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Recognizing seven-segment digits is a specific task within the broader field of text detection and recognition. Seven-segment digits are commonly used for displaying numerical information in various applications. However, accurately detecting and recognizing these digits can be challenging due to factors like LED bleeding, glare, and the presence of printed text alongside the digits. The experiment described in this paper aims to identify the most effective models for detecting and recognizing texts and assess their accuracy and performance under different environmental conditions. The experiment reveals that DBNet from PaddleOCR is the best model for text detection, while PARSeq has the best accuracy for recognizing seven-segment digits on the 7Seg dataset. PARSeq also performs well on a custom dataset with lower LED ratios but struggles with glare conditions. Excluding special characters improves accuracy in all conditions.

We present a complete genome of Serratia marcescens D1_6 isolated from peat swamp forest. The complete genome for the isolate D1_6 was constructed using data from Oxford Nanopore Technologies and Illumina. The genome of D1_6 has a total length of 4,996,151 bp, comprising a chromosome and a plasmid., Competing Interests: The authors declare no conflict of interest.

X-chromosome short tandem repeats (X-STRs) are useful for human identification, especially in complex kinship scenarios. Since forensic statistical parameters vary among populations and the X-STRs population data for the diverse population of Peninsular Malaysia's are unavailable, this attempt for Indians (n = 201) appears forensically relevant to support the 12 X-STRs markers' evidential value for human identification in Malaysia. The Qiagen Investigator® Argus X-12 QS kit showed that DXS10135 was the most polymorphic locus with high genetic diversity, polymorphism information richness, heterozygosity, and exclusion power. Based on allele frequencies, the strength of discrimination and mean exclusion chance (MEC Krüger , MEC Kishida , MEC Desmarais , and MEC DesmaraisDuo ) values for the Malaysian Indians were ≥0.999997790686228. As for haplotype frequencies, the overall discrimination power and mean exclusion probability (MEC Krüger , MEC Kishida , MEC Desmarais , and MEC DesmaraisDuo ) were ≥0.9999984801951. The genetic distance, neighbor-joining phylogenetic tree, and principal component analysis also supported the evidential value of the 12 X-STRs markers for forensic practical caseworks in Malaysia., Competing Interests: Declaration of competing interest The authors declare that there is no conflict of interest regarding the publication of this article., (Copyright © 2024 Elsevier B.V. All rights reserved.)

SAG21/LEA5 is an unusual late embryogenesis abundant protein in Arabidopsis thaliana, that is primarily mitochondrially located and may be important in regulating translation in both chloroplasts and mitochondria. SAG21 expression is regulated by a plethora of abiotic and biotic stresses and plant growth regulators indicating a complex regulatory network. To identify key transcription factors regulating SAG21 expression, yeast-1-hybrid screens were used to identify transcription factors that bind the 1685 bp upstream of the SAG21 translational start site. Thirty-three transcription factors from nine different families bound to the SAG21 promoter, including members of the ERF, WRKY and NAC families. Key binding sites for both NAC and WRKY transcription factors were tested through site directed mutagenesis indicating the presence of cryptic binding sites for both these transcription factor families. Co-expression in protoplasts confirmed the activation of SAG21 by WRKY63/ABO3, and SAG21 upregulation elicited by oligogalacturonide elicitors was partially dependent on WRKY63, indicating its role in SAG21 pathogen responses. SAG21 upregulation by ethylene was abolished in the erf1 mutant, while wound-induced SAG21 expression was abolished in anac71 mutants, indicating SAG21 expression can be regulated by several distinct transcription factors depending on the stress condition., (© 2024. The Author(s).)