959 research outputs found
Evolution of Kenya's Maize Marketing Systems in the Post-liberalization Era
The objectives of this paper are to: (1) identify the pattern of private sector investment in the maize marketing system since the reforms were initiated and evaluate the extent of private sector response to the reforms; (2) assess how maize prices and marketing margins have changed in response to the market reforms; (3) identify market-oriented mechanisms that have evolved in the current environment to reduce vulnerability of farmers, traders and consumers to price and expenditure instability; and (4) identify strategies that the government and private sector could implement to effectively promote the development of the evolving market oriented food systems.Food Security, Food Policy, Kenya, Maize, Crop Production/Industries, Marketing,
A case study in quantifying the economic benefit of a live strain monitoring campaign for a short-span pre-stressed concrete bridge
Peer reviewedPublisher PD
Predicting university performance in psychology: the role of previous performance and discipline-specific knowledge
Recent initiatives to enhance retention and widen participation ensure it is crucial to understand the factors that predict students' performance during their undergraduate degree. The present research used Structural Equation Modeling (SEM) to test three separate models that examined the extent to which British Psychology students' A-level entry qualifications predicted: (1) their performance in years 1-3 of their Psychology degree, and (2) their overall degree performance. Students' overall A-level entry qualifications positively predicted performance during their first year and overall degree performance, but negatively predicted their performance during their third year. Additionally, and more specifically, students' A-level entry qualifications in Psychology positively predicted performance in the first year only. Such findings have implications for admissions tutors, as well as for students who have not studied Psychology before but who are considering applying to do so at university
Glacial Aerodynamic Roughness Estimates:Uncertainty, Sensitivity, and Precision in Field Measurements
Calculation of the sensible and latent heat (turbulent) fluxes is required in order to close the surface energy budget of glaciers and model glacial melt. The aerodynamic roughness length, z0, is a key parameter in the bulk approach to calculating sensible heat flux; yet, z0 is commonly considered simply as a tuning parameter or generalized between surfaces and over time. Spatially and temporally distributed observations of z0 over ice are rare. Both direct (from wind towers and sonic anemometers) and indirect (from microtopographic surveys) measurements of z0 are subject to sensitivities and uncertainties that are often unstated or overlooked. In this study, we present a quantitative evaluation of aerodynamic profile-based and microtopographic methods and their effect on z0 using data collected from StorglaciÀren and Sydöstra KaskasatjÀkkaglaciÀren, Tarfala Valley, Arctic Sweden. Aggressive data filters discard most of the wind tower data but still produce realistic z0 values of 1.9 mm and 2 mm. Despite uncertainty introduced by scale and resolution dependence, microtopographic methods produced estimates of z0 comparable to wind tower values and those found on similar surfaces. We conclude that (1) in the absence of direct turbulent flux measurements from sonic anemometers, the profile and microtopographic methods provide realistic z0 values, (2) both 2D and 3D microtopographic methods are dependent on scale, resolution, and the chosen detrending method, and (3) careful calibration of these parameters could enable glacier-wide investigations of z0 from remotely sensed data, including those increasingly available from satellite platforms
Reprogramming of various cell types to a beta-like state by Pdx1, Ngn3 and MafA
The three transcription factors, PDX1, NGN3 and MAFA, are very important in pancreatic development. Overexpression of these three factors can reprogram both pancreatic exocrine cells and SOX9-positive cells of the liver into cells resembling pancreatic beta cells. In this study we investigate whether other cell types can be reprogrammed. Eight cell types are compared and the results are consistent with the idea that reprogramming occurs to a greater degree for developmentally related cells (pancreas, liver) than for other types, such as fibroblasts. Using a line of mouse hepatocyte-derived cells we screened 13 compounds for the ability to increase the yield of reprogrammed cells. Three are active and when used in combination they can increase the yield of insulin-immunopositive cells by a factor of six. These results should contribute to the eventual ability to develop a new cure for diabetes based on the ability to reprogram other cells in the body to a beta cell phenotype
Effects of High-Molecular-Weight Dissolved Organic Matter on Nitrogen Dynamics in the Mississippi River Plume
The dynamics of N and its interactions with labile dissolved organic C (DOC), bacteria, and phytoplankton were studied to determine potential effects of dissolved organic matter (DOM) and light on N dynamics in surface waters of the Mississippi River (USA) plume in the Gulf of Mexico. Bacterial uptake of added labeled N compounds ( 15NH4+ or 15N-labeled dissolved free amino acids. DFAA) was stimulated more by high-molecular-weight (HMW, \u3el kDa) DOM than by low-molecular-weight (LMW, \u3c l kDa) DOM. An index that inversely indicated the presence of labile DOC was defined as the fraction of assimilated Amino acid-15N that was Recovered as 15N -Ammonium (ANRA), following the additions of high-levels (4 ”M) of 15N -DFAA. ANRA ratios were high in the absence of other available carbon sources because heterotrophic bacteria were forced to use the added amino acids as a carbon source for respiration rather than as a nutrient source for biomass formation. In dynamic light/dark experiments, conducted with in situ populations of organisms, uptake rates of added 15NH4+ were significantly enhanced both by the presence of light and by the addition of HMW DOM. Uptake rates of added 15N -labeled DFAA were increased by the addition of HMW DOM but not by light. ANRA ratios were consistently lower in the presence of added HMW DOM than in controls. Added HMW DOM thus appeared to stimulate the incorporation of assimilated DFAA into bacterial biomass. Bacterial growth rates were relatively high in both light and dark bottles with DFAA additions and in light bottles with HMW DOM plus NH4+ additions, but they remained comparatively low in dark bottles with added NH4+ These results are consistent with the idea that bacterial N dynamics in these euphotic waters may be tightly coupled to photosynthetic activities over short time scales
The Collapse of Large Extra Dimensions
In models of spacetime that are the product of a four-dimensional spacetime
with an ``extra'' dimension, there is the possibility that the extra dimension
will collapse to zero size, forming a singularity. We ask whether this collapse
is likely to destroy the spacetime. We argue, by an appeal to the
four-dimensional cosmic censorship conjecture, that--at least in the case when
the extra dimension is homogeneous--such a collapse will lead to a singularity
hidden within a black string. We also construct explicit initial data for a
spacetime in which such a collapse is guaranteed to occur and show how the
formation of a naked singularity is likely avoided.Comment: Uses revtex
Feasibility of vibration energy harvesting powered wireless tracking of falcons in flight
The use of wireless tagging of birds has been widely used for monitoring or tracking purposes. This include over 10 thousand wireless tracking devices currently used by the UK falconers alone. However, due to the concern of not burdening the birds with a heavy battery, the existing lightweight telemetry tracking systems can only last for days, if not hours. Falcons can have top flight speeds in excess of a hundred miles an hour, which makes it a near impossible task to track a missing falcon after the battery has been depleted. This paper investigates the feasibility of incorporating a piezoelectric vibration energy harvesting system to act as a secondary power source for the wireless tracking of falcons. The ultimate aim is to both extend the primary battery life and enable periodic burst transmissions of telemetry after the depletion of the primary battery. The presented tracking and harvesting system is lightweight and has been field trialled on a gyrfalcon at the Chester Cathedral Falconry
The fast radio burst dispersion measure distribution
We compare the dispersion measure (DM) statistics of FRBs detected by the ASKAP and Parkes radio telescopes. We jointly model their DM distributions, exploiting the fact that the telescopes have different survey fluence limits but likely sample the same underlying population. After accounting for the effects of instrumental temporal and spectral resolution of each sample, we find that a fit between the modelled and observed DM distribution, using identical population parameters, provides a good fit to both distributions. Assuming a one-to-one mapping between DM and redshift for an homogeneous intergalactic medium (IGM), we determine the best-fitting parameters of the population spectral index, , and the power-law index of the burst energy distribution, , for different redshift evolutionary models. Whilst the overall best-fitting model yields and , for a strong redshift evolutionary model, when we admit the further constraint of α = 1.5 we favour the best fit and the case of no redshift evolution. Moreover, we find no evidence that the FRB population evolves faster than linearly with respect to the star formation rate over the DM (redshift) range for the sampled population
Participatory Evaluation of Resilient Potato Varieties in Climate-Smart Villages of Lushoto in Tanzania
This three-year study conducted by the International Potato Centre (CIP) in collaboration with
Selian Agricultural Research Institute (SARI) was based on demand by Lushoto farmers
through the CGIAR Research Program on Climate Change, Agriculture and Food Security
(CCAFS). This participatory action research (PAR) was aimed at developing more resilient
potato varieties that can grow in both long and short rainy seasons and give higher yields. The
approach involved training-of-trainers (ToT) and participatory varietal selection (PVS)
experiments. The ToT comprised five training events using modules. Three training events
were done in the long rainy season and two in the subsequent short rainy season. The topics
covered in the first round of training were on integrated crop management, from land
preparation to seed storage. The second round of training was participant-driven whereby topics
emerged from the first training. A total of twenty-one participants representing farmers,
extension services and local non-governmental organizations were trained. The training was
supported by field experiments using the CIP Mother and Baby Trials model. The trials were
carried out in five villages: Kwesine, Boheloi, Maringo, Kwekitui and Milungui. Experimental
materials comprised six advanced and heat tolerant clones from CIP (CIP390478.9,
CIP388767.1, CIP392797.22, CIP300055.32, CIP398208.29 and CIP397073.7), two local
varieties (Kidinya and Obama), an improved variety recently registered in Tanzania (Asante)
and a popular farmerâs variety but registered in Kenya (Shangii). A cross-analysis of field and
culinary data combining quantitative and qualitative assessments from the three seasons of field
evaluations showed a certain consistency in the high yielding ability and acceptability of four
genotypes, namely Asante, Shangii, CIP392797.22 and CIP398208.29. The two clones were
then named by farmers and proposed for official release while Shangii was proposed for
registration for commercial use
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