Publications by authors named "J A Pawelczyk"

The present contribution provides norms for a database of Polish (a grammatical gender language) and English (a natural gender language) stereotypical gender and neutral nouns. A total of 317 participants rated the degree of stereotypically feminine and masculine features when presented with 240 nouns in each language. The stimuli were highly controlled for a number of psycholinguistic variables, including word frequency, the number of letters and syllables, age of acquisition, concreteness, valence, and arousal.

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Metabolic syndrome (MetS) has been linked to accelerated cognitive decline and Alzheimer's disease and related dementias (ADRDs) via cerebral small vessel disease (CSVD); however, this relation in MetS without overt cardiometabolic disease comorbidities is unknown and may represent a population amenable to preventative strategies. Our study aimed to determine risk profiles for neurocognitive decline and ADRDs in early-stage MetS with evidence of CSVD using the TriNetX electronic health records (EHR) research network. Patients aged 50 to 80 years old meeting MetS criteria were identified utilizing TriNetX data from 76 healthcare organizations.

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Younger women rely on altering cardiac output ( ) to regulate blood pressure (BP). In contrast, older women rely more on altering vascular tone. However, evidence suggests that the ability to alter systemic vascular conductance (SVC) is diminished in older women.

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The spread of drug-resistant tuberculosis strains has become a significant economic burden globally. To tackle this challenge, there is a need to develop new drugs that target specific mycobacterial enzymes. Among these enzymes, InhA, which is crucial for the survival of , is a key target for drug development.

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Introduction: The purpose of this study was to evaluate the perspectives of aspiring orthopaedic surgeons on artificial intelligence (AI), analysing how gender, AI knowledge, and technical inclination influence views on AI. Additionally, the extent to which recent AI advancements sway career decisions was assessed.

Materials And Methods: A digital survey was distributed to student members of orthopaedic societies across Germany, Switzerland, and Austria.

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