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Dede Wahyu Fahmi Muharam,Hwa-Soek Hwang,Dong-Hyun Shin 한국국제협력단 2020 국제개발협력 Vol.15 No.2
Population growth in Indonesia is quite high, and this condition can cause an increase in poverty levels with a high level of urbanization. Rural development, which is closely related to agricultural development, can be one solution to this problem. Agricultural development in rural areas is closely related to farmers’ community groups. For these reasons, such groups have a very important role in the development of rural areas and the agricultural sector, eventually contributing to the development of the economy. This study determines the most important factors influencing the success of a farmers’ community group in Indonesia. Based on the results of regression calculations with the 95% confidence level, there are two significant variables, namely the years of operation of each community group (X₂) and the previous experience of groups as institutions (subak) (X<sub>5</sub>). If the years of existence increases by 1 year, the score representing the success of the farmer group will increase by 7.329 points and conversely so. If the group was formerly a subak, the level of success of the farmers’ community group would increase by 8.89 points.
Allah Jurio Khaskheli,Muharam Ali,Syad Zakir Hussain Shah,Zohra Fatima Memon,Saleem Awan,Muhammad Ibrahim Khaskheli,Mohsin Ali Khaskheli,Bilqees Magsi,Zareen Qambrani,Asad Ali Khaskheli 한국식물생명공학회 2021 JOURNAL OF PLANT BIOTECHNOLOGY Vol.48 No.2
The present study aimed to evaluate the initiation, proliferation potential, and mass clonal production ability of a micropropagation system for banana through tissue culture. A total of 60 explants were cultured on basal media supplemented with various concentrations of BAP and NAA. Banana plants regenerated on MS basal medium (control) without the addition of BAP + NAA showed a significantly (P < 0.05) lower survival rate with no signs of shoots up to the end of the experimental period. The results further revealed that the performance in MSS-XI medium was almost 89%, followed by MSS-IX and MSS-X media, both of which showed performance up to 88%. In contrast, the performance in the MSS-XVI medium was less than 60%, at the less duration of time and highly shoot induction detected at MSS-XIII medium. The maximum number of shoots (4.9) was observed in the medium supplemented with growth adjuster MSS-XI, followed by the MSS-XII medium (4.5). Surprisingly, the best performance was observed for the MSR-VII medium approximately 16 days after initiation, while the lowest performance was observed with MSR-XI (approximately 31 days). The maximum rooting percentage (98%) was observed in the MSR-V to MSR-VIII media (98%), while the minimum rooting percentage was observed in MSR-XI (approximately 45%)
Anti-Müllerian hormone as a predictor of polycystic ovary syndrome treated with clomiphene citrate
Hestiantoro, Andon,Negoro, Yuwono Sri,Afrita, Yohana,Wiweko, Budi,Sumapradja, Kanadi,Natadisastra, Muharam The Korean Society for Reproductive Medicine 2016 Clinical and Experimental Reproductive Medicine Vol.43 No.4
Objective: This study aimed to determine the threshold of $anti-M{\ddot{u}}llerian$ hormone (AMH) as predictor of follicular growth failure in polycystic ovary syndrome (PCOS) patients treated with clomiphene citrate (CC). Methods: Fifty female subjects with PCOS were recruited and divided into two groups based on successful and unsuccessful follicular growth. Related variables such as age, infertility duration, cigarette smoking, use of Moslem hijab, sunlight exposure, fiber intake, body mass index, waist circumference, AMH level, 25-hydroxy vitamin D level, and growth of dominant follicles were obtained, assessed, and statistically analyzed. Results: The AMH levels of patients with successful follicular growth were significantly lower (p= 0.001) than those with unsuccessful follicular growth ($6.10{\pm}3.52$ vs. $10.43{\pm}4.78ng/mL$). A higher volume of fiber intake was also observed in the successful follicular growth group compared to unsuccessful follicular growth group (p= 0.001). Our study found the probability of successful follicle growth was a function of AMH level and the amount of fiber intake, expressed as Y =-2.35+($-0.312{\times}AMH\;level$)+($0.464{\times}fiber\;intake$) (area under the curve, 0.88; 95% confidence interval, 0.79-0.98; p< 0.001). Conclusion: The optimal threshold of AMH level in predicting the failure of follicle growth in patients with PCOS treated with CC was 8.58 ng/mL.
Mapping hotspots of tuberculosis cases with validation on site in Gombak, Selangor, Malaysia
Nur Adibah Mohidem,Malina Osman,Zailina Hashim,Farrah Melissa Muharam,Saliza Mohd Elias,Aminuddin Ma’pol 대한공간정보학회 2024 Spatial Information Research Vol.32 No.1
Tuberculosis (TB) is regarded as one of the leading causes of death globally. The control strategies and resource allocation need to be prioritized in high risk areas by implementing accurate mapping of spatial heterogeneity of the disease. This cross-sectional study aimed to identify the hotspots of TB cases with validation on site in Gombak district, Malaysia. The 3325 cases of TB from 1st January 2013 to 31st December 2017 were collected from the MyTB web and Tuberculosis Information System database. The data includes individual’s ID, date of diagnosis, and patient’s address. The coordinate of each patient’s address was geocoded using Google Earth and then they were georeferenced with the base map of Gombak using geographic information system. Getis-Ord Gi* statistics was used to identify the hotspots of TB cases. The hotspots analysis were validated by capturing pictures of the locations during feld visit and compared with the hotspot map. The hotspots of TB cases were consistently distributed at the southwestern part of Gombak, with 99% confdence level that includes 136 points across 5-year period, where the prison was located. Other location of hotspots includes apartments, hostels, markets, factories, and schools. The hotspots shifted gradually from the northwestern to the southwestern parts of the district. This study revealed heterogeneity in the spatial distribution of TB across vulnerable and densely populated areas, thus able to conduct early screening, initiate the treatment, and improve the intervention programme. In the future, inclusion of associated risk factors of the disease based on genotyping of the isolates was recommended to track the TB transmission from diferent sources to the hotspot’s location.