62,917 research outputs found
Community water management and agricultural extension services: effects, impacts and perceptions in the coastal zone of Bangladesh
The coastal region of Bangladesh is prone to natural disasters and these events are expected to worsen as a result of climate change. Combined with anthropogenic factors, these events challenge livelihood opportunities, especially crop production. Waterlogging, tidal activity and the lack of proper drainage facilities are major constraints to agricultural production in these areas.
The CGIAR Research Program on Water, Land and Ecosystems (WLE) tested, at pilot scale, the combination of innovative agricultural technologies with improved water management to overcome these challenges.
This report assesses this intervention by observing the effects, measuring the short-term impacts and understanding the perceptions. The results highlight the need to integrate the interventions into the local context, and acknowledge that institutions and markets need to mature to harness the benefits from innovations. It also underlines the potential of multi-scale interventions combining plot-level and farmer-led innovations, community management and rehabilitation of large schemes
An overview of the effect of probiotics and exercise on mood and associated health conditions
The present paper provides a review of the current knowledge relating to the health benefits of probiotics, specially focused on the effects they may have together with physical exercise on mood disorders and related chronic medical conditions. With both these conditions being a substantial contributor to the global disease burden any alternative therapy must be considered. Probiotics influence the gut microbiota through a complex network of events which can influence mechanisms leading to development of mood disorders such as depression and anxiety. Similarly, through a complex interaction between psychological and neurobiological mechanisms, exercise has been found to play a key role in mood enhancement
Justice Expectations and Applicant Perceptions
Expectations, which are beliefs about a future state of affairs, constitute a basic psychological mechanism that underlies virtually all human behavior. Although expectations serve as a central component in many theories of organizational behavior, they have received limited attention in the organizational justice literature. The goal of this paper is to introduce the concept of justice expectations and explore its implications for understanding applicant perceptions. To conceptualize justice expectations, we draw on research on expectations conducted in multiple disciplines. We discuss the three sources of expectations – direct experience, indirect influences, and other beliefs - and use this typology to identify the likely antecedents of justice expectations in selection contexts. We also discuss the impact of expectations on attitudes, cognitions, and behaviors, focusing specifically on outcomes tied to selection environments. Finally, we explore the theoretical implications of incorporating expectations into research on applicant perceptions and discuss the practical significance of justice expectations in selection contexts
A specific brain structural basis for individual differences in reality monitoring.
Much recent interest has centered on understanding the relationship between brain structure variability and individual differences in cognition, but there has been little progress in identifying specific neuroanatomical bases of such individual differences. One cognitive ability that exhibits considerable variability in the healthy population is reality monitoring; the cognitive processes used to introspectively judge whether a memory came from an internal or external source (e.g., whether an event was imagined or actually occurred). Neuroimaging research has implicated the medial anterior prefrontal cortex (PFC) in reality monitoring, and here we sought to determine whether morphological variability in a specific anteromedial PFC brain structure, the paracingulate sulcus (PCS), might underlie performance. Fifty-three healthy volunteers were selected on the basis of MRI scans and classified into four groups according to presence or absence of the PCS in their left or right hemisphere. The group with absence of the PCS in both hemispheres showed significantly reduced reality monitoring performance and ability to introspect metacognitively about their performance when compared with other participants. Consistent with the prediction that sulcal absence might mean greater volume in the surrounding frontal gyri, voxel-based morphometry revealed a significant negative correlation between anterior PFC gray matter and reality monitoring performance. The findings provide evidence that individual differences in introspective abilities like reality monitoring may be associated with specific structural variability in the PFC
Online Bin Covering: Expectations vs. Guarantees
Bin covering is a dual version of classic bin packing. Thus, the goal is to
cover as many bins as possible, where covering a bin means packing items of
total size at least one in the bin.
For online bin covering, competitive analysis fails to distinguish between
most algorithms of interest; all "reasonable" algorithms have a competitive
ratio of 1/2. Thus, in order to get a better understanding of the combinatorial
difficulties in solving this problem, we turn to other performance measures,
namely relative worst order, random order, and max/max analysis, as well as
analyzing input with restricted or uniformly distributed item sizes. In this
way, our study also supplements the ongoing systematic studies of the relative
strengths of various performance measures.
Two classic algorithms for online bin packing that have natural dual versions
are Harmonic and Next-Fit. Even though the algorithms are quite different in
nature, the dual versions are not separated by competitive analysis. We make
the case that when guarantees are needed, even under restricted input
sequences, dual Harmonic is preferable. In addition, we establish quite robust
theoretical results showing that if items come from a uniform distribution or
even if just the ordering of items is uniformly random, then dual Next-Fit is
the right choice.Comment: IMADA-preprint-c
The effect of atorvastatin on pancreatic beta cell requirement in women with polycystic ovary syndrome
Background There is an increased risk of developing T2DM in women with polycystic ovary syndrome (PCOS) and there is evidence that statins improve metabolic parameters in these patients. However, there is some data to show that statins increase the risk of incipient diabetes. Material and Methods We have previously shown that 12-weeks of atorvastatin improves insulin resistance when measured using HOMA-IR. This post hoc-analysis was designed to look at the effect of atorvastatin on pancreatic β cell function using HOMA-β in the same study. In this randomised, double blind placebo controlled study, 40 medication naïve patients with PCOS were randomized to either atorvastatin 20 mg daily or placebo for 3 months. A 3-month extension study for both groups of patients was undertaken with metformin 1500 mg daily after completing initial 3 months of atorvastatin or placebo. Results There was a significant reduction in HOMA-β (240±3.2vs.177±2.3; pvalue<0.01) after 12 weeks of atorvastatin treatment which was maintained by metformin in the subsequent 12 weeks. There were no changes in HOMA-β after the placebo or after subsequent metformin treatment. There was no linear correlation between reduction in HOMA-β with improvement of free androgen index (FAI) (r2=0.02;p=0.72), testosterone (r2=0.13;p=0.49), SHBG (r2=0.22;p=0.48), hsCRP (r2=0.19;p=0.64), triglycerides (r2=0.09;p=0.12), total cholesterol (r2=0.11;p=0.32) or LDL-C (r2=0.19;p=0.38). Conclusion Treatment with atorvastatin for 12 weeks in women with PCOS significantly reduced HOMA-β. This could be potentially due to fall in βcell requirement with improvement of insulin resistance rather than a reduction of βcell function
On analytic properties of Meixner-Sobolev orthogonal polynomials of higher order difference operators
In this contribution we consider sequences of monic polynomials orthogonal
with respect to Sobolev-type inner product where is the Meixner linear operator,
, , , and
is the forward difference operator , or the backward difference
operator .
We derive an explicit representation for these polynomials. The ladder
operators associated with these polynomials are obtained, and the linear
difference equation of second order is also given. In addition, for these
polynomials we derive a -term recurrence relation. Finally, we find the
Mehler-Heine type formula for the case
Coordination Matters : Interpersonal Synchrony Influences Collaborative Problem-Solving
The authors thank Martha von Werthern and Caitlin Taylor for their assistance with data collection, Cathy Macpherson for her assistance with the preparation of the manuscript, and Mike Richardson, Alex Paxton, and Rick Dale for providing MATLAB code to assist with data analysis. The research was funded by the British Academy (SG131613).Peer reviewedPublisher PD
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