Irregular, mostly solitary pycnidial conidiomata, pale brown to black in color, were semi-immersed, and measured 150 to 220 µm by 120 to 200 µm. Hyaline, aseptate conidia, possessing smooth, thin walls, were oblong or ovoid in shape, measuring 44 to 67 by 20 to 28 micrometers (n=35), and each displayed 1 to 3 guttules. The morphological traits exhibited a concordance with the morphological traits of *Stagonosporopsis cucumeris*, as noted in the publication by Hou et al. (2020). Molecular identification of strains OM-rot-01 and OM-rot-02 involved extraction of genomic DNA, followed by amplification and sequencing of the ITS regions, the partial 28S rDNA (LSU) gene, the beta-tubulin (TUB2) gene, and the RNA polymerase II second largest subunit (RPB2) gene, referencing the protocols of White et al. (1990), Woudenberg et al. (2009), Vilgalys & Hester (1990), and Liu et al. (1999). A 99-100% homology was observed between the obtained sequences and S. cucumeris accessions, including MH858625, MH870265, MT005554, and MT018021. Accession numbers were given to the sequences and entered into GenBank. Analyses were performed on the ITS regions, OP788058 and OP788059; the 28S rDNA, OP788094 and OP788095; TUB2, OP810568 and OP810569; and RPB2, OP810570 and OP810571. The strains were determined to be S. cucumeris through phylogenetic analysis, using the neighbor-joining method, and incorporating concatenated ITS, LSU, TUB2, and RPB2 sequences. Six ripe, asymptomatic Oriental melon fruits were inoculated with OM-rot-01 to test its pathogenicity. 70% alcohol surface sterilization was performed on the fruit, which was then wounded using a sterile needle and cork borer. Subsequently, 5mm-diameter mycelial plugs were positioned in these wounds, and the fruit was covered with aluminum foil. This was then kept in a plastic container, ensuring relative humidity greater than 90%, at a temperature of 25°C. Fruit not subjected to wounding were inoculated and cultured using a similar approach, while fruit inoculated with PDA plugs were designated as controls (n=3). Inoculation lasted for three days, at the end of which the aluminum foil was eliminated, and other conditions remained constant throughout. Within six days, fruit rot, typical of the internal variety, appeared in both wounded and uninjured fruits; the rot spread, transitioning from brown to black, into the fruit's interior, leaving control fruits unaffected. Fungi from lesions, morphologically identical to OM-rot-01, were confirmed via molecular analysis, fulfilling Koch's postulates, and the pathogenicity of the isolate was tested in triplicate. Although Hou et al. (2020) identified S. cucumeris as causing a canker on Cucumis sativus in the Netherlands, no other reports document its role as a pathogen on similar Cucumis species elsewhere. This report, to our understanding, details the first instance of S. cucumeris instigating internal fruit rot within Oriental melons grown in Korea. The threat posed by this disease to melon production underscores the importance of precise pathogen identification for the development of sustainable management.Pinto (2005) identified the soursop (Annona muricata L., a species of the Annonaceae family) as a small tropical fruit tree that is native to South America. As a primary ingredient in many pastries, the pulp of these fruits is widely used, while even young fruits are consumed as a vegetable. In the commercial nursery of Juan Jose Rios (25°45'20"N 108°50'21"W), Ahome, Sinaloa, fifty soursop plants exhibited leaf spot symptoms during June 2022. The disease's incidence was 75% and its severity only 12%. Small black necrotic spots, which were round in shape, expanded until they reached a diameter of 6 mm, their centers changing to brown or gray. Colloquial potato dextrose agar (PDA) was utilized for isolating fungi, resulting in the production of colonies that resembled Colletotrichum. Five isolated strains, purified through single-spore culture techniques, exhibited just one identifiable morphotype. A randomly chosen isolate was the focus of pathogenicity tests, coupled with comprehensive morphological and molecular characterization studies. At the National Polytechnic Institute's Biotic Products Development Center, the isolate was lodged in the Culture Collection of Phytopathogenic Fungi, accession number. IPN 130102, a crucial element in this intricate system, demands meticulous attention to detail. At 25 degrees Celsius, colonies in PDA exhibit growth rates ranging from 90 to 140 millimeters per day. Fourteen days later, the colony presented an olive-gray color, marked by orange conidial masses. Conidia (n=100), hyaline, aseptate, cylindrical, and straight, possessed rounded ends, measuring 115-185 micrometers in length and 35-55 micrometers in width. Melanized appressoria, characterized by a circular or oval shape, were measured as ranging from 60 to 40 micrometers (n=20). Based on the morphological characteristics examined, the isolate was provisionally classified within the Colletotrichum gloeosporioides species complex, as described by Weir et al. (2012). Genomic DNA extraction was crucial to confirm the molecular structure. This involved the amplification and sequencing of the internal transcribed spacer (ITS) region (White et al., 1990), as well as partial actin (ACT) gene (Weir et al., 2012) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene sequences. GenBank received the following sequence depositions: ITS with accession number OQ606966, ACT with OQ617292, and GAPDH with OQ617293. Employing published sequences of the *C. gloeosporiodes* species complex, a phylogenetic tree was developed in line with the methodology established by Talhinhas and Baroncelli (2021); this analysis placed isolate IPN 130102 within the same clade as the ex-type culture of *C. siamense* (ICMP18578) and *C. pandanicola*. C. pandanicola was recorded only as an epiphyte on the leaves of Pandanus species, signifying its particular habitat as an epiphytic fungus. ldc000067 inhibitor The Pandanaceae family, as detailed in the study by Tibpromma et al. (2018), lacks any further reports of this fungus causing plant disease in Pandanus or any other plant. Accordingly, the IPN 130102 isolate is categorized as belonging to the species *C. siamense*. Using a conidial suspension (10⁵ conidia/mL), four healthy soursop plants were treated to determine pathogenicity; in parallel, two control plants received sterile distilled water. All plants remained in a wet chamber, where the conditions were kept at 28 degrees Celsius and 85% relative humidity for 48 hours. Observing the characteristic symptoms of the disease 14 days after inoculation, we noted a stark difference from the continuing health of the control group. The pathogenicity test was executed twice, and the outcomes were identical in both instances. The recovered fungus's morphology, in perfect accord with Koch's postulates, precisely replicated the morphology of the originally isolated fungus from the diseased leaves. Prior research (Costa et al., 2019) has highlighted the occurrence of Colletotrichum siamense on Anona species in Brazil. This report, to our knowledge, details the inaugural occurrence of Colletotrichum siamense triggering leaf spot symptoms on Annona muricata in Mexico. Further research is required to devise effective monitoring and control systems for soursop leaf spots.Biomedical named entity recognition (NER) is essential for extracting pertinent information from biomedical documents. Although this is the case, a considerable quantity of these applications require NER models to process at the document level instead of at the sentence level. Employing a sentence model to create a document model is not a trivial endeavor; this presents a complex challenge. Document NER models, despite their ability to make consistent predictions, fall short of satisfying the needs and expectations of researchers and practitioners. To determine the reasons for our inconsistent predictions, a detailed investigation into the matter is underway. Our investigation suggests that the employment of adjectives and prepositions inside entities might be a factor in the inconsistency of labels. Within this article, we present ConNER, a method for enhancing the consistency of labels used for modifiers, such as adjectives and prepositions. Representations of biomedical entities are improved by ConNER, which refines the labels of these modifiers. The effectiveness of our method is illustrated through its application to four prominent biomedical Named Entity Recognition datasets. The F1 score on three data sets showcases a significant improvement over the preceding top-performing model. Two distinct data sets serve as benchmarks for our methodology, which yields an impressive 75%-86% absolute boost to the F1 score. Our ConNER method effectively handles datasets with inherently inconsistent labels, as our findings clearly indicate. Employing qualitative analysis, we illustrate how our method enhances the NER model's predictive consistency.Our code and resources, including documentation, are all obtainable at the GitHub address: https://github.com/dmis-lab/ConNER/.At https://github.com/dmis-lab/ConNER/, you will find our code and resources.Carbon dioxide (CO2) elimination from gas mixtures utilizing adsorption technology represents a viable pathway to achieve crucial goals of energy security and environmental sustainability. In currently reported CO2-selective sorbents, the selectivity of CO2 is severely limited by both the comparable physicochemical properties of CO2 to other gases and the co-adsorption behavior. By confronting the problem, we establish a bio-inspired design scheme and present a strong, microporous metal-organic framework (MOF) featuring remarkable [Mn86] nanocages. Strong coordination and dipole-dipole interactions are uniquely generated by the presence of enzyme-like confined pockets, enabling CO2 molecules to fit within the pocket and barring access to other gas molecules. Accordingly, this MOF exhibits the capability of preferentially removing CO2 from a variety of gas mixtures, displaying exceptionally high selectivities for the separation of CO2 from CH4 and N2.