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In a volatile threat environment, the Army’s readiness and ability to execute missions at home and abroad increasingly hinge on digital dependencies spanning commercial software, IT/OT infrastructure, utilities, and the organic industrial base. This opener frames a cohesive approach to mission thread resilience across the Unified Network, emphasizing three imperatives: partner early and often with program managers, vendors, contractors, and local utilities to rehearse crisis response and establish shared understanding; procure secure by design capabilities with transparent vulnerability disclosure and rapid patching; and make data informed, commander owned risk decisions that enable formations to “fight through” disruption. Drawing lessons from the Army Cyber Institute’s Jack Voltaic workshops and the inaugural Army Defensive Cyberspace Operations Optimization Conference, the article illustrates how civil military interdependencies can cascade and how rehearsals reveal hidden assumptions. A “fort to port” vignette, where a cyber compromise of national rail switching triggers operational delays, shows the value of synchronized public-private response, near real-time operational data, and flexible branches and sequels. The piece calls for acquisition leaders to weigh vendor track records on zero days and patch latency, signals the need to report and coordinate through ARCYBER’s Information Warfare Operations Center and NETCOM’s Global Cyber Center, and argues for a whole-of-nation model akin to the Civil Reserve Air Fleet to surge cyber resilience. Ultimately, it celebrates the tenacity of signal and cyber professionals and invites continued thought leadership that prevents strategic surprise in cyberspace while transforming how the Army teams, trains, and fights in and through a contested homeland.

Maintenance monotherapy with the PARP inhibitor olaparib significantly prolonged progression-free survival (PFS) versus placebo in patients with platinum-sensitive recurrent serous ovarian cancer. We aimed to explore the hypothesis that olaparib is most likely to benefit patients with a BRCA mutation. We present data from the second interim analysis of overall survival and a retrospective, preplanned analysis of data by BRCA mutation status from our randomised, double-blind, phase 2 study that assessed maintenance treatment with olaparib 400 mg twice daily (capsules) versus placebo in patients with platinum-sensitive recurrent serous ovarian cancer who had received two or more platinum-based regimens and who had a partial or complete response to their most recent platinum-based regimen. Randomisation was by an interactive voice response system, stratified by time to progression on penultimate platinum-based regimen, response to the most recent platinum-based regimen before randomisation, and ethnic descent. The primary endpoint was PFS, analysed for the overall population and by BRCA status. This study is registered with ClinicalTrials.gov, number NCT00753545. Between Aug 28, 2008, and Feb 9, 2010, 136 patients were assigned to olaparib and 129 to placebo. BRCA status was known for 131 (96%) patients in the olaparib group versus 123 (95%) in the placebo group, of whom 74 (56%) versus 62 (50%) had a deleterious or suspected deleterious germline or tumour BRCA mutation. Of patients with a BRCA mutation, median PFS was significantly longer in the olaparib group than in the placebo group (11·2 months [95% CI 8·3–not calculable] vs 4·3 months [3·0–5·4]; HR 0·18 [0·10–0·31]; p<0·0001); similar findings were noted for patients with wild-type BRCA, although the difference between groups was lower (7·4 months [5·5–10·3] vs 5·5 months [3·7–5·6]; HR 0·54 [0·34–0·85]; p=0·0075). At the second interim analysis of overall survival (58% maturity), overall survival did not significantly differ between the groups (HR 0·88 [95% CI 0·64–1·21]; p=0·44); similar findings were noted for patients with mutated BRCA (HR 0·73 [0·45–1·17]; p=0·19) and wild-type BRCA (HR 0·99 [0·63–1·55]; p=0·96). The most common grade 3 or worse adverse events in the olaparib group were fatigue (in ten [7%] patients in the olaparib group vs four [3%] in the placebo group) and anaemia (seven [5%] vs one [<1%]). Serious adverse events were reported in 25 (18%) patients who received olaparib and 11 (9%) who received placebo. Tolerability was similar in patients with mutated BRCA and the overall population. These results support the hypothesis that patients with platinum-sensitive recurrent serous ovarian cancer with a BRCA mutation have the greatest likelihood of benefiting from olaparib treatment. AstraZeneca.

Black and Latinx individuals, and in particular women, comprise an essential health care workforce often serving in support roles such as nursing assistants and dietary service staff. Compared to physicians and nurses, they are underpaid and potentially undervalued, yet play a critical role in health systems. This study examined the impact of the coronavirus disease 2019 (COVID-19) pandemic from the perspective of Black and Latinx health care workers in support roles (referred to here as HCWs). From December 2020 to February 2021, we conducted 2 group interviews (n = 9, 1 group in English and 1 group in Spanish language) and 8 individual interviews (1 in Spanish and 7 in English) with HCWs. Participants were members of a high-risk workforce as well as of communities that suffered disproportionately during the pandemic. Overall, they described disruptive changes in responsibilities and roles at work. These disruptions were intensified by the constant fear of contracting COVID-19 themselves and infecting their family members. HCWs with direct patient care responsibilities reported reduced opportunities for personal connection with patients. Perspectives on vaccines reportedly changed over time, and were influenced by peers’ vaccination and information from trusted sources. The pandemic has exposed the stress endured by an essential workforce that plays a critical role in healthcare. As such, healthcare systems need to dedicate resources to improve the work conditions for this marginalized workforce including offering resources that support resilience. Overall working conditions and, wages must be largely improved to ensure their wellbeing and retain them in their roles to manage the next public health emergency. The role of HCWs serving as ambassadors to provide accurate information on COVID-19 and vaccination among their coworkers and communities also warrants further study.

It is long hypothesized that there is a reliable, specific mapping between certain emotional states and the facial movements that express those states. This hypothesis is often tested by asking untrained participants to pose the facial movements they believe they use to express emotions during generic scenarios. Here, we test this hypothesis using, as stimuli, photographs of facial configurations posed by professional actors in response to contextually-rich scenarios. The scenarios portrayed in the photographs were rated by a convenience sample of participants for the extent to which they evoked an instance of 13 emotion categories, and actors’ facial poses were coded for their specific movements. Both unsupervised and supervised machine learning find that in these photographs, the actors portrayed emotional states with variable facial configurations; instances of only three emotion categories (fear, happiness, and surprise) were portrayed with moderate reliability and specificity. The photographs were separately rated by another sample of participants for the extent to which they portrayed an instance of the 13 emotion categories; they were rated when presented alone and when presented with their associated scenarios, revealing that emotion inferences by participants also vary in a context-sensitive manner. Together, these findings suggest that facial movements and perceptions of emotion vary by situation and transcend stereotypes of emotional expressions. Future research may build on these findings by incorporating dynamic stimuli rather than photographs and studying a broader range of cultural contexts. It has long been hypothesized that certain emotional states are universally expressed with specific facial movements. Here the authors provide evidence that facial expressions of those emotional states are, in fact, varied among individuals rather than stereotyped.

Acute febrile illnesses are still a major cause of mortality and morbidity globally, particularly in low to middle income countries. The aim of this study was to determine any possible metabolic commonalities of patients infected with disparate pathogens that cause fever. Three liquid chromatography-mass spectrometry (LC-MS) datasets investigating the metabolic effects of malaria, leishmaniasis and Zika virus infection were used. The retention time (RT) drift between the datasets was determined using landmarks obtained from the internal standards generally used in the quality control of the LC-MS experiments. Fitted Gaussian Process models (GPs) were used to perform a high level correction of the RT drift between the experiments, which was followed by standard peakset alignment between the samples with corrected RTs of the three LC-MS datasets. Statistical analysis, annotation and pathway analysis of the integrated peaksets were subsequently performed. Metabolic dysregulation patterns common across the datasets were identified, with kynurenine pathway being the most affected pathway between all three fever-associated datasets.

Genome-wide association studies have uncovered thousands of common variants associated with human disease, but the contribution of rare variants to common disease remains relatively unexplored. The UK Biobank contains detailed phenotypic data linked to medical records for approximately 500,000 participants, offering an unprecedented opportunity to evaluate the effect of rare variation on a broad collection of traits 1 , 2 . Here we study the relationships between rare protein-coding variants and 17,361 binary and 1,419 quantitative phenotypes using exome sequencing data from 269,171 UK Biobank participants of European ancestry. Gene-based collapsing analyses revealed 1,703 statistically significant gene–phenotype associations for binary traits, with a median odds ratio of 12.4. Furthermore, 83% of these associations were undetectable via single-variant association tests, emphasizing the power of gene-based collapsing analysis in the setting of high allelic heterogeneity. Gene–phenotype associations were also significantly enriched for loss-of-function-mediated traits and approved drug targets. Finally, we performed ancestry-specific and pan-ancestry collapsing analyses using exome sequencing data from 11,933 UK Biobank participants of African, East Asian or South Asian ancestry. Our results highlight a significant contribution of rare variants to common disease. Summary statistics are publicly available through an interactive portal ( http://azphewas.com/ ). The authors analyse rare protein-coding genetic variants for association with 18,780 traits in the UK Biobank cohort.

Background Healthcare workers (HCW) are presumed to be at increased risk of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection due to occupational exposure to infected patients. However, there has been little epidemiological research to assess these risks. Methods We conducted a prospective cohort study of HCW ( n  = 546) and non-healthcare workers (NHCW; n  = 283) with no known prior SARS-CoV-2 infection who were recruited from a large U.S. university and two affiliated university hospitals. In this cross-sectional analysis of data collected at baseline, we examined SARS-CoV-2 infection status (as determined by presence of SARS-CoV-2 RNA in oropharyngeal swabs) by healthcare worker status and role. Results At baseline, 41 (5.0%) of the participants tested positive for SARS-CoV-2 infection, of whom 14 (34.2%) reported symptoms. The prevalence of SARS-CoV-2 infection was higher among HCW (7.3%) than in NHCW (0.4%), representing a 7.0% greater absolute risk (95% confidence interval for risk difference 4.7, 9.3%). The majority of infected HCW (62.5%) were nurses. Positive tests increased across the two weeks of cohort recruitment in line with rising confirmed cases in the hospitals and surrounding counties. Conclusions Overall, our results demonstrate that HCW had a higher prevalence of SARS-CoV-2 infection than NHCW. Continued follow-up of this cohort will enable us to monitor infection rates and examine risk factors for transmission.

In a large case–control study in England, immunity to the omicron variant was very low and less than that to the delta variant 20 weeks after the second vaccine dose, regardless of the initial vaccine type. A booster dose of one of the mRNA vaccines improved efficacy to approximately 65 to 70%, but protection waned over a 10-week period.