The Maximal Expected Benefit of SARS-CoV-2 Interventions Among University Students: A Simulation Study Using Latent Class Analysis.

Non-pharmaceutical public health measures (PHMs) were central to pre-vaccination efforts to reduce Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) exposure risk; heterogeneity in adherence placed bounds on their potential effectiveness, and correlation in their adoption makes assessing the impact attributable to an individual PHM difficult. During the Fall 2020 semester, we used a longitudinal cohort design in a university student population to conduct a behavioral survey of intention to adhere to PHMs, paired with an IgG serosurvey to quantify SARS-CoV-2 exposure at the end of the semester. Using Latent Class Analysis on behavioral survey responses, we identified three distinct groups among the 673 students with IgG samples: 256 (38.

Health-related quality of life and symptom concordance between patients and physicians in pulmonary arterial hypertension in the United States, Europe, and Japan.

This study involved analysis of a real world, cross-sectional survey of physicians and their patients with pulmonary arterial hypertension (PAH). Physician and patient symptom concordance was assessed and patients self-reported Health-Related Quality of Life (HRQoL). Data were drawn from the Adelphi PAH Disease Specific Programme (DSP)™ in the United States, France, Germany, Italy, Spain, United Kingdom, and Japan, between March and August 2022.

Clinical Characteristics and Treatment of Patients Diagnosed with Pulmonary Arterial Hypertension: A Real-World Study in the USA, Europe and Japan.

Introduction: This study aimed to describe the clinical characteristics of patients with pulmonary arterial hypertension, treatment received, and factors predicting initial or earlier combination therapy.

Methods: The Adelphi Real World Pulmonary Arterial Hypertension (PAH) Disease Specific Programme™ is a cross-sectional survey with retrospective data collection conducted in the USA, Europe (France, Germany, Italy, Spain, and the UK), and Japan from March to August 2022. Physicians reported patient characteristics, treatment history, and reasons for treatment selection.

A mutual information statistic for assessing state space partitions of dynamical systems.

We propose a mutual information statistic to quantify the information encoded by a partition of the state space of a dynamical system. We measure the mutual information between each point's symbolic trajectory history under a coarse partition (one with few unique symbols) and its partition assignment under a fine partition (one with many unique symbols). When applied to a set of test cases, this statistic demonstrates predictable and consistent behavior.

Sub-Optimal Disease Control and Low Blood Eosinophil Testing Frequency in Chinese Adult Patients with Asthma Receiving GINA Step 4/5 Treatment: A Real-World Study.

Purpose: To inform effective management strategies for severe asthma in China, this study aimed to comprehensively characterize clinical characteristics, treatment patterns, disease control status, and healthcare resource utilization among patients on GINA Step 4/5 therapies by analyzing data from the Adelphi Asthma Disease Specific Program conducted in China.

Patients And Methods: All information was retrieved from medical records or collected from physicians and patients on the survey date (August-December 2018); no follow-up was conducted. Results were summarized descriptively for patients on GINA Step 4/5 therapies, who were pooled from a consecutive sample (comprising three or more consecutive patients with physician-diagnosed asthma from each participating physician) and an oversample (comprising the next two patients with physician-perceived severe asthma from each participating physician).

Recent achievements in nonlinear dynamics, synchronization, and networks.

This Focus Issue covers recent developments in the broad areas of nonlinear dynamics, synchronization, and emergent behavior in dynamical networks. It targets current progress on issues such as time series analysis and data-driven modeling from real data such as climate, brain, and social dynamics. Predicting and detecting early warning signals of extreme climate conditions, epileptic seizures, or other catastrophic conditions are the primary tasks from real or experimental data.

Disease Burden, Treatment Patterns and Asthma Control in Adult Patients with Asthma in China: A Real-World Study.

Purpose: To inform better asthma management in China, this study aimed to comprehensively investigate clinical characteristics, treatment patterns, asthma control status, exacerbations, and humanistic burden among adult patients seeking hospital-based asthma care by analyzing data from Adelphi Asthma Disease Specific Program conducted in China.

Patients And Methods: All information was collected on survey date (August-December 2018) from medical records, physicians, or patients, without follow-up being conducted. Results are summarized descriptively for the overall population as well as subgroups defined by GINA 2018 treatment step.

Misinformation spreading on activity-driven networks with heterogeneous spreading rates.

The spread of misinformation on social media is inextricably related to each user's forwarding habits. In this paper, given that users have heterogeneous forwarding probabilities to their neighbors with varied relationships when they receive misinformation, we present a novel ignorant-spreader-refractory (ISR) spreading model with heterogeneous spreading rates on activity-driven networks with various types of links that encode these differential relationships. More exactly, in this model, the same type of links has an identical spreading rate, while different types of links have distinct ones.

Four-dimensional computed tomography and ultrasonography for prediction of pathological parathyroid location: a retrospective review of a single surgeon's patients at a single institution.

Background: Pre-operative imaging is a well-established practice for managing hyperparathyroidism with the plan for excision; however, there is a paucity of information regarding the success rate of concordant imaging studies. Our goal was to compare the accuracy (sensitivity) of four-dimensional computed tomography (4DCT) and ultrasound (US) when predicting the side and quadrant of parathyroid lesions, confirmed with surgical location (from a single surgeon).

Methods: A retrospective review of 437 patients from a single surgeon undergoing parathyroidectomy from December 2013 to January 2020 at an academic medical center was performed.

Focus on the disruption of networks and system dynamics.

Networks are designed to ensure proper functioning and sustained operability of the underlying systems. However, disruptions are generally unavoidable. Internal interactions and external environmental effects can lead to the removal of nodes or edges, resulting in unexpected collective behavior.

Quantifying wildland fire resources deployed during the compound threat of COVID-19.

Fire agencies across the United States must make complex resource allocation decisions to manage wildfires using a national network of shared firefighting resources. Firefighters play a critical role in suppressing fires and protecting vulnerable communities. However, they are exposed to health and safety risks associated with fire, smoke inhalation, and infectious disease transmission.

Disentangling effects of dispersal, environment and anthropogenic barriers on functional connectivity in aquatic systems.

Disentangling the roles of structural landscape factors and animal movement behaviour can present challenges for practitioners managing landscapes to maintain functional connectivity and achieve conservation goals. We used a landscape genetics approach to combine robust demographic, behavioural and genetic datasets with spatially explicit simulations to evaluate the effects of anthropogenic barriers (dams, culverts) and natural landscape resistance (gradient, elevation) affecting dispersal behaviour, genetic connectivity and genetic structure in a resident population of Westslope Cutthroat Trout (Oncorhynchus clarkii lewisi). Analyses based on 10 years of sampling effort revealed a pattern of restricted dispersal, and population genetics identified discrete population clusters between distal tributaries and the mainstem stream and no structure within the mainstem stream.

Psychosocial determinants of adolescents' attitudes toward disclosing dating violence.

This study combined a person-oriented approach with a psychosocial framework of help-seeking to examine factors associated with the intent to disclose dating violence among developing adolescents. Data came from adolescents in middle and high school in a rural area in the southeastern United States, who were surveyed annually for 4 years ( = 580; = 13 years, = 1.48; 52.

How people are exposed to neighborhoods racially different from their own.

In US cities, neighborhoods have long been racially segregated. However, people do not spend all their time in their neighborhoods, and the consequences of residential segregation may be tempered by the contact people have with other racial groups as they traverse the city daily. We examine the extent to which people's regular travel throughout the city is to places "beyond their comfort zone" (BCZ), i.

Network Spreading from Network Dimension.

Continuous-state network spreading models provide critical numerical and analytic insights into transmission processes in epidemiology, rumor propagation, knowledge dissemination, and many other areas. Most of these models reflect only local features such as adjacency, degree, and transitivity, so can exhibit substantial error in the presence of global correlations typical of empirical networks. Here, we propose mitigating this limitation via a network property ideally suited to capturing spreading.

Mobility data shows effectiveness of control strategies for COVID-19 in remote, sparse and diffuse populations.

Data that is collected at the individual-level from mobile phones is typically aggregated to the population-level for privacy reasons. If we are interested in answering questions regarding the mean, or working with groups appropriately modeled by a continuum, then this data is immediately informative. However, coupling such data regarding a population to a model that requires information at the individual-level raises a number of complexities.

Modeled Pathways and Fluxes of PCB Dechlorination by Redox Potentials.

Dechlorination is one of the main processes for the natural degradation of polychlorinated biphenyls (PCBs) in an anaerobic environment. However, PCB dechlorination pathways and products vary with PCB congeners, types of functional dechlorinating bacteria, and environmental conditions. The present study develops a novel model for determining dechlorination pathways and fluxes by tracking redox potential variability, transforming the complex dechlorination process into a stepwise sequence.

The chronic rhinosinusitis with nasal polyp patient journey in the United States and Europe.

In this letter to the editor, we present questionnaire-based data assessing the patient journey of adults with moderate-severe Chronic Rhinosinusitis with Nasal Polyps (CRSwNP) in the USA and five European countries. These data highlight how long and difficult the patient journey with CRSwNP can be and how improved disease awareness among physicians could lead to more timely diagnosis and treatment, and hence improved management of patients.

The diagnostic journey of pulmonary arterial hypertension patients: results from a multinational real-world survey.

Background: Pulmonary arterial hypertension (PAH) is a life-threatening, progressive disease often diagnosed late in its course.

Objectives: To present patient-reported data that were captured within a large, multinational, point-in-time survey of PAH-treating physicians and their patients to better understand the diagnostic journey.

Design: Cross-sectional survey conducted in five European countries (EU5), Japan and the USA.

Reservoir computing with higher-order interactive coupled pendulums.

The reservoir computing approach utilizes a time series of measurements as input to a high-dimensional dynamical system known as a reservoir. However, the approach relies on sampling a random matrix to define its underlying reservoir layer, which leads to numerous hyperparameters that need to be optimized. Here, we propose a nonlocally coupled pendulum model with higher-order interactions as a novel reservoir, which requires no random underlying matrices and fewer hyperparameters.