Financial resilience of Kenyan smallholders affected by climate change, and the potential for blockchain technology

This study is part of the project ‘Incentives and innovative finance for scaling Climate Smart Agriculture (CSA) up and out’ which as part of the flagship ‘Climate-Smart Technologies and Practices’. Through case study research, the project aims to develop context-specific knowledge on the factors and conditions which constitute an effective technical and financial package to scale up and scale out CSA practices and businesses. The impact of these packages on the adoption of CSA and the resilience of farmers and Small to Medium Enterprises to climate change will be assessed by means of three case studies. The first case aimed at upscaling CSA with small scale food producers who were organised in village savings and loans in Tanzania. The second case study focused on climate smart villages using climate-smart financial diaries for scaling in Kenya. This third study focuses on the financial resilience of smallholder farmers in Kenya who are affected by climate change. We will use blockchain technology as a lens to discuss the potential impact provided through this innovative technology. In the next year we envisage to run a small pilot with blockchain technology in Kenya. Kenya is particularly interesting considering blockchain, as mobile payment systems are well and widely adopted. This enhances possibilities for linking blockchain technology

Demand and experiences with financial products and services in climate smart villages

This study ‘Demand for and experiences with financial products and services’ describes and discusses the results of a survey to provide a first insight into the financial services that the smallholder farmers from climate smart villages use and to explore how these are related to climate smart agricultural technologies & practices. The study is one of three preliminary studies of a multi-year international research project (2016-2022) on ‘Business models, incentives and innovative finance for scaling climate smart agriculture (CSA)’. The knowledge and insights developed are used to further support ongoing and emerging climate smart projects in which CCAFS is involved. A survey was conducted to identify smallholder farmers and the small to medium enterprises (in different stages of the value chain) and their demand for and experiences with financial products and services. There were 148 respondents from 24 villages from Latin America, West Africa, East Africa, Southeast Asia and South Asia. The targeted number of female respondents (50%) was nog met in all regions, for example in India where the role of female farmers in irrigated agriculture would be limited. A limitation to the results is that in different regions a different number of villages was involved, making it more difficult to generalise results. Sometimes it would prove challenging to make conclusions about the reasoning behind the answers. The study is about adoption climate smart agriculture, but does not define the extent of adoption. .

Measurement of cerebral perfusion volume and 99mTc-HMPAO uptake using SPECT in controls and patients with Alzheimer's disease

Methods for quantifying the changes in brain function observed in single photon emission computed tomography (SPECT) using hexamethylenepropylene amine oxime (HMPAO) for patients with Alzheimer's disease have the potential of improving the diagnostic accuracy of the procedure and its ability to monitor response to treatment. The absolute percentage uptake of HMPAO and the cerebral perfusion volume (CPV) of the brain were assessed using SPECT in 26 patients with mild to moderate Alzheimer's disease (AD) and 24 control subjects. A subset of 15 control subjects, which was age-matched to the AD patients, was selected to allow fair statistical comparison of parameters between groups. The percentage of brain volume with reduced perfusion (R) and a volume loss index (VLI), given by R1/2/CPV, were also calculated. Eight of the control subjects were studied on a second occasion after a mean period of 6 months. There was no significant difference in percentage uptake between controls and AD patients, the mean value being 5.8%. Cerebral perfusion volume in controls was found to depend on sex (mean value in males and females being 1327 ml and 1222 ml, respectively) and on age. The volume loss index corrected for age and sex provided good discrimination between controls and AD subjects giving a sensitivity and specificity of 81% and 96%, respectively. The repeatability coefficient, the 95% confidence limit for the difference between repeat measurements, on controls was 67 ml (5%). The measurement of cerebral perfusion volume and related indices may be of value in identifying patients with early Alzheimer's disease and in following their response to treatment

Analytical technique to recover the third dimension in planar imaging of inhaled aerosols: (1) impact on spatial quantification

An analytical algorithm is described for converting planar scintigraphic images of aerosol distributions in the lungs to an equivalent three-dimensional (3D) representation. The recovery of volumetric information should benefit regional quantification. The technique has been validated using simulated planar images of eleven known aerosol distributions in ten realistic lungs. Global and regional 3D parameters, such as the total activity deposition (A), the penetration index (PI) and the relative penetration index (rPI), were quantified on the planar images and on their 3D representation. Random and systematic errors of the estimation were measured. Finally, the performance of planar imaging was compared with that of single-photon emission computed tomography (SPECT). SPECT images were simulated for the same aerosol distributions in the same subjects and quantified for A, PI, and rPI. The systematic errors in A, PI and rPI obtained from planar imaging were 8.9%, 64.8%, and 54.1%, respectively, using the two-dimensional (2D) analysis; they improved significantly to 4.4%, 19.0%, and 25.5% with the 3D analysis (p < 0.01). The corresponding values for SPECT were 5.2%, 9.8%, and 15.7%, significantly better for PI and rPI (p < 0.01). The random errors of A were similar for all techniques being about 5%; those of PI and rPI measurements were significantly higher for planar imaging (?14%) than SPECT (?8%). In conclusion, 3D spatial parameters can be derived from planar imaging that are significantly more accurate in characterizing different aerosol depositions than their 2D counterpart. However, the errors remain significantly higher than with SPECT

Comparison of SPECT aerosol deposition data with twenty-four-hour clearance measurements

Three-dimensional (3D) radionuclide imaging provides detailed information on the distribution of inhaled aerosol material within the body. Analysis of the data can provide estimates of the deposition per airway generation. Information on regional distribution of deposited aerosol can also be obtained from 24-hour clearance measurements. In this study, a nebulizer was used to deliver a radiolabeled aerosol to nine human subjects. Single photon emission computed tomography (SPECT) has been used to assess the distribution of aerosol deposition per airway generation. The deposition pattern was also estimated using measurements of the aerosol remaining in the lung 24 h after inhalation. The error in the SPECT value was assessed by simulation and that in the 24-h clearance value by repeat analysis. The mean fraction of lung deposition in the conducting airway (CADF) from SPECT was 0.21. The corresponding 24-h clearance value was 0.23. These values were not significantly different. There was a weak but non-significant correlation between the SPECT and 24-h measurements (r = 0.49). The standard error of the difference was 0.11. The corresponding errors on the SPECT and 24-h clearance measurements were 0.04 and 0.05, respectively. There was no systematic difference between the values of conducting airways deposition obtained from 24-h measurements and SPECT. However, there were random differences on individual subjects, which were larger than the estimated measurement errors

Limitations of the HMPAO SPECT appearances of occipital lobe perfusion in the differential diagnosis of dementia with Lewy bodies

Objective To assess the utility of the appearances of occipital lobe perfusion on HMPAO SPECT in the diagnosis of dementia with Lewy bodies (DLB) using the I-123-FP-CIT findings as the diagnostic 'gold standard'. Methods Eighty-four consecutive patients underwent both HMPAO SPECT and I-123-FP-CIT as part of their routine investigations for suspected DLB. Results Thirty-nine of the 84 FP-CIT scans were abnormal indicating a prevalence of 44% of patients with DLB in this series. In those patients classified as DLB, 28% of HMPAO SPECT scans demonstrated occipital hypoperfusion. In those patients with a dementia other than DLB 31% of patients demonstrated occipital hypoperfusion (P=0.8). Conclusion Occipital lobe hypoperfusion as demonstrated by HMPAO SPECT in patients with suspected Lewy body dementia does not appear to be able to either rule in, or rule out, the diagnosis of DL

Business models of SMEs as a mechanism for scaling Climate Smart Technologies: The case of Punjab, India

Many Climate Smart Agricultural (CSA) technologies fail to achieve their full potential impact due to low levels of adoption by smallholder farmers and difficulties in scaling CSA. This paper presents how small and medium-sized enterprises (SMEs) can act as change agents for the uptake of CSA technologies where their business models may be seen as adoption and scaling mechanisms. Drawing upon our fieldwork in Punjab (India) during which over 100 respondents have been interviewed, critical issues and enabling factors for the business model of two types of SMEs, i.e. farmer cooperatives and individual service providers of climate smart technologies have been identified. Enabling factors supporting adoption are driven by scientific and practical evidence of CSA technologies, good partnership between SMEs and research institutes, good customer relationships and effective channels through farmers’ field trials. Critical issues consist of distortive government subsidies on energy and the lack of market intelligence affecting the profitability of the business model. Scaling is enhanced through market intelligence and a favouring regulatory landscape. However, difficult socio-economic circumstances and distortive government subsidies limit the role of SMEs business model as mechanism for scalin

Alzheimer's disease: differences in technetium-99m HMPAO SPECT scan findings between early onset and late onset dementia

Objective: to compare the HMPAO SPECT cerebral perfusion patterns in early and late onset Alzheimer’s disease.Methods: twenty patients with early onset disease (<65 years) and 44 patients with late onset disease (>65 years) were studied. All patients fulfilled NINCDS-ADRDA clinical criteria and had details of disease severity and length of history at the time of imaging. Technetium-99m HMPAO SPECT brain scans were acquired on a multi-detector gammacamera and analysed visually and with statistical parametric mapping (SPM99).Results: patients with early onset disease had significantly greater posterior cortical association area involvement whereas those with late onset disease had significantly greater medial temporal hypoperfusion. These findings were unchanged after controlling for disease severity and length of illness.Discussion: these functional imaging findings of the differences between early and late onset Alzheimer’s disease are supported by published findings that include histopathological and clinical evidence; namely late onset patients tend to present with the characteristic involvement of the medial temporal lobes producing marked memory loss whereas early onset patients present with predominant posterior cortical association area involvement. These age related findings should be borne in mind when clinically diagnosing, and interpreting functional brain imaging studies in, patients with suspected Alzheimer’s disease

Topography and behavioral relevance of the global signal in the human brain

10.1038/s41598-019-50750-8Scientific Reports911428