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A total of 409 persons were recruited to the study 45.5% were in the 20-39 years' age category; 57.9% were living in houses with 6-10 persons; and 29.1% had at most secondary school education. In the majority (65.8%) of the households, the socioeconomic status was low (P 60 years) (OR 6.31, CI 1.09-36.36); type of bathroom (OR 3.52, CI 1.35-9.20); using water-based air conditioner (OR 6.90, CI 1.78-26.85) and previous infection of any household member with dengue (OR 28.73, CI 3.31-249.63). Our findings suggest that Kassala state is facing an increasing occurrence of dengue and emphasizes the need for developing appropriate interventions to address the identified risk factors, and place control programs into actions. Establishment of routine dengue epidemiological and entomological surveillance, and climate warning systems will contribute to early warning and timely detection and response to emerging outbreaks.[This corrects the article DOI 10.1371/journal.pbio.3000763.].The diversity of T-cell receptor (TCR) repertoires is achieved by a combination of two intrinsically stochastic steps random receptor generation by VDJ recombination, and selection based on the recognition of random self-peptides presented on the major histocompatibility complex. find more These processes lead to a large receptor variability within and between individuals. However, the characterization of the variability is hampered by the limited size of the sampled repertoires. We introduce a new software tool SONIA to facilitate inference of individual-specific computational models for the generation and selection of the TCR beta chain (TRB) from sequenced repertoires of 651 individuals, separating and quantifying the variability of the two processes of generation and selection in the population. We find not only that most of the variability is driven by the VDJ generation process, but there is a large degree of consistency between individuals with the inter-individual variance of repertoires being about ∼2% of the intra-individual variance. Known viral-specific TCRs follow the same generation and selection statistics as all TCRs.[This corrects the article DOI 10.1371/journal.pbio.3000870.].Researchers face many, often seemingly arbitrary, choices in formulating hypotheses, designing protocols, collecting data, analyzing data, and reporting results. Opportunistic use of "researcher degrees of freedom" aimed at obtaining statistical significance increases the likelihood of obtaining and publishing false-positive results and overestimated effect sizes. Preregistration is a mechanism for reducing such degrees of freedom by specifying designs and analysis plans before observing the research outcomes. The effectiveness of preregistration may depend, in part, on whether the process facilitates sufficiently specific articulation of such plans. In this preregistered study, we compared 2 formats of preregistration available on the OSF Standard Pre-Data Collection Registration and Prereg Challenge Registration (now called "OSF Preregistration," http//osf.io/prereg/). The Prereg Challenge format was a "structured" workflow with detailed instructions and an independent review to confirm completeness; the "Standard" format was "unstructured" with minimal direct guidance to give researchers flexibility for what to prespecify. Results of comparing random samples of 53 preregistrations from each format indicate that the "structured" format restricted the opportunistic use of researcher degrees of freedom better (Cliff's Delta = 0.49) than the "unstructured" format, but neither eliminated all researcher degrees of freedom. We also observed very low concordance among coders about the number of hypotheses (14%), indicating that they are often not clearly stated. We conclude that effective preregistration is challenging, and registration formats that provide effective guidance may improve the quality of research.

The rapid spread of coronavirus disease 2019 (COVID-19) revealed significant constraints in critical care capacity. In anticipation of subsequent waves, reliable prediction of disease severity is essential for critical care capacity management and may enable earlier targeted interventions to improve patient outcomes. The purpose of this study is to develop and externally validate a prognostic model/clinical tool for predicting COVID-19 critical disease at presentation to medical care.

This is a retrospective study of a prognostic model for the prediction of COVID-19 critical disease where critical disease was defined as ICU admission, ventilation, and/or death. The derivation cohort was used to develop a multivariable logistic regression model. Covariates included patient comorbidities, presenting vital signs, and laboratory values. Model performance was assessed on the validation cohort by concordance statistics. The model was developed with consecutive patients with COVID-19 who presented to University gnostication of critical care needs.Signal transduction pathways are intricately fine-tuned to accomplish diverse biological processes. An example is the conserved Ras/mitogen-activated-protein-kinase (MAPK) pathway, which exhibits context-dependent signaling output dynamics and regulation. Here, by altering codon usage as a novel platform to control signaling output, we screened the Drosophila genome for modifiers specific to either weak or strong Ras-driven eye phenotypes. Our screen enriched for regions of the genome not previously connected with Ras phenotypic modification. We mapped the underlying gene from one modifier to the ribosomal gene RpS21. In multiple contexts, we show that RpS21 preferentially influences weak Ras/MAPK signaling outputs. These data show that codon usage manipulation can identify new, output-specific signaling regulators, and identify RpS21 as an in vivo Ras/MAPK phenotypic regulator.Objetivo Realizar una revisión de la literatura actualizada, abordando los aspectos clínicos y epidemiológicos más relevantes asociados con la sobrevida del carcinoma hepatocelular y su relación con las estrategias terapéuticas que han demostrado un mejor resultado. Método Se realizó una búsqueda bibliográfica empleando las bases de datos electrónicas Medline, Embase, Springerlink y PubMed para identificar documentos publicados desde el 1 de enero de 1985 hasta agosto de 2020. Resultados Se analizaron el abordaje y el manejo quirúrgico del carcinoma hepatocelular en todo el mundo, comparando las dos principales estrategias terapéuticas que reportan mayor porcentaje de sobrevida global. Conclusiones En el protocolo de estudio del carcinoma hepatocelular es necesario un enfoque multidisciplinario. Los pacientes con carcinoma hepatocelular avanzado se beneficiarían de una estrategia multimodal individualizada que consista en resección y en otros casos con el trasplante hepático.