A proposed framework for defining the relationship between complexity, project categorization, and project risk management: Case study of a medical company in Morocco.

Recent financial crises have highlighted the utmost importance of implementing risk management practices, as exemplified by the profound repercussions of the COVID-19 pandemic. Moreover, we witnessed the rise of various initiatives within the medical sector, specifically in the fields of biomedicine, hospitals, and pharmaceuticals, across Africa, with a notable emphasis on Morocco. The government in Morocco has implemented measures to foster investment and encourage participation from companies and stakeholders. Taking into account an indeterminate and volatile future, it becomes imperative for organizations to establish robust risk management strategies to navigate successfully through these uncertainties. This research paper concentrates on the convergence of complexity, project categorization, and risks. We propose a novel approach to the implementation of the Risk Management Process, utilizing the Enterprise Risk Management framework. By establishing Risk Management rules within the context of a "complex" project, we observed enhanced performance and improved risk management through the holistic consideration of interdependencies rather than treating them as separate entities. Additionally, to substantiate this interdependency, we conducted a comparative analysis of the project's risk and complexity between 2020 and 2022.

FTO gene variants (rs9939609, rs8050136 and rs17817449) and type 2 diabetes mellitus risk: A Meta-Analysis.

BACKGROUND AND AIMS: There is tremendous increase in type 2 diabetes mellitus (T2DM) worldwide. The impact of FTO gene polymorphisms on the risk of T2DM is not yet clear because of the controversial results of studies. This meta-analysis aimed to better clarify the association between three FTO gene polymorphisms SNPs (rs9939609, rs8050136 and rs17817449) and T2DM in a larger combined population worldwide. MATERIAL AND METHODS: A comprehensive search on the PubMed, Science Direct, and Web of Science databases was conducted to identify investigations in relationship between different FTO gene polymorphisms (rs9939609, rs8050136 and rs17817449) and T2DM globally. Published papers from January 2007 to May 2023 were collected. Inclusion criteria are limited to human case-control studies published in English and peer-reviewed, which provided data on the genotype distributions of FTO gene polymorphisms and T2DM risk. Odds ratios (OR) and 95% confidence intervals (CI) were calculated to express the results of the meta-analysis. Potential sources of bias and heterogeneity using Egger's regression analysis were also assessed. RESULTS: Of 234695 identified articles, forty-eight studies were selected including 36,051 patients with T2DM and 51,266 control subjects. Overall, we found a significant increased risk of T2DM susceptibility and rs9939609 FTO gene polymorphism in the Allele contrast (A vs. T: OR = 1,30, 95% CI = 1.14; 1.48, P < 0,05, I2 = 0,94), Recessive model (AA vs. AT + TT: OR = 1,54, 95% CI = 1.19; 2.00, P < 0,05, I2 = 0,94), Dominant model (AA + AT vs. TT: OR = 1,26, 95% CI = 1.10; 1.45, P < 0,05, I2 = 0,89), homozygote model (AA vs. TT: OR = 1,60, 95% CI = 1.26; 2.03, P < 0,05, I2 = 0,90), and heterozygote model (AA vs. AT: OR = 1,43, 95% CI = 1.09; 1.88, P = 0,008, I2 = 0,93). we also found a significantly increased risk of T2DM susceptibility and rs8050136 FTO gene polymorphism under all models. For rs17817449 we did not find any association between with T2DM. CONCLUSION: The present meta-analysis confirms that rs9939609 and rs8050136 in the FTO gene are significantly associated with T2DM, while rs17817449 does not show any association.

Spatio-temporal patterns of Synechococcus oligotypes in Moroccan lagoonal environments.

Synechococcus are unicellular cyanobacteria susceptible to environmental fluctuations and can be used as bioindicators of eutrophication in marine ecosystems. We examined their distribution in two Moroccan lagoons, Marchica on the Mediterranean coast and Oualidia on the Atlantic, in the summers of 2014 and 2015 using 16S rRNA amplicon oligotyping. Synechococcus representatives recruited a higher number of reads from the 16S rRNA in Marchica in comparison to Oualidia. We identified 31 Synechococcus oligotypes that clustered into 10 clades with different distribution patterns. The Synechococcus community was mainly represented by oligotype 1 (clade III) in Marchica. Cooccurring clades IV and I had an important relative abundance in Marchica in the summer of 2014, which is unusual, as these clades are widespread in cold waters. Moreover, Clades VII and subcluster "5.3" formed a sizeable percentage of the Synechococcus community in Marchica. Notably, we found low Synechococcus sequence counts in the Atlantic Lagoon. These results showed that the relative abundance of Synechococcus reads is not constant over space and time and that rare members of the Synechococcus community did not follow a consistent pattern. Further studies are required to decipher Synechococcus dynamics and the impact of environmental parameters on their spatial and temporal distributions.

Molecular Modeling Targeting the ACE2 Receptor with Cannabis sativa's Active Ingredients for Antiviral Drug Discovery against SARS-CoV-2 Infections.

The emergence of a novel coronavirus that later on rendered a global pandemic, caused desperation within the communities and drove increased interest in exploring medicinal plant-based therapeutics to treat and prevent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus infections. Many medicinal plants have been reported to have antiviral, anti-inflammatory, and immunomodulatory effects that hinder, cure, or ease the symptoms of COVID-19 infection. This exploratory study seeks to dock the active components of Cannabis sativa, a natural plant with several pharmacological and biological properties, with the angiotensin-converting enzyme II (ACE2) receptor. A total of 3 C. sativa active components have been found to bind to the ACE2 protein active site and could inhibit spike binding, although they do not compete directly with the receptor-binding domain (RBD) of SARS-CoV-2. 6-Prenylapigenin, cannabivarin (CBN-C3), and Δ8-tetrahydrocannabinolic acid-A (Δ8-THCA) have a greater affinity (-8.3, -8.3, and -8.0 kcal/mol, respectively) and satisfactory interaction with ACE2 than its inhibitor MLN-4760 (-7.1 kcal/mol). These potential drugs with higher affinity for the ACE2 receptor and adequate absorption, distribution, metabolism, excretion, and toxicity (ADMET) values are candidates for treating or preventing SARS-CoV-2 infections. In vitro and in vivo investigations are needed to evaluate further the efficacy and toxicity of these hit compounds.

Confusion Syndrome During COVID-19: The "Herb" That Hides the Forest?

We report the case of potential Dysphania ambrosioides (Silverweed) intoxication in the context of SARS-COV-2 infection in a patient admitted for delirium with Glasgow Coma Score (GCS) of 13/15. This herb was used as an antipyretic to treat COVID-19 persistent fever. The clinical presentation of our patient raised several questions related to the viral or herbal intoxication origin of the confusion syndrome. To our knowledge, this is the first description of toxic encephalopathy after D. ambrosioides ingestionin an adult patient.