Modelling of Animal Activity, Illuminance, and Noise on a Weaned Piglet Farm.

Measuring animal activity and its evolution in real time is useful for animal welfare assessment. In addition, illuminance and noise level are two factors that can improve our understanding of animal activity. This study aims to establish relationships between animal activity as measured by passive infrared sensors, and both illuminance and noise level on a conventional weaned piglet farm. First, regression models were applied, and then cosine models with three harmonics were developed using least squares with a Generalized Reduced Gradient Nonlinear method. Finally, all the models were validated. Linear models showed positive correlations, with values between 0.40 and 0.56. Cosine models drew clear patterns of daily animal activity, illuminance and noise level with two peaks, one in the morning and one in the afternoon, coinciding with human activity inside the building, with a preference for inactivity at night-time and around midday. Cosine model fitting revealed strong correlations, both in the measurement and validation periods, for animal activity (R = 0.97 and 0.92), illuminance (R = 0.95 and 0.91) and noise level (R = 0.99 and 0.92). The developed models could be easily implemented in animal welfare monitoring systems and could provide useful information about animal activity through continuous monitoring of illuminance or noise levels.

Ethical conflicts among physicians and nurses during the COVID-19 pandemic: A qualitative study.

RATIONALE, AIMS AND OBJECTIVES: The healthcare system and professionals working in the sector have experienced a high caseload during the coronavirus disease 2019 (COVID-19) pandemic. This has increased the potential for morally harmful events that violate professionals' moral codes and values. The aim of this study was to understand and explore experiences of new moral challenges emerging among physicians and nurses caring for individuals during the COVID-19 pandemic. METHOD: The consolidated criteria for reporting qualitative research (COREQ) checklist was used in this qualitative study based on Gadamer's phenomenology. Participants were selected using a convenience sampling method. Thirteen medicine and nursing graduates were interviewed in depth. The participants all worked on the frontline at the start of the COVID-19 pandemic. Data were gathered in two basic healthcare districts in Spain, encompassing both primary care and hospital care. RESULTS: Four main themes emerged from the data analysis: (1) Betrayal of moral and ethical values as a key source of suffering; (2) Ethical and moral sense of failure accompanying loss of meaning; (3) Lack of confidence in performance; (4) Self-demand and self-punishment as personal condemnation among healthcare workers. CONCLUSIONS: Health institutions must implement interventions for health professionals to help mitigate the consequences of experiencing complex ethical scenarios during the pandemic. In addition, they should promote training in moral and ethical deliberation and prepare them to make decisions of great ethical significance.

Evolution and Neural Network Prediction of CO2 Emissions in Weaned Piglet Farms.

This paper aims to study the evolution of CO2 concentrations and emissions on a conventional farm with weaned piglets between 6.9 and 17.0 kg live weight based on setpoint temperature, outdoor temperature, and ventilation flow. The experimental trial was conducted during one transition cycle. Generally, the ventilation flow increased with the reduction in setpoint temperature throughout the cycle, which caused a reduction in CO2 concentration and an increase in emissions. The mean CO2 concentration was 3.12 g m-3. Emissions of CO2 had a mean value of 2.21 mg s-1 per animal, which is equivalent to 0.195 mg s-1 kg-1. A potential function was used to describe the interaction between 10 min values of ventilation flow and CO2 concentrations, whereas a linear function was used to describe the interaction between 10 min values of ventilation flow and CO2 emissions, with r values of 0.82 and 0.85, respectively. Using such equations allowed for simple and direct quantification of emissions. Furthermore, two prediction models for CO2 emissions were developed using two neural networks (for 10 min and 60 min predictions), which reached r values of 0.63 and 0.56. These results are limited mainly by the size of the training period, as well as by the differences between the behavior of the series in the training stage and the testing stage.

Sociodemographic, clinical and pharmacological factors influencing early readmission in mental health settings.

Early readmissions (between 24 hours and 30 days after discharge) can be disruptive for psychiatric patients and their families.

Long-Term Measurement of Piglet Activity Using Passive Infrared Detectors.

Measuring animal activity is useful for monitoring animal welfare in real time. In this regard, passive infrared detectors have been used in recent years to quantify piglet activity because of their robustness and ease of use. This study was conducted on a commercial farm in Northwest Spain during six complete breeding cycles. The hourly average activity of weaned piglets with a body mass of 6-20 kg was recorded and further analyzed by using a multiplicative decomposition of the series followed by a wavelet analysis. Finally, the real series were compared to the theoretical models of activity. Results showed a high level of movement immediately after weaning and a sustained level of activity throughout the cycles. The daily behavior of the piglets followed a clear circadian pattern with several peaks of activity. No differences in behavior were observed between spring-summer cycles and autumn-winter cycles. Single-peak models achieved the best predictive results. In addition, the installed sensors were found to underestimate mild activity.

Professional quality of life, self-compassion, resilience, and empathy in healthcare professionals during COVID-19 crisis in Spain.

The coronavirus pandemic has exposed healthcare professionals to suffering and stressful working conditions. The aim of this study was to analyze professional quality of life among healthcare professionals and its relationship with empathy, resilience, and self-compassion during the COVID-19 crisis in Spain. A cross-sectional study was conducted with 506 healthcare professionals, who participated by completing an online questionnaire. A descriptive correlational analysis was performed. A multivariate regression analysis and a decision tree were used to identify the variables associated with professional quality of life. Empathy, resilience, and mindfulness were the main predictors of compassion fatigue, compassion satisfaction, and burnout, respectively.

Introduction of IADPSG criteria for the screening and diagnosis of gestational diabetes mellitus results in improved pregnancy outcomes at a lower cost in a large cohort of pregnant women: the St. Carlos Gestational Diabetes Study.

OBJECTIVE: The use of the new International Association of the Diabetes and Pregnancy Study Groups criteria (IADPSGC) for the diagnosis of gestational diabetes mellitus (GDM) results in an increased prevalence of GDM. Whether their introduction improves pregnancy outcomes has yet to be established. We sought to evaluate the cost-effectiveness of one-step IADPSGC for screening and diagnosis of GDM compared with traditional two-step Carpenter-Coustan (CC) criteria. RESEARCH DESIGN AND METHODS: GDM risk factors and pregnancy and newborn outcomes were prospectively assessed in 1,750 pregnant women from April 2011 to March 2012 using CC and in 1,526 pregnant women from April 2012 to March 2013 using IADPSGC between 24 and 28 weeks of gestation. Both groups received the same treatment and follow-up regimes. RESULTS: The use of IADPSGC resulted in an important increase in GDM rate (35.5% vs. 10.6%) and an improvement in pregnancy outcomes, with a decrease in the rate of gestational hypertension (4.1 to 3.5%: -14.6%, P < 0.021), prematurity (6.4 to 5.7%: -10.9%, P < 0.039), cesarean section (25.4 to 19.7%: -23.9%, P < 0.002), small for gestational age (7.7 to 7.1%: -6.5%, P < 0.042), large for gestational age (4.6 to 3.7%: -20%, P < 0.004), Apgar 1-min score <7 (3.8 to 3.5%: -9%, P < 0.015), and admission to neonatal intensive care unit (8.2 to 6.2%: -24.4%, P < 0.001). Estimated cost savings was of €14,358.06 per 100 women evaluated using IADPSGC versus the group diagnosed using CC. CONCLUSIONS: The application of the new IADPSGC was associated with a 3.5-fold increase in GDM prevalence in our study population, as well as significant improvements in pregnancy outcomes, and was cost-effective. Our results support their adoption.

Cystatin C and albuminuria as predictors of long-term allograft outcomes in kidney transplant recipients.

Although cystatin C (Cys) and albuminuria (Alb) are predictors of end-stage renal disease in the general population, there are limited data about the performance of these markers alone or combined with respect to the prediction of the kidney transplant outcome. We assessed the ability of one-yr creatinine (Cr), MDRD equation, Cys, Hoek equation, Alb, the logarithm of albuminuria (LogAlb), and two products of these variables for predicting death-censored graft loss (DCGL) in 127 kidney transplant recipients. Mean follow-up time was 5.6 ± 1.7 yr. During this time, 18 patients developed DCGL. The area under the receiver operating characteristic curve for DCGL ranged from 71.1% to 85.4%, with Cys*LogAlb being the best predictor. Cys-based variables and variables combining LogAlb and renal function estimates have better discrimination ability than Cr-based variables alone. After multivariate analysis, quartiles of all one-yr variables (except of Cr and MDRD) were independent predictors for DCGL. Predictors combining Alb and a Cr- or Cys-based estimate of renal function performed better than those markers alone to predict DCGL. Cys-based predictors performed better than Cr-based predictors. Using a double-marker in kidney transplantation, it is possible to identify the highest risk group in which to prioritize specialty care.

Environmental surveillance of norovirus in Argentina revealed distinct viral diversity patterns, seasonality and spatio-temporal diffusion processes.

Norovirus (NoV) contamination was evaluated in five rivers of Argentina between 2005 and 2011. NoV was present in all sampled rivers, with distinct NoV patterns in waters impacted by different-sized communities. In rivers affected by medium-sized populations (Salta and Córdoba cities) only one or two genotypes were present, GII.4 being the main one, with winter seasonality. In contrast, in the much more heavily populated area of Buenos Aires city the prevalent GII.4 was accompanied by several additional genotypes (GII.4, GII.b, GII.2, GII.7, GII.17, GII.e and GII.g) and one ungenotyped GII NoV, with no clear seasonality. GII.4 2006b was the main variant detected (60.9%). Phylogeographic and phylodynamic analyses performed in region D of the VP1 gene showed a most recent common ancestor in 2002 and a substitution rate of 3.7×10(-3) substitutions per site per year (HPD95%=2.3×10(-3)-5.2×10(-3)) for this variant still involving a significant population size with a slight decrease since 2008. The spatio-temporal diffusion analysis proposed Europe as an intermediate path between the American Continent and the rest of the World for NoV dissemination. Given the importance of NoV as a cause of epidemic gastroenteritis and the likelihood of its environmental transmission, the results of this work should increase public and institutional awareness of the health risk involved in sewage discharges into the environment. Environmental surveillance of enteric viruses could be a very useful tool not only to prevent waterborne outbreaks, but also to describe the epidemiology of the viruses. The detailed analysis of the viral genomes disposed into the environment contributed to the characterization of the dissemination, diversity and seasonality of NoV in its natural host population. In future studies, environmental surveillance and molecular analysis should be complemented with a quantitative viral risk assessment for estimating the disease burden from viruses in the environment.

Genetic and evolutionary characterization of norovirus from sewage and surface waters in Córdoba City, Argentina.

Noroviruses (NoVs) are among the most common viral agents that cause gastroenteritis in humans of all ages worldwide. They are excreted in the feces and introduced into environmental waters as raw or treated sewage. In this work, sewage and water samples collected from the Suquía River in the city of Córdoba, Argentina, were evaluated for the presence of NoV. Phylogenetic analysis demonstrated that the main genotype detected was GII.4, belonging to the widely-distributed 2006b variant, followed by strains related to the putative recombinant GII.g virus. Detected NoVs were more phylogenetically related with recent viruses from other countries than with previous local sequences, suggesting a rapid and wide spread of viral strains that prevents a geographically structured phylogeny. A Bayesian coalescent analysis demonstrated that variants isolated in this work have a most recent common ancestor placed in 2007-2008 with estimated substitution rates of 3.7-5.8×10(-3)s/s/y. Environmental samples showed a mixture of both viral types, pointing up to the co-circulation and the risk of mixed infections and recombination. This is the first report on the detection and characterization of NoV in sewage and river water in Argentina.

Application of bioassays for the ecotoxicity assessment of contaminated soils.

The use of bioassays for soil characterization is receiving significant attention as a complementary tool to chemical analysis. Bioassays consist of direct toxicity assays of environmental samples that are transferred to the laboratory and analyzed for toxicity against selected organisms. Such soil samples contain the combination of the different pollutants present in situ and enable factors such as the bioavailability of contaminants or the interactions (synergic and antagonic) between them to be simultaneously studied.In this chapter, methods for soil toxicity assessment based in the guidelines developed by OECD for single substances are described. These methods have been adapted for their application to the assessment of complex matrices such as soils. The field sample can be tested undiluted and/or diluted with "uncontaminated" soil to create a pollution gradient. In the diluted samples, concentration/response relationships may be obtained. Toxicity assays to soil organisms include earthworms, plants, and microorganisms tests. In addition, toxicity assays with soil extracts are recommended. Assays of extracts with algae, daphnia, and fish (in vitro test using fish cell lines) are also described.

Family physician and endocrinologist coordination as the basis for diabetes care in clinical practice.

BACKGROUND: To estimate the proportion of diabetic patients (DPts) with peripheral vascular disease treated at a primary health care site after an endocrinologist-based intervention, who meet ATP III and Steno targets of metabolic control, as well as to compare the outcome with the results of the patients treated by endocrinologists. METHODS: A controlled, prospective over 30-months period study was conducted in area 7 of Madrid. One hundred twenty six eligible diabetic patients diagnosed as having peripheral vascular disease between January 2003 and June 2004 were included in the study. After a treatment period of three months by the Diabetes team at St Carlos Hospital, 63 patients were randomly assigned to continue their follow up by diabetes team (Group A) and other 63 to be treated by the family physicians (FP) at primary care level with continuous diabetes team coordination (Group B). 57 DPts from Group A and 59 from Group B, completed the 30 months follow-up period. At baseline both groups were similar in age, weight, time from diagnosis and metabolic control. The main outcomes of this study were the proportion of patients meeting ATP III and Steno goals for HbA1c (%), Cholesterol, HDL cholesterol, LDL cholesterol, triglycerides, blood pressure, albumine-to-creatinine excretion ratio (ACR), body mass index (BMI), waist circumference (WC), anti-aggregation treatment and smoking status. RESULTS: At the end of the follow up, no differences were found between the groups. More than 37% of diabetic patients assigned to be treated by FP achieved a HbA1c < 6.5%, more than 50% a ACR < 30 mg/g, and more than 80% reached low risk values for cholesterol, LDL cholesterol, triglycerides, diastolic blood pressure and were anti-aggregated, and 12% remained smokers. In contrast, less than 45% achieved a systolic blood pressure < 130 mm Hg, less than 12% had a BMI < 25 Kg.m-2 (versus 23% in group A; p < 0.05) and 49%/30% (men/women) had a waist circumference of low risk. CONCLUSION: Improvements in metabolic control among diabetic patients with peripheral vascular disease treated at a primary health care setting is possible, reaching similar results to the patients treated at a specialized level. Despite such an improvement, body weight control remains more than poor in both levels, mainly at primary care level. General practitioner and endocrinologist coordination care may be important to enhance diabetes management in primary care settings. TRIAL REGISTRATION: Clinical Trial number ISRCTN75037597.

Zinnia elegans uses the same peroxidase isoenzyme complement for cell wall lignification in both single-cell tracheary elements and xylem vessels.

The nature of the peroxidase isoenzyme complement responsible for cell wall lignification in both Zinnia elegans seedlings and Z. elegans tracheary single-cell cultures have been studied. Results showed that both hypocotyls and stems from lignifying Z. elegans seedlings express a cell wall-located basic peroxidase of pI approximately 10.2, which was purified to homogeneity. Molecular mass determination under non-denaturing conditions showed an M(r) of about 43 000, similar to that of other plant peroxidases. The purified Z. elegans peroxidase showed absorption maxima at 403 (Soret band), and at 496-501 and 632-635 (alpha and beta absorption bands), indicating that this enzyme is a high spin ferric haem protein, belonging to the plant peroxidase superfamily, the prosthetic group being ferric protoporphyrin IX. The N-terminal amino acid sequence of this Z. elegans basic peroxidase was KVAVSPLS (peptide motif in bold), which shows strong homologies with the N-amino acid terminus of other strongly basic plant peroxidases. Isoenzyme and western blot analyses showed that this peroxidase isoenzyme is also expressed in trans-differentiating Z. elegans tracheary single-cell cultures. The results also showed that Z. elegans tracheary single-cell cultures not only express the same peroxidase isoenzyme as the Z. elegans lignifying xylem, but that this peroxidase isoenzyme acts as a marker of tracheary element differentiation in Z. elegans mesophyll single-cell cultures. From these results, it may be concluded that Z. elegans uses a single programme, i.e. an identical peroxidase isoenzyme complement, for lignification of the xylem, regardless of the existence of different ontogenesis pathways from either mesophyll cells (in the case of tracheary elements) or cambial derivatives (in the case of xylem vessels).

Chemiluminescence assay improves specificity of hepatitis C antibody detection.

BACKGROUND: Antibodies to hepatitis C virus (anti-HCV) have typically been detected by enzyme immunoassay (EIA). A chemiluminescence assay (CA) for anti-HCV is now commercially available. METHODS: We compared the positive rate for a CA in a HCV screening program for veterans with historical rates obtained with EIA. We also compared results in 2824 samples tested by both methods and assessed the significance of low signal-to-cutoff (S/C) ratios. RESULTS: The frequency of CA-positive results was significantly lower than with EIA (12.6% vs 16.0%; P <0.0001). The frequency of low S/C ratios was also significantly lower with CA (11.5% vs 20.0%; P <0.0001). Among low-positive values, samples positive by CA were significantly less likely to be recombinant immunoblot assay (RIBA)-negative (64% vs 84%; P <0.0005). In parallel testing, results for 111 samples (3.9%) were discrepant between the two assays; all but 6 had low S/C ratios, and confirmatory testing was performed on all but 8 samples. Of 56 EIA-positive, CA-negative samples tested by RIBA, only 1 was positive. Of 24 CA-positive, EIA-negative samples, 62% were RIBA-negative. Using a negative RIBA result as an indication of false-positive anti-HCV results, the positive predictive value of EIA was 93% compared with 98% with CA. HCV RNA was positive in 90% of samples high-positive by both CA and EIA. Only 2 of 30 (7%) low-positive CA samples were RNA-positive. CONCLUSIONS: CA produces fewer false-positive and fewer low-positive results that require confirmatory RIBA testing. The S/C ratio remains useful for characterizing positive results.

Low-positive anti-hepatitis C virus enzyme immunoassay results: an important predictor of low likelihood of hepatitis C infection.

BACKGROUND: Tests for hepatitis C antibodies (anti-HCV enzyme immunoassays) are usually described as positive or negative. Several studies, mainly in blood donors, have found that specimens with low signal/cutoff (S/C) ratios are commonly negative when tested with a recombinant immunoblot assay (RIBA) or for HCV RNA. METHODS: We retrospectively reviewed 17 418 consecutive anti-HCV results from a screening program for high-risk veterans; 2986 (17.1%) samples were anti-HCV-positive, and 490 (16.4%) had S/C ratios

Artritis de rodilla por Streptomyces Somaliensis: un caso / Arthritis of knee for streptomyces somaliensis: a case

Se presenta un caso de artritis de rodilla por Streptomyces somaliensis, raro agente causal de micetomas, que predomina en el continente africano. Es el segundo caso encontrado en la Argentina, con aislamiento e identificación microbiológica del agente causal y el único donde se demostró compromiso intra-articular

A gamagrafia da ATM: estudo comparativo com o exame radiográfico na síndrome dor-disfunção / Gamagraphy of the TMJ: comparative study with radiographic examination in pain-dysfunction syndrome

Frente às dificuldades de diagnosticar corretamente afecções da ATM através do emprego de radiografias convencionais, realizamos a correlação entre a exploração radiográfica e a gamagráfica. Para tanto, realizamos o estudo em 150 pacientes que foram divididos em 3 grupos, de acordo com os sintomas que apresentavam, e foram realizadas projeções radiográficas convencionais e gamagráficas. Nos resultados se aprecia que a gamagrafia resulta o melhor método para por em evidência uma afecção do complexo articular têmporo-mandibular, sobretudo em fases iniciais desta enfermidade. Também é possível correlacionar os aumentos de captação radioisotópicas com a gravidade dos sintomas. Entretanto não se deve esquecer que os achados que sugerem patologia articular devem ser avaliados em relação à clínica