Average Reading Research Articles

Readability and credibility evaluation of most-visited health websites based on eBizMBA and Alexa global ranking

Introduction: Online health information is one of the most important and widely used sources of information. Currently, a significant number of individuals use the internet for health-related information to learn about health, disease, health promotion, and threats to their health.Material and Methods: This research examined the top 15 health websites based on their popularity in eBizMBA and Alexa rank from January to February 2022. A total of 30 health websites (15 from each category) were evaluated in terms of credibility by the use of Journal of the American Medical Association (JAMA) and health on the net foundation (HON) code. Also, the readability of the mentioned websites was evaluated by the use of four readability tools.Results: Most of the websites ranked by both Alexa and eBizMBA met the “Authority” and” Complementarity" criteria. When it comes to the readability of the 30 most visited health websites according to eBizMBA and Alexa analytics in the world, the analysis demonstrated that the readability of highly-ranked health websites was higher than the recommended level.Conclusion: Some of the websites had deficiencies according to the HONcode and JAMA criteria, and the average readability of the websites did not meet the gold standard. Despite the increasing use of the internet for medical information, these resources' poor quality and readability remain a barrier to informed decision-making of patients.

Design and Development of a PPM Control System for Aeroponic Lettuce Plant Nutrient Based on Microcontrollers and Internet of Things

In the current era, land for farming is increasingly decreasing because the population is so large that agricultural land is being converted into residential land. To enable people to continue farming, especially in urban areas, one of the existing solutions is to use the aeroponic method. In this research, the Internet of Things-based aeroponic lettuce plant nutrition control system found that the TDS sensor was able to maintain the stability of the ppm value of the solution (560-840) ppm according to the needs of the lettuce plant by triggering a peristaltic pump to actively fill the nutrient solution when the ppm value was detected below the set point. The DHT22 sensor is capable of detecting temperatures in the range of 27-33°C and humidity of 70% - 95%. The ultrasonic sensor in the system is used to measure the water level in the box. In this system, to regulate the level of the nutrient solution using a TDS sensor, an average reading value of 675.08 ppm was obtained. The duration of watering and the level of the nutrient solution are done automatically and can be monitored via smartphone so there is no need to check manually every day.

Need Analysis for Developing ELT Material for Early Childhood Education at UIN Alauddin Makassar

This research investigated the need of English that is Learning Needs and Linguistik Needs for Early Childhood Education Department at UIN AlauddinMakassar. This study involved 42 respondents which consists of 38 students, 1 lecturer, and 3 graduates Early Childhood Education Department at UIN AlauddinMakassar. In collecting the data, questionnaire and interview were employed by the researcher. The collection of the data was done by distributing the questionnaires to the participants to identify the students‟ needs in Early Childhood Education Department and interview guideline to find additional data. The findings indicated that the students' ability levels of all components of English (reading, writing, speaking, listening, grammar and vocabulary) are at the 'adequate' level. The order of students' preferences related to the English component is; Speaking and Vocabulary, which gained 3.35 of average score. level of other components of English, such as; Listening only reached 3.23 of average score, reading (3.22), writing and grammar (3.20). Meanwhile, the difficulties experienced by students while learning English were Inadequate knowledge of grammar (3.21). In addition, the most preferred learning style by students is film and video (3.24) and the most popular learning preference is speaking with a score of (3.20). This study also provides goals and objectives as a reference in designing and developing appropriate English language materials for Early Childhood Education.The goals that had been formulated are (1) to help students communicate effectively in English by developing students‟ English components and (2) to equip students to have a good basicfoundation in English which enables them to communicate everyday situations and topics. Besides, the formulated objectives are students able to use English components practically through topics related to the department with various learning preferences and styles.Objectives of this research;(1) This students are able to discuss,practice,andgive example about teaching reading for children using related vocabulary correctly.(2) The students are able to comprehend intermediate level reading materials related to children learning a foreign language and actively discuss it to their peers.(3) The students are able to practice teaching English with media using story book communicatively in small group.(4) The students are able to classify and explain about learning tools for early agr learners and conclude the topic in spoken and written English.(5) The students are able to understand and discuss clearly the way of teaching listening for children and give reason of how important to administer education.(6) The students are able to give clear presentation related to teaching English with media songs and practice with their listening.(7) The studentsare able to practice teaching English with media film cartoon in role play.(8) The students are able to participate actively in discussion related to the most appropriate English for early age lessons plans and give proper reason to their point of view.(9) The students are able to understand clear children development and characteristics and discuss their preferences towards the topic.

Students' reading comprehension level and reading demands in teacher education programs: the elephant in the room?

Reading comprehension is considered a key ability for students in teacher education programs. Data from 72 students enrolled in a Chilean school of education was used to estimate the contribution of reading proficiency in first-semester academic performance using regression analysis. Reading comprehension made a significant, albeit modest contribution to predict students' academic performance, after controlling for their scores in the standardized national admission tests and high-school grades. The students' average reading level was below the level of text complexity required in their first term and, although by their senior year they had made significant progress in reading comprehension, their reading level continued to be lower than text demands. A qualitative exploration of students' reading behaviors and attitudes revealed they devoted few hours per week to reading class material and even less time to reading for leisure. Faculty were cognizant of the reading deficits of their students but had few suggestions as to how to address. Future studies in higher education should confirm whether the misfit between reading proficiency and reading demands observed in this school of education is the exception or the rule.

(022) Utility of Artificial Intelligence in Patient Educational Materials for Men’s Sexual Health

Abstract Introduction ChatGPT is an artificial intelligence (AI) platform with expanding uses across society, including the solicitation of medical advice by patients. Traditionally, men’s health patients obtained educational information through the Urology Care Foundation (UCF) or institutional websites. Today, men are increasingly turning to social media and AI given improving technology and prevalent stigma surrounding sexual health issues. Previous studies have demonstrated the ability of ChatGPT to perform certain physician tasks, but studies of its patient-facing use are limited. Most online health educational information far exceeds the recommended American sixth grade reading level, as defined by the NIH and AMA. Hence, existing resources are largely inaccessible to large swaths of the population. In this study, we questioned whether AI holds may help improve the provision of health educational information for the public. Objective To conduct the first analysis of ChatGPT-created information regarding men’s sexual health conditions and provide statistical comparison with resources produced by UCF. Methods Frequently asked patient questions regarding erectile dysfunction, premature ejaculation, low testosterone, sperm retrieval, penile augmentation, and male infertility were compiled from the American Urological Association. Questions included definition of the condition, etiology, diagnostics, treatment, prognosis, and common patient concerns. Responses from UCF and ChatGPT were compared using the following validated readability formulas: Flesch Reading Ease, Flesch-Kincaid Grade Level, Gunning-Fog Index, Simple Measure of Gobbledygook, Coleman-Liau Index, and Automated Readability Index. Descriptive analysis of word count, sentence length, syllable count, and word complexity was also performed. Furthermore, adjusted ChatGPT (ChatGPT-a) responses were generated by prompting the language model with the command “Explain it to me like I am in sixth grade.” Finally, all responses were further graded by two independent reviewers for accuracy and comprehensiveness. Statistical comparisons were made using Welch’s unpaired t-test. Results Readability scores are presented in Table 1. UCF was significantly more readable than ChatGPT for all six sexual medicine topics across all scoring metrics (all p<0.001). FKGL was 8.87 for UCF versus 14.83 for ChatGPT. ChatGPT responses were longer (278.3 versus 222.9 words) and included more complex words (28.1% versus 14.3%). When prompted with a command for more accessible language (ChatGPT-a), responses approached the readability of UCF across all metrics, including an average Flesch Reading Ease of 54.8 and FKGL of 9.6. UCF and ChatGPT had equal quality and accuracy on qualitative analysis. Conclusions Men’s health information provided by ChatGPT is less accessible when compared to UCF, although both platforms exceed the recommended sixth grade level. Given its sensitive nature, sexual medicine information is increasingly sought out online. Our findings indicate that AI can simplify online information to accommodate an individual user’s health literacy, but improvement in the current platform is needed. Future iterations of ChatGPT may be adapted towards the provision of medical information and trained on evidence-based literature, hence improving both readability and quality. As AI grows, providers must study this new platform to better understand and assist their patients. Disclosure No.

Lake Water Quality Assessment Through GIS based Interpolation Method: A Case Study of Beris Dam, Kedah, Malaysia

Preliminary research on physicochemical and water quality in the Beris dam shows that the water catchment area has the best standards and quality during the observation of the wet season and dry season mainly in the northern states of peninsular Malaysia. The analysis of water quality assessment using the DOE-WQI and Carlson Trophic State Index (CTSI) resulted that during the dry season (February), the average DOE-WQI reading is 88 or Class II; while during the wet season, the average DOE-WQI reading recorded 87.1 (October). Although the CTSI score was 34.2 - 27.0 during wet season and dry season, both seasons were classified as oligotrophic conditions. Some physicochemical parameters also show a high correlation between them and indicates minor water quality issues. The use of more efficient interpolation techniques in water quality studies also reinforces the evaluation of water quality. As a reference point for future water research, GIS interpolation application methods can be more effectively and efficiently used with Inverse Distance Weighted (IDW), Ordinary Kriging and Spline techniques. HIGHLIGHTS Investigation of physicochemical and water quality in lake water in Beris Dam Assessment by using water quality index by DOE-WQI and Carlson Trophic State Index (CTSI) to acknowledge water quality and trophic condition. Analyzing physicochemical data into mathematical method to compare between physicochemical data and correlate between them. Application of GIS based interpolation methods to analyze and referencing physicochemical data into spatial interpolation maps. Comparing appropriate spatial interpolation techniques to analyze physicochemical observation data and index. GRAPHICAL ABSTRACT

Assessment of the readability of online orthodontic educational resources related to ‘orthodontic treatment’: A cross-sectional study

ObjectiveIn the digital age, the internet has become a primary source for patient education in orthodontics. However, the effectiveness of these online resources largely depends on their readability and comprehensibility. The main aim of our research was to assess the readability of the ten most popular websites dedicated to orthodontic treatment. Additionally, we aimed to ascertain the educational level required to comprehend the information provided on these websites. Materials and MethodsThe selection of the top 10 patient-centric English language websites was conducted through a search query for "orthodontic treatment" on the Google Chrome browser. The assessment of text readability was conducted by employing six different readability indices, The readability formulas website (https://readabilityformulas.com) was utilized as a resource for this purpose. ResultsThe researchers calculated the average Flesch Reading Ease index score to be 58.60, with a standard deviation of 10.17. According to GFI, these websites necessitate an average of 12.52 years of formal education, with a standard variation of 2.15, in order to aid understanding. The mean grade level was found to be 10.40, with a standard deviation of 1.90. ConclusionOur research indicates that internet resources are crucial in orthodontic education for Generation Z, serving as a platform for efficient learning, particularly during the COVID-19 pandemic in creating a general knowledge a level of moderate-complexity. Orthodontic professionals and website developers should be encouraged to consider the readability of their content to ensure it meets the needs of a diverse patient population. However, the utilization of internet information should not be regarded as a comprehensive replacement for a comprehensive treatment process.

Analysis of Internet-Based Written Materials on Surgery for Obstructive Sleep Apnea.

Obstructive sleep apnea (OSA) has many treatment options and the Internet is an important resource for patients. The quality of information reviewed by patients about sleep surgery is unknown. We assessed readability, accessibility, actionability, and quality of online content for OSA surgeries. Review of webpages by 2 independent reviewers. Internet-based search. We queried Google for sleep apnea surgery and included top 100 English language webpages. Content was scored by 2 reviewers using the Flesch-Kincaid (FK), Simple Measure of Gobbledygook (SMOG), JAMA benchmarks, CDC Clear Communication Index (CCI), and Patient Education Materials Assessment Tool (PEMAT) understandability and actionability scores. Eighty-sevenwebpages were evaluated including 40 hosted by academic hospitals, 23 private practices, 10 general knowledge, 4 national organizations, 3 industry, 3 non-profit hospitals, and 2 government-sponsored. Mean CCI ranged from 22.7% to 84.9%. No sources met the 90% CCI cutoff. Average PEMAT understandability score was 80.4% (±7.8; 62.5%-93.3%), with 91% meeting the 70% standard score. Average PEMAT-actionability score was 38.4% (±16.5; 0%-70%), with 5% meeting the standard score. The average readability of webpages was the 10th grade reading level. Only 5% of pages met the recommended 6thgrade reading level or lower. Only 21% of pages addressed surgical risks. Most online resources regarding OSA surgery do not meet recommended standards for communication. Providers should be aware of limitations of materials when counseling patients on sleep surgery treatments. Future patient education resources should meet health communication and readability standards.

Validation of ChatGPT 3.5 as a Tool to Optimize Readability of Patient-facing Craniofacial Education Materials.

To address patient health literacy, the American Medical Association recommends that readability of patient education materials should not exceed a sixth grade reading level; the National Institutes of Health recommend no greater than an eigth-grade reading level. However, patient-facing materials in plastic surgery often remain at an above-recommended average reading level. The purpose of this study was to evaluate ChatGPT 3.5 as a tool for optimizing patient-facing craniofacial education materials. Eighteen patient-facing craniofacial education materials were evaluated for readability by a traditional calculator and ChatGPT 3.5. The resulting scores were compared. The original excerpts were then inputted to ChatGPT 3.5 and simplified by the artificial intelligence tool. The simplified excerpts were scored by the calculators. The difference in scores for the original excerpts between the online calculator and ChatGPT 3.5 were not significant (P = 0.441). Additionally, the simplified excerpts' scores were significantly lower than the originals (P < 0.001), and the mean of the simplified excerpts was 7.78, less than the maximum recommended 8. The use of ChatGPT 3.5 for simplification and readability analysis of patient-facing craniofacial materials is efficient and may help facilitate the conveyance of important health information. ChatGPT 3.5 rendered readability scores comparable to traditional readability calculators, in addition to excerpt-specific feedback. It was also able to simplify materials to the recommended grade levels. With human oversight, we validate this tool for readability analysis and simplification.

The The Influence of Knowledge and Risk Perception on Food Label Reading Behavior among Adolescents in Rural and Urban Areas of Bogor

Reading food labels is one way consumers learn about the products they buy. This study determined the influence of knowledge and risk perception on food label reading behavior among adolescents in rural and urban Bogor. This study had a cross-sectional design. Purposive sampling was used to gather 132 participants, including 66 adolescents in rural areas and 66 adolescents in urban areas. The results showed that more than half of the participants had moderate knowledge of food labeling. The knowledge of the rural and urban samples was the same. Operational risk was the most perceived risk for both the rural and urban samples. There were no significant differences in all dimensions of risk perception between rural and urban youths. The average food label reading behavior score in rural areas was higher than that in urban areas. Psychological risk perception influences food label-reading behavior in rural areas. Overall, functional risk perception influenced food label-reading behavior. Based on these results, it is necessary to increase education on the importance of food labels to build good risk perception so that food label reading behavior increases.

Concurrent predictors of mathematics achievement for 9-year-old children with Williams syndrome

Research on mathematics achievement by children with Williams syndrome (WS) has been very limited. We describe the math achievement of 72 9-year-olds with WS, compare their math and reading achievement, and explore concurrent predictors of math achievement using the Wechsler Individual Achievement Test-III (WIAT-III) to measure achievement and the Differential Ability Scales-II (DAS-II) to measure cognitive abilities. For both Numerical Operations and Math Problem Solving, mean standard scores (SSs) were in the mild disability range with a full range from severe disability to average ability. Bayesian robust estimation indicated decisive evidence that average reading performance was higher than average math performance. Bayesian multiple linear regression models with informative priors accounted for 60% of the variance in Numerical Operations SS with decisive evidence supporting an effect of Working Memory SS and strong evidence for Nonverbal Reasoning SS and Spatial SS and 71% of the variance in Math Problem Solving SS with decisive evidence supporting effects of Working Memory and Nonverbal Reasoning SS, strong evidence for Verbal SS, and substantial evidence for Spatial SS. These predictors are consistent with those for typically developing individuals, supporting consideration of interventions that have been highly effective for children with math difficulties in the general population.

Literacy-related factors and knowledge of patient rights charter: evidence from nurses in selected hospitals in Ghana.

Systems of across the world have developed and implemented patient rights policies to protect and improve the provider-patient relationship. The Patient Charter of Ghana was developed in 2002 to improve service quality and protect patients' rights. However, it is not yet known whether those at the frontline of healthcare delivery can read and understand the contents of the charter. While studies have explored the socioeconomic and institutional level factors related to awareness and knowledge of the Patient Rights Charter, there is a lack of literature on its readability and comprehensibility among nurses. This study assesses nurses' knowledge of the Patient Rights Charter and associated literacy-related factors. An exploratory cross-sectional design and quantitative methods were used to collect data on knowledge, comprehension, and readability of the Patient Rights Charter. 205 nurses from four district hospitals in the Central Region were recruited using proportional and total enumeration sampling. Data were collected using structured questionnaires and were processed using SPSS (version 26) and an online text readability consensus calculator (version 2.0). Descriptive and inferential statistical analyses were performed, and data were presented using simple frequencies, readability statistics, and regression output. The results show the charter is written at a higher reading grade level; Flesch-Kincaid Grade Level (13.36), Simple Measure of Gobbledygook (11.57), and Coleman-Liau Readability Index (14.2). The average reading grade level score was 14. The Gunning Fox Index (15.40) and the Flesch Reading Ease Score (34%) show the patient charter is difficult to read and will require at least 14 years of education to be able to read. 87.3% of nurses were able to read and comprehend the charter. Very few (8.3%) read at frustration level. Nurses' actual comprehension of the charter was the only significant predictor of knowledge of the charter. Comprehension of the patient charter is an important predictor of its knowledge. The results emphasize the need to enhance the readability and comprehensibility of the charter for providers. Hospitals can stimulate nurses' knowledge of the charter by simplifying the charter's language and deliberately educating nurses on its content.

Assessment of Quality and Readability of Information Provided by ChatGPT in Relation to Anterior Cruciate Ligament Injury.

The aim of our study was to evaluate the potential role of Artificial Intelligence tools like ChatGPT in patient education. To do this, we assessed both the quality and readability of information provided by ChatGPT 3.5 and 4 in relation to Anterior Cruciate Ligament (ACL) injury and treatment. ChatGPT 3.5 and 4 were used to answer common patient queries relating to ACL injuries and treatment. The quality of the information was assessed using the DISCERN criteria. Readability was assessed with the use of seven readability formulae: the Flesch-Kincaid Reading Grade Level, the Flesch Reading Ease Score, the Raygor Estimate, the SMOG, the Fry, the FORCAST, and the Gunning Fog. The mean reading grade level (RGL) was compared with the recommended 8th-grade reading level, the mean RGL among adults in America. The perceived quality and mean RGL of answers given by both ChatGPT 3.5 and 4 was also compared. Both ChatGPT 3.5 and 4 yielded DISCERN scores suggesting "good" quality of information, with ChatGPT 4 slightly outperforming 3.5. However, readability levels for both versions significantly exceeded the average 8th-grade reading level for American patients. ChatGPT 3.5 had a mean RGL of 18.08, while the mean RGL of ChatGPT 4 was 17.9, exceeding the average American reading grade level by 10.08 grade levels and 9.09 grade levels, respectively. While ChatGPT can provide both reliable and good quality information on ACL injuries and treatment options, the readability of the content may limit its utility. Additionally, the consistent lack of source citation represents a significant area of concern for patients and clinicians alike. If AI is to play a role in patient education, it must reliably produce information which is accurate, easily comprehensible, and clearly sourced.

Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study.

Regular physical activity is critical for health and disease prevention. Yet, health care providers and patients face barriers to implement evidence-based lifestyle recommendations. The potential to augment care with the increased availability of artificial intelligence (AI) technologies is limitless; however, the suitability of AI-generated exercise recommendations has yet to be explored. The purpose of this study was to assess the comprehensiveness, accuracy, and readability of individualized exercise recommendations generated by a novel AI chatbot. A coding scheme was developed to score AI-generated exercise recommendations across ten categories informed by gold-standard exercise recommendations, including (1) health condition-specific benefits of exercise, (2) exercise preparticipation health screening, (3) frequency, (4) intensity, (5) time, (6) type, (7) volume, (8) progression, (9) special considerations, and (10) references to the primary literature. The AI chatbot was prompted to provide individualized exercise recommendations for 26 clinical populations using an open-source application programming interface. Two independent reviewers coded AI-generated content for each category and calculated comprehensiveness (%) and factual accuracy (%) on a scale of 0%-100%. Readability was assessed using the Flesch-Kincaid formula. Qualitative analysis identified and categorized themes from AI-generated output. AI-generated exercise recommendations were 41.2% (107/260) comprehensive and 90.7% (146/161) accurate, with the majority (8/15, 53%) of inaccuracy related to the need for exercise preparticipation medical clearance. Average readability level of AI-generated exercise recommendations was at the college level (mean 13.7, SD 1.7), with an average Flesch reading ease score of 31.1 (SD 7.7). Several recurring themes and observations of AI-generated output included concern for liability and safety, preference for aerobic exercise, and potential bias and direct discrimination against certain age-based populations and individuals with disabilities. There were notable gaps in the comprehensiveness, accuracy, and readability of AI-generated exercise recommendations. Exercise and health care professionals should be aware of these limitations when using and endorsing AI-based technologies as a tool to support lifestyle change involving exercise.

Water Quality Assessment and Decolourisation of Contaminated Ex-Mining Lake Water Using Bioreactor Dye-Eating Fungus (BioDeF) System: A Real Case Study.

The environmental conditions of a lake are influenced by its type and various environmental forces such as water temperature, nutrients content, and longitude and latitude to which it is exposed. Due to population growth and development limits, former mining lakes are being converted to more lucrative land uses like those of recreational zones, agriculture, and livestock. The fungus Ganoderma lucidum has the potential to be utilised as a substitute or to perform synergistic bacteria-coupled functions in efficient contaminated lake water treatment. The purpose of this paper is to evaluate the water quality and water quality index (WQI) of an ex-mining lake named Main Lake in the Paya Indah Wetland, Selangor. Furthermore, the current work simulates the use of a Malaysian fungus in decolourising the contaminated ex-mining lake by the BioDeF system in a 300 mL jar inoculated with 10% (v/v) of pre-grown Ganoderma lucidum pellets for 48 h. According to the results, the lake water is low in pH (5.49 ± 0.1 on average), of a highly intense dark brownish colour (average reading of 874.67 ± 3.7 TCU), and high in iron (Fe) content (3.2422 ± 0.2533 mg/L). The water quality index of the lake was between 54.59 and 57.44, with an average value of 56.45; thus, the water was categorized as Class III, i.e., under-polluted water, according to the Malaysian Department of Environment Water Quality Index (DOE-WQI, DOE 2020). The batch bioreactor BioDeF system significantly reduced more than 90% of the water's colour. The utilization of Ganoderma lucidum as an adsorbent material offers a variety of advantages, as it is easily available and cultivated, and it is not toxic.

Improving Students' Reading Comprehension of Narrative Text Through Problem Based Learning

This research was conducted to improve students' reading comprehension of English narrative texts through problem-based learning at SMAN 5 Tasikmalaya Class X in the 2022/2023 academic year. This research is concerned with how using problem-based learning can improve students' reading comprehension of narrative texts. This research uses classroom action research. This is carried out in two cycles. Data can be classified into qualitative and quantitative. Qualitative data was analyzed using observation and interviews. Quantitative data was analyzed using students' pretest and posttest scores. Based on qualitative data, this research found that the use of problem-based learning can effectively improve students' reading comprehension. Students can obtain information from the text well. The reading text provided can make students feel interested and can improve their ability to analyze the text. As a result, they perform better understanding. The findings of this research are also supported by the results of the average student reading comprehension score which increased well from 68 in cycle I to 80 in cycle II. In short, the use of problem-based learning can improve students' reading comprehension of narrative texts.

Potential Usefulness a Coronal View using an Automated Breast Ultrasound System in Detecting Breast Lesions.

An automated breast ultrasound system (ABUS) combined with screening mammography has increased cancer detection rates; however, supplemental ABUS use has increased recall rates. In this study, we aimed to identify an accurate and efficient method of ABUS interpretation and evaluate the potential usefulness of its coronal view versus the conventional transverse view. This retrospective observer study included comprised 114 ABUS cases (40 normal, 35 benign, 39 malignant). Ten physicians from multiple institutions interpreted the anonymized coronal and transverse views independently. The observers scored their confidence in the lesion detection for each case using a continuous scale and recorded reading times for each coronal and transverse view interpretation. Free-response receiver operating characteristic analysis was employed to compare detection accuracies between views; a paired t-test was used to compare the average reading times. Detection accuracy did not differ significantly between the coronal and transverse views (figure of merit=0.740 and 0.745, respectively; p = 0.72). However, the average reading time for the coronal view was significantly shorter than that for the transverse view (149.7 vs. 200.3 seconds per case, p = 0.003). The coronal view obtained with the ABUS was useful for interpretation and associated with significantly shorter reading times compared with the conventional transverse view while maintaining breast lesion detection accuracy.

Boosting Preservice EFL Teachers' Reading Skills via Visual Media

This study investigates the efficacy of metacognitive reading strategies, supplemented with visual media, in improving English reading comprehension abilities among pre-service English as a Foreign Language (EFL) educators. The study intends to enhance reading comprehension test performance by employing a quasi-experimental design that includes pre-test, intervention, and post-test phases. The study included a total of 102 preservice EFL teachers who were currently engaged in a course focused on communicative language learning in an English pedagogy undergraduate program. The intervention consisted of utilizing metacognitive methods in conjunction with visual media. The effectiveness of this approach was assessed through the administration of a widely recognized Reading Comprehension Test (RCT), a Metacognitive Strategy Questionnaire (MSQ), and supplementary visual media. The results demonstrate a substantial improvement in average reading comprehension scores, increasing from 0.5 to 0.72 after the intervention. The study utilized a mixed-methods approach, including questionnaires and interviews to collect qualitative data on students' assessments of the intervention's efficacy. The findings indicate that students consider the metacognitive strategies to be useful at all stages of reading, including pre, while, and post reading. The incorporation of visual media, such as videos and infographics, played a crucial role in promoting metacognitive knowledge, monitoring, and control strategies. This study emphasizes the potential of integrating metacognitive strategies with visual media to greatly improve reading comprehension skills in English as a Foreign Language (EFL) settings.

Plasmid‐Mediated Co‐Occurrence of mcr-1.1 in Extended‐Spectrum β‐Lactamase (ESBL)‐Producing Escherichia coli Isolated From the Indigenous Seminomadic Community in Malaysia

The growing prevalence of commensal antibiotic resistant Escherichia coli poses a significant concern for the global spread of antibiotic resistance. Stool samples (n = 35) from a seminomadic indigenous community in Malaysia, the Jehai, were screened for multidrug‐resistant bacteria, specifically the extended‐spectrum β‐lactamase (ESBL) producers. Subsequently, whole‐genome sequencing was used to provide genomic insights into eight ESBL‐producing E. coli that colonised eight individuals. The ESBL E. coli isolates carry resistance genes from various antibiotic classes such as the β‐lactams (blaTEM, blaCTX-M−15 and blaCTX-M−55), quinolones (gyrA, qnrS and qnrS1) and aminoglycosides (aph(3′)-Ia, aph(6)-Id and aac(3)-IId). Three concerning convergence of ESBL, colistin and metal resistance determinants, with three plasmids from H‐type lineage harbouring blaCTX-M and mcr-1.1 genes were identified. Using the Oxford Nanopore Technology (ONT) Native Barcoding Kit (SQK‐NBD114.24) in conjunction with the R10.4.1 flow cell, which achieved an average read accuracy (Q &gt; 10) of 99.84%, we further characterised the mcr-1.1‐bearing plasmids, ranging in size from 25 to 28 kb, from three strains of E. coli. This report represents the first whole genome analysis of multidrug‐resistant bacteria, specifically those resistant to colistin, found within the indigenous population in Malaysia. It strongly indicates that the pertinent issue of colistin resistance in the country is far more significant than previously estimated.

Measurement of Motor Vehicle Emissions Based on Low-cost Sensors

One of Indonesia's primary causes of air pollution is the significant level of human activity, particularly the continued use of fossil-fuel-powered vehicles. The incomplete combustion of fossil fuels can lead to gas and particle pollutants forming, impacting the environment. However, the instruments utilized for detecting environmental pollutants are relatively expensive. Therefore, motor vehicle emission tests use low-cost sensors with parameters such as CO, CO2, NO2, PM2.5, temperature, and RH. The flow rate measures the emission gas flow extracted from a vehicle's exhaust into the testing chamber and then released into the air for disposal. The flow rate utilized in these tests ranges from 12 to 15 lpm. The tests are conducted over 10 minutes to ensure accuracy, obtaining average readings for the measured parameters. For the measurement results using a low-cost sensor, the average value for CO is 383.891 ppm, NO2 is 10.7237 ppm, CO2 is 5,254 ppm, PM2.5 is 50.25 ?g/m3, temperature and RH is 28.9 °C and 76%. The official test results obtained a CO value of 1,200 ppm, CO2 of 140,000 ppm, and a temperature of 80 °C. This difference is because the reading range of low-cost sensors is relatively small but has a stable data trend.