Inaccurate Synthesis Research Articles

Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data

Clustering is a crucial method for deciphering data structure and producing new information. Due to its significance in revealing fundamental connections between the human brain and events, it is essential to utilize clustering for cognitive research. Dealing with noisy data caused by inaccurate synthesis from several sources or misleading data production processes is one of the most intriguing clustering difficulties. Noisy data can lead to incorrect object recognition and inference. This research aims to innovate a novel clustering approach, named Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering (PNTS3FCM), to solve the clustering problem with noisy data using neutral and refusal degrees in the definition of Picture Fuzzy Set (PFS) and Neutrosophic Set (NS). Our contribution is to propose a new optimization model with four essential components: clustering, outlier removal, safe semi-supervised fuzzy clustering and partitioning with labeled and unlabeled data. The effectiveness and flexibility of the proposed technique are estimated and compared with the state-of-art methods, standard Picture fuzzy clustering (FC-PFS) and Confidence-weighted safe semi-supervised clustering (CS3FCM) on benchmark UCI datasets. The experimental results show that our method is better at least 10/15 datasets than the compared methods in terms of clustering quality and computational time.

Translesion DNA Polymerases

Living cells are continually exposed to DNA-damaging agents that threaten their genomic integrity. Although DNA repair processes rapidly target the damaged DNA for repair, some lesions nevertheless persist and block genome duplication by the cell's replicase. To avoid the deleterious consequence of a stalled replication fork, cells use specialized polymerases to traverse the damage. This process, termed "translesion DNA synthesis" (TLS), affords the cell additional time to repair the damage before the replicase returns to complete genome duplication. In many cases, this damage-tolerance mechanism is error-prone, and cell survival is often associated with an increased risk of mutagenesis and carcinogenesis. Despite being tightly regulated by a variety of transcriptional and posttranslational controls, the low-fidelity TLS polymerases also gain access to undamaged DNA where their inaccurate synthesis may actually be beneficial for genetic diversity and evolutionary fitness.

Mutator effects of overproducing DNA polymerase η (Rad30) and its catalytically inactive variant in yeast

DNA polymerase η synthesizes DNA in vitro with low fidelity. Based on this, here we report the effects of deletion or increased expression of yeast RAD30 gene, encoding for polymerase η (Pol η), on spontaneous mutagenesis in vivo. Deletion of RAD30 did not affect spontaneous mutagenesis. Overproduction of Rad30p was slightly mutagenic in a wild-type yeast strain and moderately mutagenic in strains with inactive 3′→5′-exonuclease of DNA polymerase ϵ or DNA mismatch repair. These data suggest that excess Rad30p reduces replication fidelity in vivo and that the induced errors may be corrected by exonucleolytic proofreading and DNA mismatch repair. However, the magnitude of mutator effect (only up to 10-fold) suggests that the replication fork is protected from inaccurate synthesis by Pol η in the absence of DNA damage. Overproduction of catalytically inactive Rad30p was also mutagenic, suggesting that much of the mutator effect results from indirect perturbation of replication rather than from direct misincorporation by Pol η. Moreover, while excess wild-type Pol η primarily induced base substitutions in the msh6 and pms1 strains, excess inactive Rad30p induced both base substitutions and frameshifts. This suggests that more than one mutagenic mechanism is operating when RAD30 is overexpressed.