is closely related to the gender-typicality of a profession. While mainly gender-fair forms are used in healthcare, masculine forms are used more often in the domain of steels and metals. Feminine forms only, however, are almost never used. Cultural differences as well as correlations with associated variables will be discussed
Proteomic Profiling of Leukocytes Reveals Dysregulation of Adhesion and Integrin Proteins in Chronic Kidney Disease-Related Atherosclerosis
A progressive loss of functional nephrons defines chronic kidney disease (CKD). Complications related to cardiovascular disease (CVD) are the principal causes of mortality in CKD; however, the acceleration of CVD in CKD remains unresolved. Our study used a complementary proteomic approach to assess mild and advanced CKD patients with different atherosclerosis stages and two groups of patients with different classical CVD progression but without renal dysfunction. We utilized a label-free approach based on LC-MS/MS and functional bioinformatic analyses to profile CKD and CVD leukocyte proteins. We revealed dysregulation of proteins involved in different phases of leukocytes' diapedesis process that is very pronounced in CKD's advanced stage. We also showed an upregulation of apoptosis-related proteins in CKD as compared to CVD. The differential abundance of selected proteins was validated by multiple reaction monitoring, ELISA, Western blotting, and at the mRNA level by ddPCR. An increased rate of apoptosis was then functionally confirmed on the cellular level. Hence, we suggest that the disturbances in leukocyte extravasation proteins may alter cell integrity and trigger cell death, as demonstrated by flow cytometry and microscopy analyses. Our proteomics data set has been deposited to the ProteomeXchange Consortium via the PRIDE repository with the data set identifier PXD018596.Peer reviewe
Deeper insight into chronic kidney disease-related atherosclerosis: comparative proteomic studies of blood plasma using 2DE and mass spectrometry
Hepatitis C virus quasispecies in chronically infected children subjected to interferonâribavirin therapy
Accumulating evidence suggests that certain features of hepatitis C virus (HCV), especially its high genetic variability, might be responsible for the low efficiency of anti-HCV treatment. Here, we present a bioinformatic analysis of HCV-1a populations isolated from 23 children with chronic hepatitis C (CHC) subjected to interferonâribavirin therapy. The structures of the viral quasispecies were established based on a 132-amino-acid sequence derived from E1/E2 protein, including hypervariable region 1 (HVR1). Two types of HCV populations were identified. The first type, found in non-responders, contained a small number of closely related variants. The second type, characteristic for sustained responders, was composed of a large number of distantly associated equal-rank variants. Comparison of 445 HVR1 sequences showed that a significant number of variants present in non-responding patients are closely related, suggesting that certain, still unidentified properties of the pathogen may be key factors determining the result of CHC treatment
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