School Breakfast Club Programs in Australian Primary Schools, Not Just Addressing Food Insecurity: A Qualitative Study

Background: Many Australian primary schools have established school breakfast clubs (SBCs) to address concerns about children arriving at school hungry and the subsequent impact on learning but their effectiveness is uncertain. This study aimed to identify the perceived benefits, impacts, operational practices, and challenges of running SBCs. Method: Case studies with 10 Australian primary schools from different socioeconomic and geographic areas. Focus groups or interviews were held with 142 participants including students, parents/carers, school staff, and funding body representatives between July 2016 and October 2017. Results: There were no eligibility criteria to attend SBCs with all students able to attend, regardless of household income. Thus, participating in the SBC was often reported as a matter of choice rather than a consequence of food insecurity. Participants, including children, discussed the many social benefits of SBCs (i.e., social eating, relationship building, school connection, and engagement) as well as perceived improved classroom behavior. Challenges for program delivery included resource limitations, particularly, the reliance on volunteers and sourcing food. Discussion/Conclusion: SBCs offered a range of benefits beyond their primary goal of addressing food security. SBCs were highly valued by members of the school community for their social, welfare, well-being, and educational benefits, but program sustainability is constrained by resource limitations

Impact of the growing healthy mhealth program on maternal feeding practices, infant food preferences, and satiety responsiveness: Quasi-experimental study

© Catherine Georgina Russell, Elizabeth Denney-Wilson, Rachel A Laws, Gavin Abbott, Miaobing Zheng, Sharyn J Lymer, Sarah Taki, Eloise-Kate V Litterbach, Kok-Leong Ong, Karen J Campbell. Background: Infancy is an important life stage for obesity prevention efforts. Parents’ infant feeding practices influence the development of infants’ food preferences and eating behaviors and subsequently diet and weight. Mobile health (mHealth) may provide a feasible medium through which to deliver programs to promote healthy infant feeding as it allows low cost and easy access to tailored content. Objective: The objective of this study was to describe the effects of an mHealth intervention on parental feeding practices, infant food preferences, and infant satiety responsiveness. Methods: A quasi-experimental study was conducted with an mHealth intervention group (Growing Healthy) and a nonrandomized comparison group (“Baby's First Food"). The intervention group received access to a free app with age-appropriate push notifications, a website, and an online forum that provided them with evidence-based advice on infant feeding for healthy growth from birth until 9 months of age. Behavior change techniques were selected using the Behaviour Change Wheel framework. Participants in both groups completed three Web-based surveys, first when their infants were less than 3 months old (baseline, T1), then at 6 months (time 2, T2), and 9 months of age (time 3, T3). Surveys included questions on infant feeding practices and beliefs (Infant Feeding Questionnaire, IFQ), satiety responsiveness (Baby Eating Behaviour Questionnaire), and infant’s food exposure and liking. Multivariate linear regression models, estimated using maximum likelihood with bootstrapped standard errors, were fitted to compare continuous outcomes between the intervention groups, with adjustment for relevant covariates. Multivariate logistic regression adjusting for the same covariates was performed for categorical outcomes. Results: A total of 645 parents (Growing Healthy: n=301, Baby's First Food: n=344) met the eligibility criteria and were included in the study, reducing to a sample size of 546 (Growing Healthy: n=234, Baby's First Food: n=312) at T2 and a sample size of 518 (Growing Healthy: n=225, Baby's First Food: n=293) at T3. There were approximately equal numbers of boy and girl infants, and infants were aged less than 3 months at baseline (Growing Healthy: mean 7.0, SD 3.7 weeks; Baby's First Food: mean 7.9, SD 3.8 weeks), with Growing Healthy infants being slightly younger than Baby's First Food infants (P=.001). All but one (IFQ subscale “concerns about infant overeating or becoming overweight” at T2) of the measured outcomes did not differ between Growing Healthy and Baby's First Food. Conclusions: Although mHealth can be effective in promoting some health behaviors and offers many advantages in health promotion, the results of this study suggest that design and delivery characteristics needed to maximize the impact of mHealth interventions on infant feeding are uncertain. The sensitivity of available measurement tools and differences in baseline characteristics of participants may have also affected the results

Quantum-inspired interferometry with chirped laser pulses

We introduce and implement an interferometric technique based on chirped femtosecond laser pulses and nonlinear optics. The interference manifests as a high-visibility (> 85%) phase-insensitive dip in the intensity of an optical beam when the two interferometer arms are equal to within the coherence length of the light. This signature is unique in classical interferometry, but is a direct analogue to Hong-Ou-Mandel quantum interference. Our technique exhibits all the metrological advantages of the quantum interferometer, but with signals at least 10^7 times greater. In particular we demonstrate enhanced resolution, robustness against loss, and automatic dispersion cancellation. Our interferometer offers significant advantages over previous technologies, both quantum and classical, in precision time delay measurements and biomedical imaging.Comment: 6 pages, 4 figure

String theoretic QCD axions in the light of PLANCK and BICEP2

The QCD axion solving the strong CP problem may originate from antisymmetric tensor gauge fields in compactified string theory, with a decay constant around the GUT scale. Such possibility appears to be ruled out now by the detection of tensor modes by BICEP2 and the PLANCK constraints on isocurvature density perturbations. A more interesting and still viable possibility is that the string theoretic QCD axion is charged under an anomalous U(1)_A gauge symmetry. In such case, the axion decay constant can be much lower than the GUT scale if moduli are stabilized near the point of vanishing Fayet-Illiopoulos term, and U(1)_A-charged matter fields get a vacuum value far below the GUT scale due to a tachyonic SUSY breaking scalar mass. We examine the symmetry breaking pattern of such models during the inflationary epoch with the Hubble expansion rate 10^{14} GeV, and identify the range of the QCD axion decay constant, as well as the corresponding relic axion abundance, consistent with known cosmological constraints. In addition to the case that the PQ symmetry is restored during inflation, there are other viable scenarios, including that the PQ symmetry is broken during inflation at high scales around 10^{16}-10^{17} GeV due to a large Hubble-induced tachyonic scalar mass from the U(1)_A D-term, while the present axion scale is in the range 10^{9}-5\times 10^{13} GeV, where the present value larger than 10^{12} GeV requires a fine-tuning of the axion misalignment angle. We also discuss the implications of our results for the size of SUSY breaking soft masses.Comment: 29 pages, 1 figure; v3: analysis updated including the full anharmonic effects, references added, version accepted for publication in JHE

A Guided Workbook Intervention (WorkPlan) to Support Work-Related Goals Among Cancer Survivors: Protocol of a Feasibility Randomized Controlled Trial

Background: Returning to and staying at work following illness is associated with better physical and psychological functioning. Not working has been shown to be associated with reduced self-esteem, lowered self-efficacy, and decreased belief in one's ability to return to the workplace. Although there is a growing body of research looking at what predicts return to work following cancer treatment, there are fewer studies examining interventions targeting return to work. Objective: The primary objective is to assess the feasibility and acceptability of a theoretically led workbook intervention designed to support cancer patients in returning to work to inform a fully powered randomized controlled trial (RCT). Methods: This is a multicenter feasibility RCT where the main analysis uses a qualitative approach. Sixty participants (aged 18-65 years) who have received a diagnosis of cancer and who intend to return to work will be randomized to either the WorkPlan intervention group or a usual care group (ratio 1:1). Participants in the intervention group will receive a guided workbook intervention (which contains activities aimed at eliciting thoughts and beliefs, identifying targets and actions, and concrete steps to achieve goals) and will receive telephone support over a 4-week period. The primary outcome measure is time taken to return to work (in days), and secondary outcome measures include mood, quality of life, illness perceptions, and job satisfaction. Data will be collected through postal questionnaires administered immediately postintervention and at 6- and 12-month follow-ups. In addition, interviews will be undertaken immediately postintervention (to explore acceptability of the intervention and materials) and at 12-month follow-up (to explore perceptions of participation in the trial and experiences of returning to work). Results: Enrollment for the study will be completed in May 2016. Data analysis will commence in April 2017, and the first results are expected to be submitted for publication in late 2017. Conclusions: Currently no standardized return-to-work intervention based on targeting cancer patient beliefs is in existence. If the intervention is shown to be feasible and acceptable, the results of this study will inform a future full RCT with the potential to provide a valuable and cost-efficient tool in supporting cancer survivors in the return-to-work process

The South Asian genome

Genetics of disease Microarrays Variant genotypes Population genetics Sequence alignment AllelesThe genetic sequence variation of people from the Indian subcontinent who comprise one-quarter of the world's population, is not well described. We carried out whole genome sequencing of 168 South Asians, along with whole-exome sequencing of 147 South Asians to provide deeper characterisation of coding regions. We identify 12,962,155 autosomal sequence variants, including 2,946,861 new SNPs and 312,738 novel indels. This catalogue of SNPs and indels amongst South Asians provides the first comprehensive map of genetic variation in this major human population, and reveals evidence for selective pressures on genes involved in skin biology, metabolism, infection and immunity. Our results will accelerate the search for the genetic variants underlying susceptibility to disorders such as type-2 diabetes and cardiovascular disease which are highly prevalent amongst South Asians.Whole genome sequencing to discover genetic variants underlying type-2 diabetes, coronary heart disease and related phenotypes amongst Indian Asians. Imperial College Healthcare NHS Trust cBRC 2011-13 (JS Kooner [PI], JC Chambers)

Reinforcement learning or active inference?

This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive behaviours using a free-energy formulation of perception. In this formulation, agents adjust their internal states and sampling of the environment to minimize their free-energy. Such agents learn causal structure in the environment and sample it in an adaptive and self-supervised fashion. This results in behavioural policies that reproduce those optimised by reinforcement learning and dynamic programming. Critically, we do not need to invoke the notion of reward, value or utility. We illustrate these points by solving a benchmark problem in dynamic programming; namely the mountain-car problem, using active perception or inference under the free-energy principle. The ensuing proof-of-concept may be important because the free-energy formulation furnishes a unified account of both action and perception and may speak to a reappraisal of the role of dopamine in the brain

A high-content small molecule screen identifies sensitivity of glioblastoma stem cells to inhibition of polo-like kinase 1

Glioblastoma multiforme (GBM) is the most common primary brain cancer in adults and there are few effective treatments. GBMs contain cells with molecular and cellular characteristics of neural stem cells that drive tumour growth. Here we compare responses of human glioblastoma-derived neural stem (GNS) cells and genetically normal neural stem (NS) cells to a panel of 160 small molecule kinase inhibitors. We used live-cell imaging and high content image analysis tools and identified JNJ-10198409 (J101) as an agent that induces mitotic arrest at prometaphase in GNS cells but not NS cells. Antibody microarrays and kinase profiling suggested that J101 responses are triggered by suppression of the active phosphorylated form of polo-like kinase 1 (Plk1) (phospho T210), with resultant spindle defects and arrest at prometaphase. We found that potent and specific Plk1 inhibitors already in clinical development (BI 2536, BI 6727 and GSK 461364) phenocopied J101 and were selective against GNS cells. Using a porcine brain endothelial cell blood-brain barrier model we also observed that these compounds exhibited greater blood-brain barrier permeability in vitro than J101. Our analysis of mouse mutant NS cells (INK4a/ARF(-/-), or p53(-/-)), as well as the acute genetic deletion of p53 from a conditional p53 floxed NS cell line, suggests that the sensitivity of GNS cells to BI 2536 or J101 may be explained by the lack of a p53-mediated compensatory pathway. Together these data indicate that GBM stem cells are acutely susceptible to proliferative disruption by Plk1 inhibitors and that such agents may have immediate therapeutic value

KONSELINGNARATIF UNTUK MENGEMBANGKAN REGULASI DIRI (SELF REGULATION)SISWA SMA KOTA BANDAR LAMPUNG

Penelitian dilatarbelakangi oleh fenomena belum optimalnya regulasi diri remaja di SMA sehingga menimbulkan perilaku yang tidak sesuai dengan norma dan etika. Penelitian ini bertujuan menguji keefektivan konseling naratif untuk mengembangkan regulasi diri siswa SMA. Penelitian menggunakan pendekatan explanatory mixed methode dengan desain quasi-eksperimen. Populasi penelitian yaitu siswa kelas XI SMA Kota Bandarlampung Tahun Ajaran 2016/2017 dengan sampel penelitian sebanyak 794 orang siswa. Hasil penelitian menunjukkan (1) konseling naratif secara empirik terbukti efektif untuk mengembangkan regulasi diri siswa kelas XI SMA Kota Bandarlampung baik pada analisis total, aspek, maupun pada analisis indikator, (2) setelah mengikuti konseling naratif profil regulasi diri siswa kelas XI SMAN Kota Bandarlampung tahun ajaran 2016/2017 yang berada pada kategori sedang dan tinggi semakin bertambah banyak sedangkan pada kategori rendah semakin berkurang, (3) tidak ada perbedaan perkembangan regulasi diri antara siswa laki-laki dengan siswa perempuan Kelas XI SMA Kota Bandarlampung setelah konseling naratif, (4) ada perbedaan perkembangan regulasi diri antara siswa sekolah lower dengan siswa sekolah favorit setelah mengikuti konseling naratif. Siswa sekolah lower secara empirik terbukti memiliki regulasi diri lebih tinggi dibanding siswa sekolah favorit, dan (5) tidak ada perbedaan perkembangan regulasi diri antara siswa IPA dengan IPS Kelas XI SMA Kota Bandarlampung setelah mengikuti konseling naratif. Hasil penelitian ini direkomendasikan kepada guru Bimbingan dan Konseling/ Konselor, yakni implementasi konseling naratif dalam setting kelompok mengikuti tahapan: membentuk kelompok, ekternalisasi masalah kelompok, mengembangkan cerita, membentuk karakter konseli agar terpisah dengan masalah, membangun cerita, idetifikasi diri konseli, penguatan, menemukan cerita alternatif, dan perayaan. Bagi penelitian selanjutnya adalah melakukan penelitian konseling naratif untuk mengembangkan regulasi diri siswa dengan setting individual baik bagi siswa SMA, SMK, SMP, MTs, SD maupun MI. ;---The Study is based on the phenomenon where self regulation on adolescent hasn’t been optimal in Senior High School so it causes the inappropriate behavior towards norm and ethic. This study aim the effectiveness of narrative counseling to develop self regulation of Senior High School student. This study use explanatory mix methode approach with Quation Experimental Design. Population of this study is the student of Senior High School grade XI in Bandarlampung City on Academic Year 2016/2017 with 794 students as study’s sample. The Result of this study shows that (1) narrative counseling has been proven effectively to develop self regulation of the student of Senior High School grade XI in Bandarlampung City, whether on total analysis, aspect, or analysis indicator (2) after participating in the narrative counseling profile of the student of Senior High School grade XI in Bandarlampung City on Academic Year 2016/2017 on middle and high category become much more, while the low category decrease, (3) there is no difference on the development between male student and female student of Senior High School grade XI in Bandarlampung City after narrative counseling. (4) there is difference of the self regulation development between student of lower school with student of favourite school, and (5) there is no difference of the self regulation development between Science Student with Social Student of Senior High School grade XI in Bandarlampung City after participating in narrative counseling. The Result of this study is recommended to the teacher of Guidance and Counseling/Counselor, specifically the implementation of narrative counseling in group setting following the steps: forming the group, externalization of group problem, building the story, self-identification of counselee, strengthening, finding alternative story, and celebration. The upcoming study is about conducting narrative counseling experiment to develop student’s self regulation with individual setting whether for Senior High School, Vocational High School, Midle High School, MTs, Elementary School or MI

Hierarchical Models in the Brain

This paper describes a general model that subsumes many parametric models for continuous data. The model comprises hidden layers of state-space or dynamic causal models, arranged so that the output of one provides input to another. The ensuing hierarchy furnishes a model for many types of data, of arbitrary complexity. Special cases range from the general linear model for static data to generalised convolution models, with system noise, for nonlinear time-series analysis. Crucially, all of these models can be inverted using exactly the same scheme, namely, dynamic expectation maximization. This means that a single model and optimisation scheme can be used to invert a wide range of models. We present the model and a brief review of its inversion to disclose the relationships among, apparently, diverse generative models of empirical data. We then show that this inversion can be formulated as a simple neural network and may provide a useful metaphor for inference and learning in the brain