Butterfly Factorization

The paper introduces the butterfly factorization as a data-sparse approximation for the matrices that satisfy a complementary low-rank property. The factorization can be constructed efficiently if either fast algorithms for applying the matrix and its adjoint are available or the entries of the matrix can be sampled individually. For an $N \times N$ matrix, the resulting factorization is a product of $O(\log N)$ sparse matrices, each with $O(N)$ non-zero entries. Hence, it can be applied rapidly in $O(N\log N)$ operations. Numerical results are provided to demonstrate the effectiveness of the butterfly factorization and its construction algorithms

Psychometric Properties of Psychosexual Functioning Survey Among Autistic and Non-autistic Adults:Adapting the Self-Report Teen Transition Inventory to the U.S. Context

Psychosexual functioning is an important aspect of human development and relationships. A previous study investigated psychosexual functioning of autistic adolescents using the Teen Transition Inventory (TTI), but there is a lack of comprehensive measurement of psychosexual functioning among autistic and non-autistic (NA) adults. To address this gap, the current study adapted the self-report TTI to the Psychosexual Functioning Survey (PSFS) and presented it to 131 autistic (n = 59) and NA adults (n = 72) in the U.S. Comparisons of psychometric properties between the original TTI and the PSFS are shared; the developmental relevancy among some items was changed, and the alphas indicated a difference in the content of certain scales. Differences emerged between autistic and NA adults in both the intra- and interpersonal domains of psychosexual functioning, but not in sexual and intimate behaviors. The findings suggest the persistence of differences from adolescence to adulthood between autistic and NA people and highlight the importance of understanding the unique experiences of adults in psychosexual functioning relative to diagnostic status.</p

Psychometric Properties of Psychosexual Functioning Survey Among Autistic and Non-autistic Adults:Adapting the Self-Report Teen Transition Inventory to the U.S. Context

Psychosexual functioning is an important aspect of human development and relationships. A previous study investigated psychosexual functioning of autistic adolescents using the Teen Transition Inventory (TTI), but there is a lack of comprehensive measurement of psychosexual functioning among autistic and non-autistic (NA) adults. To address this gap, the current study adapted the self-report TTI to the Psychosexual Functioning Survey (PSFS) and presented it to 131 autistic (n = 59) and NA adults (n = 72) in the U.S. Comparisons of psychometric properties between the original TTI and the PSFS are shared; the developmental relevancy among some items was changed, and the alphas indicated a difference in the content of certain scales. Differences emerged between autistic and NA adults in both the intra- and interpersonal domains of psychosexual functioning, but not in sexual and intimate behaviors. The findings suggest the persistence of differences from adolescence to adulthood between autistic and NA people and highlight the importance of understanding the unique experiences of adults in psychosexual functioning relative to diagnostic status.</p

Chesapeake Bay Nitrogen Fluxes Derived From a Land-Estuarine Ocean Biogeochemical Modeling System: Model Description, Evaluation, and Nitrogen Bonds

The Chesapeake Bay plays an important role in transforming riverine nutrients before they are exported to the adjacent continental shelf. Although the mean nitrogen budget of the Chesapeake Bay has been previously estimated from observations, uncertainties associated with interannually varying hydrological conditions remain. In this study, a land-estuarine-ocean biogeochemical modeling system is developed to quantify Chesapeake riverine nitrogen inputs, within-estuary nitrogen transformation processes and the ultimate export of nitrogen to the coastal ocean. Model skill was evaluated using extensive in situ and satellite-derived data, and a simulation using environmental conditions for 2001-2005 was conducted to quantify the Chesapeake Bay nitrogen budget. The 5 year simulation was characterized by large riverine inputs of nitrogen (154 x 109 g N yr-1) split roughly 60: 40 between inorganic: organic components. Much of this was denitrified (34 x 109 g N yr-1) and buried (46 x 109 g N yr-1) within the estuarine system. A positive net annual ecosystem production for the bay further contributed to a large advective export of organic nitrogen to the shelf (91 x 109 g N yr-1) and negligible inorganic nitrogen export. Interannual variability was strong, particularly for the riverine nitrogen fluxes. In years with higher than average riverine nitrogen inputs, most of this excess nitrogen (50-60%) was exported from the bay as organic nitrogen, with the remaining split between burial, denitrification, and inorganic export to the coastal ocean. In comparison to previous simulations using generic shelf biogeochemical model formulations inside the estuary, the estuarine biogeochemical model described here produced more realistic and significantly greater exports of organic nitrogen and lower exports of inorganic nitrogen to the shelf

Non-adherence to eye care in people with diabetes

Objective Evaluate individual factors that impact adherence to eye care follow-up in patients with diabetes. Design and methods A 4-year retrospective chart review was conducted for 1968 patients with diabetes over age 40 from an urban academic center. Data collected included demographics, insurance, visual acuity, smoking status, medications, dates of dilated fundus examinations (DFE), and reported hemoglobin A1C and blood glucose levels. The primary outcome was timely DFE follow-up adherence following the initial eye exam visit. Results Overall, 41.6% of patients adhered to initial follow-up eye care recommendations. Multivariable analysis demonstrated that patients with severe diabetic retinopathy (DR) were more adherent than patients with mild DR (OR 1.86). Other variables associated with increased adherence were visual impairment and reported A1C or blood glucose. Smoking was associated with decreased adherence. Ethnicity and insurance were also significantly associated with adherence. Longitudinal follow-up rates were influenced by additional factors, including ethnicity and neighborhood deprivation index. Conclusions Patients with moderate to severe DR and/ or visual impairment were more likely to adhere to timely DFE follow-up. This could relate to the presence of visual symptoms and/or other systemic manifestations of diabetes. Smokers were less likely to adhere to timely DFE follow-up. One hypothesis is patients who smoke have other symptomatic health problems which patients prioritize over asymptomatic ocular disorders. In order to reduce vision loss from DR, practitioners should be aware that patients with mild and moderate DR, patients with normal vision, and smokers are at greater risk for poor follow-up eye care adherence. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved

CHILD ABUSE DURING THE COVID-19 PANDEMIC ̶ PROSPECT, RISK AND FACTORS: A NARRATIVE REVIEW

This narrative review focuses on the risk of child abuse, the determinants of child maltreatment during the Covid-19 outbreak, and conceivable psycho-social impact of child abuse. Literature was retrieved from Scopus, PubMed, PsycINFO, Web of Science along with Google Scholar with no time and context restrictions. The narrative analysis of all pertinent records shows that the risk of abuse towards children has spiked during the Covid-19 outbreak, especially sexual abuse and neglect. Prolonged living inside of homes, school closures, limited contact, unemployment, domestic violence, poor access to health care, and related social stressors have impacted on the rates of child abuse during the Covid-19 outbreak. These maltreated children may experience poor interpersonal relationships, problematic coping behaviours, and depressive disorders across their life span. These findings point to context-specific outcomes and protective measures that could assist prospective researches and guide policies.

Utilization of Light Detection and Ranging for Quality Control and Quality Assurance of Pavement Grades

Light Detection and Ranging (Lidar) technology is a useful tool that can assist transportation agencies during the design, construction, and maintenance phases of transportation projects. To demonstrate the utility of Lidar, this report discusses how Lidar data can be used while performing quality control and quality assurance (QC/QA) of pavement grades along road segments where safety concerns have been identified (e.g., increased crash rates due to water ponding on the roadway). Researchers modeled surface runoff using Lidar data for several roadways that had experienced significant crash increases during wet-weather events. Based on this modeling, the Kentucky Transportation Cabinet (KYTC) undertook corrective maintenance to eliminate the points of concerns. Applying Lidar on transportation projects holds much promise, but there are several challenges related to its accuracy that transportation agencies must be cognizant of before deploying it routinely or using it to replace conventional surveying techniques

Chesapeake Bay nitrogen fluxes derived from a land-estuarine ocean biogeochemical modeling system: Model description, evaluation, and nitrogen budgets

The Chesapeake Bay plays an important role in transforming riverine nutrients before they are exported to the adjacent continental shelf. Although the mean nitrogen budget of the Chesapeake Bay has been previously estimated from observations, uncertainties associated with interannually varying hydrological conditions remain. In this study, a land-estuarine-ocean biogeochemical modeling system is developed to quantify Chesapeake riverine nitrogen inputs, within-estuary nitrogen transformation processes and the ultimate export of nitrogen to the coastal ocean. Model skill was evaluated using extensive in situ and satellite-derived data, and a simulation using environmental conditions for 2001-2005 was conducted to quantify the Chesapeake Bay nitrogen budget. The 5 year simulation was characterized by large riverine inputs of nitrogen (154 x 10(9) g N yr(-1)) split roughly 60: 40 between inorganic: organic components. Much of this was denitrified (34 x 10(9) g N yr(-1)) and buried (46 x 10(9) g N yr(-1)) within the estuarine system. A positive net annual ecosystem production for the bay further contributed to a large advective export of organic nitrogen to the shelf (91 x 10(9) g N yr(-1)) and negligible inorganic nitrogen export. Interannual variability was strong, particularly for the riverine nitrogen fluxes. In years with higher than average riverine nitrogen inputs, most of this excess nitrogen (50-60%) was exported from the bay as organic nitrogen, with the remaining split between burial, denitrification, and inorganic export to the coastal ocean. In comparison to previous simulations using generic shelf biogeochemical model formulations inside the estuary, the estuarine biogeochemical model described here produced more realistic and significantly greater exports of organic nitrogen and lower exports of inorganic nitrogen to the shelf