Supereigenvalue Models and Topological Recursion

We show that the Eynard-Orantin topological recursion, in conjunction with simple auxiliary equations, can be used to calculate all correlation functions of supereigenvalue models.Comment: 46 pages. v2: published version (minor changes to the presentation

Super Topological Recursion and Gaiotto Vectors For Superconformal Blocks

We investigate a relation between the super topological recursion and Gaiotto vectors for $\mathcal{N}=1$ superconformal blocks. Concretely, we introduce the notion of the untwisted and $\mu$-twisted super topological recursion, and construct a dual algebraic description in terms of super Airy structures. We then show that the partition function of an appropriate super Airy structure coincides with the Gaiotto vector for $\mathcal{N}=1$ superconformal blocks in the Neveu-Schwarz or Ramond sector. Equivalently, the Gaiotto vector can be computed by the untwisted or $\mu$-twisted super topological recursion. This implies that the framework of the super topological recursion -- equivalently super Airy structures -- can be applied to compute the Nekrasov partition function of $\mathcal{N}=2$ pure $U(2)$ supersymmetric gauge theory on $\mathbb{C}^2/\mathbb{Z}_2$ via a conjectural extension of the Alday-Gaiotto-Tachikawa correspondence.Comment: 37 pages, references added, typos correcte

Adoption of Computerised Health Information System Focusing on Kenya’s Health Facilities

Although the benefits of information technology are clear adapting new information systems to health care has proven difficult globally and rates of use have been limited. With the challenge of inadequate health workers and low quality of service delivery, Information Communication Technology is essential to ensure availability of Information to multiple users and multiple settings. It is also important for Integration of variable types of data media, data legibility, reduced medical errors, complete and quality data. It also enable structured data entry, accurate calculation of processes, provision of tools for decision support and data based analysis. Although Kenya as a developing country has invested in Information Communication Technology with the aim of improving patient care, all indications have shown slow adoption of technology in healthcare industry. Therefore it is important to focus on means of hastening adoption of HIS in order to enhance service delivery in the health sector and hence effective service delivery for Kenyan people. Keywords: Adoption, Health Information Systems, ICT Infrastructure

Supportive supervision for medicines management in government health facilities in Kiambu County, Kenya: A health workers’ perspective

Introduction: effective supportive supervision is widely recognized as essential for optimal management of medicines in government healthfacilities and also in contributing towards improved access and utilization of health services. This study sought to examine the extent supportivesupervision for medicines management in government health facilities from a health worker perspective. Methods: a cross-sectional study was done targeting health workers managing medicines in government health facilities in Kiambu County. One hundred and thirty eight respondents took part in the study which explored the quality of supportive supervision from a health worker's perspective, and also examined the factors influencing their contentment with the level of supervision received. A statistical analysis was done using SPSS 21 and Excel 2013. Results: supervisory visits from all levels of health management were not regularly done, standard checklists were not routinely used, and action plans irregularly developed and followed up. Only 54 (38.6%) respondents were satisfied with the levels of supportive supervision that they received,with satisfaction significantly differing across the professional cadres, <2 (12, n = 138) = 29.762, p = .003; across the different tiers of healthfacilities, rs (138) = 0.341, p < .001; and with the education levels of the respondents, rs (138) = 0.381, p < .001. Conclusion: the study concluded that supportive supervision for medicines management that government health facilities received was still  inadequate, and health workers were dissatisfied with the level of  supervision that they received. The study recommends a review of the support supervision policy at the county level to address the unearthed inefficiencies and improve supervision for medicines management in  government health facilities

Can Reinforcement Learning Be Applied to Surgery?

Background: Remarkable progress has recently been made in the field of artificial intelligence (AI).Objective: We sought to investigate whether reinforcement learning could be used in surgery in the future.Methods: We created simple 2D tasks (Tasks 1–3) that mimicked surgery. We used a neural network library, Keras, for reinforcement learning. In Task 1, a Mac OS X with an 8 GB memory (MacBook Pro, Apple, USA) was used. In Tasks 2 and 3, a Ubuntu 14. 04LTS with a 26 GB memory (Google Compute Engine, Google, USA) was used.Results: In the task with a relatively small task area (Task 1), the simulated knife finally passed through all the target areas, and thus, the expected task was learned by AI. In contrast, in the task with a large task area (Task 2), a drastically increased amount of time was required, suggesting that learning was not achieved. Some improvement was observed when the CPU memory was expanded and inhibitory task areas were added (Task 3).Conclusions: We propose the combination of reinforcement learning and surgery. Application of reinforcement learning to surgery may become possible by setting rules, such as appropriate rewards and playable (operable) areas, in simulated tasks