17 research outputs found
Clinical Establishment Bill-It Should Be Reconsidered!
It is well known fact that medical profession is considered to be a noble profession. Doctors, usually consider themselves to be intelligent, wise, cultured and hence will preach like philosophers never indulging in sharp bargain. The main objective of the Clinical Establishment Bill is to bring some uniformity in the healthcare delivery, by making registration of all clinical establishments mandatory and prescribing enhanced penalty for the defaulters. This review elaborates few positive and negative aspects of this Act
Improving mathematics assessment readability: Do large language models help?
Background: Readability metrics provide us with an objective and efficient way to assess the quality of educational texts. We can use the readability measures for finding assessment items that are difficult to read for a given grade level. Hard-to-read math word problems can put some students at a disadvantage if they are behind in their literacy learning. Despite their math abilities, these students can perform poorly on difficult-to-read word problems because of their poor reading skills. Less readable math tests can create equity issues for students who are relatively new to the language of assessment. Less readable test items can also affect the assessment's construct validity by partially measuring reading comprehension. Objectives: This study shows how large language models help us improve the readability of math assessment items. Methods: We analysed 250 test items from grades 3 to 5 of EngageNY, an open-source curriculum. We used the GPT-3 AI system to simplify the text of these math word problems. We used text prompts and the few-shot learning method for the simplification task. Results and Conclusions: On average, GPT-3 AI produced output passages that showed improvements in readability metrics, but the outputs had a large amount of noise and were often unrelated to the input. We used thresholds over text similarity metrics and changes in readability measures to filter out the noise. We found meaningful simplifications that can be given to item authors as suggestions for improvement. Takeaways: GPT-3 AI is capable of simplifying hard-to-read math word problems. The model generates noisy simplifications using text prompts or few-shot learning methods. The noise can be filtered using text similarity and readability measures. The meaningful simplifications AI produces are sound but not ready to be used as a direct replacement for the original items. To improve test quality, simplifications can be suggested to item authors at the time of digital question authoring.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Design Aesthetic
EdOptimize–An Open-Source K-12 Learning Analytics Platform
Technology aided learning is becoming increasingly popular. In some of the countries, online learning has taken over for traditional classroom-based learning. With this, educational data is being generated in vast amounts. Knowing the potential of this data, many education stakeholders have turned to evidence-based decision making to improve the learning outcomes of the students. EdOptimize platform provides extensive actionable insights for a range of stakeholders through a suite of 3 data dashboards, each one intended for a certain type of stakeholder. We have designed a conceptual model and data architecture that can generalize across many different edtech implementation scenarios. Our source codeis available at https://github.com/PlaypowerLabs/EdOptimizeDesign Aesthetic
Health Literacy: Addressing Well-Being: A Review
Literacy forms an important input in overall development of individual enabling them to comprehend their social, political and cultural environment better and respond to it. Health literacy requires knowledge of health topics. People with limited health literacy often lack knowledge or have misinformation about the body as well as the nature and causes of disease. Without this knowledge, they may not understand the relationship between lifestyle factors such as diet and exercise and various health outcomes. Health literacy plays a key role on the overall health and wellbeing and is now recognized as a determinant of health and has been made a priority of public health agendas, as there is existence of clear scientific evidence regarding its association with health outcomes such as use of health care services, hospitalizations, mortality rates, and adherence to treatment regimens. Therefore, responsive health system that eliminates barriers to clear communication and provides usable and actionable health information and services is important to uplift the current situation
Assessment of Dental caries status, Periodontal health and oral hygiene practices among two Populations of Moradabad city, India
Background: Ever since the beginning of the universe mankind had struggled constantly for their livelihood, Moradabad is branded as the “Brass city” of India, which comprises of a large number of populations working in different industries.
Objective: To assess and compare the oral health status of workers employed in brass industries with non industrial workers of Moradabad city.
Material and Methods: A total of 500 workers from each group aged 30-50 with 5 years working experience were selected through random sampling. Type III examination was performed by recording who oral health assessment form. To compare the proportion chi-square test was used. Mean values were compared using students t-test. SPSS version 15.0 was used for statistical analyses.
Results: The prevalence of dental caries as Mean DMFT score was significantly higher in Non Industrial Group i.e. 3.57±2.74 while it was 2.88±2.14 in brass workers. Periodontal diseases were higher among production workers that belong to brass industries. The prevalence of Oral Mucosal Lesions was significantly higher among Production Workers. Bleeding was more pronounced in general population but calculus and pockets were seen more in brass workers. The requirement of prosthetic status was also more prevalent among industry subjects.
Conclusion: The Oral health status of Brass Industry Workers was relatively poor with poor periodontal health when compared to General Population. Further studies of oral occupational disease should be conducted in order to check or confirm previous reports and to discover possible manifestations arising in new industries.
DOI: http://dx.doi.org/10.3126/ijosh.v3i2.631
Lactate Dehydrogenase and β-Glucuronidase as Salivary Biochemical Markers of Periodontitis Among Smokers and Non-Smokers
Objectives: This study aimed to establish lactate dehydrogenase (LDH) and β-glucuronidase as salivary biomarkers of periodontitis among smokers and non-smokers. Methods: This cross-sectional case-control study was conducted at the Aligarh Muslim University, Aligarh, India, between January and June 2017. A total of 200 participants were divided into four groups based on their periodontal and smoking statuses. Unstimulated mixed saliva samples were collected to estimate LDH and β-glucuronidase levels. In addition, total protein was estimated using Lowry’s method. Results: There was a significant increase in enzyme activity in the periodontitis groups compared to the non-periodontitis groups (P <0.001). However, significantly lower enzyme activity was observed among smokers, irrespective of periodontal status (P <0.001). Nevertheless, a receiver operating characteristic curve analysis indicated the diagnostic potential of both enzymes to be fair-to-excellent. Conclusion: Although smoking was found to significantly alter enzyme activity, LDH and β-glucuronidase were reliable salivary biomarkers of periodontitis among both smokers and non-smokers.
Keywords: Periodontitis; Biomarkers; Saliva; Lactate Dehydrogenase; beta-Glucuronidase; Smoking; Tobacco Use; India
An investigative and evaluative study of factors affecting quality of agricultural and farm information services in Kerala
Agriculture is not only a country’s backbone of food, livelihood and ecological security systems, but is also the very soul of its sovereignty. In Kerala population density is high and land is scarce. To achieve sustainable advancement in quality of human life, meeting the domestic food requirement is to be given foremost priority in development plans. As the area of cultivation cannot be increased and growth of population cannot be controlled growth in food production is to be achieved by qualitative improvement in farming. This requires improvements in material inputs, farming techniques, storage technology and research. Effective integration of these factors is tied closely to adequate information flow, which can be ensured only by an efficient information system for agricultural education, research, extension and development. So evaluation and improvement of existing information services is very crucial for sustainable agricultural growth. The study evaluates the existing information resources, facilities, services, possibilities for resource sharing, accessibility of external sources, and the factors that affect the quality and efficiency of information services in agricultural sector. Coverage is limited to the State of Kerala. Sample consist 105 institutions of different levels, and information users consisting of 426 scientists and 220 farmers. Different sets of questionnaires and interview schedule were used to elicit information. The study found that agricultural research conducted at various institutions in the region at huge public expense has generated knowledge for improving production. Along with these huge collections of acquired content is also stored in the sector. But when a farmer, an extension worker, a scientist or an administrator needs information it is not easily accessible. The study found that agricultural sector fails to effectively bank on information resources available due to the lack of an information system and network. Recommends an Agricultural and Farm Information System for Kerala. Suggests a model plan for a computer communication network for resource sharing between the agricultural institutions in the State, which will also ensure, smooth flow of results of research down to the grassroots level to achieve maximum productivity in agriculture
Glycemic control and periodontal disease in type 2 diabetes mellitus patients: A cross-sectional study
Introduction: Diabetes mellitus (DM) is a chronic, noncommunicable disease with concomitant oral manifestations that impact on dental care. Aim: To determine the correlation between glycemic control and periodontitis among 35-45 years aged patients with DM type 2 (DM2). Materials and Methods: A convenient sample of 40 subjects aged 35-45 years with DM2 on oral medication were recruited for the study. Glycosylated, hemoglobin(HbA1c), probing pocket depth (PPD), gingival index (GI), plaque index (PI), and the relevant drug history were recorded. The data were analyzed using unpaired student t-test to compare the means of PPD, GI, PI between different HbA1c levels, gender, and duration of drug, and the Pearson correlation was used to find correlation between HbA1c and PPD, GI, PI, duration of drug. Results: With the increase in HbA1c values there was a significant rise in PPD, PI scores, and GI scores (P < 0.001). Diabetic males had a higher PPD, PI, and GI score as compared to females. With the increase in duration of the drug, there was an increase in PPD, which was found to be statistically nonsignificant. Conclusion: Patients are having poor glycemic level had more severe periodontitis as compared to patients having a fair glycemic level
Effect of Fluoride Concentration in Drinking Water on Dental Fluorosis in Southwest Saudi Arabia
This study was intended to evaluate the fluoride concentration in drinking water and its effect on dental fluorosis in Southwest Saudi Arabia. Water samples were gathered rom wells, filtration plants and commercial brands (bottled water) in distinct urban and rural areas of Asir region of the Kingdom of Saudi Arabia (KSA). Overall, 63 water samples were collected from 12 locations and 9 brands of bottled water. ExStik® FL700Fluoridemeter was used in the analysis of water samples for fluoride levels. The total number of screened patients for dental fluorosis, aged between 9 and 50 years, was 1150; among them, 609 were males and 541 were females. Dean’s index criteria were used to examine the patients for dental fluorosis. The results revealed that fluoride levels varied between 0.03 and 3.8 ppm. People who drank well water displayed increased fluoride levels (>0.81 ppm). The prevalence of dental fluorosis was established to be 20.43% among the total number of examined patients. The findings of this study show very mild to moderate dental fluorosis prevail among the patients who consume well water in the Asir region
“Doctor, I have a Sulfa Allergy”: Clarifying the Myths of Cross-Reactivity
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