Search Results (9)

ESKAPE bacteria represent a group of opportunistic bacterial pathogens that display widespread antimicrobial resistance, including resistance to the last-line antibiotics, thereby posing a significant clinical implication globally. Anthropogenic activities, such as wastewater from hospitals, livestock farms, crop fields, and wastewater treatment plants, contribute to the dissemination of antimicrobial-resistant bacterial pathogens into the environment. Surface water sources, including river waters, act as critical points of discharge for wastewater, pollutants, antibiotic-resistant bacteria (ARB), and antibiotic-resistant genes (ARG). These environmental factors, along with others, facilitate the dissemination and survival of ARBs, as well as promote the exchange of ARGs. Therefore, it is crucial to comprehend the current environmental landscape concerning the prevalence and persistence of resistant bacteria, particularly those belonging to the ESKAPE group. This review aims to provide a comprehensive overview of the current dissemination and characterization of ESKAPE bacteria in surface water and wastewater sources. Full article

Remanufacturing is a production practice that requires the work of producers, consumers, and the government. There are benefits associated with this production model, such as improving the environment, opportunities for cost savings, and others. However, it is essential to identify the factors that affect the possibility of acceptance of this production model. This research proposes a model based on different analysis methodologies and techniques of SEM (Structural Equations Modeling) and the method of PLS (Partial Least Squares). A total of 403 responses to the survey were collected from 1 November 2021 to 15 January 2022. For the data treatment, SPSS, Excel, and WarpPLS software were used to identify the variables, factors, and their direct and indirect effects among the latent variables, referring to a scheme focused on consumer perception based on the acquisition remanufactured products. This created model served as a reference to create and develop a design and repair strategy for White goods or similar products in handling, logistics, and repair. This design strategy was transformed into a business model based on a circular economy, particularly on a Product–Service System with social, economic, and environmental benefits for producers and consumers. Full article

Managers implement several Green Supply Chain Management (GSCM) practices to improve sustainability and economic performance, such as environmental management systems (EMS), eco-design (ED), source reduction (SR) and attending to external environmental management (EEM) requirements; however, the relationship among them requires a deep study. This paper reports the case of the Mexican maquiladora industry, analyzing the main relationships among GSCM practices with environmental impact (EI) and environmental cost savings (ECS). The analysis reports three structural equation models (SEM) developed as simple, second-order, and mediating models. Those relationships are tested using 160 responses to a survey applied to the Mexican maquiladora industry and with partial least squares algorithms (PLS), where conditional probabilities for different scenarios in latent variables are also reported. Findings indicate that EMS has a direct effect on EI (β = 0.442) and ECS (β = 0.227), indicating that EMS reduces EI and cost associated with the production process; however, ED has no direct effect on EI (β = 0.019) and ECS ((β = 0.006), and it can be due to the maquiladora nature as foreign companies focused on manufacturing and not to product design. Full article

Mexico, a megadiverse country, hosts approximately 10–12% of the world’s biodiversity and at least 21,989–23,424 vascular plants, 3350 of which are traditional medicinal flora. The Mexican Regulation categorizes herbal medicinal products into two groups: herbal medicines products and herbal remedies products. To date, there is no available information that describes and includes analyzed data about these two types of herbal medicinal products registered in Mexico. The purpose of the study was to analyze national sanitary registries of herbal products from 2001 to 2020 and identify native Mexican plants that are most used in herbal products. Further, the study aims to highlight the impact and relevance of this large number of medicinal plants, which represent a great source of information, genetic resources, bioactive compounds, and potential use in subsequent therapies based on scientific evidence. The future of medicines and herbal remedies is underestimated; thus, the significance of evaluating the great potential in studying plants for medicinal use must be taken into account. Full article

Accurate DNA replication and segregation is key to reproduction and cell viability in all organisms. Autonomously replicating sequence-binding factor 1 (Abf1) is a multifunctional protein that has essential roles in replication, transcription, and regional silencing in the model yeast Saccharomyces cerevisiae. In the opportunistic pathogenic fungus Candida glabrata, which is closely related to S. cerevisiae, these processes are important for survival within the host, for example, the regulation of transcription of virulence-related genes like those involved in adherence. Here, we describe that CgABF1 is an essential gene required for cell viability and silencing near the telomeres, where many adhesin-encoding genes reside. CgAbf1 mediated subtelomeric silencing depends on the 43 C-terminal amino acids. We also found that abnormal expression, depletion, or overexpression of Abf1, results in defects in nuclear morphology, nuclear segregation, and transit through the cell cycle. In the absence of ABF1, cells are arrested in G2 but start cycling again after 9 h, coinciding with the loss of cell viability and the appearance of cells with higher DNA content. Overexpression of CgABF1 causes defects in nuclear segregation and cell cycle progression. We suggest that these effects could be due to the deregulation of DNA replication. Full article

Production of biofuels and other value-added products from lignocellulose breakdown requires the coordinated metabolic activity of varied microorganisms. The increasing global demand for biofuels encourages the development and optimization of production strategies. Optimization in turn requires a thorough understanding of the microbial mechanisms and metabolic pathways behind the formation of each product of interest. Hydrolysis of lignocellulosic biomass is a bottleneck in its industrial use and often affects yield efficiency. The accessibility of the biomass to the microorganisms is the key to the release of sugars that are then taken up as substrates and subsequently transformed into the desired products. While the effects of different metabolic intermediates in the overall production of biofuel and other relevant products have been studied, the role of proteins and their activity under anaerobic conditions has not been widely explored. Shifts in enzyme production may inform the state of the microorganisms involved; thus, acquiring insights into the protein production and enzyme activity could be an effective resource to optimize production strategies. The application of proteomic analysis is currently a promising strategy in this area. This review deals on the aspects of enzymes and proteomics of bioprocesses of biofuels production using lignocellulosic biomass as substrate. Full article

The COVID-19 pandemic and the quarantine period determined that university students (human resource) in Mexico had adopted the online class modality, which required them to adapt themselves to new technologies and environmental conditions that are different from classrooms at their university. Specifically, these new environmental conditions can be uncomfortable and have an impact on the students’ academic performance. Consequently, the present study aims to determine the impact that the lighting, noise, and temperature levels (independent variables) have on academic performance (dependent variable) in university students during the COVID-19 pandemic. To do this, a questionnaire was developed, which was applied to 206 university students online, and a structural equation model was built that integrates the four variables through three hypotheses, which were statistically validated through the partial least squares method. Results showed that temperature, lighting, and noise have significant direct effects on university students’ academic performance. As a conclusion, it was obtained that the three independent variables have an impact in the sustainability of university students (human resource). Full article

There is a deep need for mortality predictors that allow clinicians to quickly triage patients with severe coronavirus disease 2019 (Covid-19) into intensive care units at the time of hospital admission. Thus, we examined the efficacy of the lymphocyte-to-neutrophil ratio (LNR) and neutrophil-to-monocyte ratio (NMR) as predictors of in-hospital death at admission in patients with severe Covid-19. A total of 54 Mexican adult patients with Covid-19 that met hospitalization criteria were retrospectively enrolled, followed-up daily until hospital discharge or death, and then assigned to survival or non-survival groups. Clinical, demographic, and laboratory parameters were recorded at admission. A total of 20 patients with severe Covid-19 died, and 75% of them were men older than 62.90 ± 14.18 years on average. Type 2 diabetes, hypertension, and coronary heart disease were more prevalent in non-survivors. As compared to survivors, LNR was significantly fourfold decreased while NMR was twofold increased. LNR ≤ 0.088 predicted in-hospital mortality with a sensitivity of 85.00% and a specificity of 74.19%. NMR ≥ 17.75 was a better independent risk factor for mortality with a sensitivity of 89.47% and a specificity of 80.00%. This study demonstrates for the first time that NMR and LNR are accurate predictors of in-hospital mortality at admission in patients with severe Covid-19. Full article

Higher Education Institutions (HEIs) are dedicated to the professionalization of human capital; to accomplish this, the link with the productive sector is an active component that must be strengthened through formal mechanisms. The purpose of this paper is to estimate the relationships and effects from the Institutional Framework (IF), as well as from the independent variables in the context of linking HEI with the industrial sector. Survey data were collected from 47 HEIs in the Northwest of Mexico; a mixed research approach was applied and analyzed through the partial least-squares structural equations modeling (PLS-SEM) technique. Although the IF is identified as a relevant aspect for the model, this is not a problem for Mexican HEIs, since the analysis reflects a solid legal framework regarding the common basic levels and research. The main impact for experts who carry out research activities is that the route to creating, maintaining, and promoting integrated academic, technical, and administrative personnel as a specialized work team is not achieved. The main factor that does not contribute for researchers who carry out research activities is that the route to integrating (creating–maintaining–promoting) academic, technical, and administrative personnel as a specialized work team is not achieved. One finding is that the informants agree with the existing stimuli that are not aimed at research linked to the industrial sector and problem-solving through applied research. There is a need for retaining the groups of researchers to help make the benefits for the industry clear by offering advanced linkage levels. Full article