Objective In response to the rapidly unfolding coronavirus disease 2019 (COVID-19) pandemic in spring 2020, we developed a caregiver-report measure to understand the extent to which children and families were exposed to events related to COVID-19 and their perceptions of its impact. This article reports on the factor structure and psychometric properties of this measure. Methods The COVID-19 Exposure and Family Impact Scales (CEFIS) were developed by a multidisciplinary, multi-institutional team using a rapid iterative process. Data from 1805 caregivers recruited from 28 programs at 15 institutions across the United States were collected from May—September 2020. We examined the underlying structure of the CEFIS using exploratory factor analyses and its internal consistency (Cronbach’s alpha). Results Participants reported a range of COVID-19-related events (M = 8.71 events of 25). On the bidirectional 4-point impact scale, mean scores were mostly above the midpoint, indicating a slightly negative impact. Cronbach’s alpha was excellent for Exposure (α = .80) and Impact (α = .92). Factor analysis identified six factors for Exposure (COVID-19 experiences, Access to essentials, Disruptions to living conditions, Loss of income, Family caregiving and activities, and Designation as an essential worker). There were three factors for Impact (Personal well-being, Family interactions, and Distress). Discussion The CEFIS has strong factors assessing Exposure to events related to COVID-19, and the Impact of these events on families of children in pediatric healthcare. These initial validation data support use of the CEFIS for measuring the effect of the pandemic.

Functional graphene optical sensors are now viable due to the recent developments in hand-held Raman spectroscopy and the chemical vapor deposition (CVD) of graphene fi lms. Herein, the strain in graphene/poly (methyl methacrylate) sensor coatings is followed using Raman band shifts. The performance of an "ideal" mechanically-exfoliated single crystal graphene fl ake is compared to a scalable CVD graphene fi lm. The dry-transferred mechanically exfoliated sample has no residual stresses, whereas the CVD sample is in compression following the solvent evaporation during its transfer. The behavior of the sensors under cyclic deformation shows an initial breakdown of the graphene-polymer interface with the interface then stabilizing after several cycles. The Raman 2D band shift rates per unit strain of the exfoliated graphene are ≈35% higher than CVD graphene making the former more strain sensitive. However, for practical wide-area applications, CVD graphene coatings are still viable candidates as a Raman system can be used to read the strain in any 5 µm diameter spot in the coating to an absolute accuracy of ≈0.01% strain and resolution of ≈27 microstrains (µs), which compares favorably to commercial photoelastic systems.

We have investigated the influence of gas phase chemistry on the chemical vapor deposition of graphene in a hot wall reactor. A new extended parameter space for graphene growth was defined through literature review and experimentation at low pressures (≥0.001 mbar). The deposited films were characterized by scanning electron microscopy, Raman spectroscopy, and dark field optical microscopy, with the latter showing promise as a rapid and nondestructive characterization technique for graphene films. The equilibrium gas compositions have been calculated across this parameter space. Correlations between the graphene films grown and prevalent species in the equilibrium gas phase revealed that deposition conditions associated with a high acetylene equilibrium concentration lead to good quality graphene deposition, and conditions that stabilize large hydrocarbon molecules in the gas phase result in films with multiple defects. The transition between lobed and hexagonal graphene islands was found to be linked to the concentration of the monatomic hydrogen radical, with low concentrations associated with hexagonal islands.

Biologics represent an increasingly important class of therapeutics, with 7 of the 10 top selling drugs from 2013 being in this class. Furthermore, health authority approval of biologics in the immuno-oncology space is expected to transform treatment of patients with debilitating and deadly diseases. The growing importance of biologics in the healthcare field has also resulted in the recent approvals of several biosimilars. These recent developments, combined with pressure to provide treatments at lower costs to payers, are resulting in increasing need for the industry to quickly and efficiently develop high yielding, robust processes for the manufacture of biologics with the ability to control quality attributes within narrow distributions. Achieving this level of manufacturing efficiency and the ability to design processes capable of regulating growth, death and other cellular pathways through manipulation of media, feeding strategies, and other process parameters will undoubtedly be facilitated through systems biology tools generated in academic and public research communities. Here we discuss the intersection of systems biology, 'Omics technologies, and mammalian bioprocess sciences. Specifically, we address how these methods in conjunction with traditional monitoring techniques represent a unique opportunity to better characterize and understand host cell culture state, shift from an empirical to rational approach to process development and optimization of bioreactor cultivation processes. We summarize the following six key areas: (i) research applied to parental, non-recombinant cell lines; (ii) systems level datasets generated with recombinant cell lines; (iii) datasets linking phenotypic traits to relevant biomarkers; (iv) data depositories and bioinformatics tools; (v) in silico model development, and (vi) examples where these approaches have been used to rationally improve cellular processes. We critically assess relevant and state of the art research being conducted in academic, government and industrial laboratories. Furthermore, we apply our expertise in bioprocess to define a potential model for integration of these systems biology approaches into biologics development.

Recent data from multiple organisms indicate that ␥-tubulin has essential, but incompletely defined, functions in addition to nucleating microtubule assembly. To investigate these functions, we examined the phenotype of mipAD159, a cold-sensitive allele of the ␥-tubulin gene of Aspergillus nidulans. Immunofluorescence microscopy of synchronized material revealed that at a restrictive temperature mipAD159 does not inhibit mitotic spindle formation. Anaphase A was inhibited in many nuclei, however, and after a slight delay in mitosis (ϳ6% of the cell cycle period), most nuclei reentered interphase without dividing. In vivo observations of chromosomes at a restrictive temperature revealed that mipAD159 caused a failure of the coordination of late mitotic events (anaphase A, anaphase B, and chromosomal disjunction) and nuclei reentered interphase quickly even though mitosis was not completed successfully. Time-lapse microscopy also revealed that transient mitotic spindle abnormalities, in particular bent spindles, were more prevalent in mipAD159 strains than in controls. In experiments in which microtubules were depolymerized with benomyl, mipAD159 nuclei exited mitosis significantly more quickly (as judged by chromosomal condensation) than nuclei in a control strain. These data reveal that ␥-tubulin has an essential role in the coordination of late mitotic events, and a microtubule-independent function in mitotic checkpoint control.