1,353 research outputs found
Arbuscular mycorrhizae inoculation of einkorn wheat affects fatty acid, nutrient and mineral concentrations
The purpose of this study was to determine the effect of arbuscular mycorrhizae (AM) inoculation, which was administered to increase the quality of einkorn wheat in its fatty acid composition, quality and mineral concentration. Wheat grown from AM inoculated seed (AM+) had increased the dry matter (DM), iron (Fe), monounsaturated fatty acids (MUFA), especially oleic acid, and alpha-linolenic acid, and cis-5,-8,-11,-14, and cis-17 eicosapentaenoic acid from polyunsaturated fatty acids (PUFA) (P <0.05), but decreased crude ash (CA), potassium (K), and total saturated fatty acids (UFA), especially myristic acid, palmitic acid, stearic acid and monounsaturated fatty acids, especially cis-palmitoleic acid, cis-10-heptadecenoic acid, cis-11 eicosenoic acid, erucic acid, and linoleic acid (P <0.05) compared with einkorn wheat grown from non-inoculated seed (AM-). Crude protein (CP) content ranged from 10.56% to 10.68%, and ether extract (EE) content varied between 2.03% and 2.41%, neither of which was significantly different between treatments. Significant increases were observed in UFA, and in the ratios of UFA to SFA and PUFA to SFA in AM+ compared with AM-.
Keywords: mycorrhizal inoculation, nutrient composition, Triticum monococcu
Data describing the eco-physiological responses of Elaeagnus angustifolia grown under contrasting regime of water and fertilizer in coal-mined spoils
To improve our understanding of how coal mining areas can be re-vegetated and ecosystem function restored, we examined the potential effects of five water (W) regimes (40, 50, 60, 70 and 80% of field capacity), five nitrogen (N) (0, 24, 60, 96 and 120 mg kg‒1 soil) and five phosphorus (P) fertilizer doses (0, 36, 90, 144 and 180 mg kg‒1 soil), which control the growth and development of Elaeagnus angustifolia under adverse environmental conditions. To optimize the W-N-P application rate, three factors and five levels of central composite design along with an optimization technique named response surface methodology were utilized. Here we provide data on root-shoot biomass ratio, leaf dry matter content, stomatal conductance, chlorophyll (Chl) a, Chl b, membrane stability index and soluble protein content of E. angustifolia. The data described in this article are available in Mendeley Data, DOI: 10.17632/2vfbrdxyf2.2 [1]. These data could be used to evaluate the improvement in growth performance of E. angustifolia subjected to various regimes of W, N and P. This dataset showed that E. angustifolia grew optimally in coal-mine spoils when irrigated at 66% of field capacity and supplemented with 74.0 mg N and 36.0 mg P kg‒1 soil. This could considerably help the success of revegetation in coal-mined degraded arid areas where W is scarce. This article contains data complementary to the main research entitled "Fine-tuning of soil water and nutrient fertilizer levels for the ecological restoration of coal-mined spoils using Elaeagnus angustifolia" in the Journal of Environmental Management (Roy et al., 2020)
Funding issues in a major strategic project: A case of investment appraisal
This paper describes and allows interaction with the issues involved in a major investment decision. In the summer of 1997, UKH faced major decisions concerning the purchase and funding of new plant and equipment. The authors were given excellent access to the company and were able to document key steps in the decision process.
The issues are set out in a case study format that allows the reader to retrace the analyses carried out within UKH. A number of tasks are suggested that should test, develop and enhance a range of analytical, social and negotiation skills.
The case can be handled in a variety of ways and most of the suggested tasks can be undertaken or omitted depending on the pedagogical objectives of the course/ instructor
Wearable activity technology and action-planning (WATAAP) to promote physical activity in cancer survivors: Randomised controlled trial protocol
Background/Objective: Colorectal and gynecologic cancer survivors are at cardiovascular risk due to comorbidities and sedentary behaviour, warranting a feasible intervention to increase physical activity. The Health Action Process Approach (HAPA) is a promising theoretical frame-work for health behaviour change, and wearable physical activity trackers offer a novel means of self-monitoring physical activity for cancer survivors.
Method: Sixty-eight survivors of colorectal and gynecologic cancer will be randomised into 12- week intervention and control groups. Intervention group participants will receive: a Fitbit AltaTM to monitor physical activity, HAPA-based group sessions, booklet, and support phone-call. Participants in the control group will only receive the HAPA-based booklet. Physical activity (using accelerometers), blood pressure, BMI, and HAPA constructs will be assessed at baseline, 12-weeks (post-intervention) and 24-weeks (follow-up). Data analysis will use the Group x Time interaction from a General Linear Mixed Model analysis.
Conclusions: Physical activity interventions that are acceptable and have robust theoretical underpinnings show promise for improving the health of cancer survivors
Nonlinear Stress Fluctuation Dynamics of Sheared Disordered Wet Foam
Sheared wet foam, which stores elastic energy in bubble deformations, relaxes
stress through bubble rearrangements. The intermittency of bubble
rearrangements in foam leads to effectively stochastic drops in stress that are
followed by periods of elastic increase. We investigate global characteristics
of highly disordered foams over three decades of strain rate and almost two
decades of system size. We characterize the behavior using a range of measures:
average stress, distribution of stress drops, rate of stress drops, and a
normalized fluctuation intensity. There is essentially no dependence on system
size. As a function of strain rate, there is a change in behavior around shear
rates of .Comment: accepted to Physical Review
Seasonal influences on first-episode admission in affective and non-affective psychosis
Background: Since bipolar affective disorder has been recorded, clinicians treating patients with this disorder have noted the cyclic nature of episodes, particularly an increase in mania in the spring and summer months and depression during winter. Objective: The aim of this study was to investigate seasonality in symptom onset and service admissions over a period of 10 years in a group of patients (n= 359) with first-episode (FE) mania (n= 133), FE schizoaffective disorder (n= 49) and FE schizophrenia (n= 177). Method: Patients were recruited if they were between 15 and 28 years of age and if they resided in the geographical mental health service catchment area. The number of patients experiencing symptom onset and service admission over each month and season was recorded. Results: In terms of seasonality of time of service admission, the results indicate a high overall seasonality (particularly in men), which was observed in both the schizoaffective and the bipolar groups. In terms of seasonality of symptom onset, the results indicate that seasonality remains in the male bipolar group, but other groups have no seasonal trend. Conclusions: This provides further evidence that systems mediating the entrainment of biological rhythms to the environment may be more pronounced in BPAD than in schizoaffective disorder and schizophrenia. These results may help facilitate the preparedness of mental heath services for patients at different times of the yea
Evaluation on physico-chemical properties of pink guava puree residue as bioresource
Pink Guava Puree (PGP) factory produces tons of residues from its unit operation [refiner (R), siever (S), and decanter (D)]. These residues represent a waste of nutrients and can contribute to environmental problem. However, it can benefit related industries if the properties of the residues are known. Thus, this research aims to determine the compositions of the residues from PGP processing factory in order to evaluate possible value-added by-product and energy sources. The residues from each unit operation were being tested for proximate composition, dietary fibre components, pH value, emulsifying activity (EA) and emulsifying stability (ES), carbon-to-nitrogen (C/N) ratio, and sugar analysis. The sugar content was analysed using High Performance Liquid Chromatography (HPLC-RI detector). Results showed that the residues have good composition of carbohydrate (11.82–12.18%), and thus potential as carbon source and can be a good substrate for fermentation. These residues may also benefit the food industry as a good source of dietary fibre (18.63–29.86%). The pH value for these PGP residues is 4; thus they were considered as acidic food by-product. The low pH value also contributed to the low EA and ES value other than the low content of protein in the sample. C/N ratio for PGP residue from R (46:1) is the lowest compared to the C/N ratio from S (84:1) and D (115:1). The amount of sugars detected in the PGP residues in descending order were fructose > glucose > sucrose
Inertial range scaling of scalar flux spectra in uniformly sheared turbulence
A model based on two-point closure theory of turbulence is proposed and
applied to study the Reynolds number dependency of the scalar flux spectra in
homogeneous shear flow with a cross-stream uniform scalar gradient. For the
cross-stream scalar flux, in the inertial range the spectral behavior agrees
with classical predictions and measurements. The streamwise scalar flux is
found to be in good agreement with the results of atmospheric measurements.
However, both the model results and the atmospheric measurements disagree with
classical predictions. A detailed analysis of the different terms in the
evolution equation for the streamwise scalar flux spectrum shows that nonlinear
contributions are governing the inertial subrange of this spectrum and that
these contributions are relatively more important than for the cross-stream
flux. A new expression for the scalar flux spectra is proposed. It allows us to
unify the description of the components in one single expression, leading to a
classical K^-7/3 inertial range for the cross-stream component and to a new
K^-23/9 scaling for the streamwise component that agrees better with
atmospheric measurements than the K^-3 prediction of J. C. Wyngaard and O. R.
Cot\'e [Quart. J. R. Met. Soc. 98, 590 (1972)]
CodeGrid: A Grid Representation of Code
peer reviewedCode representation is a key step in the application of AI in software engineering. Generic NLP representations are effective but do not exploit all the rich structure inherent to code. Recent work has focused on extracting abstract syntax trees (AST) and integrating their structural information into code representations.These AST-enhanced representations advanced the state of the art and accelerated new applications of AI to software engineering. ASTs, however, neglect important aspects of code structure, notably control and data flow, leaving some potentially relevant code signal unexploited. For example, purely image-based representations perform nearly as well as AST-based representations, despite the fact that they must learn to even recognize tokens, let alone their semantics. This result, from prior work, is strong evidence that these new code representations can still be improved; it also raises the question of just what signal image-based approaches are exploiting. We answer this question. We show that code is spatial and exploit this fact to propose , a new representation that embeds tokens into a grid that preserves code layout. Unlike some of the existing state of the art, is agnostic to the downstream task: whether that task is generation or classification, can complement the learning algorithm with spatial signal. For example, we show that CNNs, which are inherently spatially-aware models, can exploit outputs to effectively tackle fundamental software engineering tasks, such as code classification, code clone detection and vulnerability detection. PixelCNN leverages 's grid representations to achieve code completion. Through extensive experiments, we validate our spatial code hypothesis, quantifying model performance as we vary the degree to which the representation preserves the grid. To demonstrate its generality, we show that augments models, improving their performance on a range of tasks, On clone detection, improves ASTNN's performance by 3.3% F1 score
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