A Critical Analysis of the Content of the Course of Study in Commerical Law for High Schools Appraised by Three Criteria of Value with Specific Recommendations for South Dakota

The curriculum of present day schools is the agency through which the educational system in a large part fulfills the function for which it was created. The early trend was to place the emphasis on how to teach instead of what to teach. Before 1920, the curriculum was considered more or less fixed , and little time was devoted to research in curriculum content. In fact, less than 1500 courses of study had been published in the United States at that time

The first antenatal appointment: An exploratory study of the experiences of women with a diagnosis of mental illness

Objective to explore and gain insight into the expectations and experiences of women with a pre-existing diagnosis of mental illness, of their first booking appointment; to make recommendations for practice development and collaborative partnership working between healthcare professionals. Design a qualitative design using semi structured interviews and thematic analysis of the data. QSR NVivo 10 software is used to organise the data into themes. Setting the interviews took place either at the women׳s homes, or within the antenatal service with the consent of the woman and relevant practitioners. Participants twelve participants were selected from one antenatal clinic and one perinatal mental health service. Findings the themes identified within the data included the lack of information prior to the initial midwife booking appointment; the perception of too much information at the initial booking appointment and women not being clear about their mental health needs at this time; a general positivity about disclosing mental illness diagnoses; overall positive thoughts about midwives although some midwives appeared less knowledgeable about bipolar disorder, and perceptions about a lack of joined up working between antenatal and perinatal mental health services. Key conclusions and implications for practice it is recommended that GPs receive adequate training in order to equip them with the skills needed to discuss sensitive issues around perinatal mental illness and the impact on pregnancy and childbirth. Women require more information about their booking appointment, and it would be beneficial for their emotional and physical health needs to be assessed at each follow-up antenatal appointment. Midwives need to be facilitated to receive up-to-date knowledge of antenatal and postnatal mental illness and treatments, and the referral process to perinatal mental health services

Exploring masculinities, sexual health and wellbeing across areas of high deprivation in Scotland: the depth of the challenge to improve understandings and practices

Within and across areas of high deprivation, we explored constructions of masculinity in relation to sexual health and wellbeing, in what we believe to be the first UK study to take this approach. Our sample of 116 heterosexual men and women age 18–40 years took part in individual semi-structured interviews (n = 35) and focus group discussions (n = 18), across areas in Scotland. Drawing on a socio-ecological framework, findings revealed experience in places matter, with gender practices rooted in a domestically violent milieu, where localised, socio-cultural influences offered limited opportunities for more egalitarian performances of masculinity. We discuss the depths of the challenge in transforming masculinities in relation to sexual health and wellbeing in such communities

Biomarker-guided trials: Challenges in practice.

Biomarker-guided trials have drawn considerable attention as they promise to lead to improvements in the benefit-risk ratio of treatments and enhanced opportunities for drug development. A variety of such designs have been proposed in the literature, many of which have been adopted in practice. Implementing such trial designs in practice can be challenging, and identifying those challenges was the main objective of a workshop organised by the MRC Hubs for Trials Methodology Research Network's Stratified Medicine Working Group in March 2017. Participants reflected on completed and ongoing biomarker-guided trials to identify the practical challenges encountered. Here, the key challenges identified during the workshop including those related to funding, ethical and regulatory issues, recruitment, monitoring of samples and laboratories, biomarker assessment, and data sharing and resources, are discussed. Despite the complexities often associated with biomarker-guided trials, the workshop concluded that they can play an important role in advancing the field of personalised medicine. Therefore, it is important that the practical challenges surrounding their implementation are acknowledged and addressed

The micro-glitch in PSR B1821-24 : A case for a strange pulsar?

The single glitch observed in PSR B1821-24, a millisecond pulsar in M28, is unusual on two counts. First, the magnitude of this glitch is at least an order of magnitude smaller ($\Delta \nu / \nu \sim 10^{-11}$) than the smallest glitch observed to date. Secondly, all other glitching pulsars have strong magnetic fields with B \gsim 10^{11} G and are young, whereas PSR B1821-24 is an old recycled pulsar with a field strength of $2.25\times10^9 G$. We have suggested earlier that some of the recycled pulsars could actually be strange quark stars. In this work we argue that the crustal properties of such a {\em strange} pulsar are just right to give rise to a glitch of this magnitude, explaining the scarcity of larger glitches in millisecond pulsars.Comment: 5 pages, 5 figures, uses LaTeX2e(mn2e.cls) and astrobib(mn2e.bst): text substantially modified, to be published in MNRA

Search of scaling solutions in scalar-tensor gravity

We write new functional renormalization group equations for a scalar nonminimally coupled to gravity. Thanks to the choice of the parametrization and of the gauge fixing they are simpler than older equations and avoid some of the difficulties that were previously present. In three dimensions these equations admit, at least for sufficiently small fields, a solution that may be interpreted as a gravitationally dressed Wilson-Fisher fixed point. We also find for any dimension d>2 two analytic scaling solutions which we study for d=3 and d=4. One of them corresponds to the fixed point of the Einstein-Hilbert truncation, the others involve a nonvanishing minimal coupling

A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments

Metabonomics/metabolomics is an important science for the understanding of biological systems and the prediction of their behaviour, through the profiling of metabolites. Two technologies are routinely used in order to analyse metabolite profiles in biological fluids: nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS), the latter typically with hyphenation to a chromatography system such as liquid chromatography (LC), in a configuration known as LC–MS. With both NMR and MS-based detection technologies, the identification of the metabolites in the biological sample remains a significant obstacle and bottleneck. This article provides guidance on methods for metabolite identification in biological fluids using NMR spectroscopy, and is illustrated with examples from recent studies on mice

COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

BACKGROUND: Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. METHODS: In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive on Jan 23, 2020. Data on COVID-19 testing, vaccination, primary and secondary care records, and death registrations were collected until Nov 30, 2021. We defined ten COVID-19 phenotypes reflecting clinically relevant stages of disease severity and encompassing five categories: positive SARS-CoV-2 test, primary care diagnosis, hospital admission, ventilation modality (four phenotypes), and death (three phenotypes). We constructed patient trajectories illustrating transition frequency and duration between phenotypes. Analyses were stratified by pandemic waves and vaccination status. FINDINGS: Among 57 032 174 individuals included in the cohort, 13 990 423 COVID-19 events were identified in 7 244 925 individuals, equating to an infection rate of 12·7% during the study period. Of 7 244 925 individuals, 460 737 (6·4%) were admitted to hospital and 158 020 (2·2%) died. Of 460 737 individuals who were admitted to hospital, 48 847 (10·6%) were admitted to the intensive care unit (ICU), 69 090 (15·0%) received non-invasive ventilation, and 25 928 (5·6%) received invasive ventilation. Among 384 135 patients who were admitted to hospital but did not require ventilation, mortality was higher in wave 1 (23 485 [30·4%] of 77 202 patients) than wave 2 (44 220 [23·1%] of 191 528 patients), but remained unchanged for patients admitted to the ICU. Mortality was highest among patients who received ventilatory support outside of the ICU in wave 1 (2569 [50·7%] of 5063 patients). 15 486 (9·8%) of 158 020 COVID-19-related deaths occurred within 28 days of the first COVID-19 event without a COVID-19 diagnoses on the death certificate. 10 884 (6·9%) of 158 020 deaths were identified exclusively from mortality data with no previous COVID-19 phenotype recorded. We observed longer patient trajectories in wave 2 than wave 1. INTERPRETATION: Our analyses illustrate the wide spectrum of disease trajectories as shown by differences in incidence, survival, and clinical pathways. We have provided a modular analytical framework that can be used to monitor the impact of the pandemic and generate evidence of clinical and policy relevance using multiple EHR sources. FUNDING: British Heart Foundation Data Science Centre, led by Health Data Research UK