Predicting growth of Listeria monocytogenes at dynamic conditions during manufacturing, ripening and storage of cheeses - Evaluation and application of models.

Mathematical models were evaluated to predict growth of L. monocytogenes in mould/smear-ripened cheeses with measured dynamic changes in product characteristics and storage conditions. To generate data for model evaluation three challenge tests were performed with mould-ripened cheeses produced by using milk inoculated with L. monocytogenes. Growth of L. monocytogenes and lactic acid bacteria (LAB) in the rind and in the core of cheeses were quantified together with changes in product characteristics over time (temperature, pH, NaCl/aw, lactic- and acetic acid concentrations). The performance of nine available L. monocytogenes growth models was evaluated using growth responses from the present study and from literature together with the determined or reported dynamic product characteristics and storage conditions (46 kinetics). The acceptable simulation zone (ASZ) method was used to assess model performance. A reduced version of the Martinez-Rios et al. (2019) model (https://doi.org/10.3389/fmicb.2019.01510) and the model of Østergaard et al. (2014) (https://doi.org/10.1016/j.ijfoodmicro.2014.07.012) had acceptable performance with a ASZ-score of 71-70% for L. monocytogenes growth in mould/smear-ripened cheeses. Models from Coroller et al. (2012) (https://doi.org/10.1016/j.ijfoodmicro.2011.09.023) had close to acceptable performance with ASZ-scores of 67-69%. The validated models (Martinez-Rios et al., 2019; Østergaard et al., 2014) can be used to facilitate the evaluation of time to critical L. monocytogenes growth for mould/smear-ripened cheeses including modification of recipes with for example reduced salt/sodium or to support exposure assessment studies for these cheeses.

Growth and growth boundary model with terms for melting salts to predict growth responses of Listeria monocytogenes in spreadable processed cheese.

The aim of this study was to develop and validate a growth and growth boundary model with terms for melting salts to predict growth of Listeria monocytogenes in spreadable processed cheese. Cardinal parameter terms for phosphate salts and citric acid were developed in broth studies and used to expand an available growth and growth boundary model. The expanded model includes the effect of nine environmental factors (temperature, pH, aw, lactic acid, acetic acid, citric acid, orthophosphate, di-phosphate and tri-phosphate). To generate growth data for model evaluation challenge tests with inoculated commercial (n = 10) and customized (n = 10) spreadable processed cheeses were performed. Evaluation of the new model by comparison of observed and predicted µmax-values resulted in a bias factor of 1.12 and an accuracy factor of 1.33 (n = 42). Prediction of growth and no-growth responses in processed cheese (n = 60) were 89% correct with 11% fail-safe and 0% fail-dangerous predictions. The developed model can be used to support product development, reformulation or risk assessment for spreadable processed cheese.

Traditional Knowledge of Edible Wild Plants Used by Indigenous Communities in Zongolica, Mexico.

Edible wild plants (EWP) continue to be an important food source for indigenous communities. A survey was conducted to identify the consumption and management of EWP known as quelites in the Zongolica region of Mexico. 15 species of quelites are consumed mainly during the rainy season, whose local name is associated with the plant's shape, smell and flavor. Changes in food patterns and land use threaten the permanence and consumption of these species. Indigenous and local knowledge is crucial for the use, management and conservation of this group of plants, whose consumption can be leveraged to address malnutrition and unhealthy food use.

Effects of a lotion containing probiotic ferment lysate as the main functional ingredient on enhancing skin barrier: a randomized, self-control study.

There is an emergent need to develop functional cosmetic ingredients for the topical management of skin barrier function. This study aimed to investigate the efficacy of a lotion containing fermented lysates VHProbi® Mix R for enhancing the skin barrier. In vitro studies demonstrated that fermented cultures of both Lacticaseibacillus rhamnosus VHProbi® E06 (E06) and L. paracasei VHProbi® E12 (E12) had antioxidant capacity, showing promising scavenging capability for 2,2-diphenyl-1-picryl-hydrazyl. The antioxidant capacity of these strains was also demonstrated in the model of Caenorhabditis elegans. In addition, the fermented lysates of both E06 and E12 enhanced the proliferation of HaCaT cells and ameliorated the toxicity induced by Staphylococcus aureus ATCC 25923, hydrogen peroxide, and ultraviolet B radiation in the HaCaT cell models, which simulated the irritants that facial sensitive skin is exposed to. Subsequently, the ingredient VHProbi® Mix R was formulated using four kinds of fermented lysates: E06, E12, Lactiplantibacillus plantarum VHProbi® E15, and Lactobacillus helveticus VHProbi® Y21. A clinical study was conducted to investigate whether a lotion containing VHProbi® Mix R would be beneficial for people to enhance skin barrier. The participants were asked to use the investigational product for 30 days. Several indicators, including transepidermal water loss (TEWL), skin moisturization, and redness were measured at day 0 and day 30 using VISIA®-CR and CK®-MPA systems. Meanwhile, the burden of sensitive skin (BoSS) and self-assessment questionnaires were performed at baseline and endpoint of this study. The study data showed that at day 30, there was a significant decrease in TEWL (P < 0.01), redness measured by CK®-MPA (P < 0.01), and redness profile measured by VISIA®-CR compared with the baseline measurements. Skin moisturization had significantly increased after treatment with the lotion for 30 days. BoSS and self-assessment questionnaires also substantiated that the participants felt a markedly positive change in their sensitive skin. Hence, we hypothesize that applying the topical functional VHProbi® Mix R could confer effective benefits for people with sensitive skin and this represents a promising intervention for enhancing skin barrier.

Use of Systemic Antibiotics in Patients with COVID-19 in Colombia: A Cross-Sectional Study.

Antibiotics are frequently prescribed to patients with COVID-19. The aim was to determine the pattern of use of systemic antibiotics in a group of patients diagnosed with COVID-19 in Colombia between 2020-2022. This was a descriptive cross-sectional study designed to identify antibiotics prescription patterns for patients diagnosed with COVID-19 treated in eight clinics in Colombia. The AWaRe tool of the World Health Organization (WHO) was used to classify the antibiotics. A total of 10,916 patients were included. The median age was 57 years, and 56.4% were male. A total of 57.5% received antibiotics, especially ampicillin/sulbactam (58.8%) and clarithromycin (47.9%). Most of the antibiotics were classified as Watch (65.1%), followed by Access (32.6%) and Reserve (2.4%). Men (OR: 1.29; 95%CI: 1.17-1.43), older adults (OR: 1.67; 95%CI: 1.48-1.88), patients with dyspnea (OR: 1.26; 95%CI: 1.13-1.41), rheumatoid arthritis (OR: 1.94; 95%CI: 1.17-3.20), and high blood pressure at admission (OR: 1.45; 95%CI: 1.29-1.63), patients treated in-hospital (OR: 5.15; 95%CI: 4.59-5.77), patients admitted to the ICU (OR: 10.48; 95%CI: 8.82-12.45), patients treated with systemic glucocorticoids (OR: 3.60; 95%CI: 3.21-4.03) and vasopressors (OR: 2.10; 95%CI: 1.60-2.75), and patients who received invasive mechanical ventilation (OR: 2.37; 95%CI: 1.82-3.09) were more likely to receive a systemic antibiotic. Most of the patients diagnosed with COVID-19 received antibiotics, despite evidence showing that bacterial coinfection is rare. Antibiotics from the Watch group predominated, a practice that goes against WHO recommendations.

Characterization and effectiveness of a Fracture Liaison Services program in Colombia.

PURPOSE: Fracture Liaison Services programs reduce mortality and the risk of refracture and increase treatment and adherence rates. Greater coverage is an important priority for the future. The aim was to determine the characteristics of patients over 50 years old who suffered fractures and the effectiveness of a Fracture Liaison Services program in a health care institution in Colombia. METHODS: This was a retrospective follow-up study of a cohort of patients with vertebral and nonvertebral fractures managed in a Fracture Liaison Services program. Sociodemographic, clinical and pharmacological variables were identified. Key performance indicators were used to evaluate the effectiveness of the program. Descriptive and bivariate analysis was performed. RESULTS: A total of 438 patients were analyzed. The average age was 77.5 years, and 78.5% were women. Hip and vertebral fractures were the most common (25.3% and 24.9%, respectively). Vertebral fractures prevailed in men (33.0% vs 22.7%; p = 0.041) and those of the radius/ulna in women (20.3% vs 10.6%; p = 0.031). A total of 29.7% had experienced a previous fracture, and 16.7% had received antiosteoporosis drugs. A total of 63.5% of the cases were managed surgically. At discharge, 58.8% received prescriptions for calcium/vitamin D, and 50.7% with prescriptions of antiosteoporotic therapy, especially teriparatide (21.2%) and denosumab (16.4%), without significant differences by sex. However, in women with hip fractures, anti-osteoporotic management prevailed (83.7% vs 64.0; p = 0.032). The effectiveness of the overall program per year was 74.6%. On follow-up, only 9.1% of patients had experienced a new fall, and of those 3.7% presented a new fracture. A total of 4.3% died during follow-up. CONCLUSIONS: Good adherence to the recommendations of the country's clinical practice guidelines was found, and overall, the effectiveness of the program was very satisfactory, with a low incidence of new fractures during follow-up. Fracture Liaison Services programs reduce mortality and the risk of refracture. A retrospective follow-up study of a cohort of patients with vertebral and nonvertebral fractures managed in a Fracture Liaison Services, showed that the effectiveness was 73.6%. On follow-up, 9.1% of patients had experienced a new fall, and of those 3.7% presented a new fracture.

Systematic literature review online gaming addiction among children and young adults: A framework and research agenda.

Online gaming addiction refers to a persistent and recurrent use of internet to engage in games leading to significant impairment or distress in a person's life. With the current pandemic, media reports suggest that the greater access of online devices among children and young adults has intensified online gaming addiction. However, the domain of online gaming addiction is a relatively new phenomenon with disparate studies examining various facets of it. Hence, the purpose of this research is to analyze the existing literature in order to identify the emerging trends in this area and to provide a systematic review that can be used as guidance for future research in this emerging field. Starting from the gaps that this review highlights, the proposed directions will help scholars find issues and gaps not sufficiently explored that can constitute the bases for further research pathways.

Antimicrobial effect of nisin in processed cheese - Quantification of residual nisin by LC-MS/MS and development of new growth and growth boundary model for Listeria monocytogenes.

This study tested the hypothesis that growth of Listeria monocytogenes in processed cheese with added nisin can be predicted from residual nisin A concentrations in the final product after processing. A LC-MS/MS method and a bioassay were studied to quantify residual nisin A concentrations and a growth and growth boundary model was developed to predict the antilisterial effect in processed cheese. 278 growth rates were determined in broth for 11 L. monocytogenes isolates and used to determine 13 minimum inhibitory concentration (MIC) values for nisin between pH 5.5 and 6.5. To supplement these data, 67 MIC-values at different pH-values were collected from the scientific literature. A MIC-term was developed to describe the effect of pH on nisin MIC-values. An available growth and growth boundary model (doi: https://doi.org/10.1016/j.fm.2019.103255) was expanded with the new MIC-term for nisin to predict growth in processed cheese. To generate data for model evaluation and further model development, challenge tests with a total of 45 growth curves, were performed using processed cheese. Cheeses were formulated with 11.2 or 12.0 ppm of nisin A and heat treated to obtain residual nisin A concentrations ranging from 0.56 to 5.28 ppm. Below 15 °C, nisin resulted in extended lag times. A global regression approach was used to fit all growth curves determined in challenge tests. This was obtained by combining the secondary growth and growth boundary model including the new term for the inhibiting effect of nisin on µmax with the primary logistic growth model with delay. This model appropriately described the growth inhibiting effect of residual nisin A and showed that relative lag times depended on storage temperatures. With residual nisin A concentrations, other product characteristics and storage temperature as input the new model correctly predicted all observed growth and no-growth responses for L. monocytogenes. This model can support development of nisin A containing recipes for processed cheese that prevent growth of L. monocytogenes. Residual nisin A concentrations in processed cheese were accurately quantified by the developed LC-MS/MS method with recoveries of 83 to 110% and limits of detection and quantification being 0.04 and 0.13 ppm, respectively. The tested bioassay was less precise and nisin A recoveries varied for 53% to 94%.

Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review.

Manipulation of deformable objects has given rise to an important set of open problems in the field of robotics. Application areas include robotic surgery, household robotics, manufacturing, logistics, and agriculture, to name a few. Related research problems span modeling and estimation of an object's shape, estimation of an object's material properties, such as elasticity and plasticity, object tracking and state estimation during manipulation, and manipulation planning and control. In this survey article, we start by providing a tutorial on foundational aspects of models of shape and shape dynamics. We then use this as the basis for a review of existing work on learning and estimation of these models and on motion planning and control to achieve desired deformations. We also discuss potential future lines of work.

New Term to Quantify the Effect of Temperature on pH min -Values Used in Cardinal Parameter Growth Models for Listeria monocytogenes.

The aim of this study was to quantify the influence of temperature on pH min -values of Listeria monocytogenes as used in cardinal parameter growth models and thereby improve the prediction of growth for this pathogen in food with low pH. Experimental data for L. monocytogenes growth in broth at different pH-values and at different constant temperatures were generated and used to determined pH min -values. Additionally, pH min -values for L. monocytogenes available from literature were collected. A new pH min -function was developed to describe the effect of temperatures on pH min -values obtained experimentally and from literature data. A growth and growth boundary model was developed by substituting the constant pH min -value present in the Mejlholm and Dalgaard (2009) model (J. Food. Prot. 72, 2132-2143) by the new pH min -function. To obtain data for low pH food, challenge tests were performed with L. monocytogenes in commercial and laboratory-produced chemically acidified cheese including glucono-delta-lactone (GDL) and in commercial cream cheese. Furthermore, literature data for growth of L. monocytogenes in products with or without GDL were collected. Evaluation of the new and expanded model by comparison of observed and predicted µ max -values resulted in a bias factor of 1.01 and an accuracy factor of 1.48 for a total of 1,129 growth responses from challenge tests and literature data. Growth and no-growth responses of L. monocytogenes in seafood, meat, non-fermented dairy products, and fermented cream cheese were 90.3% correctly predicted with incorrect predictions being 5.3% fail-safe and 4.4% fail-dangerous. The new pH min -function markedly extended the range of applicability of the Mejlholm and Dalgaard (2009) model from pH 5.4 to pH 4.6 and therefore the model can now support product development, reformulation or risk assessment of food with low pH including chemically acidified cheese and cream cheese.

Modelling and predicting growth of psychrotolerant pseudomonads in milk and cottage cheese.

Mathematical models were developed and evaluated for growth of psychrotolerant pseudomonads in chilled milk and in cottage cheese with cultured cream dressing. The mathematical models include the effect of temperature, pH, NaCl, lactic acid and sorbic acid. A simplified cardinal parameter growth rate model was developed based on growth in broth. Subsequently, the reference growth rate parameter µref25°C-broth of 1.031/h was calibrated by fitting the model to a total of 35 growth rates from cottage cheese with cultured cream dressing. This resulted in a µref25°C-cottage cheese value of 0.621/h. Predictions from both growth rate models were evaluated by comparison with literature and experimental data. Growth of psychrotolerant pseudomonads in heat-treated milk (n=33) resulted in a bias factor (Bf) of 1.08 and an accuracy factor (Af) of 1.32 (µref25°C-broth), whereas growth in cottage cheese with cultured cream dressing and in non-heated milk (n=26) resulted in Bf of 1.08 and Af of 1.43 (µref25°C-cottage cheese). Lag phase models were developed by using relative lag times and data from both the present study and from literature. The acceptable simulation zone method showed the developed models to successfully predict growth of psychrotolerant pseudomonads in milk and cottage cheese at both constant and dynamic temperature storage conditions. The developed models can be used to predict growth of psychrotolerant pseudomonads and shelf life of chilled cottage cheese and milk at constant and dynamic storage temperatures. The applied methodology and the developed models seem likely to be applicable for shelf life assessment of other types of products where psychrotolerant pseudomonads are important for spoilage.

How to build an information gathering and processing system: lessons from naturally and artificially intelligent systems.

Imagine a situation in which you had to design a physical agent that could collect information from its environment, then store and process that information to help it respond appropriately to novel situations. What kinds of information should it attend to? How should the information be represented so as to allow efficient use and re-use? What kinds of constraints and trade-offs would there be? There are no unique answers. In this paper, we discuss some of the ways in which the need to be able to address problems of varying kinds and complexity can be met by different information processing systems. We also discuss different ways in which relevant information can be obtained, and how different kinds of information can be processed and used, by both biological organisms and artificial agents. We analyse several constraints and design features, and show how they relate both to biological organisms, and to lessons that can be learned from building artificial systems. Our standpoint overlaps with Karmiloff-Smith (1992) in that we assume that a collection of mechanisms geared to learning and developing in biological environments are available in forms that constrain, but do not determine, what can or will be learnt by individuals.

Investigación de factores de riesgo de enfermedad arterial ateromatosa: (Arteroesclerosis) en una población juvenil de Tacuarembó, Uruguay

Se entrevistaron al azar las madres de 195 niños y adolescentes con edades comprendidas entre los 4 y 16 años para un estudio posterior de factores considerados de riesgo de enfermedad vascular ateromatosa. Se estudiaron 114 niños con una edad media de 9 años ñ 3. Correspondieron a distintos niveles sociales, la mayoría con Graffar 3 (42,3 por ciento). Predominaron los de raza blanca (93,8 por ciento), los varones (58,8 por ciento) y los que tenían sobrepeso (48,7 por ciento con IMC por encima del percentil 90). El consumo promedio referido de colesterol fue de 396 mg/día, el de grasas totales de 34, 54 por ciento y el de grasas saturadas de 25,14 por ciento de las calorías totales ingeridas. Se encontraron antecedentes de enfermedad vascular en 24 progenitores (10,5 por ciento); el hallazgo más frecuente fue la hipertensión arterial (8,3 por ciento). Los valores medios de los lípidos séricos fueron, CT: 166 mg d/lñ25; c-LDL: 108,43 mg d/l ñ25; C-HDL:41 mg d/lñ8; y TG: 81,05mg d/lñ35. Al analizar los valores considerados de alto riesgo de enfermedad ateromatosa futura se comprobó que trece niños (11,4 por ciento) presentaron CT por encima de 200 mg d/l y veintiuno (18,4) presentaron C-LDL por encima de 130 mg/dl. Hubo 25 niños (20,2 por ciento) con triglicéridos por encima de 100 mg/dl y 26 (21,9 por ciento) con HDL por debajo de 35 mg d/l. La alta incidencia de sobrepeso, la dieta hipergrasa y los niveles lipídicos encontrados deben alertar sobre la presencia temprana de factores de aterogénesis en nuestro medio y deben llevar a planear acciones preventivas precoces