Determining Risk Factors That affect Progression in Patients With Nonproliferative Diabetic Retinopathy

PURPOSE: to determine risk factors that affect nonproliferative diabetic retinopathy (NPDR) progression and establish a predictive model to estimate the probability of and time to progression in NPDR. RESULTS: Two hundred thirty patients were included. Initially, 65 eyes (28.3%) had no retinopathy; 73 (31.7%) mild NPDR; 60 (26.1%) moderate NPDR; and 32 (13.9%) severe NPDR. Patients were followed for a mean of 5.8 years (±2.0 years; range 2.1-9.4 years). 164 (71.3%) eyes progressed during the follow-up. Time-independent risk factors affecting progression rate were age (hazard ratio (HR) = 0.99, CONCLUSION: HbA1c level is a significant modifiable risk factor in controlling the progression of DR. The proposed model could be used to predict the time and rate of progression based on an individual\u27s risk factors. A prospective multicenter study should be conducted to further validate our model

Social Networks, High-Risk anal Hpv and Coinfection With Hiv in Young Sexual Minority Men

OBJECTIVES: Young sexual minority men (SMM) exhibit a high prevalence and incidence of high-risk genotypes of human papillomavirus (hrHPV) anal infections and a confluence of a high prevalence of HIV and rectal STIs. Social determinants of health (SDOHs) are linked to social network contexts that generate and maintain racial disparities in HIV and STIs. A network perspective was provided to advance our knowledge of drivers of genotype-specific hrHPV infection and coinfection with HIV. The study also examined whether socially connected men are infected with the same high-risk HPV genotypes and, if so, whether this tendency is conditioned on coinfection with HIV. METHODS: Our sample included 136 young SMM of predominantly black race and their network members of other races and ethnicities, aged 18-29 years, who resided in Houston, Texas, USA. These participants were recruited during 2014-2016 at the baseline recruitment period by network-based peer referral, where anal exfoliated cells and named social and sexual partners were collected. Exponential random graph models were estimated to assess similarity in genotype-specific hrHPV anal infection in social connections and coinfection with HIV in consideration of the effects of similarity in sociodemographic, sexual behavioural characteristics, SDOHs and syphilis infection. RESULTS: Pairs of men socially connected to each other tend to be infected with the same hrHPV genotypes of HPV-16, HPV-45 and HPV-51 or HPV-16 and/or HPV-18. The tendency of social connections between pairs of men who were infected with either HPV-16 or HPV-18 were conditioned on HIV infection. CONCLUSIONS: Networked patterns of hrHPV infection could be amenable to network-based HPV prevention interventions that engage young SMM of predominantly racial minority groups who are out of HIV care and vulnerable to high-risk HPV acquisition

Beyond Scale-Free Networks: integrating Multilayer Social Networks With Molecular Clusters in the Local Spread of Covid-19

This study evaluates the scale-free network assumption commonly used in COVID-19 epidemiology, using empirical social network data from SARS-CoV-2 Delta variant molecular local clusters in Houston, Texas. We constructed genome-informed social networks from contact and co-residence data, tested them for scale-free power-law distributions that imply highly connected hubs, and compared them to alternative models (exponential, log-normal, power-law with exponential cutoff, and Weibull) that suggest more evenly distributed network connections. Although the power-law model failed the goodness of fit test, after incorporating social network ties, the power-law model was at least as good as, if not better than, the alternatives, implying the presence of both hub and non-hub mechanisms in local SARS-CoV-2 transmission. These findings enhance our understanding of the complex social interactions that drive SARS-CoV-2 transmission, thereby informing more effective public health interventions

Open X-Embodiment:Robotic learning datasets and RT-X models

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for many applications. Can such a consolidation happen in robotics? Conventionally, robotic learning methods train a separate model for every application, every robot, and even every environment. Can we instead train "generalist" X-robot policy that can be adapted efficiently to new robots, tasks, and environments? In this paper, we provide datasets in standardized data formats and models to make it possible to explore this possibility in the context of robotic manipulation, alongside experimental results that provide an example of effective X-robot policies. We assemble a dataset from 22 different robots collected through a collaboration between 21 institutions, demonstrating 527 skills (160266 tasks). We show that a high-capacity model trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities of multiple robots by leveraging experience from other platforms. The project website is robotics-transformer-x.github.io

Water quality study and its relationship with high tide and low tide at Kuantan river

Water is an essential resources that sustains life on earth, changes in the natural quality and distribution of water have ecological impacts that can sometimes be devastating. Recently, Malaysian is facing a lot of environmental issues regarding water pollution. The purpose of the study was to access the hydrological properties and water quality of the Kuantan River, Pahang and how it related to low tide and high tide. The main objectives of the research of Kuantan River and its tributaries were to determine the value of Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Suspended Solids (SS), Ammoniacal Nitrogen (AN), pH and Dissolved Oxygen (DO) through field and laboratory experiments during high tide and low tide. DO and pH were analyzed as in-situ measurement while the rest of the parameters were analyzed in the laboratory. Recent activities such as residential, industrial, commercial and agricultural activities have taken place in the areas surrounding the river. The impact of these activities may have caused environmental degradation to Kuantan River and its adjacent areas by changing the water system's hydrological characteristics, with prospects of possible long term deterioration

Are human papillomavirus knowledge and vaccine uptake associated with HIV status and social determinants of health in young sexual minority men?

This brief report examines the relationship, if any, between human immunodeficiency virus (HIV) status, and individual-level and socio-sexual partner-level factors of social determinants of health (SDOH) that are associated with human papillomavirus (HPV) knowledge and vaccine uptake in young sexual minority men (YSMM). We used data from 126 YSMM recruited by network-based sampling during 2015–2016 in Houston, Texas. Descriptive statistics and regression analyses were conducted to test the association between HIV status, SDOH, and HPV knowledge and vaccine uptake. Those living with HIV had lower odds of knowledge of HPV-associated anal cancer (OR: 0.43, 95% CI: 0.18–0.97) and knowledge of HPV spreading via sexual contact (OR: 0.11, 95% CI: 0.01–0.64), and higher odds of HPV vaccine uptake (OR: 2.90, 95% CI: 1.11–8.02). HPV knowledge and vaccine uptake in YSMM was not associated with partner’s attributes or individuals’ SDOH factors in our study yet was significantly associated with HIV status. Future interventions are needed to increase HPV knowledge among individuals living with HIV and vaccine uptake particularly among YSMM living without HIV that are not engaged in healthcare

Anal human papillomavirus (HPV) disagreement by Linear Array compared to SPF10 PCR-DEIA-LiPA25 system in young sexual minority men

Introduction: Young sexual minority men (SMM) bear the greatest burden of anal human papillomavirus (HPV) infections. We assessed anal HPV genotype discordance between the Linear Array (LA) and SPF10 PCR-DEIA-LiPA25 (LiPA25). Methods: Discordance was assessed between LA and LiPA25 using self-collected anal swabs from 120 SMM aged 18-29 who were recruited in 2014-2016. Multiple-type infection was explored as a potential confounder of testing agreement, along with clinical and behavioral factors such as HIV status, syphilis status, incarceration history, health insurance coverage, having 3 or more sex partners in the past 6 months, and co-infection with HPV-16. Results: Significant discordance was found for HPV-6, -11, -16, -31, -42, -54, and -59. Exploratory analyses suggest higher prevalence of genotype discordance in those living with HIV, those with 3 or more sex partners, and those who were positive for 4 or more HPV types. Conclusions: Our results highlight the importance of HPV detection methods which may inform different interpretations of research assessing anal HPV natural history among SMM at highest risk for HPV.</p