Average Score Research Articles

MIB-Inquiry-Infographic Android Application and Its Impact on Students' Critical Thinking Skills during the COVID-19 Pandemic

<p style="text-align:justify">Momentum-impulse requires critical thinking skills, and teaching should be encouraging for students. Critical thinking skills can be fostered through inquiry-based learning. During the COVID-19 pandemic, familiar learning media were used for students. Therefore, it is necessary to develop creative learning media. This developmental research aimed to create a momentum-impulse e-book based on inquiry supported by infographics (MIB -In-graph) to enhance students' critical thinking skills. The developmental model was a 4D model with field testing, i.e., a pretest-posttest control group design with three classes. Descriptive analysis showed that MIB-In-graph, an Android application, received a good average rating in content, worksheets, and forms. Students’ responses were very positive. Mixed design ANOVA showed that the mean score of students’ critical thinking skills increased significantly from the pretest to the posttest in each class and students’ critical thinking skills in the experimental class was more salient than control class 1 and control class 2. The highest difference in mean scores was in the experimental class. The differences were influenced by various factors such as learning approaches, media use, pictures, and collaboration.</p>

Dry Eye Disease Symptoms Among Glaucoma Patients at a Portuguese Hospital.

Glaucoma-related dry eye disease (DED) is often underestimated, but it is an important comorbidity affecting 40% to 59% of glaucoma patients. It may be an exacerbation of a pre-existing condition or a novel disease starting after the initiation of topical medication. The cumulative effect of medication, preservatives and excipients leads to an alteration in tear film composition and ocular surface stability. The main purpose of this investigation was to study a group of Portuguese glaucoma patients regarding the presence of DED symptoms and correlate the severity of the symptoms with the usage of different types of glaucoma topical medications. This is a cross-sectional observational study of patients diagnosed with primary and secondary open-angle glaucoma. The questionnaire Standardized Patient Evaluation of Eye Dryness (SPEED) translated to Portuguese (SPEED-Vp) was taken by patients followed in the Glaucoma Department of Unidade Local de Saúde Entre Douro e Vouga, Santa Maria da Feira, Portugal. Data was collected regarding their age, gender, type of topical medication in use as well as frequency and duration of usage. A statistical analysis was performed. A total of 75 patients answered the SPEED-Vp questionnaire. The mean age was 72 ± 7 years old. Fifty-two percent (n=39) were male, and 48% (n=36) were female patients. About 49.33% (n=37) had been on intraocular pressure (IOP)-lowering eyedrops for more than five years. About 61.43% (n=43) of patients used IOP-lowering eyedrops with preservatives. Most of the patients used prostaglandin analogs (75.71%, n=53) and beta-blockers (72.86%, n=51). SPEED score average was 2.75. About 25.33% (n=19) had no DED symptoms, 58.67% (n=44) had mild symptoms, 8% (n=6) had moderate symptoms and 8% (n=6) had severe symptoms. No statistically significant correlation was found between SPEED score and age, gender, number of eyedrop containers, number of active principles, application frequency, presence of preservatives, number of eyedrop containers with preservatives, duration of eyedrops usage or any of the medication groups. Although a high percentage of patients were on eyedrops with preservatives, this low rate of symptoms might be because patients tended to devalue these symptoms;were already on treatment with artificial tears; or have an underestimation of the sensation of dry eye due to decreased neuronal corneal nerve responses and density. These results were surprisingly positive. This might also be the result of the healthcare provider's sensibilization to this issue (early diagnosis, early prescription of artificial tears and change from preservative to preservative-free medication).

Effect of A Multi-Model Based Intervention on Bullying Prevention through Peer Advocacy

Peer advocacy and bullying prevention programs are ergonomic and helpful in protecting students from the effects of bullying. This study aims to evaluate the effect of model-based strategies on bullying prevention through peer advocacy. Model-based strategies combine STAC strategies, Logic Model and ABCD Model in the current study. This study was conducted as a quasi-experimental design with pre- and post-tests. Its population consisted of sixth-grade students in four primary schools in Wales, UK. Students were included in the intervention (n = 38) and control (n = 38) groups. An education program was given to the intervention group in three sessions with the strategies based on two models. Data analysis consisted of Chi-square, Repeated Measures ANOVA, and t-tests. Data were collected with a personal information form, the Student-Advocates Pre-and Post-Scale (SAPPS), and the Friendship Qualities Scale. The SAPPS and Self-Confidence to Intervene to Stop Bullying sub-scale post-test mean scores increased significantly (p < .0.05) after the education. An increase was observed in the averages of scales and subscales scores in the intervention group. The program was effective in developing students’ advocacy, building self-confidence, increasing awareness of bullying information, and using Strategies information to prevent bullying. Model-based configuration may have made the program more effective.

ANALYSIS OF THE PROJECT BASED LEARNING LEARNING MODEL BY UTILIZING YOUTUBE MEDIA TO IMPROVE STUDENTS' SPEECH SKILLS AT SMP NEGERI 3 MERAUKE

This research aims to analyze the project-based learning model (PjBL) using YouTube video media in student speech learning. The research subjects were carried out on class IX students in the odd semester of 2023. The research was carried out at SMP Negeri 3 Merauke, with a total of 37 students and the object of this research was speech skills. Data collection techniques use initial tests (pretest) and final tests (posttest), observation, and documentation. Data collection in this research was carried out by conducting tests, namely students' speeches before and after using YouTube media with reference to linguistic and non-linguistic aspects. The results of the research show that the use of YouTube media can improve speech skills and is very effective in teaching speeches for class IX students of SMP Negeri 3 Merauke with the results of comparing the average scores of students in the pretest and posttest with test statistics. t. It is known that the t-value obtained by t-test analysis is -8.627 with a standard deviation value of 7.260 and a p-value of 0.000. This means that there is an influence of the use of YouTube media on improving the speech skills of class XI students at SMP Negeri 3 Merauke.

Graded Mean Integration Representation and Intuitionistic Fuzzy Weighted Arithmetic Mean for Similarity Measures in Case-Based Reasoning

Graded Mean Integration Representation and Intuitionistic Fuzzy Weighted Arithmetic Mean for Similarity Measures in Case-Based Reasoning

Evaluation of ChatGPT’s Response to Common Patient Questions for Total Ankle Arthroplasty

Introduction/Purpose: Many patients use the internet as a source for medical information regarding their medical condition. However, the accuracy and reliability of the information is variable. The recent release of general population facing artificial intelligence (AI) chatbot programs has created a potential alternative medical information source for patients. Our study examined the accuracy of the information provided by ChatGPT for total ankle arthroplasty (TAA), as determined by four fellowship-trained foot and ankle orthopedic surgeons. Methods: GPT-4, the latest ChatGPT model, was asked the 12 of the most common questions patients have regarding TAA. Its responses were recorded and evaluated by four fellowship-trained foot and ankle orthopedic surgeons on a scale of 1 – 4, with 1 representing an excellent response not requiring clarification and 4 representing an unsatisfactory response requiring significant clarification. Averages of scores for each question were recorded and an average of every score was used to develop an overall accuracy score. Results: The overall accuracy score of GPT-4 was 1.35. The responses by GPT-4 received a score of 1 for 32 of 48 (66.7%) responses. There was found to be no significant difference in scores for any of GPT-4’s responses. Conclusion: Our study found that GPT-4 performed well in providing accurate and near complete information to commonly questions asked to physicians by patients regarding TAA. Our results suggest that AI models, like GPT-4, may be an effective alternative source of medical information for patients. Further study with subsequent AI models and direct patient interaction may shed further light on the utility of this potential patient education modality. ChatGPT Response Accuracy Score Accuracy scores for ChatGPT, as determined by four foot and ankle fellowship-trained orthopedic surgeons

Assessment of the Quality of YouTube Educational Videos on Laparoscopic Right Adrenalectomy and Laparoscopic Partial Nephrectomy Surgeries.

Introduction: Despite the considerable studies conducted on the quality of YouTube surgical videos as an educational resource in other surgical fields, there have been no such studies in the field of laparoscopic urology so far. Considering the great sensitivity in these procedures and the necessity of identifying the mistakes in these videos, we aimed to evaluate the quality of YouTube educational videos on laparoscopic right adrenalectomy and laparoscopic partial nephrectomy surgeries. Materials and Methods: In this descriptive cross-sectional study, 131 YouTube educational videos on laparoscopic right adrenalectomy and laparoscopic partial nephrectomy surgeries were reviewed. Two researchers familiar with laparoscopic urological surgery reviewed the videos based on the LAP-VEGaS checklist. A third professor reviewed the videos on which there were disagreements. Results: In the majority of the videos, the title was chosen accordingly and the surgeon was introduced appropriately. Furthermore, in most of the videos, patient anonymity was respected. The mean score of the videos was equal to 74.3 ± 5.4, the maximum score being 17 and the minimum 1. The average score of the partial nephrectomy videos was obtained as 98.3 ± 5.74, whereas the average score for adrenalectomy videos was 47.3 ± 4.5. The overall average score of the studied videos was 74.3 ± 5.40. Conclusion: The results of our study suggest that most of YouTube videos on laparoscopic right adrenalectomy and laparoscopic partial nephrectomy surgeries are used for educational purpose. These YouTube videos are suboptimal in educational aspect and students should be advised to use them with caution.

Evaluation of ChatGPT for Patient Counseling in Kidney Stone Clinic: A Prospective Study.

Introduction: The potential of large language models (LLMs) is to improve the clinical workflow and to make patient care efficient. We prospectively evaluated the performance of the LLM ChatGPT as a patient counseling tool in the urology stone clinic and validated the generated responses with those of urologists. Methods: We collected 61 questions from 12 kidney stone patients and prompted those to ChatGPT and a panel of experienced urologists (Level 1). Subsequently, the blinded responses of urologists and ChatGPT were presented to two expert urologists (Level 2) for comparative evaluation on preset domains: accuracy, relevance, empathy, completeness, and practicality. All responses were rated on a Likert scale of 1 to 10 for psychometric response evaluation. The mean difference in the scores given by the urologists (Level 2) was analyzed and interrater reliability (IRR) for the level of agreement in the responses between the urologists (Level 2) was analyzed by Cohen's kappa. Results: The mean differences in average scores between the responses from ChatGPT and urologists showed significant differences in accuracy (p < 0.001), empathy (p < 0.001), completeness (p < 0.001), and practicality (p < 0.001), except for the relevance domain (p = 0.051), with ChatGPT's responses being rated higher. The IRR analysis revealed significant agreement only in the empathy domain [k = 0.163, (0.059-0.266)]. Conclusion: We believe the introduction of ChatGPT in the clinical workflow could further optimize the information provided to patients in a busy stone clinic. In this preliminary study, ChatGPT supplemented the answers provided by the urologists, adding value to the conversation. However, in its current state, it is still not ready to be a direct source of authentic information for patients. We recommend its use as a source to build a comprehensive Frequently Asked Questions bank as a prelude to developing an LLM Chatbot for patient counseling.

Impact of Midfoot Charcot Arthropathy (Brodsky Type 1) on Patient Reported Outcome Scores

Introduction/Purpose: Charcot arthropathy is a debilitating and challenging clinical problem for patients and providers. Patient reported outcome measures (PROMs) are an effective tool for gauging a patient’s quality of life and daily functioning, but they have not been reported in the setting of Charcot arthropathy. Our goal is to assess PROMs severity in midfoot Charcot arthropathy (Brodsky Type 1), alongside linked demographics and comorbidities. We will compare these values with PROMs from conditions like ESRD, knee and hip arthritis, highlighting Charcot arthropathy's comparable debilitation. Methods: A retrospective chart review identified 67 patients with Brodsky Type 1 Charcot arthropathy by one of two fellowship- trained foot and ankle surgeons at a single academic medical center between years 2015 and 2023. ICD-10 CM codes E11.610, M14.671, and M14.672 were used to identify diagnosis of Charcot arthropathy and radiological interpretation determined Brodsky type. Data collected from patient charts included demographics, medical history, presence of ulcers, and preoperative Visual Analog Scale (VAS), 12-Item Short Form Health Survey (SF-12), Pain Catastrophizing Scale (PCS), Pain Disability Index (PDI), SSS- 8, Foot and Ankle Outcome Score (FAOS), and Foot and Ankle Ability Measure (FAAM) scores and postoperative FAOS and FAAM scores. A One-Way ANOVA was performed to evaluate statistical significance. Averages of preoperative PROM scores were compared to literature values for other diseases. Results: Our cohort was mostly male (58.2%), with mean age 61.73 years, BMI 32.9, and A1C 6.9. Initial presentation revealed 50.7% had ulcers. Brodsky type 1 (midfoot) had notably the lowest pre-op PROM scores when compared to other Brodsky types: PDI Recreation (p=.033), FAOS Symptoms and Stiffness (p=.044), and FAOS Recreation (p=.027). Ulcer presence yielded significantly lower FAAM-ADL scores (p=.038), while other PROMs showed no statistical difference. Our mean VAS score was 53.34 which was higher than hip arthritis VAS (43.0) but lower than ESRD VAS (60.0) and knee arthritis VAS (64.2). Our SF-12 PCS scores (29.4) exceeded prior reports (hip 28.5, knee 28.6), while SF-12 MCS scores were higher in earlier studies (hip 49.6, knee 51.5) than our 43.8. Conclusion: Patients with Charcot arthropathy struggle in daily tasks, reflected in lowered FAOS ADL scores. Brodsky type 1 patients also face challenges in higher-level activities, evident in reduced PDI recreation and FAOS recreation scores. Those with ulcers similarly encounter issues in daily tasks, seen in lower FAAM ADL scores. Brodsky type 1 patients also experience debilitating pain as noted by higher VAS scores when compared to known debilitating conditions such as hip and knee arthritis. Comparatively minor differences in knee and hip arthritis SF-12 PCS scores indicate significant physical limitations for these patients.

Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria.

Despite their remarkable performance, deep neural networks remain unadopted in clinical practice, which is considered to be partially due to their lack of explainability. In this work, we apply explainable attribution methods to a pre-trained deep neural network for abnormality classification in 12-lead electrocardiography to open this "black box" and understand the relationship between model prediction and learned features. We classify data from two public databases (CPSC 2018, PTB-XL) and the attribution methods assign a "relevance score" to each sample of the classified signals. This allows analyzing what the network learned during training, for which we propose quantitative methods: average relevance scores over a) classes, b) leads, and c) average beats. The analyses of relevance scores for atrial fibrillation and left bundle branch block compared to healthy controls show that their mean values a) increase with higher classification probability and correspond to false classifications when around zero, and b) correspond to clinical recommendations regarding which lead to consider. Furthermore, c) visible P-waves and concordant T-waves result in clearly negative relevance scores in atrial fibrillation and left bundle branch block classification, respectively. Results are similar across both databases despite differences in study population and hardware. In summary, our analysis suggests that the DNN learned features similar to cardiology textbook knowledge.

An optimal model for detection of lung cancer using convolutional neural network

In terms of frequency and mortality, lung cancer ranks second among all cancers worldwide for both men and women. It is suggested that pattern classification and machine learning be applied to the identification and categorization of lung cancer. Convolution neural network (CNN) techniques divide the input data into groups according to the distinctive characteristics of the input. Using a standard approach to analyze a large number of computed tomography images, early detection of lung cancer can save lives. The suggested effort is centered on identifying the precise type of cancer and making predictions about whether it is benign or aggressive. The deployment of proposed model is an attempt to improve the accuracy of the system. The proposed work showed an overall accuracy of 98.4% during the detection of lung cancer and 98.8% accuracy towards the prediction of specific type in the lung cancer. Mean average precision score of 97.17% and 98.75% test and validation respectively. 0.96, 0.93, and 0.95 for malignant test data.

1249 Single-Center Outcomes of Onyx Frontier and Resolute Onyx Drug-Eluting Balloon Mounted Stents for Rescue Stenting for Acute Large Vessel Occlusion

INTRODUCTION: Mechanical thrombectomy (MT) is a common treatment for large vessel occlusions with recent literature expanding its indications. In cases where MT fails, rescue stenting may be necessary to achieve reperfusion; however, the absence of standardized techniques or devices poses a challenge. METHODS: A retrospective chart review was performed of all patients who underwent rescue stenting, in the setting of MT, using Onyx Frontier or Resolute Onyx stents at a single institution. Technical details, procedural complications, and patient outcomes were recorded for each case. RESULTS: In total, 21 Onyx Frontier and Resolute Onyx stents were deployed in 18 patients undergoing rescue stenting. Among these, 13 involved the use of Resolute Onyx stents, while 5 cases utilized Onyx Frontier stents. Stent locations included the middle cerebral artery (40%), internal carotid artery (15%), vertebral artery (20%), and basilar artery (25%). The average NIHSS score before MT was 13.83 (range 0-31). The median initial mRS score was 0, while the median mRS score at follow-up was 3. Successful reperfusion, as assessed by TICI scores, was achieved in 43.8% of patients for TICI 3, 43.8% for TICI 2C, and 12.5% for TICI 2B. The average proximal vessel diameter was 2.31 mm, and the most used stent length was 12 mm. Post-revascularization, 33% of patients experienced hemorrhage, of which only one patient (16.7%) had symptomatic hemorrhage due to vessel rupture necessitating hemicraniectomy. CONCLUSIONS: Onyx Frontier and Resolute Onyx stents are well-suited for rescue stenting in cases where aspiration and stentriever techniques fail during MT. These balloon-mounted drug-eluting stents exhibit excellent navigability, rendering them appropriate for rescue revascularization procedures. Our findings demonstrate that these stents confer a high degree of technical success and a low rate of intra- and post-procedural complications.

191 Online Multi-media Teaching Modules are Effective for Surgical Education in Electrodiagnostic Interpretation

INTRODUCTION: Though electrodiagnostic studies are the gold standard for diagnosing nerve injuries, most surgeons are not trained to interpret these studies, and therefore typically rely on interpretation from a non-surgical electrodiagnostician. This discrepancy between interpretation and treatment of nerve injuries can lead to suboptimal surgical planning and patient outcomes. METHODS: Hand surgeons at various stages of training were recruited from professional surgical societies. All surgeons completed an educational module, which consisted of a pre-intervention knowledge assessment, an educational video, and a post-intervention assessment. The educational video was a 45-minute lecture on electrodiagnostic indications for nerve injury and included either traditional PowerPoint or Prezi formatting. Participants were randomized into receiving one of the two video formats. A retention assessment, including surgeon satisfaction and feedback, was administered at three-months after initial evaluation. RESULTS: Sixty-three surgeons completed the pre-intervention knowledge assessment, educational video, and post-intervention assessment, 30 of whom underwent the three-month retention assessment. The average assessment score improved by 2 points between pre- and post-intervention (12-point scale, p &lt; 0.001). The majority of participants responded that the educational video was a “perfect” length (81%), was engaging (86%), improved their knowledge (86%), and that they would incorporate the information into their clinical practice (86%). Seventy-two percent of the surgeons preferred the online teaching module compared to a traditional in-person conference presentation. There was no significant difference in assessment performance and surgeon satisfaction between Prezi and PowerPoint formatting (p &gt; 0.05). CONCLUSIONS: Our results demonstrate the feasibility and efficacy of an online educational module to support continuing professional development in nerve injury surgery, irrespective of the presentation style (i.e., Prezi vs. PowerPoint). This study highlights the potential behind online educational content and provides a framework for future multimedia modules for surgical education.

Validation of the Ukrainian caregiver-report version of the Child and Adolescent Trauma Screen (CATS) in children and adolescents in Ukraine.

Emerging research indicates that the ongoing conflict in Ukraine has led to an increased prevalence of war-related posttraumatic stress disorder (PTSD) in children and adolescents. The current study sought to test the psychometric properties of a Ukrainian-translated measure of PTSD for children and adolescents; the Child and Adolescent Trauma Screen (CATS; Sachser et al., 2017). Participants were an opportunistic sample of N = 2,004 parents living in Ukraine who provided data on themselves and one target child in their household as part of The Mental Health of Parents and Children in Ukraine Study. The latent structure of the parent-reported CATS was tested using confirmatory factor analysis, composite reliability estimates were estimated, and criterion validity was assessed. The latent structure of the parent-reported CATS was best reflected by a three-factor model and a four-factor model in the preschool and child and adolescent samples, respectively. Estimates of internal reliability were high for both samples. Criterion validity was supported through associations with external measures of internalizing, externalizing, and attention problems. Parent-report child milestone development delays and prior psychological or pharmacological support were associated with higher average scores on the CATS symptom scales. The prevalence of probable PTSD for the preschool sample was 15.4% (n = 77) and the prevalence of probable PTSD for the child and adolescent sample was 14.4% (n = 217). This study supports the psychometric properties of the Ukrainian parent-reported CATS which can be used routinely in clinical practice for the caregiver-rated assessment of PTSD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Technology pedagogy content knowledge framework to prepare Indonesian career counselors

&lt;span lang="EN-US"&gt;Technological pedagogical and content knowledge (TPACK) is one of the smart solutions for implementing learning in accordance with the demands of education by integrating technology. The purpose of the study was to analyze the competency level of counselors in Indonesia in terms of age in terms of age, gender, and level of education. The research design used a cross-sectional survey in a non-experimental quantitative study. Respondents in this study amounted to 420 counselors in Indonesia obtained by using a proportional random sampling technique. Data were collected by questionnaire technological pedagogy content knowledge test for counselors (TPACK-TFC). The results of the study found that the TPACK was owned by counselors with an average score of 46.78 in the low category. Judging from the aspect of technology knowledge (TK), a score of 59.88 was obtained in the medium category, content knowledge (CK), pedagogical knowledge (PK), pedagogical content knowledge (PCK), technological content knowledge (TCK), technological pedagogical knowledge (TPK) was at a relatively low level. The results showed that Indonesian counselors have not fully integrated learning models using aspects namely technology, pedagogy, and content, and need to get attention from the government, higher education institutions, and the community for the development of quality guidance and counseling services and counselor careers in the future.&lt;/span&gt;

Online lectures with local wisdom context: efforts to develop students’ higher-order thinking skills

&lt;span lang="EN-US"&gt;Indonesian students have low higher-order thinking skills (HOTS), so efforts are needed to improve these skills. This research aims to examine the effect of online learning with local wisdom context on students’ HOTS. The online learning in question is a lecture using Zoom Cloud Meeting (ZCM), Google Meet (GM), and a combination of GM and learning management system (LMS) SPADA Universitas Mataram. This study took a sample of 77 5th-semester students who took the 2021/2022 Physics Curriculum Study course at Universitas Mataram, Indonesia. This quantitative research method uses a posttest-only group design. The student HOTS data were obtained based on the essay test after the treatment. The data analysis used to test the research hypothesis is one-way ANOVA with calculations using the SPSS 25 application. The research results showed that the class combining GM and SPADA UNRAM with local wisdom context significantly affects students’ HOTS scores. The average score of HOTS with the lecture model is the highest compared to the other two classes. Thus, online lectures with local wisdom context using a combination of GM and SPADA UNRAM can be an effort to develop HOTS for prospective physics teacher students.&lt;/span&gt;

The Roles of Internet Addiction and Cyberbullying Sensitivity for Prediction of University Students Psychological Inflexibility

In this research, it is aimed to examine the role of internet addiction and cyberbullying sensitivity on the psychological inflexibility of university students. The study group was formed with university students studying in the state and selected by the random cluster sampling method. The relational screening model was used in the research. 561 university students, including 473 girls and 88 boys, participated in the research. Acceptance and Action Form-2, Young Internet Addiction Short Form, Cyber Bullying Sensitivity Scale, and Personal Information Form were used to collect the data for the research. Independent samples t-test, one-way analysis of variance Pearson Product Moments Correlation Technique, and multiple linear regression analysis were used in the research. As a result, the average psychological inflexibility scores of students with a low perceived family income level were found to be significantly higher than those of students with a moderate perceived family income. It was found that the psychological inflexibility score averages of the group whose purpose of using the Internet is to shop were higher than the psychological inflexibility score averages of the group using the Internet for information purposes. As the daily usage of social media increases, the average psychological inflexibility score increases. There is a significant positive relationship between Internet addiction and psychological inflexibility. There is a significant positive relationship between sensitivity and psychological inflexibility related to cyberbullying. According to the research findings, it has been found that the sensitivity related to internet addiction and cyberbullying is a predictor of psychological inflexibility scores.

Lifetime Extension of Wireless Sensor Networks by Perceptive Selection of Cluster Head Using K-Means and Einstein Weighted Averaging Aggregation Operator under Uncertainty

Lifetime Extension of Wireless Sensor Networks by Perceptive Selection of Cluster Head Using K-Means and Einstein Weighted Averaging Aggregation Operator under Uncertainty

Examination of the Relationship Between Physical Activity, Perceived Stress and Sleep Quality of Nursıng Students: A Cross-Sectional and Correlational Study

Nursing students often experience challenges related to sleep quality, which can have implications for their overall well-being and academic performance. The aim of this study is to examine the relationships between physical activity, perceived stress, and sleep quality among senior nursing students. This study employed a cross-sectional and correlational design. The study was conducted between September and Ocober 2021, involving senior nursing students who were undergoing practical training in a state hospital. Data were collected through face-to-face interviews using the "Introductory Information Form," "International Physical Activity Questionnaire (Short)/IPAQ" "Perceived Stress Scale/PSS" and "Pittsburgh Sleep Quality Index/PSQI". Out of 42 students, 40 students participated in the study. Data analysis involved descriptive statistics such as frequency, percentage, minimum and maximum scores, mean scores, standard deviation, and Pearson correlation test. The mean score for physical activity assessed using the IPAQ was 1051.38±890.17 MET (metabolic equivalent), the average score on the PSS was 27.88±8.72, and the average score on the PSQI was 14.10±2.38. The correlation analysis revealed a significant positive correlation between sleep quality and physical activity levels (p≤0.05). Furthermore, a positive and moderate relationship was observed between sleep quality and perceived stress levels (p≤0.05). The findings indicate that nursing students have moderate levels of physical activity and perceived stress, and their sleep quality is considerably low.

Risk measurement of aggregation approaches in multiple attribute decision making under uncertain information

The decision-maker's judgment deviates from uncertain attribute information will lead to decision risk in multiple attribute decision making (MADM), and different aggregation approaches result in different risk levels. This paper aims to study the risk levels of aggregation operators in MADM with uncertain attribute information. We use the signal detection theory to characterize the decision-maker's noisy perceptions of multiple attributes to present his/her judgment deviation. Then, we establish the aggregation models to aggregate these perceptions based on the weighted averaging (WA) and the ordered weighted averaging (OWA) operators. Furthermore, a risk measurement model of each aggregation approach is constructed to measure the risk levels of the commission risk (CR), the omission risk (OR), and the overall risk. A numerical example is used to verify the validity of the proposed model, while simulation experiments are designed to compare the risk levels of the WA and OWA operators. The results reveal that the overall risk level of the WA operator is higher than that of the OWA operator when judging the quality of the alternative with high standards; otherwise, the WA operator is lower. This finding provides a scientific reference for aggregation approach selection under uncertain information. Code metadataPermanent link to reproducible Capsule: https://doi.org/10.24433/CO.0911610.v1.