Yoxas/statistical_literacy huggingface dataset:
The spatial differentiation of land use induces traffic demand and guides the construction of traffic supply; traffic conditions are an important influencing factor in determining the nature of land use, and there is a close interaction between the two. This study uses a neural network-based approach at the urban grid level to portray representative phenomena of urban development and analyze the interaction between transportation and land use. The results reflect the model's effective simulation of urban laws, and the case study reveals the differences in the laws of different cities, to guide the benign development of cities and transportation. This article firstly conducts a study on the theoretical foundation; compares the development history, planning, and design methods and practical experience of road planning and resilient planning; summarizes the experience of resilient road system design; and analyzes the future development trend, based on the above basic theoretical research, to develop research ideas and methods. Secondly, the scenario analysis method is explicitly applied to analyze various scenarios that may occur in the future development process of simulated urban roads and rank the scenarios based on the probability of occurrence. For the impact of traffic on land use, the concepts of vitality and potential are introduced, and a multidimensional long and short-term memory network (MDLSTM) model is established. The model takes into account land use lags and potential transfer and has relatively higher prediction accuracy. The results show that larger cities with urban dominant industries and tertiary industries also have higher land use potential and the more significantly influenced by traffic.
The spatial photonic Ising machine (SPIM) [13D. Pierangeli et al., Large-Scale Photonic Ising Machine by Spatial Light Modulation, Phys. Rev. Lett. 122, 213902 (2019).PRLTAO0031-900710.1103/PhysRevLett.122.213902] is a promising optical architecture utilizing spatial light modulation for solving large-scale combinatorial optimization problems efficiently. The primitive version of the SPIM, however, can accommodate Ising problems with only rank-one interaction matrices. In this Letter, we propose a new computing model for the SPIM that can accommodate any Ising problem without changing its optical implementation. The proposed model is particularly efficient for Ising problems with low-rank interaction matrices, such as knapsack problems. Moreover, it acquires the learning ability of Boltzmann machines. We demonstrate that learning, classification, and sampling of the MNIST handwritten digit images are achieved efficiently using the model with low-rank interactions. Thus, the proposed model exhibits higher practical applicability to various problems of combinatorial optimization and statistical learning, without losing the scalability inherent in the SPIM architecture.
The Special Issue with the title "Recent Advances in Mathematics Education" presents contemporary research outcomes regarding the teaching and learning of Mathematics at all levels of Education [...].
The spiking activity of mitral cells (MC) in the olfactory bulb is a key attribute in olfactory sensory information processing to downstream cortical areas. A more detailed understanding of the modulation of MC spike statistics could shed light on mechanistic studies of olfactory bulb circuits and olfactory coding. We study the spike response of a recently developed single-compartment biophysical MC model containing seven known ionic currents and calcium dynamics subject to constant current input with background white noise. We observe rich spiking dynamics even with constant current input, including multimodal peaks in the interspike interval distribution (ISI). Although weak-to-moderate background noise for a fixed current input does not change the firing rate much, the spike dynamics can change dramatically, exhibiting non-monotonic spike variability not commonly observed in standard neuron models. We explain these dynamics with a phenomenological model of the ISI probability density function. Our study clarifies some of the complexities of MC spiking dynamics.
The spread of multidrug-resistant organisms (MDROs) has resulted in a corresponding increase in the incidence of urinary tract infections (UTIs). The risk factors and hospitalization burden for community-acquired MDRO-associated UTIs are discussed herein. This retrospective study included 278 patients with community-based MDRO-associated UTIs from January 2020 to January 2022. The MDRO (n = 139) and non-MDRO groups (n = 139) were separated based on drug susceptibility results. Community-based MDRO-associated UTIs mainly occurred in the elderly and frail patients with a history of invasive urinary tract procedures. The MDRO group imposed a greater economic burden compared to the non-MDRO group. Independent risk factors for community-based MDRO-associated UTIs were as follows: white blood cell (WBC) count > 10.0 × 109/L (OR = 2.316, 95% CI = 1.316-3.252; P = .018); ≥3 kinds of urinary tract obstructive diseases (OR = 1.720, 95% CI = 1.004-2.947; P = .048); use of 3rd generation cephalosporins (OR = 2.316, 95% CI = 1.316-4.076; P = .004); and a history of invasive urologic procedures (OR = 2.652, 95% CI = 1.567-4.487; P < .001). Days of hospitalization, antibiotic use, and bladder catheter use were significantly greater in the MDRO group than the non-MDRO group (P < .05).
The spread of the severe acute respiratory syndrome coronavirus 2 outbreak worldwide has caused concern regarding the mortality rate caused by the infection. The determinants of mortality on a global scale cannot be fully understood due to lack of information. To identify key factors that may explain the variability in case lethality across countries. We identified 21 Potential risk factors for coronavirus disease 2019 (COVID-19) case fatality rate for all the countries with available data. We examined univariate relationships of each variable with case fatality rate (CFR), and all independent variables to identify candidate variables for our final multiple model. Multiple regression analysis technique was used to assess the strength of relationship. The mean of COVID-19 mortality was 1.52 ± 1.72%. There was a statistically significant inverse correlation between health expenditure, and number of computed tomography scanners per 1 million with CFR, and significant direct correlation was found between literacy, and air pollution with CFR. This final model can predict approximately 97% of the changes in CFR. The current study recommends some new predictors explaining affect mortality rate. Thus, it could help decision-makers develop health policies to fight COVID-19.
The standard toxicity tools adopted for assessing Radiation Induced Skin Reactions (RISR) do not currently reflect how skin changes occur across all skin tones. A one size fits all approach is adopted currently for RISR assessment. The aim of this study was to understand what evidence-based practice and RISR tools are being used across the therapeutic radiography workforce and the levels of confidence in using these tools. A survey using Likert scales to assess confidence in RISR assessment and management was made available to 77 departments in the UK between August-November 2021. Descriptive statistics were used to understand respondents' confidence in assessing, managing, and teaching RISR between white, brown, and black skin tones; Fisher's exact test was used to assess the significance of differences between groups. Complete responses were received from 406 therapeutic radiographers. Radiation Therapy Oncology Group (RTOG) was the most used RISR assessment tool (58% of respondents n = 237). Most respondents (74.2% n = 303) reported use of locally produced patient information on skin care, rather than the Society and College of Radiographers evidence-based patient leaflets. Confidence in assessing and managing RISR in white skin was higher than that in brown and black skin. Similarly, confidence was higher in teaching of appropriate RISR assessment and management in white skin tones when compared to brown and black skin. White skin tones appear to be more confidently assessed and managed for RISR along with taught appropriate assessment and management, than brown and black skin tones in the sample of the workforce that responded. A greater understanding of the reasons for these differences is required but this study aims to instigate change and positive growth within this area.
The statistical analysis typically employed to compare pain both before and after interventions assumes scores are normally distributed. The present study evaluates whether Numeric Rating Scale (NRS), specifically the NRS-11, scores are indeed normally distributed in a clinically-relevant cohort of adults with chronic axial spine pain pre- and post-analgesic intervention. Retrospective review from four academic medical centers of prospectively collected data from a uniform pain diary administered to consecutive patients after undergoing medial branch blocks. The pain diary assessed NRS-11 scores immediately pre-injection and at 12 different time points post-injection up to 48 hours. D'Agostino-Pearson tests were used to test normality at all time points. One hundred fifty pain diaries were reviewed and despite normally distributed pre-injection NRS-11 scores (K2 = 0.655, p = 0.72), all post-injection NRS-11 data was not normally distributed (K2 = 9.70- 17.62, p = 0.0001-0.008). Although the results of parametric analyses of NRS-11 scores are commonly reported in pain research, some properties of NRS-11 do not satisfy the assumptions required for these analyses. The data demonstrate non-normal distributions in post-intervention NRS-11 scores, thereby violating a key requisite for parametric analysis. We urge pain researchers to consider appropriate statistical analysis and reporting for non-normally distributed NRS-11 scores to ensure accurate interpretation and communication of these data. Practicing pain physicians should similarly recognize that parametric post-intervention pain score statistics may not accurately describe the data and should expect manuscripts to utilize measures of normality to justify the selected statistical methods.
The status of prostate-specific antigen (PSA) screening is unclear in China. Evidence regarding the optimal frequency and interval of serial screening for prostate cancer (PCa) is disputable. This study aimed to depict the status of PSA screening and to explore the optimal screening frequency for PCa in China. A 13-year prospective cohort study was conducted using the Chinese Electronic Health Records Research in Yinzhou study's data set. A total of 420,941 male participants aged ≥45 years were included between January 2009 and June 2022. Diagnosis of PCa, cancer-specific death, and all-cause death were obtained from the electronic health records and vital statistic system. Hazard ratios (HRs) with 95% CIs were estimated using Cox regression analysis. The cumulative rate of ever PSA testing was 17.9% with an average annual percent change (AAPC) of 8.7% (95% CI 3.6%-14.0%) in the past decade in China. People with an older age, a higher BMI, higher waist circumference, tobacco smoking and alcohol drinking behaviors, higher level of physical activity, medication use, and comorbidities were more likely to receive PSA screening, whereas those with a lower education level and a widowed status were less likely to receive the test. People receiving serial screening ≥3 times were at a 67% higher risk of PCa detection (HR 1.67; 95% CI 1.48-1.88) but a 64% lower risk of PCa-specific mortality (HR 0.36; 95% CI 0.18-0.70) and a 28% lower risk of overall mortality (HR 0.72; 95% CI 0.67-0.77). People following a serial screening strategy at least once every 4 years were at a 25% higher risk of PCa detection (HR 1.25; 95% CI 1.13-1.36) but 70% (HR 0.30; 95% CI 0.16-0.57) and 23% (HR 0.77; 95% CI 0.73-0.82) lower risks of PCa-specific and all-cause mortality, respectively. This study reveals a low coverage of PSA screening in China and provides the first evidence of its benefits in the general Chinese population. The findings of this study indicate that receiving serial screening at least once every 4 years is beneficial for overall and PCa-specific survival. Further studies based on a nationwide population and with long-term follow-up are warranted to identify the optimal screening interval in China.
The STEAM education involves children's ability to integrate and apply their knowledge of science, technology, engineering, arts, and mathematics. The application and transfer of interdisciplinary knowledge in practical activities is the structure of STEAM education. This study assesses children's practical drawing skills and transferable skills based on the global features of their realistic figure drawing. The drawings incorporate the visual information and the multidisciplinary knowledge that children acquire. The assessment variables of the global features are observation perspectives, baseline, and comparison. The results showed that most children present their works through the front view. The children of different age groups show differences in express baseline and comparison features. Boys and girls show some variances in baseline features. Moreover, children are relatively unskilled at applying interdisciplinary knowledge in their drawings.
The stigmatization around sexual health due to culture, religious traditions, and norms leads to myths and a lack of available information and resources related to universal access to sexual and reproductive health services. Additional sexual health education not being part of the Kenya school curriculum leads to insufficient access to knowledge about safe contraception, menstruation, and female genital mutilation. A digital app could support and provide education and information for universal equal access, addressing United Nations Sustainable Development Goals 3, 4, and 5. The study targeted the requirements for establishing a reusable framework to develop a successful accessible web-based sexual health education app and the behavioral intention to use it to obtain sexual health information by mainly young women in Kenya. The double diamond model, with a problem room including the discover and define phases, enriched with cultural aspects and modeled to a self-expanded intercultural research model was used in a user-centered design thinking approach to develop a framework for requirements engineering analysis. For problem identification, semistructured pilot phase interviews based on Consolidated Criteria for Reporting Qualitative Research guidelines were conducted, followed by expert interviews for qualitative content analysis. A sample size of 12 pilot phase interviews and 5 expert interviews was determined using data saturation. The responses were coded and analyzed according to the affinity mapping method. The requirements engineering analysis showed potential enablers of and barriers to the use of a digital sexual health education app. Through this qualitative study, a conservative cultural background, classic text communication, and the influence of social affiliation within society were identified as barriers, which should be enhanced through visual and auditory channels as well as a fictional character in the app. The developed intercultural research model provides an impetus to providing digital sexual health education, integrating culture-specific aspects in the design process, while focusing on cultural and religious stigmata. The reusable framework enables identifying and overcoming hurdles in providing information about taboo and intimate topics. The overall use of online education tools focusing on intimate topics is correlated with accessibility and understanding specific cultural needs while delivering content on a basic and comprehensive level. It helps the target user from a social conservative background and in resource-poor circumstances to benefit from a digital educational solution.
The storage of patient records in electronic media is one of the most outstanding developments of the 21st century. This transformation in health required the teaching staff and students in nursing to adapt to this change. To determine nurse educators' and students' views and experiences about electronic patient records. A multiple-method approach was used in the study. The research sample consisted of 133 nurse educators and 366 nursing students from three public and three non-profit private universities in Ankara during the fall term of the 2019-2020 academic year. In the quantitative stage, data were collected with a data collection form prepared by the researcher. Data were obtained via semi-structured interviews with 14 nurse educators and 14 students at the qualitative stage. Descriptive statistics (number, percentage) were used to analyze quantitative data, and the content analysis method was used to analyze the qualitative data. 91 % of the nurse educators and 96.4 % of the students stated that they learned about electronic patient records through observation in a clinical setting. >70 % of the participants noted that including subject matters about electronic patient records in the nursing curriculum would be beneficial. In the qualitative phase, most nurse educators and students (n > 9) reported that they could not access the system because they did not have credentials. They stated that their experiences depended on the current users and were limited to observation; therefore, regulations regarding access to electronic patient records should be made. The views and experiences of the nurse educators and students about the electronic medical record system were limited to getting help from observing clinical nurses since they could not be registered users in the system. Therefore, it is recommended to expand the teaching related to electronic patient records in the nursing education program, develop educational software, and make arrangements to provide access to electronic data during clinical applications.
The story of John Farrar (1779-1853) and Eliza Ware Rotch (1791-1870) is neither a tale about a female mathematician nor one of the "making" of a mathematical career. Rather, the productivity of John, who is known to historians of American mathematics for the Harvard College series of mathematics and natural philosophy textbooks that bears his name, had already begun to decline by the time he married Eliza in 1828. She then embarked on her own career of adapting novels and biographies for children and writing self-improvement manuals. Despite their joint efforts to continue writing and to preserve their social and professional connections, the activities of both John and Eliza were effectively brought to an end by the decades John spent fully incapacitated by illness. An exploration of how their marriage was interwoven with their careers adds details to their biographies and suggests connections to the historical analysis of dual-career marriages and to examinations of how such unions can be impacted by the poor health of one or both partners.
The stress level of nurses, especially frontline staff, directly impacts their physical and mental health as well as work efficiency. However, few studies have been conducted to understand the stress level of nurses related to the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study is to assess the level of perceived stress among nurses at a tertiary care teaching hospital (King Abdulaziz University Hospital, Jeddah) in Saudi Arabia during the COVID-19 pandemic. A cross-sectional survey-based descriptive study involved 1044 nurses working at a tertiary care/teaching hospital in Saudi Arabia. The Perceived Stress Scale (PSS) was used to assess nurses' stress levels. The study was conducted in July 2021 by selecting clinical nurses from different nursing units. Considering the current situation of social isolation, an online cross-sectional survey using Google Forms was used. Data analysis was performed using IBM SPSS Statistics for Windows, Version 21 (Released 2012; IBM Corp., Armonk, New York, United States). Out of 1044 nursing professionals, 93 (8.9%) reported experiencing low levels of stress, 915 (87.6%) reported moderate levels of stress, and 36 (3.4%) reported high perceived stress during the COVID-19 pandemic. The study found that gender (p=0.001) and nationality (p=0.016) had significant effects on stress levels. The three major causes of stress identified by the nurses were workload, lack of resources, and fear of contracting COVID-19. Job-related stress continues to be an issue in the nursing workforce. The effects of stress experienced by nurses impact job satisfaction and retention, which, in turn, can affect the quality of patient care. This study highlights that nurses in a tertiary care (COVID care) teaching hospital in our setting often experience stress and anxiety during the pandemic. It is worth noting that this is the first study conducted to understand the level of stress perceived by nursing staff during the COVID-19 pandemic in our current study setting. The findings indicate that a considerable number of nurses experienced moderate levels of stress during COVID-19, which can have implications for patient care. Recognizing and understanding the job-related stressors of nurses can help nurse leaders implement more effective strategies aimed at reducing nurses' stress and subsequently improving patient outcomes.
The structured transition of adolescents and young adults with chronic kidney disease (CKD) from pediatric to adult care is important, but data on the time and resources required for the necessary components of the transition process and the associated costs are lacking. In a prospective single-center cohort study of 52 patients with pre-transplant CKD (CKD stage 1, n = 10; stage 2, n = 6; stage 3, n = 5; stage 4 and 5, 1 patient each) or kidney transplant recipients (KTR), resource use and costs were evaluated for the key elements of a structured transition pathway, including (i) assessment of patients' disease-related knowledge and needs, (ii) required education and counseling sessions, and (iii) compiling an epicrisis and a transfer appointment of the patient with the current pediatric and the future adult nephrologist. Forty-four of 52 enrolled patients (84.6%) completed the transition pathway and were transferred to adult care. The mean time from the decision to start the transition process until the final transfer consultation was 514 ± 204 days. The process was significantly longer for KTR (624 ± 150 [range, 307-819] days) than for patients with pre-transplant CKD (365 ± 172 [range, 1-693] days; P < 0.0001). The cumulative costs of all counseling and education sessions performed including the transfer appointment were 763 ± 473 Euro; it was significantly higher in KTR (966 ± 457 Euro) than in patients with pre-transplant CKD (470 ± 320 Euro; P < 0.0001). A structured transition pathway for patients with CKD is resource and time-consuming due to the complexity of the disease and should be sufficiently funded. A higher-resolution version of the Graphical abstract is available as Supplementary information.