Submillimetre/TeraHertz Astronomy at Dome C with CEA filled bolometer array

Submillimetre/TeraHertz (e.g. 200, 350, 450 microns) astronomy is the prime technique to unveil the birth and early evolution of a broad range of astrophysical objects. A major obstacle to carry out submm observations from ground is the atmosphere. Preliminary site testing and atmospheric transmission models tend to demonstrate that Dome C could offer the best conditions on Earth for submm/THz astronomy. The CAMISTIC project aims to install a filled bolometer-array camera with 16x16 pixels on IRAIT at Dome C and explore the 200-$\mu$m windows for potential ground-based observations.Comment: 6 page

Propuesta de Implementación de logística inversa para reducir costos por compra de envases nuevos en la empresa Agua de Mesa "Es Vital" Casma 2021

El objetivo de la investigación fue realizar una propuesta de logística inversa para reducir costos por compra de envases nuevos en la empresa Agua de Mesa "Es Vital" Casma 2021. La metodología fue cuantitativa, aplicada y de diseño preexperimental. Se trabajó con una muestra de bidones de 20 litros vendidos y recolectados durante un mes. Se realizó el diagnóstico de la condición inicial de la logística inversa y los costos asociados a la compra de bidones nuevos, a partir del cual se propusieron mejoras y luego se corroboró el efecto de estas sobre los costos por compra de bidones nuevos. La empresa cumplió inicialmente con el 71.43% de los requisitos de la logística inversa, con un porcentaje de bidones no aptos de 7.74% y gastos asociados de 57.08% de las ganancias. Se propuso mejoras en la inspección y el almacenamiento, con las que se logró cumplir con el 100% de los requisitos de la logística inversa, un 3.04% de bidones no aptos y costos de 29.98% de las ganancias, una disminución de 27.1% en los costos, lo cual corresponde en soles a S/. 2159.36. Se comprobó que al mejorar la logística inversa se disminuye los costos por compra de bidones nuevos en la empresa Agua de Mesa “Es Vital”

Efficacy and safety data based on historical or pre-existing conditions at baseline for patients with active rheumatoid arthritis who were treated with baricitinib

This study was funded by Eli Lilly and Company and Incyte Corporatio

Structural and optical analyses of GaP/Si and (GaAsPN/GaPN)/GaP/Si nanolayers for integrated photonics on silicon

International audienceWe report a structural study of molecular beam epitaxy-grown lattice-matched GaP/Si(0 0 1) thin layers with an emphasis on the interfacial structural properties, and optical studies of GaAsP(N)/GaP(N) quantum wells coherently grown onto the GaP/Si pseudo substrates, through a complementary set of characterization tools. Room temperature photoluminescence at 780 nm from the (GaAsPN/GaPN) quantum wells grown onto a silicon substrate is reported. Despite this good property, the time-resolved photoluminescence measurements demonstrate a clear influence of non-radiative defects initiated at the GaP/Si interface. It is shown from simulations, how x-ray diffraction can be used efficiently for analysis of antiphase domains. Then, qualitative and quantitative analyses of antiphase domains, micro-twins, and stacking faults are reported using complementarity of the local transmission electron microscopy and the statistical x-ray diffraction approaches

Maternal prebiotic supplementation impacts colitis development in offspring mice

Background and aimsMaternal diet plays a key role in preventing or contributing to the development of chronic diseases, such as obesity, allergy, and brain disorders. Supplementation of maternal diet with prebiotics has been shown to reduce the risk of food allergies and affect the intestinal permeability in offspring later in life. However, its role in modulating the development of other intestinal disorders, such as colitis, remains unknown. Therefore, we investigated the effects of prebiotic supplementation in pregnant mice on the occurrence of colitis in their offspring.Materials and methodsOffspring from mothers, who were administered prebiotic galacto-oligosaccharides and inulin during gestation or fed a control diet, were subjected to three cycles of dextran sulphate sodium (DSS) treatment to induce chronic colitis, and their intestinal function and disease activity were evaluated. Colonic remodelling, gut microbiota composition, and lipidomic and transcriptomic profiles were also assessed.ResultsDSS-treated offspring from prebiotic-fed mothers presented a higher disease score, increased weight loss, and increased faecal humidity than those from standard diet-fed mothers. DSS-treated offspring from prebiotic-fed mothers also showed increased number of colonic mucosal lymphocytes and macrophages than the control group, associated with the increased colonic concentrations of resolvin D5, protectin DX, and 14-hydroxydocosahexaenoic acid, and modulation of colonic gene expression. In addition, maternal prebiotic supplementation induced an overabundance of eight bacterial families and a decrease in the butyrate caecal concentration in DSS-treated offspring.ConclusionMaternal prebiotic exposure modified the microbiota composition and function, lipid content, and transcriptome of the colon of the offspring. These modifications did not protect against colitis, but rather sensitised the mice to colitis development

2000 Ohio-Grape Wine Short Course

Air, water, sun, and fire--the cooper's footprint on the barrel / Henry Work -- Keeping the bugs unhappy; successful barrel sanitation and maintenance / Henry Work -- Recommended methods for cleaning and maintaining oak cooperage / Phil Burton and Henry Work, with Jim Yerkes -- Chip me, stave me, oak me! The romance, dollars and sense of barrel alternatives / Tim DiPlacido -- Oak experiments / Roland Riesen -- Barrel experiment / Nick Ferrante -- Exploring the versatility and potential of vidal / Roland Riesen -- Ferrante: 1999 vineyard planting / Nick Ferrante -- Breeding rootstocks for current and impending viticultural problems / Andrew Walker -- Grape expectations looking toward traditional and non-traditional sponsors to enhance your event / Doniella Winchell -- Assessing grape maturity by taste and by numbers / Thomas Henick-Kling -- Influence of fruit condition on wine quality / James F. Gallander -- Influence of post bottling storage temperature and SO2 on wine quality / T. E. Steiner -- What we do at harvest to help wine quality / Tony Debevc -- Delivering wine quality / Nick Ferrante -- Criteria for selecting rootstocks / Andrew Walker -- A comparison of Pinot noir production in New York and Burgundy / Pascal Durand and Leslie Weston -- A unique approach to harvest labor / Fran Massaro -- New fungicide registrations for grapes in the year 2000 / Michael Ellis -- Studies to determine time of susceptibility of grape berry and rachis tissues to infection by Phomopsis viticola / O. Erincik, L. V. Madden, D. C. Ferree and M. A. Ellis -- Rootstock performance in Ohio / Arnie Esterer -- Growing your own: vinifera grafting experiments (1999) / Ron Barrett -- Developing an effective fungicide spray program for wine grapes in Ohio / Michael Ellis -- Light and fruit set / David C. Ferree, David M. Scurlock and John C. Schmid -- Soil amendments and mulches in tree health management / Harry Hoitink, Matthew Krause and Randy Zondag -- Report of 5th International Symposium on Cool Climate Viticulture and Enology / Roland Riesen -- Control strategies for soil insects in the vineyard / Roger Williams and Dan Fickl

Challenges and opportunities to capture dietary effects in on-farm greenhouse gas emissions models of ruminant systems

This paper reviews existing on-farm GHG accounting models for dairy cattle systems and their ability to capture the effect of dietary strategies in GHG abatement. The focus is on methane (CH4) emissions from enteric and manure (animal excreta) sources and nitrous oxide (N2O) emissions from animal excreta. We identified three generic modelling approaches, based on the degree to which models capture diet-related characteristics: from ‘none’ (Type 1) to ‘some’ by combining key diet parameters with emission factors (EF) (Type 2) to ‘many’ by using process-based modelling (Type 3). Most of the selected on-farm GHG models have adopted a Type 2 approach, but a few hybrid Type 2 / Type 3 approaches have been developed recently that combine empirical modelling (through the use of CH4 and/or N2O emission factors; EF) and process-based modelling (mostly through rumen and whole tract fermentation and digestion). Empirical models comprising key dietary inputs (i.e., dry matter intake and organic matter digestibility) can predict CH4 and N2O emissions with reasonable accuracy. However, the impact of GHG mitigation strategies often needs to be assessed in a more integrated way, and Type 1 and Type 2 models frequently lack the biological foundation to do this. Only Type 3 models represent underlying mechanisms such as ruminal and total-tract digestive processes and excreta composition that can capture dietary effects on GHG emissions in a more biological manner. Overall, the better a model can simulate rumen function, the greater the opportunity to include diet characteristics in addition to commonly used variables, and thus the greater the opportunity to capture dietary mitigation strategies. The value of capturing the effect of additional animal feed characteristics on the prediction of on-farm GHG emissions needs to be carefully balanced against gains in accuracy, the need for additional input and activity data, and the variability encountered on-farm

Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Effects

Many studies have been carried out during the last decade to study the effect of climate change on crop yields and other key crop characteristics. In these studies, one or several crop models were used to simulate crop growth and development for different climate scenarios that correspond to different projections of atmospheric CO2 concentration, temperature, and rainfall changes (Semenov et al., 1996; Tubiello and Ewert, 2002; White et al., 2011). The Agricultural Model Intercomparison and Improvement Project (AgMIP; Rosenzweig et al., 2013) builds on these studies with the goal of using an ensemble of multiple crop models in order to assess effects of climate change scenarios for several crops in contrasting environments. These studies generate large datasets, including thousands of simulated crop yield data. They include series of yield values obtained by combining several crop models with different climate scenarios that are defined by several climatic variables (temperature, CO2, rainfall, etc.). Such datasets potentially provide useful information on the possible effects of different climate change scenarios on crop yields. However, it is sometimes difficult to analyze these datasets and to summarize them in a useful way due to their structural complexity; simulated yield data can differ among contrasting climate scenarios, sites, and crop models. Another issue is that it is not straightforward to extrapolate the results obtained for the scenarios to alternative climate change scenarios not initially included in the simulation protocols. Additional dynamic crop model simulations for new climate change scenarios are an option but this approach is costly, especially when a large number of crop models are used to generate the simulated data, as in AgMIP. Statistical models have been used to analyze responses of measured yield data to climate variables in past studies (Lobell et al., 2011), but the use of a statistical model to analyze yields simulated by complex process-based crop models is a rather new idea. We demonstrate herewith that statistical methods can play an important role in analyzing simulated yield data sets obtained from the ensembles of process-based crop models. Formal statistical analysis is helpful to estimate the effects of different climatic variables on yield, and to describe the between-model variability of these effects

Procalcitonin Is Not a Reliable Biomarker of Bacterial Coinfection in People With Coronavirus Disease 2019 Undergoing Microbiological Investigation at the Time of Hospital Admission

Abstract Admission procalcitonin measurements and microbiology results were available for 1040 hospitalized adults with coronavirus disease 2019 (from 48 902 included in the International Severe Acute Respiratory and Emerging Infections Consortium World Health Organization Clinical Characterisation Protocol UK study). Although procalcitonin was higher in bacterial coinfection, this was neither clinically significant (median [IQR], 0.33 [0.11–1.70] ng/mL vs 0.24 [0.10–0.90] ng/mL) nor diagnostically useful (area under the receiver operating characteristic curve, 0.56 [95% confidence interval, .51–.60]).</jats:p