With the help of the one-dimensional random Potts-like model, we study the origins of fine structures observed on differential melting profiles of double-stranded DNA. We theoretically assess the effects of sequence arrangement on DNA melting curves through the comparison of results for random, correlated, and block sequences. Our results re-confirm the smearing out of the fine structure with the increase in chain length for all types of sequence arrangements and suggest that the fine structure is a finite-size effect. We have found that the fine structures on melting curves of chains comprised of blocks with correlations in sequence are more persistent, probably because of increased sequence disorder the blocks introduce. Many natural DNAs show a well-expressed fine structure of melting profiles. Our results for block sequences may suggest the existence of such sequence motifs in natural DNA sequences.

Additive manufacturing of copper alloys remains challenging due to their high reflectivity and thermal conductivity, which limit laser energy absorption and increase energy consumption. In this study, the laser powder bed fusion of a copper-based CuNi2.5SiCr alloy is demonstrated using low laser powers (67.2–100.8 W). Samples fabricated at 67.2 W achieved a relative density of 96.8%, with no significant improvement observed at higher laser powers. The post-process heat treatments were conducted at 750 °C, 850 °C, and 950 °C to investigate their influence on microstructure, hardness, electrical and thermal conductivity. Heat treatment at 850 °C resulted in the highest hardness, improved microstructural uniformity and 20 W/mK thermal conductivity, while the as-fabricated samples exhibited the highest electrical conductivity (1.07 × 10⁶ S/m).

The stability of heterogeneous biopolymers is extremely important for maintaining their conformation and carrying out biological functions. The conformational stability of these molecules determines their ability to preserve the necessary structure for biological processes such as catalytic activity, molecular recognition, and cellular interactions. Within the framework of the Generalized Model of the Polypeptide Chain (GMPC), the correlation function of a two-component heteropolymer has been computed as a function of distance, specifically the number of repeating units between two monomers in a helical state, using the method of super-matrices. Through this research, dependencies of the correlation function on the number of repeating units between monomers in the helical state have been obtained for several realizations and different temperatures, particularly around the melting temperature. An interpolation dependency has been proposed for the curve at the melting temperature, expressed as a sum of exponential and power functions. This model allows for a more accurate description of the correlation function behavior under critical conditions close to the melting temperature. The exponential part of the model reflects intense decay of correlation at short distances, while the power function describes mild changes at longer distances.