Pressure Monitoring Using Hybrid fs/ps Rotational CARS

We investigate the feasibility of gas-phase pressure measurements at kHz-rates using fs/ps rotational CARS. Femtosecond pump and Stokes pulses impulsively prepare a rotational Raman coherence, which is then probed by a high-energy 6-ps pulse introduced at a time delay from the Raman preparation. Rotational CARS spectra were recorded in N2 contained in a room-temperature gas cell for pressures from 0.1 to 3 atm and probe delays ranging from 10-330 ps. Using published self-broadened collisional linewidth data for N2, both the spectrally integrated coherence decay rate and the spectrally resolved decay were investigated as means for detecting pressure. Shot-averaged and single-laser-shot spectra were interrogated for pressure and the accuracy and precision as a function of probe delay and cell pressure are discussed. Single-shot measurement accuracies were within 0.1 to 6.5% when compared to a transducer values, while the precision was generally between 1% and 6% of measured pressure for probe delays of 200 ps or more, and better than 2% as the delay approached 300 ps. A byproduct of the pressure measurement is an independent but simultaneous measurement of the gas temperature

Analisis Faktor yang Mempengaruhi Pendapatan USAhatani Sayuran di Kecamatan Sungai Gelam Kabupaten Muaro Jambi

Penelitian ini bertujuan untuk melihat besarnya pendapatan USAhatani sayuran di Kecamatan Sungai Gelam Kabupaten Muaro Jambi. Pemilihan lokasi penelitian dilakukan dengan sengaja atas dasar pertimbangan bahwa di Kecamatan Sungai Gelam merupakan salah satu daerah yang mengusahakan sayuran terbesar di Kabupaten Muaro Jambi.Sampel dalam penelitian ini adalah petani sayuran di Kecamatan Sungai Gelam Kabupaten Muaro Jambi.Penelitian dilakukan dari tanggal 10 September 2014 sampai dengan tanggal 10 Oktober 2014 dengan menggunakan metode simple random sampling. Hasil penelitian ini menunjukkan bahwa Rata – rata pendapatan USAhatani sayuran petani responden di daerah penelitian yaitu Rp. 21.673.293,87 /Tahun dengan rata – rata luas lahan sebesar 0,26 ha. Data ini menunjukkan bahwa kegiatan USAhatani sayuran yang dilakukan petani di Kecamatan Sungai Gelam Masih berskala kecil.Pendapatan USAhatani sayuran di daerah penelitian secara nyata dipengaruhi oleh variabel luas lahan dan modal dengan nilai koefisien positif.Hal ini berarti semakin tinggi luas lahan dan modal yang digunakan, maka pendapatan USAhatani sayuran tinggi.Sedangkan tenaga kerja tidak memberikan pengaruh secara nyata terhadap pendapatan USAhatani sayuran

Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series

Adaptive management of large herbivores requires an understanding of how spatial-temporal fluctuations in forage biomass and quality influence animal performance. Advances in remote sensing have yielded information about the spatial-temporal dynamics of forage biomass, which in turn have informed rangeland management decisions such as stocking rate and paddock selection for free-ranging cattle. However, less is known about the spatial-temporal patterns of diet quality and their influence on large herbivore performance. This is due to infrequent concurrent ground observations of forage conditions with performance (e.g., mass gain), and previously limited satellite data at fine spatial and temporal scales. We combined multi-temporal field observations of diet quality (weekly) and mass gain (monthly) with satellite-derived phenological metrics (pseudo-daily, using data fusion and interpolation) to model daily mass gains of free-ranging yearling cattle in shortgrass steppe. We used this model to predict grazing season (mid-May to October) mass gains, a key management indicator, across 40 different paddocks grazed over a 10-year period (n = 138). We found strong relationships between diet quality and the satellite-derived phenological metrics, especially metrics related to the timing and rate of green-up and senescence. Satellite-derived diet quality estimates were strong predictors of monthly mass gains (R2 = 0.68) across a wide range of aboveground net herbaceous production. Season-long predictions of average daily gain and cattle off-mass had mean absolute errors of 8.9% and 2.9%, respectively. The model performed better temporally (across repeated observations in the same paddock) than spatially (across all paddocks within a given year), highlighting the need for accurate vegetation maps and robust field data collection across both space and time. This study demonstrates that freeranging cattle performance in rangelands is strongly affected by diet quality, which is related to the timing of vegetation green-up and senescence. Senescing vegetation suppressed mass gains, even if adequate forage was available. The satellite-based pseudo-daily approach presented here offers new opportunities for adaptive management of large herbivores, such as identifying withinseason triggers to move livestock among paddocks, predicting wildlife herd health, or timing the grazing season to better match earlier spring green-up caused by climate change and plant species invasion

Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort

Dietary interventions to manipulate the human gut microbiome for improved health have received increasing attention. However, their design has been limited by a lack of understanding of the quantitative impact of diet on a host’s microbiota. We present a highly controlled diet perturbation experiment in a healthy, human cohort in which individual micronutrients are spiked in against a standardized background. We identify strong and predictable responses of specific microbes across participants consuming prebiotic spike-ins, at the level of both strains and functional genes, suggesting fine-scale resource partitioning in the human gut. No predictable responses to non-prebiotic micronutrients were found. Surprisingly, we did not observe decreases in day-to-day variability of the microbiota compared to a complex, varying diet, and instead found evidence of diet-induced stress and an associated loss of biodiversity. Our data offer insights into the effect of a low complexity diet on the gut microbiome, and suggest that effective personalized dietary interventions will rely on functional, strain-level characterization of a patient’s microbiota

‘Sink or Swim’: A Qualitative Study to Understand How and Why Nurses Adapt to Support the Implementation of Integrated Diabetes Care

Background: Integrated care, organising care delivery within and between services, is an approach to improve the quality of care. Existing specialist roles have evolved to work across settings and services to integrate care. However, there is limited insight into how these expanded roles are implemented, including how they may be shaped by context. This paper examines how new diabetes nurse specialists working across care boundaries, together with hospital-based diabetes nurse specialists, adapt to support the implementation of integrated care. Methods: We conducted semi-structured focus groups and interviews with diabetes nurse specialists purposively sampled by work setting and health service region (n = 30). Analysis was data-driven, coding actions or processes to stay closer to the data and using 'In Vivo' codes to preserve meaning. Findings: Community nurse specialists described facing a choice of “sink or swim” when appointed with limited guidance on their role. To ‘swim’ and implement their role, required them to use their initiative and adapt to the local context. When first appointed, both community and hospital nurse specialists actively managed misconceptions of their role by other staff. To establish clinics in general practices, community nurse specialists capitalised on professional contacts to access GPs who might utilise their role. They built GP trust by adopting practice norms and responding to individual needs. They adapted to the lack of a multidisciplinary team “safety net” in the community, by “practicing at a higher level”, working more autonomously. Developing professional links and pursuing on-going education was a way to create an alternative ‘safety net’ so as to feel confident in their clinical decision-making when working in the community. Workarounds facilitated information flow (i.e. patient blood results, treatment, and appointments) between settings in the absence of an electronic record shared between general practices and hospital settings. Conclusions: Flexibility and innovation facilitates a new way of working across boundaries. Successful implementation of nurse specialist-led integrated care requires strategies to address elements in the inner (differences in practice organisation, role acceptance) and outer (information systems) context

Dietary Microbes Modulate Transgenerational Cancer Risk

Environmental factors are suspected in the increase of obesity and cancer in industrialized countries but are poorly understood. Here, we used animal models to test how future generations may be affected by Westernized diets. We discover long-term consequences of grandmothers' in utero dietary exposures, leading to high rates of obesity and frequent cancers of lung and liver in two subsequent generations of mice. Transgenerational effects were transplantable using diet-associated bacteria communities alone. Consequently, feeding of beneficial microbes was sufficient to lower transgenerational risk for cancer and obesity regardless of diet history. Targeting microbes may be a highly effective population-based approach to lower risk for cancer.National Institutes of Health (U.S.) (RO1CA108854)National Institutes of Health (U.S.) (U01 CA164337)National Institutes of Health (U.S.) (P30-ES002109

Recurrent Clostridium difficile infection associates with distinct bile acid and microbiome profiles

Background: The healthy microbiome protects against the development of Clostridium difficile infection (CDI), which typically develops following antibiotics. The microbiome metabolises primary to secondary bile acids, a process if disrupted by antibiotics, may be critical for the initiation of CDI. Aim: To assess the levels of primary and secondary bile acids associated with CDI and associated microbial changes. Methods: Stool and serum were collected from patients with (i) first CDI (fCDI), (ii) recurrent CDI (rCDI) and (iii) healthy controls. 16S rRNA sequencing and bile salt metabolomics were performed. Random forest regression models were constructed to predict disease status. PICRUSt analyses were used to test for associations between predicted bacterial bile salt hydrolase (BSH) gene abundances and bile acid levels. Results: Sixty patients (20 fCDI, 19 rCDI and 21 controls) were enrolled. Secondary bile acids in stool were significantly elevated in controls compared to rCDI and fCDI (P < 0.0001 and P = 0.0007 respectively). Primary bile acids in stool were significantly elevated in rCDI compared to controls (P < 0.0001) and in rCDI compared to fCDI (P = 0.02). Using random forest regression, we distinguished rCDI and fCDI patients 84.2% of the time using bile acid ratios. Stool deoxycholate to glycoursodeoxycholate ratio was the single best predictor. PICRUSt analyses found significant differences in predicted abundances of bacterial BSH genes in stool samples across the groups. Conclusions: Primary and secondary bile acid composition in stool was different in those with rCDI, fCDI and controls. The ratio of stool deoxycholate to glycoursodeoxycholate was the single best predictor of disease state and may be a potential biomarker for recurrence.American College of Gastroenterology (Clinical Research Award ACGJR-017-2015

Akt phosphorylates insulin receptor substrate to limit PI3K-mediated PIP3 synthesis.

The phosphoinositide 3-kinase (PI3K)-Akt network is tightly controlled by feedback mechanisms that regulate signal flow and ensure signal fidelity. A rapid overshoot in insulin-stimulated recruitment of Akt to the plasma membrane has previously been reported, which is indicative of negative feedback operating on acute timescales. Here, we show that Akt itself engages this negative feedback by phosphorylating insulin receptor substrate (IRS) 1 and 2 on a number of residues. Phosphorylation results in the depletion of plasma membrane-localised IRS1/2, reducing the pool available for interaction with the insulin receptor. Together these events limit plasma membrane-associated PI3K and phosphatidylinositol (3,4,5)-trisphosphate (PIP3) synthesis. We identified two Akt-dependent phosphorylation sites in IRS2 at S306 (S303 in mouse) and S577 (S573 in mouse) that are key drivers of this negative feedback. These findings establish a novel mechanism by which the kinase Akt acutely controls PIP3 abundance, through post-translational modification of the IRS scaffold

Open Science principles for accelerating trait-based science across the Tree of Life.

Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly. Yet accessing and integrating disparate data sources remains a considerable challenge, slowing progress toward a global synthesis to integrate trait data across organisms. Trait science needs a vision for achieving global integration across all organisms. Here, we outline how the adoption of key Open Science principles-open data, open source and open methods-is transforming trait science, increasing transparency, democratizing access and accelerating global synthesis. To enhance widespread adoption of these principles, we introduce the Open Traits Network (OTN), a global, decentralized community welcoming all researchers and institutions pursuing the collaborative goal of standardizing and integrating trait data across organisms. We demonstrate how adherence to Open Science principles is key to the OTN community and outline five activities that can accelerate the synthesis of trait data across the Tree of Life, thereby facilitating rapid advances to address scientific inquiries and environmental issues. Lessons learned along the path to a global synthesis of trait data will provide a framework for addressing similarly complex data science and informatics challenges