Level Of Experience Research Articles

Implementasi Intelejen Bisnis dengan Visualisasi Data Gaji dan Algoritma Linear Regresion

To understand these employment dynamics, it is important to explore how long Data Scientists typically work in this field and what sectors they are more likely to be involved in. This information is very important for companies looking to recruit Data Scientists or determine the average salary of their employees. With this activity, managers can more clearly know the employee's salary range based on their work experience and area of specialization. This gives managers a more precise tool for assessing compensation appropriate to the level of experience and expertise possessed by employees. Nowadays, the concept of Business Intelligence can be applied by all industrial sectors, as long as the industry has a database system to develop its business. Business Intelligence processes and analyzes large amounts of raw data and then displays it in a business report with interactive visuals, namely a dashboard. This research aims to contribute to the understanding of average salary predictions and provide valuable information for business owners to make informed decisions. The results show that linear regression is accurate and forms a linear regression model with an R-square result of 0.263429. The salary prediction calculation process is carried out by considering influencing factors, and the results are then presented visually using Power BI to provide business owners with more interactive information.

Comparison of the Diagnosis and Treatment of Nasal Bone Fracture by Physicians in China With Different Levels of Experience.

This study aimed to investigate the conflicts in the diagnosis and treatment of nasal bone fracture by Chinese otolaryngologists to improve the diagnosis and treatment accuracy of junior otolaryngologists and emergency physicians. A questionnaire was designed and filled out by otolaryngologists in large general hospitals. The questions included how to choose an auxiliary examination to diagnose nasal bone fracture, whether tamponade is required after closed reduction, the selection of packing materials, the timing of an operation, and the evaluation of postoperative effect. The questionnaire results were divided into 3 groups according to the experience levels of experienced of physicians. A total of 151 otolaryngologists with different levels of experience from 26 provinces in China completed the questionnaire. 90.73% of physicians thought that nasal bone computed tomography was the most important auxiliary examination to diagnose a nasal bone fracture. 52.32% of them compared photos before and after the operation to evaluate postoperative effects. About 53% of physicians thought that 7 to 10 days after reducing local swelling is the optimal time for closed reduction. There is no obvious difference in the diagnosis and treatment of nasal bone fracture among otolaryngologists with different levels of experience in Chinese otolaryngologists with different levels. Most physicians choose nasal bone computed tomography for diagnosis, perform surgery at 7 to 10 days after injury, and compare photos from before and after the operation to evaluate the postoperative effect.

Application of citizen science with the nationwide bird census

Citizen science (CS) is the most effective tool for overcoming the limitations of government and/or professional data collection. To compensate for quantitative limitations of the 'Winter Waterbird Census of Korea', we conducted a total of four bird monitoring via CS from 2021 to 2022. To use CS data alongside national data, we studied CS data quality and improvement utilizing (1) digit-based analysis using Benford’s law and (2) comparative analysis with national data. In addition, we performed bird community analysis using CS-specific data, demonstrating the necessity of CS. Neither CS nor the national data adhered to Benford's law. Alpha diversity (number of species and Shannon index) was lower, and total beta diversity was higher for the CS data than national data. Regarding the observed bird community, the number of species per family was similar; however, the number of individuals per family/species differed. We also identified the necessity of CS by confirming the possibility of predicting bird communities using CS-specific data. CS was influenced by various factors, including the perceptions of the survey participants and their level of experience. Therefore, conducting CS after systematic training can facilitate the collection of higher-quality data

Patient Experience and Nurse Staffing Level in South Korea.

Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance (NHI) in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1,000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7,250 patients from 42 tertiary hospitals and 16,235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the NHI to adjust reimbursement to hospitals. Multi-level ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of "Always" to the question "How often did nurses treat you with courtesy and respect?" was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.

Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.

Rectal tumors display varying degrees of response to total neoadjuvant therapy (TNT). We evaluated the performance of a convolutional neural network (CNN) in interpreting endoscopic images of either a non-complete response to TNT or local regrowth during watch-and-wait surveillance. Endoscopic images from stage II/III rectal cancers treated with TNT from 2012 to 2020 at a single institution were retrospectively reviewed. Images were labelled as Tumor or No Tumor based on endoscopy timing (before, during, or after treatment) and the tumor's endoluminal response. A CNN was trained using ResNet-50 architecture. The area under the curve (AUC) was analyzed during training and for two test sets. The main test set included images of tumors treated with TNT. The other contained images of local regrowth. The model's performance was compared to sixteen surgeons and surgical trainees who evaluated 119 images for evidence of tumor. Fleiss' kappa was calculated by respondent experience level. A total of 2717 images from 288 patients were included; 1407 (51.8%) contained tumor. The AUC was 0.99, 0.98, and 0.92 for training, main test, and local regrowth test sets. The model performed on par with surgeons of all experience levels for the main test set. Interobserver agreement was good ( = 0.71-0.81). All groups outperformed the model in identifying tumor from images of local regrowth. Interobserver agreement was fair to moderate ( = 0.24-0.52). A highly accurate CNN matched the performance of colorectal surgeons in identifying a noncomplete response to TNT. However, the model demonstrated suboptimal accuracy when analyzing images of local regrowth.

The Rate of Return on Education Investment in South Sumatra Province: An Analysis

This research was conducted to determine the rate of return on education investment for workers in South Sumatra Province. The data used was obtained from the SAKERNAS for February 2022 provided by BPS and consisted of 2965 selected samples. The analyzed data includes the workers’ wages, education level, work experience, gender, economic sector they belong to, and regional category. The results of this study suggest that the level of education, work experience, gender, economic sector, and regional category collectively influence the amount of wages received by the workers. Changes in wages can be attributed to the variables of education level, work experience, gender, economic sector, and regional category, accounting for 19.5% of the observed variance. The remaining 80.5% of the variance is attributed to other variables not considered in this study. Furthermore, the findings indicate that the rate of return on education investment is expected to increase in 2022, corresponding with higher levels of education among the workers. Keywords: return on education investment, education, experience, gender, economic sector, region

Navigating socio‐emotional risk through comfort‐building in physics teacher professional development: A case study

AbstractIn teacher professional development (PD), grouping teachers with varying levels of experience can be a productive and empowering way to stimulate the exchange and co‐generation of content and pedagogical knowledge. However, less experienced teachers can face socio‐emotional risks when engaging in collaborative science content reasoning tasks with more experienced colleagues, and these risks may impact the collaborative experience of both parties and the learning environment in teacher PD. This exploratory case study examines the process of productively navigating socio‐emotional risks and interpersonal tensions encountered by a veteran and pre‐service physics teacher during one episode of discussing physics content. We use a single term, comfort‐building, to encapsulate discursive moves that result in increased feelings of comfort and safety by the participants. Comfort‐building includes moves that serve to mitigate social risk, ease tension, and avoid discomfort, as well as those geared toward finding common ground and co‐navigating challenges. These moves can carve out conversational space for teachers to more confidently face risks associated with being accountable to the physics content knowledge and engage in discipline‐based conversations more deeply. The presented case was followed by video‐stimulated individual interviews to determine how consciously the teachers connected their participation to explicit risk and comfort. This case study highlights an affective dimension for consideration in the continued study and facilitation of science teacher PD, especially programs that bring together teachers with a variety of backgrounds and skill sets.

Enhanced Design of a Tai Chi Teaching Assistance System Integrating DTW Algorithm and SVM

Physical education using technology has enabled traditional practices like Tai Chi, a martial art known for its multiple health benefits and meditative aspects, to set coordinated goals. This research presents an intelligent Tai Chi Teaching Assistance System supported by the integration of the Dynamic Time Warping algorithm and Support Vector Machine, in which can practitioners providing real-time feedback to improve Tai Chi learning and quality. In the system, the DTWA Dynamic Time Warping Algorithm was used to accurately compare a practitioner’s complex body movements with the Tai Chi standard movements dataset, taking into account execution speed deviations and others. Meanwhile, the SVM was employed to classify the movement as to quality and correctness, thereby being able to provide precise, individual feedback. This hybrid approach ensures a high-motion recognition accuracy rate while also adhering to nuanced Tai Chi requirements. The system was evaluated through detailed testing with various levels of Tai Chi experience. Evaluation showed that the students’ performance and understanding of most Taijiquan movements and related physical exercises improved significantly. It indicates the system has a practical application value for also beginners and intermediate and last expert, respectively. It also shows the effectiveness of combining DTW and SVM to support learners ‘body movement trajectory in a physical learning environment, opening them up to additional technology-assisted physical training applications. This provides implications for a more promising generation of future physical education involving the incorporation of complex AI technology.

University Students’ Perception of the Dehesa and the Associated Traditional Trades

The dehesas are one of the most emblematic landscapes of the Extremadura region (Spain). Along with its natural values, it preserves a wide repertoire of knowledge and trades rooted in the history and tradition of rural communities. However, the knowledge and practices that have characterized life in this environment are currently under serious threat. Faced with this problem, this study was based on the premise that, for individuals to commit themselves to the care and transmission of heritage, it is first necessary for them to know, understand and value it. For this reason, the main objective was to determine the knowledge and appreciation of university students with respect to the dehesa and the ancestral practice of grazing. It also aimed to analyze which are the most valued methodologies, activities, and future strategies for understanding and preserving these cultural landscapes and their ancestral practices. To this end, 400 university students were surveyed, and various quantitative and qualitative analyses were carried out. Quantitative techniques include analyses based on weighted averages, contingency tables and the chi-square test, while qualitative techniques are based on word frequency analysis and inductive content analysis. Despite coming from an environment dominated by this landscape and being one of the few regions that still preserve the ancestral practice of pastoralism, the results corroborated the students’ lack of understanding of the dehesa and the variety of uses it offers. In addition, it was evident that they have hardly frequented this landscape and have not participated in on-site educational experiences. It also revealed the importance of experiential and sensory activities in the understanding and appreciation of the rural environment and its traditions. The results can be useful for improving the design of educational tourism products based on intangible heritage. It can also be useful for adapting teaching strategies and activities to the level of knowledge and experiences of students, helping to ensure the success of the educational experience.

Online training for hearing implant surgery : Anew approach to otological training.

Education in microsurgery of the ear includes staged training to allow for mastering of the complex microsurgical procedures, particularly in the context of middle ear reconstruction and cochlear implantation. Traditional surgical training includes temporal bone preparations by cadaver dissection and supervised operating room practice. As these on-site trainings are limited, there is aneed to broaden education facilities in an on-line format. Therefore, afirst basic on-line training for otosurgery was developed. The system consists of an artificial temporal bone model together with aset of basic surgical instruments and implant dummies. As an essential part of the training kit, ahigh-resolution camera set is included that allows for connection to avideo streaming platform and enables remote supervision of the trainees' surgical steps by experienced otological surgeons. In addition, apre-learning platform covering temporal bone anatomy and instrumentation and pre-recorded lectures and instructional videos has been developed to allow trainees to review and reinforce their understanding before hands-on practice. Over the three courses held to date, 28participants with varying levels of prior surgical experience took part in this otological surgical training program. The immediate feedback of the participants was evaluated by means of aquestionnaire. On this basis, the high value of the program became apparent and specific areas could by identified where further refinements could lead to an even more robust training experience. The presented program of an otosurgical online training allows for basal education in practical exercises on aremote system. In this way, trainees who have no direct access to on-site instruction facilities in ear surgery now have the chance to start their otosurgical training in an educational setting adapted to modern technologies.

Artificial Intelligence-Assisted Prescription Determination for Orthokeratology Lens Fitting: From Algorithm to Clinical Practice.

To explore the potential of artificial intelligence (AI) to assist prescription determination for orthokeratology (OK) lenses. Artificial intelligence algorithm development followed by a real-world trial. A total of 11,502 OK lenses fitting records collected from seven clinical environments covering major brands. Records were randomly divided in a three-way data split. Cross-validation was used to identify the most accurate algorithm, followed by an evaluation using an independent test data set. An online AI-assisted system was implemented and assessed in a real-world trial involving four junior and three senior clinicians. The primary outcome measure was the algorithm's accuracy (ACC). The ACC of the best performance of algorithms to predict the targeted reduction amplitude, lens diameter, and alignment curve of the prescription was 0.80, 0.82, and 0.83, respectively. With the assistance of the AI system, the number of trials required to determine the final prescription significantly decreased for six of the seven participating clinicians (all P<0.01). This reduction was more significant among junior clinicians compared with consultants (0.76±0.60 vs. 0.32±0.60, P<0.001). Junior clinicians achieved clinical outcomes comparable to their seniors, as 93.96% (140/149) and 94.44% (119/126), respectively, of the eyes fitted achieved unaided visual acuity no worse than 0.8 (P=0.864). AI can improve prescription efficiency and reduce discrepancies in clinical outcomes among clinicians with differing levels of experience. Embedment of AI in practice should ultimately help lessen the medical burden and improve service quality for myopia boom emerging worldwide.

HIV self-testing knowledge, attitudes, and practices among Asian-born gay, bisexual, and other men who have sex with men in Australia: a qualitative study

BackgroundAchieving virtual elimination of HIV transmission in Australia requires a combination of high treatment rates and high testing coverage among individuals at risk of acquiring HIV. HIV self-testing (HIVST) is an additional testing approach for key populations.ObjectiveWe aimed to examine the knowledge, attitudes, and practices of HIVST among Asian-born gay, bisexual and other men who have sex with men (GBMSM).MethodsThis qualitative study used semi-structured interviews of overseas-born GBMSM of Asian background in Australia. Participants were recruited from personal networks, social media platforms, snowballing, and the Melbourne Sexual Health Centre. Twenty-five participants were purposively sampled with a range of ages and previous levels of experience with HIVST. Interview transcripts were imported into Nvivo 12 for data management.ResultsThe age of the participants ranged from 19 to 44 years, with a median of 30 years. Most were unaware of HIVST before the interview, and only a few had ever used one. All had limited sexual health knowledge (i.e., HIV testing, PrEP) before they arrived in Australia. Upon learning about HIVST during the interview, many expressed willingness to use HIVST, but in limited circumstances, such as traveling overseas, interim testing while taking on-demand PrEP, and point-of-sex testing. Almost all were open to distributing HIVST to their casual partners or friends, especially those they knew who engaged in high-risk sexual practice (i.e., condomless anal sex) and were not engaged in sexual healthcare. About half still preferred conventional serology testing because of regular HIV testing as part of PrEP prescription and the need for testing for other sexually transmitted infections.ConclusionHIVST may be an acceptable additional testing approach for HIV testing among Asian-born GBMSM. Peer education and secondary distribution may help raise HIVST awareness and use.

Ophthalmology Residents' Experience in Cataract Surgery: Preoperative Risk Factors, Intraoperative Complications, and Surgical Outcomes.

This retrospective study explores the connection between preoperative patient risk factors, the experience of ophthalmology residents, and the outcomes of cataract surgeries performed at Hadassah Medical Center. It is hypothesized that with increased experience, residents may demonstrate greater proficiency in handling surgeries on higher-risk patients, potentially leading to improved surgical outcomes overall. Data were examined from 691 consecutive cataract surgeries in 590 patients, conducted by ophthalmology residents at Hadassah Medical Center (January 2018 to February 2022). Demographics, surgeon experience, preoperative cataract risk assessment score, and pre- and postoperative corrected distance visual acuity (CDVA) were analyzed. The risk score was based on cataract density, previous vitrectomy, presence of phacodonesis, small pupil, extreme axial length (> 30mm or < 21.5mm) or abnormal axial length (26-30mm), shallow anterior chamber (< 2.5mm), poor patient cooperation, oral alpha-1 blocker use, diabetic retinopathy (DR), Fuchs endothelial dystrophy, and having one functioning eye. This study focused on the correlation of risk scores with residents' surgical experience and surgical outcomes. As residents gained experience, surgeries on patients with at least one risk factor increased from 54% (first year) to 75% (second year; p < 0.001) and fluctuated between 75%, 82%, and 77% (third, fourth, and fifth years, respectively), with initial preoperative CDVA declining progressively. Despite handling more complex cases over time, the percentage of intraoperative complications per patient decreased with each year of residents' experience (17%, 13%, 11%, 17%, 6%; respectively). Patients without any risk factor had higher postoperative CDVA than those with one or more risk factors (mean ± standard deviation [SD] in logMAR, 0.16 ± 0.26 vs. 0.27 ± 0.35; p < 0.001) and a higher percentage of CDVA improvement (63% vs. 57%, p = 0.016). The use of a preoperative risk assessment scoring system to allocate surgeries to residents at varying experience levels may reduce the risk for surgical complications, thereby ensuring patient safety and providing residents with a gradual learning experience.

Factors Related to Nurse’s Response Time in Management of Upper GI Bleeding among Chronic Liver Disease Patients

Background: In emergency care, the most important thing to note is the speed of nurses in responding or acting on the first patient who enters the emergency room. This speed is often referred to as response time. Nurse response time is always a measure of the service quality of a hospital or health center. Response times depend on the speed available as well as the quality of assistance to save lives and prevent infirmity. Objectives: Patients visiting to the hospital should be treated promptly and that leads to improvement in the quality of services and patient safety. The study aimed to determine the factors related to the response time of nurses in management of upper GI bleeding among chronic liver disease patients at Institute of Liver and Biliary Sciences, New Delhi, India.Methods: Carrying out the research is from February to March 2022. Analytical survey design with a cross- sectional approach. The research subjects were 20 nurses. measuring tools, namely questionnaires. analysis used bivariate analysis used the Chi-Square Test.Results: This shows that there is a relationship between education and response time with a value of p-value =.008, knowledge and response time with a value of p-value = .003.Conclusion: The level of knowledge and clinical experience determines Nurses to make prompt decision and ability to provide assessment and nursing actions. As the Nurses getting higher education levels and experience also increasing, on average they remain engaged in their work for longer time, so they are more productive and nurses have attended more training to improve their skills.

Perception of ambiguous rhoticity in Glasgow

Relatively little research has been conducted on the effect of hearing an unfamiliar native English accent. This paper tests listeners with varying levels of familiarity with the Glaswegian linguistic environment, presenting them with naturalistic minimal pairs such as hut/hurt – produced by speakers raised in Glasgow – in two-alternative-forced-choice tasks. The results of Experiment 1 show a benefit of long-term familiarity in discriminating minimal pairs with derhoticised /r/, a phonetically eroded form of postvocalic /r/ in working class Glaswegian. Native Glaswegian listeners displayed high sensitivity to difference (d’), and low response bias (c) towards hearing either rhotic or non-rhotic words, indicating accurate perception. Unfamiliar listeners were less sensitive to stimulus difference, and were biased towards hearing plain vowels, demonstrating their unfamiliarity with Glaswegian /r/. Non-rhotic English listeners with a moderate level of experience with Glaswegian showed an effect of ‘perceptual hypercorrection’, i.e. over-reporting /r/ presence. Experiment 2 found that, following a short period of exposure, English listeners with very little experience with Glaswegian also started to show hypercorrection, suggesting rapid adaptation to novel phonetic detail. These results may be explained by some general principles underlying exemplar and hybrid theories, and contribute to the ongoing research into the complex nature of Scottish /r/.

Results and methodology for classifying high risk pilots using CANFLY: A cognitive health screening tool for aviators

Cognitive health screening for aviators would assist in managing a shortage of experienced pilots. Extending pilot careers by optimizing their cognitive health would address both the number and quality of pilots available for airline and general aviation operations. The present work tested the validity of an online screening tool for pilots that measures aviation domain-relevant cognition. Sixty-five licensed pilots (18–80 years, M = 48.8, SD = 16.3) with varying levels of experience completed a 30-min online cognitive health screening tool for pilots. Risk status was determined via a novel metric using self-reported incidents. Machine learning algorithms identified the cognitive factors most useful in identifying pilots with increased risk for accidents and serious incidents. Support vector machines and boosted decision tree algorithms provided the most reliable and strongest classifications models of pilot risk. Findings support the use of this short online screening tool for highlighting performance issues with domain-relevant cognitive abilities based on the Dynamic Mental Model for pilots, such as situation awareness and prospective memory. Understanding personal cognitive challenges is the basis for customized skill maintenance designed to augment cognition for those interested in safely extending their piloting careers.

To study the awareness of needle stick injuries among healthcare workers in an area select of tertiary care hospital

Background: Needle stick injuries, or NSIs, refer to injuries produced by several types of needles, including hypodermic needles, blood collection needles, intravenous stylets, and needles used for connecting components of intravenous administration systems. Aims and Objectives: The study aimed to study the awareness of NSIs among healthcare workers (HCWs) in a selected area of a tertiary care hospital. Materials and Methods: A cross-sectional study was undertaken within the department of obstetrics and gynecology (OBG). The study’s target group was all HCWs of varied experience levels (n=272). This study employed a meticulously crafted questionnaire in the English language. The survey includes 22 items covering a variety of NSI-related topics. Subgroup analysis was conducted using the Pearson Chi-square test. Results: It was found that most of them were in the 20–30 age group (75%), the majority were females (72%), unmarried (61%), and from an urban background (85%). Almost all the participants (96%) were aware that NSIs are preventable. Similarly, 90% of the participants were aware that NSIs may cause the transmission of diseases, and 77% of the participants reported that they have training on biomedical waste management and its disposal. About 74% of the respondents stated that they had been exposed to NSIs. Conclusion: This study sheds light on the awareness levels and experiences of HCWs regarding NSIs in the OBG department. While a high level of awareness was observed, the study identified areas for improvement in the implementation of preventive measures, reporting practices, and post-exposure management.

Sport driving skills: A preliminary comparative study from outdoor testing sessions

The optimization of vehicle handling is a multifaceted process that extends beyond the vehicle’s design and engineering. This work focuses on the fundamental role that drivers play in shaping the vehicle’s overall behavior. While technological advancements have significantly impacted the automotive industry, defining new methodologies and approaches for vehicle controls, there is not yet a uniquely recognized procedure to objectively define the skills and weaknesses of pilots. This paper aims to present the preliminary results of an innovative study, based on an outdoor test campaign with a fully instrumented vehicle, driven on track by several drivers with different levels of experience. Starting from the collected data, a series of objective and generalized metrics have been defined in order to quantify different aspects related to the direct driver interaction with the car and to the trajectory repeatability. By analyzing the results obtained from these metrics, it has been possible to highlight the differences among the participants in the experimental campaign. In order to create a practical visualization of the goodness of the approach, a driver ranking has been defined and it is coherent with both the best lap times obtained by the drivers and their actual experience.

دور استخدام التعلم النقال في تحسين مهارات تصميم الجرافيك لدى المصممين الممارسين واتجاهاتهم نحوه

Mobile learning has emerged as a prominent trend in recent years, offering a valuable source of education and training for graphic designers. This study aimed to explore the impact of mobile learning on enhancing graphic design skills and assess the attitudes of practicing designers towards it. A descriptive survey method was employed, involving 534 conveniently selected practicing designers with familiarity in social media platforms. An electronic questionnaire was distributed via email and social media platforms in Saudi Arabia. Statistical analysis using SPSS software revealed a strong consensus among designers regarding the effectiveness of mobile learning in improving their design skills. Technical and printing skills were rated highly, while creativity and innovation were exceptionally high. The results of the research found a statistically significant differences at the level (≥ α 0,05) in improving graphic design skills according to gender, were high among males. Educational qualifications and specialization did not show any significant differences. However, variations were observed among different age groups and levels of experience. The study recommended further research in the field of learning and enhancing graphic design skills, along with the establishment of a dedicated educational platform for knowledge exchange and staying updated with the latest developments.

Baastrup's disease prevalence across various age groups and its association with degenerative changes: insights from STIR sequence in MRI.

Baastrup's disease is characterized by abnormal contact between adjacent spinous processes. Our study is the first to systematically incorporate the STIR sequence, recognized for its heightened sensitivity to fluid and edema, into the MRI protocol for diagnosing Baastrup's disease in symptomatic individuals. The objective is to determine its prevalence and association with lumbar spinal degenerative changes. Lumbar spinal MRI examinations of 375 patients performed between January 2021 and 2022 were retrospectively reviewed by two radiologists. Baastrup's disease was diagnosed based on meeting any of the following criteria: lumbar interspinous bursitis, hyperintense signal changes in adjacent spinous processes, and ligaments on the STIR sequence. The study also investigated the presence of degenerative changes and interreader agreement among radiologists. Baastrup's disease was found in 141 of 375 individuals (37.8%). It correlated significantly with degenerative lumbar changes such as bulging (P = 0.0012), herniation (P = 0.0033), disc degeneration (P = 0.0013), Modic changes (P = 0.034), facet osteoarthritis (P = 0.0041), spinal stenosis (P = 0.005), and anterolisthesis (P = 0.0049). No significant associations were observed with gender (P = 0.468) or retrolisthesis (P = 0.167). Its occurrence increased gradually, peaking at 87.5% in individuals aged 80 and above. Radiologists showed complete agreement with Baastrup's diagnoses. Baastrup's disease is more commonly observed than being considered rare, displaying an incremental occurrence with increasing age in symptomatic individuals notably discernible on the STIR sequence. Using the STIR sequence seems to promote a consensus among radiologists, irrespective of their experience levels.