Likert Rating Scale Research Articles

Exploration of Jlamprang Batik Motifs using Digital Printing Techniques to Apply Please on Men's Shirt

This research aims to find out 1) the development of the jlamprang batik motif, 2) the application and placement of pleats on men's shirts with the jlamprang batik motif, and 3) the finished results of the exploration of the jlamprang batik motif using digital printing techniques to apply pleats to men's shirts. This type of research is quantitative descriptive. Data collection is carried out using questionnaires or questionnaires. The instrument scale used is the Likert scale rating. The data analysis technique used is average value. This research resulted in a description of the process of developing the jlamprang batik motif, the application and placement of pleats on men's shirts with jlamprang batik motifs, the result was an exploration of the jlamprang batik motif using digital printing techniques to apply pleats to men's shirts.

The Effects of the Complexity of 3D Virtual Objects on Visual Working Memory Capacity in AR Interface for Mobile Phones

The current study aims to investigate the effects of 3D virtual object complexity on visual working memory capacity in mobile augmented reality (MAR) interfaces. With the popularity of augmented reality technology in mobile applications, 3D virtual elements play a key role in interaction. However, prior studies ignored the correlation between virtual object presentation and visual working memory (VWM). Given that visual working memory capacity is closely related to overall cognitive ability, the current study explored the relationship between the complexity of 3D virtual objects and VWM capacity in AR interfaces. Sixty volunteers participated in a 5-point Likert scale rating to eliminate the interference factors of familiarity, concreteness and similarity in 3D virtual material objects. Then, we further conducted an MAR change detection paradigm experiment and successfully manipulated the complexity of 3D virtual objects and the set size. Thirty-one subjects completed the formal experiment. Three measurements (reaction time, proportion correct, and Cowan’s K) were analyzed for nine experimental conditions (three object complexity levels and three object set sizes). The results confirmed that the visual working memory capacity in mobile AR interfaces is modulated by the complexity of the 3D virtual objects and set size, which decreases with the increase in complexity and set size of the displayed 3D virtual objects. As the complexity of the 3D virtual objects increases, the amount of resources allocated to each item decreases, resulting in a decrease in memory capacity and memory accuracy. This study highlights the effectiveness of VWM capacity in MAR interface design research and provides valuable insights into determining the best way to present 3D virtual objects.

Using virtual fieldwork to support interprofessional and community-based learning: students from four faculties investigate life on a remote island in Japan

IntroductionThe Mishima Islands in Kagoshima Prefecture, Japan, are remote islands designated as medically underserved. Supporting the people living in such remote islands requires a multifaceted examination of the livelihoods of the residents, including their health, work, and living environment.MethodsStudents from the faculties of nursing, veterinary science, agriculture, and engineering participated in a 3-day virtual fieldwork session held synchronously from the campus of Kagoshima University and on a remote island in the Mishima Mura island group in Kagoshima Prefecture, Japan. Coursework and post-course surveys were analyzed to determine student engagement and learning. In particular, the analysis considered learning in relation to interprofessional learning and community-based learning.Results and discussionStudents expressed being able to conduct fieldwork online, collaborate with students from multiple faculties and graduate schools, and apply their expertise. These outcomes were reflected in the five-point Likert scale evaluation responses, highlighting a sense of accomplishment and satisfaction. Virtual fieldwork can contribute to student learning by introducing new concepts and allowing them to consider development issues in remote areas from multiple perspectives.

Insect pests of dried yam (Dioscorea sp.) chips and the perception of processors and marketers on their control

This survey was aimed at understanding the perception of Dried yam chips (DYC) Processors and Marketers on insect pests' infestation of DYC and their damage through the use of structured questionnaires. Data on socio-economic characteristics and technical information were analyzed using descriptive statistics such as frequency distribution, percentages, and means. Data on the perception of insect pests and measures of pest control were placed on a 3-point Likert Rating Scale (LRS). Analysis of variance (ANOVA) was done on the population density of the identified insects and significant mean values were compared using Fisher's Least Significant Difference. Seven insect pests; Prostephanus truncatus, Rhyzopertha dominica, Tribolium castaneum, Stegobium paniceum, Heterobostrychus aequalis, Sitophilus zeamais, Areacerus fasciculatus, and one natural enemy; Peregrinator biannulipes were associated with DYC. However, P. truncatus, R. dominica, and A. fasciculatus were the most prevalent insect pests, causing significant damage to DYC. Approximately, 49% of processors reportedly control insect infestation in DYC using conventional insecticides, 23% by re-drying, 14% by botanicals, and the others by removing affected DYC. These findings provide useful information for extension workers involved in community education, and intervention programs by government or non-governmental organizations including public health experts and researchers.

Assessing awareness of IoT-driven strategies for poultry management in mitigating increased ambient heat in Enugu, Nigeria

The study examined awareness level of Internet of Things (IoT)-driven strategies in mitigating impacts of increased ambient heat load in poultry pens by poultry farmers in a smart city like Enugu, Nigeria. With the rising challenges of climate change, increased ambient heat load within poultry pens poses a significant threat to poultry production. Understanding farmers’ perception of impact of increased ambient heat load and their awareness of IoT-driven strategies for its mitigation is crucial for sustainable poultry system management in smart cities. Multi-stage random sampling technique was used to select 240 poultry farmers from the three Local Government Areas that make up Enugu City. A structured questionnaire was used to collect data from the respondents. Descriptive statistics and Likert rating scale were used to analyze the data. The study identified socio-demographic factors influencing farmers’ perception of impact of increased heat load and awareness/ adoption of IoT-driven mitigation strategies. Education level (45% secondary education), access to information (29.2%) and financial resources (22.9%) were key determinants. The findings revealed varying levels of awareness among poultry farmers regarding IoT-driven strategies while the constraints faced by farmers in implementing sustainable IoT-driven mitigation strategies included lack of awareness, lack of funding/high initial investment, limited access to technology, inadequate training, poor extension contact, water availability and climate variability. The study concluded that majority of poultry farmers shared similar perceptions about the impact of increased ambient heat load on poultry species but however were not aware of many of the IoT-driven strategies to mitigate the impact and were limited by a number of constraints or challenges to adopting IoT-driven mitigation strategies which altogether could improve poultry production system and help to achieve animal protein security in a smart city like Enugu, Nigeria. The study further recommended enlightenment of poultry farmers on the impact of increased ambient heat load on poultry species and available/sustainable/harmonized IoT-enabled guidelines or solutions to mitigate heat load in smart cities’ poultry production system.

Unveiling the influence of pedagogical content knowledge in questioning on college students’ conceptual learning of introductory physics

Learning assistants (LAs) play a pivotal role in transforming traditional physics instruction toward a more inquiry-oriented approach. While empirical evidence supports the effectiveness of LA-involved physics instruction, there is a research gap regarding the specific competencies of LAs that contribute to improved conceptual understanding. One conjectured reason is LAs’ inquiry-oriented pedagogical skills, like questioning, which engender more effective interactions with students at points of instructional needs. This study addresses the gap by constructing a model delineating the contribution of LAs’ competencies of questioning, referred to as pedagogical content knowledge in questioning (PCK-Q), to students’ conceptual learning in introductory classical mechanics and electromagnetism. The participants included an instructional team comprising instructors, graduate teaching assistants, and LAs, and students from two sections over two semesters. PCK-Q was measured using a prevalidated instrument of free-response questions from our previous study, which could predict LAs’ questioning practices. Employing a pre-post design, students’ learning gain in conceptual understanding and critical thinking was assessed, and separate models were constructed to explore the relationship between LAs’ PCK-Q and students’ learning gain. Findings suggest that LAs’ PCK-Q has a significant but slight impact on students’ conceptual learning, with little impact on critical thinking. Furthermore, we developed Likert-scale questions, derived equations to quantify PCK-Q from Likert-scale ratings, verified the feasibility of this streamlined approach in measuring LAs’ PCK-Q, and discussed its limitations. The implications of the research findings are discussed in the context of physics instruction and LA preparation. Published by the American Physical Society 2024

Usability, Engagement, and Report Usefulness of Chatbot-Based Family Health History Data Collection: Mixed Methods Analysis.

Family health history (FHx) is an important predictor of a person's genetic risk but is not collected by many adults in the United States. This study aims to test and compare the usability, engagement, and report usefulness of 2 web-based methods to collect FHx. This mixed methods study compared FHx data collection using a flow-based chatbot (KIT; the curious interactive test) and a form-based method. KIT's design was optimized to reduce user burden. We recruited and randomized individuals from 2 crowdsourced platforms to 1 of the 2 FHx methods. All participants were asked to complete a questionnaire to assess the method's usability, the usefulness of a report summarizing their experience, user-desired chatbot enhancements, and general user experience. Engagement was studied using log data collected by the methods. We used qualitative findings from analyzing free-text comments to supplement the primary quantitative results. Participants randomized to KIT reported higher usability than those randomized to the form, with a mean System Usability Scale score of 80.2 versus 61.9 (P<.001), respectively. The engagement analysis reflected design differences in the onboarding process. KIT users spent less time entering FHx information and reported more conditions than form users (mean 5.90 vs 7.97 min; P=.04; and mean 7.8 vs 10.1 conditions; P=.04). Both KIT and form users somewhat agreed that the report was useful (Likert scale ratings of 4.08 and 4.29, respectively). Among desired enhancements, personalization was the highest-rated feature (188/205, 91.7% rated medium- to high-priority). Qualitative analyses revealed positive and negative characteristics of both KIT and the form-based method. Among respondents randomized to KIT, most indicated it was easy to use and navigate and that they could respond to and understand user prompts. Negative comments addressed KIT's personality, conversational pace, and ability to manage errors. For KIT and form respondents, qualitative results revealed common themes, including a desire for more information about conditions and a mutual appreciation for the multiple-choice button response format. Respondents also said they wanted to report health information beyond KIT's prompts (eg, personal health history) and for KIT to provide more personalized responses. We showed that KIT provided a usable way to collect FHx. We also identified design considerations to improve chatbot-based FHx data collection: First, the final report summarizing the FHx collection experience should be enhanced to provide more value for patients. Second, the onboarding chatbot prompt may impact data quality and should be carefully considered. Finally, we highlighted several areas that could be improved by moving from a flow-based chatbot to a large language model implementation strategy.

The Role of Sustainable Tourism in Enhancing Cultural Heritage Preservation: In-depth Analysis

Sustainable tourism is essential to improving the preservation of cultural property since it encourages ethical travel, helps local communities, and raises money for conservation initiatives. It guarantees the preservation of cultural treasures for future generations while promoting awareness and appreciation of them. In this paper, the relationship between sustainable tourism practice, environmental policies, tourist education, community involvement, tourism revenue allocation, and cultural heritage preservation were evaluated using structural equation modeling (SEM) analysis. Five hypotheses were developed and the dataset includes 232 respondents. A systematic questionnaire with a Likert scale rating was used to evaluate the data. As a result, latent construct validity and reliability were examined, and the structural model evaluated the connections between the constructs in the context of the suggested hypotheses. The structural model revealed that EP, STP, and TE are positively connected to the CHP, providing support for hypothesis 1: Cultural Heritage Preservation and Sustainable Tourism Practice (CHP→STP) and 3:Cultural Heritage Preservation and Environmental Policies (CHP→EP) are well supported and show no significant changes to enhancing heritage preservation.

Exploring Innovative Approaches to Managing Cultural Heritage for Economic Benefit

Cultural heritage management is essential for protecting the historical and cultural significance of sites while contributing to economic growth. This study's objective is to ascertain and evaluate modern management techniques for heritage sites that maximize economic benefits while ensuring sustainable protection. It seeks to discover methods that effectively stabilize heritage conservation with economic development goals. This study investigates the relationship between Economic benefits, Cultural preservation, Public Engagement, Community Impact, Sustainability of Management Practices, and Innovative approaches to managing cultural heritage utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM). A systematic questionnaire with a Likert scale rating was used to collect data from 450 populations. The measurement model assessed the validity and reliability of latent constructs, while the structural model analyzed the relationship between constructs based on the proposed hypotheses. The structural model revealed that EB, CP, and SMP are positively connected to the IMCH, between cultural heritages for economic benefit. (β = 0.55,0.50,and 0.56,p &lt; 0.05), providing well support for hypothesis 1, 2, and 5. The result shows there are no significant changes to managing cultural heritage for economic benefit.

Examining the Evolution of Digital Innovation and Its Impact on Organizational Growth

Organizational operations have been modified by using the rise of digital innovation, which has increased consumer interaction, accelerated efficiency, and stimulated overall growth. But obstacles like converting organizational adoption charges and a quickly evolving era would possibly make it more difficult to generalize effects across of different sectors and ancient intervals. To overcome these constraints, a thorough examination of the impact of digital innovation on organizational growth is carried out in this study. This study investigates the connection among Digital infrastructure (DI), Digital Innovation practices (DIP), Adoption of advanced digital technologies (ADT), Leadership support (LS), Organizational growth (OG), and Employee digital capabilities (EDS) utilizing Structural Equation Modeling (SEM) and CFA test. SEM is used to evaluate the causal pathways between constructs and the connections between latent variables and their indicators. CFA is a method used to validate the dimension model by examining the relationships between observed indicators and their underlying constructs. A systematic questionnaire with a Likert scale rating was used to collect data from 600 populations. The measurement model assessed the validity and reliability of latent constructs, while the structural model analyzed the relationship between constructs based on the proposed hypotheses. The structural model revealed that DI, LS, and ADT are positively connected to the DTP, and OG, between digital innovations on organizational growth. (β = 0.58,0.54,0.60 and 0.62,p &lt; 0.05), providing well support for hypotheses 1, 2, 4, and 5. The SEM and CFA confirm the robustness of these relationships. The findings underscore the critical role of digital infrastructure and leadership in driving effective digital practices and fostering growth.

An Australian Community-Based Metabolic Dysfunction-Associated Steatotic Liver Disease Care Pathway for People with Type 2 Diabetes: Barriers and Considerations.

Although clinical guidelines endorse screening for metabolic dysfunction-associated steatotic liver disease (MASLD) with advanced fibrosis in people with type 2 diabetes (T2D), the feasibility of and barriers and considerations relevant to implementing this approach in the community remain unclear. Sequential adults with T2D attending selected community clinics during 2021-2023 were invited to receive a "liver health check" (n=543). A further 95 participants were referred directly from their general practitioner (GP) or self-referred to the study. A total of 302 participants underwent a point of care assessment of hepatic steatosis and stiffness (FibroScan) and were advised to see their GP to discuss the results. "Template" letters containing key results, their interpretation and advice about management of cardiometabolic risk, patient follow-up and referral criteria, were sent to participants' GPs. Referral to a tertiary liver clinic was advised in GP letters for 45 (15%) participants with an increased risk of clinically significant fibrosis (liver stiffness measurement ≥8), 15 participants with 'red flags' (eg splenomegaly, thrombocytopenia) and 2 with unsuccessful FibroScan examinations. A referral from GPs to the liver clinic was received for 27 (44%) of these 62 participants. Approximately 90% of GPs rated the "template" letters favourably on a Likert rating scale. The low rate of participation in the "liver health check" and liver clinic referral reflects a real-world scenario and may stem from societal under-recognition and engagement with MASLD, competing health priorities or under-appreciation of the link between liver fibrosis severity and mortality risk. Further studies need to address strategies to enhance participation in liver health assessments and determine their impact on liver-related morbidity/mortality and overall survival.

The Correlation between Java Programming and BSICT Graduate Attributes of Information Technology Students at Surigao del Norte State University

This study examines the relationship between graduate attributes of 150 Bachelor of Science in Information Technology (BSIT) students and Java programming. The study focuses on graduate-level skills like problem-solving abilities, communication, and problem analysis in relation to Java programming elements like classes, file handling, and methods. A 5-point Likert scale rating is incorporated into the survey questionnaire design in order to quantitatively evaluate the responses. The study makes use of the Jamovi application as a statistical spreadsheet. The outcome shows a good relationship between the characteristics of BSIT graduates, such as communication, problem-solving skills, and problem analysis, and Java programming elements like classes, file handling, and methods. Additionally, some BSIT students find it difficult to use complicated methods, indicating the necessity for instructional strategies, practical projects, assessments, and peer programming exercises.

Assessment of factors influencing fuelwood utilization in Makurdi metropolis, Benue state, Nigeria

The study was conducted to assess the factors influencing the utilization of fuelwood in Makurdi metropolis due to the paucity of information on the factors in the area. Simple random sampling technique was used to select 125 people in 25 houses from five locations in the study area. Data for the study was obtained through a semi-structured questionnaire, interview, and personal observation. Field data was analyzed using descriptive, Likert scale rating and regression models. Results of analysis of field data show that seven tree species were utilized for fuelwood in the study area with Prosopis africana (34%) being the most preferred fuelwood spp utilized while Burkia africana (2.1%) was the least utilized fuelwood spp. The Multilinear regression model was selected as the best-fit model in explaining the factors influencing fuelwood utilization in the study area based on its high r2 value and low standard error estimated compared to the other three regression models. None of the socioeconomic variables investigated had a significant influence on fuelwood utilization (P &gt; 0.05). However, age, income, family size, unit price, and availability of the commodity positively influence fuelwood utilization in the study area. The socioeconomic factors were able to explain 67% of the variation in fuelwood utilization in Makurdi Metropolis. Fuelwood is highly utilized in the area. Therefore, the conservation of the preferred fuelwood tree species in community forests and agroforestry practices should be encouraged by the Government, Non-governmental organizations (NGOs), and private individuals to enhance the sustainability of the resource.

Perceptions of Prospective Physics Teachers on the Application of Statistics in Education

The Application of Statistics in Education (ASE) course is one of the courses attended by pre-service physics teachers to enable them deal with research data using statistical analysis. This study aims to analyse students' perceptions of the ASE material prior to attending the lectures. The research method employed is descriptive quantitative. The research sample consists of 37 students in the Physics Education study program who are taking the ASE course. Data were collected through the Student Perception towards Statistics Questionnaire (SPSQ) instrument, which comprises 40 statements with four Likert scale rating criteria: Strongly Agree, Agree, Disagree, and Strongly Disagree. The data were analysed using Rasch modeling, specifically Wright Map Analysis, to map participant perceptions, while the percentage agreement of participants was analysed based on four aspects of the SPSQ questionnaire. The results of the average percentage analysis of participants’ agreement for each aspect are: (1) attitude towards Statistics at 97.3%, categorized as very good, (2) the importance of Statistics in daily life and profession at 97.3%, categorized as very good, (3) the ability to process statistical data using data analytics tools at 37.84%, categorized as poor, and (4) the ability to apply Statistics in education at 8.8%, categorized as very poor. Furthermore, the Wright Map Analysis indicates that all participants had a favorable attitude and were eager to learn more about how statistics are implemented in education. They agreed that it is critical to master and be able to apply advanced statistics techniques in educational and research contexts.

Ferry Operators’ Perception on Influencing Factors of Ferry services in Lagos, Nigeria

Ferry operations and services are comprised of constituent factors that might be either simple or complex, depending on how they are regarded. Population density, frequency of service, fare, weather, operating cost and time, safety and cleanliness, and so on all play a role. This study aims to assess the factors which influence ferry operations and services in Lagos State with specific objectives to assess the socio-economic characteristics of the ferry operators; determine the level of supply of ferry by the operators; and identify the influencing factors of ferry ridership from Operators’ perspective. Primary and secondary data were source. However, a survey design method was deployed and used for the study. Trip survey was done daily; involved morning and evening traffic between 6:30 a.m. and 6:00 p.m. For boat/ferry operators, the sample size was 111. The data was analyzed using inferential and descriptive statistics; processed data from questionnaire results was evaluated hypothetically using the Pearson Chi-Square rule. The levels or ratings of supply factors were determined using a Likert rating scale. it was revealed that Ferry ridership is heavily influenced by operating time. Hypothesis tested revealed that ridership Fare does not have associative influence of the number of trips by the operators. The study concluded that supply determinants of ferry ridership and services contribute immensely to the level of ferry patronage and provisions. There is need to monitor irregularities that may crawl-into management and sustainability of water transport development in Lagos State and Nigeria as a whole.

Patient preferences for teleradiology services and remote image interpretation: An empirical study.

This study aims to examine patient preferences for teleradiology services and remote image interpretation. In this context, this study aims to address the following research questions: (i) How do patients perceive teleradiology services, focusing specifically on comfort, quality of care and satisfaction, communication and information, and accessibility and ease of use; (ii) How do patient demographics (age, gender, urban vs. rural residence) influence the perceptions on teleradiology services? A cross-sectional survey design is adopted in this study. The survey comprises five sections targeting demographic information, comfort, and preferences regarding remote image interpretation, perceived quality of care and satisfaction, communication and information clarity, and accessibility and technology aspects using five-point Likert scale ratings. A total of 406 patients (209 males and 197 females; 170 urban residents; 174 semi-urban residents, and 62 rural residents) using teleradiology services participated in the study. Participants reported high satisfaction with remote image interpretation (3.78 ± 1.19), quality of care (3.31 ± 1.19), understanding (3.84 ± 1.43), and user-friendliness (3.67 ± 1.29). Key issues were technical problems (3.81 ± 1.35), feedback difficulties (3.19 ± 1.58), privacy concerns (2.43 ± 1.46), and low awareness (2.37 ± 1.12). Urban participants scored significantly better in comfort, preferences, and communication than those from semi-urban and rural areas. Teleradiology design and implementation should be optimized to align with patient preferences and enhance overall satisfaction.

Youth Migration and its Resultant Effect on Small-Scale Fish Farming in Southwest Nigeria

The study aimed at assessing the effects of rural youths’ migration pattern on small-scale fish farming in southwest Nigeria. Primary data were obtained from 440 fish farmers with the aid of a well-structured questionnaire, using multi-stage random sampling technique. Data collected were analyzed using descriptive statistics and likert scale rating techniques. The results showed that majority of the fishers were married males with mean age, household size and fishing experience of 44 years, 6 persons and 14 years respectively. It was further revealed that scarce employment opportunities (89.1%), flood/drought (85.7%), poverty (79.8%) and insurgency/displacement (75.5%) were the major push factors triggering rural youth’s migration in the study area while attractive wages/high income (98.0%), diverse employment opportunities (90.2%), alternative source of income during off season (86.1%) and availability of improved technologies (70.7%) were the major pull triggering youths’ migration in the study area. Thus, provision of loan to fishers at flexible interest rate, availability of improved fishing equipment, establishment of vocational training centres, integrating rural youth into empowerment programmes and provision of improved fishing methods to attract youth were the main strategies that could be used to checkmate rural youth migration in the study area. It was therefore recommended that Bank of Agriculture should be encourage to give out minimal loan interest rate to fishers at flexible repayment plans, empowerment/skills acquisition/entrepreneurship programmes should be established.

Practice-Integrated Study Programs in Agriculture Sciences for A Better School to Work Transition in Albania and Kosovo: A Stakeholders Overview

The quality of study programs in higher education plays a crucial role in helping graduates transition from university to the labor market. There is a risk of losing qualified human resources in a knowledge-based society and economy if the education provided does not meet the needs of the labor market. This has led governments and higher education institutions in Albania and Kosovo to reconsider their academic offerings and study program curriculums to better integrate graduates into the labor market. This study examines how stakeholders, both private and public institutions, perceive the practical orientation of higher education study programs in agricultural sciences. A structured questionnaire with closed-ended questions using a Likert rating scale was used to analyze the views and expectations of employees in the public and private sectors about the practical skills that graduates in agricultural sciences should possess. The total number of analyzed questionnaires was 294. Employers in the labor market consider work-based placements, continuous training, and international training of students as "very important" to meet the demand for skills in the labor market. More than 91% of public institution executives stressed the importance of "practice" in reducing the practical skills gap for students, compared to 78% of private sector employees. The findings revealed that public employees are more aware than private sector employers that close cooperation between HEIs and work-life partners is crucial for producing a “university product” that meets future society's needs.

The Effect of Organic Fertilizer Type, Nutrient Composition, and Application Method on Tomato Plant Growth in Plantation Areas in the Cianjur Region of West Java

This study investigated the effect of organic fertilizer type, nutrient composition, and application method on tomato plant growth in the plantation areas of the Cianjur region, West Java. A randomized complete block design (RCBD) with factorial arrangements was employed, and data were collected using Likert scale ratings from 110 tomato plants. The analysis revealed significant differences in plant growth among different organic fertilizer types, with biofertilizers exhibiting the highest mean growth score. Moreover, fertilizers with balanced nutrient compositions resulted in superior plant growth compared to those with imbalanced compositions. Additionally, foliar spraying emerged as the most effective application method, promoting higher plant growth compared to broadcasting and banding methods. These findings highlight the importance of considering organic fertilizer characteristics and application techniques in optimizing tomato plant growth in agricultural systems.

Enhancing Airway Management: A Comparative Study of Macintosh and TAS Scope in Difficult Intubations.

Intubation is essential in anesthesia for patient safety, requiring accurate techniques for difficult airways. Achieving first-attempt success is crucial. This study evaluates traditional laryngoscopes, such as the Macintosh, versus advanced tools like the TAS Scope. This observational study, conducted from April to August 2023 at Saveetha Medical College and Hospital, involved 60 patients aged 18-65. The two groups of Macintosh laryngoscope and TAS Scope 30 each are based on airway difficulty predictors and patient characteristics. The TAS Scope group had a higher first-attempt success rate and easier intubation experiences according to Likert scale ratings. The study underscores the benefits of using advanced devices like the TAS Scope for difficult airway management, showing higher success rates and ease of use. These findings support the adoption of new technologies to enhance patient safety and intubation effectiveness.