Policy and practice recommendations for services for disabled children during emergencies: Learning from COVID-19.

Aim: To seek consensus on recommendations for the delivery of services to disabled children in England during future emergencies.

Method: Candidate recommendations were drafted based on our related mapping review and qualitative research related to experiences during the COVID-19 pandemic. Iterative workshops with professionals and parent carers helped to refine the recommendations.

Network compression with configuration models and the minimum description length.

Random network models, constrained to reproduce specific statistical features, are often used to represent and analyze network data and their mathematical descriptions. Chief among them, the configuration model constrains random networks by their degree distribution and is foundational to many areas of network science. However, configuration models and their variants are often selected based on intuition or mathematical and computational simplicity rather than on statistical evidence.

Characterization of the Posterior Femoral Cutaneous Nerve and Its Clinical Application for Autologous Breast Reconstruction.

Autologous breast reconstruction (ABR) uses a harvested tissue flap from the abdomen, posterior thigh, or buttocks to rebuild the breast postmastectomy. Identification of nerves for use in autologous sensate breast reconstruction flaps is an important surgical consideration as loss of breast sensation is a common risk of ABR. The posterior femoral cutaneous nerve (PFCN) and its branches supply sensory innervation to skin of the posterior thigh, leg, perineum, and buttocks, creating a feasible candidate for sensate profunda artery perforator (PAP) flaps for reestablishing breast sensation through ABR.

Professional perspectives on facilitators and barriers for high quality provision of health, education and social care services to disabled children in England during the COVID-19 pandemic: a qualitative study.

Objectives: To understand how health, education and social care services for disabled children changed during the COVID-19 pandemic, what did or did not work well and what the impacts of service changes were on both professionals and families.

Design: Qualitative study using semistructured interviews.

Setting: Telephone and video call interviews and focus groups with professionals working in one of five local authority areas in England.

Optimization and performance analytics of global aircraft-based wastewater surveillance networks.

Aircraft wastewater surveillance has been proposed as a novel approach to monitor the global spread of pathogens. Here we develop a computational framework to provide actionable information for designing and estimating the effectiveness of global aircraft-based wastewater surveillance networks (WWSNs). We study respiratory diseases of varying transmission potentials and find that networks of 10 to 20 strategically placed wastewater sentinel sites can provide timely situational awareness and function effectively as an early warning system.

The Development and Validation of a Novel Training Infographic for the Physician Global Visual Analog Scale in Psoriatic Arthritis.

Objective: Psoriatic arthritis (PsA) is a heterogenous condition with musculoskeletal and skin manifestations. The physician global visual analog scale (VAS) is an important component of many composite scores used in clinical trials and observational studies. Currently, no training material exists to standardize this assessment.

Evaluation of Postoperative Efficacy and Safety of Celecoxib in Children Hospitalized After Adenotonsillectomy.

Objective: The choice of optimal analgesia following an adenotonsillectomy is a clinical issue because of the risk of respiratory depression and bleeding. The objective of this study was to assess the effect of celecoxib on opioid use and pain scores in children hospitalized after adenotonsillectomy and to document its adverse effects.

Methods: This retrospective study was conducted in a tertiary care pediatric hospital.

Duality between predictability and reconstructability in complex systems.

Predicting the evolution of a large system of units using its structure of interaction is a fundamental problem in complex system theory. And so is the problem of reconstructing the structure of interaction from temporal observations. Here, we find an intricate relationship between predictability and reconstructability using an information-theoretical point of view.

Teaching epistemic integrity to promote reliable scientific communication.

In an age of mass communication, citizens need to learn how to detect and transmit reliable scientific information. This need is exacerbated by the transmission of news through social media, where any individual has the potential to reach thousands of other users. In this article, we argue that fighting the uncontrolled transmission of unreliable information requires improved training in broad epistemic integrity.

NBS-SNI, an extension of the network-based statistic: Abnormal functional connections between important structural actors.

Elucidating the coupling between the structure and the function of the brain and its development across maturation has attracted a lot of interest in the field of network neuroscience in the last 15 years. Mounting evidence supports the hypothesis that the onset of certain brain disorders is linked with the interplay between the structural architecture of the brain and its functional processes, often accompanied with unusual connectivity features. This paper introduces a method called the network-based statistic-simultaneous node investigation (NBS-SNI) that integrates both representations into a single framework, and identifies connectivity abnormalities in case-control studies.

Maximizing efficiency in sunflower breeding through historical data optimization.

Genomic selection (GS) has become an increasingly popular tool in plant breeding programs, propelled by declining genotyping costs, an increase in computational power, and rediscovery of the best linear unbiased prediction methodology over the past two decades. This development has led to an accumulation of extensive historical datasets with genotypic and phenotypic information, triggering the question of how to best utilize these datasets. Here, we investigate whether all available data or a subset should be used to calibrate GS models for across-year predictions in a 7-year dataset of a commercial hybrid sunflower breeding program.

An Integrated Framework for Image Acquisition, Processing, and Analysis Procedures for Automated Damage Evaluation of Concrete Surfaces.

Concrete surface cracks serve as early indicators of potential structural threats. Visual inspection, a commonly used and versatile concrete condition assessment technique, is employed to assess concrete degradation by observing signs of damage on the surface level. However, the method tends to be qualitative and needs to be more comprehensive in providing accurate information regarding the extent of damage and its evolution, notwithstanding its time-consuming and environment-sensitive nature.

Escherichia coli CRISPR arrays from early life fecal samples preferentially target prophages.

CRISPR-Cas systems are defense mechanisms against phages and other nucleic acids that invade bacteria and archaea. In Escherichia coli, it is generally accepted that CRISPR-Cas systems are inactive in laboratory conditions due to a transcriptional repressor. In natural isolates, it has been shown that CRISPR arrays remain stable over the years and that most spacer targets (protospacers) remain unknown.

Nonlinear bias toward complex contagion in uncertain transmission settings.

Current epidemics in the biological and social domains are challenging the standard assumptions of mathematical contagion models. Chief among them are the complex patterns of transmission caused by heterogeneous group sizes and infection risk varying by orders of magnitude in different settings, like indoor versus outdoor gatherings in the COVID-19 pandemic or different moderation practices in social media communities. However, quantifying these heterogeneous levels of risk is difficult, and most models typically ignore them.

Hypergraph reconstruction from uncertain pairwise observations.

The network reconstruction task aims to estimate a complex system's structure from various data sources such as time series, snapshots, or interaction counts. Recent work has examined this problem in networks whose relationships involve precisely two entities-the pairwise case. Here, using Bayesian inference, we investigate the general problem of reconstructing a network in which higher-order interactions are also present.

The quizzical failure of a nudge on academic integrity education: a randomized controlled trial.

Background: Studies on academic integrity reveal high rates of plagiarism and cheating among students. We have developed an online teaching tool, Integrity Games ( https://integgame.eu/ ), that uses serious games to teach academic integrity.

The umbrella value of caribou management strategies for biodiversity conservation in boreal forests under global change.

Single-species conservation management is often proposed to preserve biodiversity in human-disturbed landscapes. How global change will impact the umbrella value of single-species management strategies remains an open question of critical conservation importance. We assessed the effectiveness of threatened boreal caribou as an umbrella for bird and beetle conservation under global change.

Temporal and Probabilistic Comparisons of Epidemic Interventions.

Forecasting disease spread is a critical tool to help public health officials design and plan public health interventions. However, the expected future state of an epidemic is not necessarily well defined as disease spread is inherently stochastic, contact patterns within a population are heterogeneous, and behaviors change. In this work, we use time-dependent probability generating functions (PGFs) to capture these characteristics by modeling a stochastic branching process of the spread of a disease over a network of contacts in which public health interventions are introduced over time.

Quantitative Measurement of Thermal Conductivity by SThM Technique: Measurements, Calibration Protocols and Uncertainty Evaluation.

Thermal management is a key issue for the downsizing of electronic components in order to optimise their performance. These devices incorporate more and more nanostructured materials, such as thin films or nanowires, requiring measurement techniques suitable to characterise thermal properties at the nanoscale, such as Scanning Thermal Microscopy (SThM). In active mode, a hot thermoresistive probe scans the sample surface, and its electrical resistance changes as a function of heat transfers between the probe and sample.

Using Adhesive Micropatterns and AFM to Assess Cancer Cell Morphology and Mechanics.

The mechanical properties of living cells reflect their physiological and pathological state. In particular, cancer cells undergo cytoskeletal modifications that typically make them softer than healthy cells, a property that could be used as a diagnostic tool. However, this is challenging because cells are complex structures displaying a broad range of morphologies when cultured in standard 2D culture dishes.

Nudging accurate scientific communication.

The recent replicability crisis in social and biomedical sciences has highlighted the need for improvement in the honest transmission of scientific content. We present the results of two studies investigating whether nudges and soft social incentives enhance participants' readiness to transmit high-quality scientific news. In two online randomized experiments (Total N = 2425), participants had to imagine that they were science journalists who had to select scientific studies to report in their next article.

School Attendance Problems Among Children with Neurodevelopmental Conditions One year Following the Start of the COVID-19 Pandemic.

Purpose: The present study investigated school absence among 1,076 5-15 year-old children with neurodevelopmental conditions (intellectual disability and/or autism) approximately one year following the start of COVID-19 in the UK.

Methods: Parents completed an online survey indicating whether their child was absent from school during May 2021 and the reason for each absence. Multi-variable regression models investigated child, family and school variables associated with absenteeism and types of absenteeism.