MyMedR

Displaying publications 21 - 24 of 24 in total

Abstract:

Sort:

Prosthetic Rehabilitation of Microstomia Patients: A Systematic Review of Published Case Reports and Case Series

Patil S, Raj AT, Sarode SC, Sarode GS, Menon RK, Bhandi S, et al.

J Contemp Dent Pract, 2019 Apr 01;20(4):508-515.
PMID: 31308286

STATEMENT OF PROBLEM: Prosthetic techniques commonly employed for the rehabilitation of edentulous patients might not be adequate in the treatment of patients with microstomia.
PURPOSE: The purpose of this paper is to systematically review all the prosthetic techniques that have been used in the oral rehabilitation of patients with microstomia.
MATERIALS AND METHODS: Data sources, including PubMed, Google Scholar, SCOPUS and Web of Science, were searched for case reports and case series published through September 2017. Three investigators reviewed and verified the extracted data. Only case reports and case series on prosthetic rehabilitation in microstomia patients published in the English language were considered eligible.
RESULTS: A total of 212 records were identified from the database search. Forty duplicate records were removed. The remaining 172 articles were assessed for eligibility, and 139 articles were removed because they did not satisfy the inclusion criteria. A total of 34 cases (including 32 case reports and 1 case series) were finally included in the qualitative analysis. The review revealed the use of a modified impression technique with flexible and sectional trays to record impressions in patients with microstomia. Modified forms of oral prostheses ranging from sectional, flexible, collapsible and hinged dentures to implant-supported prosthesis were fabricated to overcome the limited mouth opening. The success of the prosthetic technique primarily depended on the extent of the microstomia and the nature of the cause of the microstomia.
CONCLUSION: Even though the patient acceptance of the prosthetic techniques summarized in the systematic review were high, long-term success rates for each option could not be assessed because of the short follow-up time in most of the included case reports and series.
Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia

Adli Zakaria MN, Ahmed AN, Abdul Malek M, Birima AH, Hayet Khan MM, Sherif M, et al.

Heliyon, 2023 Jul;9(7):e17689.
PMID: 37456046 DOI: 10.1016/j.heliyon.2023.e17689

Accurate water level prediction for both lake and river is essential for flood warning and freshwater resource management. In this study, three machine learning algorithms: multi-layer perceptron neural network (MLP-NN), long short-term memory neural network (LSTM) and extreme gradient boosting XGBoost were applied to develop water level forecasting models in Muda River, Malaysia. The models were developed using limited amount of daily water level and meteorological data from 2016 to 2018. Different input scenarios were tested to investigate the performance of the models. The results of the evaluation showed that the MLP model outperformed both the LSTM and the XGBoost models in predicting water levels, with an overall accuracy score of 0.871 compared to 0.865 for LSTM and 0.831 for XGBoost. No noticeable improvement has been achieved after incorporating meteorological data into the models. Even though the lowest reported performance was reported by the XGBoost, it is the faster of the three algorithms due to its advanced parallel processing capabilities and distributed computing architecture. In terms of different time horizons, the LSTM model was found to be more accurate than the MLP and XGBoost model when predicting 7 days ahead, demonstrating its superiority in capturing long-term dependencies. Therefore, it can be concluded that each ML model has its own merits and weaknesses, and the performance of different ML models differs on each case because these models depends largely on the quantity and quality of data available for the model training.
Safe delivery practices: experience from cross-sectional data of Bangladeshi women

Kabir MA, Goh KL, Khan MM, Al-Amin AQ, Azam MN

Asia Pac J Public Health, 2015 Mar;27(2):NP1170-81.
PMID: 22426560 DOI: 10.1177/1010539512437401

This study examines the safe delivery practices of Bangladeshi women using data on 4905 ever-married women aged 15 to 49 years from the 2007 Bangladesh Demographic and Health Survey. Variables that included age, region of origin, education level of respondent and spouse, residence, working status, religion, involvement in NGOs, mass media exposure, and wealth index were analyzed to find correlates of safe delivery practices. More than 80% of the deliveries took place at home, and only 18% were under safe and hygienic conditions. The likelihood of safe deliveries was significantly lower among younger and older mothers than middle-aged mothers and higher among educated mothers and those living in urban areas. Economically better-off mothers and those with greater exposure to mass media had a significantly higher incidence of safe delivery practices. A significant association with religion and safe delivery practices was revealed. Demographic, socioeconomic, cultural, and programmatic factors that are strongly associated with safe delivery practices should be considered in the formulation of reproductive health policy.
Fulltext The impact of different plant extracts on population suppression of Helicoverpa armigera (Hub.) and tomato (Lycopersicon esculentum Mill) yield under field conditions

Ali S, Li Y, Haq IU, Abbas W, Shabbir MZ, Khan MM, et al.

PLoS One, 2021;16(12):e0260470.
PMID: 34852006 DOI: 10.1371/journal.pone.0260470

Helicoverpa armigera (Hub.) is a destructive pest of the tomato (Lycopersicon esculentum Mill) crop in Pakistan. Although insecticides are the primary management strategy used to control H. armigera, most of them are not effective due to considerable toxic residual effects on the fruits. Nonetheless, H. armigera is rapidly evolving resistance against the available pesticides for its management. This situation calls upon the need of alternative management options against the pest. Different plant extracts have been suggested as a viable, environment-friendly option for plant protection with minimal side effects. Furthermore, the plant extracts could also manage the insect species evolving resistance against pesticides. This study evaluated the efficacy of different plant extracts (i.e., Neem seed, turmeric, garlic and marsh pepper) against H. armigera. Furthermore, the impact of the plant extracts on growth and yield of tomato crop was also tested under field conditions. The results revealed that all plant extracts resulted in higher mortality of H. armigera compared to control. Similarly, the highest plant height was observed for the plants treated with the plant extracts compared to untreated plants. Moreover, the highest tomato yield was observed in plants treated with plant extracts, especially with neem seed (21.013 kg/plot) followed by pepper extract (19.25 kg/plot), and garlic extract 18.4 kg/plot) compared to the untreated plants (8.9 kg/plot). It is concluded that plant extracts can be used as eco-friendly approaches for improving tomato yield and resistance management of H. armigera.