A retrospective cohort study to determine the association of MMR vaccination coverage and incidence of measles in the United States between 1996 and 2012

PURPOSE: The purpose of this study was to investigate the potential relationship between MMR vaccination coverage and measles incidence in the US, as well as to examine the demographic characteristics and socio-economic status of unvaccinated individuals to determine if there are certain sub-populations who are routinely not receiving the MMR vaccine. METHODS/PROCEDURES: This retrospective cohort study determined the MMR vaccination coverage per year and compared it to the measles incidence for the same year. RESULTS: Results from this study suggest that regional differences in MMR vaccination rates spanning across multiple sub-populations are associated with the increasing measles incidence in the US. CONCLUSIONS: The correlations between MMR vaccination coverage and measles incidence in the US should be investigated further to determine what specific programs can be put in place to increase MMR vaccination rates state-wide and among vulnerable sub-populations

Access to Algebra I, Gateway to Success: The Impact of Eighth-Grade Algebra I.

An understanding of Algebra I and the role that this foundational course plays as an entry to the college preparatory pathway in secondary education and its influence on mathematical achievement is an integral component for the education of American youth in the global world of science and technology. Achievements in high school curricula are cumulative; each course completed determines which paths will be open to the student and which postsecondary education options will be available. In today\u27s world, these options are necessary for the competitive world market. Algebra I is the prerequisite course for subsequent high school math pathways. Students exposed to higher level math and science pathways in high school score higher on college entrance exams such as the American College Test (ACT), and they are more likely to be successful in college due to greater competence in math (Conley, 2006). This research examined the effect of early Algebra I exposure in the 8th grade on students in 2 city school systems in Northeast Tennessee. More specifically, this study explored the correlation between Algebra I completion in the 8th grade and subsequent student achievement. The number of math classes attempted by high school seniors and ACT achievement scores, suggested that early exposure to algebra yields more math class participation and higher levels of mathematic achievement. This study found that students who successfully completed Algebra I in the 8th grade were able to earn more higher level high school math course credits than students who did not successfully complete Algebra I in grade 8. Successful completion of Algebra I in middle school allowed students to enroll in more varied and higher level math courses throughout their high school career

Are You Feeling It? The Emotional and Academic Impact of Students in Distress

It is often necessary for students to deal with short-term adversities which affect their daily routines. Such adversities include acute illnesses, physical injuries, and/or limitations. Although these issues are common at post-secondary institutions, the demanding curriculum at Worcester Polytechnic Institute may exacerbate the problem. The authors conducted a survey incorporating over 500 WPI students to examine the effects of such hardships on the emotional health and academic performance of the student. The problem is not limited to the student experiencing the adversity, but, rather, the consequences are felt widely among acquaintances and friends. The authors made recommendations to decrease the effects of the adversities as well as provided coping mechanisms for the students

Effect of Immobilized Chrysophsin-1 on S. aureus

Bacterial infections from contaminated food and medical devices are a common occurrence. Antimicrobial peptides (AMPs) effectively kill bacteria in solution. Peptides immobilized to a surface with a flexible spacer molecule, such as SM(PEG)12, may allow the peptides to retain their antibacterial properties, potentially helping to prevent these bacterial infections. This study focused on determining the ability of immobilized Chrysophsin-1, an AMP, to kill S. aureus, a gram-positive bacterium. QCM-D was used to characterize peptide and bacterial adsorption to a SiO2 surface. Results showed that Chrysophsin-1 bound via an SM(PEG)12 spacer molecule were not as effective at killing S. aureus when compared to peptide that was physically adsorbed to the surface

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers

Ultrasound (US) is the most widely used fetal imaging technique. However, US images have limited capture range, and suffer from view dependent artefacts such as acoustic shadows. Compounding of overlapping 3D US acquisitions into a high-resolution volume can extend the field of view and remove image artefacts, which is useful for retrospective analysis including population based studies. However, such volume reconstructions require information about relative transformations between probe positions from which the individual volumes were acquired. In prenatal US scans, the fetus can move independently from the mother, making external trackers such as electromagnetic or optical tracking unable to track the motion between probe position and the moving fetus. We provide a novel methodology for image-based tracking and volume reconstruction by combining recent advances in deep learning and simultaneous localisation and mapping (SLAM). Tracking semantics are established through the use of a Residual 3D U-Net and the output is fed to the SLAM algorithm. As a proof of concept, experiments are conducted on US volumes taken from a whole body fetal phantom, and from the heads of real fetuses. For the fetal head segmentation, we also introduce a novel weak annotation approach to minimise the required manual effort for ground truth annotation. We evaluate our method qualitatively, and quantitatively with respect to tissue discrimination accuracy and tracking robustness.Comment: MICCAI Workshop on Perinatal, Preterm and Paediatric Image analysis (PIPPI), 201

Association of Picky Eating and Food Neophobia with Weight: A Systematic Review

Background: Picky eating and food neophobia are common during childhood. Childhood eating behaviors are often predictive of adult eating behaviors

Thermal annealing behaviour and gel to crystal transition of a low molecular weight hydrogelator

The thermal annealing behaviour of an electrolyte-triggered calixarene hydrogelator is found to depend strongly on the specific metal chloride used. While the lithium chloride gel showed typical gel-sol transitions as a function of temperature, the magnesium chloride gel was found to repeatedly strengthen with heat-cool cycles. Structural investigations using small-angle neutron scattering, and scanning probe microscopy, suggest that the annealing behaviour is associated with a change in morphology of the fibrous structures supporting the gel. On prolonged standing at room temperature, the magnesium chloride gel underwent a gel-crystal transition, with the collapsing gel accompanied by the deposition of crystals of a magnesium complex of the proline-functionalised calix[4]arene gelator

Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study.

Artificial intelligence (AI)-enabled applications are increasingly being used in providing healthcare services, such as medical imaging support. Sufficient and appropriate education for medical imaging professionals is required for successful AI adoption. Although, currently, there are AI training programmes for radiologists, formal AI education for radiographers is lacking. Therefore, this study aimed to evaluate and discuss a postgraduate-level module on AI developed in the UK for radiographers. A participatory action research methodology was applied, with participants recruited from the first cohort of students enrolled in this module and faculty members. Data were collected using online, semi-structured, individual interviews and focus group discussions. Textual data were processed using data-driven thematic analysis. Seven students and six faculty members participated in this evaluation. Results can be summarised in the following four themes: a. participants' professional and educational backgrounds influenced their experiences, b. participants found the learning experience meaningful concerning module design, organisation, and pedagogical approaches, c. some module design and delivery aspects were identified as barriers to learning, and d. participants suggested how the ideal AI course could look like based on their experiences. The findings of our work show that an AI module can assist educators/academics in developing similar AI education provisions for radiographers and other medical imaging and radiation sciences professionals. A blended learning delivery format, combined with customisable and contextualised content, using an interprofessional faculty approach is recommended for future similar courses. [Abstract copyright: © 2023. The Author(s).

Beauty is in the AI of the beholder: Are we ready for the clinical integration of Artificial Intelligence in radiography? An exploratory analysis of perceived AI knowledge, skills, confidence, and education perspectives of UK radiographers

The use of artificial intelligence (AI) in medical imaging and radiotherapy has been met with both scepticism and excitement. However, clinical integration of AI is already well-underway. Many authors have recently reported on the AI knowledge and perceptions of radiologists/medical staff and students however there is a paucity of information regarding radiographers. Published literature agrees that AI is likely to have significant impact on radiology practice. As radiographers are at the forefront of radiology service delivery, an awareness of the current level of their perceived knowledge, skills, and confidence in AI is essential to identify any educational needs necessary for successful adoption into practice. The aim of this survey was to determine the perceived knowledge, skills, and confidence in AI amongst UK radiographers and highlight priorities for educational provisions to support a digital healthcare ecosystem. A survey was created on Qualtrics® and promoted via social media (Twitter®/LinkedIn®). This survey was open to all UK radiographers, including students and retired radiographers. Participants were recruited by convenience, snowball sampling. Demographic information was gathered as well as data on the perceived, self-reported, knowledge, skills, and confidence in AI of respondents. Insight into what the participants understand by the term "AI" was gained by means of a free text response. Quantitative analysis was performed using SPSS® and qualitative thematic analysis was performed on NVivo®. Four hundred and eleven responses were collected (80% from diagnostic radiography and 20% from a radiotherapy background), broadly representative of the workforce distribution in the UK. Although many respondents stated that they understood the concept of AI in general (78.7% for diagnostic and 52.1% for therapeutic radiography respondents, respectively) there was a notable lack of sufficient knowledge of AI principles, understanding of AI terminology, skills, and confidence in the use of AI technology. Many participants, 57% of diagnostic and 49% radiotherapy respondents, do not feel adequately trained to implement AI in the clinical setting. Furthermore 52% and 64%, respectively, said they have not developed any skill in AI whilst 62% and 55%, respectively, stated that there is not enough AI training for radiographers. The majority of the respondents indicate that there is an urgent need for further education (77.4% of diagnostic and 73.9% of therapeutic radiographers feeling they have not had adequate training in AI), with many respondents stating that they had to educate themselves to gain some basic AI skills. Notable correlations between confidence in working with AI and gender, age, and highest qualification were reported. Knowledge of AI terminology, principles, and applications by healthcare practitioners is necessary for adoption and integration of AI applications. The results of this survey highlight the perceived lack of knowledge, skills, and confidence for radiographers in applying AI solutions but also underline the need for formalised education on AI to prepare the current and prospective workforce for the upcoming clinical integration of AI in healthcare, to safely and efficiently navigate a digital future. Focus should be given on different needs of learners depending on age, gender, and highest qualification to ensure optimal integration. [Abstract copyright: Copyright © 2021 Rainey, O'Regan, Matthew, Skelton, Woznitza, Chu, Goodman, McConnell, Hughes, Bond, McFadden and Malamateniou.