Yoxas/statistical_literacy huggingface dataset:
Novel approaches in higher education are needed to reverse underrepresentation of racial/ethnic groups in science, technology, engineering, mathematics, and medicine (STEMM). Building on theoretical frameworks for practice in diverse learning environments, this study provides evidence for Inclusive Science as a conceptual model that reflects initiatives intended to diversify biomedical research training for undergraduates. Using multiple case study design and cross-case analysis, we analyzed data from 10 higher education sites that were awarded the Building Infrastructure Leading to Diversity (BUILD) grant funded by the National Institutes of Health (NIH). We identified the following dimensions of the Inclusive Science model: promoting participation of diverse researchers; introducing diversity innovations in science and research curriculum; improving campus climate for diversity; providing tangible institutional support; creating partnerships with diverse communities; and integrating students' social identities with science identity. We illustrate each dimension of the model with examples of campus practices across BUILD sites. While many may doubt that science can be responsive to diversity, the interventions developed by these campuses illustrate how colleges and universities can actively engage in culturally responsive practices in STEMM undergraduate training that integrate trainees' identities, knowledge of diverse communities, and create a greater awareness of the climate for diversity that affects student training and outcomes. Implications include culturally responsive strategies that many more higher education institutions can employ to support scientific career training for historically excluded groups.
Nowadays social media usage has increased drastically among the stakeholders of higher educational institutions. The COVID-19 pandemic has suddenly increased the surge of social media users due to the forced implementation of online pedagogy and travel restrictions. The research study presented in this paper attempted to analyze social media usage in higher education. The data were collected from primary and secondary sources with the help of leading research databases, survey questionnaires, the Delphi method, and brainstorming sessions. Statistical tools and analytic techniques incorporated in the study included bibliometric analysis, word cloud, co-occurrence network, thematic map, thematic evolution, co-word analysis, country-wise analysis along with collaboration network, statistical survey, mind mapping, and analytic hierarchy process. The study justified the aspects of social media usage in the higher educational environment. It was found that the research fraternity around the globe focused more on understanding the aspects of social media and higher education during the trying times of the Coronavirus crisis. The maximum impact of social media usage on higher education was found to be from teaching-learning and discussions, and public relations and networking. It was also found that social networking platforms like WhatsApp, YouTube, Facebook (Meta), LinkedIn, Instagram, and Twitter were very common among the stakeholders of higher education. This study is of huge importance because it can help in paving the way to strategize remedial measures for increasing positivity and minimizing the negativity of social media usage in institutions of higher education across the world. The online version contains supplementary material available at 10.1007/s10209-023-00988-x.
Nowadays, the global medical tourism market size has grown quite rapidly, with a projected increase of 21.1% between 2021 and 2028. This study aimed to explore barriers and potential strategies for the development of medical tourism in Indonesia. A qualitative case study design was employed, where 8 respondents were selected using an expert sampling method from various groups according to the helix framework, including academics, government, professional organizations, the private sector, and the media. Data was collected through document analysis and in-depth interviews, and was analyzed manually using an inductive thematic content analysis approach. Limitations to the development of Indonesian medical tourism are related to regulations concerning medical tourism, the number of health services, distribution, supporting resources, public trust, and competition. At the institutional level, the challenges comprise services and products, hospital facilities, supporting facilities, and marketing processes. Furthermore, at the micro level, the low competency of both health and non-health workers persist as an obstacle. The potential strategy at the macro level include the development of robust marketing and branding strategies, health infrastructure, and resources. At the institutional level, it was necessary to develop related products and services provided, improve quality, and focus on branding and marketing strategies. Additionally, improving human resource skills was needed at the micro level.
Nowadays, there are hundreds of mobile applications related to sports, health and fitness. The benefits of using mobile phones in physical activity can be seen in the increasing use of mobile health applications. The purpose of this study was to design a behavioral model of acceptance and use of public health apps by Iranian users. The present study was a qualitative and exploratory approach that was conducted based on the theme analysis method (team). The statistical population included programmers and designers of sports programs and academic specialists in the field of sports and computers. Data collection was performed through review of documents, backgrounds and semi-structured interviews. The interviews were conducted in person or by telephone and each interview lasted about 20 to 40 minutes. In total, 249 key points with marker codes were extracted from 14 interviews which were classified into 21 sub-themes and 6 main themes (app quality, digital literacy, social influences, facilitating conditions, intention to use, trust and accept the app. Finally, the pattern of acceptance and use of health apps by Iranian users were presented in accordance with UTAUT theory. The results of this study can help the officials of the federation, public sports boards and clubs to use information and communication technology as a media in their strategies and programs to develop sports and health at the community level. It also contributes to social vitality and improves the quality of life of individuals.
Nowadays, there is a renewed interest in bone changes in experimental and clinical nephrology. However, the need for understanding the peculiarity of bone can be traced back to the 5th century BC, when Empedocles of Acragas put forward a theory of a world made of air, water, fire, and earth governed by love and hate. By observing the various body tissues, he strove to demonstrate that they consisted of 4 elements assembled with different mathematical ratios (logos). Blood is considered the most perfect tissue, because the ratio between elements is one. Bone is a very unusual tissue because it is made of 2 parts of earth, 2 parts of water, and 4 parts of fire. This kind of reasoning could be considered the first cry in the birth of quantitative chemistry.
Nowadays, there is an increase in attention to the college student's mental health, and to enhance the awareness related to college students' mental health, colleges and universities have executed an immense range of mental health publicity activities. In order to better combine deep learning with classroom teaching, this paper puts forward a deep learning algorithm formulated on convolutional neural networks. The purpose of this research is to investigate the development and use of a cultivation mechanism for mental health education of college students in campus culture creation from the perspective of deep learning. The study's primary goal is to comprehend college students' mental health training in campus culture creation. The study's objective is to develop experimental outcomes of college students utilizing mental health education courses as an optional or mandatory course. Finally, investigations related to college students' mental health from the current situation in China, the investigation, statistics and analysis related to the college students in China are carried out in this situation. The experimental results of this study show that 62 of the 156 schools and universities assessed provide courses on mental health education for college students that are both obligatory and optional. According to the students questionnaire survey, 86.7% of respondents believe that it is critical to establish mental health related educational courses, 61.9% believe that compulsory courses should be established, and students want to add group guidance or activities to the teaching process to improve their experience and participation.
Nuclei segmentation is a fundamental prerequisite in the digital pathology workflow. The development of automated methods for nuclei segmentation enables quantitative analysis of the wide existence and large variances in nuclei morphometry in histopathology images. However, manual annotation of tens of thousands of nuclei is tedious and time-consuming, which requires significant amount of human effort and domain-specific expertise. To alleviate this problem, in this paper, we propose a weakly-supervised nuclei segmentation method that only requires partial point labels of nuclei. Specifically, we propose a novel boundary mining framework for nuclei segmentation, named BoNuS, which simultaneously learns nuclei interior and boundary information from the point labels. To achieve this goal, we propose a novel boundary mining loss, which guides the model to learn the boundary information by exploring the pairwise pixel affinity in a multiple-instance learning manner. Then, we consider a more challenging problem, i.e., partial point label, where we propose a nuclei detection module with curriculum learning to detect the missing nuclei with prior morphological knowledge. The proposed method is validated on three public datasets, MoNuSeg, CPM, and CoNIC datasets. Experimental results demonstrate the superior performance of our method to the state-of-the-art weakly-supervised nuclei segmentation methods. Code: https://github.com/hust-linyi/bonus.
Nudging, a behavioral economics concept, subtly influences decision-making without coercion or limiting choice. Despite its frequent use, the specific application of nudging techniques by clinicians in shared decision-making (SDM) is understudied. Our aim was to analyze clinicians' use of nudging in a curated dataset of family care conferences in the PICU. Between 2019 and 2020, we retrospectively studied and coded 70 previously recorded care conference transcripts that involved physicians and families from 2015 to 2019. We focused on decision-making discussions examining instances of nudging, namely salience, framing, options, default, endowment, commission, omission, recommend, expert opinion, certainty, and social norms. Nudging instances were categorized by decision type, including tracheostomy, goals of care, or procedures. Single-center quaternary pediatric facility with general and cardiac ICUs. None. None. We assessed the pattern and frequency of nudges in each transcript. Sixty-three of the 70 transcripts contained SDM episodes. These episodes represented a total of 11 decision categories based on the subject matter of nudging instances, with 308 decision episodes across all transcripts (median [interquartile range] 5 [4-6] per conference). Tracheostomy was the most frequently discussed decision. A total of 1096 nudging instances were identified across the conferences, with 8 (6-10) nudge types per conference. The most frequent nudging strategy used was gain frame (203/1096 [18.5%]), followed by loss frame (150/1096 [13.7%]). Nudging is routinely employed by clinicians to guide decision-making, primarily through gain or loss framing. This retrospective analysis aids in understanding nudging in care conferences: it offers insight into potential risks and benefits of these techniques; it highlights ways in which their application has been used by caregivers; and it may be a resource for future trainee curriculum development.
Null hypothesis significance testing has received a great amount of attention in recent years in the light of the reproducibility crisis of science. Recently, there have been calls to retire the dichotomization of study results into "significant" or "not significant" depending on whether the P value crosses some threshold or not. Ways of improving the interpretation of P values and confidence intervals are therefore needed. We illustrate the use of P value functions, which display confidence limits and P values for any confidence level for a parameter. P value functions accessibly display a wealth of information: point estimate for the parameter, one-sided and two-sided confidence limits at any level, and one-sided and two-sided P values for any null and non-null value and the counternull value. Presenting several recent examples from the literature, we show how P value functions can be applied to present evidence and to make informed statistical inferences without resorting to dichotomization. We argue that P value functions are more informative than commonly used summaries of study results such as single P values or confidence intervals. P value functions require minimal retraining, are easily interpreted, and show potential to fix many of the common misinterpretation of P values and confidence intervals. To facilitate the adoption of P value functions, we released an R package for creating P value functions for several commonly used estimates.
Number processing abilities are important for academic and personal development. The course of initial specialization of ventral occipito-temporal cortex (vOTC) sensitivity to visual number processing is crucial for the acquisition of numeric and arithmetic skills. We examined the visual N1, the electrophysiological correlate of vOTC activation across five time points in kindergarten (T1, mean age 6.60 years), middle and end of first grade (T2, 7.38 years; T3, 7.68 years), second grade (T4, 8.28 years), and fifth grade (T5, 11.40 years). A combination of cross-sectional and longitudinal EEG data of a total of 62 children (35 female) at varying familial risk for dyslexia were available to form groups of 23, 22, 27, 27, and 42 participants for each of the five time points. The children performed a target detection task which included visual presentation of single digits (DIG), false fonts (FF), and letters (LET) to derive measures for coarse (DIG vs. FF) and fine (DIG vs. LET) digit sensitive processing across development. The N1 amplitude analyses indicated coarse and fine sensitivity characterized by a stronger N1 to digits than false fonts across all five time points, and stronger N1 to digits than letters at all but the second (T2) time point. In addition, lower arithmetic skills were associated with stronger coarse N1 digit sensitivity over the left hemisphere in second grade (T4), possibly reflecting allocation of more attentional resources or stronger reliance on the verbal system in children with poorer arithmetic skills. To summarize, our results show persistent visual N1 sensitivity to digits that is already present early on in pre-school and remains stable until fifth grade. This pattern of digit sensitivity development clearly differs from the relatively sharp rise and fall of the visual N1 sensitivity to words or letters between kindergarten and middle of elementary school and suggests unique developmental trajectories for visual processing of written characters that are relevant to numeracy and literacy.
Number symbols, such as Arabic numerals, are cultural inventions that have transformed human mathematical skills. Although their acquisition is at the core of early elementary education in children, it remains unknown how the neural representations of numerals emerge during that period. It is also unclear whether these relate to an ontogenetically earlier sense of approximate quantity. Here, we used multivariate fMRI adaptation coupled with within- and between-format machine learning to probe the cortical representations of Arabic numerals and approximate nonsymbolic quantity in 89 children either at the beginning (age 5) or four years into formal education (age 8). Although the cortical representations of both numerals and nonsymbolic quantities expanded from age 5 to age 8, these representations also segregated with learning and development. Specifically, a format-independent neural representation of quantity was found in the right parietal cortex, but only for 5-year-olds. These results are consistent with the so-called symbolic estrangement hypothesis, which argues that the relation between symbolic and nonsymbolic quantity weakens with exposure to formal mathematics in children.
Numeracy is an area of difficulty for children with Down syndrome (DS). It has been demonstrated that The Number Race, a non-commercial adaptive computer game designed to foster basic mathematical abilities, represents a promising instrument to enhance these skills in children with DS when delivered by an expert in a clinical setting. In the present study, we assessed the efficacy of The Number Race when administered at home by properly instructed and remotely supervised parents. Basic numerical skills were assessed before and after training, as well as at three-months follow-up. Performance of children with DS who worked at home with the parent (PG) was compared with that of children who received the training by an expert (EG). For both groups, the training lasted ten weeks, with two weekly sessions of 20-30 min. Results show that both groups improved across various measures of numerical proficiency, including the overall score of the numeracy assessment battery, while only the EG showed an improvement in a measure of mental calculation. The improvements were maintained three months after the end of the training. These findings confirm the efficacy of The Number Race and extend it to an home-based setting, whereby parents administer the training with external supervision.
Numeracy is an element of health literacy that refers to the ability to understand numerically related information. When applied to health behaviors, it describes the degree to which individuals have the capacity to access, process, interpret, and act on graphical and probabilistic health information. As a cognitive and functional skill, low numeracy correlates with poor outcomes in the management of chronic diseases; numeracy is therefore an essential component of patients' capacity to adhere to medication regimens. In this manuscript, we describe novel visual interventions to improve medication adherence in difficult, chronically ill populations. We have used personalized graphical representations of plasma medication concentration and dynamic disease state simulation to overcome poor numeracy. These methods incorporate efficient, precise, and clear graphical data; cartographical techniques focused on judicious use of color intensities; and animation that increases engagement and accentuates information transfer.
Numeracy is the branch of mathematics involved in understanding basic calculations, quantitation, estimation, reasoning, and execution of multistep operations. It is very imperative that pharmacists understand and apply numeracy skills in their routine work in the interest of their profession and patient care. This observational study was designed to assess the pharmacy student's perceptions of numeracy. A prospective observational study was conducted by the Department of Pharmacy, King Saud University, Kingdom of Saudi Arabia, between December 2021 and February 2022. All the enrolled subjects pursued a 5-year Pharma degree course at the university using a 9-item instrument, which accessed the perception of students toward numeracy. The data were analyzed using the statistical software statistical package for social science (SPSS) version 26.0 (SPSS Inc., Chicago, IL, USA). Chi-square and Fisher's exact test were used to derive an association between various parameters of the study subjects. A P-value of < 0.05 was taken as statistically significant. A total of 550 pharmacy students were approached in this study, out of which 21 (3.8%) students were excluded due to incompleteness of the responses; thereupon, 529 students were included in the study. We learned that almost 90.0% of students had excellent and/or good mathematical ability, but at the same time, they were frequent users of calculators. Most of the students endorsed the importance of numeracy and showed their interest in attaining more knowledge of numeracy. Similarly rating the perceptions of mathematical ability is significantly associated with the frequency of use of a calculator for calculations (p = 0.0001). Pharmacy students showed interest in numeracy and correspondingly showed excellent perceptions toward mathematical ability. Although the role of numeracy has been well accepted, inciting changes in teaching-learning practices through mathematically focused teaching approaches throughout the pharmacy program will increase its applicability in healthcare.
Numerical cognition can take place in multiple representational formats, such as Arabic digits (e.g., 1), verbal number words (e.g., "two"), and nonsymbolic (e.g., •••) numerical magnitude. Basic numerical discrimination abilities are key factors underlying the development of arithmetic abilities, acting as an important developmental precursor of adult-level numeracy. While prior research has begun to detail the neural correlates associated with basic numerical discrimination skills in different representational formats, the interactions between functional neural circuits are less understood. A growing body of evidence suggests that the functional networks recruited by number discrimination tasks differ between children and adults, which may provide valuable insights into the development of numerical cognition. To this end, we posed two questions: how do the interactions between functional circuits associated with number processing differ in children and adults? Are differences in functional network connectivity modulated by numerical representational codes? A theoretically motivated 22 ROI analysis indicated significant functional connectivity differences between children and adults across all three codes. Adults demonstrated sparser and more consistent connectivity patterns across codes, indicative of developmental domain-specialization for number processing. Although neural activity in children and adults is similar, the functional connectivity supporting number processing appears subject to substantial developmental maturation effects.