Entering the Misinformation Age: Quality and Reliability of YouTube for Patient Information on Liposuction

Background: YouTube is currently the most popular online platform and is increasingly being utilized by patients as a resource on aesthetic surgery. Yet, its content is largely unregulated and this may result in dissemination of unreliable and inaccurate information. The objective of this study was to evaluate the quality and reliability of YouTube liposuction content available to potential patients. Methods: YouTube was screened using the keywords: “liposuction,” “lipoplasty,” and “body sculpting.” The top 50 results for each term were screened for relevance. Videos which met the inclusion criteria were scored using the Global Quality Score (GQS) for educational value and the Journal of the American Medical Association (JAMA) criteria for video reliability. Educational value, reliability, video views, likes, dislikes, duration and publishing date were compared between authorship groups, high/low reliability, and high/low educational value. Results: A total of 150 videos were screened, of which 89 videos met the inclusion criteria. Overall, the videos had low reliability (mean JAMA score = 2.78, SD = 1.15) and low educational value (mean GQS score = 3.55, SD = 1.31). Videos uploaded by physicians accounted for 83.1% percent of included videos and had a higher mean educational value and reliability score than those by patients. Video views, likes, dislikes, comments, popularity, and length were significantly greater in videos with high reliability. Conclusions: To ensure liposuction-seeking patients are appropriately educated and informed, surgeons and their patients may benefit from an analysis of educational quality and reliability of such online content. Surgeons may wish to discuss online sources of information with patients.

The Role of Political Parties in Supporting the Process of Democratic Consolidation

This study identifies the role of Jordanian political parties in supporting the process of democratic consolidation and in solving the problems and challenges that block the process of democratic transformation. It used a cross-sectional design depending on statistics and analytics, whereby 497 male and female students were selected from three departments of the recruited colleges. Data were collected through a questionnaire, with a reliability score of 0.92 (Cronbach’s alpha). Descriptive statistics, Pearson correlation coefficient, univariate analysis, and multiple contrast tests were used to analyze the data. Findings from the study indicated that the role of Jordanian political parties in entrenching the process of democratic transformation and in solving problems and challenging procedures was partially performed. The obtained p-value of 0.00 indicates that political parties play a significant role in dealing with democratic challenges at behavioral, attitudinal, and constitutional levels.

Development of Web-Based Science Learning Module in Improving the Students’ Understanding of Eco-Literacy

This study aims to determine the feasibility of the module in improving students' understanding of eco-literacy. This research is development research using the 4D development model with ten students as research participants. The learning module developed is validated by two competent validators from internal and external campuses. The feasibility of the module includes the validity and reliability of the module as measured by the validation questionnaire sheet. The validation results show that the module obtained an average score of 3.66 (very valid category), with the reliability score of 0.83 (real category). The research data were analyzed descriptively and quantitatively. Students' understanding was measured on the competency test in the module on the pretest and posttest after giving the treatment. The results of the module trial calculated using the N-gain formula indicate that the effectiveness was under the high category with a score of 0.703 with an average pretest and posttest values of 43.7 and 83.49, respectively. Based on the study results, it can be concluded that the web-based science learning module developed is valid, reliable, and effective in improving students' understanding of eco-literacy.

Design and validation of an evaluation instrument that assesses the pro-environmental behavior of Mexican university students

The purpose of this research was to design and validate a research instrument that delimits the degree of proenvironmental behavior (CPA). For the design and validation, the instrument was subjected to a review with specialists in the area. Subsequently, it was applied to the student community of the Autonomous University of Guerrero (UAGro). To define the adequacy and reliability of the items, along with their comprehension, was applied to a pilot group of 76 students. During the first review, the research instrument was approved by 15 experts, who also made suggestions. The reviewers endorsed the validity of the items’ content, and an optimum reliability score was obtained (Cronbach's alpha: 0.778). It is concluded that the evaluation instrument is valid in content, reliable, and accessible to monitor and evaluate the pro-environmental behavior in students.

Improved Random Forest Algorithm Based on Decision Paths for Fault Diagnosis of Chemical Process with Incomplete Data

Fault detection and diagnosis (FDD) has received considerable attention with the advent of big data. Many data-driven FDD procedures have been proposed, but most of them may not be accurate when data missing occurs. Therefore, this paper proposes an improved random forest (RF) based on decision paths, named DPRF, utilizing correction coefficients to compensate for the influence of incomplete data. In this DPRF model, intact training samples are firstly used to grow all the decision trees in the RF. Then, for each test sample that possibly contains missing values, the decision paths and the corresponding nodes importance scores are obtained, so that for each tree in the RF, the reliability score for the sample can be inferred. Thus, the prediction results of each decision tree for the sample will be assigned to certain reliability scores. The final prediction result is obtained according to the majority voting law, combining both the predicting results and the corresponding reliability scores. To prove the feasibility and effectiveness of the proposed method, the Tennessee Eastman (TE) process is tested. Compared with other FDD methods, the proposed DPRF model shows better performance on incomplete data.

Reliability study of Visual Infusion Phlebitis Score Portuguese European version

Phlebitis is the most frequent complication associated with the use of Short Peripheral Catheters. The Visual Infusion Phlebitis Scale is a tool used to access the catheter insertions site and surrounding area, providing a score. The goal of this study was to translate and culturally adapt the VIP scale to European Portuguese in order to achieve a reliability score. Intra and inter-observer reliability studies were performed. The study was conducted at one Portuguese Hospital in a sample of 23 participants. The reliability score was assessed using Kendall's Tau = 0.925, Spearman's Rho = 0.926 and Cohen Kappa = 0.918.

Causal Modeling Between Factors on Quality of Life in Cancer Patients Using S3C-Latent Algorithm

Background: Cancer patients can experience both physical and non-physical problems such as psychosocial, spiritual, and emotional problems, which impact the quality of life. Previous studies on quality of life mostly have employed multivariate analyses. To our knowledge, no studies have focused yet on the underlying causal relationship between factors representing the quality of life of cancer patients, which is very important when attempting to improve the quality of life. Objective: The study aims to model the causal relationships between the factors that represent cancer and quality of life.Methods: This study uses the S3C-Latent method to estimate the causal model relationships between the factors. The S3C-Latent method combines Structural Equation Model (SEM), a multi objective optimization method, and the stability selection approach, to estimate a stable and parsimonious causal model.Results: There are nine causal relations that have been found, i.e., from physical to global health with a reliability score of 0.73, to performance status with a reliability score of 1, from emotional to global health with a reliability score of 0.71, to performance status with a reliability score of 0.82, from nausea, loss of appetite, dyspnea, insomnia, loss of appetite and from constipation to performance status with reliability scores of 0.76; 1; 0.61; 0.76; 0.72; 0.70, respectively. Moreover, this study found that 15 associations (strong relation where the causal direction cannot be determined from the data alone) between factors with reliability scores range from 0.65 to 1.Conclusion: The estimated model is consistent with the results shown in previous studies. The model is expected to provide evidence-based recommendation for health care providers in designing strategies to increase cancer patients’ life quality. For future research, we suggest studies to include more variables in the model to capture a broader view to the problem.

A Study on Determinants of Customer Satisfaction in E-enabled bus booking platforms

E-enabled ventures (especially the online bus booking services) have witnessed impressive growth in India during last decade. Especially after COVID-19, customer shift towards online services is expected to augment. This paper is an attempt to develop a scale for determinants of customer satisfaction amongst the existing users of online bus booking (e-enabled platform).Using e-SERVQUAL model by Parasuraman et al. (2005), a draft instrument was designed. Since online bus services also includes physical experience of services offered, Tangibility factor was added in the construct. The questionnaire was tested on a sample of existing users of online bus booking services (n=105). After checking for the adequate reliability score, Exploratory factor Analysis (EFA) was performed. It resulted into extraction of four factors such as Contact, Fulfilment, Privacy and Responsiveness, accounting for 50.5% of total variance explained. Validating this scale on a larger sample for generalisation of the results would be the future agenda of research. Development of India specific scale for e-enabled business models in public transports can be considered as one of the major contribution of this study.

A Study on Determinants of Customer Satisfaction in E-enabled Bus Booking Platforms

E-enabled ventures (especially the online bus booking services) have witnessed impressive growth in India during last decade. Especially after COVID-19, customer shift towards online services is expected to augment. This paper is an attempt to develop a scale for determinants of customer satisfaction amongst the existing users of online bus booking (e-enabled platform). Using e-SERVQUAL model by Parasuraman et al. (2005), a draft instrument was designed. Since online bus services also includes physical experience of services offered, Tangibility factor was added in the construct. The questionnaire was tested on a sample of existing users of online bus booking services (n=105). After checking for the adequate reliability score, Exploratory factor Analysis (EFA) was performed. It resulted into extraction of four factors such as Contact, Fulfilment, Privacy and Responsiveness, accounting for 50.5% of total variance explained. Validating this scale on a larger sample for generalisation of the results would be the future agenda of research. Development of India specific scale for e-enabled business models in public transports can be considered as one of the major contribution of this study.

ABILITY IN USING CHINESE ADVERB “TONGCHANG” AND “CHANGCHANG” OF STBA-PIA SECOND YEAR STUDENT 2017/2018 ACADEMIC YEAR

The research is aimed at discovering the ability of STBA-PIA Second Year Students 2017/2018 Academic Year in using the Chinese Adverb “Tongchang通常” and “Changchang 常常”. This research uses a descriptive quantitive design method with a total population of 67 students. As the total population is under 100, the whole students are taken as the research sample. Students’ ability in using both Chinese Adverbs “Tongchang通常” and “Changchang 常常” is measured by using the test in which is the research instrument. The validity and reliability of the research instrument are examined by using content validity and internal reliability. Internal reliability is examined by using Kuder Richardson 20 formula. The reliability of the instrument shows the coefficient of 0.618 in which may be interpreted as quite a strong value. After passing the reliability score, the instrument is given a test to students. The result of the test is the ability of STBA-PIA second-year students in using the Chinese Adverb “Tongchang通常” and “Changchang常常” can be categorized as quite competent as 61.18% of students reach the average score of 74.72 for “Tongchang通常” and 63.18% of students reach the average score of 72.04 for “Changchang 常常”.