Network effects in influenza spread: The impact of mobility and socio-economic factors.

This paper introduces new methods of modeling and analyzing social networks that emerge in the context of disease spread. Four methods of constructing informative networks are presented, two of which use. static data and two use temporal data, namely individual citizen mobility observations taken over an extensive period of time.

Validation of a Machine Learning Model for Early Shock Detection.

Objectives: The objectives of this study were to test in real time a Trauma Triage, Treatment, and Training Decision Support (4TDS) machine learning (ML) model of shock detection in a prospective silent trial, and to evaluate specificity, sensitivity, and other estimates of diagnostic performance compared to the gold standard of electronic medical records (EMRs) review.

Design: We performed a single-center diagnostic performance study.

Patients And Setting: A prospective cohort consisted of consecutive patients aged 18 years and older who were admitted from May 1 through September 30, 2020 to six Mayo Clinic intensive care units (ICUs) and five progressive care units.

Me, Myself, and Not-I: Self-Discrepancy Type Predicts Avatar Creation Style.

In video games, identification with avatars-virtual entities or characters driven by human behavior-has been shown to serve many interpersonal and intraindividual functions (like social connection, self-expression, or identity exploration) but our understanding of the psychological variables that influence players' avatar choices remains incomplete. The study presented in this paper tested whether players' preferred style of avatar creation is linked to the magnitude of self-perceived discrepancies between who they are, who they aspire to be, and who they think they should be. One-hundred-and-twenty-five undergraduate gamers indicated their preferred avatar creation style and completed a values measure from three different perspectives: their actual, ideal, and ought selves.

Decision Support for Tactical Combat Casualty Care Using Machine Learning to Detect Shock.

Introduction: The emergence of more complex Prolonged Field Care in austere settings and the need to assist inexperienced providers' ability to treat patients create an urgent need for effective tools to support care. We report on a project to develop a phone-/tablet-based decision support system for prehospital tactical combat casualty care that collects physiologic and other clinical data and uses machine learning to detect and differentiate shock manifestation.

Materials And Methods: Software interface development methods included literature review, rapid prototyping, and subject matter expert design requirements reviews.

"Give Me Proof": A Covert but Coercive Form of Non-partner Sexual Violence Contributing to Teen Pregnancy in Haiti and Opportunities for Biopsychosocial Intervention.

Adolescent girls in low-resource settings account for over 7.3 million births annually (generally unplanned). Unplanned teen pregnancies are increasing in low-resource settings.

An Update on Endocrine Mucin-producing Sweat Gland Carcinoma: Clinicopathologic Study of 63 Cases and Comparative Analysis.

Endocrine mucin-producing sweat gland carcinoma (EMPSGC) is a rare, low-grade adnexal neoplasm with predilection for the periorbital skin of older women. Histologically and immunophenotypically, EMPSGC is analogous to another neoplasm with neuroendocrine differentiation, solid papillary carcinoma of the breast. Both lesions are spatially associated with neuroendocrine mucinous adenocarcinomas of the skin and breast, respectively.

Machine Learning to Quantitate Neutrophil NETosis.

We introduce machine learning (ML) to perform classification and quantitation of images of nuclei from human blood neutrophils. Here we assessed the use of convolutional neural networks (CNNs) using free, open source software to accurately quantitate neutrophil NETosis, a recently discovered process involved in multiple human diseases. CNNs achieved >94% in performance accuracy in differentiating NETotic from non-NETotic cells and vastly facilitated dose-response analysis and screening of the NETotic response in neutrophils from patients.

Muir-Torre Syndrome: The Importance of a Detailed Family History.

Muir-Torre syndrome, a variant of Lynch syndrome or hereditary nonpolyposis colorectal cancer, is an autosomal dominant disease characterized by skin neoplasms (sebaceous or keratoacanthomas) and visceral malignancies. Due to the rarity of the syndrome there are no firm guidelines on how and when to test patients with its typical skin lesions. We describe a case that highlights the importance of a detailed family history.

NC HealthConnex and Value-based Care: Statewide Health Information Exchange as a Technology Tool for All.

A statewide health information exchange (HIE) can be a vital technology tool and play a pivotal role in driving health care innovation and better health outcomes, especially for providers participating in value-based care models. NC HealthConnex is the state-designated HIE network that gives participating providers secure and timely access to important patient data from more than 4,700 health care facilities spanning geographic locations and care settings.

The block spectrum of RNA pseudoknot structures.

In this paper we analyze the length-spectrum of blocks in [Formula: see text]-structures. [Formula: see text]-structures are a class of RNA pseudoknot structures that play a key role in the context of polynomial time RNA folding. A [Formula: see text]-structure is constructed by nesting and concatenating specific building components having topological genus at most [Formula: see text].

Pilot Study of a "Large-Eye," Surgically Induced Dry Eye Rabbit Model by Selective Removal of the Harderian, Lacrimal, and Meibomian Glands.

Background/aims: Establish a reliable rabbit dry eye (DE) model.

Methods: An interventional cohort study surgically removing glands contributing to the tear film. Eight rabbits were studied after removal of left lacrimal, Harderian, or both glands.

Is There an Increased Prevalence of Asteroid Hyalosis in Eyes with Uveal Melanoma? A Histopathologic Study.

During the planning meeting for the Collaborative Ocular Melanoma Study (COMS) prior to the start of patient recruitment in 1986, there was an interest expressed in determining whether a relationship existed between the presence of uveal melanoma (UM) and asteroid hyalosis (AH). To answer this question, the ophthalmic examination form (unlike the pathology form for enucleated eyes) for each COMS patient asked whether AH was present or not. Though an increased prevalence was not found, this result was never published.

Detection of extrascleral extension in uveal melanoma with histopathological correlation.

Purpose: Uveal melanoma is the most common primary intraocular malignancy. Extrascleral extension (ESE) is rare, but associated with an increased rate of orbital recurrence and an overall poor prognosis. Clinical studies show low rates when compared with histological studies.

Connecting Oral and Physical Health via the Health Information Exchange.

In 2015 North Carolina passed the Health Information Exchange Act, which mandates that all providers who receive state funds for the provision of health care services must connect and submit patient clinical and demographic data to the state-designated health information exchange by certain dates in 2018 and 2019. This article explains the statute and the benefits of health information exchange to support better oral health care.

Histopathological analysis of retinopathy of prematurity after intravitreal bevacizumab.

We report the case of a premature infant with end-organ failure who developed high-risk retinopathy of prematurity (ROP) bilaterally and was treated with intravitreal bevacizumab (IVB) injection therapy with regression noted on follow-up clinical examination. The infant died 3 weeks after IVB injection therapy. Histopathological analysis was conducted on bilateral globes and revealed persistent preretinal vessels.

Nonteratoid Medulloepithelioma Presenting in a 78-Year-Old Male.

Background: Medulloepithelioma is a rare congenital neoplasm derived from precursors of the nonpigmented ciliary epithelium of the ciliary body. The average patient age at clinical presentation is 3.8 years.