Publications by authors named "J Cieslak"

A 9-year-old Thoroughbred mare with normal external genitalia and regular oestrus symptoms was gynecologically examined prior to insemination. This primary examination revealed the presence of a hypoplastic uterus and the lack of normal ovaries, and the mare was therefore subjected to more detailed diagnostics, including endocrinological, genetic, and clinical tests. Diagnostic imaging with the use of ultrasonography and endoscopy confirmed the underdevelopment of internal genitalia.

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  • Gene expression differences can help identify genetic mechanisms linked to phenotypic traits, but dense tissues can dilute signals from rare cell types.
  • A study using polyA-selected RNA-seq was conducted on hair and skin samples from domestic horses to compare gene abundance and identify cell-type populations.
  • Results showed that non-invasive hair plucking enriched for specific keratin-related genes, while skin biopsies revealed different populations, suggesting that hair plucking could be a viable alternative to biopsies in certain research contexts.
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  • High-entropy ceramics, such as Sn(CoMgMnNiZn)O, show promising results for Li-ion batteries, demonstrating excellent cyclability and high specific capacity over 500 cycles.
  • The stable electrochemical performance is attributed to the formation of an amorphous matrix during initial lithiation, which maintains atomic scale cation disorder while preventing the formation of disruptive metallic phases.
  • This study highlights the potential for easy implementation of high-entropy materials in oxide anodes, showcasing their practicality for improving Li-ion battery technology.
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In diabetes mellitus (DM) treatment, Continuous Glucose Monitoring (CGM) linked with insulin delivery becomes the main strategy to improve therapeutic outcomes and quality of patients' lives. However, Blood Glucose (BG) regulation with CGM is still hampered by limitations of algorithms and glucose sensors. Regarding sensor technology, current electrochemical glucose sensors do not capture the full spectrum of other physiological signals, .

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