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The current study is the identification and isolation dermatophyte species in clinical isolates by both Sabouraud’s Dextrose Agar (SDA) and on Dermatophyte Test Medium (DTM). Clinical specimens of hair, nails and skin scales were collected from patients with dermatophytosis and submitted to direct microscopic examination after immersion in 20% of potassium hydroxide solution. The clinical specimens were cultured on SDA containing chloramphenicol and cycloheximide, and on DTM. Tinea corporis showed the highest prevalent dermatophyte infection among patients (26.7%), followed by Tinea pedis (23.3%), whereas Tinea manuum exhibited the lowest fungal infection (6.7 %). Rural areas revealed the highest prevalence of dermatophyte infection (70.0 %) in comparison to 30.0% in urban areas. Based on the conventional laboratory methods, 30 clinical isolates of dermatophytes showed positive cultures which belong to three genera (Trichophyton, Microsporum and Epidermophyton). Trichophyton mentagrophytes was the most common species (21.7%) isolated among 30 positive dermatophytes, followed by Epidermophyton flocosum (17.4%), then Trichophyton bullosum and Trichophyton tonsurans (13.0%).

Background/objectives: Childhood maltreatment has been linked to numerous adverse outcomes in adulthood, including problem substance use. However, not all individuals exposed to childhood maltreatment develop substance use problems, indicating the role of other factors in influencing this outcome. Past work suggests that adverse early life experiences, including childhood maltreatment, lead to neurobiological changes in frontolimbic functions that, in turn, result in altered stress and reward responses, heightened impulsivity, affect dysregulation, and, ultimately, increased risk for maladaptive behaviors such as substance use. The aim of this preliminary investigation using cross-sectional data was to test associations between these factors in the relationship between childhood maltreatment and alcohol use problems in a sample of emerging adults., Methods: Emerging adults (18-30 years old) who identified as regular drinkers (i.e., drinking at least 2-4 times in the past month) were recruited from a crowd-sourcing platform (Prolific) as well as community samples. Participants completed online standardized questionnaires assessing reward sensitivity and responsiveness, impulsivity, emotion regulation, and alcohol consequences., Results: Path analyses demonstrated good fit for the data (SRMR = 0.057, RMSEA = 0.096, 90% CI [0.055, 0.142], CFI = 0.957). Childhood maltreatment was associated with reward responsiveness (β = -0.026, Z = -4.222, p < 0.001) and emotion dysregulation (β = 0.669, Z = 9.633, p < 0.001), which in turn was associated with urgency and, subsequently, alcohol consequences (β = 0.758, Z = 7.870, p < 0.001)., Conclusions: Although these findings are preliminary, the current study is one of the first to test a comprehensive model addressing the relationship between childhood maltreatment and alcohol use problems. The findings have the potential to inform treatment strategies that target motivation and goal-directed action for reducing and managing consequences associated with childhood maltreatment. Future research should test the model using longitudinal data to address the limitations of a cross-sectional study and assess temporal associations between constructs.

With the rising momentum according to the environmentalist voices seeking climate justice for more equity and the importance of encouraging environmental justice mechanisms and tools, in this perspective, the objective of this study is to analyze in depth the substantial role of natural resources abundance in the environmental inequality issue. For this purpose, this study adopted the eXtreme Gradient Boosting (XGBoost), LightGBM, Natural Gradient Boosting (NGBoost), Hybrid hybrid upper confidence bound-long short-term memory-Genetic Algorithm (UCB-LSTM-GA), and the Shapley Additive Explanation (SAE) machine learning algorithms in the context of 21 emerging economies spanning the years 2001 to 2019. The empirical results reveal that natural resource abundance, foreign trade, and foreign direct investment inflows contribute all to higher levels of environmental inequality. However, higher levels of per capita income, gross fixed capital formation, and institutional quality contribute to lower levels of environmental inequality. Addressing climate justice holistically through an integrated supranational vision is significant since every step taken toward eradicating environmental racism matters., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Using monthly data, this article examines the influence of Covid-19 on poverty, inequality, well-being, and environmental quality for a sample of 14 African economies from 2018 to 2020. To do so, we employ a GMM approach to look at the influence of the pandemic on achieving the SDGs in Africa. According to our empirical findings, the pandemic significantly impacts poverty and pollution levels. The results show also that the pandemic coefficient considerably influences the inequality proxy. Due to social exclusion and inequities, these economies must embrace an integrated socio-economic vision to overcome the multi-faceted pandemic externalities and build more resilient economies.., Competing Interests: Conflict of interestWe attest that in submitting our paper for your journal for publication, there is no potential conflict of Interest including financial, personal or other relationships with other people, or organizations within three years of beginning the submitted work that could inappropriately influence, or be perceived to influence, their work., (© European Association of Development Research and Training Institutes (EADI) 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Pantoea bacteria species cause human animal infections, and contribute to soil and aquatic environmental pollution. A novel bacteriophage, vB&#95;Pd&#95;C23 was isolated from a Tunisian wastewater system and represents the first new phage infecting P. dispersa. Lysis kinetics, electron microscopy, and genomic analyses revealed that the vB&#95;Pd&#95;C23 phage has a head diameter of 50 nm and contractile tail dimensions of 100 nm by 23 nm; vB&#95;Pd&#95;C23 has a linear double-stranded DNA genome consisting of 44,714-bp and 49.66% GC-content. Predicted functions were assigned to 75 open reading frames (ORFs) encoding proteins and one tRNA, the annotation revealed that 21 ORFs encode for unique proteins of yet unknown function with no reliable homologies. This indicates that the new species vB&#95;Pd&#95;C23 exhibits novel viral genes. Phylogenetic analysis along with comparative analyses generating nucleotide identity and similarity of vB&#95;Pd&#95;C23 whole genome suggests that the phage is a candidate for a new genus within the Caudoviricetes Class. The characteristics of this phage could not be attributed to any previous genera recognized by the International Committee on Taxonomy of Viruses (ICTV)., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Little is known about the diet quality of racial minority children during the summertime when school is out of session and there is risk of accelerated weight gain. Project Summer Weight and Environmental Assessment Trial was an observational, prospective study exploring child weight status and health trends during the summer., Objective: The objective of this substudy of Project Summer Weight and Environmental Assessment Trial was to examine the diet quality of elementary-aged racial minority children during the summertime vs school year., Design: This observational, prospective substudy was conducted from June to September 2017., Participants/setting: Students in prekindergarten through fifth grade were recruited from 2 schools located in low-income urban neighborhoods of Columbus, OH, with a predominantly Black population. Sixty-two children (39 families) enrolled., Main Outcome Measures: Twenty-four-hour dietary recalls (2 weekdays, 1 weekend day) were collected at 3 time points: (1) beginning of summer (T0); (2) midsummer (T1); and (3) beginning of subsequent school year (T2). Healthy Eating Index (HEI)-2015 total and component scores were calculated to assess diet quality. Daily calories (kilocalories) and servings of types of foods within food groups were also assessed., Statistical Analyses: Repeated measures analysis of variance and Tukey's post hoc analyses were performed., Results: Retention was 76% (n = 47). Mean age was 7.0 ± 0.3 years, 79% (n = 37) were African American, and 58% of participants (n = 26) reported annual household incomes ≤$20,000. HEI-2015 total score was significantly lower during the summertime vs school year (P = .02). HEI-2015 component score for whole fruits (P = .04) was also lower in the summer vs school year, along with total vegetables (P < .001), greens and beans (P < .001) specifically, and legumes (P < .001). The HEI-2015 component score for added sugars (P = .04) was significantly lower in the summer vs the school year as well, indicating a higher intake of added sugars during the summer. On the other hand, whole grains were higher during the summer vs school year (P < .01), specifically snack chips (P = .03) and popcorn (P < .01). Total daily calories did not differ between the summertime vs school year., Conclusions: In a small sample of predominantly racial minority school-aged children from low-income households, child diet quality is better during the school year vs summer. Future research is needed to determine if and to what extent summer vs school year diet quality may be associated with differences in weight status., (Copyright © 2021 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.)

The climate change issue becomes more challenging with the increasing pace of urbanization in Africa. For this purpose, we attempt to examine the relationship urbanization and CO 2 emissions by applying the panel smooth transition regression model for 47 African countries during the spanning time 1990-2014. Our results reveal that the nexus between urbanization and CO 2 emissions is non-linear. Our highlights recorded a monotonic nexus confirming the existence of the EKC hypothesis for the urbanization. In addition, our empirical results determine the threshold of the transition which takes the value of 42.01. Moreover, the estimated slope parameter implies that the nexus between urbanization and CO 2 emissions smoothly switches from one regime to another regime but relatively rapid. Hence, it is extremely important to understand this nexus to take seriously climate change vulnerabilities. Indeed, the African economies are invited to establish efficiently the low-carbon and reduce the spatial heterogeneity to generate the green development path and provide effective structures for a platform for sustainable cities.

Virus infections of insects can easily stay undetected, neither showing typical signs of a disease, nor being lethal. Such a stable and most of the time covert infection with Phthorimaea operculella granulovirus (PhopGV) was detected in a Phthorimaea operculella laboratory colony, which originated from Italy (Phop-IT). This covert virus (named PhopGV-R) was isolated, purified and characterized at the genetic level by full genome sequencing. Furthermore, the insect colony Phop-IT was used to study the crowding effect, double infection with other PhopGV isolates (CR3 and GR1), and co-infection exclusion. An infection with a second homologous virus (PhopGV-CR3) activated the covert virus, while a co-infection with another virus isolate (PhopGV-GR1) led to its suppression. This study shows that stable virus infections can be common for insect populations and have an impact on population dynamics because they can suppress or enable co-infection with another virus isolate of the same species., Competing Interests: The authors declare no conflict of interest.

Twelve complete genome sequences of Phthorimaea operculella granulovirus (PhopGV) isolates from four different continents (Africa, South America, Asia and Europe) were analysed after Illumina next-generation sequencing (NGS). The isolates have a circular double-stranded DNA genome that is 118 355 to 119 177 bp in length and all of them encode 130 open reading frames (ORFs). Analysis of single-nucleotide polymorphisms (SNPs) revealed a unique set of SNP positions for every tested isolate. The genome sequences of the investigated PhopGV isolates were classified into a new system of four (1-4) groups according to the presence of group-specific SNPs as well as insertions and deletions. These genome groups correlated with phylogenetic lineages inferred from minimum-evolution trees of the whole-genome consensus nucleotide sequences. All members of group 3 originated from the Mediterranean area, whereas the geographical origin and the group assignment did not correlate for isolates belonging to genome groups 1, 2 or 4. The high degree of coverage facilitated the determination of variant nucleotide frequencies. We conclude that the geographical isolates of PhopGV are genetically highly similar. On the other hand, they were rarely genetically homogenous and in most cases appeared to be mixtures of multiple genotypes.

The sequence alignments of five Tunisian isolates of Prunus necrotic ringspot virus (PNRSV) were searched for evidence of recombination and diversifying selection. Since failing to account for recombination can elevate the false positive error rate in positive selection inference, a genetic algorithm (GARD) was used first and led to the detection of potential recombination events in the coat protein-encoding gene of that virus. The Recco algorithm confirmed these results by identifying, additionally, the potential recombinants. For neutrality testing and evaluation of nucleotide polymorphism in PNRSV CP gene, Tajima's D, and Fu and Li's D and F statistical tests were used. About selection inference, eight algorithms (SLAC, FEL, IFEL, REL, FUBAR, MEME, PARRIS, and GA branch) incorporated in HyPhy package were utilized to assess the selection pressure exerted on the expression of PNRSV capsid. Inferred phylogenies pointed out, in addition to the three classical groups (PE-5, PV-32, and PV-96), the delineation of a fourth cluster having the new proposed designation SW6, and a fifth clade comprising four Tunisian PNRSV isolates which underwent recombination and selective pressure and to which the name Tunisian outgroup was allocated.