New records of Arundo micrantha Lam. (Poaceae) from Valencian Community (Spain)

Se citen noves poblacions d'Arundo micrantha Lam. (Poaceae) localitzades a les províncies de Castelló i València (Espanya).New records of Arundo micrantha Lam. (Poaceae) from Castellón and Valencia provinces are cited

Metabolic Profile of F1 Holstein × Zebu Lactating Dairy Cows Under Grazing Supplemented with Two Non-Protein Nitrogen Sources: Perfil metabólico de vacas lactantes F1 Holstein × Cebú a pastoreo suplementadas con dos fuentes de nitrógeno no proteico

Pastures dedicated to cattle production in Venezuela have a low crude protein concentration. One of the nutritional strategies to correct the forage protein deficit is using non-protein nitrogen in the diet. To evaluate the effect of two non-protein nitrogen sources on the metabolic profile of lactating dairy cows, 31 F1 Holstein × Zebu multiparous cows averaging 419 ± 46 kg body weight and 17.1 ± 3.3 kg milk·animal·d-1 were randomly assigned to two treatments for 91 days: 1) 59 g·animal-1·d-1 of urea and 2) 64 g·animal-1·d-1 of Optigen II® as slow-release urea (SRU). The animals were grazing (2.12 AU·ha-1) on Urochloa decumbens, U. humidicola, and U. brizantha (7.98-9.61 % CP) and supplied with 4 kg·animal·d-1 of concentrate (15 % CP), and 108, 60, and 108 g·animal·d-1 of mineral, molasses, and bypass fat, respectively. Glucose, total protein, albumin, cholesterol, urea, and β-hydroxybutyrate concentrations, aspartate aminotransferase, and gamma-glutamyl transferase activities were determined in blood serum samples every 28 days. ANOVA analyzed data in a completely randomized design with repeated measures. There were no differences among treatments in the parameters investigated; however, collecting time influenced all of them. No treatment × time interactions were found except for albumin concentration, higher in urea at day 0. The results indicate that under the conditions assayed in the present work, Optigen II® offers no advantage over urea concerning blood indicators of energy and protein metabolism and hepatic functionality in dairy cows.Los pastos dedicados a la producción ganadera en Venezuela tienen una baja concentración de proteína cruda. Una de las estrategias nutricionales para corregir el déficit de proteína del forraje es el uso de nitrógeno no proteico en la dieta. Con el objetivo de evaluar el efecto de dos fuentes nitrógeno no proteico sobre el perfil metabólico de vacas lecheras lactantes, 31 vacas F1 Holstein × Cebú multíparas con promedios de 419 ± 46 kg de peso vivo y 17,1 ± 3,3 kg leche/animal·d-1 se asignaron de forma aleatoria a dos tratamientos durante 91 días: 1) 59 g·animal·d-1 de urea y 2) 64 g·animal·d-1 de Optigen II® como fuente de urea de degradación lenta (UDL). Los animales pastaron (2,12 AU·ha-1) en Urochloa decumbens, U. humidicola y U. brizantha (7,98-9,61 % PC); adicionalmente, se les suministraba 4 kg·animal·d-1 de alimento concentrado (15 % PC) y 108, 60 y 108 g·animal·d-1 de mineral, melaza y grasa sobrepasante, respectivamente. Cada 28 días se determinó en suero sanguíneo las concentraciones de glucosa, proteínas totales, albúmina, colesterol, urea, β-hidroxibutirato, y la actividad de las enzimas aspartato aminotransferasa y gamma-glutamil transferasa. Los datos se analizaron mediante ANAVAR bajo un diseño completamente al azar con medidas repetidas. No hubo diferencias entre los tratamientos en las variables estudiadas; sin embargo, el tiempo de muestreo influyó en todas ellas. No se observaron interacciones tratamiento × tiempo, excepto para la concentración de albúmina, que fue mayor en urea en el día 0. Los resultados obtenidos indican que bajos las condiciones experimentales del presente trabajo, Optigen II® no ofrece ventajas adicionales sobre la urea con respecto a los indicadores sanguíneos del metabolismo energético y proteico y de la funcionalidad hepática en vacas lecheras.

Economic evaluation of several commercial compounded concentrates as supplements for growing crossbred heifers in confinement

To evaluate three different supplements in terms of body growth and economic benefit, 21 crossbred heifers of initial body weight (BW) 198.4 ± 49.5 kg (yearlings) and 280.4 ± 19.3 kg (older animals) were assigned to three balanced groups for use in an 84-d experiment, conducted in a tropical dry forest climatic zone. The individually penned animals received water and fresh gramineous forage cut daily ad libitum; also, a daily supplement of 2 kg of one of the three commercial concentrates: (T0, T1, and T2) of respective percentage composition (CP 19.2, 14.5, and 16.2; Ca 1.83, 3.59, and 1.81; P 1.75, 1.52, and 1.77). Wither height was measured fortnightly and BW, supplement intake (SI) and forage intake (FI) were determined weekly. Data were analyzed according to a completely randomized experimental design, with repeated observations, and Tukey HSD test. The economic evaluation was based on the criteria partial budget and gross margin, in which three animal selling prices (7.1, 40, and 70 Bs/kg BW) were tested. Daily BW gain (mean 0.52 kg) did not differ (P > 0.05) among treatments. SI was complete in all three treatments. FI also showed no treatment effects with respective means of 11.22, 11.28, and 11.26 kg/d as fed. The economic evaluation revealed that the best biological performance does not always coincide with the greatest economic benefit and that selection of the most favorable supplement depends on the animal selling price. When the latter was six times the cost of the supplement (kg/kg) supplementation was profitable

Fertilidade do solo em sistemas silvipastoris integrando leguminosas arbóreas com capim-braquiária (Urochloa decumbens Stapf. R. Webster)

Silvopastoral Systems (SPS) can increase overall productivity and generate continuous income in order to stimulate simultaneous growth and development of trees, forage and livestock. Moreover, the SPS with tree legumes would be important for add nutrients to the system, mainly N, and ensure the soil health and quality. Soil properties were assessed in two SPS, implanted in 2011, using tree legumes and Urochloa decumbens Stapf. R. Webster (Signalgrass). Treatments were Signalgrass + Mimosa caesalpiniifolia Benth (Sabia) and Signalgrass + Gliricidia sepium (Jacq.) Kunth ex Walp. (Gliricidia), and they were allocated in a randomized complete block design, with three replications. Soil was sampled in 2013, 2017, and 2018, at 0, 4, and 8 m along transects perpendicular to tree double rows, from 0- to 20- and 20- to 40-cm layers. Soil chemical properties included pH, P, K+, Ca2+, Mg2+, Al3+, H++Al3+, cation exchange capacity (CEC), and base saturation. In addition, light fraction of soil organic matter (LF-SOM), soil basal respiration (SBR), and natural abundance of 13C of the respired CO2 (δ13C-CO2) were analyzed. Soil pH (5.3, 5.2, 5.1), P (11.3, 7.2, 3.6 mg dm-3), and CECeffective (5.8, 5.1, 5.0 cmolc dm-3) decreased (P < 0.05) along the years 2013, 2017, and 2018, respectively. In 2018, the LF-SOM and δ13C-CO2 was greater in Sabia (1.1 g kg-1 and -16.4‰) compared to Gliricidia (0.7 g kg-1 and -18.2‰). Silvopastoral systems reduced soil fertility regardless of the tree legume species used as result of biomass nutrient stock, without maintenance fertilization. Sabia had greater deposition of LF-SOM, without increasing SBR, providing potential for microbial C use efficiency. Enriched C-CO2 isotope composition shows an efficient SOM oxidize in SPS with Gliricidia or Sabia. This information can contribute to the assessments related to CO2 balance and C retention. Both SPS contribute to C sequestration.Los Sistemas Silvopastoriles (SSP) pueden aumentar la productividad general y generar ingresos. Además, SSP con leguminosas arbóreas adicionan nutrientes al sistema, principalmente N, asegurando la salud y calidad del suelo. Propiedades del suelo fueron evaluadas en dos SSP utilizando leguminosas arbóreas en asociación con Urochloa decumbens Stapf. R. Webster (Barrera). Los tratamientos fueron Barrera + Mimosa caesalpiniifolia Benth (Sabiá) y Barrera + Gliricidia sepium (Jacq.) Kunth ex Walp. (Gliricidia), distribuidos en un diseño de bloques aleatorizados (tres repeticiones). Se realizaron colectas de suelo en los años 2013, 2017 y 2018, a 0, 4 y 8 m en transectos perpendiculares a las hileras de árboles, en las profundidades de 0-20 y 20-40 cm. Propiedades químicas del suelo evaluadas incluyeron pH, P, K+, Ca2+, Mg2+, Al3+, H++Al3+, capacidad de intercambio catiónico (CIC) y saturación de bases. Se analizaron la fracción activa de la materia orgánica (FA-MOS), respiración basal (RBS) y abundancia natural de 13C del CO2 respirado (δ13C-CO2). El pH (5.3, 5.2, 5.1), P (11.3, 7.2, 3.6 mg dm-3) y la CICefectiva (5.8, 5.1, 5.0 cmolc dm-3) disminuyeron (P < 0.05) a través de los años 2013, 2017 y 2018, respectivamente. En 2018, la FA-MOS y δ13C-CO2 fue mayor en Sabiá (1,1 g kg-1 y -16,4‰) comparada con Gliricidia (0,7 g kg-1 y -18,2‰). Los SSP redujeron la fertilidad del suelo independientemente de las especies arbóreas utilizadas como resultado de la reserva de nutrientes de la biomasa, sin fertilización de mantenimiento. Sabiá tuvo mayor deposición de FA-MOS, sin aumentar RBS, favoreciendo potencialmente la eficiencia del uso de C microbiano. La composición isotópica de C-CO2 enriquecida muestra una oxidación eficiente de la MOS en SSP con Gliricidia o Sabiá. Esta información puede contribuir a las evaluaciones relacionadas con el balance de CO2 y retención de C. Ambos SSP contribuyen al secuestro de C.Os Sistemas Silvipastoris (SSP) podem aumentar a produtividade e gerar renda. Também, SSP com leguminosas arbóreas adicionam nutrientes ao sistema, principalmente N, garantindo a saúde e qualidade do solo. Propriedades do solo foram avaliadas em dois SSP utilizando leguminosas arbóreas em consorcio com Urochloa decumbens Stapf. R. Webster (capim-braquiaria). Os tratamentos foram capim-braquiária + Mimosa caesalpiniifolia Benth (Sabiá) e capim-braquiária + Gliricidia sepium (Jacq.) Kunth ex Walp. (Gliricídia), sendo distribuídos em delineamento casualizado em blocos (três repetições). Coletas de solo foram realizadas nos anos 2013, 2017 e 2018, a 0, 4 e 8 m ao longo de transectos perpendiculares às fileiras duplas de árvores, nas profundidades de 0-20 e 20-40 cm. As propriedades químicas do solo avaliadas incluíram pH, P, K+, Ca2+, Mg2+, Al3+, H++Al3+, capacidade de troca de cátions (CTC) e saturação por bases. Foram analisadas a fração leve da matéria orgânica (FL-MOS), a respiração basal (RBS) e a abundância natural do 13C do CO2 respirado (δ13C-CO2). O pH (5,3; 5,2; 5,1), P (11,3; 7,2; 3,6 mg dm-3) e CTCefetiva (5,8; 5,1; 5,0 cmolc dm-3) diminuíram (P < 0,05) ao longo dos anos 2013, 2017 e 2018, respectivamente. No 2018, a FL-MOS e δ13C-CO2 foi maior em Sabiá (1,1 g kg-1 e -16,4‰) em comparação com Gliricídia (0,7 g kg-1 e -18,2‰). Os SSP reduziram a fertilidade do solo independentemente das espécies arbóreas utilizadas em decorrência do estoque de nutrientes da biomassa, sem adubação de manutenção. Sabiá teve maior deposição de FL-MOS, sem aumentar a RBS, proporcionando potencial para a eficiência do uso do C microbiano. A composição enriquecida de isótopos de C-CO2 mostra uma eficiente oxidação da MOS em SSP com Gliricídia ou Sabiá. Essas informações podem contribuir para as avaliações relacionadas ao balanço de CO2 e retenção de C. Ambos SSP contribuem para o sequestro de C

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

A First Search for coincident Gravitational Waves and High Energy Neutrinos using LIGO, Virgo and ANTARES data from 2007

We present the results of the first search for gravitational wave bursts associated with high energy neutrinos. Together, these messengers could reveal new, hidden sources that are not observed by conventional photon astronomy, particularly at high energy. Our search uses neutrinos detected by the underwater neutrino telescope ANTARES in its 5 line configuration during the period January - September 2007, which coincided with the fifth and first science runs of LIGO and Virgo, respectively. The LIGO-Virgo data were analysed for candidate gravitational-wave signals coincident in time and direction with the neutrino events. No significant coincident events were observed. We place limits on the density of joint high energy neutrino - gravitational wave emission events in the local universe, and compare them with densities of merger and core-collapse events.Comment: 19 pages, 8 figures, science summary page at http://www.ligo.org/science/Publication-S5LV_ANTARES/index.php. Public access area to figures, tables at https://dcc.ligo.org/cgi-bin/DocDB/ShowDocument?docid=p120000

It is time to define an organizational model for the prevention and management of infections along the surgical pathway : a worldwide cross-sectional survey

Background The objectives of the study were to investigate the organizational characteristics of acute care facilities worldwide in preventing and managing infections in surgery; assess participants' perception regarding infection prevention and control (IPC) measures, antibiotic prescribing practices, and source control; describe awareness about the global burden of antimicrobial resistance (AMR) and IPC measures; and determine the role of the Coronavirus Disease 2019 pandemic on said awareness. Methods A cross-sectional web-based survey was conducted contacting 1432 health care workers (HCWs) belonging to a mailing list provided by the Global Alliance for Infections in Surgery. The self-administered questionnaire was developed by a multidisciplinary team. The survey was open from May 22, 2021, and June 22, 2021. Three reminders were sent, after 7, 14, and 21 days. Results Three hundred four respondents from 72 countries returned a questionnaire, with an overall response rate of 21.2%. Respectively, 90.4% and 68.8% of participants stated their hospital had a multidisciplinary IPC team or a multidisciplinary antimicrobial stewardship team. Local protocols for antimicrobial therapy of surgical infections and protocols for surgical antibiotic prophylaxis were present in 76.6% and 90.8% of hospitals, respectively. In 23.4% and 24.0% of hospitals no surveillance systems for surgical site infections and no monitoring systems of used antimicrobials were implemented. Patient and family involvement in IPC management was considered to be slightly or not important in their hospital by the majority of respondents (65.1%). Awareness of the global burden of AMR among HCWs was considered very important or important by 54.6% of participants. The COVID-19 pandemic was considered by 80.3% of respondents as a very important or important factor in raising HCWs awareness of the IPC programs in their hospital. Based on the survey results, the authors developed 15 statements for several questions regarding the prevention and management of infections in surgery. The statements may be the starting point for designing future evidence-based recommendations. Conclusion Adequacy of prevention and management of infections in acute care facilities depends on HCWs behaviours and on the organizational characteristics of acute health care facilities to support best practices and promote behavioural change. Patient involvement in the implementation of IPC is still little considered. A debate on how operationalising a fundamental change to IPC, from being solely the HCWs responsibility to one that involves a collaborative relationship between HCWs and patients, should be opened.Peer reviewe

It is time to define an organizational model for the prevention and management of infections along the surgical pathway: a worldwide cross-sectional survey

Background The objectives of the study were to investigate the organizational characteristics of acute care facilities worldwide in preventing and managing infections in surgery; assess participants' perception regarding infection prevention and control (IPC) measures, antibiotic prescribing practices, and source control; describe awareness about the global burden of antimicrobial resistance (AMR) and IPC measures; and determine the role of the Coronavirus Disease 2019 pandemic on said awareness. Methods A cross-sectional web-based survey was conducted contacting 1432 health care workers (HCWs) belonging to a mailing list provided by the Global Alliance for Infections in Surgery. The self-administered questionnaire was developed by a multidisciplinary team. The survey was open from May 22, 2021, and June 22, 2021. Three reminders were sent, after 7, 14, and 21 days. Results Three hundred four respondents from 72 countries returned a questionnaire, with an overall response rate of 21.2%. Respectively, 90.4% and 68.8% of participants stated their hospital had a multidisciplinary IPC team or a multidisciplinary antimicrobial stewardship team. Local protocols for antimicrobial therapy of surgical infections and protocols for surgical antibiotic prophylaxis were present in 76.6% and 90.8% of hospitals, respectively. In 23.4% and 24.0% of hospitals no surveillance systems for surgical site infections and no monitoring systems of used antimicrobials were implemented. Patient and family involvement in IPC management was considered to be slightly or not important in their hospital by the majority of respondents (65.1%). Awareness of the global burden of AMR among HCWs was considered very important or important by 54.6% of participants. The COVID-19 pandemic was considered by 80.3% of respondents as a very important or important factor in raising HCWs awareness of the IPC programs in their hospital. Based on the survey results, the authors developed 15 statements for several questions regarding the prevention and management of infections in surgery. The statements may be the starting point for designing future evidence-based recommendations. Conclusion Adequacy of prevention and management of infections in acute care facilities depends on HCWs behaviours and on the organizational characteristics of acute health care facilities to support best practices and promote behavioural change. Patient involvement in the implementation of IPC is still little considered. A debate on how operationalising a fundamental change to IPC, from being solely the HCWs responsibility to one that involves a collaborative relationship between HCWs and patients, should be opened

Event reconstruction for KM3NeT/ORCA using convolutional neural networks

The KM3NeT research infrastructure is currently under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino detector off the French coast will instrument several megatons of seawater with photosensors. Its main objective is the determination of the neutrino mass ordering. This work aims at demonstrating the general applicability of deep convolutional neural networks to neutrino telescopes, using simulated datasets for the KM3NeT/ORCA detector as an example. To this end, the networks are employed to achieve reconstruction and classification tasks that constitute an alternative to the analysis pipeline presented for KM3NeT/ORCA in the KM3NeT Letter of Intent. They are used to infer event reconstruction estimates for the energy, the direction, and the interaction point of incident neutrinos. The spatial distribution of Cherenkov light generated by charged particles induced in neutrino interactions is classified as shower- or track-like, and the main background processes associated with the detection of atmospheric neutrinos are recognized. Performance comparisons to machine-learning classification and maximum-likelihood reconstruction algorithms previously developed for KM3NeT/ORCA are provided. It is shown that this application of deep convolutional neural networks to simulated datasets for a large-volume neutrino telescope yields competitive reconstruction results and performance improvements with respect to classical approaches

Event reconstruction for KM3NeT/ORCA using convolutional neural networks

The KM3NeT research infrastructure is currently under construction at two locations in the Mediterranean Sea. The KM3NeT/ORCA water-Cherenkov neutrino de tector off the French coast will instrument several megatons of seawater with photosensors. Its main objective is the determination of the neutrino mass ordering. This work aims at demonstrating the general applicability of deep convolutional neural networks to neutrino telescopes, using simulated datasets for the KM3NeT/ORCA detector as an example. To this end, the networks are employed to achieve reconstruction and classification tasks that constitute an alternative to the analysis pipeline presented for KM3NeT/ORCA in the KM3NeT Letter of Intent. They are used to infer event reconstruction estimates for the energy, the direction, and the interaction point of incident neutrinos. The spatial distribution of Cherenkov light generated by charged particles induced in neutrino interactions is classified as shower-or track-like, and the main background processes associated with the detection of atmospheric neutrinos are recognized. Performance comparisons to machine-learning classification and maximum-likelihood reconstruction algorithms previously developed for KM3NeT/ORCA are provided. It is shown that this application of deep convolutional neural networks to simulated datasets for a large-volume neutrino telescope yields competitive reconstruction results and performance improvements with respect to classical approaches