Ease Of Understanding Research Articles

Proposal of a Framework for Evaluating the Importance of Production and Maintenance Integration Supported by the Use of Ordinal Linguistic Fuzzy Modeling

Over the years, the integration of Production Management and Maintenance Management has gained significant attention from the scientific community due to its benefits for the company. When searching through the states of the art and practice, it is possible to understand that one of the main challenges for the integration is the lack of systematic, methodological, and scientific approaches and evaluation systems that lead companies into a successful implementation and a clear understanding of the benefits and drawbacks of the process. This paper introduces an original framework that conducts the processes of evaluation, weighting, and aggregation of set of novel indicators proposed by the authors. The main output of the proposal is an integral index that allows us to qualify, in a linguistic domain, the importance of the Production and Maintenance Management integration. At the same time, the proposed framework includes a methodology to evaluate the consensus of the experts, based on the use of linguistic terms with a membership function of the triangular type, which attempts to overcome some deficiencies of previous models identified by the authors in a detailed and complex analysis of the scientific literature. The proposed framework is applied in a plant of the Cuban mechanical industry. The results of this application are clearly presented and discussed, allowing us to verify and validate the proposal while also contributing to its ease of understanding and ultimately to the successful integration of the production and maintenance tasks in the given company.

Factors Affecting Employee’s Perception on Job Satisfaction: Case of United States International University (USIU)

Purpose: This study sought to establish the factors that affect employee’s perception on job satisfaction in USIU. Specifically, the study assessed the effect of employee’s perception of personal factors, social factors, and organizational factors on job satisfaction.
 Methodology: The research design was descriptive in nature, across-sectional survey based on selection of elements regarding the population of interest and presented in frequency and percentage distributions. The population in this study comprised 365 full time employees (both academic and administrative). A sample of 79 full time employees was targeted to represent the population of interest. The sampling technique used consisted of a non-probability sampling technique that was purposive sampling based on the population of interest. Questionnaires were tested through a pilot testing process and thereafter were distributed to 79 full time employees. The data was coded and entered in Statistical Package for the Social Sciences (SPSS), and analyzed via descriptive statistics then presented in tables for clarity and ease of understanding.
 Results: With respect to personal factors and job satisfaction, this study concluded that employees with strategic management styles were more characterized by conscientiousness and openness to experience, while those with strong interpersonal management styles were most characterized by extraversion, agreeableness, and high emotional stability. Thus, all Big Five traits should be given attention in the study and application of organizational behavior. In addition, social factors and job satisfaction, the study concluded that job satisfaction is affected by the demographic similarity between supervisors and subordinates by the way in which supervisors assign tasks, the extent to which subordinates and supervisors like and respect each other, and the role of fairness in the workplace. And final, in regard to the organizational factors and its effect on job satisfaction, the research study concluded that organizational reward system must be as objective and as fair as possible and be administered contingently on the employee’s exhibiting critical performance behaviors. Thus, employees should be rewarded in accordance to their contribution in the achievement of organization goal and observation.
 Unique contribution to theory, practice and policy: The study made several recommendations among them that employer (USIU) ought to give attention to all Big Five traits in the study and application of organizational behavior. It also recommended that USIU human resource department should propose organizational restructuring that influences the natures of interactions at work which affect coworker relationships and which in turn affect job satisfaction. It further recommended that USIU should go through a trial-and-error approach before they settle into unique reward systems that works best for their full-time employees.

Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences.

Discrete choice experiments (DCE) are commonly used to elicit patient preferences and to determine the relative importance of attributes but can be complex and costly to administer. Simpler methods that measure relative importance exist, such as swing weighting with direct rating (SW-DR), but there is little empirical evidence comparing the two. This study aimed to directly compare attribute relative importance rankings and weights elicited using a DCE and SW-DR. A total of 307 patients with non-small-cell lung cancer in Italy and Belgium completed an online survey assessing preferences for cancer treatment using DCE and SW-DR. The relative importance of the attributes was determined using a random parameter logit model for the DCE and rank order centroid method (ROC) for SW-DR. Differences in relative importance ranking and weights between the methods were assessed using Cohen's weighted kappa and Dirichlet regression. Feedback on ease of understanding and answering the 2 tasks was also collected. Most respondents (>65%) found both tasks (very) easy to understand and answer. The same attribute, survival, was ranked most important irrespective of the methods applied. The overall ranking of the attributes on an aggregate level differed significantly between DCE and SW-ROC (P < 0.01). Greater differences in attribute weights between attributes were reported in DCE compared with SW-DR (P < 0.01). Agreement between the individual-level attribute ranking across methods was moderate (weighted Kappa 0.53-0.55). Significant differences in attribute importance between DCE and SW-DR were found. Respondents reported both methods being relatively easy to understand and answer. Further studies confirming these findings are warranted. Such studies will help to provide accurate guidance for methods selection when studying relative attribute importance across a wide array of preference-relevant decisions. Both DCEs and SW tasks can be used to determine attribute relative importance rankings and weights; however, little evidence exists empirically comparing these methods in terms of outcomes or respondent usability.Most respondents found the DCE and SW tasks very easy or easy to understand and answer.A direct comparison of DCE and SW found significant differences in attribute importance rankings and weights as well as a greater spread in the DCE-derived attribute relative importance weights.

Doctor AI? A pilot study examining responses of artificial intelligence to common questions asked by geriatric patients.

AI technologies have the potential to transform patient care. AI has been used to aid in differential diagnosis and treatment planning for psychiatric disorders, administer therapeutic protocols, assist with interpretation of cognitive testing, and patient treatment planning. Despite advancements, AI has notable limitations and remains understudied and further research on its strengths and limitations in patient care is required. This study explored the responses of AI (Chat-GPT 3.5) and trained clinicians to commonly asked patient questions. Three clinicians and AI provided responses to five dementia/geriatric healthcare-related questions. Responses were analyzed by a fourth, blinded clinician for clarity, accuracy, relevance, depth, and ease of understanding and to determine which response was AI generated. AI responses were rated highest in ease of understanding and depth across all responses and tied for first for clarity, accuracy, and relevance. The rating for AI generated responses was 4.6/5 (SD = 0.26); the clinician s' responses were 4.3 (SD = 0.67), 4.2 (SD = 0.52), and 3.9 (SD = 0.59), respectively. The AI generated answers were identified in 4/5 instances. AI responses were rated more highly and consistently on each question individually and overall than clinician answers demonstrating that AI could produce good responses to potential patient questions. However, AI responses were easily distinguishable from those of clinicians. Although AI has the potential to positively impact healthcare, concerns are raised regarding difficulties discerning AI from human generated material, the increased potential for proliferation of misinformation, data security concerns, and more.

Evaluation of the Effectiveness of Combining Virtual Reality and Augmented Reality in Children’s Pharmaceutical Packaging Designs

Abstract The rapid development of virtual reality and augmented reality technology has brought significant changes to many industries in modern society. In the field of product packaging design, the use of virtual reality and augmented reality technology in product packaging design is becoming more common in the field. Researchers are exploring the use of VR and AR technology in children’s drug packaging, employing augmented reality research that leverages natural features and artificial recognition to construct a model of children’s drug packaging that incorporates VR and AR technology. We analyze the impact of VR+AR on children’s drug packaging. Consumers’ main requirements for children’s drug packaging are bright, strong, practical, fun, novelty, and ease of understanding. The paper’s model, sample Z, ranks 5th in market competitiveness and 1st in technical competitiveness, outperforming competitors A, B, C, and D. This suggests that VR+AR children’s drug packaging still needs improvement in market competitiveness despite its high technical content. In descending order, the design evaluation dimensions score the VR+AR children’s drug packaging as follows: vivid picture (3.193)&gt; texture (3.154) &gt; easy to hold (3.142) &gt; Moderate capacity (3.129) &gt; simple and generous (3.105) &gt; conform to the production process (3.047) &gt; harmonious color (3.044) &gt; convenient for transportation (3.028) &gt; low production cost (3.012). The average score for each dimension of the VR+AR children’s drug packaging experience is approximately 4.46 points.

PERSEPSI SISWA TERHADAP PENGGUNAAN VIDEO ANIMASI BERBASIS DORATOON

Blended learning has become a learning adaptation in the post-COVID-19 pandemic era. This means that schools have implemented offline learning in the classroom but the essence of online learning is still available, such as using audiovisual media in learning. This research aims to determine the fifth-grade students' perceptions of the use of Doratoon-based animated videos in Civic Education learning. This research used mixed research methods which consisted of a questionnaire for fifth-grade students and in-depth interviews with 5 students among the survey respondents. The results explained that fifth-grade students tend to strongly agree with the use of animated videos as learning media in Civic Education class. This was proven by the mean score of 4,5 in the survey which showed that students strongly agree with the implementation of Doratoon-based animation videos in the aspects of students' interest in Doratoon animation videos, ease of understanding, and ease of absorbing more information. This research is expected to help teachers determine effective learning media for teaching fifth-grade students in Civic Education subjects.

Development of an assay for colorimetric and fluorometric detection of H2S.

Hydrogen sulfide is a highly toxic gas that can produce extremely rapid CNS and respiratory depression and sometimes becomes fatal at high concentrations. There is no proven antidote for hydrogen sulfide poisoning. Hence, it is important to reduce the production of H2S in several industries, such as oil and gas refining and mining industries. As a consequence, researchers are always inquisitive about inventing different sensing devices or useful tools to detect H2S selectively in a cost-effective manner. Colorimetric and fluorometric detection methods are the most attractive owing to their simplicity, profitability, ease of understanding, and "on-spot" detection convenience. In this research, we developed some colorimetric and fluorometric chemosensors and established an assay for the easy detection of H2S following a specific mechanism. The sensing mechanisms were well established through exhaustive spectroscopic studies and theoretical calculations. We first synthesized a series of chemosensors using 2-hydroxy naphthaldehyde as a primary fluorophore. The chemosensors were developed by incorporating various electron-releasing and donating groups while keeping the binding site unchanged. Subsequently, we compared their efficiency and binding ability towards H2S with a possible mechanism. The chemosensor was employed through a paper strip for demonstration as an "in-field" device by changing the naked-eye and fluorescence color both in liquid and gas phases.

Implementation of the Law Regarding the Use of CCTV Cameras as Electronic Traffic Enforcement Tools in the City of Medan

&lt;p&gt;Closed Circuit Television (CCTV) is one of the surveillance tools that can work automatically 24 (twenty-four) which can be used as a tool that helps prevent crime on an object. This research uses a normative juridical approach method. The type of data in this study uses secondary data, and an empirical approach with a qualitative approach. The data sources used are documents and books. Secondary data is data obtained indirectly through literature studies of laws and regulations and publications of previous studies to add information, obtain a theoretical basis and legal basis. Data analysis is described qualitatively, by describing data in the form of sentences that are organized, logical, effective, so that it helps ease of understanding. This research results in the existence of CCTV (Closed Circuit Television) recording evidence recognized as valid evidence, reinforced by the issuance of the Electronic Information and Transactions Law, namely in Article 5 paragraph (1) and paragraph (2) of the ITE Law.&lt;/p&gt;

ChatGPT's performance in German OB/GYN exams - paving the way for AI-enhanced medical education and clinical practice.

Chat Generative Pre-Trained Transformer (ChatGPT) is an artificial learning and large language model tool developed by OpenAI in 2022. It utilizes deep learning algorithms to process natural language and generate responses, which renders it suitable for conversational interfaces. ChatGPT's potential to transform medical education and clinical practice is currently being explored, but its capabilities and limitations in this domain remain incompletely investigated. The present study aimed to assess ChatGPT's performance in medical knowledge competency for problem assessment in obstetrics and gynecology (OB/GYN). Two datasets were established for analysis: questions (1) from OB/GYN course exams at a German university hospital and (2) from the German medical state licensing exams. In order to assess ChatGPT's performance, questions were entered into the chat interface, and responses were documented. A quantitative analysis compared ChatGPT's accuracy with that of medical students for different levels of difficulty and types of questions. Additionally, a qualitative analysis assessed the quality of ChatGPT's responses regarding ease of understanding, conciseness, accuracy, completeness, and relevance. Non-obvious insights generated by ChatGPT were evaluated, and a density index of insights was established in order to quantify the tool's ability to provide students with relevant and concise medical knowledge. ChatGPT demonstrated consistent and comparable performance across both datasets. It provided correct responses at a rate comparable with that of medical students, thereby indicating its ability to handle a diverse spectrum of questions ranging from general knowledge to complex clinical case presentations. The tool's accuracy was partly affected by question difficulty in the medical state exam dataset. Our qualitative assessment revealed that ChatGPT provided mostly accurate, complete, and relevant answers. ChatGPT additionally provided many non-obvious insights, especially in correctly answered questions, which indicates its potential for enhancing autonomous medical learning. ChatGPT has promise as a supplementary tool in medical education and clinical practice. Its ability to provide accurate and insightful responses showcases its adaptability to complex clinical scenarios. As AI technologies continue to evolve, ChatGPT and similar tools may contribute to more efficient and personalized learning experiences and assistance for health care providers.

Adaptation and Modification of Digital Cognitive Assessments for Smartphone‐based and Unsupervised Conduct

AbstractBackgroundRemote and decentralized approaches to clinical outcome assessments in clinical trials can reduce patient and trial burden, improve recruitment and retention, and lower barriers to trial participation. Remote assessment may be facilitated through smartphone‐based cognitive assessment, especially in Bring‐Your‐Own‐Device (BYOD) trials, and can also enable novel designs, for example, the use of high frequency ‘burst’ assessments. Application of such digital assessments in remote or unsupervised settings requires understanding of potential error from test administration and delivery platform (e.g., smartphones vs. computer).MethodA series of studies explored the modification of the well‐validated Cogstate Brief Battery (CBB) to include practice trials with dynamic feedback to support unsupervised cognitive assessment, and adaptations for smartphone delivery. Data were drawn from healthy populations in (1) the Healthy Brain Project, where middle‐aged adults (n = 1,594) completed unsupervised cognitive assessments on a computer, (2) a pilot study of young adults (n = 60) who completed both smartphone and computer administration, and (3) a large (n = 35,000) study of adults who completed unsupervised smartphone‐based cognitive assessments in a BYOD context.ResultData from middle‐aged adults enrolled in the Healthy Brain Project indicated that adaptation of the CBB for unsupervised computer‐based assessment had high levels of acceptability (98% complete data) and usability (95%), with data meeting criteria for low error rates and ease of understanding). In young adults, rates of test completion were high and comparable (&gt;98%), and performance accuracy (d’s &lt;0.2) was equivalent between smartphone and computer administration. Performance was systematically slower (d’s &gt;0.4) on smartphone than computer. Smartphone usability was high (e.g., &gt;85% found text and button size to be ‘just right’), but there was not a strong preference for smartphone versus computer (56% preferred smartphone) and different issues of fatigue, distraction, and use of keyboard input were raised for the platforms. Similar findings of outcome consistency across platform were observed in the large BYOD sample (N&gt;35,000).ConclusionThese results indicate that smartphone assessment has high acceptability, good reliability, and that accuracy of performance is equivalent between smartphone and computer versions. The data also raise important issues for the successful adaptation and modification of cognitive tasks for smartphone administration.

Exploring the effects of virtual annotation background display mode and transparency through a 360-degree panorama approach to online shopping

PurposeWith the rapid development of technology, 360° panorama on mobile as a very convenient way to present virtual reality has brought a new shopping experience to consumers. Usually, consumers get product information through virtual annotations in 360° panorama and then make a series of shopping behaviors. The visual design of virtual annotation significantly influences users' online visual search for product information. This study aims to investigate the influence of the visual design of virtual annotation on consumers' shopping experience in the online shopping interface of 360° panorama.Design/methodology/approachA 2 × 3 between-subject design was planned to help explore whether different display model of annotation (i.e. negative polarity and positive polarity) and different background transparency of annotation (i.e. 0% transparency, 25% transparency and 50% transparency) may affect users' task performance and their subjective evaluations.Findings(1) Virtual annotations with different background transparency affect user performance, and transparency has better visual search performance. (2) Virtual annotation background display mode may affect the user operation performance; the positive polarity of the virtual annotation is more convenient for the users' visual searching for product information. (3) When the annotation background transparency is opaque or semi-transparent, the negative polarity display is more favorable to the users' visual search. However, this situation is reversed when the annotation background transparency is 25%. (4) Participants preferred the presentation of positive polarity virtual annotations. (5) Regarding the degree of willingness to use and ease of understanding, participants preferred the negative polarity display for 0% background transparency or 50% background transparency. However, the opposite result was obtained for 25% background transparency.Originality/valueThe findings generated from the research can be a good reference for the development of virtual annotation visual design for mobile shopping applications.HighlightsVirtual annotation background transparency and background display mode are two essential attributes of 360° panoramas.This study examined how virtual annotation background transparency and background display mode influence user performance and experience.It is recommended to use a translucent or opaque annotation background with a negative polarity display.Virtual annotation presentation with 25% background transparency facilitates consumer searching and comparison of product information.Users prefer a positive polarity annotation display.

Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports.

Radiology reporting is an essential component of clinical diagnosis and decision-making. With the advent of advanced artificial intelligence (AI) models like GPT-4 (Generative Pre-trained Transformer 4), there is growing interest in evaluating their potential for optimizing or generating radiology reports. This study aimed to compare the quality and content of radiologist-generated and GPT-4 AI-generated radiology reports. A comparative study design was employed in the study, where a total of 100 anonymized radiology reports were randomly selected and analyzed. Each report was processed by GPT-4, resulting in the generation of a corresponding AI-generated report. Quantitative and qualitative analysis techniques were utilized to assess similarities and differences between the two sets of reports. The AI-generated reports showed comparable quality to radiologist-generated reports in most categories. Significant differences were observed in clarity (p = 0.027), ease of understanding (p = 0.023), and structure (p = 0.050), favoring the AI-generated reports. AI-generated reports were more concise, with 34.53 fewer words and 174.22 fewer characters on average, but had greater variability in sentence length. Content similarity was high, with an average Cosine Similarity of 0.85, Sequence Matcher Similarity of 0.52, BLEU Score of 0.5008, and BERTScore F1 of 0.8775. The results of this proof-of-concept study suggest that GPT-4 can be a reliable tool for generating standardized radiology reports, offering potential benefits such as improved efficiency, better communication, and simplified data extraction and analysis. However, limitations and ethical implications must be addressed to ensure the safe and effective implementation of this technology in clinical practice. The findings of this study suggest that GPT-4 (Generative Pre-trained Transformer 4), an advanced AI model, has the potential to significantly contribute to the standardization and optimization of radiology reporting, offering improved efficiency and communication in clinical practice. • Large language model-generated radiology reports exhibited high content similarity and moderate structural resemblance to radiologist-generated reports. • Performance metrics highlighted the strong matching of word selection and order, as well as high semantic similarity between AI and radiologist-generated reports. • Large language model demonstrated potential for generating standardized radiology reports, improving efficiency and communication in clinical settings.

EVALUATION OF THE JKN MOBILE APPLICATION USING THE EUCS METHOD AT RSU ANNA MEDIKA MADURA BANGKALAN DISTRICT

JKN Mobile Application is a means of information for JKN or BPJS Health participants. Evaluation of the use of the JKN Mobile application that supports JKN programme services needs to be done so that the application can continue to be used and as a recommendation for future application improvements. The type of research is quantitative with an analytical survey approach using a cross sectional design. Population in this study were all BPJS health participants in Bangkalan Regency who used the Mobile JKN application. The sampling technique in this study was accidental sampling. Evaluation using the EUCS method is used to provide an assessment of user satisfaction with system quality. Results of hypothesis testing on the variables of concent, accuracy, format, ease of use, timeliness and user satisfaction show that each of these variables has a sign value. &lt;0.05, which means that the hypothesis of each variable is accepted (Ha). JKN mobile application already displays clear information, is easy to understand, provides accurate information, a good and attractive appearance and ease of understanding, ease of use and accuracy of displaying the latest information so as to provide user satisfaction with the application. Improving the performance of the JKN mobile application is necessary to maintain service quality and aims to increase the satisfaction of users of the application.

Clinical feasibility evaluation of a digital workflow of prosthetically oriented onlay bone grafting for horizontal alveolar augmentation: a prospective pilot study

BackgroundOnlay bone grafting is considered highly reliable for reconstructing severe horizontal bone defects. A critical problem is how to achieve precise position of the bone block to control alveolar ridge dimensions. This research aims to establish a digital workflow for prosthetically oriented onlay bone grafting and evaluate its accuracy and efficiency.MethodsThis prospective pilot study investigated eight patients who required implant restoration in the esthetic area with horizontal alveolar bone defects. The workflow includes preoperative virtual planning, design and manufacture of patient-specific templates, bone grafting surgery, and implant insertion. Primary outcomes were graft accuracy, defined by root mean square estimate (RMSE) values between preoperatively designed and actual implanted outer contours of bone blocks. Secondary outcomes were bone graft and implant success rates. Besides, the surgeons used the visual analog scale (VAS) to rate the intuitiveness, ease of understanding, and helpfulness of the workflow.ResultsNo bone grafts or implants failed in any of the eight patients, resulting in a 100% success rate. The RMSE values between the preoperative design and the implanted outer contour of bone blocks were 0.41 ± 0.15 mm. The digital approach showed advantages in intuitiveness (9.3 ± 0.5), understanding (9.0 ± 0.5), and helpfulness (8.4 ± 1.1) according to surgeons' VAS scores.ConclusionsA digital workflow provided encouraging results, in terms of accuracy and efficacy, for horizontal bone augmentation.Trial registrationThis study was registered in the National Clinical Trials Registry in 16/02/2023 under the identification number ChiCTR2300068361.

Different Frameworks, Similar Results? Head-to-Head Comparison of the Generic Preference-Based Health-Outcome Measures CS-Base and EQ-5D-5L.

We compared two generic, preference-based health-outcome measures: the novel patient-centered Château-Santé Base (CS-Base), entailing a multi-attribute preference response framework, and the widely used EQ-5D-5L, regarding effects of different measurement frameworks and different descriptive systems. We conducted a cross-sectional study using a random sample of patients (3019 reached, 1988 included) in the USA with various health conditions. The CS-Base (12 attributes, each with four levels), EQ-5D-5L and the 5D-4L (an ad hoc, multi-attribute preference response-based measure that includes five attributes similar to the EQ-5D-5L, but with four levels) were used as health-outcome measures. We compared the proportions of problems reported on health attributes, statistical robustness and face validity of coefficients, attribute importance, differentiation between health states based on health-state values obtained with these measures, and user experience. All the CS-Base and 5D-4L coefficients had logical orders and significant differences from the reference level (p < 0.001). Substantial differences were observed in the CS-Base and 5D-4L coefficients between all levels on all attributes, while subtle differences were seen in those of the EQ-5D-5L. Attribute importance of usual (daily) activities were lowest or second lowest in all the three health-outcome measures. Attributes with the highest importance in the CS-Base, 5D-4L, and EQ-5D-5L were respectively mobility, anxiety/depression, and pain/discomfort. Four attributes are similar between the CS-Base and EQ-5D-5L, eight are exclusive to CS-Base. Of the eight, vision and hearing had the highest importance. Health-state values showed a smoother distribution with minimal discontinuity in the CS-Base and EQ-5D-5L than in the 5D-4L. In user experience evaluation, both CS-Base and the 5D-4L showed mean scores above 50 (indicating positive evaluation) in terms of the description of health and ease of understanding. This study demonstrated that CS-Base and 5D-4L, which are grounded in the multi-attribute preference response framework, produced statistically robust coefficients, with better face validity than those for the EQ-5D-5L. CS-Base and the EQ-5D-5L outperformed the 5D-4L in differentiating between health states. Notwithstanding differences in content, measurement frameworks, and estimated coefficients, the computed health-state values were similar between CS-Base and EQ-5D-5L.

Feasibility and usability of a virtual-reality-based sensorimotor activation apparatus for carpal tunnel syndrome patients.

This study aimed to assess the usability of a virtual reality-assisted sensorimotor activation (VRSMA) apparatus for individual digit rehabilitation. The study had two main objectives: Firstly, to collect preliminary data on the expectations and preferences of patients with carpal tunnel syndrome (CTS) regarding virtual reality (VR) and an apparatus-assisted therapy for their affected digits. Secondly, to evaluate the usability of the VRSMA apparatus that was developed. The VRSMA system consists of an apparatus that provides sensory and motor stimulation via a vibratory motor and pressure sensor attached to a button, and a virtual reality-based visual cue provided by texts overlaid on top of a 3D model of a hand. The study involved 10 CTS patients who completed five blocks of VRSMA with their affected hand, with each block corresponding to the five digits. The patients were asked to complete a user expectations questionnaire before experiencing the VRSMA, and a user evaluation questionnaire after completing the VRSMA. Expectations for VRSMA were obtained from the questionnaire results using a House of Quality (HoQ) analysis. In the survey for expectations, participants rated certain attributes as important for a rehabilitation device for CTS, with mean ratings above 4 for attributes such as ease of use, ease of understanding, motivation, and improvement of hand function based on clinical evidence. The level of immersion and an interesting rehabilitation regime received lower ratings, with mean ratings above 3.5. The survey evaluating VRSMA showed that the current prototype was overall satisfactory with a mean rating of 3.9 out of 5. Based on the HoQ matrix, the highest priority for development of the VRSMA was to enhance device comfort and usage time. This was followed by the need to perform more clinical studies to provide evidence of the efficacy of the VRSMA. Other technical characteristics, such as VRSMA content and device reliability, had lower priority scores. The current study presents a potential for an individual digit sensorimotor rehabilitation device that is well-liked by CTS patients.

Designing and Validation of e-module on Agriculture for Nutrition and Health (A4NH)

There is less awareness about health and nutrition problems and at the same time lack of availability of relevant and credible modules for ready reference for the needy people in India. This has aggravated the health and nutrition problems among rural women. The very low ratio of extension workers to farmers is aggravating the problem of knowledge transfer through the traditional system, so e-learning which is supported by growing connectivity and increased penetration of electronics in rural India can be used as an alternative solution to give faster and easily accessible information to the rural women, hence e module was developed using Microsoft Office PowerPoint 2013, e-learning module was created. The module was published as a CD-ROM. The module was validated through the sample group of researchers using the validation tool conceived by Vijayragavan and Singh [1] adapted for research purposes. Validation is done using four parameters, out of 4 parameters content and design were ranked first with a mean score of 3.88, followed by the satisfaction of felt information need with a mean score of 3.85. It was found that the utility of content and ease of understanding were scored low by the experts when compared to the content and satisfaction of the need for felt information. However, in absolute terms, all the parameters had a mean score of more than 3.5 indicating high acceptability of the complete module.

Feasibility and Acceptability of ChatGPT Generated Radiology Report Summaries for Cancer Patients.

Patients now have direct access to their diagnostic imaging reports. However, they can include complex terminology that can be difficult for patients to understand. ChatGPT (OpenAI, San Francisco, CA) is an artificial intelligence (AI) text-generating model that can simplify complex text and generate human-like responses. We assessed ChatGPT's ability to generate summarized MRI reports for patients with prostate cancer and evaluated physician satisfaction with providing patients with an AI-summarized report. We used ChatGPT to summarize five prostate cancer MRI reports performed at our institution from 2021-2022. Using a standard prompt, we asked ChatGPT to summarize the full MRI reports into a patient letter at a 6th grade reading level. To account for variability in text output, we generated three different summarized reports per unique MRI report. Full MRI and summarized reports were assessed for readability using Flesch-Kincaid Grade Level (FK) score. Radiation oncologists at our institution were asked to evaluate the summarized reports with an anonymous questionnaire. Physicians were shown two full MRI reports and three summarized versions for each full report. For each summarized report, physicians were asked six questions assessing the following: factual correctness, ease of understanding, completeness, potential for harm, overall quality, and likelihood they would send the report to a patient. Qualitative responses were given on a 1-5 Likert-type scale. A total of 15 summarized reports were generated from five full MRI reports using ChatGPT. The median FK score for the full MRI reports and summarized reports was 9.6 vs. 5.0, (p<0.05), respectively. 12 radiation oncologists responded to our questionnaire with experience levels of: resident (25%), attending <5 years (33%), attending 5-10 years (17%), and attending >10 years (25%). The mean [SD] rating across all six summarized reports for each of the questions were: factual correctness (4.0 [0.6], understanding 4.0 [0.7]), completeness (4.1 [0.5]), potential for harm (3.5 [0.9]), overall quality (3.4 [0.9]), and likelihood to send to patient (3.1 [1.1]). 89%, 78%, and 93% of respondents answered agree or strongly agree for correctness, ease of understanding, and completeness of the summarized reports. 51%, 53%, and 46% of respondents answered agree or strongly agree for potential for harm, overall quality, and likelihood to send to patient. ChatGPT was able to summarize prostate MRI reports at a reading level appropriate for patients. Physicians were likely to be satisfied with the summarized reports with respect to factual correctness, ease of understanding, and completeness. They were less likely to be satisfied with respect to potential for harm, overall quality, and likelihood to send to patients. Further research is needed to optimize ChatGPT's ability to summarize radiology reports for patients and understand what factors influence physician trust in AI-summarized reports.

Physics of gravitational processes as a key to understanding the properties of Achimov deposits

The article is devoted to the development of a methodology for predicting the properties of Achimov reservoirs based on cause-and-effect relationships such as the source of shelf sedimentary material, the geometry of clinoforms and the distance of alluvial fans to the slope. The technique was developed on the basis of physical laws, namely the conditions of disturbance of the gravitational equilibrium of sediments on the shelf edge – the moment of the beginning of the removal of sedimentary material and the process of cone formation caused by the deposition (braking) of sediments on the bottom of the basin. The methodology includes two stages for step-by-step theoretical justification and ease of understanding. At the first stage, the problem of disturbing the gravitational equilibrium of shelf sediments depending on the geometry of the clinoforms is solved. At the second stage, the problem of dependence of the distance of the blades on the slope and the properties of promising objects is considered. Based on theoretical concepts, the main conclusions about the dependence of the characteristics of alluvial fans (properties and volume of sandstone) on the geometric parameters of clinoforms and on the distance to the slope are outlined, and a complex parameter characterizing the properties of promising objects is derived. The methodology developed by the author makes it possible to predict, compare and rank Achimov objects according to their prospects both within one formation and as a whole in one or several fields.

Curietherapy User eXperience Pilot Study: A Novel Augmented Reality Educational Tool during Radiation Oncology Consultation for Patients with Breast Cancer

Improved communication and knowledge delivery by clinicians at initial consultation may reduce anxiety and psychological burdens associated with cancer treatment. Based on our pilot qualitative study which involved semi-structured interviews of breast cancer patients, we developed Curietherapy User eXperience (CurieUx), an educational tool integrating augmented reality display technology into radiation oncology consultations. We developed an interactive 3-dimensional hologram using a frictionless, augmented reality desktop display. Animated modules on patient-specific anatomy (breast, regional lymph nodes, organs-at-risk), linear accelerator, and positioning (prone and breath holding techniques) were created. Patients with newly diagnosed localized breast cancer undergoing radiation oncology treatment were prospectively enrolled in this IRB approved study to evaluate the impact of integrating augmented reality educational tools during radiation therapy consultation (n = 40). Likert scale surveys on anxiety (NIH PROMIS), radiation knowledge, and augmented reality experience (modified IBM technology usability survey) were administered to patients before and after radiation consultation. A total of 40 newly diagnosed breast cancer patients were enrolled in this study with a median age of 67 years. Majority were diagnosed with T1-T2N0 (75.0%), followed by Tis (17.5%) and N1+ (7.5%). Of the 36 patients who proceeded with radiation, prone technique was utilized in 83.3% and deep inspiratory breath holding technique in 16.7%. Patients reported decreases in multiple components of anxiety after consultation with the CurieUx platform, including in fearfulness (2.13 vs 1.78, p = 0.003), uneasiness (2.28 vs. 1.82, p = 0.008), nervousness (2.41 vs 2.06, p = 0.005), and tenseness (2.28 vs 1.87, p = 0.004). Patients reported significant increases in radiation knowledge across multiple domains, including treatment machine (2.35 vs 4.7, p<0.001), radiation (2.7 vs 4.58, p<0.001), positioning (2.49 vs 4.68, p<0.001), and confidence (2.4 vs 4.3, p<0.001). An overwhelming majority of patients had positive experiences (4 or 5 on Likert scale) with using the CurieUx hologram display as part of consultation, including its ease of understanding (97%), clarity (93%), comfort (100%), value (97%), and satisfaction (97%). Curietherapy User eXperience is a valuable educational tool that reduces patient anxiety and promotes radiation knowledge. CurieUx is easily incorporated into the existing radiation oncology consultation practice with the vast majority of patients believing it to be a valuable addition to the consultation process.