Yoxas/statistical_literacy huggingface dataset:
RNA-binding proteins (RBPs) are kinds of proteins with either singular or multiple RNA-binding domains (RBDs), and they can assembly into ribonucleic acid-protein complexes, which mediate transportation, editing, splicing, stabilization, translational efficiency, or epigenetic modifications of their binding RNA partners, and thereby modulate various physiological and pathological processes. CUG-BP, Elav-like family 1 (CELF1) is a member of the CELF family of RBPs with high affinity to the GU-rich elements in mRNA, and thus exerting control over critical processes including mRNA splicing, translation, and decay. Mounting studies support that CELF1 is correlated with occurrence, genesis and development and represents a potential therapeutical target for these malignant diseases. Herein, we present the structure and function of CELF1, outline its role and regulatory mechanisms in varieties of homeostasis and diseases, summarize the identified CELF1 regulators and their structure-activity relationships, and prospect the current challenges and their solutions during studies on CELF1 functions and corresponding drug discovery, which will facilitate the establishment of a targeted regulatory network for CELF1 in diseases and advance CELF1 as a potential drug target for disease therapy.
Road traffic accident (RTA) is the major cause of traumatic brain injury (TBI) in developing countries and affects mostly young adult population. This research aimed to describe the factors predicting functional outcome after TBI caused by RTA in a Malaysian setting. This was a retrospective cross-sectional study conducted on specialist medical reports written from 2009 to 2019, involving patients who survived after TBI from RTA. The functional outcome was assessed using the Glasgow Outcome Scale-Extended (GOSE). Factors associated with good outcome were analysed via logistic regression analysis. Multivariate logistic regression analysis was used to derive the best fitting Prediction Model and split-sample cross-validation was performed to develop a prediction model. A total of 1939 reports were evaluated. The mean age of the study participants was 32.4 ± 13.7 years. Most patients were male, less than 40, and with average post RTA of two years. Good outcome (GOSE score 7 & 8) was reported in 30.3% of the patients. Factors significantly affecting functional outcome include age, gender, ethnicity, marital status, education level, severity of brain injury, neurosurgical intervention, ICU admission, presence of inpatient complications, cognitive impairment, post-traumatic headache, post traumatic seizures, presence of significant behavioural issue; and residence post discharge (p<0.05). After adjusting for confounding factors, prediction model identified age less than 40, mild TBI, absence of post traumatic seizure, absence of behaviour issue, absence of cognitive impairment and independent living post TBI as significant predictors of good functional outcome post trauma. Discrimination of the model was acceptable (C-statistic, 0.67; p<0.001, 95% CI: 0.62-0.73). Good functional outcome following TBI due to RTA in this study population is comparable to other low to middle income countries but lower than high income countries. Factors influencing outcome such as seizure, cognitive and behavioural issues, and independent living post injury should be addressed early to achieve favourable long-term outcomes.
Road traffic accidents (RTAs) are among the most frequent negative life-events. About one in five RTA survivors is susceptible to posttraumatic stress disorder (PTSD). Knowledge about needs for, and usage of, mental health services (MHSs) may improve options for care for RTA victims. The current study aimed to assess rates of victims using different MHSs, including psychotherapy, pharmacotherapy and support groups, and to explore correlates of needs for and use of these MHSs. Further, we aimed to estimate the treatment gap in post-RTA care, defined as including people with probable PTSD who did not use MHSs and people wanting but not getting help from MHSs. Dutch victims of nonlethal RTAs (N = 259) completed self-report measures on needs for and use of MHSs and PTSD. Results showed that 26% of participants had utilized care from psychotherapy, pharmacotherapy or support groups. Among people with probable PTSD, this was 56%. Increased posttraumatic stress was the strongest correlate of MHS use. Forty-eight participants (17.8%) had an unmet care need and represented the treatment gap. Commonly reported reasons and barriers preventing MHS use were perceptions that problems were limited or would disappear without care and financial worries. Regarding possible future care, participants reported a preference for face-to-face (over online) help from a psychologist (over other professionals). The treatment gap for Dutch RTA victims may be limited. However, a significant number of RTA victims need care but do not obtain this care. Care options may be improved by reducing practical barriers to MHSs and increasing mental health literacy and acceptability of different forms of care (besides face-to-face care).
Road traffic accidents (RTAs) are among the top three global causes of death among people aged 15 to 44 years. More importantly, it is the main cause of death and permanent disability among young people aged 15 to 29 years. This study aimed to assess the magnitude of fatal traffic accidents and the factors associated with them in the North Shewa Zone, Central Ethiopia, from 2013 to 2018. An institution-based cross-sectional study was conducted in all registered RTAs from July 2013 to June 2018 that had full documentation. The data extraction tool was developed based on the daily RTA registration book format that was utilized. Data was entered into Epi-data version 3.1 and then exported to SPSS version 21 for analysis. Logistic regression analysis was used to assess the relationship between the factors and the fatality of RTA. P-values less than 0.05 were reported as statistically significant. Among 846 RTAs studied, 351 (41.5%) were found fatal, while 495 (58.5%) caused non-fatal injuries. Failure to give priority to pedestrians was 2.8 times (AOR = 2.8, 95% CI: 1.3, 5.9) more likely to cause fatal RTAs than drivers who failed to maintain distance between vehicles. Pedestrians were 2.7 times (AOR = 2.7, 95% CI: 1.1, 6.7) more likely to die in RTAs than drivers. The fatality of RTA was high. Failure to give priority to pedestrians and being a pedestrian were strong predictors of death. The North Shewa Zone Traffic Police Department and police officers should focus on enforcing traffic safety laws.
Road traffic crashes (RTCs) are significantly high in Nigeria with serious social and health consequences. While existing studies on RTCs have mainly focused on the effect of socio-economic, environmental, human and mechanical factors to address the high rates, the relationship between road transport fares and RTCs has been glossed over in literature. Thus, this study examines the influence of road transport fares and other covariates on RTCs. Data on RTCs and the predictors between 2017 and 2022 were obtained from the records of the National Bureau of Statistics and the Federal Road Safety Corps. Spatial statistical techniques were used for the data analysis. RTCs vary across the country, and Northern Nigeria is the hot spot. Results from the spatial analysis show that road transport fares, population density, and illiteracy rate are significant predictors of RTCs. The study recommends striking a balance between fare affordability, the quality of service provided, and the implementation of effective transportation strategies.
Robotic competitions are an excellent way to promote innovative solutions for the current industries' challenges and entrepreneurial spirit, acquire technical and transversal skills through active teaching, and promote this area to the public. In other words, since robotics is a multidisciplinary field, its competitions address several knowledge topics, especially in the STEM (Science, Technology, Engineering, and Mathematics) category, that are shared among the students and researchers, driving further technology and science. A new competition encompassed in the Portuguese Robotics Open was created according to the Industry 4.0 concept in the production chain. In this competition, RobotAtFactory 4.0, a shop floor, is used to mimic a fully automated industrial logistics warehouse and the challenges it brings. Autonomous Mobile Robots (AMRs) must be used to operate without supervision and perform the tasks that the warehouse requests. There are different types of boxes which dictate their partial and definitive destinations. In this reasoning, AMRs should identify each and transport them to their destinations. This paper describes an approach to the indoor localization system for the competition based on the Extended Kalman Filter (EKF) and ArUco markers. Different innovation methods for the obtained observations were tested and compared in the EKF. A real robot was designed and assembled to act as a test bed for the localization system's validation. Thus, the approach was validated in the real scenario using a factory floor with the official specifications provided by the competition organization.
Robotic surgery has become increasingly prevalent in general surgery practice. While previous studies have shown the safety and efficacy of robotic assistance in laparoscopic general surgery procedures, few studies have evaluated the temporal and regional trends in implementation. In our retrospective population-based study, we aim to evaluate the national trends in robotic surgery. National Inpatient Database (NIS 2009-2014) was used to identify adults who underwent robotic assisted surgery (ICD 9 codes 17.41 to 17.49). Robotic procedures related to seven abdominal organ systems were compared against the trends of Urology, Gynaecologic, and Orthopedic robotic procedures. Discharge weights were applied to calculate National temporal trends separated by hospital size, teaching status and US geographic region. 894,163 patients received a robotic assisted procedure between 2009 and 2014 with 64% increase in utilization. The largest percent change was witnessed in biliary robotic procedures with 2984% change in utilization, followed by hernia (1376%). Lowest percent change was witnessed in esophageal procedures with 114% increase. Medium sized hospitals had the largest change in robotic utilization (41%), with large institutions seeing 18% decrease. Gastric procedures were the most common robotic procedure performed at small institutions (7917 total cases; 316%). Large institutions saw an overall decrease in gastric (- 47%), esophageal (- 17%), small and large intestinal (-16%), and hepatic (- 7%) robotic procedures. Rural non-teaching hospitals saw the largest increase in robotic surgery (274%). Urban non-teaching hospitals saw a decrease of 29%. While urban teaching institutions saw a 20% and 6% increase in gynecological and urological procedures, an overall decrease was seen in esophageal (- 10%), gastric (- 12%), intestinal (- 11%), hepatic (- 17%), biliary (- 10%), pancreatic (- 11%) and hernia procedures (- 14%). Biliary procedures saw the largest increase in rural institutions (740 cases; 392%), followed by hernia (144% increase). South region of the nation had the largest increase in robotic procedures (23%). No change was seen in the use of robotic surgery in the northeast region with the midwest and west seeing an overall decrease (- 4% and - 22%, respectively). Our study highlights the increase in use of robotics for both general and specialty surgery, with an increase in utilization over time. Increased incidence of robotic surgery in smaller, rural institutions with overall decrease in larger, urban teaching hospitals suggests increasing comfort in robotic surgery in the community setting. Further studies are necessary to evaluate the factors associated with increased utilization in smaller institutions.
Robotic surgery in comparison to open and laparoscopic surgery allows better ergonomics, three-dimensional vision, and seven-degree freedom of movement. This ensures fast recovery, fewer postoperative complications, and safe oncological resections. Robotic surgery has revolutionized the field of colorectal surgery, providing surgeons with enhanced precision, dexterity, and visualization. To ensure safe and successful outcomes, surgeons must acquire competency and proficiency in robotic surgical techniques. Robotic simulation exercises have emerged as a valuable tool for training and skill development in robotic colorectal surgery. This research paper explores the importance and relationship between robotic simulation exercises and the acquisition of skills and competency required for carrying out safe colorectal surgery using a robotic platform. The authors discuss the benefits of virtual simulation-based training using the Da Vinci Xi skill simulator, and the evidence supporting its effectiveness in colorectal surgery. In this article, emphasis has been made on some important Da Vinci Xi skill simulator exercises for enhancing skills in robotic colorectal surgery.
Robotics education is important in training children's thinking, practical, and innovation abilities. It is significant to stimulate children's interest in learning and improve their learning quality. The existing research has not paid attention to the application of robotics education in children. It is necessary to stimulate children's interest in learning. This paper will take senior kindergarten students as the research object. It analyzes the application of the Vector Space Model (VSM) in robotics course development. The research and development of children's robotics courses incorporating Artificial Intelligence technology are based on the survey results of robotics courses offered by 38 kindergartens in Baoji City. An automatic document classification system based on VSM is designed to assist in compiling robotics teaching textbooks. Finally, the system performance is tested. The results show that about 24% of kindergartens offer robotics courses, and 76% do not. Besides, 70.14% of teachers support the establishment of children's robotics courses. The classification effect of the VSM system is better than that of Chinese documents. This system performs better than the automatic document classification system based on Term Frequency-Inverse Document Frequency. Its classification accuracy, recall, and F1 value are all above 85%. The development of the robotics course provides a better teaching environment for teaching young children about AI and robots. The robotics education discussed in this paper is a hot spot in the current curriculum reform and is of great significance to the development and innovation in early childhood education.
Robust monitoring and reporting systems for rabies are lacking thus increasing the risk of underreporting. Highlighting the rabies cases brings to bear the needed urgent attention for more efforts at preventing and controlling the disease. To describe the epidemiological characteristics of patients managed for clinical rabies at the largest referral facility in Ghana. A retrospective single-center hospital-based chart review and data extraction were conducted for persons managed for clinical rabies infection at the Korle-Bu Teaching Hospital from January 2008 to December 2019. Data analysis was done using STATA. Descriptive statistics were used to summarize the epidemiological and clinical characteristics. Fisher's exact test, the Kruskal-Wallis test, and Spearman's correlation coefficient were used to explore significant associations. A total of 28 cases were recorded over the period of review. All of them died and most (68%) of them were males. Twenty-one percent of them were less than 15 years old. Their median age interquartile range (IQR) was 31 years (25.5 years) and the median incubation period for rabies (IQR) was 60 days (60 days). The source of rabies for cases was mainly dog bites. The vaccination status of all the animals could not be ascertained. Majority (80%) of the patients took neither anti-rabies vaccine nor immunoglobulin as post-exposure prophylaxis after the dog bite. The median time of admission before death (interquartile range) was 2 days (2 days). Majority (82%) of the cases were furious rabies. Attention should be directed at mass vaccination of dogs as dog bites are common. Ensuring availability and access to post-exposure prophylaxis (PEP) is also critical in averting rabies-related deaths.
Rolandic epilepsy (RE), also called benign epilepsy with centrotemporal spikes (BECTS) is the most common childhood epilepsy syndrome. RE is associated with cognitive difficulties, which can affect children's quality of life. The underlying causes of these cognitive impairments are unclear. The objective of this prospective study is to investigate sub-cortical morphological alterations in RE children with left, right, or bilateral hemispheric focus and its association with cognition. Participants include 41 children with rolandic epilepsy and 38 healthy controls (age 8-14 years), recruited from CHU Sainte-Justine Montreal Children Hospital (N=40) and Basel's Children Hospital (N=39). Quantitative volumetric assessment of putamen and caudate structures was performed on T1-weighted MR scans along with the morphological analysis to test for differences between patients and controls. These analyses were performed considering the side of epilepsy focus in all participants. Correlations were investigated between the sub-cortical morphometry and cognitive indices such as intelligence quotient (IQ), verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI). Children with bilateral BECTS showed statistically significant volume reduction in right caudate (p<.05), while no statistically significant putamen volumetric changes were detected in BECTS participants compared to normal controls. According to a spectral-based groupwise shape analysis, regional alterations were found in both putamen and caudate structures of children with BECTS. In particular, children with left BECTS showed significant outward local deformity in left putamen and individuals with bilateral BECTS showed inward local group differences in both right putamen and right caudate. The correlation assessment showed positive association between the volume of the left caudate and cognitive indices in the group containing all BECTS participants. Negative correlation was found between putamen sub-regional shape alterations and cognition in individuals with right BECTS and in all BECTS participants. Negative associations between caudate sub-regional morphologies and cognitive indices were detected in left cohort. We have confirmed putamen and caudate shape alterations in children with BECTS. However, our results further suggest that variations in sub-cortical shape affect cognitive functions. Importantly, we have demonstrated that shape alterations and their relation with cognition depend on the side of epilepsy focus. Our results point to different syndromic entities in the BECTS population.
Role modelling has powerful impact in medical education, with the potential to shape the professional development, clinical skills and career choices of the medical workforce. In this article we provide twelve tips, some aimed at educators and some at curriculum leaders, to increase the positive potential of role modelling. Our tips are based on theory, evidence, our own research and experience. They include ensuring educators are conscious of their role modelling potential, providing role models to represent the diversity of learners, facilitating reflection in the role modelling process and supporting role modelling to improve recruitment to shortage specialties.
Role models are powerful contributors to residents' professional identity formation (PIF) by exhibiting the values and attributes of the community. While substantial knowledge on different attributes of role models exists, little is known about their influence on residents' PIF. The aim of this study was to explore surgical residents' experiences with role models and to understand how these contribute to residents' PIF. Adopting a social constructivist paradigm, the authors used a grounded theory approach to develop an explanatory model for residents' experiences with role models regarding PIF. Fourteen surgical residents participated in individual interviews. The authors iteratively performed data collection and analysis, and applied constant comparison to identify relevant themes. Role model behavior is highly situation dependent. Therefore, residents learn through specific 'role model moments'. These moments arise when residents (1) feel positive about a moment, e.g. "inspiration", (2) have a sense of involvement, and (3) identify with their role model. Negative role model moments ('troll model moments') are dominated by negative emotions and residents reject the modeled behavior. Residents learn through observation, reflection and adapting modeled behavior. As a result, residents negotiate their values, strengthen attributes, and learn to make choices on the individual path of becoming a surgeon. The authors suggest a nuance in the discussion on role modelling: from 'learning from role models' to 'learning from role model moments'. It is expected that residents' PIF will benefit from this approach since contextual factors and individual needs are emphasized. Residents need to develop antennae for both role model moments and troll model moments and acquire the skills to learn from them. Role model moments and troll model moments are strong catalysts of PIF as residents follow in the footsteps of their role models, yet learn to go their own way.
Roma living in marginalized communities often face poor living conditions and material deprivation, which may negatively impact parenting. Our aim is to compare the parenting behavior (support, harsh discipline, and stimulation) of mothers from marginalized Roma communities and the majority population in Slovakia. We also examine the role of socioeconomic disadvantage and related worries in the differences in parenting behavior between these groups. We obtained cross-sectional data from mothers of children aged 14-18 months using the first wave of the longitudinal RomaREACH study dataset. Two groups were included in the sample: 93 mothers from MRCs and 102 mothers from the majority. We performed multiple regression and mediation analyses to assess whether the educational level of mothers, the degree of poverty, and poverty-related feelings of stress and worries explain parenting behavior differences between the groups of mothers. We found significant differences in parenting, especially in harsh disciplining and stimulation. These two domains were significantly associated with maternal education, degree of poverty, and poverty-related stress and worries. The degree of poverty partially mediated stimulation differences between the two groups of mothers. Parenting in MRCs seems harsher and less stimulative than parenting in the Slovak majority. These differences are associated with the socioeconomic disadvantage of mothers. The degree of poverty partially explains why parenting in MRCs is less stimulative. These results may inform intervention efforts aimed at disadvantaged families.