Bayesian optimization with a finite budget: An approximate dynamic programming approach

We consider the problem of optimizing an expensive objective function when a finite budget of total evaluations is prescribed. In that context, the optimal solution strategy for Bayesian optimization can be formulated as a dynamic programming instance. This results in a complex problem with uncountable, dimension-increasing state space and an uncountable control space. We show how to approximate the solution of this dynamic programming problem using rollout, and propose rollout heuristics specifically designed for the Bayesian optimization setting. We present numerical experiments showing that the resulting algorithm for optimization with a finite budget outperforms several popular Bayesian optimization algorithms

Advances in Bayesian Optimization with Applications in Aerospace Engineering

Optimization requires the quantities of interest that define objective functions and constraints to be evaluated a large number of times. In aerospace engineering, these quantities of interest can be expensive to compute (e.g., numerically solving a set of partial differential equations), leading to a challenging optimization problem. Bayesian optimization (BO) is a class of algorithms for the global optimization of expensive-to-evaluate functions. BO leverages all past evaluations available to construct a surrogate model. This surrogate model is then used to select the next design to evaluate. This paper reviews two recent advances in BO that tackle the challenges of optimizing expensive functions and thus can enrich the optimization toolbox of the aerospace engineer. The first method addresses optimization problems subject to inequality constraints where a finite budget of evaluations is available, a common situation when dealing with expensive models (e.g., a limited time to conduct the optimization study or limited access to a supercomputer). This challenge is addressed via a lookahead BO algorithm that plans the sequence of designs to evaluate in order to maximize the improvement achieved, not only at the next iteration, but once the total budget is consumed. The second method demonstrates how sensitivity information, such as gradients computed with adjoint methods, can be incorporated into a BO algorithm. This algorithm exploits sensitivity information in two ways: first, to enhance the surrogate model, and second, to improve the selection of the next design to evaluate by accounting for future gradient evaluations. The benefits of the two methods are demonstrated on aerospace examples

Patient and parent perspectives of adolescent Laparoscopic Adjustable Gastric Banding (LAGB)

Introduction Adolescent obesity is a significant global health challenge and severely obese adolescents commonly experience serious medical and psychosocial challenges. Consequently, severe adolescent obesity is increasingly being treated surgically. The limited available research examining the effectiveness of adolescent bariatric surgery focuses primarily on bio-medical outcomes. There is a need for a more comprehensive understanding of the behavioural, emotional and social factors which affect adolescents’ and parents’ experience of weight-loss surgery. Materials/Methods Patient and parents’ perspectives of adolescent LAGB were examined using a qualitative research methodology. Individual, semi-structured interviews were conducted with eight adolescent patients and five parents. Thematic analysis was used to identify key themes in the qualitative data. Results Patients and parents generally considered adolescent LAGB to be a life-changing experience, resulting in physical and mental health benefits. Factors considered to facilitate weight-loss following surgery included parental support and adherence to treatment guidelines. Many adolescents reported experiencing surgical weight-loss stigma and challenging interpersonal outcomes after weight-loss for which they felt unprepared. Conclusion Patients and parents perceived LAGB positively. There are opportunities to improve both the experience and outcomes of adolescent LAGB through parental education and enhancements to surgical aftercare programs

Zooming in on the intracellular microbiome composition of bacterivorous <i>Acanthamoeba</i> isolates

Acanthamoeba, a free-living amoeba in water and soil, is an emerging pathogen causing severe eye infection known as Acanthamoeba keratitis. In its natural environment, Acanthamoeba performs a dual function as an environmental heterotrophic predator and host for a range of microorganisms that resist digestion. Our objective was to characterize the intracellular microorganisms of phylogenetically distinct Acanthamoeba spp. isolated in Australia and India through directly sequencing 16S rRNA amplicons from the amoebae. The presence of intracellular bacteria was further confirmed by in situ hybridization and electron microscopy. Among the 51 isolates assessed, 41% harboured intracellular bacteria which were clustered into four major phyla: Pseudomonadota (previously known as Proteobacteria), Bacteroidota (previously known as Bacteroidetes), Actinomycetota (previously known as Actinobacteria), and Bacillota (previously known as Firmicutes). The linear discriminate analysis effect size analysis identified distinct microbial abundance patterns among the sample types; Pseudomonas species was abundant in Australian corneal isolates (P &lt; 0.007), Enterobacteriales showed higher abundance in Indian corneal isolates (P &lt; 0.017), and Bacteroidota was abundant in Australian water isolates (P &lt; 0.019). The bacterial beta diversity of Acanthamoeba isolates from keratitis patients in India and Australia significantly differed (P &lt; 0.05), while alpha diversity did not vary based on the country of origin or source of isolation (P &gt; 0.05). More diverse intracellular bacteria were identified in water isolates as compared with clinical isolates. Confocal and electron microscopy confirmed the bacterial cells undergoing binary fission within the amoebal host, indicating the presence of viable bacteria. This study sheds light on the possibility of a sympatric lifestyle within Acanthamoeba, thereby emphasizing its crucial role as a bunker and carrier of potential human pathogens

Asymmetric ketone hydroboration catalyzed by alkali metal complexes derived from BINOL ligands

The ability of alkali metal complexes featuring functionalized BINOL-derived ligands to catalyze ketone hydroboration reactions was explored. The reduced products were formed in excellent yield and with variable enantioselectivities dependent upon the nature of the ligand and the alkali metal cation

Women's beliefs about breast cancer causation in a breast cancer case-control study

Objective: Our study sought to ascertain women's beliefs about breast cancer risk factors and whether these beliefs differed by demographic factors and personal and family history of breast cancer. Methods: Participants in a case-control study of breast cancer rated the effect of 37 exposures on the risk of being diagnosed with breast cancer. Chi-square tests were undertaken to measure differences in responses between cases and controls for each exposure. Logistic regression was undertaken to ascertain whether demographic factors and personal and family history of breast cancer affected participants' ability to correctly identify known breast cancer risk factors. Results: A total of 2742 participants completed the questionnaire, comprising 1109 cases and 1633 controls. Significant differences (p&lt;0.05) between cases and controls were found for 16 of the 37 exposures. Younger women and university-educated women were more likely to correctly identify known breast cancer risk factors. Women's perceptions about the effect of alcohol consumption on breast cancer risk, particularly regarding red wine, differed from that reported in the literature. Conclusions: Beliefs about risk factors for breast cancer may differ between cases and controls. Public health initiatives aimed at increasing awareness of breast cancer risk factors should consider that women's beliefs may differ by demographic factors and family history of breast cancer

Effectiveness of digital interventions to improve household and community infection prevention and control behaviours and to reduce incidence of respiratory and/or gastro-intestinal infections: a rapid systematic review

BACKGROUND: Digital interventions have potential to efficiently support improved hygiene practices to reduce transmission of COVID-19. OBJECTIVE: To evaluate the evidence for digital interventions to improve hygiene practices within the community. METHODS: We reviewed articles published between 01 January 2000 and 26 May 2019 that presented a controlled trial of a digital intervention to improve hygiene behaviours in the community. We searched MEDLINE, Embase, PsycINFO, Cochrane Controlled Register of Trials (CENTRAL), China National Knowledge Infrastructure and grey literature. Trials in hospitals were excluded, as were trials aiming at prevention of sexually transmitted infections; only target diseases with transmission mechanisms similar to COVID-19 (e.g. respiratory and gastrointestinal infections) were included. Trials had to evaluate a uniquely digital component of an intervention. Study designs were limited to randomised controlled trials, controlled before-and-after trials, and interrupted time series analyses. Outcomes could be either incidence of infections or change in hygiene behaviours. The Risk of Bias 2 tool was used to assess study quality. RESULTS: We found seven studies that met the inclusion criteria. Six studies reported successfully improving self-reported hygiene behaviour or health outcomes, but only one of these six trials, Germ Defence, confirmed improvements using objective measures (reduced consultations and antibiotic prescriptions). Settings included kindergartens, workplaces, and service station restrooms. Modes of delivery were diverse: WeChat, website, text messages, audio messages to mobiles, electronic billboards, and electronic personal care records. Four interventions targeted parents of young children with educational materials. Two targeted the general population; these also used behaviour change techniques or theory to inform the intervention. Only one trial had low risk of bias, Germ Defence; the most common concerns were lack of information about the randomisation, possible bias in reporting of behavioural outcomes, and lack of an analysis plan and possible selective reporting of results. CONCLUSION: There was only one trial that was judged to be at low risk of bias, Germ Defence, which reduced incidence and severity of illness, as confirmed by objective measures. Further evaluation is required to determine the effectiveness of the other interventions reviewed. TRIAL REGISTRATION: PROSPERO CRD42020189919

Infection control behavior at home during the COVID-19 pandemic: observational study of a web-based behavioral intervention (Germ defence)

Background: To control the COVID-19 pandemic, people should adopt protective behaviors at home (self-isolation, social distancing, putting shopping and packages aside, wearing face coverings, cleaning and disinfecting, and handwashing). There is currently limited support to help individuals conduct these behaviors. Objective: This study aims to report current household infection control behaviors in the United Kingdom and examine how they might be improved. Methods: This was a pragmatic cross-sectional observational study of anonymous participant data from Germ Defence between May 6-24, 2020. Germ Defence is an open-access fully automated website providing behavioral advice for infection control within households. A total of 28,285 users sought advice from four website pathways based on household status (advice to protect themselves generally, to protect others if the user was showing symptoms, to protect themselves if household members were showing symptoms, and to protect a household member who is at high risk). Users reported current infection control behaviors within the home and intentions to change these behaviors. Results: Current behaviors varied across all infection control measures but were between sometimes (face covering: mean 1.61, SD 1.19; social distancing: mean 2.40, SD 1.22; isolating: mean 2.78, SD 1.29; putting packages and shopping aside: mean 2.75, SD 1.55) and quite often (cleaning and disinfecting: mean 3.17, SD 1.18), except for handwashing (very often: mean 4.00, SD 1.03). Behaviors were similar regardless of the website pathway used. After using Germ Defence, users recorded intentions to improve infection control behavior across all website pathways and for all behaviors (overall average infection control score mean difference 0.30, 95% CI 0.29-0.31). Conclusions: Self-reported infection control behaviors other than handwashing are lower than is optimal for infection prevention, although handwashing is much higher. Advice using behavior change techniques in Germ Defence led to intentions to improve these behaviors. Promoting Germ Defence within national and local public health and primary care guidance could reduce COVID-19 transmission