Alpha Lipoic Acid: A Review and Comparison to Current Treatment Guidelines of Diabetic Peripheral Neuropathy

In 2021, approximately 5.3% of the U.S. population experienced diabetic peripheral neuropathy (DPN). DPN results from uncontrolled glycemic control, causing peripheral nerve dysfunction, including pain, paresthesia, weakness, and infection due to metabolic stress, microvascular damage, and axonal degeneration. While medical organizations recommend symptomatic management with anticonvulsants, TCAs, SNRIs, and gabapentinoids, studies show only 1 in 3 patients are satisfied with treatment outcomes. Alpha Lipoic Acid (ALA) is an endogenously synthesized molecule with a role in cellular redox modulation, glycemic control, insulin sensitivity, advanced glycation end-product formation, and inflammatory markers. Though ALA has not been highly investigated in the management of DPN, current medical organizations acknowledge its potential medical benefits in the future. This paper summarizes the results of completed clinical trials that evaluated the efficacy of ALA as a monotherapy. Numerous trials found statistically significant improvement in the quality of pain, daily living, and quantitative objective testing that would support its use in managing DPN. Additionally, ALAs minimal drug interactions and favorable side effect profile along with its low cost offer a more accessible option compared to other first-line treatments. Although further clinical trials are essential to establish ALA\u27s efficacy, continued research, could help evolve ALA into a first- or second-line option for the millions affected by this condition

‘I’m good, but not that good’: digitally-skilled young people’s identity in computing

Computers and information technology are fast becoming a part of young people’s everyday life. However, there remains a difference between the majority who can use computers and the minority who are computer scientists or professionals. Drawing on 32 semi-structured interviews with digitally-skilled young people (aged 13-19), we explore their views and aspirations in computing, with a focus on the identities and discourses that these youngsters articulate in relation to this field. Our findings suggest that, even among digitally-skilled young people, traditional identities of computing as people who are clever but antisocial still prevail, which can be unattractive for youths, especially girls. Digitally-skilled youths identify with computing in different ways and for different reasons. Most enjoy doing computing but few aspired to being a computer person. Implications of our findings for computing education are discussed, especially the continued need to broaden identities in computing, even for the digitally-skilled

The locus of legitimate interpretation in Big Data sciences : Lessons for computational social science from -omic biology and high-energy physics

This paper argues that analyses of the ways in which Big Data has been enacted in other academic disciplines can provide us with concepts that will help understand the application of Big Data to social questions. We use examples drawn from our Science and Technology Studies (STS) analyses of -omic biology and high energy physics to demonstrate the utility of three theoretical concepts: (i) primary and secondary inscriptions, (ii) crafted and found data, and (iii) the locus of legitimate interpretation. These help us to show how the histories, organisational forms, and power dynamics of a field lead to different enactments of big data. The paper suggests that these concepts can be used to help us to understand the ways in which Big Data is being enacted in the domain of the social sciences, and to outline in general terms the ways in which this enactment might be different to that which we have observed in the ‘hard’ sciences. We contend that the locus of legitimate interpretation of Big Data biology and physics is tightly delineated, found within the disciplinary institutions and cultures of these disciplines. We suggest that when using Big Data to make knowledge claims about ‘the social’ the locus of legitimate interpretation is more diffuse, with knowledge claims that are treated as being credible made from other disciplines, or even by those outside academia entirely

Autism:Implications for Inclusive Education with respect to Software Engineering

Contains fulltext : 219448.pdf (preprint version ) (Open Access)CSERC '1

Women\u27s experiences on the path to a career in game development

This chapter seeks to identify whether there is a dominant, presupposed career pipeline to a career in game development and then looks for women and women’s experiences at each stage of that pipeline. It concludes that a dominant pipeline does exist and that this pathway both disadvantages women who attempt it and marginalizes other pathways. Along the way women deal with obstacles that can delegitimize their choices and experiences and/or make the assumed pathway inhospitable. This chapter relies on published literature as well as data from the 2014 and 2015 Developer Satisfaction Surveys (DSS) conducted by the International Game Developers Association (IGDA) in partnership with the authors

Chatting through Pictures? A Classification of Images Tweeted in one week in the UK and USA

Twitter is used by a substantial minority of the populations of many countries to share short messages, sometimes including images. Nevertheless, despite some research into specific images, such as selfies, and a few news stories about specific tweeted photographs, little is known about the types of images that are routinely shared. In response, this article reports a content analysis of random samples of 800 images tweeted from the UK or USA during a week at the end of 2014. Although most images were photographs, a substantial minority were hybrid or layered image forms: phone screenshots, collages, captioned pictures, and pictures of text messages. About half were primarily of one or more people, including 10% that were selfies, but a wide variety of other things were also pictured. Some of the images were for advertising or to share a joke but in most cases the purpose of the tweet seemed to be to share the minutiae of daily lives, performing the function of chat or gossip, sometimes in innovative ways

Human and Machine Learning

In this paper, we consider learning by human beings and machines in the light of Herbert Simon’s pioneering contributions to the theory of Human Problem Solving. Using board games of perfect information as a paradigm, we explore differences in human and machine learning in complex strategic environments. In doing so, we contrast theories of learning in classical game theory with computational game theory proposed by Simon. Among theories that invoke computation, we make a further distinction between computable and computational or machine learning theories. We argue that the modern machine learning algorithms, although impressive in terms of their performance, do not necessarily shed enough light on human learning. Instead, they seem to take us further away from Simon’s lifelong quest to understand the mechanics of actual human behaviour