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Exploring the practice of common oral diseases among the patients visiting in the selected dental college and hospital in Bangladesh
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作者 Khalid Hasan Pasha Md.Fazlul Karim +4 位作者 md.mahmudur rahman Ashek Elahi Noor Md.Mamunur Rashid Nahid Al Nomann Kazi Golam Mohiuddin 《Life Research》 2022年第4期1-5,共5页
Background:Having the ability to identify potential health risk factors such as lifestyle,ethnicity,health status,and social determinants associated with oral health status risk,health care providers can take an activ... Background:Having the ability to identify potential health risk factors such as lifestyle,ethnicity,health status,and social determinants associated with oral health status risk,health care providers can take an active role in health screening to discover any need for clinical preventive services,including dental preventive services,and can detect health problems.Methods:A descriptive type of cross-sectional study was conducted to explore the practice of common oral diseases among the patients visiting in the selected dental college and hospital in Bangladesh from October 2019 to December 2019.About 100 patients were interviewed through a semi-structured questionnaire,followed by an oral examination through a checklist and a face-to-face interview.A systematically random sampling technique was employed to select the study population.Results:Among them,the(21-30)year age group shows a maximum 20%,whereas the(71-80)year age group represents the minority with only 2%.Among them,56%were male and 44%were female.Students represent the majority of 26%,whereas others(day laborers)represent only 4%.Decayed teeth remained in 72%of cases,teeth were missing in 31%of cases,and filled teeth were present in 24%of cases.A majority of 71%clean teeth once daily,whereas only 29%clean teeth twice daily.Again,only 30%brush teeth at night and a maximum of 95%brush teeth in the morning.Moreover,a maximum of 68%use toothpaste and brushes,while only 4%use meswak for cleaning their teeth.About 4%of cases with no debris,51%of cases with less than 1/3rd of the tooth with debris,32%of cases with 1/3rd-2/3rd of the tooth with debris,and 13%of cases with more than 2/3rd of the tooth with debris were present.Again,about 30%had no calculus,52%less than 1/3rd of tooth,16%in between 1/3rd and 2/3rd of tooth,and 2%more than 2/3rd of the calculus was present.About 47%of mild,22%of moderate,6%of severe and 25%had no inflammation.Furthermore,for treatment purposes,20.69%was advised for scaling,19.66%for filling,16.90%for root canal treatment,17.59%for extraction,17.24%for prosthodontic treatment,1.03%for orthodontic treatment,2.07%for pulpotomy,2.41%for pulpectomy,and 2.41%for minor surgery.Overall,about 72%of the respondents,mostly the students,are suffering from decayed teeth,which may be due to a lack of frequency of brushing,indicating 95%that it is once daily.In addition,the most alarming situation among them is about 20.69%required scaling,which may be due to improper and inadequate brushing maintenance.Conclusion:to some extent,the above scenario may reflect the negative hallmark for our country’s younger generation in terms of oral health practice.Therefore,the establishment of a preventive oral health policy by our policymakers for the general population,mostly school-going students,on an emergency basis. 展开更多
关键词 dental caries ABSCESS broken down root broken down crown decayed missing filled tooth root canal treatment orthopentomogram intra oral periapical cone beam computed tomography body mass index
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Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling
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作者 Sirajam Munira Niloy Paul +2 位作者 Md Ashraful Alam md.mahmudur rahman M.Shamim Kaiser 《Journal of Social Computing》 EI 2024年第1期1-14,共14页
Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling options.In response to this critical challenge,this paper presents a novel approach utilizing a Detection-Based ... Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling options.In response to this critical challenge,this paper presents a novel approach utilizing a Detection-Based Reward System(DBRS)alongside an innovative business model to promote effective plastic waste management,reduce plastic waste accumulation in the nature,and uphold environmental cleanliness.Leveraging the YOLOv5 algorithm for its exceptional accuracy,speed,and open-source availability,plastic bottle detection becomes a pivotal aspect of this system.Users seamlessly enroll in the system,triggering an automated detection process that computes reward points corresponding to their deposited plastic bottles.These reward points are meticulously stored within a centralized database.Beyond its operational facets,this comprehensive system encompasses a robust business model,strategically poised to capture widespread engagement with waste disposal practices,thereby contributing to the realization of Sustainable Development Goals(SDGs)geared towards fostering a healthier environment.Notably,the DBRS attains cutting-edge performance in plastic bottle detection,boasting an impressive mean Average Precision(mAP)of 0.973,underscoring its efficacy in tackling plastic pollution. 展开更多
关键词 smart environment reward system YOLOv5 deep learning business model
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