Metabolic and mitochondria alterations induced by SARS-CoV-2 accessory proteins ORF3a, ORF9b, ORF9c and ORF10.

Antiviral signaling, immune response and cell metabolism are dysregulated by SARS-CoV-2, the causative agent of COVID-19. Here, we show that SARS-CoV-2 accessory proteins ORF3a, ORF9b, ORF9c and ORF10 induce a significant mitochondrial and metabolic reprogramming in A549 lung epithelial cells. While ORF9b, ORF9c and ORF10 induced largely overlapping transcriptomes, ORF3a induced a distinct transcriptome, including the downregulation of numerous genes with critical roles in mitochondrial function and morphology. On the other hand, all four ORFs altered mitochondrial dynamics and function, but only ORF3a and ORF9c induced a marked alteration in mitochondrial cristae structure. Genome-Scale Metabolic Models identified both metabolic flux reprogramming features both shared across all accessory proteins and specific for each accessory protein. Notably, a downregulated amino acid metabolism was observed in ORF9b, ORF9c and ORF10, while an upregulated lipid metabolism was distinctly induced by ORF3a. These findings reveal metabolic dependencies and vulnerabilities prompted by SARS-CoV-2 accessory proteins that may be exploited to identify new targets for intervention.

Pregnant women's perceptions on Information Sources on Zika Virus: a qualitative study.

The Zika virus (ZIKV) epidemic had a sanitary, psychosocial, and economic impact on individuals of reproductive age. The primary concern revolved around infection during pregnancy due to possible vertical transmission and its association with adverse fetal and infant outcomes, known as Congenital Zika Syndrome (CZS). This qualitative study employs phenomenology and grounded theory. This study includes interviews with 98 women, some pregnant during the ZIKV epidemic in Brazil, Colombia, and Puerto Rico, who had children with CZS or without diagnosed neurological impairment. Additionally, the study included a group of women who were pregnant during the COVID-19 pandemic in these same countries. In both groups, interviewees had varying levels of knowledge about ZIKV. The study found that messages conveyed through the media tended to be alarmist, in contrast to the information provided by healthcare professionals, which was considered more trustworthy. Pregnant women during the ZIKV epidemic reported receiving their ZIKV and CSZ infection diagnoses late, either during or after childbirth. The study underscores the needs of pregnant women in high-risk scenarios, the importance of health education processes, and the necessity to reinforce communication and continuing education.

A epidemia do vírus Zika (ZIKV) teve impacto sanitário, psicossocial e econômico sobre pessoas em idade reprodutiva. A principal preocupação foi a infecção durante a gravidez devido a possível transmissão vertical e sua associação com resultados fetais e infantis adversos, conhecida como síndrome congênita associada à infecção pelo Vírus Zika (SCZ). Este estudo qualitativo utiliza a fenomenologia e a teoria fundamentada. O estudo inclui entrevistas com 98 mulheres, parte grávida durante a epidemia de ZIKV no Brasil, Colômbia e Porto Rico e que tiveram filhos com SCZ ou sem comprometimento neurológico diagnosticado. Além disso, o estudo inclui um grupo de mulheres grávidas durante a pandemia de COVID-19 nos mesmos países. Em ambos os grupos, as entrevistadas tinham diferentes níveis de conhecimento sobre ZIKV. O estudo constatou que as mensagens veiculadas por meio da mídia eram alarmistas; em contraste com as informações fornecidas por profissionais de saúde, consideradas mais confiáveis. Mulheres gestantes durante a epidemia do ZIKV relataram ter recebido seu diagnóstico de infecção por ZIKV e SCZ tardiamente ou após o parto. O estudo destaca as necessidades das mulheres grávidas em cenários de alto risco, a importância de processos de educação em saúde e a necessidade de reforçar a comunicação e a educação continuada.

Complex artificial intelligence models for energy sustainability in educational buildings.

Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. This paper aims to introduce a study that investigates several artificial intelligence-based models to predict the energy consumption of the most important educational buildings; schools. These models include decision trees, K-nearest neighbors, gradient boosting, and long-term memory networks. The research also investigates the relationship between the input parameters and the yearly energy usage of educational buildings. It has been discovered that the school sizes and AC capacities are the most impact variable associated with higher energy consumption. While 'Type of School' is less direct or weaker correlation with 'Annual Consumption'. The four developed models were evaluated and compared in training and testing stages. The Decision Tree model demonstrates strong performance on the training data with an average prediction error of about 3.58%. The K-Nearest Neighbors model has significantly higher errors, with RMSE on training data as high as 38,429.4, which may be indicative of overfitting. In contrast, Gradient Boosting can almost perfectly predict the variations within the training dataset. The performance metrics suggest that some models manage this variability better than others, with Gradient Boosting and LSTM standing out in terms of their ability to handle diverse data ranges, from the minimum consumption of approximately 99,274.95 to the maximum of 683,191.8. This research underscores the importance of sustainable educational buildings not only as physical learning spaces but also as dynamic environments that contribute to informal educational processes. Sustainable buildings serve as real-world examples of environmental stewardship, teaching students about energy efficiency and sustainability through their design and operation. By incorporating advanced AI-driven tools to optimize energy consumption, educational facilities can become interactive learning hubs that encourage students to engage with concepts of sustainability in their everyday surroundings.

"I found out about Zika virus after she was born." Women's experiences of risk communication during the Zika virus epidemic in Brazil, Colombia, and Puerto Rico.

Providing accurate, evidence-based information to women with Zika infection during pregnancy was problematic because of the high degree of uncertainty in the diagnosis of the infection and the associated risk. The 2015-17 Zika virus epidemic overwhelmingly affected women in countries with limited access to safe abortion. Understanding women's perspectives on risk communication during pregnancy in the context of an emerging pathogen can help inform risk communication in response to future outbreaks that affect fetal or child development. We conducted a cross-sectional qualitative interview study with 73 women from 7 locations in Brazil, Colombia, and Puerto Rico to understand women's experiences of Zika virus (ZIKV) test and outcome-related communication during the ZIKV pandemic. We used thematic analysis to analyze the in-depth interviews. Participants in Brazil and Colombia reported that the healthcare system's lack of preparation and organization in communicating ZIKV test results and associated adverse outcomes led to their feeling abandoned and alone in confronting the challenges of a ZIKV-affected pregnancy. In contrast, participants in Puerto Rico reported that the regular testing schedules and clear, well-planned communication between the care team and between providers and pregnant women helped them to feel they could prepare for a ZIKV-affected pregnancy. Communication of the risk associated with an emerging pathogen suspected to affect pregnancy and developmental outcomes is a fraught issue. Public health authorities and healthcare providers should work together in the interpandemic period to understand families' preferences for risk communication during pregnancy in the presence of uncertainty and develop a community-informed plan for risk communication.

A multimodal framework for extraction and fusion of satellite images and public health data.

In low- and middle-income countries, the substantial costs associated with traditional data collection pose an obstacle to facilitating decision-making in the field of public health. Satellite imagery offers a potential solution, but the image extraction and analysis can be costly and requires specialized expertise. We introduce SatelliteBench, a scalable framework for satellite image extraction and vector embeddings generation. We also propose a novel multimodal fusion pipeline that utilizes a series of satellite imagery and metadata. The framework was evaluated generating a dataset with a collection of 12,636 images and embeddings accompanied by comprehensive metadata, from 81 municipalities in Colombia between 2016 and 2018. The dataset was then evaluated in 3 tasks: including dengue case prediction, poverty assessment, and access to education. The performance showcases the versatility and practicality of SatelliteBench, offering a reproducible, accessible and open tool to enhance decision-making in public health.

Neuroinflammation and Schizophrenia: New Therapeutic Strategies through Psychobiotics, Nanotechnology, and Artificial Intelligence (AI).

The prevalence of schizophrenia, affecting approximately 1% of the global population, underscores the urgency for innovative therapeutic strategies. Recent insights into the role of neuroinflammation, the gut-brain axis, and the microbiota in schizophrenia pathogenesis have paved the way for the exploration of psychobiotics as a novel treatment avenue. These interventions, targeting the gut microbiome, offer a promising approach to ameliorating psychiatric symptoms. Furthermore, advancements in artificial intelligence and nanotechnology are set to revolutionize psychobiotic development and application, promising to enhance their production, precision, and effectiveness. This interdisciplinary approach heralds a new era in schizophrenia management, potentially transforming patient outcomes and offering a beacon of hope for those afflicted by this complex disorder.

How has research on the effectiveness and safety of COVID-19 vaccination been evaluated: a scope review with emphasis on CoronaVac.

Introduction: The control of the COVID-19 epidemic has been focused on the development of vaccines against SARS-CoV-2. All developed vaccines have reported safety and efficacy results in preventing infection and its consequences, although the quality of evidence varies depending on the vaccine considered. Different methodological designs have been used for their evaluation, which can influence our understanding of the effects of these interventions. CoronaVac is an inactivated vaccine, and it has been assessed in various studies, including clinical trials and observational studies. Given these differences, our objective was to explore the published information to answer the question: how has the efficacy/effectiveness and safety of CoronaVac been evaluated in different studies? This is to identify potential gaps and challenges to be addressed in understanding its effect. Methods: A scoping review was carried out following the methodology proposed by the Joanna Briggs Institute, which included studies carried out in humans as of 2020, corresponding to systematic reviews, clinical trials, analytical or descriptive observational studies, in which the effectiveness and/or safety of vaccines for COVID19 were evaluated or described. There were no age restrictions for the study participants. Results: The efficacy/effectiveness and safety of this vaccine was assessed through 113 studies. Nineteen corresponded to experimental studies, 7 of Phase II, 5 of Phase IV, and 4 were clinical trials with random assignment. Although some clinical trials with random assignment have been carried out, these have limitations in terms of feasibility, follow-up times, and with this, the possibility of evaluating safety outcomes that occur with low frequencies. Not all studies have used homogeneous methods of analysis. Both the prevention of infection, and the prevention of outcomes such as hospitalization or death, have been valued through similar outcomes, but some through multivariate analysis of dependencies, and others through analysis that try to infer causally through different control methods of confounding. Conclusion: Published information on the evaluation of the efficacy/effectiveness and safety of the CoronaVac is abundant. However, there are differences in terms of vaccine application schedules, population definition, outcomes evaluated, follow-up times, and safety assessment, as well as non-standardization in the reporting of results, which may hinder the generalizability of the findings. It is important to generate meetings and consensus strategies for the methods and reporting of this type of studies, which will allow to reduce the heterogeneity in their presentation and a better understanding of the effect of these vaccines.

Overview of Modern Commercial Kits for Laboratory Diagnosis of African Swine Fever and Swine Influenza A Viruses.

Rapid and early detection of infectious diseases in pigs is important, especially for the implementation of control measures in suspected cases of African swine fever (ASF), as an effective and safe vaccine is not yet available in most of the affected countries. Additionally, analysis for swine influenza is of significance due to its high morbidity rate (up to 100%) despite a lower mortality rate compared to ASF. The wide distribution of swine influenza A virus (SwIAV) across various countries, the emergence of constantly new recombinant strains, and the danger of human infection underscore the need for rapid and accurate diagnosis. Several diagnostic approaches and commercial methods should be applied depending on the scenario, type of sample and the objective of the studies being implemented. At the early diagnosis of an outbreak, virus genome detection using a variety of PCR assays proves to be the most sensitive and specific technique. As the disease evolves, serology gains diagnostic value, as specific antibodies appear later in the course of the disease (after 7-10 days post-infection (DPI) for ASF and between 10-21 DPI for SwIAV). The ongoing development of commercial kits with enhanced sensitivity and specificity is evident. This review aims to analyse recent advances and current commercial kits utilised for the diagnosis of ASF and SwIAV.

Incidence of major cardiovascular events at 1, 2, and 5 years and mortality in incident patients on peritoneal dialysis regarding their nutritional status by bioimpedanciometry: A multicenter study in Colombia.

BACKGROUND: The nutritional status of incident patients on peritoneal dialysis (PD) has been associated with survival outcomes. Bioimpedanciometry (BCM) enables to establish a nutritional diagnosis, the volume status, and correlates these findings with survival. METHODS: This study used a retrospective multicenter historical cohort. RESULTS: In this study, which included 420 incident patients on peritoneal dialysis with a 5-year follow-up, a cumulative incidence of major adverse cardiovascular events (MACE) of 28.8% was found, being higher in the diabetic population at 36.8%. In regard to the nutritional status in this population, it was found that approximately 44% had altered nutritional status; 34% were found to be in sarcopenia; 6.7% sarcopenic obesity; and 2.8% in obesity (p < 0.001). In the survival analysis, a lower probability of survival was found in patients with overhydration (OH) greater than 3 L (p < 0.001) and in patients with altered nutritional status due to sarcopenia, sarcopenic obesity, and obesity (p 0.016). According to survival in the subgroup of the diabetic population, a lower probability of survival was found in this group of patients (p: 0.011). The overall mortality of the study population was 18%, being higher in the first 2 years, with the most important causes of mortality being cardiovascular. Of the deceased population, 51% were diabetic patients (p: 0.012). CONCLUSION: In incident patients on peritoneal dialysis, sarcopenic obesity, sarcopenia, overhydration status determined by BCM, and having a diagnosis of diabetes are related to a lower probability of survival; MACE outcomes are more frequent in the diabetic population.

Percepções das mulheres grávidas sobre as fontes de informação relativas ao vírus Zika: um estudo qualitativo / Pregnant women's perceptions on information sources on Zika virus: a qualitative study

Resumo A epidemia do vírus Zika (ZIKV) teve impacto sanitário, psicossocial e econômico sobre pessoas em idade reprodutiva. A principal preocupação foi a infecção durante a gravidez devido a possível transmissão vertical e sua associação com resultados fetais e infantis adversos, conhecida como síndrome congênita associada à infecção pelo Vírus Zika (SCZ). Este estudo qualitativo utiliza a fenomenologia e a teoria fundamentada. O estudo inclui entrevistas com 98 mulheres, parte grávida durante a epidemia de ZIKV no Brasil, Colômbia e Porto Rico e que tiveram filhos com SCZ ou sem comprometimento neurológico diagnosticado. Além disso, o estudo inclui um grupo de mulheres grávidas durante a pandemia de COVID-19 nos mesmos países. Em ambos os grupos, as entrevistadas tinham diferentes níveis de conhecimento sobre ZIKV. O estudo constatou que as mensagens veiculadas por meio da mídia eram alarmistas; em contraste com as informações fornecidas por profissionais de saúde, consideradas mais confiáveis. Mulheres gestantes durante a epidemia do ZIKV relataram ter recebido seu diagnóstico de infecção por ZIKV e SCZ tardiamente ou após o parto. O estudo destaca as necessidades das mulheres grávidas em cenários de alto risco, a importância de processos de educação em saúde e a necessidade de reforçar a comunicação e a educação continuada.

Abstract The Zika virus (ZIKV) epidemic had a sanitary, psychosocial, and economic impact on individuals of reproductive age. The primary concern revolved around infection during pregnancy due to possible vertical transmission and its association with adverse fetal and infant outcomes, known as Congenital Zika Syndrome (CZS). This qualitative study employs phenomenology and grounded theory. This study includes interviews with 98 women, some pregnant during the ZIKV epidemic in Brazil, Colombia, and Puerto Rico, who had children with CZS or without diagnosed neurological impairment. Additionally, the study included a group of women who were pregnant during the Covid-19 pandemic in these same countries. In both groups, interviewees had varying levels of knowledge about ZIKV. The study found that messages conveyed through the media tended to be alarmist, in contrast to the information provided by healthcare professionals, which was considered more trustworthy. Pregnant women during the ZIKV epidemic reported receiving their ZIKV and CSZ infection diagnoses late, either during or after childbirth. The study underscores the needs of pregnant women in high-risk scenarios, the importance of health education processes, and the necessity to reinforce communication and continuing education.

PRESCRIBING PATTERNS AND THE USE OF ANTHELMINTIC DRUGS IN COLOMBIAN PATIENTS: A CROSS-SECTIONAL STUDY.

Intestinal parasites continue to be a public health problem in low- and middle-income countries. Broad use of anthelmintics during deworming programs is still necessary in many regions. However, description of the usage of these medications in general medical practice has been limited. The objective of this study was to determine the use of anthelmintic drugs and their indications in a group of Colombian patients. This was a descriptive study from a drug-dispensing database, identifying patients with prescriptions for anthelmintic drugs. A total of 381 cases were randomly selected, and their medical records were reviewed, analyzing sociodemographic, clinical, and pharmacological variables (indication of use). The lack of diagnosis registration or clinical manifestations of parasites was determined as a prescription without indication. In total, 50.9% (n = 194) of patients were female, and 67.4% of all patients were under 18 yr of age. The diagnosis of helminthiases was clearly stated in 114 (29.9%) patients, and only 4.2% (n = 16) of these had microbiological confirmation. The most commonly used anthelmintic drug was albendazole (70.4% of all prescriptions). The use of anthelmintics was not indicated in 266 cases (69.8%). Nutritional supplements or vitamin prescriptions were associated with using anthelmintics without indication (odds ratio: 2.25; 95% confidence interval: 1.26-4.03). A high proportion of patients lacked symptoms or diagnoses in their clinical records that supported the use of anthelmintic drugs.

AG5 is a potent non-steroidal anti-inflammatory and immune regulator that preserves innate immunity.

An archetypal anti-inflammatory compound against cytokine storm would inhibit it without suppressing the innate immune response. AG5, an anti-inflammatory compound, has been developed as synthetic derivative of andrographolide, which is highly absorbable and presents low toxicity. We found that the mechanism of action of AG5 is through the inhibition of caspase-1. Interestingly, we show with in vitro generated human monocyte derived dendritic cells that AG5 preserves innate immune response. AG5 minimizes inflammatory response in a mouse model of lipopolysaccharide (LPS)-induced lung injury and exhibits in vivo anti-inflammatory efficacy in the SARS-CoV-2-infected mouse model. AG5 opens up a new class of anti-inflammatories, since contrary to NSAIDs, AG5 is able to inhibit the cytokine storm, like dexamethasone, but, unlike corticosteroids, preserves adequately the innate immunity. This is critical at the early stages of any naïve infection, but particularly in SARS-CoV-2 infections. Furthermore, AG5 showed interesting antiviral activity against SARS-CoV-2 in humanized mice.

Predicting open education competency level: A machine learning approach.

This article aims to study open education competency data through machine learning models to determine whether models can be built on decision rules using the features from the students' perceptions and classify them by the level of competency. Data was collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. Based on a quantitative research approach, we analyzed the eOpen data using two machine learning models considering these findings: 1) derivation of decision rules from students' perceptions of knowledge, skills, and attitudes or values related to open education to predict their competence level using Decision Trees and Random Forests models, 2) analysis of the prediction errors in the machine learning models to find bias, and 3) description of decision trees from the machine learning models to understand the choices that both models made to predict the competency levels. The results confirmed our hypothesis that the students' perceptions of their knowledge, skills, and attitudes or values related to open education and its sub-competencies produced satisfactory data for building machine learning models to predict the participants' competency levels.

The impact of national culture in the development of complexity reasoning skills: An international comparison.

There is a clear inequality in gender distribution for the STEM areas (Science, Technology, Engineering, and Mathematics). Furthermore, there is a noticeable lack of diversity and a socio-economic gap that requires actionable solutions. To explore potential factors that affect the participation of women in STEM, this paper reviews two possible groups of determinants: national culture and complexity thinking. A survey with 684 respondents from higher education institutions in Chile, Ecuador, Mexico, and Spain was undertaken. The instrument measured four components of complexity thinking namely critical, scientific, innovative, and systemic). Using analysis of variance between two groups and between multiple groups, differences were observed between the countries' samples and between genders. Once the significance was confirmed, boxplots for each dimension were elaborated to facilitate the visualization of the distributions. The scores were compared with the national culture values to seek possible behavioral patterns in the data. The results reveal two groups between the observed countries. Also, there are clear indications of a relationship between the national culture dimensions and the complex thinking components.

Combination of MCL-1 and BCL-2 inhibitors is a promising approach for a host-directed therapy for tuberculosis.

Tuberculosis (TB) accounts for 1.6 million deaths annually and over 25% of deaths due to antimicrobial resistance. Mycobacterium tuberculosis (M.tb) drives MCL-1 expression (family member of anti-apoptotic BCL-2 proteins) to limit apoptosis and grow intracellularly in human macrophages. The feasibility of re-purposing specific MCL-1 and BCL-2 inhibitors to limit M.tb growth, using inhibitors that are in clinical trials and FDA-approved for cancer treatment has not be tested previously. We show that specifically inhibiting MCL-1 and BCL-2 induces apoptosis of M.tb-infected macrophages, and markedly reduces M.tb growth in human and murine macrophages, and in a pre-clinical model of human granulomas. MCL-1 and BCL-2 inhibitors limit growth of drug resistant and susceptible M.tb in macrophages and act in additive fashion with the antibiotics isoniazid and rifampicin. This exciting work uncovers targeting the intrinsic apoptosis pathway as a promising approach for TB host-directed therapy. Since safety and activity studies are underway in cancer clinics for MCL-1 and BCL-2 inhibitors, we expect that re-purposing them for TB treatment should translate more readily and rapidly to the clinic. Thus, the work supports further development of this host-directed therapy approach to augment current TB treatment.

Genetic bases of resistance to the rice hoja blanca disease deciphered by a quantitative trait locus approach.

Rice hoja blanca (RHB) is one of the most serious diseases in rice-growing areas in tropical Americas. Its causal agent is RHB virus (RHBV), transmitted by the planthopper Tagosodes orizicolus Müir. Genetic resistance is the most effective and environment-friendly way of controlling the disease. So far, only 1 major quantitative trait locus (QTL) of Oryza sativa ssp. japonica origin, qHBV4.1, that alters the incidence of the virus symptoms in 2 Colombian cultivars has been reported. This resistance has already started to be broken, stressing the urgent need for diversifying the resistance sources. In the present study, we performed a search for new QTLs of O. sativa indica origin associated with RHB resistance. We used 4 F2:3-segregating populations derived from indica-resistant varieties crossed with a highly susceptible japonica pivot parent. Besides the standard method for measuring disease incidence, we developed a new method based on computer-assisted image processing to determine the affected leaf area (ALA) as a measure of symptom severity. Based on the disease severity and incidence scores in the F3 families under greenhouse conditions and SNP genotyping of the F2 individuals, we identified 4 new indica QTLs for RHB resistance on rice chromosomes 4, 6, and 11, namely, qHBV4.2WAS208, qHBV6.1PTB25, qHBV11.1, and qHBV11.2, respectively. We also confirmed the wide-range action of qHBV4.1. Among the 5 QTLs, qHBV4.1 and qHBV11.1 had the largest effects on incidence and severity, respectively. These results provide a more complete understanding of the genetic bases of RHBV resistance in the cultivated rice gene pool and can be used to develop marker-aided breeding strategies to improve RHB resistance. The power of joint- and meta-analyses allowed precise mapping and candidate gene identification, providing the basis for positional cloning of the 2 major QTLs qHBV4.1 and qHBV11.1.

SARS-CoV-2 accessory proteins involvement in inflammatory and profibrotic processes through IL11 signaling.

SARS-CoV-2, the cause of the COVID-19 pandemic, possesses eleven accessory proteins encoded in its genome. Their roles during infection are still not completely understood. In this study, transcriptomics analysis revealed that both WNT5A and IL11 were significantly up-regulated in A549 cells expressing individual accessory proteins ORF6, ORF8, ORF9b or ORF9c from SARS-CoV-2 (Wuhan-Hu-1 isolate). IL11 is a member of the IL6 family of cytokines. IL11 signaling-related genes were also differentially expressed. Bioinformatics analysis disclosed that both WNT5A and IL11 were involved in pulmonary fibrosis idiopathic disease and functional assays confirmed their association with profibrotic cell responses. Subsequently, data comparison with lung cell lines infected with SARS-CoV-2 or lung biopsies from patients with COVID-19, evidenced altered profibrotic gene expression that matched those obtained in this study. Our results show ORF6, ORF8, ORF9b and ORF9c involvement in inflammatory and profibrotic responses. Thus, these accessory proteins could be targeted by new therapies against COVID-19 disease.

Robust design of a logistics system using FePIA procedure and analysis of trade-offs between CO2 emissions and net present value.

The problems of flexible planning of the design of logistics systems for the collection of food products such as raw milk can result in a decrease in the performance of critical indicators for their performance. This paper proposes a new efficient methodology for robustly designing a first-mile logistics system for storing and refrigerating milk as a perishable product considering decisions related to open facilities and the flow of products, including sustainability indices. The proposed approach is modeled as a bi-objective problem by considering the minimization of greenhouse gas emissions (CO2) produced by milk transportation canteens and the maximization of the system configuration's net present value (NPV). We have analyzed and determined the most robust configuration for the first time and explained the robustness-NPV and robustness-CO2 relationships. The proposed mathematical model is solved by the Epsilon constraints method, and the robustness is calculated considering an extension of the FePIA methodology for multiobjective problems. A novel contribution is a balance in the possible future values generated by the company related to its cash flows and the generation of CO2 emissions when using a motorized transport frequently used in the shipment of raw milk considering a new important aspect such as the volume of product transported and the slope of the path between the production farm and the storage cooling tanks.

Alpha-methyl acetyl-coA racemase deficiency. Magnetic resonance imaging findings of three patients with encephalopathy, epilepsy, and stroke-like episodes.

Alpha-methyl acyl-CoA racemase deficiency (AMACRD) is a rare peroxisomal disorder that results in the accumulation of pristanic acid and 16 cases have been reported in the literature. Here, we present three additional patients, two confirmed by genomic study and one suspected. Three siblings who were born to healthy unrelated parents developed recurrent episodes of encephalopathy, seizures, and behavioral disturbances. In all 3, brain MRI showed lesions in the thalami, cerebral peduncles, and mesencephalic tegmentum, as well as brain volume loss. In addition, one patient had a chronic hemispheric infarct and an acute contralateral infarct, and another had a subacute infarct involving multiple vascular territories without abnormalities on MR angiography.

Influence of non-osteoporotic treatments in patients on active anti-osteoporotic therapy: evidence from the OSTEOMED registry.

PURPOSE: To evaluate the effect of different non-osteoporotic drugs on the increase or decrease in the risk of incident fragility fractures (vertebral, humerus or hip) in a cohort of patients diagnosed with osteoporosis on active anti-osteoporotic therapy. METHODS: For this retrospective longitudinal study, baseline and follow-up data on prescribed non-osteoporotic treatments and the occurrence of vertebral, humerus or hip fractures in 993 patients from the OSTEOMED registry were analyzed using logistic regression models. The drugs evaluated with a possible beneficial effect were thiazides and statins, while the drugs evaluated with a possible harmful effect were antiandrogens, aromatase inhibitors, proton pump inhibitors, selective serotonin reuptake inhibitors, benzodiazepines, GnRH agonists, thyroid hormones, and oral and inhaled corticosteroids. RESULTS: Logistic regression analyses indicated that no treatment significantly improved fracture risk, with the only treatments that significantly worsened fracture risk being letrozole (OR = 0.18, p-value = 0.03) and oral corticosteroids at doses ≤ 5 mg/day (OR = 0.16, p-value = 0.03) and > 5 mg/day (OR = 0.27, p-value = 0.04). CONCLUSION: The potential beneficial or detrimental effects of the different drugs evaluated on fracture risk are masked by treatment with anabolic or antiresorptive drugs that have a more potent action on bone metabolism, with two exceptions: letrozole and oral corticosteroids. These findings may have important clinical implications, as patients receiving these treatments are not fully protected by bisphosphonates, which may imply the need for more potent anti-osteoporotic drugs such as denosumab or teriparatide.