UNASSIGNED: Hyperkalemia is a prevalent electrolyte disorder related to elevated serum potassium levels, resulting in diverse abnormal electrocardiographic findings and associated clinical signs and symptoms, often necessitating specific treatment. However, in some patients, these abnormal findings may not be present on the electrocardiogram even in elevated serum potassium levels. This study aims to identify electrocardiographic abnormalities related to the severity of hyperkalemia and the clinical outcomes in an emergency department in southwestern Colombia.
UNASSIGNED: This is a retrospective cross-sectional descriptive study. We described the electrocardiographic findings, clinical characteristics, treatment, and outcomes related to the degrees of hyperkalemia. The potential association between the severity of hyperkalemia and electrocardiographic findings was evaluated.
UNASSIGNED: A total of 494 patients were included. The median of the potassium level was 6.6 mEq/L. Abnormal electrocardiographic findings were reported in 61.5% of the cases. Mild and severe hyperkalemia groups reported abnormalities in 59.9% and 61.2%, respectively. The most common electrocardiography abnormalities were the peaked T wave 36.2%, followed by wide QRS 83 (16.8%). Only 1.4% of patients had adverse outcomes. The abnormal findings were registered in 61.5%. Mortality was 11.9%. The peaked T wave was the most common finding across different levels of hyperkalemia severity.
UNASSIGNED: High serum potassium levels are related with abnormal ECG. However, patients with different degrees of hyperkalemia could not describe abnormal ECG findings. In a high proportion of patients with renal chronic disease and hyperkalemia, the abnormalities in the ECG could be minimal or absent.

Recent years have seen a surge in the use of diffusion MRI to map connectomes in humans, paralleled by a similar increase in processing and analysis choices. Yet these different steps and their effects are rarely compared systematically. Here, in a healthy young adult population (n = 294), we characterized the impact of a range of analysis pipelines on one widely studied property of the human connectome: its degree distribution. We evaluated the effects of 40 pipelines (comparing common choices of parcellation, streamline seeding, tractography algorithm, and streamline propagation constraint) and 44 group-representative connectome reconstruction schemes on highly connected hub regions. We found that hub location is highly variable between pipelines. The choice of parcellation has a major influence on hub architecture, and hub connectivity is highly correlated with regional surface area in most of the assessed pipelines (ρ > 0.70 in 69% of the pipelines), particularly when using weighted networks. Overall, our results demonstrate the need for prudent decision-making when processing diffusion MRI data, and for carefully considering how different processing choices can influence connectome organization.

BACKGROUND: Midwives\' contribution to improving outcomes for women and newborns depends on factors such as quality of pre-service training, access to continuing professional development, and the presence of an enabling work environment. The absence of opportunities for career development increases the likelihood that health professionals, including midwives, will consider leaving the profession due to a lack of incentives to sustain and increase motivation to remain in the field. It also limits the opportunities to better contribute to policy, training, and research. This study aimed to assess the influence of a Master in Sexual and Reproductive Health (SRH) at the INFSS on midwives\' career progression in Mali.
METHODS: This mixed methods study was conducted using an online questionnaire, semi-structured interviews, and a document review. The study participants included graduates from two cohorts (N = 22) as well as employers, managers, and teachers of the graduates (N = 20). Data were analysed according to research questions, comparing, and contrasting answers between different groups of respondents.
RESULTS: The study revealed that graduates enrolled in the programme primarily to improve their knowledge and skills in management and public health. The graduates\' expected roles are those of programme and health project manager and participation in planning and monitoring activities at national or sub-national level. The managers expected the programme to reflect the needs of the health system and equip midwives with skills in management and planning. The Master enhanced opportunities for graduates to advance their career in fields they are not usually working in such as management, research, and supervision. However, the recognition of the master\'s degree and of the graduates\' profile is not yet fully effective.
CONCLUSIONS: The master\'s degree in SRH is a capacity building programme. Graduates developed skills and acquired advanced knowledge in research and management, as well as a postgraduate degree. However, the master programme needs to be better aligned with health system needs to increase the recognition of graduates\' skills and have a more positive impact on graduates\' careers.

Nursing education and formation is still heterogenous in spite of The Bologna Declaration in 1999. Apart from the existence of basic curriculum standards, universities have flexibility regarding its design. The objective of this study is to provide an overview of contemporary nursing education and contrast it with the legal frameworks in place in four Southern European countries: Portugal, Spain, Italy, and Greece. A scoping review was conducted in order to revise and obtain an up-to-date review of current nursing education and quality. Then, a content evaluation of the legal public framework was conducted. A total of nine articles were included in the review. Data analysis evoked three main themes from the results: nursing education heterogeneity owing to ECTS increased from 180 to 240 for the diversity of clinical practice hours; the nursing framework lacked a definition; and the evolution of nursing education, alongside quality improvement and more accurate guidelines were required. Regarding their legal framework, the main directives and legislation standards were assessed and compared with the current curriculum. To conclude, nursing heterogeneity education evokes competence inequality among students and future professionals as larger curricular programs (240 ECTS) offer more clinical practice. Nursing education uniformity could enhance international mobility and promote knowledge exchange and nursing competence framework definitions. These are facts that certainly bring nursing empowerment. This study was not registered.

OBJECTIVE: A single valued neutrosophic set represented the uncertainty of real life situations in terms of membership [Formula: see text], indeterminacy [Formula: see text] and non-membership [Formula: see text] degree. However, this uncertainty cannot be limited to those three degrees; there is also an additional refusal degree. For this issue, the Turiyam set is an appropriate tool, which described the neutrosophic refusal degree of this situation as a liberal [Formula: see text] degree in addition to those three degrees. The graphical representation of this situation is required for knowledge processing. For this purpose, the Turiyam graph was introduced as an extension of the single valued neutrosophic graph. This graph is helpful when the depictions of the vertices or their relationships or both, are considered in terms of membership [Formula: see text], indeterminacy [Formula: see text], non-membership [Formula: see text] and liberal [Formula: see text] degrees. The goal of this paper is to introduce the degree, order and size in the context of Turiyam graphs and examine a social network (SN) with the help of this graph.
RESULTS: In this regard, the degree, order and size in the context of Turiyam graphs are studied. The feasibility of this Turiyam graph is shown by employing its concept in a social network (SN). Finally, the advantage of the Turiyam graph over the existing graph theories is recognized by viewing its better framework.

BACKGROUND: Among doctors in the United Kingdom, there is growing sentiment regarding delaying specialist training, emigrating to practice medicine abroad, or leaving the profession altogether. This trend may have substantial implications for the future of the profession in the United Kingdom. The extent to which this sentiment is also present in the medical student population is not well understood.
OBJECTIVE: Our primary outcome is to determine current medical students\' career intentions after graduation and upon completing the foundation program and to establish the motivations behind these intentions. Secondary outcomes include determining which, if any, demographic factors alter the propensity to pursue different career paths available to a medical graduate, determining which specialties medical students plan on pursuing, and understanding current views on the prospect of working in the National Health Service (NHS).
METHODS: The Ascertaining the Career Intentions of Medical Students (AIMS) study is a national, multi-institution, and cross-sectional study in which all medical students at all medical schools in the United Kingdom are eligible to participate. It was administered via a novel, mixed methods, and web-based questionnaire and disseminated through a collaborative network of approximately 200 students recruited for this purpose. Both quantitative and thematic analyses will be performed.
RESULTS: The study was launched nationally on January 16, 2023. Data collection was closed on March 27, 2023, and data analysis has commenced. The results are expected to be available later in the year.
CONCLUSIONS: Doctors\' career satisfaction within the NHS is a well-researched topic; however, there is a shortage of high-powered studies that are able to offer insight into medical students\' outlook on their future careers. It is anticipated that the results of this study will bring clarity to this issue. Identified areas of improvement in medical training or within the NHS could be targeted to improve doctors\' working conditions and help retain medical graduates. Results may also aid future workforce-planning efforts.
UNASSIGNED: DERR1-10.2196/45992.

Disorders of consciousness are impaired states of consciousness caused by severe brain injuries. Previous resting-state functional magnetic resonance imaging studies have reported abnormal brain network properties at different topological scales in patients with disorders of consciousness by using graph theoretical analysis. However, it is still unclear how inter-regional directed propagation activities affect the topological organization of functional brain networks in patients with disorders of consciousness. To reveal the altered topological organization in patients with disorders of consciousness, we constructed whole-brain directed functional networks by combining functional connectivity analysis and time delay estimation. Then we performed graph theoretical analysis based on the directed functional brain networks at three topological scales, from the nodal scale, the resting-state network scale to the global scale. Finally, the canonical correlation analysis was used to determine the correlations between altered topological properties and clinical scores in patients with disorders of consciousness. At the nodal scale, we observed decreased in-degree and increased out-degree in the precuneus in patients with disorders of consciousness. At the resting-state network scale, the patients with disorders of consciousness showed reorganized motif patterns within the default mode network and between the default mode network and other resting-state networks. At the global scale, we found a lower global clustering coefficient in the patients with disorders of consciousness than in the controls. The results of the canonical correlation analysis showed that the abnormal degree and the disrupted motif were significantly correlated with the clinical scores of the patients with disorders of consciousness. Our findings showed that consciousness impairment can be revealed by abnormal directed connection patterns at multiple topological scales in the whole brain, and the disrupted directed connection patterns may serve as clinical biomarkers to assess the dysfunction of patients with disorders of consciousness.

Diversifying science, technology, engineering, and mathematics (STEM) requires a critical examination of institutional structures at every educational level. In higher education, performance in core introductory courses required for STEM degrees is strongly associated with degree completion. Leveraging a multi-institutional database, we examine nearly 110,000 student records from six large, public, research-intensive universities in order to assess whether these introductory courses disproportionately weed out underrepresented minority (URM) students. We find that the association between low performance in an introductory STEM class and failure to obtain a STEM degree is stronger for URM students than for other students, even after controlling for academic preparation in high school and intent to obtain a STEM degree. To facilitate interpretation of our multivariate logistic regression model, and to highlight the dire situation in higher education, we also calculate predicted probabilities of STEM degree attainment for students of various demographics. The probability of obtaining a STEM degree for a STEM-intending white male student with average academic preparation who receives grades of C or better in all introductory courses is 48%. In contrast, for an otherwise similar URM female student, the probability is merely 35%. If these students receive less than a C in even one introductory STEM course, the probabilities drop to 33% and 21%, respectively.

Numerous experiments have proved that microRNAs (miRNAs) could be used as diagnostic biomarkers for many complex diseases. Thus, it is conceivable that predicting the unobserved associations between miRNAs and diseases is extremely significant for the medical field. Here, based on heterogeneous networks built on the information of known miRNA-disease associations, miRNA function similarity, disease semantic similarity, and Gaussian interaction profile kernel similarity for miRNAs and diseases, we developed a computing model of biased random walk with restart on multilayer heterogeneous networks for miRNA-disease association prediction (BRWRMHMDA) through enforcing degree-based biased random walk with restart (BRWR). Assessment results reflected that an AUC of 0.8310 was gained in local leave-one-out cross-validation (LOOCV), which proved the calculation algorithm\'s good performance. Besides, we carried out BRWRMHMDA to prioritize candidate miRNAs for esophageal neoplasms based on HMDD v2.0. We further prioritize candidate miRNAs for breast neoplasms based on HMDD v1.0. The local LOOCV results and performance analysis of the case study all showed that the proposed model has good and stable performance.

Workers in science, technology, engineering, and mathematics (STEM) are vital for regional and national prosperity. Not every person with STEM qualifications, however, finds employment in a STEM job. This article analyzes the geography of this matching between STEM degree holders and certain types of STEM occupations across large metropolitan labor markets in the United States. We find that although labor-market size has no effect, living in denser STEM labor markets elevates the probabilities of matching; having an advanced degree enhances this effect. Women are also far less likely to be matched than men; being black or Latino additionally lowers the chances of matching. Combining spatial effects with individual attributes increases probabilities of matching in places with high concentrations of STEM jobs for women, racial minorities, and the foreign born, but these advantages are often the same for white, native-born men. In denser STEM labor markets the job-matching advantage spans the labor pool, conferring no differential benefit for different population subgroups.