Livestreaming music in the UK: quantitative analysis

As part of a larger project on livestreaming, we created a survey to investigate how musicians’ working lives have been impacted by COVID-19, and whether livestreaming has helped them. We also sought to discover musician and audience attitudes towards livestreaming, as well as the role that they think it will play in the future. Using exploratory factor analysis, we were able to identify several theoretical latent constructs in the data, which we converted to principal components to use in three multiple linear regression analyses. These allowed us to single out several variables that predicted the number of livestreams performed by musicians, and also the number watched/paid for by livestream viewers. A central theme that arose was the importance of communication during livestreams, both between audience and performer, and among audience members. Concerns about the lack of interaction and shared emotional experience appear to hold people back from watching. Opinion is mixed over whether livestreaming will provide musicians with a viable, additional income stream, but people agree that it has a role in the future for reaching new audiences, and also that it should embrace new possibilities made possible by the format rather than aim to replicate the physical concert experience

Livestreaming Music in the UK: Report for Musicians

The aim of this research project is to share information on the practice of livestreaming concerts with musicians, with a view to enabling them to add livestreaming to their income ­generating activities. The COVID ­related lockdowns have propelled many musicians into the livestreaming arena and the practice of livestreaming concerts continues to evolve rapidly. This report can only provide a snapshot of the current situation, as technological innovation, potential changes in licensing, and the sharing of good practice will have an impact on how livestreaming is done in future. The report serves in part as a guide to the practical matters of livestreaming, such as monetisation methods, platforms and technical and licensing aspects, and in part as an overview of current livestreaming practices. It also aims to outline the role that livestreaming is playing during the COVID pandemic and its potential role in a post­-pandemic world. There are five main themes that have emerged from the research project

A Genetic Investigation of the Ectonucleotide Pyrophosphatase/Phosphodiesterase 1 (ENPP1) Variants with Diabetes and Glycemia Traits in Afro-Caribbean Men

Ectonucleotide pyrophosphatase/phosphodiesterase 1, which downregulates insulin signaling by inhibiting insulin-receptor tyrosine kinase activity, is encoded by the ENPP1 gene. Common variants in ENPP1 have been associated with body mass index (BMI), diabetes and glycemia related traits in populations of European Ancestry, but data in African ancestry populations are sparse. Our objective was to evaluate common ENPP1 variants for association with diabetes and glycemia related traits in a high risk Afro-Caribbean population. Thirty-four single nucleotide polymorphisms (SNPs) based on pair-wise tagging (r2 > 0.80; MAF > 0.05) were successfully genotyped in 380 cases and 1,455 controls without diabetes. Associations with BMI, fasting glucose, fasting insulin and HOMA-IR were also analyzed in non-diabetic controls. The most interesting association was observed between rs1044498 K121 allele and lower BMI (age-adjusted P = 0.018). Nominal associations were observed with ENPP1 SNPs and fasting glucose (age-and BMI-adjusted P=0.001 to 0.020). Also, six SNPs showed nominal evidence for association (P < 0.05) with diabetes in one or more genotypic model. The most significant associations were observed with SNPs in intron 11 (rs17060836; OR=1.32 [1.04-1.67]; dominant P = 0.019), two SNPs in intron 1 (rs703184, rs7749493; OR= 0.78 to 1.39) and three SNPs in the 3' untranslated region (rs7754561, rs7769993 and rs9373000; OR = 0.69-1.38). In this population of Afro-Caribbean men, the ENPP1-rs1044498 the K121 allele and intronic variants may modulate BMI and glucose. Also, variants in the 3' UTR confer an increased risk of developing diabetes confirming and extending reports in European and African Americans. After accounting for multiple testing, we conclude that ENPP1 is not a major contributor to diabetes related traits; nevertheless, our results reveal that variants in the ENPP1 gene may modulate BMI and maintain glucose homeostasis in this population of Afro-Caribbean men. These studies are of public health relevance or importance because they contribute epidemiologic information to the genetic etiology of type 2 diabetes in men of African ancestry

Exercise Promotion in Geriatric Oncology

Evidence of the benefits of exercise for people with cancer from diagnosis through survivorship is growing. However, most cancers occur in older adults and little exercise advice is available for making specific recommendations for older adults with cancer. Individualized exercise prescriptions are safe, feasible, and beneficial for the geriatric oncology population. Oncology providers must be equipped to discuss the short- and long-term benefits of exercise and assist older patients in obtaining appropriate exercise prescriptions. This review provides detailed information about professionals and their roles as it relates to functional assessment, intervention, and evaluation of the geriatric oncology population. This review addresses the importance of functional status assessment and appropriate referrals to other oncology professionals

Mechanism Design in Social Networks

This paper studies an auction design problem for a seller to sell a commodity in a social network, where each individual (the seller or a buyer) can only communicate with her neighbors. The challenge to the seller is to design a mechanism to incentivize the buyers, who are aware of the auction, to further propagate the information to their neighbors so that more buyers will participate in the auction and hence, the seller will be able to make a higher revenue. We propose a novel auction mechanism, called information diffusion mechanism (IDM), which incentivizes the buyers to not only truthfully report their valuations on the commodity to the seller, but also further propagate the auction information to all their neighbors. In comparison, the direct extension of the well-known Vickrey-Clarke-Groves (VCG) mechanism in social networks can also incentivize the information diffusion, but it will decrease the seller's revenue or even lead to a deficit sometimes. The formalization of the problem has not yet been addressed in the literature of mechanism design and our solution is very significant in the presence of large-scale online social networks.Comment: In The Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, US, 04-09 Feb 201

Acupuncture for chronic neck pain: a pilot for a randomised controlled trial

Background: Acupuncture is increasingly being used for many conditions including chronic neck pain. However the evidence remains inconclusive, indicating the need for further well-designed research. The aim of this study was to conduct a pilot randomised controlled parallel arm trial, to establish key features required for the design and implementation of a large-scale trial on acupuncture for chronic neck pain. Methods: Patients whose GPs had diagnosed neck pain were recruited from one general practice, and randomised to receive usual GP care only, or acupuncture ( up to 10 treatments over 3 months) as an adjunctive treatment to usual GP care. The primary outcome measure was the Northwick Park Neck Pain Questionnaire (NPQ) at 3 months. The primary analysis was to determine the sample size for the full scale study. Results: Of the 227 patients with neck pain identified from the GP database, 28 (12.3%) consenting patients were eligible to participate in the pilot and 24 (10.5%) were recruited to the trial. Ten patients were randomised to acupuncture, receiving an average of eight treatments from one of four acupuncturists, and 14 were randomised to usual GP care alone. The sample size for the full scale trial was calculated from a clinically meaningful difference of 5% on the NPQ and, from this pilot, an adjusted standard deviation of 15.3%. Assuming 90% power at the 5% significance level, a sample size of 229 would be required in each arm in a large-scale trial when allowing for a loss to follow-up rate of 14%. In order to achieve this sample, one would need to identify patients from databases of GP practices with a total population of 230,000 patients, or approximately 15 GP practices roughly equal in size to the one involved in this study (i.e. 15,694 patients). Conclusion: This pilot study has allowed a number of recommendations to be made to facilitate the design of a large-scale trial, which in turn will help to clarify the existing evidence base on acupuncture for neck pain

An approach to assess quality of life through biometric monitoring in cancer patients

Cancer is a serious disease that causes significant disability and suffering, so naturally Health Related Quality of Life (HRQoL) is a major concern of patients, families and clinicians. This paper intends to relate biometric indices, in terms of HRV metrics, with self-perceived HRQoL from patients with lymphoma. Patients (N = 12) answered FACT questionnaire and used a smartband that collected biometrical data in real-time along the chemotherapy treatment. Our results revealed that Physical Well-Being, Total, Lymphoma subscale and FACT-Lym Trial Outcome domains seem to have a similar pattern that HRV metrics across the treatment cycles. In specific, the FACT domains and the HRV metrics have the lowest average levels on the first cycle and seem to increase along the following cycles (3rd and 6th cycles). This approach of continuous assessment of HRQoL will enable a better accuracy and more supported clinical decision.QVida+: Estimação Contínua de Qualidade de Vida para Auxílio Eficaz à Decisão Clínica, funded by European Structural funds (FEDER-003446), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 202

Is the even distribution of insecticide-treated cattle essential for tsetse control? Modelling the impact of baits in heterogeneous environments

Background: Eliminating Rhodesian sleeping sickness, the zoonotic form of Human African Trypanosomiasis, can be achieved only through interventions against the vectors, species of tsetse (Glossina). The use of insecticide-treated cattle is the most cost-effective method of controlling tsetse but its impact might be compromised by the patchy distribution of livestock. A deterministic simulation model was used to analyse the effects of spatial heterogeneities in habitat and baits (insecticide-treated cattle and targets) on the distribution and abundance of tsetse. Methodology/Principal Findings: The simulated area comprised an operational block extending 32 km from an area of good habitat from which tsetse might invade. Within the operational block, habitat comprised good areas mixed with poor ones where survival probabilities and population densities were lower. In good habitat, the natural daily mortalities of adults averaged 6.14% for males and 3.07% for females; the population grew 8.46in a year following a 90% reduction in densities of adults and pupae, but expired when the population density of males was reduced to <0.1/km2; daily movement of adults averaged 249 m for males and 367 m for females. Baits were placed throughout the operational area, or patchily to simulate uneven distributions of cattle and targets. Gaps of 2–3 km between baits were inconsequential provided the average imposed mortality per km2 across the entire operational area was maintained. Leaving gaps 5–7 km wide inside an area where baits killed 10% per day delayed effective control by 4–11 years. Corrective measures that put a few baits within the gaps were more effective than deploying extra baits on the edges. Conclusions/Significance: The uneven distribution of cattle within settled areas is unlikely to compromise the impact of insecticide-treated cattle on tsetse. However, where areas of >3 km wide are cattle-free then insecticide-treated targets should be deployed to compensate for the lack of cattle

Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus

BACKGROUND: Diabetic nephropathy is a serious complication of diabetes mellitus and is associated with considerable morbidity and high mortality. There is increasing evidence to suggest that dysregulation of the epigenome is involved in diabetic nephropathy. We assessed whether epigenetic modification of DNA methylation is associated with diabetic nephropathy in a case-control study of 192 Irish patients with type 1 diabetes mellitus (T1D). Cases had T1D and nephropathy whereas controls had T1D but no evidence of renal disease. METHODS: We performed DNA methylation profiling in bisulphite converted DNA from cases and controls using the recently developed Illumina Infinium(R) HumanMethylation27 BeadChip, that enables the direct investigation of 27,578 individual cytosines at CpG loci throughout the genome, which are focused on the promoter regions of 14,495 genes. RESULTS: Singular Value Decomposition (SVD) analysis indicated that significant components of DNA methylation variation correlated with patient age, time to onset of diabetic nephropathy, and sex. Adjusting for confounding factors using multivariate Cox-regression analyses, and with a false discovery rate (FDR) of 0.05, we observed 19 CpG sites that demonstrated correlations with time to development of diabetic nephropathy. Of note, this included one CpG site located 18 bp upstream of the transcription start site of UNC13B, a gene in which the first intronic SNP rs13293564 has recently been reported to be associated with diabetic nephropathy. CONCLUSION: This high throughput platform was able to successfully interrogate the methylation state of individual cytosines and identified 19 prospective CpG sites associated with risk of diabetic nephropathy. These differences in DNA methylation are worthy of further follow-up in replication studies using larger cohorts of diabetic patients with and without nephropathy

A Landscape and Climate Data Logistic Model of Tsetse Distribution in Kenya

, biologically transmitted by the tsetse fly in Africa, are a major cause of illness resulting in both high morbidity and mortality among humans, cattle, wild ungulates, and other species. However, tsetse fly distributions change rapidly due to environmental changes, and fine-scale distribution maps are few. Due to data scarcity, most presence/absence estimates in Kenya prior to 2000 are a combination of local reports, entomological knowledge, and topographic information. The availability of tsetse fly abundance data are limited, or at least have not been collected into aggregate, publicly available national datasets. Despite this limitation, other avenues exist for estimating tsetse distributions including remotely sensed data, climate information, and statistical tools.Here we present a logistic regression model of tsetse abundance. The goal of this model is to estimate the distribution of tsetse fly in Kenya in the year 2000, and to provide a method by which to anticipate their future distribution. Multiple predictor variables were tested for significance and for predictive power; ultimately, a parsimonious subset of variables was identified and used to construct the regression model with the 1973 tsetse map. These data were validated against year 2000 Food and Agriculture Organization (FAO) estimates. Mapcurves Goodness-Of-Fit scores were used to evaluate the modeled fly distribution against FAO estimates and against 1973 presence/absence data, each driven by appropriate climate data.Logistic regression can be effectively used to produce a model that projects fly abundance under elevated greenhouse gas scenarios. This model identifies potential areas for tsetse abandonment and expansion